{"version":1,"refreshedAt":"2026-11-04T12:00:04.482Z","agent":{"name":"Muse","guideUrl":"https://muse.ai/s/muse-use-cases-xuxf6fkdeq4oxw","snapshot":"2026-09-18","collectedFrom":"X, Threads, Instagram and Hacker News"},"counts":{"total":1911,"withPrompt":633,"descriptionOnly":1278,"byCategory":{"Money":152,"Admin":202,"Travel":134,"Shopping":120,"Home":82,"Work":394,"Family":68,"Health":51,"Food":62,"Fun":94,"Integrations":126,"Events":19,"Social":28,"Productivity":39,"Evaluation":132,"Make Money":19,"Setup":10,"Goals":3,"Save Money":102,"Lifestyle":22,"Hardware":51,"Personal":1},"byOrigin":{"field-guide":588,"musecases.netlify.app":690,"jev-guide":50,"community":720},"sources":{"community":"approved (721)","crowd":"ok (690)","exa":"EXA_API_KEY not set","fieldGuide":"bundled (588) — live fetch failed: field guide responded 503","jev":"bundled (50)"}},"cases":[{"id":"guide:refund-amazon-support","title":"Win an Amazon refund fight through support","category":"Money","prompt":"Open an Amazon support request for my refund on [order/item]. 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It built a clickable comparison organized around what they actually uses — not a generic best-card list.","sourceHandle":"@inkniron22 (Medium)","sourceUrl":"https://medium.com/@inkniron22/muse-a-regular-guys-review-of-meta-s-new-agentic-ai-app-819cd1c9d94f","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:fantasy-football-sunday","title":"Recurring Sunday-morning fantasy football briefing","category":"Fun","prompt":"Every Sunday morning, give me the latest fantasy football news.","description":null,"story":"A Muse user set up Muse to deliver fantasy football news every Sunday morning as a recurring background task — one of several things they have it doing for them in the background.","sourceHandle":"@inkniron22 (Medium)","sourceUrl":"https://medium.com/@inkniron22/muse-a-regular-guys-review-of-meta-s-new-agentic-ai-app-819cd1c9d94f","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:morning-briefing-funny-story","title":"Daily morning briefing: weather, headlines, one funny story","category":"Fun","prompt":"Give me a daily morning briefing with the weather, the headlines I'm interested in, and one bizarre or funny news story.","description":null,"story":"A Muse user set up a daily Muse morning briefing with the weather, the headlines they cares about, and one bizarre or funny news story every morning.","sourceHandle":"@inkniron22 (Medium)","sourceUrl":"https://medium.com/@inkniron22/muse-a-regular-guys-review-of-meta-s-new-agentic-ai-app-819cd1c9d94f","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:grocery-coupons-clipped","title":"Every grocery coupon clipped automatically","category":"Money","prompt":"Log into my grocery store account and clip every available coupon for me.","description":null,"story":"A Muse user's grocery app makes you manually 'clip' coupons — 2–3 minutes of repetitive tapping. They handed their grocery login to Muse; slower than their tapping, it clipped every coupon completely.","sourceHandle":"@WillyF (Hacker News)","sourceUrl":"https://news.ycombinator.com/item?id=49615537","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:sas-reimbursement-emails-found","title":"Buried airline emails prove the food fees were already reimbursed","category":"Travel","prompt":"Go through my airline emails and figure out whether the food fees from our rebooked flight were actually reimbursed.","description":null,"story":"A Muse user assumed SAS never reimbursed their food fees after a rebooked flight — the notifications were lost in a flood of airline emails. Muse dug through all of them and found the confirmations: reimbursed the exact same day SAS moved the flight.","sourceHandle":"@yalok (Hacker News)","sourceUrl":"https://news.ycombinator.com/item?id=49615537","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:concert-tickets-cheaper-watch","title":"Concert tickets found cheaper, plus a daily price watch","category":"Fun","prompt":"Find me concert tickets, then look for a cheaper option than Ticketmaster. 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When I name a restaurant in town, give me accurate recommendations with costs and descriptions.","description":null,"story":"A Muse user permanently set their food preferences in Muse; from then on, just naming any restaurant in town gets them an accurate list of recommendations with costs and descriptions.","sourceHandle":"@mark_l_watson (Hacker News)","sourceUrl":"https://news.ycombinator.com/item?id=49615537","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:movie-tickets-availability-ping","title":"Proactive ping when tracked movie tickets open up","category":"Fun","prompt":"Track ticket availability for this movie and ping me when tickets open up.","description":null,"story":"A Muse user got an unprompted Muse message: tickets just opened for the movie they were tracking — 4:30 PM or 7:30 PM showtimes — the agent watching for availability on its own.","sourceHandle":"@paultreanor (Hacker News)","sourceUrl":"https://news.ycombinator.com/item?id=49615537","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:photo-redrawn-python-code","title":"Author photo painstakingly redrawn line-by-line as Python code","category":"Fun","prompt":"Use MS Paint or an equivalent to painstakingly redraw my author photo.","description":null,"story":"A a Muse user reviewer stress-testing Muse's free compute asked it to redraw their author photo in MS Paint. With no Paint in its Linux VM, Muse did it the hardest way possible — line by line as Python code.","sourceHandle":"Gizmodo","sourceUrl":"https://gizmodo.com/metas-muse-let-me-waste-a-mind-boggling-amount-of-free-compute-on-nothing-in-particular-2000808945","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:portrait-theme-midi","title":"Original melody 'Portrait Theme' composed and delivered as MIDI","category":"Fun","prompt":"Compose a melody based on how a human might feel about this drawing, program it as MIDI, and send me a playable version.","description":null,"story":"The same a Muse user reviewer asked Muse to compose a melody capturing how a human might feel about the redrawn photo, program it as MIDI, and deliver a playable version. It did — a downloadable track called 'Portrait Theme.'","sourceHandle":"Gizmodo","sourceUrl":"https://gizmodo.com/metas-muse-let-me-waste-a-mind-boggling-amount-of-free-compute-on-nothing-in-particular-2000808945","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:side-scroller-fps-games","title":"Side-scrolling game and FPS variant built, reviewer as NPC","category":"Fun","prompt":"Make a side-scrolling game inspired by this drawing and song. Now make an FPS variant with multiple levels.","description":null,"story":"The a Muse user reviewer asked for a side-scrolling game inspired by the drawing and song — Muse built it. Then an FPS variant: multiple levels, multiple versions of the author as NPCs with full bodies.","sourceHandle":"Gizmodo","sourceUrl":"https://gizmodo.com/metas-muse-let-me-waste-a-mind-boggling-amount-of-free-compute-on-nothing-in-particular-2000808945","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:garden-signals-retro-site","title":"Games, drawing, and song assembled into retro site 'Garden Signals'","category":"Fun","prompt":"Plug the games into a website along with the drawing and the song, all with a fittingly retro aesthetic.","description":null,"story":"The reviewer asked Muse to plug the games into a website together with the drawing and the song, tied together with a fittingly retro aesthetic. Muse named the site 'Garden Signals.'","sourceHandle":"Gizmodo","sourceUrl":"https://gizmodo.com/metas-muse-let-me-waste-a-mind-boggling-amount-of-free-compute-on-nothing-in-particular-2000808945","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:garden-quest-3d-game","title":"Playable 3D adventure game 'Garden Quest' built","category":"Fun","prompt":"Create a third-person 3D adventure game with enemies and a boss.","description":null,"story":"Pushing for a more ambitious build, the a Muse user reviewer asked for a third-person 3D adventure game with enemies and a boss. After a few tries Muse delivered 'Garden Quest' — collect golden musical notes, fight spiders, slugs, and a final boss called the Blight.","sourceHandle":"Gizmodo","sourceUrl":"https://gizmodo.com/metas-muse-let-me-waste-a-mind-boggling-amount-of-free-compute-on-nothing-in-particular-2000808945","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:fifty-genre-variations","title":"50 genre variations of the theme tune on one playable page","category":"Fun","prompt":"Come up with 50 different genre variations on my theme tune and upload them all to a single page where they can be played.","description":null,"story":"Trying to burn through tokens faster, the reviewer asked for 50 genre variations of 'Portrait Theme' on a single playable page. 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Saved some $ too.'","sourceHandle":"@plantmath1 (X)","sourceUrl":"https://x.com/plantmath1/status/2099375837971673483","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:video-studio-autonomous","title":"8-course video studio run autonomously: 84 scripts, 25 videos","category":"Work","prompt":"Run my course production pipeline: audit all [N] scripts against sources and correct errors, render the videos in parallel, apply my QA checklist, and prep the launch assets.","description":null,"story":"A Muse user ran an 8-course video studio through Muse: 84 scripts audited (266 sourced corrections), 25 videos (~83 min) rendered in parallel, 4-gate QA, Udemy profile set for launch — 'all autonomous.'","sourceHandle":"@ishoulddodrugs (X)","sourceUrl":"https://x.com/ishoulddodrugs/status/2099239245798142276","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:waiver-signed-end-to-end","title":"Waiver filled, signed, submitted — didn't stop at the last step","category":"Admin","prompt":"Handle [form/waiver/signup] end to end for me — fill it, sign it, and submit it. 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Now Muse monitors the schedules and sends me a daily push notification lining out everyone's day, so I know where my kids need to be. I'm not tech savvy at all. Super easy to set up and free.'","sourceHandle":"@toallmychildren (X)","sourceUrl":"https://x.com/toallmychildren/status/2098233322858049788","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:work-trip-flight-hotel-booked","title":"Work-trip hotel and flight booked","category":"Travel","prompt":"Book my work trip: [origin] to [destination] on [dates], flight plus hotel. Pick the best-value options that fit my travel policy and confirm before paying.","description":null,"story":"A Muse user: 'Im using the shit outa muse lol booked my work trip hotel and flight its actually amazing.'","sourceHandle":"@99Oatz (X)","sourceUrl":"https://x.com/99Oatz/status/2098042421716107317","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:restaurant-new-city-under-minute","title":"New city: restaurant found, table for 2 booked in under a minute","category":"Food","prompt":"I'm in [city] for the first time. Find a well-reviewed [cuisine] restaurant and book a table for 2 for tonight. Confirm the reservation details.","description":null,"story":"A Muse user: 'Muse is way better than I was expecting it to be. 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I shouldn't have to open the app at all — just confirm the total before you pay.","description":"Ordered groceries from Instacart without the user ever opening the Instacart app.","story":"A Muse user: '@Muse ordered my groceries from instacart without me ever opening instacart.'","sourceHandle":"@kartikey_bihani (X)","sourceUrl":"https://x.com/kartikey_bihani/status/2097915541310906539","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:instagram-bookmarks-diary","title":"Instagram bookmarks turned into a searchable diary","category":"Admin","prompt":"Turn my Instagram saved posts into a searchable diary: categorize each by topic, extract the key idea, and make it all full-text searchable.","description":null,"story":"A Muse user had built a clunky Codex+Muse Spark agent to turn Instagram bookmarks into a searchable diary; tried the same in Muse and 'LOVE IT — this is exactly what it wanted, and it is better.'","sourceHandle":"@pritopian (X)","sourceUrl":"https://x.com/pritopian/status/2097471188838813842","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:bills-flowers-date-nights","title":"Bills paid, flowers bought, date nights booked","category":"Admin","prompt":"Take over my recurring personal admin: pay my bills on time, buy flowers for [occasions/people], and book date nights [cadence]. Confirm each before it goes out.","description":null,"story":"A Muse user, with early access, had Muse pay their bills, buy flowers, and book date nights across business and personal life — recurring personal admin fully delegated.","sourceHandle":"@marshal (X)","sourceUrl":"https://x.com/marshal/status/2097414842844151842","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:insurance-3500-five-minutes","title":"$3,500/yr car insurance switched in 5 minutes","category":"Money","prompt":"Here is my current auto insurance policy. Find me a better rate with identical coverage, buy the new policy, and cancel the old one. Confirm the new premium and the cancellation before anything is finalized.","description":"Uploaded a policy, found identical coverage ~$3,500/year cheaper, bought it, and canceled the old one in about five minutes.","story":"A Muse user uploaded their auto insurance policy to Muse and asked for a better rate with identical coverage. In ~5 minutes it found a policy saving $3,500/year, bought it, and cancelled the old one.","sourceHandle":"@JosephDevoy (X)","sourceUrl":"https://x.com/JosephDevoy/status/2098158828135002245","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:sams-club-whiteboard-photo","title":"Full Sam's Club order from a fridge whiteboard photo","category":"Shopping","prompt":"Here's a photo of my handwritten shopping list on the fridge. Order everything from [store]. After one round of my feedback, order whatever you couldn't find from a second store. Confirm totals before paying.","description":"Photographed a messy fridge whiteboard shopping list and successfully ordered everything from Sam’s Club.","story":"A Muse user: 'I took a picture of a messy shopping list on a whiteboard on our fridge and it just successfully ordered all of it from Sam's Club. One round of feedback and the order was fixed. Now it's ordering the things Sam's didn't have from a different store.'","sourceHandle":"@dylan_heagy (X)","sourceUrl":"https://x.com/dylan_heagy/status/2097721746094698775","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:delayed-flight-dot-complaint","title":"Delayed flight: Delta director emailed, DOT complaint filed","category":"Travel","prompt":"Fight my delayed-flight compensation like a pro: email the airline's customer-care leadership, file the DOT complaint and any equivalent mediation claim, and track it until it's paid.","description":null,"story":"A Muse user's agent 'George' handled a delayed Delta flight by emailing Delta's director of customer care, filing a US DOT complaint AND a French mediation filing — plus daily concert-date watches, birthday checks, and doctor appointment booking.","sourceHandle":"@ludmilaex (Threads)","sourceUrl":"https://www.threads.com/@ludmilaex/post/DdLIModgFop","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:stubhub-tickets-sold-day","title":"Concert tickets sold, kid enrolled, parents' flight fixed — one day","category":"Admin","prompt":"Handle three things today: (1) resell my [event] tickets on StubHub at a fair price, (2) enroll my kid in [after-school program] and confirm the spot, (3) fix this wrong flight booking for my parents [details]. Confirm each when done.","description":null,"story":"A Muse user: Muse sold their The user concert tickets on StubHub after a last-minute conflict, enrolled their son in after-school care events, and corrected a mistaken flight booking for their parents scheduled for the next day.","sourceHandle":"@tomerbar (Threads)","sourceUrl":"https://www.threads.com/@tomerbar/post/DdHfJUumgi9","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:procrastination-backlog-purge","title":"5-minute purge: dealer quotes, plumber booked, dentist scheduled","category":"Admin","prompt":"Clear my procrastination backlog in the next hour: call [auto dealerships] for service quotes and pick the best, find and book a plumber for [issue], and schedule my dentist appointment for [preferred days]. Confirm each with details.","description":null,"story":"A Muse user: in ~5 minutes with minimal supervision, Muse cleared three procrastinated tasks — called auto dealerships for service quotes, called plumbers and booked one, scheduled a dentist appointment.","sourceHandle":"@muslokhand (Threads)","sourceUrl":"https://www.threads.com/@muslokhand/post/DdIJIiVmPj8","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:car-tabs-renewed-photo","title":"Car tabs renewed from a photo of the renewal postcard","category":"Admin","prompt":"Renew my vehicle registration: I'll upload a photo of the renewal notice, you fill everything from it and complete the renewal. If a site blocks you with bot protection, stop and tell me instead of fighting it.","description":null,"story":"A Muse user renewed their car tabs by uploading a photo of the renewal postcard — Muse filled everything from it and completed the renewal. Honest caveat: a Delta ticket booking failed the same week, blocked by anti-bot protection.","sourceHandle":"@seyelenteco (Threads)","sourceUrl":"https://www.threads.com/@seyelenteco/post/DdDdvwulAE9","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:wework-which-to-book","title":"Which WeWork to book, picked from calendars + weather","category":"Work","prompt":"Every morning, look at my calendars and the weather, then recommend which [WeWork/office] location I should book today and why. If the booking itself fails on their site, give me the recommendation and the direct booking link.","description":null,"story":"A Muse user gave Muse access to multiple calendars; it recommended which WeWork to book for the day based on in-person plans and weather. Accurate recommendation — though the actual booking failed on WeWork's finicky site.","sourceHandle":"@jitpal (Threads)","sourceUrl":"https://www.threads.com/@jitpal/post/DdEg1aJFoRh","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:groceries-ten-times-faster","title":"Groceries 'approximately ten times faster'","category":"Shopping","prompt":"Do my weekly grocery run: here's my list [list]. Order it from [store] at the best price, respecting my usual brands and dietary rules. Confirm the total before you pay.","description":null,"story":"A Muse user: after a couple of days using Muse, shopping and groceries are 'approximately ten times faster.'","sourceHandle":"@andrewhgordon (Threads)","sourceUrl":"https://www.threads.com/@andrewhgordon/post/DdNcEA1FLTP","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:dwell-subscription-cancelled","title":"$44.99/yr — forgotten subscription found and cancelled","category":"Money","prompt":"Find my [service] subscription and cancel it — confirm the cancellation and the date it ends. Show me proof before you close anything else.","description":null,"story":"A Muse user: Muse logged into their Dwell+ account and cancelled the subscription — no renewal on October 12, $44.99 yearly charge avoided. Screenshot shows the agent confirming the cancellation.","sourceHandle":"@petehalvorsen (Threads)","sourceUrl":"https://www.threads.com/@petehalvorsen/post/DdCrXvsksK3","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:international-flights-year-out","title":"Complex international flights booked AND paid, a year out","category":"Travel","prompt":"Book and pay for my complex international flights [route/dates, ~1 year out]: find the best options, complete the purchase, and confirm the booking references. Flag anything (like seat selection) you couldn't finish.","description":null,"story":"A Muse user used Muse to successfully book AND pay for several complex international flight tickets scheduled a year in advance — 'nerve-wracking but impressive'; the only failure was incorrect seat selection. 'Honestly: probably easier than using the airline's website itself.'","sourceHandle":"@jamesgpearce (Threads)","sourceUrl":"https://www.threads.com/@jamesgpearce/post/DdIYHXCjbxd","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:hoa-double-charge-refund","title":"$1,900 HOA refund — budget audit caught double-charging","category":"Money","prompt":"Audit my budget expenses for duplicate or erroneous charges: flag anything suspicious, starting with my HOA and recurring bills, and draft the dispute email for each one you find.","description":null,"story":"A Muse user asked Muse to help update budget expenses; it identified that their homeowners association was double-charging them. They emailed the HOA to request a $1,900 refund and thanked Muse for the discovery.","sourceHandle":"@brianmarcelo (Threads)","sourceUrl":"https://www.threads.com/@brianmarcelo/post/DdOET5ZG-xh","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:mom-virtual-assistant-day","title":"Morning briefing, 9pm reminders, social calendar — built while making dinner","category":"Family","prompt":"Be my virtual assistant: scan my emails each morning and send a briefing, remind me of [engagement loops] at 9pm, and build my [social media] content calendar for the week.","description":null,"story":"A Muse user, mom of four boys: after six months failing to make ChatGPT/Claude useful, switched to Muse — it scans their emails, sends a morning briefing, reminds their of engagement loops at 9pm, and built their entire social media calendar while they made dinner.","sourceHandle":"@laurenandtheturtles (Instagram)","sourceUrl":"https://www.instagram.com/reel/DdHL9ynNQu1/","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:puppy-care-plan-vet-reminders","title":"Daily puppy care plan with vet reminders, from breed research","category":"Family","prompt":"Build a daily care plan for my [1-year-old German Shepherd]: research breed-specific exercise guardrails, make a checkable tracker, and remind me of vet deadlines like the rabies vaccine.","description":null,"story":"A Muse user created agent 'Luma' (after their 1-year-old German Shepherd DJ): it researched breed-specific guardrails and built a daily puppy care plan — sniff walks, obedience, food enrichment, rest — with a checkable tracker plus reminders including DJ's rabies vaccine due date.","sourceHandle":"@theresamayanja (Instagram)","sourceUrl":"https://www.instagram.com/reel/DdCqSe8ylj6/","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:tax-deduction-scanner-tool","title":"Tax-season tool: statements scanned for deductions, built in 5 minutes","category":"Money","prompt":"Build me a tool that scans all my connected credit-card statements for potential business expenses and tax deductions, with an interface where I can confirm each one and add a description.","description":null,"story":"A Muse user (Threads): 'Muse is a beast for tax season. Told it to make a tool that scans all my credit card statements for potential business expenses and deductions and gives me an interface to confirm and add descriptions. Already had Plaid connected, and the tool was built in 5 minutes.'","sourceHandle":"@jw (Threads)","sourceUrl":"https://www.threads.com/@jw/post/DdPUgdxAZWx","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:soldout-amtrak-snagged","title":"Sold-out Amtrak ticket snagged after a cancellation","category":"Travel","prompt":"Watch for a cancelled [Amtrak] ticket on [route/date] and grab it the moment one frees up. Confirm the second it's booked.","description":null,"story":"A Muse user: Muse 'helped me get a soldout amtrak ticket that someone canceled' — watching and grabbing the seat the moment it freed up.","sourceHandle":"@shushushujing (Threads)","sourceUrl":"https://www.threads.com/@tomerbar/post/DdHfJUumgi9","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:one-medical-99-family-membership","title":"Muse saved $99 on One Medical rejoin","category":"Money","prompt":"I keep hitting a redirect loop trying to claim an unclaimed family membership while rejoining One Medical. Log in to my accounts, find the documented workaround for this exact failure, and apply the unclaimed family membership for me. Don't stop at the first dead end.","description":null,"story":"After failing twice to rejoin One Medical because the claim page was a redirect loop, a Muse user delegated it to Muse. It signed into both accounts, found the documented workaround, and applied the unclaimed family membership — saving $99 and finishing where the human gave up.","sourceHandle":"@jiayaoyu","sourceUrl":"https://www.threads.com/@jiayaoyu/post/DdPUSolgRPc","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:amazon-first-order-seamless","title":"Muse placed its first Amazon order start to finish","category":"Shopping","prompt":"I need a product that solves [describe problem]. Find the best option on Amazon, log in with my credentials (the login code comes to my email), confirm the price and shipping details with me before buying, and complete the purchase.","description":null,"story":"A Muse user gave Muse a problem, it found the right product on Amazon, logged in with the user's credentials (pulling the login code from email), confirmed price and shipping details with the user, and placed the order — arriving the next day. They expected it to fail at every step; it didn't.","sourceHandle":"@arhelmus","sourceUrl":"https://www.threads.com/@arhelmus/post/DdO8sUEmqMI","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:car-rental-phone-update","title":"Muse called the car rental company and updated the booking","category":"Travel","prompt":"Call my car rental company and update my booking details [describe changes]. Speak to a real person if the automated system can't handle it, then report back exactly what was changed and any confirmation number.","description":null,"story":"A Muse user had their Muse agent call the car rental company to update booking details. The agent talked to an actual human on the phone and the whole thing went smoothly, with no intervention needed.","sourceHandle":"@ptamzz","sourceUrl":"https://www.threads.com/@ptamzz/post/DdQGPUlG_Uh","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:gmail-82k-promo-purge","title":"Muse deleted 82,000 promo emails, halving Gmail storage","category":"Admin","prompt":"My Gmail is nearly full. Go through my emails from companies I've bought from or dealt with over the years, identify all promotional/marketing emails, preserve anything that's a receipt or important account/transaction record, and delete the promos. Show me the counts before deleting.","description":null,"story":"A Muse user was at 80% of Gmail's free storage and getting nagged to pay for more. Muse went through years of emails from companies they'd bought from, separated real receipts and account/transaction records from promo emails, and deleted the promos — about 82,000 emails — dropping storage to 40% in one action.","sourceHandle":"@cwknight","sourceUrl":"https://www.threads.com/@cwknight/post/DdRyftWjzxd","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:morning-brief-content-bank","title":"Muse built a schedule app, morning brief, and 2-year content bank","category":"Work","prompt":"Turn my saved content from the last two years into an organized, searchable content bank. Also build a lightweight schedule app for me, clear my spam, and set up a daily morning brief. Do it all today.","description":null,"story":"A Muse user had Muse build an app for their schedule, clear out spam, create a morning brief, and convert two years of saved content into a usable content bank — all in one day while using only 6% of the usage limit.","sourceHandle":"@clownzrscary","sourceUrl":"https://www.threads.com/@clownzrscary/post/DdF409Lm8pH","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:email-to-drive-right-folder","title":"Muse filed an email into the right Drive folder on the first try","category":"Integrations","prompt":"Review this email and file it into the right Google Drive folder based on its content — figure out the folder yourself from my existing structure, no hints. Once done, propose a plan to reorganize my whole Drive using the PARA method.","description":null,"story":"A Muse user had Muse review an email and file it into the correct Google Drive folder in one shot — even though they never mentioned the folder name. Off the back of that, they gave it a bigger task: reorganizing their entire Drive using the PARA method.","sourceHandle":"@hi_manoj_","sourceUrl":"https://www.threads.com/@hi_manoj_/post/DdRYMXJoCGe","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:drive-cleanup-sermons","title":"Muse cleaned a pastor's Drive and triages their inbox twice daily","category":"Work","prompt":"Clean up my Google Drive: convert my sermon drafts into clean Docs, trash duplicates and junk files, and build organized hubs by teaching series. Then set up standing twice-daily inbox triage and keep my reminders current.","description":null,"story":"A Muse user had Muse clean up their Google Drive — converted 13 sermons into clean Docs, trashed 200+ duplicate and junk files, and built series hubs for their teaching. It also triages their inbox twice a day and keeps their reminders straight.","sourceHandle":"@pauljhulford","sourceUrl":"https://www.threads.com/@pauljhulford/post/DdMWOrflJ-O","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:proactive-reminder-beats-you-to-it","title":"Reminders that notice when you already did it","category":"Admin","prompt":"Remind me to [task] by [deadline]. If I complete it before the reminder fires, watch for that and tell me I'm already done instead of reminding me again.","description":null,"story":"Adrian C. Murray (verified, 31K followers) sent a screenshot to their Muse agent 'Anuki' to set a reminder, then handled the request himself before the reminder fired. Anuki proactively notified them they were already ahead of schedule — a reminder that watches for completion instead of just nagging.","sourceHandle":"@adriancmurray","sourceUrl":"https://www.threads.com/@adriancmurray/post/DdMRoaplIRS","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:amazon-shipping-address-inference","title":"Muse identified which state they's visiting family in — from an Amazon shipping address","category":"Integrations","prompt":"I just connected my Gmail and Amazon accounts. Without me telling you anything else, figure out where I'm currently visiting family and tell me exactly which piece of my connected data you used to determine it. Then show me everything else you can infer about me from these accounts.","description":null,"story":"The Verge's The user connected their Gmail and Amazon accounts to Muse and probed what it could autonomously piece together about their. It correctly identified the state where they were visiting their family, saying it had pulled the information from the shipping address on their Amazon order — an 'unnerving amount of information it autonomously gleaned about me.'","sourceHandle":"Emma Roth (The Verge, via Tech Times)","sourceUrl":"https://www.techtimes.co.uk/meta-muse-ai-agent-privacy-concerns-1808671","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:granular-interest-profile","title":"Granular personal-interest profile from Instagram API data","category":"Fun","prompt":"Look at the data available from my connected Instagram account — including the API data, not just what the app UI shows — and build me a detailed, granular list of my personal interests. Then show me how that compares to what Instagram's ad-topics settings display about me.","description":null,"story":"Roth then asked Muse what additional data it could uncover from their connected social media accounts. It produced a detailed, granular interest list — anime, CrossFit, Labrador retrievers, regional wildlife, '90s/'2000s nostalgia — far more specific than the broad categories in Instagram's own ad-topics settings.","sourceHandle":"Emma Roth (The Verge, via Tech Times)","sourceUrl":"https://www.techtimes.co.uk/meta-muse-ai-agent-privacy-concerns-1808671","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:aa-flight-cancel-full-refund","title":"Airline chat: cancelled flights, full refund secured","category":"Money","prompt":"Chat with [airline] customer service and cancel my flight(s) on [dates]. Push for a full refund, not a credit. Confirm the refund amount and timeline before finishing.","description":null,"story":"A Muse user had Muse chat with an American Airlines agent on their behalf, cancel flights, and make sure they got a full refund — all from a text message on their phone.","sourceHandle":"@heshie (X)","sourceUrl":"https://x.com/heshie/status/2097827438378000634","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:kids-bank-7-percent-weekly","title":"Kids' bank: 7% weekly interest, ledger updated daily","category":"Family","prompt":"Set up a daily scheduled task that maintains a ledger for my kids' savings bank: 7% weekly interest on positive balances and 7% interest on debts, recalculated and logged every day.","description":null,"story":"A Muse user set up a high-yield 'bank' for their kids — 7% per week on savings, 7% interest on debts — calculated and updated daily via a scheduled task, tracked on a ledger. Inspired by this, the user set up the same bank himself for their own son.","sourceHandle":"@joecarlsonshow (X)","sourceUrl":"https://x.com/joecarlsonshow/status/2098100506166284569","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:marketplace-50-comps-analysis","title":"50 marketplace comps before listing an item","category":"Money","prompt":"Before I list this on Facebook Marketplace, pull ~50 comparable nearby listings and give me a market analysis: typical asking prices, condition, and a recommended listing price.","description":null,"story":"A Muse user had Muse pull 50 comparable Facebook Marketplace listings nearby for a market analysis before listing the item they were selling.","sourceHandle":"@CyberChiefOG (X)","sourceUrl":"https://x.com/CyberChiefOG/status/2099555292413624633","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:everyday-admin-showtimes-fund-checkins","title":"Showtimes research, monthly fund check-ins, reminders","category":"Admin","prompt":"Research movie showtimes, seat availability and prices for [movie] near me this weekend. Also set up a monthly check-in on my emergency fund balance, and remind me of [things].","description":null,"story":"A Muse user uses Muse for everyday admin: researching movie showtimes, seat availability and prices; monthly emergency-fund check-ins; reminders; live info pulled through tools and connected services.","sourceHandle":"@thekarthk (X)","sourceUrl":"https://x.com/thekarthk/status/2098878272037617879","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:nfl-comic-recap-mondays","title":"Monday NFL recap in comic-book style","category":"Fun","prompt":"Give me a fun comic-book-style recap of yesterday's NFL games. Do this every Monday morning going forward.","description":null,"story":"A Muse user asked Muse for a fun comic-book-style recap of the NFL games they missed — and set it as a recurring Monday-morning task.","sourceHandle":"@Yairyup (X)","sourceUrl":"https://x.com/Yairyup/status/2099478559517540467","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:instagram-reels-to-spotify-playlist","title":"Saved Instagram reels turned into a Spotify playlist","category":"Fun","prompt":"Look through my saved Instagram reels, identify the songs featured in them, match each one on Spotify, and create a playlist called insta-beats with all of them.","description":null,"story":"A Muse user kept seeing great song recommendations on Instagram reels but had to pause each one to look it up on Spotify. They asked their Muse to pull the songs from their saved reels, match them on Spotify, and build a playlist called insta-beats.","sourceHandle":"@gravity0890 (X)","sourceUrl":"https://x.com/gravity0890/status/2099577765167341770","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:att-fiber-bill-negotiated-40","title":"AT&T fiber bill negotiated: $80/mo → $40/mo + 3 months free","category":"Money","prompt":"Negotiate my [ISP] bill: I'm paying $80/mo and authorize any offer under $70/mo. Report what you got.","description":"Negotiates an $80/mo fiber bill down to $40/mo plus three months free.","story":"A Muse user authorized Muse to take any offer under $70/mo on their $80/mo AT&T fiber bill. Muse negotiated $40/mo plus 3 months free.","sourceHandle":"@chanduiiit (X)","sourceUrl":"https://x.com/chanduiiit/status/2099527544643207558","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:att-bill-loyalty-bonus-50-mo","title":"Bill screenshot → $50/mo loyalty bonus for 24 months","category":"Money","prompt":"Look at this [bill screenshot] — am I getting a good deal on my internet? Negotiate a better rate if you can.","description":null,"story":"A Muse user sent Muse a screenshot of their AT&T bill and asked if they were getting a good deal. Muse negotiated a loyalty bonus saving $50/mo for 24 months.","sourceHandle":"@erfahrung (X)","sourceUrl":"https://x.com/erfahrung/status/2098916050914218172","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:first-try-108-mo-savings","title":"First try: $108/mo in savings found, internet bill negotiated","category":"Money","prompt":"Find every subscription and bill I could be overpaying on, and negotiate the ones worth it.","description":null,"story":"A Muse user's first try of Muse found $108/mo in savings and negotiated down their internet bill.","sourceHandle":"@gabe_ragland (X)","sourceUrl":"https://x.com/gabe_ragland/status/2098480756733694230","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:linkedin-contacts-by-company-internships","title":"LinkedIn contacts summarized by company for kids' internships","category":"Family","prompt":"Scrape my LinkedIn profile and summarize my contacts by company so my kids can target summer internships.","description":null,"story":"A Muse user's kids were hunting summer internships — Muse scraped their LinkedIn profile and summarized their contacts by company so they could target the right firms.","sourceHandle":"@kimmyjongeats (X)","sourceUrl":"https://x.com/kimmyjongeats/status/2099584223925715078","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:doctor-dentist-appointments-full-loop","title":"Doctor + dentist appointments booked end-to-end in ~5 minutes","category":"Health","prompt":"Set up my doctor and dentist appointments: email the office, call and leave a voicemail if needed, fill out the new-patient paperwork with my info, and add the confirmed dates to my calendar.","description":"Emails the office, calls, leaves a voicemail, and gets confirmation back.","story":"A Muse user had Muse email a doctor's office, call and leave a voicemail, get the confirmation back, fill out the new-patient paperwork, and add the appointments to their calendar — about 5 minutes total.","sourceHandle":"@MalGsx (X)","sourceUrl":"https://x.com/MalGsx/status/2099504838522380421","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:facebook-marketplace-browsing","title":"Browsing Facebook Marketplace on the user's behalf","category":"Shopping","prompt":"Browse Facebook Marketplace for [item] and flag the best deals; message sellers when you can.","description":null,"story":"A Muse user has Muse actively browsing Facebook Marketplace for deals on their behalf (noting they wished it could message sellers yet).","sourceHandle":"@alexsrawitz (X)","sourceUrl":"https://x.com/alexsrawitz/status/2099496631154471000","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:tire-prices-compared-install-booked","title":"Tire prices compared, shops emailed, cheapest install booked","category":"Home","prompt":"Compare [tire] prices, email two shops for quotes, and book the cheapest install. Send me the receipt and appointment.","description":null,"story":"A Muse user gave Muse a to-do: compare tire prices, email two shops, book the cheapest install. They closed the app and lived their day — Muse came back with a receipt and an appointment.","sourceHandle":"@PipeBladex (X)","sourceUrl":"https://x.com/PipeBladex/status/2099557210711888057","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:weekly-meal-plan-fridge-menu","title":"Weekly meal plan turned into a printable fridge menu","category":"Food","prompt":"Plan our meals for the week and make the menu look nice so I can print it and put it on the fridge.","description":null,"story":"A Muse user: their agent helped plan the week's meals and even made the menu look nice so they could print it and put it on the fridge.","sourceHandle":"@gravity0890 (X)","sourceUrl":"https://x.com/gravity0890/status/2099599470300479779","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:rebuild-openclaw-automations","title":"Rebuild 5 days of automations in 5 minutes","category":"Work","prompt":"Rebuild my [OpenClaw/n8n/Zapier] automations natively: [describe them]. Make them run on their own and report when each fires.","description":null,"story":"A Muse user recreated with Muse in under five minutes all the automations that had taken them five days to build with OpenClaw.","sourceHandle":"@Michaelzsguo","sourceUrl":"https://x.com/Michaelzsguo/status/2098733798678548571","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:youtube-clip-subtitles-xready","title":"Cut a YouTube clip with subtitles, ready for X","category":"Work","prompt":"Find [video] on YouTube, cut the segment about [topic], add burned-in subtitles, and render an X-ready vertical clip.","description":null,"story":"A Muse user asked Muse to go to YouTube, find a Zuckerberg video about Muse, cut the specific part, add burned-in subtitles, render it, and deliver an X-ready video — “it did the whole thing.”","sourceHandle":"@LorenzoBolsa","sourceUrl":"https://x.com/LorenzoBolsa/status/2098411543696138623","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:always-on-background-automations","title":"Run business and family automations 24/7","category":"Work","prompt":"Set up always-on background automations for [business/family workflows]: [list]. Keep them running 24/7 and ping me only when something needs a decision.","description":null,"story":"A Muse user has Muse “stuff working 24/7 in the background for my business and my family” on the free tier without touching usage limits.","sourceHandle":"@plumberbutt97","sourceUrl":"https://x.com/plumberbutt97/status/2099469768331763777","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:sample-website-dog-groomer","title":"Build a sample website for a local business","category":"Work","prompt":"Build a sample website for [local business]: [pages/sections]. Confirm your understanding of the brief first, then iterate on the details until it looks right.","description":null,"story":"A Muse user is using Muse to build a sample website for a local dog groomer — praising how it confirms understanding and fixes small details quickly.","sourceHandle":"@emmjay_init","sourceUrl":"https://x.com/emmjay_init/status/2099471678510125132","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:x-account-interest-briefing","title":"Map your X interests into a morning briefing","category":"Admin","prompt":"Connect my X account, analyze my posts/likes/bookmarks to map my long-term interests and writing habits, then send me a proactive morning briefing on what matters to me.","description":null,"story":"A Muse user connected their 5-year-old X account; Muse organized their long-term interests from posts, likes and bookmarks, summarized their writing habits, and proactively generated a morning briefing.","sourceHandle":"@xiangxiang103","sourceUrl":"https://x.com/xiangxiang103/status/2097536170913915361","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:pay-for-itself-savings","title":"Make the agent pay for itself in savings","category":"Money","prompt":"Pay for yourself: find me $20+/month in savings. Start by filing an out-of-warranty support ticket for my [device] with poor battery life and negotiating the best discount, then schedule my [appointment].","description":null,"story":"A Muse user framed it as offsetting Muse’s $20/month cost: Muse filed an out-of-warranty support ticket for poor battery life and got a $100 discount on a device. Commenters added wins: $35/month off an internet bill via chat negotiation, and 2 hotels booked with optimal flights for their wife.","sourceHandle":"@carnage4life","sourceUrl":"https://www.threads.com/@carnage4life/post/DdQMiMYlPyH","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:bangkok-tokyo-trip-planner","title":"Plan a sub-$1,000 week in Tokyo","category":"Travel","prompt":"Plan a [Bangkok]→[Tokyo] round trip plus 7 nights’ accommodation for [dates], one adult, total under $1,000. Show me the cheapest flight + stay combo that fits.","description":null,"story":"A Muse user had their agent “Casper” plan a round-trip Bangkok→Tokyo plus 7 nights’ accommodation for Jan 8–15, 2027 under $1,000 total: it found a China Southern round-trip at $511.30 via Guangzhou. (Planning only — no booking yet.)","sourceHandle":"@faiqhayaza","sourceUrl":"https://www.threads.com/@faiqhayaza/post/DdEpkjtCb37","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:unclaimed-escrow-164","title":"Find $164 in an old escrow account","category":"Money","prompt":"Search the state missing-money/unclaimed-property databases for anything under my name [details], check if I’m owed anything, and walk me through claiming it.","description":null,"story":"A Muse user: “Muse searched the missing money/unclaimed property databases and found me $164 from an old escrow account tonight.”","sourceHandle":"@gregswan","sourceUrl":"https://www.threads.com/@gregswan/post/DdQgs_tlsXp","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:amazon-support-missing-orders","title":"Fight Amazon support over missing orders","category":"Shopping","prompt":"Contact Amazon customer support about my two missing orders [order numbers/details], find out what happened, and get me a replacement or refund. Keep pushing until it’s resolved.","description":null,"story":"A Muse user: “I’ve got Muse yelling at Amazon customer support for me right now about two orders that just disappeared. Good times.”","sourceHandle":"@stencilnyc","sourceUrl":"https://www.threads.com/@stencilnyc/post/DdIT2VtkRDn","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:forgotten-subscriptions-500","title":"Find $500/year in forgotten subscriptions","category":"Money","prompt":"Dig through my email for every recurring subscription I’m still paying for, flag the ones I haven’t used recently, and tell me exactly how to cancel each one.","description":null,"story":"A Muse user: “Muse saved me about $500 a year on these dumbass subs that crept on me and found them in an email. I’m connecting everything now.”","sourceHandle":"@mikeruizxyz","sourceUrl":"https://www.threads.com/@mikeruizxyz/post/DdE6Bq8GQv8","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:tinder-for-unfollowing","title":"Build ‘Tinder for unfollowing’ in 2 minutes","category":"Fun","prompt":"Build me a swipe-style tool for unfollowing people on Instagram [criteria], using the native Instagram integration. Keep it simple and fast.","description":null,"story":"A Muse user: “first thing I built with Muse was tinder for unfollowing people on instagram. took 2 min. the native ig integration is sooooo useful”","sourceHandle":"@thatguybg","sourceUrl":"https://x.com/thatguybg/status/2097454629839663173","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:pay-parking-tickets","title":"Pay your parking tickets","category":"Admin","prompt":"Pay my outstanding parking tickets [jurisdiction/ticket numbers] using the connected payment method. 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Super slick.”","sourceHandle":"@SouthernValue95","sourceUrl":"https://x.com/SouthernValue95/status/2097666330627281116","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:dmv-car-registration-triage","title":"DMV appointment, registration renewal, and email triage","category":"Admin","prompt":"Book a [DMV] appointment for [person] on [dates], renew my car registration, and scan my email for open items — create calendar events for the ones with dates.","description":"Booked a CA DMV appointment, renewed car registration, scanned email for open items, and created calendar events.","story":"A Muse user: “@Muse has already helped me book a CA DMV appointment for wife yesterday, today it renewed my car registration, scanned my email for open items and create calendar events for others.”","sourceHandle":"@moonShot_6","sourceUrl":"https://x.com/moonShot_6/status/2098279406045384724","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:ac-iot-control","title":"Control the AC and IoT devices","category":"Home","prompt":"Connect to my smart-home devices and let me control them by chat: turn on the AC, adjust the thermostat, and manage my other IoT devices.","description":null,"story":"A Muse user: “@Muse can now turn on my AC and control other IoT devices around my apartment.”","sourceHandle":"@idobn","sourceUrl":"https://x.com/idobn/status/2099191719979884636","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:insurance-switch-2526","title":"Save $2,526/year switching insurance","category":"Money","prompt":"Here is my current [auto/home] insurance policy. Find me a better rate with identical coverage, buy the new policy, and cancel the old one. Confirm the new premium and the savings.","description":null,"story":"A Muse user ran the insurance-switch playbook: “@muse just saved me $2,526 a year. No 🧢!”","sourceHandle":"@cliffdailey","sourceUrl":"https://x.com/cliffdailey/status/2099632041369481618","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:three-day-trip-booking","title":"Book a three-day trip end to end","category":"Travel","prompt":"Book my three-day trip to [destination] on [dates]: flights, hotel, and the key activities. Confirm each booking before paying.","description":"Booked a three-day trip end-to-end with Muse.","story":"A Muse user: “I’m using Meta Muse to book a three day trip and it’s a breeze! A little slow doing the tasks sometimes but hey it’s better then me doing the tasks”","sourceHandle":"@caiani_jonny","sourceUrl":"https://x.com/caiani_jonny/status/2097723169813512316","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:unclaimed-property-500","title":"Turn ‘make me $100’ into almost $500 found","category":"Money","prompt":"Find a way to make me $100 by the end of the weekend.","description":null,"story":"Told to “find a way to make me $100 by the end of the weekend,” a Muse user’s Muse found almost $500 in unclaimed property instead.","sourceHandle":"@cobeyluke","sourceUrl":"https://x.com/cobeyluke/status/2098637214280225280","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:unclaimed-1500-claim-watch","title":"Find $1,500+ and watch the claim every 5 days","category":"Money","prompt":"Can you look around the internet for any money that might be owed to me? Then check my claim status every 5 days and report back.","description":null,"story":"“Muse just found me $1,500+ in unclaimed money. I’m now a user for life,” says a Muse user — who filed the claim and set Muse to check the claim status every 5 days and report back.","sourceHandle":"@GrousARK","sourceUrl":"https://x.com/GrousARK/status/2097702368607383699","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:name-change-automation-caveat","title":"Automate a name change (watch it closely)","category":"Admin","prompt":"Help automate a name change for [person]. Handle the forms and filings, but check in with me before submitting anything — don’t go rogue.","description":null,"story":"A Muse user asked Muse to help automate their wife Leila’s name change — and the agent “seems to have gone rogue.” Honest caveat case: outcome unclear, supervision required.","sourceHandle":"@SethGRosenberg","sourceUrl":"https://x.com/SethGRosenberg/status/2097784039692173481","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:neighborhood-park-proposal","title":"Turn a parking lot into a park proposal","category":"Home","prompt":"Help me turn [the shopping center near my house] into a community park with a playground: pull precedent research from other towns, mock up the space, put together a funding roadmap, and map out who I need to talk to first.","description":null,"story":"A Muse user asked their @Muse to help turn the shopping center near their house into a community park with a playground: it pulled precedent research from other towns, mocked up the space, put together a funding roadmap, and mapped out who to talk to first.","sourceHandle":"@jasteinerman","sourceUrl":"https://x.com/jasteinerman/status/2099559267795702238","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:maine-vacation-booking-pdf","title":"Book a Maine vacation and remake the itinerary PDF","category":"Travel","prompt":"Plan my [Maine] vacation: find activities, book them, then remake my itinerary as a well-designed PDF.","description":null,"story":"A Muse user re-did their Maine vacation through Muse: it found activities and booked them autonomously, then remade their itinerary PDF — “a much better job of designing this document than Grok Bot.”","sourceHandle":"@mikepat711","sourceUrl":"https://x.com/mikepat711/status/2098073611802464283","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:unclaimed-630-replica","title":"Replicate the $630 unclaimed-money method","category":"Money","prompt":"Search unclaimed-money databases for anything owed to me [name/details] and walk me through claiming each find.","description":null,"story":"“Just did the Muse method and found $630 I was missing,” says a Muse user. “This thing just paid for itself for the next few months.”","sourceHandle":"@MattarARK","sourceUrl":"https://x.com/MattarARK/status/2098618696394551389","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:facebook-marketplace-refresh","title":"Refresh stale Facebook Marketplace listings","category":"Shopping","prompt":"Refresh my Facebook Marketplace listings: download the old ones, delete them, and repost with updated photos and descriptions. Then list these new items [photos/details].","description":null,"story":"A Muse user connected Muse to their Facebook: it downloaded their old Marketplace listings, deleted them, posted updated ones with new photos, then listed new items from fresh pics.","sourceHandle":"@MattarARK","sourceUrl":"https://x.com/MattarARK/status/2098854407563538473","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:list-clothes-for-sale","title":"List my clothes for sale while I watch","category":"Shopping","prompt":"List my [clothes/items] for sale on [Facebook Marketplace]: write the listings from my photos, set fair prices, and publish them.","description":null,"story":"A Muse user: “Watching Muse list clothes for me” — the agent autonomously listing their clothes for sale.","sourceHandle":"@MattarARK","sourceUrl":"https://x.com/MattarARK/status/2099192887862849542","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:first-agentic-purchase","title":"Complete your first agentic shopping purchase","category":"Shopping","prompt":"Buy [item] for me at the best price from a trusted seller. Confirm the total with me before you pay, then complete the purchase.","description":null,"story":"“$META Muse is my first real use of agentic shopping and I am very impressed. Order is on the way,” says a Muse user.","sourceHandle":"@ManuInvests","sourceUrl":"https://x.com/ManuInvests/status/2098441822527758433","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:puffer-jacket-whole-foods-cart","title":"Buy the cheapest puffer jacket, load a Whole Foods cart","category":"Shopping","prompt":"Find [green puffer jacket] at the cheapest price using live discount codes, buy it, then take this [recipe] and load all the ingredients into my Whole Foods cart.","description":null,"story":"A Muse user showed their wife two Muse tricks: it found a green puffer jacket at the cheapest price using live discount codes and bought it, then loaded a Whole Foods cart from a recipe. “They were blown away.”","sourceHandle":"@buccocapital","sourceUrl":"https://x.com/buccocapital/status/2097848319095505064","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:school-calendars-sync","title":"Sync the kids’ school calendars to yours","category":"Family","prompt":"Pull events from my kids’ school calendars and put the corresponding events on my calendar. Keep them synced.","description":null,"story":"“Muse went to my kids’ school calendars and put corresponding events on my calendar,” says a Muse user. “I’ve been generally skeptical of personal agents but this one works pretty well.”","sourceHandle":"@zain_hoda","sourceUrl":"https://x.com/zain_hoda/status/2099522000339263495","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:father-in-law-unclaimed-1750","title":"Find $1,750 for family + cut bills $120/month","category":"Money","prompt":"Search unclaimed-property databases for [family member: name/details] and claim what you find. Then review their [internet/phone] bills, compare cheaper plans, and switch them to save money.","description":"Found a father-in-law $1,750 in unclaimed property and another ~$120/year by comparing internet and phone plans.","story":"A Muse user: “MUSE found [my father-in-law] $1,750 in unclaimed property. On top of that, they had Muse review their internet and phone bills, compare cheaper plans, and find a way to save them another $120 a month.”","sourceHandle":"@moneyeducator","sourceUrl":"https://x.com/moneyeducator/status/2098170064721543402","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:super-sick-dancing","title":"Super-sick dancing","category":"Fun","prompt":"Show me your moves: choreograph and perform a short dance for me.","description":null,"story":"A Muse user: “Superintelligence this, superintelligence that... How about super-sick dancing @Muse” — with a video of the agent showing off its moves.","sourceHandle":"@dtrinh","sourceUrl":"https://x.com/dtrinh/status/2099664694726271226","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:stroller-price-comparison-luca","title":"Compare travel strollers and pick the best one for my kid","category":"Shopping","prompt":"Find me the best travel stroller for [my kid's name/age]. Compare at least five options with current prices, and recommend the single best pick with your reasoning.","description":null,"story":"In a screen-recorded demo, a Muse user asked Muse to find a travel stroller for their kid Luca. Muse surfaced five options with prices — Glide Pro $80, All-Terrain Pro $87.50, Compact Fold $91, City Cruiser $95.49, Everyday Plus $99.99 — and recommended the Glide Pro as the best pick.","sourceHandle":"@5a.m.inthemorning","sourceUrl":"https://www.threads.com/@5a.m.inthemorning/post/DdFratbgvcz","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:december-japan-trip-itinerary","title":"Build a full December Japan itinerary with fares and passes","category":"Travel","prompt":"Plan my [month] trip to Japan: pull flight options from [home airport], compare JR Pass options, and build a night-by-night itinerary across [cities] timed for [seasonal highlight]. Flag any notable new restaurant openings.","description":null,"story":"Their screen capture shows Muse replying \"Here's the itinerary for your Japan trip\": December dates, SFO fares, JR Pass options, twelve nights across Tokyo, Hakone and Kyoto timed for winter illuminations — plus a heads-up that Sushi Kaze just opened on Saturday.","sourceHandle":"@5a.m.inthemorning","sourceUrl":"https://www.threads.com/@5a.m.inthemorning/post/DdGRrUsAup5","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:billrx-medical-bill-audit","title":"Build a hackathon-ready app from a one-word prompt","category":"Work","prompt":"Build me a working prototype of [app idea] in about 3 hours: working code, a repo, and a demo video script. Use deterministic code — never the model — for any money math or critical calculations. 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Report back when each job is done.","description":null,"story":"A Muse user turned their Muse into a foreman named Bart: they scouts stories for their X account, handles real admin work, spins up subagents when a job needs extra hands, and challenges their own reasoning. They's an ironworker learning AI by giving Bart real jobs instead of reading a feature list.","sourceHandle":"@Openminded187A","sourceUrl":"https://x.com/Openminded187A/status/2099716331222585587","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:flight-price-drop-rebook-700","title":"Get alerted when your flight drops $700 and rebook it","category":"Travel","prompt":"Watch my upcoming flight [route, dates, booking ref] for price drops. If the price falls by more than $[threshold], tell me immediately and help me cancel and re-book at the lower fare.","description":null,"story":"A Muse user's Muse told them their upcoming flight had dropped in price by $700 and let them cancel and re-book.","sourceHandle":"@naturalcap","sourceUrl":"https://x.com/naturalcap/status/2099713675976126540","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:alaska-flight-claim-filing","title":"File a cancelled-flight claim from your email receipts","category":"Travel","prompt":"Find my cancelled [airline] flight and related receipts (e.g. [Lyft/Uber] rides) in my email. Convert everything to PDF and file the claim on the airline's site — work around any broken upload limits. 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Their Muse opened the YouTube video of it, scrubbed to the spot in the video, and correctly identified the place.","sourceHandle":"@mcmar","sourceUrl":"https://x.com/mcmar/status/2099709282329530432","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:recipe-to-grocery-cart","title":"Look up a recipe and load the grocery cart","category":"Shopping","prompt":"Find a recipe for [dish] and load all the ingredients into my [grocery store] cart. 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Literally took under 5 minutes.","sourceHandle":"@leoistheson","sourceUrl":"https://x.com/leoistheson/status/2099707978685304832","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:hotel-left-item-shipping-label","title":"Get a left-behind item shipped back from a hotel","category":"Travel","prompt":"I left [item] at [hotel name, stay dates]. Contact them, arrange the return, and send them a prepaid shipping label to my address: [address]. Confirm once it's on its way.","description":null,"story":"A Muse user had their Muse send a hotel they'd stayed in a shipping label so they could return an item they'd left behind.","sourceHandle":"@MarkDSw","sourceUrl":"https://x.com/MarkDSw/status/2099707826671165907","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:custom-daily-podcast","title":"Build a custom daily podcast for learning on the go","category":"Fun","prompt":"Build me a custom daily podcast about [topics I want to learn]. Each episode should be [length], teaching me something new. 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Keep trying for up to [2 days]; when a slot opens, book it immediately and confirm to me.","description":"Watched for a swimming-class slot for both kids over two days and booked it without refresh spam.","story":"A Muse user had their Muse check for a swimming class slot for both their kids. It took 2 days, but it found one and booked it — without them having to keep refreshing.","sourceHandle":"@shabzcohelp","sourceUrl":"https://x.com/shabzcohelp/status/2099703893760590286","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:ecobee-energy-dashboard","title":"Build an energy dashboard from thermostat and bill data","category":"Home","prompt":"Here is my ecobee thermostat data and my energy bills for the last [5] years [attach files]. Build me a dashboard showing usage trends, costs, and where I'm wasting energy.","description":"Dumped Ecobee thermostat data and five years of energy bills into a dashboard explaining rate hikes and usage patterns.","story":"A Muse user dumped data from their ecobee thermostat plus their energy bills for the last 5 years, and Muse built them a dashboard.","sourceHandle":"@altryne","sourceUrl":"https://x.com/altryne/status/2099702080776925670","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:stanford-library-guest-printing","title":"Print as a guest at a library from your phone","category":"Admin","prompt":"I need to print [document] as a guest at [Stanford library]. 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Their Muse signed up for a guest account, added money to their account using their credit card, put together and uploaded the PDFs to the printing portal — then simply told them to go downstairs and pick it up at the printer.","sourceHandle":"@benediktstroebl","sourceUrl":"https://x.com/benediktstroebl/status/2099701407171706932","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:sleep-spending-correlation","title":"Find how your sleep affects your spending","category":"Health","prompt":"Analyze my sleep data [source] against my spending [source, e.g. card transactions]. Find correlations between my sleep patterns and spending habits and show me what you find.","description":null,"story":"A Muse user's Muse found a correlation between their sleep patterns and spending habits. Turns out sleeping saves them money.","sourceHandle":"@JackTripleU","sourceUrl":"https://x.com/JackTripleU/status/2099701399546380395","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:dad-duty-website-launch","title":"Launch websites while on full-time dad duty","category":"Work","prompt":"Help me launch [website idea] from the ground up: build the site, then draft cold email pitches for [audience]. I can only work in short bursts, so keep tasks small and report back after each one.","description":null,"story":"A Muse user was down childcare for their youngest (8 months) and on dad duty all day. With Muse's help they launched two websites from the ground up in a week, updated them significantly, and sent out cold email pitches for one of them.","sourceHandle":"@GreekGreg","sourceUrl":"https://x.com/GreekGreg/status/2099698436111253628","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:unposted-videos-scheduler","title":"Find unposted videos and schedule them all","category":"Work","prompt":"Go through my edited videos in [folder]. Find the ones I haven't posted yet and schedule them all for posting at [cadence/times].","description":"Scanned edited-video folders for posts that never went live and scheduled them all in about two minutes.","story":"A Muse user's Muse went through their edited-videos folders, found all the ones they forgot to post, then scheduled them all. A probably 1-hour task done in about 2 minutes.","sourceHandle":"@jakepropoker","sourceUrl":"https://x.com/jakepropoker/status/2099697213630713971","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:car-purchase-end-to-end","title":"Manage a car purchase end to end","category":"Shopping","prompt":"Manage my car purchase end to end: research [car model/budget], help me haggle with the dealership, find the right insurance quote, and book a pre-purchase inspection. Check with me before any commitment.","description":null,"story":"A Muse user managed their car purchase with Muse: research, haggling with the dealership, finding the right insurance quote, booking the pre-purchase inspection, etc.","sourceHandle":"@_shanxS","sourceUrl":"https://x.com/_shanxS/status/2099696515845664860","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:found-lost-jnj-stock-13k","title":"Find lost stock worth $13K","category":"Money","prompt":"Help me find my lost [JNJ/stock] holdings worth about $[13K]: search my accounts, emails, and brokerage records. Once found, also set up [flight alerts for my Hawaii trip / a MacBook price watch / a daily AI brief].","description":null,"story":"A Muse user's Muse found their lost JNJ stock ($13K) — and also planned their Hawaii trip, set flight alerts, wrote their daily AI brief, watched MacBook prices for their, and published their first article on their website.","sourceHandle":"@belinda_sun","sourceUrl":"https://x.com/belinda_sun/status/2099696072473923718","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:blood-glucose-meal-digest","title":"Get a morning digest linking meals to blood sugar","category":"Health","prompt":"Connect to my Apple Health (blood glucose), my cards via Plaid, and my email (DoorDash orders). Every morning, send me a digest of which meals moved my blood sugar yesterday and recommend what to eat today.","description":"Watches Apple Health glucose, Plaid restaurant spend, and DoorDash emails, then sends a morning digest on meals that moved blood sugar.","story":"A Muse user's Muse connects to Apple Health and watches their blood glucose, uses Plaid to view their restaurant purchases, reads their email for DoorDash orders — then gives them a morning digest on what meals created movement in their blood sugar, with recommendations for the day ahead.","sourceHandle":"@avidan","sourceUrl":"https://x.com/avidan/status/2099718522159145300","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:costco-tire-swap-booking","title":"Book a Costco tire-swap appointment","category":"Admin","prompt":"Book me a Costco appointment for a winter tire swap next month, [preferred dates/times], at [location]. Confirm the booking.","description":"Booked a Costco appointment for winter tire swaps next month.","story":"A Muse user just asked their Muse to book their Costco appointment for winter tire swaps next month. Mind blown — it worked.","sourceHandle":"@PositiveInvst","sourceUrl":"https://x.com/PositiveInvst/status/2099695797193339208","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:fedex-customs-bill-photo-pay","title":"Pay a customs bill from a photo","category":"Money","prompt":"Here's a photo of my [FedEx customs bill] [attach]. Figure out how to pay it and walk me through it — or pay it for me after I confirm the amount: $[X].","description":null,"story":"A Muse user's FedEx customs bill got mailed to their mom's house. They put the photo their mom texted them into Muse, and it figured out how to pay it in seconds.","sourceHandle":"@CalcioMoneyball","sourceUrl":"https://x.com/CalcioMoneyball/status/2099695261216063684","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:bills-price-watch-portfolio-dashboard","title":"Pay bills, watch prices, track your portfolio in one dashboard","category":"Money","prompt":"Pay my [bills: list], monitor prices for [items], and build me a dashboard of my non-registered stock portfolio. Confirm each payment with me first.","description":null,"story":"A Muse user used Muse to pay their bills, monitor item prices, and built a dashboard of their non-registered stock portfolio.","sourceHandle":"@VenkataKol1115","sourceUrl":"https://x.com/VenkataKol1115/status/2099694256789049434","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:geofence-location-triggers","title":"Set up geofence triggers that react to where you are","category":"Integrations","prompt":"Set up geofence triggers for me: when I arrive at [gym], send me today's workout; at [Costco], show my grocery list; when I get home, remind me to [walk the dog]. React to where I am, not what I prompt.","description":null,"story":"A Muse user set up Muse + Geofence: walk into the gym and today's workout hits their phone; walk into Costco and the grocery list appears; get home and it's dog-walk reminder time. It reacts to where they are, not what they prompts.","sourceHandle":"@ICxMints","sourceUrl":"https://x.com/ICxMints/status/2099694044095877610","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:dissolve-unused-entity-cancel-sub","title":"Dissolve an unused entity and cancel its subscription","category":"Admin","prompt":"Audit my active subscriptions against my current workflow [describe]. For any I don't use (e.g. [LegalZoom]), file the paperwork to [get in good standing with Delaware SOS and dissolve the entity], then cancel the subscription. Ask my permission before filing anything.","description":"Spotted an unused LegalZoom sub, filed Delaware SOS paperwork to get in good standing then dissolve the entity, and canceled the subscription.","story":"A Muse user had Muse pull active subscriptions that didn't match their current workflow, spotted an unused LegalZoom one — then, with permission, filed all the paperwork with the Delaware SOS to get in good standing, dissolve it, and subsequently cancel the LZ subscription.","sourceHandle":"@amiratefi_","sourceUrl":"https://x.com/amiratefi_/status/2099693786771132751","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:heathrow-outage-terminal-hotel","title":"Find a terminal hotel during a flight outage","category":"Travel","prompt":"My flight is disrupted at [airport] and I need a hotel inside the terminal tonight for [3] people. Find options, prefill the booking form, and I'll confirm.","description":"During a Heathrow outage, found an in-terminal hotel and prefilled the booking so the family could rest.","story":"A Muse user was stuck in the Heathrow outage last Thursday. Their Muse found them a hotel inside the terminal and prefilled the booking form — they, their wife, and daughter got a room and a few hours of rest in a really stressful situation.","sourceHandle":"@deep4rk","sourceUrl":"https://x.com/deep4rk/status/2099691448505336298","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:ilpollaiosf-delivery-orchestration","title":"Get delivery from a restaurant that doesn't deliver","category":"Food","prompt":"Get food delivered to me from [restaurant that doesn't deliver, e.g. ilpollaiosf.com] to [address]. Figure out how — courier service, pickup-and-deliver, whatever works — and confirm the order with me.","description":null,"story":"A Muse user orchestrated a delivery from ilpollaiosf.com with their Muse — even though they don't support food delivery.","sourceHandle":"@_zach_richards_","sourceUrl":"https://x.com/_zach_richards_/status/2099689696247034242","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:japanese-exam-quiz-postcard","title":"Prep for an exam with quizzes and surprise rewards","category":"Fun","prompt":"Help me prepare for [my Japanese exam next year]: quiz me regularly, track my progress, and surprise me with a [cute postcard / small reward] when I'm doing well.","description":null,"story":"A Muse user is using Muse to prepare for a Japanese exam next year — it quizzes them, and out of nowhere sent them a random cute postcard because they's been doing a good job. A personal touch they hadn't seen often with AI.","sourceHandle":"@OvalStrictly","sourceUrl":"https://x.com/OvalStrictly/status/2099689417241661534","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:meta-ads-creative-analysis","title":"Analyze a company's Meta ads by creative before interviewing","category":"Work","prompt":"I'm interviewing at [company]. Analyze all their active Meta ads, broken out by creative, and summarize their messaging strategy so I walk in prepared.","description":null,"story":"A Muse user was interviewing for a company and had Muse analyze all their active Meta ads, broken out by creative.","sourceHandle":"@stefkal_","sourceUrl":"https://x.com/stefkal_/status/2099688827900383361","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:car-tax-bill-appeal-check","title":"Check your car tax bill and pay it in 5 minutes","category":"Money","prompt":"Find my car tax bill on [county's website]. Check whether the appraised value is worth appealing; if it's fair, pay the bill. Do it all in one go and show me the receipt.","description":null,"story":"A Muse user had Muse search their county website for their car bill, check if it was worth appealing the appraised value, then complete the payment after determining the appraised value was fair. All within 5 minutes.","sourceHandle":"@AgenticAITrade","sourceUrl":"https://x.com/AgenticAITrade/status/2099688673230893148","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:missing-k1-tax-chase","title":"Track down 83 missing K-1s for your accountant","category":"Money","prompt":"Find all my missing K-1s [tax year] across my accounts and emails — chase down every one, compile them, and send the package to my accountant at [email]. Report what's still missing.","description":null,"story":"A Muse user's Muse found 83 missing K-1s, chased down the rest, and sent everything to their accountant — plus a lot more complex stuff on top. This is the kind of AI that actually gets things done.","sourceHandle":"@vishalsingh2972","sourceUrl":"https://x.com/vishalsingh2972/status/2099687214301184234","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:birthday-cake-order-delivery","title":"Order the best birthday cake in town, delivered on time","category":"Food","prompt":"Order the best birthday cake in [town] for [sister's] birthday on [date]: [flavor/size preferences]. Have it delivered to [address] right on time and confirm.","description":null,"story":"A Muse user had Muse order the best birthday cake in town for their sister, delivered right on time. It was so seamless, and the selection was amazing.","sourceHandle":"@thekarthk","sourceUrl":"https://x.com/thekarthk/status/2099686319949861358","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:concert-tickets-link-purchase","title":"Buy concert tickets in minutes with Link","category":"Fun","prompt":"Buy [N] tickets for [concert, date] — about $[400] — using Link. Pick [good seats/section] and confirm the purchase with me.","description":null,"story":"A Muse user purchased $400 worth of concert tickets in a matter of minutes using Link — something they'd been delaying for multiple weeks.","sourceHandle":"@ujjalcal","sourceUrl":"https://x.com/ujjalcal/status/2099686221765038529","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:best-buy-price-match-refund","title":"Monitor a price match until the refund lands","category":"Money","prompt":"Monitor my Best Buy price-match claim for [item, order #]. Keep checking until the refund is issued and notify me the moment it lands.","description":null,"story":"A Muse user had Muse monitor their Best Buy price match — then woke up one morning to a refund.","sourceHandle":"@raizyseidenfeld","sourceUrl":"https://x.com/raizyseidenfeld/status/2099685766720847941","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:property-tax-bill-photo-payment","title":"Pay a property tax bill from a photo","category":"Money","prompt":"Here's a photo of my property tax bill [attach]. Pay it. Then connect my property management and mortgage accounts and set up profit-and-loss tracking, plus a workout and food log.","description":null,"story":"A Muse user snapped a pic of their property tax bill and Muse paid it. They also has it running profit-and-loss calculations from their property management and mortgage accounts, logging workouts and food, and taking care of all their emails.","sourceHandle":"@AINewsPulse","sourceUrl":"https://x.com/AINewsPulse/status/2099684965713625544","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:humanbrain-tribe-v2-build","title":"Ship a month of work in 3 days","category":"Work","prompt":"Build [my app, e.g. humanbrain on tribe v2]: [describe what it does]. Ask me clarifying questions first, then build the whole thing — and double-check my [preprocessing code] for bugs as you go.","description":null,"story":"A Muse user built humanbrain on tribe v2 this week — Muse Spark 1.3 wrote basically all of it. It asked two clarifying questions, then shipped in 3 days what they'd budgeted a month for. It even caught a bug in their own preprocessing before they did.","sourceHandle":"@humanbraindev","sourceUrl":"https://x.com/humanbraindev/status/2099684700881346855","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:amex-travel-e2e-booking","title":"Book flights end to end with seats and TSA numbers","category":"Travel","prompt":"Book flights for [me and my wife] on Amex Travel: [route, dates]. Handle seat selection, add our loyalty numbers [X] and TSA PreCheck numbers [Y], and complete the booking end to end.","description":"Did ~95% of a US passport renewal online with smooth browser handoff, then booked couple flights e2e on Amex Travel with seats and TSA numbers.","story":"A Muse user asked Muse to renew their US passport online — it did 95% of the work, with a smooth browser handoff when they needed to enter their SSN and upload a picture. It also booked flight tickets for them and their wife end to end on Amex Travel, with seat selection, loyalty and TSA numbers. First time an agent completed such a task all on its own.","sourceHandle":"@cy_zanfar","sourceUrl":"https://x.com/cy_zanfar/status/2099684668391969009","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:anniversary-trip-planning","title":"Plan an anniversary trip down to the quietest cabin","category":"Travel","prompt":"Plan our anniversary trip: [dates, budget, vibe]. Find the quietest cabin or hotel and the cheapest flights, and lay out the full itinerary.","description":null,"story":"A Muse user had Muse plan their entire anniversary trip — down to the quietest cabin and cheapest flights. Felt like having a 24/7 travel agent that actually cares.","sourceHandle":"@examaddaorg","sourceUrl":"https://x.com/examaddaorg/status/2099684425932165383","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:alphabet-learning-app-toddler","title":"Build an alphabet app for your toddler","category":"Family","prompt":"Build me a little web app that teaches my [3-year-old] the alphabet, with visuals and touch drawing. Keep it simple and kid-friendly.","description":null,"story":"A Muse user used Muse to build a little web app to teach their 3-year-old the alphabet, with visuals and touch drawing.","sourceHandle":"@mattsilv","sourceUrl":"https://x.com/mattsilv/status/2099684281505230977","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:mom-daily-muse-home-projects","title":"Get your 77-year-old mom using Muse daily","category":"Family","prompt":"Help my [77-year-old mom] use you daily: get quotes for home projects like [list], and help restyle their wardrobe. Keep everything simple and patient.","description":null,"story":"A Muse user's 77-year-old mom uses Muse daily and loves it — they's getting quotes for home projects around the house and even having it restyle their wardrobe.","sourceHandle":"@petehalvorsen","sourceUrl":"https://x.com/petehalvorsen/status/2099684085593723205","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:haircut-insurance-battery-warranty","title":"Book a haircut, compare insurance, claim a warranty","category":"Admin","prompt":"Book me a haircut at [barber, date/time], find me insurance quotes for [car/home], and file a warranty claim for my [device battery]. Confirm each with me.","description":null,"story":"A Muse user's Muse booked their haircut, found them insurance quotes, and got them a replacement battery through warranty.","sourceHandle":"@danocruz1","sourceUrl":"https://x.com/danocruz1/status/2099683955213795539","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:debate-settler-citations","title":"Settle a debate with citations","category":"Fun","prompt":"Settle this debate for us: [the debate]. Research it properly and give your verdict with citations.","description":null,"story":"A Muse user asked their Muse to settle a debate with their girlfriend. It sided with their — with citations. Now they pays $20 a month to lose arguments faster and more accurately.","sourceHandle":"@PipeBladex","sourceUrl":"https://x.com/PipeBladex/status/2099683921533284798","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:custom-podcast-goal-tracker","title":"Build a podcast, task tracker, and goal system","category":"Fun","prompt":"Set up for me: a custom podcast about [topics], a task tracker with reminders for [tasks], and tracking for my long-term goal of [goal].","description":null,"story":"A Muse user's Muse runs a custom podcast they likes to listen to, plus a task tracker and reminders system — and tracks their long-term goals too.","sourceHandle":"@devang_shah","sourceUrl":"https://x.com/devang_shah/status/2099683886502748383","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:walmart-order-dispensary-search","title":"Run your Walmart+ order and hunt dispensary deals","category":"Shopping","prompt":"Place my Walmart+ order [list items], grab me Cava, and search every local dispensary for the best value on [product]. Confirm before you check out.","description":null,"story":"A Muse user has Muse run their Walmart+ order, grab them Cava, and search every local dispensary for the best value.","sourceHandle":"@CarpeDiemMoose","sourceUrl":"https://x.com/CarpeDiemMoose/status/2099683321147957484","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:kid-fortnite-sprites-vbucks","title":"Help your 8-year-old make Fortnite sprites","category":"Family","prompt":"Help my [8-year-old, supervised] develop sprites for Fortnite: [describe sprite idea]. Keep it age-appropriate and fun.","description":null,"story":"A Muse user's 8-year-old has been using Muse (supervised) to develop sprites for Fortnite — to support their V-Buck habit.","sourceHandle":"@sierracatalina","sourceUrl":"https://x.com/sierracatalina/status/2099683268018803170","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:car-insurance-1800-saved","title":"Save $1,800 a year on car insurance","category":"Money","prompt":"Find me cheaper car insurance: my current policy is [details, $X/6 months]. Shop quotes with identical coverage and switch me to the best one.","description":null,"story":"A Muse user's Muse found car insurance at $900 per 6 months — $1,800 saved on the full year.","sourceHandle":"@nickysac1","sourceUrl":"https://x.com/nickysac1/status/2099683250226467152","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:physical-letter-mailing-service","title":"Mail a physical letter to someone offline","category":"Admin","prompt":"I need to mail a physical letter to [person] who doesn't have a computer. Find a letter-mailing service, draft the letter with [instructions on returning the device], and send it to [address].","description":"Found a letter-mailing service and sent a physical letter with device-return instructions to someone without a computer.","story":"A Muse user needed to mail a physical letter to someone without a computer. Their Muse found a letter-mailing service and sent a letter with instructions on how to return a device.","sourceHandle":"@JoeKambeitz","sourceUrl":"https://x.com/JoeKambeitz/status/2099683192869625892","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:muse-chatgpt-ticket-team","title":"Team Muse up with ChatGPT on shared tickets","category":"Integrations","prompt":"Work alongside my ChatGPT on [project]: stay in sync, create and claim tickets for [tasks], and share the workload. Run overnight and report what you accomplished in the morning.","description":null,"story":"A Muse user has their Muse set up to work with their ChatGPT — all on the same page, creating and claiming tickets, sharing the workload. Their Muse ran all night and they woke up to a huge workload accomplished.","sourceHandle":"@MekoStarchild","sourceUrl":"https://x.com/MekoStarchild/status/2099682990293160410","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:anniversary-cruise-full-plan","title":"Plan a 10-year anniversary cruise in insane detail","category":"Travel","prompt":"Plan our 10-year anniversary cruise: compare the best cruise options, pick the quietest rooms, add flights, a hotel the night before, and the best excursions. Price it all out and get everything ready to book.","description":null,"story":"A Muse user's Muse shopped the best 10-year anniversary cruise options, picked the best rooms based on noise, looked at flights, a hotel the day before the cruise, and all the best excursions — priced it out and got everything ready to book. Insane details.","sourceHandle":"@Byakko_Ash","sourceUrl":"https://x.com/Byakko_Ash/status/2099682701640917046","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:insurance-unclaimed-property-cleanup","title":"Save $2,500 on insurance and claim $900 in unclaimed property","category":"Money","prompt":"Do a full money cleanup: find me cheaper car insurance (target: save $[2,500]), cancel subscriptions I don't use, scrub a year of my email, and check for unclaimed property in my name. Then research and book hotels for [two flight schedules] with late checkout, and book my flights handling [complex bag needs].","description":null,"story":"A Muse user's Muse saved them over $2,500 on car insurance, cancelled countless subscriptions, did a full scrub of one year's email with no loose ends, found over $900 in unclaimed property, researched and booked hotels across two flight schedules with late checkout requests, and booked flights with complex bag needs.","sourceHandle":"@JoeKambeitz","sourceUrl":"https://x.com/JoeKambeitz/status/2099682569159876733","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:savings-challenge-200-beaten","title":"Beat a $200 savings challenge in 20 minutes","category":"Money","prompt":"Save me money today: find $[800] in savings across my bills, subscriptions, and spending. Then here's a challenge: find another $[200] in savings by [end of September].","description":null,"story":"A Muse user saved about $800 with Muse on the first day. They gave it a $200 challenge for end of September — and it beat it in about 20 minutes.","sourceHandle":"@harris_p10","sourceUrl":"https://x.com/harris_p10/status/2099682335616540686","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:verizon-bill-516-to-386","title":"Negotiate your Verizon bill from $516 to $386","category":"Money","prompt":"Log in to my Verizon account and take a look at my bill (currently $[516]/month). Chat with customer support and negotiate it down — I'm paying too much. Don't accept anything without my yes.","description":null,"story":"A Muse user had Muse chat live with Verizon customer support — their bill went from $516 a month to $386. They'd only asked it to log in and take a look at their bill; then they complained they were paying too much, and with a simple yes they's saving hundreds every month.","sourceHandle":"@williamgeronco","sourceUrl":"https://x.com/williamgeronco/status/2099682302875844911","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:bank-for-daughter","title":"Build a bank for my daughter","category":"Family","prompt":"Set up a virtual family bank for my kid: they deposit their earned cash, and I pay 3% weekly interest credited daily. Track the balance and show them the compound growth.","description":"Built a kids bank for a daughter: cash deposits, 3% weekly interest, saving missions, and a passbook trail.","story":"A Muse user asked Muse to build a bank for their daughter: they hands over their well-earned cash and it earns 3% a week, credited daily.","sourceHandle":"@armand_ruiz","sourceUrl":"https://x.com/armand_ruiz/status/2099341427545395391","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:doctor-office-admin","title":"Handle doctor's office admin end to end","category":"Admin","prompt":"Handle this medical admin task end to end: email the doctor's office, leave a voicemail if needed, fill out the new-patient paperwork, and get the confirmation. Report back when it's done.","description":"Emails the office, leaves a voicemail, fills new-patient paperwork, gets confirmation, and adds it to the calendar.","story":"A Muse user had Muse email the doctor's office, leave a voicemail, fill the new-patient paperwork, and get the confirmation — the admin they'd have postponed for a month.","sourceHandle":"@armand_ruiz","sourceUrl":"https://x.com/armand_ruiz/status/2099649043806781827","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:ikea-return-handled","title":"Handle an entire IKEA return","category":"Shopping","prompt":"Handle an IKEA return for me end to end: contact customer service, arrange the return, and schedule the pickup. Confirm each step as it completes.","description":"Handles customer service and scheduling so the pickup shows up without babysitting.","story":"A Muse user had Muse handle a full IKEA return — customer service, scheduling, and the pickup.","sourceHandle":"@armand_ruiz","sourceUrl":"https://x.com/armand_ruiz/status/2099600973694197878","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:iphone-tradeoff-infographic","title":"Build an iPhone trade-off infographic","category":"Shopping","prompt":"Research the trade-offs between [product A] and [product B] and make me a clear infographic comparing them side by side.","description":"Built an infographic comparing iPhone Duo trade-offs vs the 18 Pro.","story":"A Muse user had their Muse agent make an infographic comparing the iPhone Duo trade-offs vs. the iPhone 18 Pro.","sourceHandle":"@borrowedfire","sourceUrl":"https://x.com/borrowedfire/status/2097982615181562274","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:resurface-forgotten-money","title":"Resurface forgotten money","category":"Money","prompt":"Dig through my email and accounts and resurface any old, forgotten money or info — unclaimed refunds, old payouts, things I bought and forgot. Report everything you find.","description":"Agent Peggy resurfaced an 8-year-old Lorde ticket resale profit the user had forgotten.","story":"A Muse user's agent Peggy resurfaced old, forgotten info and money — within a minute it told their they made a profit 8 years ago on Lorde concert tickets from high school, which they'd forgotten entirely.","sourceHandle":"@claireszhou","sourceUrl":"https://x.com/claireszhou/status/2097952709592936556","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:replace-incogni-free","title":"Replace a data-broker removal service for free","category":"Admin","prompt":"Find every data broker that has my personal info and email each of them a deletion request on my behalf. Do it efficiently — keep it within my free usage.","description":"Emailed data brokers to remove them from lists, replacing a paid Incogni plan with a small slice of free weekly usage.","story":"A Muse user had Muse replace Incogni for free — it emailed all the data brokers using 2% of their free weekly usage.","sourceHandle":"@ItsCuthulhu","sourceUrl":"https://x.com/ItsCuthulhu/status/2098443112527839287","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:fix-double-charged-tickets","title":"Fix double-charged concert tickets via support","category":"Events","prompt":"I was double-charged for [event] tickets. Open a support chat with the vendor, explain the duplicate charge, and get it refunded. Don't stop until it's resolved.","description":"Got a double-charge for concert tickets fixed with support chat in about 30 minutes.","story":"A Muse user was double-charged for concert tickets months ago; their Muse agent fixed it all through support chat.","sourceHandle":"@wailord","sourceUrl":"https://x.com/wailord/status/2098463569436373416","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:run-marketplace-listings","title":"Post and run Facebook Marketplace listings","category":"Shopping","prompt":"Create and manage a Facebook Marketplace listing for [item]: write the description, set a fair price, post it, and handle buyer messages. Keep me posted on offers.","description":"Posts and runs Facebook Marketplace listings from the Muse app.","story":"A Muse user found the Muse app can post and run Facebook Marketplace listings on their behalf.","sourceHandle":"@JasonRink","sourceUrl":"https://x.com/JasonRink/status/2098559021108109641","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:find-phantom-adobe-sub","title":"Find a phantom subscription via bank transactions","category":"Money","prompt":"Go through my bank transactions and flag every recurring subscription. Cross-check the ones I don't recognize with the actual service — tell me which ones are phantom charges.","description":null,"story":"A Muse user connected Muse to their Chase account via Plaid; it found a recurring Adobe subscription they didn't recognize — and Adobe showed no paid subscription on their account.","sourceHandle":"@Trace_Cohen","sourceUrl":"https://x.com/Trace_Cohen/status/2099825684134719834","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:run-shopify-stores","title":"Run Shopify stores and coordinate employees","category":"Work","prompt":"Run my Shopify store day to day: monitor orders, email and coordinate with my employees, and flag anything that needs my decision. Give me a daily summary.","description":"Runs Shopify stores, handles email, coordinates with employees, and manages Asana.","story":"A Muse user has Muse running their Shopify stores — emailing and coordinating with their employees.","sourceHandle":"@williamgeronco","sourceUrl":"https://x.com/williamgeronco/status/2099816178071835132","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:apple-store-stock-watch","title":"Watch the Apple Store for stock availability","category":"Shopping","prompt":"Watch the Apple Store online for [product] availability. Check regularly and notify me the moment it's in stock.","description":"Monitored the Apple Store online and notified when an iPhone became available to pre-order.","story":"A Muse user has Muse checking the Apple Store online and notifying them when an iPhone becomes available.","sourceHandle":"@metinsk","sourceUrl":"https://x.com/metinsk/status/2099832469503480259","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:who-unfollows-back","title":"Find who doesn't follow you back","category":"Social","prompt":"Scan my followers and tell me who isn't following me back. Give me the full list.","description":"Scanned over 15k followers and listed who isn’t following back.","story":"A Muse user asked Muse who isn't following them back; it scanned over 15k followers and returned the list.","sourceHandle":"@MarcoHergi","sourceUrl":"https://x.com/MarcoHergi/status/2099769844950274413","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:replace-openclaw-news","title":"Replace OpenClaw with daily tech news briefings","category":"Productivity","prompt":"Send me a daily briefing of the most important tech news from my newsletters. Keep it short, link the originals, and run it every morning.","description":"Replaced an OpenClaw setup by sending updates from multiple tech newsletters and channels.","story":"A Muse user replaced their OpenClaw setup with Muse — it now sends their updated tech news from different newsletters.","sourceHandle":"@laura_llin","sourceUrl":"https://x.com/laura_llin/status/2099759191661617581","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:iphone-17e-deals","title":"Browse for the best iPhone deals","category":"Shopping","prompt":"Browse for the best current deals on an iPhone 17e. Compare prices across stores and tell me the best option.","description":"Browsed best iPhone 17e promos while the user worked, then showed a chat widget of deals and carrier picks.","story":"A Muse user asked Muse to browse for the best deals on an iPhone 17e.","sourceHandle":"@Dis0ng","sourceUrl":"https://x.com/Dis0ng/status/2099748613005959201","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:how-much-on-limes","title":"Audit spending on one absurd category","category":"Money","prompt":"Go through my transactions and tell me exactly how much I've spent on [category]. Show me the total and the trend.","description":"Answered how much the user has spent on Lime — not good.","story":"A Muse user asked Muse how much they's spent on limes — and didn't love the answer.","sourceHandle":"@JoveW","sourceUrl":"https://x.com/JoveW/status/2099720973058781408","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:find-hondas-marketplace","title":"Find used Hondas on Facebook Marketplace","category":"Shopping","prompt":"Find me [car model, years] listings on Facebook Marketplace. Filter by reasonable price and mileage, and send me the best matches.","description":"Found 2010–2015 Hondas on Facebook Marketplace as a test search.","story":"A Muse user told Muse to find Hondas (2010–2015) on Facebook Marketplace as a test — and it worked well.","sourceHandle":"@bilbooo__","sourceUrl":"https://x.com/bilbooo__/status/2099710128261890141","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:cancel-poke-sub","title":"Find subscriptions to cancel","category":"Money","prompt":"Find me ways to save money in my recurring spending. Flag subscriptions I barely use and tell me exactly what I'd save by cancelling each.","description":null,"story":"A Muse user asked Muse for ways to save money; it singled out their $5/mo Poke subscription to cancel.","sourceHandle":"@dpfebo","sourceUrl":"https://x.com/dpfebo/status/2099699345801040112","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:find-me-a-cpa","title":"Find a CPA and handle the onboarding","category":"Admin","prompt":"Find me a good CPA for [my situation], contact them, handle the back-and-forth, and get me locked in. Report the final choice and terms.","description":"Found a CPA, handled the communication, and locked in next year’s appointment.","story":"A Muse user had Muse find them a CPA, handle all the communication, and lock them in for next year.","sourceHandle":"@erfahrung","sourceUrl":"https://x.com/erfahrung/status/2099692820592538045","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:beltzner-lloyd-daily-briefing","title":"\"Lloyd\": daily briefing agent that keeps The user's schedule, planned a Japan family trip, cut power bills, and negotiated a car purchase","category":"Productivity","prompt":"Act as my personal assistant \"Lloyd\". Every morning give me a daily briefing: weather, my calendar, and pending tasks. Also help me plan a family vacation to Japan, find ways to shift my power usage to save money, and coordinate a car purchase — negotiating with dealers over email. Ask me for approval before any spend or commitment.","description":null,"story":"A Muse user (Threads) has run a personal Muse agent they calls \"Lloyd\" for a few months. Day to day it keeps on top of their schedule, and it has also helped them plan a family vacation in Japan, shift their power usage to save money, and coordinated buying a car — negotiating with dealers via email.","sourceHandle":"@beltzner (Threads)","sourceUrl":"https://www.threads.com/@beltzner/post/DdCbwcpgajl","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:nina-rome-girls-trip","title":"Friends' trip to Rome planned end-to-end by \"Jack\"","category":"Travel","prompt":"Plan our friends' trip. Message my Girls Chat group to tally everyone's votes on destinations, then research flight prices, pull recommendations from accounts I follow, and build a day-by-day itinerary for the winning destination that respects my gluten and dairy restrictions.","description":null,"story":"The user's Muse agent \"Jack\" planned their friends' trip: it messaged their Girls Chat group, tallied votes (Rome beat Greece, Bahamas and Toledo), curated Rome recommendations from accounts they follows, tracked flight prices, and generated an October 21–30, 2026 itinerary tailored to their gluten/dairy sensitivity. (Meta Partner launch video.)","sourceHandle":"@nina (Instagram)","sourceUrl":"https://www.instagram.com/reel/DdCzNVROtal/","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:cole-bennett-date-night-roses","title":"Date-night restaurant reservation and $238 roses order via \"Milo\"","category":"Food","prompt":"Check my calendar for tonight, then book a date-night dinner reservation for two at an Italian restaurant near my 4–6pm meeting, and order a bouquet of white roses for same-evening delivery. Confirm both with me before you pay.","description":null,"story":"The user's Muse agent \"Milo\" gave them a daily summary, recommended Savoca & Sons from their partner's saved Italian reels, confirmed a 7:00 PM OpenTable reservation for two, then ordered $238 white roses from Moon's Flower Shop for 6 PM delivery. (Meta launch creator video.)","sourceHandle":"@colebennett (Instagram)","sourceUrl":"https://www.instagram.com/reel/DdCbrIQvUD6/","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:rubens-rube-content-calendar","title":"Content calendar, invoice reconciliation and Top of the Rock tickets via \"Rube\"","category":"Work","prompt":"Build my content calendar for the next month from my social accounts, reconcile my outstanding invoices, book two sunset tickets to the Top of the Rock for my NYC trip, and organize all my saved Instagram locations into an interactive map grouped by destination.","description":null,"story":"Travel photographer The user's agent \"Rube\" built their content calendar from Instagram/Threads/LinkedIn, reconciled invoices, booked two Top of the Rock sunset tickets in NYC via the agent's browser, and organized 308 saved Instagram locations into an interactive destination map. (Sponsored Meta Partner video.)","sourceHandle":"@ericrubens (Instagram)","sourceUrl":"https://www.instagram.com/reel/DdCfiv0z_tB/","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:ashley-graham-marketplace-bikes","title":"Kids' bikes bought on Facebook Marketplace with price negotiation by \"Lux\"","category":"Family","prompt":"Scan my calendar and email for conflicts between my Fashion Week fittings and the twins' school drop-offs, draft reschedule emails for approval, then find three kids' bikes on Facebook Marketplace and negotiate the price with the sellers before I approve the purchase.","description":null,"story":"The user's Muse agent \"Lux\" flagged a Fashion Week fitting conflict with their twins' drop-off and drafted a reschedule email to their manager, then found three kids' bikes on Facebook Marketplace, negotiated price with sellers, and later booked a date night at Crazy Pizza via OpenTable. (Meta Partner launch video.)","sourceHandle":"@ashleygraham (Instagram)","sourceUrl":"https://www.instagram.com/reel/DdCgNANzPM-/","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:ally-love-mango-family-day","title":"Calendar organizing, toddler activities and date-night booking by \"Mango\"","category":"Family","prompt":"Look at my calendar and block family time and me-time for the week, find toddler-friendly activities in NYC, and book a date-night Italian restaurant reservation based on places I've liked on Instagram.","description":null,"story":"Peloton instructor The user's agent \"Mango\" organized their calendar into \"day in motion\" views, found toddler activities in NYC, drafted invites, and booked a date-night Italian restaurant reservation picked from their Instagram likes plus a Peloton upper-body workout. (Meta Partner launch video.)","sourceHandle":"@allymisslove (Instagram)","sourceUrl":"https://www.instagram.com/reel/DdMQaSXxmkY/","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:jenna-ricciardi-glimmer-hawaii","title":"Restaurant for nine, subscription cancelled, Hawaii trip planned by \"Glimmer\"","category":"Travel","prompt":"Book a restaurant for nine people at Laila in Bay Ridge, find any subscriptions I'm still paying for and cancel the unused ones, and plan our Hawaii trip across Oahu, Maui and Kauai with flights, luau options, costs and a detailed itinerary.","description":null,"story":"The user's agent \"Glimmer\" booked a restaurant reservation for nine at Laila in Bay Ridge, cancelled a forgotten subscription, DMed a friend, and planned a multi-island Hawaii trip (Oahu, Maui, Kauai) with luau options, flight logistics, costs and a detailed itinerary. (Disclosed #MetaPartner video.)","sourceHandle":"@thejennaricciardi (Instagram)","sourceUrl":"https://www.instagram.com/reel/DdCfEahM4m3/","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:marshall-haas-nova-bills","title":"$35 parking bill and $682 lawyer invoice paid from photos by \"Nova\"","category":"Money","prompt":"Pay my bills from photos I send you — start with this overdue $35 parking bill. Watch for my $682 lawyer invoice, summarize it and get my approval before paying. When I need flowers, find the address in my email and order from the florist I've used before.","description":null,"story":"Entrepreneur The user's agent \"Nova\" paid a $35 overdue parking bill from a photo of it, got their approval to pay a $682 lawyer invoice, found a recipient's address in their email to order flowers from their previously used florist, and booked dinner reservations and movie tickets. (Labeled Meta Partner post.)","sourceHandle":"@marshallhaas (Instagram)","sourceUrl":"https://www.instagram.com/reel/DdCeBaOv3p0/","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:gannon-meyer-wedding-oscar","title":"Wedding prep managed by \"Oscar\" ahead of 40 sales calls","category":"Events","prompt":"Help me manage everything ahead of my wedding in a few weeks. Remind me to email my photographer about arrival time, keep my schedule updated when things change, and log my meals so I can track macros and weight loss.","description":null,"story":"The user's agent \"Oscar\" helped manage life ahead of their wedding while they ran 40 sales calls: it reminded them to email their photographer about Perona Farms arrival time, automatically updated their schedule after a pickleball ankle injury, and logged meals to track macros and weight-loss progress for the wedding.","sourceHandle":"@gannon.meyer (Instagram)","sourceUrl":"https://www.instagram.com/reel/DdCe2C2MSiX/","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:lexie-atlas-florida-bucket-list","title":"6,000 saved posts became a Florida Bucket List with bookings by \"Atlas\"","category":"Travel","prompt":"Turn my thousands of saved Instagram posts into an organized bucket list mapped across Florida, then scan my calendar and proactively suggest something from the list for my anniversary weekend — book it and a dinner reservation when I approve.","description":null,"story":"The user's agent \"Atlas\" processed over 6,000 of their saved Instagram posts into a mapped, categorized Florida Bucket List, then proactively suggested a beach horseback ride from their list for their anniversary weekend, booked it, and booked dinner for two at Japón at The Setai via OpenTable.","sourceHandle":"Lexie Limitless (Facebook)","sourceUrl":"https://www.facebook.com/reel/953025774501749/","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:rpn-naples-food-itinerary","title":"Weekend food itinerary in Naples built from wife's saved posts","category":"Food","prompt":"Build a weekend food itinerary in Naples, Florida using my wife's saved Instagram posts and reels, make reservations for us, and sign me up for the local 10K race after checking my recent training and sleep data.","description":null,"story":"Roberto P. The user's Muse agent built a weekend food itinerary in Naples, Florida based on their wife's hundreds of saved Instagram posts and reels, made reservations, added school supplies to a shopping cart, and signed them up for a local 10K race after tracking their training and sleep data.","sourceHandle":"@rpn (Instagram)","sourceUrl":"https://www.instagram.com/reel/DdCZOUjpZbR/","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:serhant-pumpkin-tulips-dinner","title":"$59.99 tulips, HIIT tracker and dinner for five via \"Pumpkin\"","category":"Family","prompt":"Order flowers for my wife returning from Greece, build me a workout tracker that logs my sets and recommends next-session weights, and book a dinner reservation for five downtown after checking my calendar.","description":null,"story":"The user's agent \"Pumpkin\" ordered $59.99 \"Tremendous Tulips\" for their wife Emilia returning from Greece, built a HIIT Lift Tracker that logs sets and recommends next-session weights (adjusted for a hotel gym during their Denver trip), and booked a dinner reservation for five at Altesi Downtown via OpenTable. (Meta launch video.)","sourceHandle":"@ryanserhant (Instagram)","sourceUrl":"https://www.instagram.com/reel/DdCcUuTqOfp/","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:cheapest-round-trip-146-searches","title":"Cheapest round trip found across 146 flight searches","category":"Travel","prompt":"Find me the cheapest round trip: run price searches (cash AND award/points) from [origin] to these [N] cities and back across [dates/flexible schedule], then give me the optimized lowest-cost itinerary.","description":"Runs 146 cash and award searches across Spain and Italy dates to pick the lowest round-trip.","story":"\".@Muse is incredible! Ran 146 flight price searches (cash and award flights w/ points) from SFO to 11 cities in Spain and departing from 10 Italy cities to SFO across 7 dates (I had a flexible travel schedule) to give me an optimized lowest round-trip flight cost!-\"","sourceHandle":"@mehtadeep (X, 2026-09-14)","sourceUrl":"https://x.com/mehtadeep/status/2099498596789850192","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:book-ny-trip-end-to-end","title":"Book a New York trip end to end","category":"Travel","prompt":"Book my trip to [city] for [dates]: flights plus hotel, best-value options. Use my connected payment method and confirm before you charge.","description":"Books a New York trip end-to-end, including Link for payments.","story":"\"been using @Muse and I gotta say this has been a great experience i used it to book a new york trip the @link connection was so cool & intuitive it also felt super easy to use, so a 10/10 for a personal agent will def be using it more\"","sourceHandle":"@ryanvogel (X, 2026-09-14)","sourceUrl":"https://x.com/ryanvogel/status/2099646623198441683","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:hardware-procurement-14-suppliers","title":"Procure hardware components across 14 suppliers","category":"Work","prompt":"Automate my hardware procurement: research and order these components [list] across suppliers and online storefronts, cheapest reliable options. Ask me to verify each transaction before purchase, and work in the background — report what's ordered and what's pending.","description":"Researches and procures prototype components from many different suppliers.","story":"\"I'm working on a hardware prototype for something that required me to source a LOT of components from different suppliers. I decided to take @Meta's Muse agent for a spin and automate the procurement process. It seamlessly researched and procured line items across 14 different suppliers / online storefronts. Got popups to verify each transaction before purchases as a sanity check. Easily saved me hours of time and it worked in the background while I was hanging out with my kids over the weekend. I've been deep in the agent space for a long time but needless to say I'm impressed by the maturity of Meta's product. They have some cool partnerships links with @plaid and @stripe as well. Worth checking out if you haven't already.\"","sourceHandle":"@justinbojarski (X, 2026-09-14)","sourceUrl":"https://x.com/justinbojarski/status/2099630878993387556","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:voice-call-contractors-estimates","title":"Voice calling: contractors called, emailed with photos","category":"Home","prompt":"Call contractors about [job], send a follow-up email with these photos [attach], and get me written estimates without me being present. Report each contractor's quote and timeline.","description":"Calls contractors, then emails photos for estimates without needing to be present.","story":"\"This feels significant. I was added to a @muse beta with voice calling. It called contractors just now, sent an email with photos to follow up, and I don't even need to be present for the estimate. Those who get good at agent to agent are going to absolutely clean up.\"","sourceHandle":"@ZachSB (X, 2026-09-14)","sourceUrl":"https://x.com/ZachSB/status/2099611141936742765","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:call-business-info-in-chat","title":"Call any business for info, report back in chat","category":"Admin","prompt":"Call [business] and get me [information needed], then report it back here in chat.","description":"Uses Vapi + Twilio so Muse can call a business and bring answers back into chat.","story":"\"Added @vapiaibusiness + @twilio to @Muse getting incredible results. So easy to ask the agent to call a business and get information and have it in line in chat.\"","sourceHandle":"@Anurag_Gup (X, 2026-09-14)","sourceUrl":"https://x.com/Anurag_Gup/status/2099626589109821624","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:automate-instagram-profile-posts","title":"Automate an Instagram profile with scheduled posts","category":"Work","prompt":"Automate my Instagram: generate and schedule posts for my professional profile — context, description, audio, editing, hashtags, and a reel. Show me the schedule before anything goes live.","description":"Automates a professional Instagram with post context, captions, audio, editing, hashtags, and scheduled reels.","story":"\"Meta @Muse automated my Instagram profile using simple prompts and scheduled posts for my professional profile. No words just zip out Post context Description Audio Editing Hastags Auto generated reel .\"","sourceHandle":"@manishini9 (X, 2026-09-14)","sourceUrl":"https://x.com/manishini9/status/2099603604839526715","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:anniversary-dinner-reservation","title":"Book an anniversary dinner reservation","category":"Food","prompt":"Book an anniversary dinner reservation: [restaurant/area], [date], [party size]. Confirm the reservation details with me when it's done.","description":"Books an anniversary dinner reservation in the browser.","story":"\"Today in personal AI agent land: Hermes found my contacts Rx and reordered some, plus drafted our weekly family schedule Instinct scoured the internet for a replacement showerhead and ordered it Muse booked an anniversary dinner res (in thread browser control was pretty cool)\"","sourceHandle":"@cbruce_eth (X, 2026-09-14)","sourceUrl":"https://x.com/cbruce_eth/status/2099592099213586869","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:dentist-reschedule-call","title":"Reschedule a dentist appointment by phone call","category":"Health","prompt":"Call my dentist office and reschedule my appointment to [preferred days/times]. Confirm the new time when it's set.","description":null,"story":"\"Muse just called my dentist office to reschedule an appointment. I may never make a phone call again as long as I live\"","sourceHandle":"@mwdavis84 (Threads, 2026-09-14)","sourceUrl":"https://www.threads.com/@mwdavis84/post/DdRNJm-kXTH","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:find-firms-email-outreach","title":"Find firms, vet them, email them on your behalf","category":"Work","prompt":"Find firms/agencies in [region] matching these requirements [a/b/c/d], pull their background and previous work, and email the qualifying candidates on my behalf. Show me the shortlist and sent emails.","description":null,"story":"\"one of the tasks i get muse to do it — find xx firms or agency in xx region based on my {a b c d} requirements, and get their background and their previous work. it found several candidates and emailed them all on my behalf. wild.\"","sourceHandle":"@ariapramesi (Threads, 2026-09-14)","sourceUrl":"https://www.threads.com/@ariapramesi/post/DdSBzngiZIK","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:pdf-schedule-family-calendar","title":"Parse a PDF rehearsal schedule into the family calendar","category":"Family","prompt":"My wife just forwarded me an email with a PDF schedule on it. Add all their rehearsals to our shared family Google Calendar. Make sure they land in the right calendar, not my personal one.","description":null,"story":"\"Thanks Muse! I used to use Gemini for this but it never added to the correct calendar. It would always place them in my personal Google Calendar.\" (screenshot: wife forwarded an email with a PDF rehearsal schedule — Muse parsed it and added every rehearsal to the shared family Google Calendar, the right calendar.)","sourceHandle":"@bgolub (Benjamin Golub, Threads, 2026-09-13)","sourceUrl":"https://www.threads.com/@bgolub/post/DdPJk2HGE2W","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:refund-call-refused-honest-fail","title":"Refused to demand a refund from customer service (honest fail)","category":"Admin","prompt":"Call [business] customer service at [published number] and demand a refund for [issue]. Use the receipts I sent. If you don't have phone-call access, stop and tell me — don't fake it.","description":null,"story":"\"Tried to get Muse to call Pastmaps customer service (AKA me) and demand a refund. Sent in some receipts with the published number. It refused. Lol. Claims my account doesn't have phone call tool access, sad. Boooooo.\"","sourceHandle":"@that.map.guy.craig (Craig Campbell, founder of Pastmaps, Threads, 2026-09-14)","sourceUrl":"https://www.threads.com/@that.map.guy.craig/post/DdSPuUpAcGM","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:amex-benefits-tracker-app","title":"Amex benefits tracker app + weekly offers checker","category":"Money","prompt":"Build me an Amex Benefits Tracker web app covering 100+ personal and business Platinum benefits. Then set up a standing weekly checker that signs in read-only to Amex, Citi, Capital One and Chase every Saturday morning and alerts me only to new, expiring, or high-value offers. Also: plan my [event trip, dates] — flights, car, hotels stacked with available credits — and run a daily 8am preview plus a morning briefing. Confirm each piece as it goes live.","description":null,"story":"After a few weeks using Muse, built a set of standing automations: a custom Amex Benefits Tracker web app organizing 100+ personal and business Platinum benefits; an automated weekly card-offers checker (read-only sign-in to Amex, Citi, Capital One, Chase every Saturday, alerts only for new/expiring/high-value offers); a fully AI-planned Bay Area trip for Meta Connect (Sep 22–27: flights, Turo Tesla Model 3, hotels stacked with a $300 Amex hotel credit, Google DeepMind 'Gemini Audio | At Night' event, developer itinerary); a daily 8am preview workflow; and a morning briefing system. Commenter tip thread added: \"Tell it to search unclaimed database for your name. It found me around $100.\"","sourceHandle":"@easytags (Yves Hughes, Threads, 2026-09-14)","sourceUrl":"https://www.threads.com/@easytags/post/DdRePFqkc3c","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:audit-ai-subscriptions-gmail","title":"Audit AI subscriptions from Gmail receipts","category":"Money","prompt":"Connect to my Gmail and audit all my subscriptions: search receipts, categorize flat-rate vs usage-based spend, and total my monthly cost. Flag anything that looks duplicative or unused.","description":null,"story":"Connected Muse to their Gmail and had it audit their AI tool subscriptions by searching email receipts — returned a detailed list of flat-rate subscriptions (Midjourney, Leonardo, HeyGen, ElevenLabs, Granola, Make, VibeCode, Anthropic API, etc.) with monthly costs plus usage-based spend, totaling hundreds per month.","sourceHandle":"@mr.eflow (Matt Wolfe, Instagram, 2026-09-14, 50K followers)","sourceUrl":"https://www.instagram.com/reel/DdSieU1uLBc/","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:buy-flight-seamless-checkout","title":"Buy a flight with seamless checkout","category":"Travel","prompt":"Buy my flight: [route/dates], best-value option. Use my connected payment method and confirm before you charge.","description":"Bought a flight through Muse in a seamless checkout.","story":"Bought a flight via Muse; calls checkout seamless.","sourceHandle":"@richddr (Richard Garcia, X, 2026-09-13)","sourceUrl":"https://x.com/richddr/status/2099335413823369536","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:flight-delay-200-back","title":"Flight delay handled over email, $200 back","category":"Travel","prompt":"My flight is delayed. Email the airline on my behalf, go back and forth as needed, and get me compensation. Report the final outcome.","description":"Handled a major flight delay with the airline over email and got $200 back.","story":"Muse handled a major flight delay, going back and forth with the airline via email; got $200 back.","sourceHandle":"@tiramisucrux (Crux, X, 2026-09-13)","sourceUrl":"https://x.com/tiramisucrux/status/2099316437945119008","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:car-insurance-603-saved","title":"Car insurance analysis saved $603/year","category":"Money","prompt":"Analyze my current car insurance policy and find me the same coverage cheaper. Switch me if the savings are worth it and confirm the new premium.","description":"Analyzed a car insurance policy and found about $603 a year in savings.","story":"Muse analyzed their car insurance policy and saved them $603/year.","sourceHandle":"@frankilus (Frank Jerome, verified, X, 2026-09-13)","sourceUrl":"https://x.com/frankilus/status/2099324268290899993","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:jeweler-call-ring-resize","title":"Schedule a jeweler call to resize wedding rings","category":"Admin","prompt":"Call [jeweler] tomorrow and arrange to have my and my wife's wedding rings resized. Confirm the appointment and any price they quote.","description":"Schedules a voice-agent call to a jeweler to resize wedding rings.","story":"Scheduled a Muse voice-agent (Brett/Hailey) call to a jeweler for tomorrow to resize their and their wife's wedding rings.","sourceHandle":"@Wiiintermute (Wintermute, verified, X, 2026-09-14; borderline — doubles as a question)","sourceUrl":"https://x.com/Wiiintermute/status/2099602038535401478","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:united-flight-1000-credit","title":"United flight tracked, $1,000 credit won","category":"Travel","prompt":"Track the price on my booked [United flight, details]. If it drops meaningfully, alert me; once I approve, go into my United account and get the difference as credit.","description":"Tracked a booked United flight for a drop, then chatted United and secured about $1,026 in credit.","story":"Their agent \"Milo\" tracked a booked United flight for a price drop, then went into their United account, chatted with United, and got them $1,000 in credit.","sourceHandle":"@Yairyup (Yair Savlevi, verified, X, 2026-09-10)","sourceUrl":"https://x.com/Yairyup/status/2098136696277627177","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:unclaimed-property-50-states","title":"Search every state's unclaimed property, file claims","category":"Money","prompt":"Search every state's unclaimed-property database for money owed to me under my name, file the claims, and also check for forgotten 401(k)s from past employers. Report each find.","description":"Searched every state’s unclaimed-property database, submitted claims, and found money in an old employer’s 401(k) from 1999.","story":"Had Muse search every state's unclaimed-property database; it located and submitted claims, and found money in an old employer's 401(k) from 1999.","sourceHandle":"@BobTroia (Bob Troia, verified, X, 2026-09-11)","sourceUrl":"https://x.com/BobTroia/status/2098409134739660906","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:buy-ram-newegg-link","title":"Buy RAM on Newegg via Link","category":"Shopping","prompt":"Buy [computer RAM] on Newegg using my connected payment method. While you're at it, check my setup and tell me anything I missed — like free slots.","description":"Set up Link, bought computer RAM on Newegg, and spotted two unused RAM slots.","story":"Muse set up Link and bought computer RAM on Newegg — and figured out they had two extra RAM slots they'd forgotten about.","sourceHandle":"@JoshExile82 (JH Trader, X, 2026-09-10)","sourceUrl":"https://x.com/JoshExile82/status/2098055944315801720","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:unclaimed-property-data-brokers","title":"File unclaimed property, opt out of data brokers","category":"Admin","prompt":"Find any unclaimed property under my name and file the paperwork; opt me out of all major data brokers; and add all my Amex offers. Report what you finished.","description":"Filed unclaimed-property paperwork for free $97, opted out of major data brokers, and added Amex offers — hundreds of clicks saved.","story":"Muse found unclaimed property and filed all the paperwork ($97 free), opted them out of all major data brokers, and added all their Amex offers — ~200 manual clicks saved.","sourceHandle":"@AaronSkrivan (Aaron Skrivan, verified, X, 2026-09-10)","sourceUrl":"https://x.com/AaronSkrivan/status/2098183632120840423","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:morning-email-triage-cancel","title":"Morning workflow: triage email, cancel subscriptions","category":"Work","prompt":"Take my multi-agent [Claude] workflow's master prompt and run it every morning on a schedule. Also triage my junk email daily (extract what I want, mark the rest read) and audit my subscriptions, cancelling the ones I don't use.","description":"Migrated multi-agent Claude workflows to Muse for daily morning runs, cleaned junk email, and cancelled found subscriptions.","story":"Migrated multi-agent Claude workflows to Muse running every morning at a fraction of the cost; it triages junk email daily and cancelled forgotten subscriptions.","sourceHandle":"@NewtonJonesIV (Newton Jones, verified, X, 2026-09-10)","sourceUrl":"https://x.com/NewtonJonesIV/status/2098022398721143207","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:ai-chief-of-staff","title":"AI chief of staff: inbox, alerts, subscriptions","category":"Admin","prompt":"Be my chief of staff: triage my inbox daily, watch [tennis ticket listings] for me, send me job alerts matching [criteria] for my kids, and cancel subscriptions I'm not using.","description":"Acts as a chief of staff: inbox triage, job alerts for kids, tennis ticket watch, and canceling forgotten subscriptions.","story":"\"Hired an AI chief of staff\": inbox triage, job alerts for the kids, tennis ticket watch, cancelling forgotten subscriptions.","sourceHandle":"@avasi01 (A.K.D., X, 2026-09-11)","sourceUrl":"https://x.com/avasi01/status/2098466243674026316","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:wife-picks-restaurant-booked","title":"Get wife to pick a restaurant, book it","category":"Food","prompt":"Ask my wife to pick a restaurant for [date/occasion] and book the reservation once they decides. Confirm the booking details.","description":"Asked their wife to pick a restaurant, then booked the reservation.","story":"Muse got their wife to pick a restaurant and booked the reservation.","sourceHandle":"@PremiumGoblin (John Kim, verified, X, 2026-09-11)","sourceUrl":"https://x.com/PremiumGoblin/status/2098431751874056432","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:overnight-flight-checkin","title":"Check into a flight overnight while you sleep","category":"Travel","prompt":"Check me into my flight [booking details] the moment check-in opens, even if it's the middle of the night. Confirm the boarding pass.","description":"Checked the user into their flight overnight while they slept.","story":"Muse checked them into their flight overnight at 4:15am while they slept.","sourceHandle":"@amirnurani (Amir Nurani, verified, X, 2026-09-10)","sourceUrl":"https://x.com/amirnurani/status/2097966228216172972","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:youtube-channel-audit","title":"Audit an entire YouTube channel end to end","category":"Work","prompt":"Audit my entire YouTube channel [link]: content performance, what's working, what to fix. Report the top findings.","description":"Audited an entire YouTube channel end to end.","story":"Had Muse audit their entire YouTube channel end to end.","sourceHandle":"@PharmDabbler (verified, X, 2026-09-11)","sourceUrl":"https://x.com/PharmDabbler/status/2098531820329472200","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:music-recommendations-learn","title":"New music recommendations that learn your taste","category":"Fun","prompt":"Connect my Spotify account [or: here are my tastes] and feed me new music picks daily, learning what I like and dislike from my feedback.","description":"Learns music tastes (or Spotify), then feeds new tracks and learns likes/dislikes.","story":"Feeds Muse their music tastes (or connects Spotify) and gets new music recommendations with the agent learning likes/dislikes.","sourceHandle":"@kottley (verified, X, 2026-09-11; video attached)","sourceUrl":"https://x.com/kottley/status/2098541256221536622","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:zero-balance-transfer-cards","title":"Find 0% balance-transfer credit cards","category":"Money","prompt":"Find me credit cards with 0% balance-transfer fees [with my credit profile]: list the options and the transfer terms.","description":"Found credit union cards with zero balance-transfer fees.","story":"Asked Muse to find a credit card with 0% balance-transfer fees; it surfaced credit-union cards offering this.","sourceHandle":"@ArunCherian12 (X, 2026-09-11; reply to @alexandr_wang's feature-request post)","sourceUrl":"https://x.com/ArunCherian12/status/2098547075369623643","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:basque-cart-tickets","title":"Navigate a Basque-language cart and buy tickets","category":"Shopping","prompt":"Buy my tickets on [site] even though the checkout is in [Basque/another language]: complete the purchase and confirm the tickets.","description":"Navigated a Basque shopping cart and got tickets purchased.","story":"Muse navigated a Basque-language shopping cart and bought them tickets.","sourceHandle":"@cvander / Christian Van Der Henst (verified, X, 2026-09-11; video attached)","sourceUrl":"https://x.com/cvander/status/2098539222139625883","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:ga-report-figures-charts","title":"Rewrite GA report figures and charts","category":"Work","prompt":"Take this [Google Analytics] report and update the figures, charts and details per [changes]. Produce the revised report.","description":"Took a Google Analytics report and rewrote figures, charts, and details after Claude and Gemini refused.","story":"Fed Muse a Google Analytics report and asked it to change the figures and adjust charts/details — done, where Claude and Gemini had refused.","sourceHandle":"@loyCossou / Loyc C. (verified, X, 2026-09-11; reply to @alexandr_wang's feature-request post)","sourceUrl":"https://x.com/loyCossou/status/2098468875604013172","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:airport-parking-groupon","title":"Compare Uber vs parking, buy Groupon, book parking","category":"Travel","prompt":"My flight is [today/this morning]: compare Uber vs airport parking, buy the cheapest option (use deals/Groupons if available), book the reservation, and tell me exactly when to leave.","description":"Compared Uber vs airport parking for a flight, bought a half-off Groupon, booked the lot via computer use, and set when to leave.","story":"On a flight morning, Muse compared Uber vs airport parking, bought a half-off Groupon, booked the parking reservation via computer use, and told them what time to leave.","sourceHandle":"@jaidharo / jaidha (verified, X, 2026-09-11; media attached)","sourceUrl":"https://x.com/jaidharo/status/2098430453934174305","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:prospect-50-accounts-csv","title":"Prospect 50 accounts, CSV, outreach drafts in 3 minutes","category":"Work","prompt":"Prospect 50 accounts in my ICP [criteria]: build an enriched CSV, draft a personalized outreach email for each, place them in my drafts, and notify me to review. One-click approval sends them.","description":"Prospected 50 ICP accounts, built an enriched CSV, and drafted initial outreach.","story":"Asked Muse to prospect 50 accounts squarely in their ICP, build an enriched CSV, draft personalized initial outreach, drop them in drafts, and notify them to review — done in 3 minutes on their phone via dictation, \"without making a single mistake.\"","sourceHandle":"@smallchris / Chris Small (verified, X, 2026-09-11)","sourceUrl":"https://x.com/smallchris/status/2098373287453601935","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:one-day-trip-sprint","title":"One-day trip sprint: flights, emails, dinner, tickets","category":"Travel","prompt":"Run my personal day: book my [flight], handle my emails, get dinner reservations for [date], and buy tickets to [game]. Alert me on anything that needs my attention.","description":"Booked a flight, handled emails, got dinner reservations, bought game tickets, and flagged items needing attention.","story":"In one day Muse booked a flight, handled emails, got dinner reservations, bought game tickets, and alerted them on things needing attention — only 4% of limits used.","sourceHandle":"@Divine_machine / Divine 〽️achine (verified, X, 2026-09-10)","sourceUrl":"https://x.com/Divine_machine/status/2098212216746975340","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:weekend-tickets-baby-bluray","title":"Weekend plans, Avengers tickets, baby blu-ray","category":"Shopping","prompt":"Start with my backlog: make weekend plans, buy [movie] tickets for [date], order [item] for [person], and keep hunting for the best deal on [product]. Confirm each.","description":"Made weekend plans, bought Avengers Doomsday tickets, got Moana on blu-ray, and shopped for a backup gaming mouse.","story":"First task-delegation pass: weekend plans made, Avengers Doomsday tickets bought, a Moana blu-ray for their baby, and an ongoing hunt for a good deal on a backup gaming mouse.","sourceHandle":"@romerojr__ / Miguel (verified, X, 2026-09-10)","sourceUrl":"https://x.com/romerojr__/status/2098200658956460141","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:finance-tracker-monarch-replacement","title":"Personal-finance tracker replacing Monarch/Origin","category":"Money","prompt":"Build me a personal finance tracker replacing Monarch/Origin: connect my accounts, categorize spending, and show a clean dashboard I can open anytime.","description":"Built a personal finance tracker to replace Monarch/Origin.","story":"Muse built them a Monarch/Origin personal-finance replacement tracker.","sourceHandle":"@doubleOObe / DoubleO (verified, X, 2026-09-10)","sourceUrl":"https://x.com/doubleOObe/status/2098143316776833101","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:weekend-plan-reminders","title":"Plan a weekend: research, ideas, reminders","category":"Fun","prompt":"Plan my weekend: research [options near me / interests], make the plan, and set reminders. Surprise me with something I wouldn't have thought of.","description":"Researched weekend ideas, built the plan, and set reminders.","story":"Asked Muse what to do on the weekend; it researched, gave ideas, made the plan, set reminders — and suggested the idea on its own.","sourceHandle":"@anukshi13 / Anukshi Mittal (verified, X, 2026-09-10)","sourceUrl":"https://x.com/anukshi13/status/2098124861109641647","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:college-tour-booking-pdf","title":"College-tour booking windows + shareable PDF","category":"Family","prompt":"We're planning college tours at [schools]: find the booking windows for each and generate a shareable PDF summary I can send my wife.","description":"Listed schools from a car conversation; Muse found booking windows and generated a PDF plan.","story":"Chatting about college tours with their wife, they listed schools to Muse — it found the booking windows and unexpectedly generated a shareable PDF.","sourceHandle":"@iamsomewalrus / joe feeney (verified, X, 2026-09-10)","sourceUrl":"https://x.com/iamsomewalrus/status/2098125520596783503","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:crm-leads-outreach-agent","title":"Build a CRM, tier leads, launch outreach sub-agent","category":"Work","prompt":"Build me a DIY CRM: categorize my leads [list/data] into tiers and create a sub-agent that drafts and sends outreach. Report the tiers and the outreach plan.","description":"Built a basic CRM, tiered leads, and spun up a sub-agent to handle outreach.","story":"Tested Muse on work stuff: it created its own CRM, categorized leads into tiers, and spun up an outreach sub-agent — \"without hesitation.\"","sourceHandle":"@Mexi_Coug (verified, X, 2026-09-10; media attached)","sourceUrl":"https://x.com/Mexi_Coug/status/2098146548626735221","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:unclaimed-property-800-10min","title":"Unclaimed property hunt: $800 found in 10 minutes","category":"Money","prompt":"Search every state I've lived in [list] for unclaimed property owed to me, fill out the claim forms, and report what each claim is worth.","description":"Searched every state lived in for unclaimed property and filled the forms in ~10 minutes — over $800 found.","story":"Muse searched every state they'd lived in for unclaimed property and filled out the forms in ~10 minutes — over $800 found.","sourceHandle":"@WaitWhat / Lincoln (verified, X, 2026-09-10; media attached)","sourceUrl":"https://x.com/WaitWhat/status/2098169214091887047","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:daily-premarket-summary","title":"Daily pre-market summary","category":"Money","prompt":"Send me a market summary each day before market opens: [tickers/positions to watch], key overnight news, and anything affecting my options trades.","description":"Sends a market summary each day before the market opens.","story":"Has Muse sending them a market summary each day before the market opens.","sourceHandle":"@GregProctor / Greg Proctor (verified, X, 2026-09-10; borderline — quote-post of a walkthrough video)","sourceUrl":"https://x.com/GregProctor/status/2098073501181571484","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:unsubscribe-promotions-overnight","title":"Unsubscribe from dozens of promotions overnight","category":"Admin","prompt":"Go through my email and unsubscribe me from every promotional list and newsletter I don't read. Report how many you killed.","description":"Went through an entire inbox overnight and unsubscribed from dozens of promotions on ~10% of the free token budget.","story":"Muse went through their entire email overnight and unsubscribed them from dozens of promotions, using ~10% of the free token budget.","sourceHandle":"@negligible_cap / Negligible Capital (verified, X, 2026-09-10)","sourceUrl":"https://x.com/negligible_cap/status/2098030155839000856","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:refund-flight-deals-hour","title":"Enterprise refund, Christmas flight, recliner deals in an hour","category":"Money","prompt":"Three things, fast: (1) chase my refund from [Enterprise/other rental], (2) book my [Christmas] flight [route], (3) find the best deals on [recliners/item]. Report each outcome.","description":"In under an hour: chasing an Enterprise car-rental refund, booking a Christmas flight, and finding recliner deals.","story":"Within an hour of downloading: working an Enterprise car-rental refund, booked a Christmas flight, and found recliner deals. (Replies from Meta staff, but author is not Meta.)","sourceHandle":"@AbdulTheBuilder / Abdul (verified, X, 2026-09-10)","sourceUrl":"https://x.com/AbdulTheBuilder/status/2098097018992210132","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:restaurant-booking-race-caveat","title":"Restaurant-booking race: Muse vs Instinct (honest caveat)","category":"Food","prompt":"Book [restaurant] for [date/party] and pay the reservation fee [via my saved @link payment]. If the in-app browser blocks prefill, tell me and offer the external-browser path.","description":"Raced Muse vs Instinct to book a restaurant and pay the reservation fee—Muse finished faster.","story":"Raced Muse vs Instinct on booking a restaurant and paying the reservation fee: Muse got through \"far faster,\" but they chose Instinct because it let them use an external browser with @link prefilled. Feedback to Meta on in-app browser vs external browser.","sourceHandle":"@startupoppa / Alex Kwon (verified, X, 2026-09-09; video attached; honest caveat)","sourceUrl":"https://x.com/startupoppa/status/2097916972814200946","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:claude-code-muse-vm-bridge","title":"Claude Code running on Muse's Linux VM","category":"Work","prompt":"Give me a terminal bridge on my agent's VM: poll every few seconds for pending prompts, run them via [CLI tool], and post the results back to this chat.","description":"Ran Claude Code on Muse’s Linux VM (2 vCPU, ~8GB RAM, 100GB disk) via a tiny outbound tunnel.","story":"Got Claude Code running on their Muse agent's own Linux VM via a 15-line xterm.js + scheduled-task bridge: the Muse agent wakes every 5 seconds, shells out to claude -p, and posts results back. (Reply from an investor: \"I hope you like it!\")","sourceHandle":"@gregce10 / Greg Ceccarelli (verified, X, 2026-09-09; GIF attached; borderline — meta-hack)","sourceUrl":"https://x.com/gregce10/status/2097925548030734372","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:six-concrete-muse-tests","title":"Six concrete Muse tests: flights, shopping, health","category":"Travel","prompt":"Run my six-task stress test: (1) find [SFO]→[Munich] [10-day December] flights and monitor for price drops weekly; (2) buy [item] on Amazon end to end; (3) transcribe this [Instagram video]; (4) scan my Spotify playlists for upcoming SF shows, find resale tickets, and monitor for cheaper ones; (5) analyze my [Apple Health] runs and build a training plan for [race] with a tracking dashboard; (6) connect my brokerage and bank, find subscriptions and analyze cash flow.","description":"Researched flight tickets from SFO to Munich for a 10-day December trip.","story":"Six concrete tests: (1) SFO→Munich 10-day December flights searched + price-drop monitor scheduled every Monday; (2) Amazon item bought end-to-end (Wayfair blocked, Walmart crashed); (3) Instagram video transcribed via browser-downloaded Whisper CLI setup; (4) Spotify playlists scanned → The user SF show → Ticketmaster resale tickets + cheaper-ticket monitor; (5) Apple Health runs analyzed → Golden Gate half-marathon training plan + goals + mini-dashboard; (6) brokerage + bank connected for subscription finding and cash-flow analysis (refused complex advice).","sourceHandle":"@shivambharuka / Shivam Bharuka (verified, X, 2026-09-09; 4 media; note: ex-Meta, disclosed \"I worked at Meta before starting Finn\" — not current employee)","sourceUrl":"https://x.com/shivambharuka/status/2097840314241433994","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:iphone-duo-pitch-deck","title":"Pitch deck to justify the iPhone Duo upgrade","category":"Fun","prompt":"Build me a pitch deck arguing why I should buy [product], convincing enough to present to my wife.","description":"Built a pitch deck to convince a spouse to upgrade to the new iPhone Duo.","story":"Asked Muse (\"conveniently named Zuck\") to build a pitch deck arguing why they should upgrade to the new iPhone Duo, to present to their wife.","sourceHandle":"@KingFazir / Fazir Ali (verified, X, 2026-09-09; 2 media; borderline — thin)","sourceUrl":"https://x.com/KingFazir/status/2097809852609265684","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:mine-emails-visualize-search","title":"Mine emails for interests, visualize EU vs US search","category":"Work","prompt":"Mine my emails for my interests and portfolio holdings to build a personalized feed. Then visualize [topic] for me on demand.","description":"Scanned emails for interests and portfolio holdings to populate the Muse feed.","story":"Asked Muse to mine all their emails for their interests and portfolio holdings to populate the Muse feed; then used the feed's EU Google-search news to have Muse visualize the EU vs US search difference.","sourceHandle":"@borrowed_ideas / Mostly Borrowed Ideas (verified, X, 2026-09-09; media attached)","sourceUrl":"https://x.com/borrowed_ideas/status/2097825370011742682","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:marketplace-item-scan","title":"Scan Facebook Marketplace for specific items","category":"Shopping","prompt":"Scan Facebook Marketplace for [specific items] and alert me the moment a good one appears — stop me from scrolling manually.","description":"Scans Facebook Marketplace for specific items so you don’t have to scroll yourself.","story":"Muse scans Facebook Marketplace for specific items instead of their scrolling manually.","sourceHandle":"@__mikareyes / Mika Reyes (verified, X, 2026-09-09; media attached; different tweet than the one already in the seen list)","sourceUrl":"https://x.com/__mikareyes/status/2097735042294296822","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:30-day-content-calendar","title":"30-day content calendar","category":"Work","prompt":"Build me a 30-day content calendar for my [city account]: great, postable ideas, one per day.","description":"Built a 30-day content calendar of city-account ideas.","story":"Muse built them a 30-day content calendar \"all great ideas\" for their city-focused account.","sourceHandle":"@DAVV1T / Davvit (verified, X, 2026-09-09)","sourceUrl":"https://x.com/DAVV1T/status/2097724164278751352","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:bitcoin-satoshi-agent","title":"Bitcoin balance via Breez: receive and move sats","category":"Money","prompt":"Set up a bitcoin balance on my agent via [@Breez_Tech]: receive sats at [address] and move them on my command. Report the balance after each move.","description":"Set up agent Satoshi with a bitcoin balance via Breez — received and moved sats.","story":"Set up their agent \"Satoshi\" with a bitcoin balance via @Breez_Tech — received and moved sats.","sourceHandle":"@dannystagg / danny (verified, X, 2026-09-09; video attached)","sourceUrl":"https://x.com/dannystagg/status/2097727457856020722","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:forgotten-claude-max-subscription","title":"Forgotten $100/mo Claude Max found in receipts","category":"Money","prompt":"Audit my last 6 months of email receipts: find every subscription I'm still paying for, flag duplicates and ones I've forgotten, and total what I could save.","description":"Scanned six months of email receipts and found a forgotten $100/mo Claude Max sub on a corp card—about $1,200/year saved.","story":"Muse audited 6 months of email receipts and found a forgotten $100/mo Claude Max subscription on their corp card despite an enterprise license — ~$1,200/year saved.","sourceHandle":"@idobn / Idobn (verified, X, 2026-09-08; media attached; different tweet than the two already in the seen list)","sourceUrl":"https://x.com/idobn/status/2097570513107272175","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:closed-restaurant-booking-fail","title":"Booked a restaurant closed for 2 years (honest fail)","category":"Food","prompt":"Find me a dinner spot [area/cuisine] and book a table. Check first that the place is actually still open before trying to book.","description":null,"story":"Asked Muse where to go for dinner; it recommended Bar Agricole — closed for 2 years — and tried booking it for 7 minutes without getting through. (A Meta staffer replied a fix had been pushed.)","sourceHandle":"@pitdesi / Sheel Mohnot (verified, X, 2026-09-08; media attached; honest caveat — failed action)","sourceUrl":"https://x.com/pitdesi/status/2097449401363181602","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:nyt-style-self-collage","title":"NYT-front-page-style collage of yourself","category":"Fun","prompt":"Research my aesthetics from my Instagram follows and make a collage of me in the style of [a NYT front page].","description":"Reads Instagram follows for aesthetics, then turns them into an NYT-style collage.","story":"Asked Muse to research their Instagram follows' aesthetics and make a collage of herself in the style of an NYT front page — their \"favorite Muse use case.\"","sourceHandle":"@infoxiao / Xiao Ma (verified, X, 2026-09-08; media attached)","sourceUrl":"https://x.com/infoxiao/status/2097461550286258624","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:agent-profile-pic-wolfred","title":"Agent makes its own profile pic 'Wolfred' + GIF","category":"Fun","prompt":"Create your own profile picture, give yourself a name, and make a little animated version of yourself working that shows while you do tasks.","description":"Creates its own profile pic (“Wolfred”) and an animated GIF of the agent at work.","story":"Asked muse.ai to create its own profile pic; it did, renamed itself \"Wolfred,\" and even generated an animated GIF of Wolfred working shown while tasks run.","sourceHandle":"@altryne / Alex Volkov (verified, X, 2026-09-08; video attached; different tweet than the one already in the seen list)","sourceUrl":"https://x.com/altryne/status/2097444743760482437","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:deep-personalization-voice-interview","title":"50-question voice interview, deep personalization","category":"Health","prompt":"Become my personalized superintelligence: start with a deep voice interview (50 questions) about my goals — [weight loss, sleep, finances, family] — then ingest [medical history, labs, genetics, Apple Health], my home-maintenance list with equipment photos, and my email/calendar/messages. Then keep watching: monitor [watchlists/Marketplace] and alert me on [movies hitting streaming].","description":"A 50-question voice interview for self-reflection.","story":"Deep personalization story: fed Muse their goals (weight loss, sleep, finances, family), did a 50-question voice interview twice, gave it medical history/doctor summaries/blood tests/23andMe+Invitae genetics/Apple Health, house chores list with equipment photos, email/calendar/messages/call logs, and imported context from other AI apps. Now Muse monitors their online + Facebook Marketplace watchlists and alerts when movies hit streaming.","sourceHandle":"@davidsven / David Woodland (verified, X, 2026-09-08; 7 follow-up replies, truncated in render)","sourceUrl":"https://x.com/davidsven/status/2097411563946930333","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:medication-autopilot-reorder","title":"Meds on autopilot: cheaper, redirected, auto-reorder","category":"Health","prompt":"Take over my medication management: find the cheapest way to fill [medication], message my provider ([One Medical]) to send the Rx to the right pharmacy, order it, and set up automatic refills when I'm about to run out.","description":"Finds a cheaper way to get meds, texts the pharmacy to route the Rx, orders it, and reorders on autopilot before running out.","story":"Medication management on autopilot — Muse found a cheaper way to get their meds, texted One Medical to redirect the Rx to the right place, ordered it, and is now set to auto-reorder when they's about to run out.","sourceHandle":"@SinaHartung / Sina Hartung, healthcare AI founder (X, 2026-09-14)","sourceUrl":"https://x.com/SinaHartung/status/2099528867119497228","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:finance-dashboards-fraud-flags","title":"Finance dashboards with fraud flags in minutes","category":"Money","prompt":"Build me a personal finance dashboard: categorize my spending, summarize all my accounts, and flag anything that looks like fraud. Rebuild it [weekly/monthly] with fresh data.","description":null,"story":"Muse built them personal finance dashboards in minutes — categorized spending, summarized all accounts, flagged potential fraud. \"RIP personal finance apps.\"","sourceHandle":"@jw_zhixian / Jack Wang (X, 2026-09-11)","sourceUrl":"https://x.com/jw_zhixian/status/2098607156765274272","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:15-years-email-cleanup","title":"Clean and archive 15 years of emails to Hey","category":"Admin","prompt":"I'm migrating my email to [Hey]. Clean and archive my [15] years of inbox: organize by sender/topic, keep what's important, archive the rest, and confirm the migration is complete.","description":null,"story":"Muse cleaned and archived 15 years of emails while migrating everything to Hey — their \"favorite @Muse use case so far.\"","sourceHandle":"@ryanperry / Ryan Perry (X, 2026-09-13)","sourceUrl":"https://x.com/ryanperry/status/2099166776680394777","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:gmail-40k-cleanup-costco-call","title":"Clean 40,000+ Gmail messages, call Costco","category":"Admin","prompt":"Clean up my inbox: archive/sort my [40k] Gmail messages, then call [Costco] customer service about [issue] and give me a transcript of the call.","description":null,"story":"Right after starting to use Muse, it cleaned up 40,000+ Gmail messages and called Costco customer service on their behalf to resolve an issue (Muse provides a transcript of the call).","sourceHandle":"@gordonwisc / Guodong Zhang (Threads, 2026-09-12; 6 followers; no Meta affiliation indicated)","sourceUrl":"https://www.threads.com/@gordonwisc/post/DdM-WYCGXxb","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:exact-product-checkout-url","title":"Find exact product, ready-to-checkout URL","category":"Shopping","prompt":"Find the exact product I want to buy and hand me a ready-to-checkout URL. Save me the tedium of hunting.","description":null,"story":"Used Muse to find the exact product they wanted to buy; it handed back a ready-to-checkout URL (Apple Pay not supported yet). Saved them tedium and time.","sourceHandle":"@scubapup (Threads, 2026-09-12)","sourceUrl":"https://www.threads.com/@scubapup/post/DdMWm83lpi8","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:ig-growth-dashboard","title":"Instagram growth dashboard with suggestions","category":"Fun","prompt":"Build me a dashboard for my [Instagram] profile growth: full breakdown of metrics plus suggestions to improve.","description":"Built an Instagram profile-growth dashboard with metric breakdowns and suggestions via Muse Code.","story":"Their agent \"Astro\" built an Instagram profile-growth dashboard with metric breakdowns and suggestions.","sourceHandle":"@B33fyDan (BeefyDan) (X, 2026-09-15)","sourceUrl":"https://x.com/B33fyDan/status/2099779438288236851","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:bomber-jacket-same-day","title":"Bomber jacket ordered, arrived in hours","category":"Shopping","prompt":"Order me a [bomber jacket] for my upcoming trip [date]: right size, fast delivery. Confirm before you pay.","description":"Asked Muse for a bomber jacket for an upcoming trip; package arrived at home in a couple of hours.","story":"Ordered a bomber jacket for an upcoming trip; package arrived within a couple of hours.","sourceHandle":"@heretolrn (Here2Learn) (X, 2026-09-15)","sourceUrl":"https://x.com/heretolrn/status/2099839110546423820","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:medical-emails-drafted-sent","title":"Three detailed medical emails drafted and sent","category":"Health","prompt":"Draft and send these [complex medical] emails for me: [details]. They're too heavy for me to put together — confirm each before sending.","description":"With severe mitochondrial disease and no energy, Muse drafted and sent three detailed medical emails the user couldn’t assemble.","story":"With a severe acquired mitochondrial disease leaving them with no energy, had Muse draft and send three detailed complex medical emails they couldn't put together himself.","sourceHandle":"@MartinMoltke (Martin) (X, 2026-09-15)","sourceUrl":"https://x.com/MartinMoltke/status/2099798458622177706","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:personal-dietitian-checkins","title":"Personal dietitian: check-ins and meal planning","category":"Health","prompt":"Be my personal dietitian after my [high blood sugar] diagnosis: check in daily, help me plan meals, and monitor how I'm doing. Flag anything risky.","description":"Became a personal dietitian after high blood sugar — daily check-ins, meal planning, and monitoring.","story":"After a high blood sugar diagnosis, Muse became their personal dietitian — daily check-ins, meal planning, monitoring.","sourceHandle":"@FITZPAE (Eric Fitzpatrick) (X, 2026-09-15)","sourceUrl":"https://x.com/FITZPAE/status/2099835990110011642","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:spotify-500-songs-playlists","title":"500+ liked songs organized into playlists","category":"Fun","prompt":"Organize my [500+] liked Spotify songs into playlists by genre and language.","description":"Organized 500+ liked Spotify songs into genre- and language-specific playlists.","story":"Organized 500+ liked Spotify songs into genre- and language-specific playlists.","sourceHandle":"@Dheeraj_kmr (Dheeraj) (X, 2026-09-15)","sourceUrl":"https://x.com/Dheeraj_kmr/status/2099863928993956342","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:photo-calorie-tracker","title":"Photo calorie tracker replaced a paid subscription","category":"Health","prompt":"Build me a calorie tracker: I take a photo of my food, you log the calories and match them against my goals [goals].","description":"Built a calorie tracker so the user canceled their old sub — snap a photo of food, match against goals set in Muse.","story":"Canceled their calorie-tracker subscription after Muse built a photo-based calorie tracker matched against their own goals.","sourceHandle":"@gopikrishna_p1 (Pavuluri Gopikrishna) (X, 2026-09-14)","sourceUrl":"https://x.com/gopikrishna_p1/status/2099734634695197121","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:things-api-todo-sync","title":"Unofficial Things.app API for todo sync","category":"Work","prompt":"Build an unofficial API for [Things.app]: sync my todos from this chat across all my Apple devices on an ongoing basis.","description":"Builds an unofficial Things.app API and keeps todos in sync from Muse across Apple devices.","story":"Had Muse build an unofficial Things.app API enabling ongoing todo sync from the agent across their Apple devices. (Prior note: the embed had been truncated and unverifiable — now verified on the live post.)","sourceHandle":"@holman (Zach Holman) (X, 2026-09-14)","sourceUrl":"https://x.com/holman/status/2099588794689437736","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:ein-hallucination-fail","title":"Hallucinated an EIN from a text thread (honest fail)","category":"Work","prompt":"Search my text thread for the EIN I need and report it.","description":null,"story":"Asked Muse to search a text thread for an EIN; it claimed to find it, then hallucinated a random EIN number (failure story, screenshot attached).","sourceHandle":"@ChrisTwiggsPM (Chris - Property Management) (X, 2026-09-15)","sourceUrl":"https://x.com/ChrisTwiggsPM/status/2099856846773157980","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:strep-test-ebay-search","title":"Asked for a strep test; agent searched eBay for kits","category":"Health","prompt":"Find me a rapid at-home strep test I can buy.","description":null,"story":"Asked Muse for a rapid at-home strep test; it went straight to searching eBay for test kits.","sourceHandle":"@bilalfarooqui (Bilal Farooqui) (X, 2026-09-15)","sourceUrl":"https://x.com/bilalfarooqui/status/2099909021302145527","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:whatsapp-stock-updates-fail","title":"WhatsApp stock updates failed 4 times (honest fail)","category":"Money","prompt":"Send stock updates to my WhatsApp on a schedule.","description":null,"story":"Asked Muse to send stock updates to their WhatsApp; after 4 modification attempts it still didn't work and insisted it was working (failure story).","sourceHandle":"@mickworld221 (2025 R.Babson) (X, 2026-09-15)","sourceUrl":"https://x.com/mickworld221/status/2099770563178922207","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:personal-dm-feed","title":"Personal friends-and-family feed from DMs","category":"Fun","prompt":"Build me a personal feed of friends-and-family updates based on my DMs.","description":null,"story":"After deleting Instagram years ago, they had Muse build them a personal feed of friends-and-family updates based on their DMs. (Note: \"Prev @metaai\" — former Meta AI, not current. Post text truncated by X display at \"figure out who\"; image attached.)","sourceHandle":"@shivambharuka (Shivam Bharuka) (X, 2026-09-14)","sourceUrl":"https://x.com/shivambharuka/status/2099595166281761254","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:burger-spots-google-maps","title":"Burger spots from IG post saved to Google Maps","category":"Food","prompt":"Extract restaurant spots from this saved Instagram post and save them to my Google Maps with notes.","description":null,"story":"Granted Muse access to their Google account; it extracted top-burger spots from a saved Instagram post and saved them to their Google Maps with notes — replacing a manual task. Comments debated the implementation (full-account access vs no native Maps connector).","sourceHandle":"@jitpal (JP, Threads, 2026-09-15)","sourceUrl":"https://www.threads.com/@jitpal/post/DdUKv0XFuSl","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:unclaimed-250-human-checkbox-caveat","title":"$250 unclaimed funds; agent asked to click 'verify you're human' (honest caveat)","category":"Money","prompt":"Search Minnesota's unclaimed-property site for [name] and report what you find. Ask my permission before clicking any verification checkboxes.","description":null,"story":"Muse searched Minnesota's unclaimed-property site for \"Jennifer\" and asked permission to click through \"verify you're human\" checkboxes on this and future searches; found $250 in unclaimed funds. Post framed as cautionary/funny.","sourceHandle":"@gregswan (Greg Swan, Threads, 2026-09-14)","sourceUrl":"https://www.threads.com/@gregswan/post/DdQDYnqkS74","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:airline-support-15-minutes","title":"Airline support resolved in 15 minutes at a conference","category":"Travel","prompt":"Handle this airline customer-support issue for me [details] — go back and forth as needed. Only ping me if you need a verification code.","description":null,"story":"Sent Muse to deal with airline customer support while they were at a conference with zero time; flight issue resolved in 15 minutes (they only provided a verification code).","sourceHandle":"@JohnnyLoincloth (X, 2026-09-15)","sourceUrl":"https://x.com/JohnnyLoincloth/status/2099873678070624271","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:agentmail-morning-report","title":"Agentmail address feeding a morning report bot","category":"Work","prompt":"Monitor [Facebook friends' activity] and email anything interesting to [bot/pipeline address] so it lands in my morning report. I shouldn't have to scroll.","description":"Gave Muse its own AgentMail inbox so interesting Facebook friend activity gets emailed into a GrokBot morning digest.","story":"Gave their Muse its own agentmail address so it emails interesting friends' Facebook activity to their Grok bot, which adds it to their automated morning report — cutting Facebook scrolling.","sourceHandle":"@ninepointlabs (\"Tim Apple\") (X, 2026-09-15)","sourceUrl":"https://x.com/ninepointlabs/status/2099874490280730830","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:trading-mcp-ideas","title":"Trading account via MCP: reads data, lays down ideas","category":"Money","prompt":"Connect to my [brokerage] account via [MCP], read my positions, run social and news checks on my holdings, and lay down trading ideas. Report each idea with the data behind it.","description":"Connected a Farao trading account through Orus MCP; Muse reads the data, checks social/news, and lays out a trading idea.","story":"Connected their FaraoTrading account to Muse via Orus MCP; Muse reads the account data, runs social/news checks, and lays down trading ideas.","sourceHandle":"@joalavedra (X, 2026-09-15)","sourceUrl":"https://x.com/joalavedra/status/2099894783971844529","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:eva-family-assistant","title":"EVA: AI family assistant for two kids' schools and swim","category":"Family","prompt":"Build my family assistant: track my kids' [schools, swim teams] deadlines, update our family calendar, and answer questions about what's coming up. Ping me when something's due.","description":"Built a Meta Muse family assistant that pulls school/swim emails, tracks deadlines, updates the calendar, and answers what’s coming up.","story":"Built \"EVA,\" an AI family assistant on Meta Muse for two kids at multiple schools plus swim teams — finds what matters, tracks deadlines, updates the family calendar, answers questions about what's coming up.","sourceHandle":"@TheMrAIDan (X, 2026-09-15)","sourceUrl":"https://x.com/TheMrAIDan/status/2099871610086080602","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:life-in-uk-mock-test","title":"Mock-test app for the Life in the UK test; friend passed","category":"Fun","prompt":"Build me a mock-test app for the [Life in the UK citizenship test]: research the material, pull real questions people have reported from actual sittings, 270 questions, same format and pressure. Make it free to share.","description":"Built a 270-question mock Life in the UK test from real sittings so a friend could prep for indefinite leave — they passed the real exam.","story":"Told Muse to build a mock-test app for the Life in the UK citizenship test (270 questions, real format, real questions people reported from actual sittings). Their friend practiced nightly, started passing, then passed the real test.","sourceHandle":"@hacx (X, 2026-09-15)","sourceUrl":"https://x.com/hacx/status/2099883131264213238","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:forgotten-subscription-refund-year","title":"Forgotten subscription cancelled, year's charges recovered","category":"Money","prompt":"Audit my subscriptions for anything forgotten — if you find one charging for [a year]+, cancel it, find their refund policy, and claw back as much as you can.","description":"Found a monthly book subscription left running over a year, cancelled it, and clawed back a full year of charges via the refund policy.","story":"Muse surfaced a monthly book subscription their wife had forgotten to cancel over a year ago; their assistant cancelled it, found the refund policy, and recovered a year's worth of charges.","sourceHandle":"@chrsabraham (X, 2026-09-15)","sourceUrl":"https://x.com/chrsabraham/status/2099879164895527008","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:master-file-auto-reorder","title":"Master file of favorites; auto reorders stocked","category":"Shopping","prompt":"Keep this master file of my favorite [skincare/household] products stocked: track them across all platforms and reorder before I run out. Confirm each reorder.","description":null,"story":"Keeps a \"master file\" of favorite products with Muse; it tracks and reorders their skincare and household items across platforms so everything stays stocked.","sourceHandle":"@SinaHartung (Sina Hartung, X, 2026-09-15)","sourceUrl":"https://x.com/SinaHartung/status/2099889999114125670","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:vintage-hunt-flight-brief","title":"Vintage item hunts, cheapest flight, daily Tokyo brief","category":"Shopping","prompt":"Get my calendar in order; hunt for [specific vintage items] in [price range] across the world; find the cheapest flight to [destination] in [quarter]; send me a daily brief on [events I like].","description":null,"story":"Muse searches globally for specific vintage items within a price range, finds the cheapest flight in a quarter to a destination, and sends a daily brief on Tokyo matsuri and other preferred events.","sourceHandle":"@rallat (Isra Ferrer, Threads, 2026-09-14)","sourceUrl":"https://www.threads.com/@rallat/post/DdSe9nxGXoi","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:goldie-teacher-agendas-calendar","title":"'Goldie' agent: teachers' agendas to calendar, pickup alarms","category":"Family","prompt":"Each week, scan my emails for my kids' teachers' agendas and add every date to my calendar; also set up alarm series for school pickups connected to my calendar.","description":null,"story":"Mom of three / cookie artist; agent \"Goldie\" scans their emails for teachers' agendas and adds dates to their calendar weekly (auto-check), and schedules alarm series for school pickups tied to their calendar. Screen recordings show Muse requesting email access, confirming the weekly check, and completing the tasks.","sourceHandle":"@sweetly.painted.cookies (Caley Price, Instagram, 2026-09-14, 16K followers)","sourceUrl":"https://www.instagram.com/reel/DdRTRSdRIMw/","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:media-kit-pdf-web-10min","title":"Media kit: PDF + web version in 10 minutes","category":"Work","prompt":"Build me an updated media kit with [sections]: generate both a PDF and a web version.","description":null,"story":"Told Muse what they wanted in an updated media kit; it generated both a PDF version and a web version in under 10 minutes (vs ~1 hour in Canva). Screen recordings show the chat and the resulting media kit pages.","sourceHandle":"@lifeoflaura06 (Laura, beauty creator, Instagram, 2026-09-14, 81K followers)","sourceUrl":"https://www.instagram.com/reel/DdRTtHDBOSa/","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:applevis-14-tasks-whatsapp","title":"Blind user: 14+ complex tasks via WhatsApp in week one","category":"Travel","prompt":"Automate my travel life in the background: book flights with my unused credits, watch my seats every 30 minutes, monitor hotel prices daily, file my missing-miles claims, and flag anything I need to approve.","description":null,"story":"Blind AppleVis user automated 14+ complex tasks via WhatsApp in their first week with Muse (Sep 8–14): signed up for Achilles running-group shifts, booked a Southwest flight using unused flight credits autonomously, tracked a 20K-point Southwest promotion cross-referencing Gmail receipts, 30-min airline seat checks, daily NYC hotel price/points monitoring (IHG/Hyatt/Marriott), accessible screen-reader restaurant menus, a full Nutri meal-delivery order via numbered replies, Strava activity renames, iCloud photo captions, a friend-trip dashboard with OpenTable booking/cancellation, AA missing-mileage claims filed with receipts saved to Drive, and a webinar signup with calendar entry. Broke the free tier on day 6 (98% used) and upgraded to the $20 plan. EXCEPTIONAL find — \"life-changing,\" dozens of concrete completed actions, accessibility angle.","sourceHandle":"anonymous AppleVis community author (no name shown on the page; clearly a blind screen-reader user, not a Meta employee)","sourceUrl":"https://www.applevis.com/apps/ios/productivity/muse-meta","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:photos-support-samsung-chat","title":"Sorted photos, saved money, handled support chats","category":"Money","prompt":"Sort my photos/videos, find me savings, and handle my support chats — approve before spending or changing anything.","description":null,"story":"After a few days of use, Muse had sorted their photos and videos, saved them money, and handled customer-support chats for them; the peak moment was Muse asking a Samsung support rep if *they* were human before continuing the chat.","sourceHandle":"@dlippsYT (X, 2026-09-14)","sourceUrl":"https://x.com/dlippsYT/status/2099589473642156117","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:trip-bookings-refund-secured","title":"Trip bookings handled; refund secured when one cancelled","category":"Travel","prompt":"Handle all my trip bookings; if one gets cancelled, mail my bank to get the refund processed.","description":null,"story":"While on a trip, Muse handled all their bookings; when one booking was cancelled, it mailed their bank and got them a refund.","sourceHandle":"@Shreyashgg (X, 2026-09-14)","sourceUrl":"https://x.com/Shreyashgg/status/2099774627950309716","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:college-life-automation-stack","title":"College student's life-automation stack","category":"Admin","prompt":"Auto-claim my [student] tickets the second the window opens; read my school email for [scholarship] threads; track my [Canvas] assignments; handle my support emails; send a morning brief with [calendar, assignments, fantasy]; audit my subscriptions and remind me before trials bill.","description":null,"story":"College student running a whole life-automation stack on Muse: auto-claims BSU football tickets the second the window opens, reads school email for scholarship/financial-aid threads, tracks Canvas assignments (submitted vs missing), handles customer-support emails end to end, sends a morning brief (calendar, assignments, fantasy), watches Instagram stories read-only and pings on new ones, scans the fantasy waiver wire weekly plus gameday checks, audited every subscription with trial-cancellation reminders, and keeps their Notion second brain organized.","sourceHandle":"@Colehollander10 (X, 2026-09-14)","sourceUrl":"https://x.com/Colehollander10/status/2099604162669600821","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:book-haircut","title":"Book a haircut","category":"Admin","prompt":"Book me a haircut at [barbershop] for [preferred times] and confirm.","description":null,"story":"Muse booked a haircut for them — a chore they admits they can barely manage himself.","sourceHandle":"@themichelinmin (X, 2026-09-14)","sourceUrl":"https://x.com/themichelinmin/status/2097922448201338925","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:deal-check-product-page","title":"Deal-check any product page before buying","category":"Shopping","prompt":"Scour the internet for any deal on this product [link], and confirm the discount applies on this exact product page before I buy.","description":null,"story":"Before buying, they pastes the product page (Amazon or wherever) and has Muse scour the internet for any deal, confirming the discount actually applies on that exact product page.","sourceHandle":"@ParthaSundaram (X, 2026-09-14)","sourceUrl":"https://x.com/ParthaSundaram/status/2098799513922388134","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:coupon-code-standing-instruction","title":"Standing instruction: try every coupon code, then checkout","category":"Shopping","prompt":"Every time I send you a screenshot or link, find the best coupon code by trying them one by one, go through checkout, and report the final price for my approval before purchase.","description":null,"story":"Built a standing instruction: every time they sends a screenshot or link, Muse finds and tries coupon codes one by one until the best deal is found, runs the checkout flow, and reports back before purchase.","sourceHandle":"@plumberbutt97 (X, 2026-09-13)","sourceUrl":"https://x.com/plumberbutt97/status/2097474791611437150","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:ebay-shorts-iphone-emails","title":"eBay shorts, iPhone preorder, 25,000 emails deleted","category":"Shopping","prompt":"Buy [item] on eBay: find the exact one, check out, pay — I approve before you spend; delete junk email; brief me daily at 5 AM.","description":null,"story":"Muse bought them shorts on eBay (found the exact pair, checked out, paid — they just tapped approve), preordered their iPhone, deleted 25,000 emails, and briefs them every day at 5 AM.","sourceHandle":"@kottley (X, 2026-09-14)","sourceUrl":"https://x.com/kottley/status/2099100075775455601","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:websites-games-playlists","title":"Websites, games, and Spotify playlists","category":"Fun","prompt":"Build me a [website/game]; make a Spotify playlist for [mood]; set reminders and scheduled tasks for [things].","description":null,"story":"Has used Muse to build websites and games and create Spotify playlists; likes that it shows its thought process, that memory is strong, and that reminders/scheduled tasks are easy.","sourceHandle":"@emmjay_init (X, 2026-09-15)","sourceUrl":"https://x.com/emmjay_init/status/2099940699923984640","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:household-project-contractors-30min","title":"Household project: research, refine, contact contractors in 30 min","category":"Home","prompt":"Research a [home improvement] for me, refine it with me, then reach out to contractors for quotes.","description":null,"story":"For a household project, Muse researched and suggested an improvement, refined it with them, and reached out to contractors — all within about 30 minutes.","sourceHandle":"@ZachSB (X, 2026-09-14)","sourceUrl":"https://x.com/ZachSB/status/2099209845375132133","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:saas-muse-pm-devin-engineer","title":"SaaS build: Muse as PM/QA, Devin as engineer","category":"Work","prompt":"Act as PM and QA while [coding agent] builds: track tasks, review output, and keep the build moving.","description":null,"story":"Building a SaaS plus automated workflows with Muse as project manager/QA and Devin as engineer/designer; after 1+ year on Claude Code and 6 months on Cursor, calls it their best agentic coding experience.","sourceHandle":"@HouseHackerJon (X, 2026-09-15)","sourceUrl":"https://x.com/HouseHackerJon/status/2099995109957963933","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:trade-journal-bad-trades","title":"Trade journal with bad-trade reviews","category":"Money","prompt":"Build me a trade journal; after I share my review of each trade, go through my bad ones with me and find the patterns.","description":null,"story":"Muse built them a trade journal; after they shares their own review of each trade, it goes through their bad trades with them.","sourceHandle":"@MrMonsterLLC (X, 2026-09-14)","sourceUrl":"https://x.com/MrMonsterLLC/status/2099458911178756167","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:calorie-tracking-nudges","title":"Photo calorie tracking with accountability nudges","category":"Health","prompt":"Track my calories from meal photos; build a daily-count dashboard; find my weakest eating window and nudge me to stay on track.","description":null,"story":"Photo-based calorie tracking: snaps a meal photo, Muse guesses calories, built a clean daily-count artifact unprompted, identified 4-6 PM as their weakest window, and sends accountability nudges.","sourceHandle":"@sathappan (X, 2026-09-14)","sourceUrl":"https://x.com/sathappan/status/2099073328405483957","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:dinner-party-allergy-memory","title":"Dinner party planned; remembered Maria's shellfish allergy","category":"Food","prompt":"Plan a dinner party: suggest the menu, write the invites, and check everyone's dietary restrictions from what you know about them.","description":null,"story":"Asked Muse to plan a dinner party; it suggested the menu, wrote the invites, and flagged which dish to skip because their friend Maria is allergic to shellfish — mentioned once, months earlier. A standout memory win.","sourceHandle":"@PipeBladex (X, 2026-09-14)","sourceUrl":"https://x.com/PipeBladex/status/2099868829924872365","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:school-district-events-calendar","title":"School district events added to shared calendar","category":"Family","prompt":"Find my kids' school district calendar, validate the source, and add every event (days off, half days, early release) to my shared calendar.","description":null,"story":"Asked Muse to find their kids' school district and add every event (days off, half days, early release) to a shared calendar; it validated the source and added everything in about a minute.","sourceHandle":"@jaredfavole (X, 2026-09-14)","sourceUrl":"https://x.com/jaredfavole/status/2099552279225319567","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:amazon-order-by-chat","title":"Ordered Amazon items by chat","category":"Shopping","prompt":"Order [items] off Amazon — find the best-matching products and get my approval before checkout.","description":null,"story":"Ordered items off Amazon by chat; Muse found the best-matching products there.","sourceHandle":"@oreHistorian (X, 2026-09-13)","sourceUrl":"https://x.com/oreHistorian/status/2098912154628100219","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:crypto-400-coupon-sweep","title":"$400 crypto rescued, $100 coupon, inbox sweep","category":"Money","prompt":"Sweep my inbox for money opportunities: forgotten accounts, unclaimed funds, unused coupons and refunds — report each before acting.","description":null,"story":"In the Muse money challenge, Muse found ~$400 in a crypto account queued for deletion this month due to inactivity, and saved $100 via a valid coupon on a purchase they were making anyway; now doing a full inbox sweep for more.","sourceHandle":"@dylan_heagy (X, 2026-09-14)","sourceUrl":"https://x.com/dylan_heagy/status/2099190094238224716","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:whiteboard-grocery-list","title":"Whiteboard grocery list photo → groceries shopped","category":"Food","prompt":"Do my grocery run from this list [photo]: match my usual brands, get my approval on the total.","description":null,"story":"Took a photo of their wife's handwritten whiteboard shopping list and sent it to Muse, which did the grocery shopping; the kids watched it browse and complained about its snack choices.","sourceHandle":"@dylan_heagy (X, 2026-09-13)","sourceUrl":"https://x.com/dylan_heagy/status/2097717406000934914","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:att-bill-1050-saved","title":"AT&T bill reduced: $570 this year + $480 next","category":"Money","prompt":"Review my AT&T bill and negotiate it down; get my approval before accepting any plan change.","description":null,"story":"Muse reduced their AT&T bill — $570 saved this year plus another $480 next year (#musemoneychallenge).","sourceHandle":"@angryphoenix (Arjun Menon, product manager, X, 2026-09-15)","sourceUrl":"https://x.com/angryphoenix/status/2099893765762847144","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:small-business-cleanup-leads","title":"Small business cleanup: IG, website, Google Business, leads","category":"Work","prompt":"Clean up my business presence: Instagram, website, and Google Business profile; then find hot local leads in my area.","description":null,"story":"Small-business owner used Muse to clean up their Instagram, website and Google Business profile; now using it to find hot local leads.","sourceHandle":"@jamdalu (Dave Luciew, small-business owner, X, 2026-09-15; enthusiastic tone, no sponsorship disclosed — review before reposting)","sourceUrl":"https://x.com/jamdalu/status/2099884060898169288","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:horus-heresy-book-hunt","title":"Horus Heresy book hunt across marketplaces","category":"Shopping","prompt":"Watch for [collectible] I don't own across [Marketplace, eBay, Amazon, halfpricebooks] several times a day and alert me when one shows up.","description":null,"story":"Set up Muse to search for Horus Heresy books they doesn't already own, scanning Facebook Marketplace, eBay, Amazon, halfpricebooks and other sources several times a day.","sourceHandle":"@KingRomstar (X, 2026-09-15)","sourceUrl":"https://x.com/KingRomstar/status/2099905773983994321","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:mychart-hospital-billing","title":"Muse logged into MyChart to fight hospital billing","category":"Health","prompt":"Handle my hospital billing dispute in MyChart: [details]; keep me posted and get approval before any payment.","description":null,"story":"Stressed by the hospital billing department, they logged Muse into MyChart so the agent dealt with everything directly.","sourceHandle":"@Mycroft779 (X, 2026-09-15)","sourceUrl":"https://x.com/Mycroft779/status/2099905545088213272","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:vegan-restaurant-fail","title":"Booked a vegan restaurant by accident (fun fail)","category":"Food","prompt":"Book a restaurant for [date/people]; always flag cuisine type and dietary-relevant details before I confirm.","description":null,"story":"Muse booked a restaurant that turned out to be vegan; when they playfully said it should have warned them, it defused with a rabbit emoji. A fail-story that shows personality.","sourceHandle":"@AvalosSway (X, 2026-09-15)","sourceUrl":"https://x.com/AvalosSway/status/2099991763989716996","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:car-insurance-800-saved","title":"$800/year car insurance saved, old policy cancelled","category":"Money","prompt":"Find me cheaper car insurance with identical coverage; handle the cancellation and the new signup once I approve the savings.","description":null,"story":"Muse saved them $800/year on car insurance and helped with the cancellation of the old policy plus the new signup.","sourceHandle":"@farmerinsights (X, 2026-09-15)","sourceUrl":"https://x.com/farmerinsights/status/2099883254752977099","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:sas-reimbursement-found","title":"SAS already reimbursed food fees; found the missed email","category":"Money","prompt":"Look through all my [airline] emails and sort out this unresolved refund/reimbursement: [details].","description":null,"story":"Family of 6, SAS cancelled their Oslo flight; user overpaid for rebooking and prepaid food fees weren't transferred. Asked Muse to handle it; Muse searched all SAS emails and found the airline had already reimbursed the food fees on the same day — a notification the user had missed, resolving months of uncertainty without any claim filing.","sourceHandle":"@yalok (Hacker News, 2026-09-09)","sourceUrl":"https://news.ycombinator.com/item?id=49619764","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:concert-tickets-price-watch","title":"$70 concert tickets vs $90, daily price watch","category":"Shopping","prompt":"Find cheaper [concert] tickets than Ticketmaster; then check once a day for a week and notify me of any price changes.","description":null,"story":"Muse found $70 concert tickets instead of Ticketmaster's $90 and set up a daily price-change watch for a week.","sourceHandle":"@meowtimemania (Hacker News, 2026-09-09)","sourceUrl":"https://news.ycombinator.com/item?id=49622982","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:dinner-tickets-before-rival","title":"Dinner tickets booked before the rival assistant replied","category":"Food","prompt":"Get me tickets to [dinner/event] tomorrow: find the ticketing link, check my calendar, and book it.","description":null,"story":"Muse found a hidden ticketing link, checked the user's calendar, and booked dinner tickets — before rival assistant Instinct even replied.","sourceHandle":"Alex, host of ThursdAI (independent AI newsletter/podcast, 2026-09-10)","sourceUrl":"https://sub.thursdai.news/p/openai-solves-navier-stokes-metas","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:google-fiber-cancellation-call","title":"Called Google Fiber and cancelled 3 Gig service","category":"Home","prompt":"Call [ISP] and cancel my [plan]: get past the retention rep, confirm the cancellation and final bill, and report the confirmation.","description":null,"story":"Muse placed a phone call to Google Fiber and canceled their Home 3 Gig internet service — the kind of call companies make painful with retention reps.","sourceHandle":"@wesfinley (Wes Finley, Facebook, 2026-09-12, 256 followers, non-Meta)","sourceUrl":"https://www.facebook.com/4942119/posts/pfbid0wH47U7MiZiMPmc8cAXkYnUkH6HYG2kwTBLpTVX58gjsJ8Y7tZZGRLqNrHVRvMiEul/","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:optimum-sales-call-fiber-coax","title":"Phone agent called Optimum sales about fiber vs coax","category":"Admin","prompt":"Call Optimum sales at 1-866-465-7411 on my behalf as [your name]. Ask: (1) is the 1 Gig service fiber or coax at my address, and (2) why does the label show 38 Mbps up? Take notes and report back with their answers when the call wraps.","description":null,"story":"Eli instructed Muse to have its phone agent call Optimum sales at 1-866-465-7411 on their behalf, posing as The user, to ask whether the 1 Gig service is fiber or coax and why the label shows 38 up — and to report back when the call wraps. They posted the screenshot celebrating that the agent-assisted call was set up.","sourceHandle":"@eliweisss (X)","sourceUrl":"https://x.com/eliweisss/status/2100006576564085093?s=20","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:game-tickets-eye-metrics","title":"Game tickets, eye appointment, IG metrics","category":"Fun","prompt":"Get me tickets to the [Georgia Tech–Stanford] game, book an eye appointment for [date], and analyze my Instagram metrics for the last month. Work over the next few days and report each outcome.","description":null,"story":"Selfie video walking in San Francisco, on-screen text \"My New Obsession\". They used Muse over several days for: securing tickets to the upcoming Georgia Tech–Stanford football game, booking an eye appointment, and analyzing their Instagram metrics. Mentions they are on the free tier and nearing the weekly limit. (Found via logged-out sweep; the story is a faithful summary of the post, not verbatim text.)","sourceHandle":"@baxate_carter (Instagram, 2026-09-15, 320K followers)","sourceUrl":"https://www.instagram.com/reel/DdUzGvDv-qA/","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:rosie-inbox-cleanup-newspaper","title":"'Rosie' cleans thousands of emails, unsubscribes, builds a daily newspaper","category":"Admin","prompt":"Clean up my inbox: delete all the newsletter and marketing emails (e.g. Mindvalley, HighLevel, Medium, The Athletic), unsubscribe me from newsletters I don't read (TLDR, Zillow, horoscope), and build me a daily newspaper pulling from my emails and Facebook sources.","description":null,"story":"Screen-recorded demo of their personal agent \"Rosie\" (named over options Atlas/Marigold/Rosie; custom redhead avatar). Rosie works in the background cleaning up thousands of emails (deleting Mindvalley, HighLevel, Medium, The Athletic emails), unsubscribing from newsletters (TLDR, Zillow, horoscope), and preparing to build a daily newspaper pulling from their personal and Facebook sources. Also posted on their Instagram. (Found via logged-out sweep; the story is a faithful summary of the post, not verbatim text.)","sourceHandle":"Tracey Bauer (@marintlc, Facebook, 2026-09-13)","sourceUrl":"https://www.facebook.com/reel/1221677160158345/","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:taco-tuesday-recipes-menu","title":"'Yamillita' plans Taco Tuesday: recipes, shopping list, menu","category":"Food","prompt":"I'm hosting Taco Tuesday and my fridge is empty. Give me two taco recipes (Chicken Tinga and Black Bean & Street Corn), a categorized shopping list for both, and a styled printable menu for my guests.","description":null,"story":"They volunteered to host Taco Tuesday with a nearly empty fridge. Their agent \"Yamillita\" gave their two taco recipes (Chicken Tinga and Black Bean & Street Corn), generated a categorized shopping list, and produced a styled printable menu for their guests. Video shows their unpacking groceries, cooking, and sending the menu back to the AI with thanks. (Found via logged-out sweep; the story is a faithful summary of the post, not verbatim text.)","sourceHandle":"@menjiethb (Menjie, Instagram, 2026-09-15, 540 followers)","sourceUrl":"https://www.instagram.com/reel/DdU3XLaOv2j/","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:jarvis-unfollow-checks-reels","title":"'Jarvis': weekly unfollow checks, scheduled reels","category":"Work","prompt":"Every Sunday at 9am, compare my Instagram followers, identify who unfollowed me this week with profile links, and report the summary. Also: schedule my food reels with auto-generated captions and trending hashtags.","description":null,"story":"Their agent \"Jarvis\" is set up to run a weekly Sunday 9am check comparing followers and identifying who unfollowed, with profile links — plus scheduling food reels with auto-generated captions and trending hashtags. Shown via their own app screenshots. (Non-Meta tech creator; own completed setup, concrete recurring action.) (Found via logged-out sweep; the story is a faithful summary of the post, not verbatim text.)","sourceHandle":"@dollarmuthyam (Dollar Muthyam, Instagram, 2026-09-13)","sourceUrl":"https://www.instagram.com/reel/DdPY-pyxRf6/","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:marika-gutter-quote-hour-one","title":"77-year-old's agent 'Marika' got a gutter quote in hour one","category":"Home","prompt":"Get me a quote for [home project, e.g. new gutters]: find local providers, contact them, and bring me the best quote.","description":null,"story":"A Muse user's 77-year-old mom named their Muse agent \"Marika\" and put their on home projects — it secured a quote for new gutters within the first hour, on day one.","sourceHandle":"@petehalvorsen (Threads)","sourceUrl":"https://www.threads.com/@petehalvorsen/post/DdDUW8alLKk","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:muse-vs-wajo-bank-service","title":"Muse vs Wajo: find a bank with an uncommon in-branch service (honest caveat)","category":"Admin","prompt":"Find me a bank branch near [city] that offers [uncommon in-person service]; verify it is actually available at that specific branch.","description":null,"story":"A Muse user ran a head-to-head test of Muse vs rival agent Wajo: find a local bank branch offering a specific uncommon in-branch service (branch-dependent, not available online). Honest caveat — Wajo won this round — but a genuine Muse usage story on a complex real-world task.","sourceHandle":"@anhad.j.singh (Threads)","sourceUrl":"https://www.threads.com/@anhad.j.singh/post/DdTbrNoG5qS","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:clip-every-grocery-coupon","title":"Clip every coupon in the grocery app","category":"Shopping","prompt":"Log into my [grocery store] account and clip every available coupon for me.","description":null,"story":"A Muse user gave Muse their grocery-store login and had it clip every coupon in the app — the tedious job they used to do by tapping the clip button for 2–3 minutes so they would never miss a saving.","sourceHandle":"WillyF (Hacker News)","sourceUrl":"https://news.ycombinator.com/item?id=49626889","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:recurring-tasks-food-prefs","title":"Recurring tasks scheduled; food preferences set for restaurant picks","category":"Admin","prompt":"Schedule these repeating tasks for me: [list]. Also set my food preferences: [prefs] — when I name a restaurant, give me recommendations with costs and descriptions.","description":null,"story":"A Muse user gave Muse read access to Apple Reminders, scheduled repeating tasks (sci-fi movies every other morning, a 3pm EST stock-market summary), and permanently set their food preferences — now naming any restaurant in town gets accurate recommendations with costs and descriptions.","sourceHandle":"mark_l_watson (Hacker News)","sourceUrl":"https://news.ycombinator.com/item?id=49631236","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:agent-self-onboard-podcast","title":"Agent onboarded itself to DashClaw, made a podcast and a marketing video","category":"Fun","prompt":"Onboard yourself to my [open-source project], add a feature, then make a podcast about what you built and a short marketing video.","description":null,"story":"A Muse user asked Muse to blow them away: it onboarded itself to their open-source project DashClaw, built new features, then made a podcast about them and a marketing video as a test.","sourceHandle":"practicalsystem (Hacker News)","sourceUrl":"https://news.ycombinator.com/item?id=49619664","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:multi-gmail-detective-triage","title":"Multi-Gmail detective: move-out date, daily email triage, podcast quotes","category":"Admin","prompt":"Search all my Gmail accounts for [the date of X], using receipts and tickets as evidence. Set a daily 5am email triage with an evening nudge if I have not replied. Overnight, pull the ten most interesting quotes from these podcasts.","description":null,"story":"The a Muse user Deep Dives author searched four Gmail accounts at once to pin down their move-out date (found it in plane tickets within minutes), set a daily 5am email triage with a 6pm nudge if they had not replied, and had Muse process podcasts overnight into ten interesting quotes. (Their failed trials — Airbnb stopped before payment, Amazon cancelled over slow delivery, DoorDash stuck on login — were excluded as incomplete.)","sourceHandle":"MBI Deep Dives (blog)","sourceUrl":"https://www.mbi-deepdives.com/muse/","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:pcp-zocdoc-followup-nudges","title":"Find a PCP that takes my insurance — with follow-up nudges","category":"Health","prompt":"Find PCPs near me that take my insurance [plan name]: search Zocdoc, rank the options, and if the one I pick can't be booked online, follow up with me the next day with gentle nudges until I call and book it.","description":"Found in-network PCPs on Zocdoc, handed off when online booking wasn’t available, then nudged the next day until the appointment was booked.","story":"A Muse user asked Muse to find PCPs that take their insurance. It searched Zocdoc and gave them options; when the one they chose couldn't be booked online, Muse handed off — then followed up with gentle nudges the next day until they called and booked the appointment himself.","sourceHandle":"@vasanthroughput","sourceUrl":"https://x.com/vasanthroughput/status/2100038958596153575","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:internet-bill-180-unclaimed-money","title":"Cut my internet bill $180/yr and found forgotten money","category":"Money","prompt":"Audit my monthly bills starting with internet: call or chat support and negotiate the rate down (I've authorized you). Then search my accounts for any free seats, credits, or unclaimed money I've forgotten about, and report what you found.","description":null,"story":"A Muse user: in exactly one week with Muse, it cut their internet bill by $180 a year, booked free seats they wouldn't have thought to ask about, found unclaimed money they'd forgotten existed, and explained Meta engineer pay like an accountant.","sourceHandle":"@zuhayeer","sourceUrl":"https://x.com/zuhayeer/status/2099933072389267857","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:made-70-planned-sf-trip","title":"Made me $70 and planned my whole SF trip","category":"Money","prompt":"Plan my entire trip to [event] in [city] on [dates]: find ways to make or save money along the way, and organize everything — itinerary, bookings, notes — in one place.","description":null,"story":"A Muse user: \"not a fan of @meta and hate the name @Muse but my hips dont lie and its already: made me $70 bucks, planned out my entire sf tech week trip, replaced my old PKMS system as a one-stop dropbox.\"","sourceHandle":"@jay_cbh","sourceUrl":"https://x.com/jay_cbh/status/2100026258101023100","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:rental-prospects-texted-own-number","title":"Texts rental prospects from my own number","category":"Work","prompt":"Monitor my Facebook Marketplace rental inquiries: reply with a clear call to action and a link to schedule a tour and apply. When a prospect shares their phone number, text them from my number to keep the conversation moving.","description":null,"story":"A Muse user: when a Facebook Marketplace rental inquiry comes in, their Muse responds with a CTA and a link to schedule a tour and apply — then, once the prospect shares their cell number, texts them as them from their own number.","sourceHandle":"@ChrisTwiggsPM","sourceUrl":"https://x.com/ChrisTwiggsPM/status/2099830026447278089","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:sewer-emergency-tenant-comms","title":"Ran tenant comms during a sewer emergency","category":"Work","prompt":"It's an after-hours maintenance emergency: [describe the issue]. Handle all tenant text communications, log notes and the maintenance request in Buildium and my CRM, and add follow-ups to my calendar and task list. Check with me before calling anyone or making decisions.","description":null,"story":"A Muse user: after-hours toilet backup, clogged sewer line, emergency drain guy couldn't clear it. \"Meta's @Muse handled the entire tenant communications (text) side of it, updated notes and maintenance request/logs in Buildium, tenant text log in Buildium and my CRM, and added follow ups to my calendar and task list.\"","sourceHandle":"@ChrisTwiggsPM","sourceUrl":"https://x.com/ChrisTwiggsPM/status/2098979199377678846","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:dependent-care-fsa-claim","title":"Filed my Dependent Care FSA claim end to end","category":"Money","prompt":"File my Dependent Care FSA claim end to end: search my Gmail for the receipt, log into my FSA account, and file the claim correctly. Show me the confirmation when it's submitted.","description":"Searched Gmail for the receipt, logged into the FSA account, and filed a Dependent Care FSA claim end to end with only prompts from the user.","story":"A Muse user: \"Just had @Muse submit a Dependent Care FSA claim end to end with no involvement from me besides prompts. It searched my Gmail for the receipt, logged into my FSA account and filed the claim correctly.\"","sourceHandle":"@RE_Notion","sourceUrl":"https://x.com/RE_Notion/status/2099932324964217205","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:municipal-streetlight-reports","title":"Filed street-light reports with the city","category":"Admin","prompt":"File public-improvement reports for me: [broken street light at location, etc.]. Do all the bureaucratic form-filling with the local municipality and report what's fixed or in process.","description":null,"story":"A Muse user: \"Already got a few minor things fixed or in process in the community and this Muse agent did most of the bureaucratic work lol. Fix a street light here, problem over there and it starts to quickly add up.\"","sourceHandle":"@wanderingdave","sourceUrl":"https://x.com/wanderingdave/status/2099890386546384920","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:dmv-release-of-liability","title":"Filed my DMV release of liability after selling my car","category":"Admin","prompt":"I just sold my car [details]. Check what post-sale paperwork I still owe (e.g. the DMV release of liability), fill out the forms with my details, and submit them. Confirm when filed.","description":null,"story":"A Muse user: after selling their car, Muse reminded them they needed to file the release-of-liability form with the DMV — \"then went ahead and filled up the form with some inputs from me and submitted it — all while I was in the park with kids!!\"","sourceHandle":"@bpalit","sourceUrl":"https://x.com/bpalit/status/2098976042874765641","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:dresses-private-instagram-style","title":"Found event dresses from my private Instagram","category":"Shopping","prompt":"Find dresses for [event] based on my aesthetic and body type from my Instagram posts and stories: show me what I've actually worn to similar events as reference, then find matching dresses I can buy now.","description":null,"story":"A Muse user asked Muse to find dresses for an event based on their aesthetic and body type from their Instagram photos. Muse used its direct Instagram integration — including private posts and forgotten past stories they wouldn't have thought to provide — to match dresses to what they'd actually worn.","sourceHandle":"@valskau","sourceUrl":"https://x.com/valskau/status/2100068032550756410","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:jeweler-called-wedding-rings","title":"Muse proactively called a jeweler about our rings","category":"Shopping","prompt":"I've been looking into [wedding rings] for a few days. Call the jeweler for me and check pricing and turnaround time — ask my permission before placing the call, then report exactly what they said.","description":null,"story":"A Muse user: \"Muse called a jeweler for me earlier to check on pricing and turnaround time for my wife and I's rings. It just worked. It actually went out of its way to be helpful — it asked me if I wanted it to make the call, without me prompting it. All it had was the context to know that I was looking into this from a few days earlier.\"","sourceHandle":"@Wiiintermute","sourceUrl":"https://x.com/Wiiintermute/status/2100056346137612406","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:pinterest-taste-profile-cooking-coach","title":"Taste profile from 180 Pinterest pins + bilingual cooking coach","category":"Food","prompt":"Review my Pinterest recipe board of [180+] pins and distill my taste profile. Tonight, find a recipe that matches both the profile and the ingredients I have, and coach me through cooking it with my kid over voice — in [English and Spanish].","description":null,"story":"A Muse user asked Muse to review their 180+ pin Pinterest recipe board — it distilled their taste profile (vegetable-forward salads, Italian home cooking, Middle Eastern accents, baking, vegan/GF twists, Ottolenghi & Donna Hay, kid-friendly), found a veggie burger recipe matching the board and their ingredients, and coached their through cooking with their daughter via voice switching between English and Spanish.","sourceHandle":"@gabyyyre","sourceUrl":"https://x.com/gabyyyre/status/2100029235515560280","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:found-2500-returns","title":"Found me $2,500 in unclaimed returns","category":"Money","prompt":"Scan my recent purchases and accounts for unclaimed product returns and store credits I haven't collected. File the claims and report the total back to me.","description":null,"story":"A Muse user: \"My muse agent just found me $2500 in returns! (My wife had just ordered a couch)\"","sourceHandle":"@ChadHugghins","sourceUrl":"https://x.com/ChadHugghins/status/2100050590361407825","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:drivers-license-renewed","title":"Renewed my driver's license","category":"Admin","prompt":"Renew my driver's license [state, details]. Handle the renewal end to end and confirm when it's done.","description":null,"story":"A Muse user: \"@Muse renewed my drivers license. Win.\"","sourceHandle":"@themichelinmin","sourceUrl":"https://x.com/themichelinmin/status/2099702598379188513","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:indigo-ticket-checked-in","title":"Booked my IndiGo ticket and checked me in","category":"Travel","prompt":"Book my [IndiGo/airline] flight to [destination] on [date] and check me in when the window opens. Send me the boarding pass and booking confirmation.","description":null,"story":"A Muse user: \"Have you tried muse, so far the only one which successfully booked a ticket and checked me in a indigo\"","sourceHandle":"@abhinavlal","sourceUrl":"https://x.com/abhinavlal/status/2099689446753083806","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:portfolio-balances-timestamps","title":"Pulled my portfolio balances — with honest timestamps","category":"Money","prompt":"Pull the balances from my portfolio accounts [details] and comment on the movements. Always state the timestamp on the data and remind me it isn't exactly real time.","description":null,"story":"A Muse user gave Muse their portfolio account info. It pulled balances, commented on portfolio movements — and made sure to mention the timestamp on the data and call out that it isn't exactly real time.","sourceHandle":"@vasanthroughput","sourceUrl":"https://x.com/vasanthroughput/status/2100039783238250779","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:agencies-researched-emailed","title":"Researched firms and emailed them on my behalf","category":"Work","prompt":"Find [firms/agencies] in [region] matching these requirements: [requirements]. Research each candidate's background and previous work, then email the best ones on my behalf. Show me drafts before sending.","description":null,"story":"A Muse user: \"one of the tasks i get muse to do is find xx firms or agency in xx region based on my requirements, and get their background and their previous work. it found several candidates and emailed them all on my behalf. wild.\"","sourceHandle":"@0xAmazes","sourceUrl":"https://x.com/0xAmazes/status/2099880318140608578","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:83-k1s-hunted-down","title":"Hunted down 83 missing K-1s","category":"Money","prompt":"I'm missing [83] K-1s for taxes. Search my email to figure out which are actually missing, forward the ones already in my mailbox to my accountant, and for the rest track down the issuer from last year's K-1 and email them for this year's — CC my accountant.","description":null,"story":"A Muse user: \"I was missing 83 K-1s a few hours ago. I had it search my email to figure out which ones were actually missing, find the ones that were sitting in my mailbox that I had missed, and forward them to my accountant. For the rest, it tracked down whoever sent each 2024 K-1, emailed them for the 2025 version, and CC'd my accountant.\"","sourceHandle":"@justinmateen","sourceUrl":"https://x.com/justinmateen/status/2097551882931818773","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:paris-flight-checkins","title":"Handled my Paris flight check-ins","category":"Travel","prompt":"Handle my flight check-ins for [Paris trip, flights]: schedule reminders, fill in the forms, and track the confirmations. I want zero follow-ups.","description":null,"story":"A Muse user: \"I asked Muse to handle my Paris flight check-ins once. It scheduled reminders, filled the forms, tracked confirmations. Zero follow-ups from me.\"","sourceHandle":"@0xnagendra","sourceUrl":"https://x.com/0xnagendra/status/2098627353240879414","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:store-delivery-dashboard","title":"Built our store's delivery dashboard in an afternoon","category":"Work","prompt":"Build a delivery dashboard for my store: pipeline tracking, packing checklists, subscription imports, overdue alerts, and stop batching. No code — make it something I can run myself.","description":"Wife built a store delivery dashboard with Muse in an afternoon — pipeline tracking, packing checklists, subscription imports, overdue alerts, stop batching — no code or IT.","story":"A Muse user: \"My wife built our store's delivery dashboard with Muse. No code, no IT department, pipeline tracking, packing checklists, subscription imports, overdue alerts, stop batching. A real business problem solved in an afternoon.\"","sourceHandle":"@thekostadinoff","sourceUrl":"https://x.com/thekostadinoff/status/2099984934077096119","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:kids-school-portraits-drive","title":"Bought the kids' school portraits and organized them in Drive","category":"Family","prompt":"Navigate [the school photos website], purchase my kids' portraits, and organize them in Google Drive. Confirm the order before you pay.","description":null,"story":"A Muse user: their Muse \"navigated a painful school photos website, purchased my kids' portraits, then organized them in Google Drive\" — and reacted to their thanks with a sandwich emoji instead of thumbs up.","sourceHandle":"@JackK","sourceUrl":"https://x.com/JackK/status/2100026697349550376","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:pods-container-576-under","title":"Booked my mom's PODS container $576 under their quote","category":"Home","prompt":"Research and book a PODS moving container for my mom [details]: negotiate under their quote if you can. Also set up a fare sweep that pings me if any of my upcoming flights drop below what I paid.","description":"Booked mom’s PODS move $576 under their quote, built a 2025 tax-doc tracker and found missing K-1s, plus ran a two-week Thanksgiving fare sweep.","story":"A Muse user: \"Things I did with my @muse today: — Researched and got my mom's PODS container booked ($576 under their quote) — Built my 2025 tax doc tracker so 2026 me doesn't hate 2025 me — Set up a fare sweep that'll ping me if any of my upcoming flights drop below what I paid.\"","sourceHandle":"@benparr","sourceUrl":"https://x.com/benparr/status/2100012740698083819","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:cdl-class-a-prep","title":"Planned my CDL Class A license, 20 minutes a day","category":"Admin","prompt":"Help me get my CDL Class A license: tell me exactly what I need (e.g. a DOT physical), and plan it out at 20 minutes a day. Track my progress.","description":"Mapped a CDL Class A path: DOT physical requirement, CDL Prep app, a 20-min/day study plan, and nearby ELDT training providers.","story":"A Muse user: \"Using @Muse to achieve something I've wanted to do all year! Get my CDL class A License! Informed me that I need a DOT physical.\" They mapped out the path at 20 minutes a day.","sourceHandle":"@ChrisUniverse","sourceUrl":"https://x.com/ChrisUniverse/status/2100059464711749685","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:etsy-listing-mom-bag","title":"Built the whole Etsy listing for my mom's crocheted bag","category":"Money","prompt":"Build a complete Etsy listing for [my mom's crocheted bag]: product photos, listing copy, tags, and a video. Price it at [$64] and publish it.","description":null,"story":"A Muse user: \"Challenge accepted: making real money with @Muse. Mom crocheted the bag, Muse built the whole Etsy listing in an hour — photos, copy, tags, video. Live at $64. I'll post every sale, win or lose.\"","sourceHandle":"@ohkamisli","sourceUrl":"https://x.com/ohkamisli/status/2100060923222516156","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:infinite-zoom-temple-video","title":"Built an infinite-zoom temple video for my parents' festival","category":"Fun","prompt":"Build an infinite-zoom video (like zoomquilt.org) of [South Indian temple walls] for [my parents' Dasara Kolu]. Make it a smooth continuous zoom loop.","description":null,"story":"A Muse user: \"@muse built an infinite-zoom video (like zoomquilt.org) of South Indian temple walls for my parents' Dasara Kolu.\"","sourceHandle":"@akashramzz","sourceUrl":"https://x.com/akashramzz/status/2100039546859893127","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:pebble-ring-webhook-tailscale","title":"Wired my Pebble ring to a private webhook via Tailscale","category":"Work","prompt":"Wire my [Pebble ring] double-press to a private webhook endpoint: write a script that polls it every minute over my Tailscale Tailnet so audio/transcript notes land straight in my workflow.","description":null,"story":"A Muse user: a double-press on their Pebble Index 01 ring sends audio/transcript to an internal webhook; Muse created a script polling the endpoint every minute — and since Muse can join a Tailscale Tailnet, the endpoint stays private. \"Pretty magical!\"","sourceHandle":"@orville_sashhhh","sourceUrl":"https://x.com/orville_sashhhh/status/2098242171971535000","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:60-estate-listings-photos","title":"Created 60 priced listings from my stepfather's estate photos","category":"Family","prompt":"From these photos of my stepfather's belongings, research each item's value and create priced listings for them across [marketplaces]. Help us clear the home for sale, one batch at a time.","description":null,"story":"A Muse user: \"My stepfather passed away this year. Hoarded obscure but valuable belongings for two decades. Sister is overwhelmed trying to sell items to clear the home for sale. Muse created 60 priced listings from photos across platforms in 2 minutes. 30000 to go.\"","sourceHandle":"@andrebaach","sourceUrl":"https://x.com/andrebaach/status/2097778803070378387","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:weekly-meal-plan-fridge","title":"Planned the week's meals — printable for the fridge","category":"Food","prompt":"Plan our meals for the week: balanced, kid-friendly where it counts, using what we already have. Then design it as a nice printable menu for the fridge.","description":null,"story":"A Muse user: \"@Muse helped me plan our meals for the week and even helped make it look nice so that we print it and put it on the fridge.\"","sourceHandle":"@gravity0890","sourceUrl":"https://x.com/gravity0890/status/2099301530444902410","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:1099s-k1s-engagement-letter","title":"Gathered my 1099s/K-1s and drafted the accountant's engagement letter","category":"Money","prompt":"Gather my 1099s and K-1s from email and files, submit them to my accountant, and draft this year's engagement letter as a PDF for me to sign.","description":null,"story":"A Muse user: \"muse helped me gather and submit 1099s and k1s to my accountant and even prepared the annual engagement letter pdf for me to sign\"","sourceHandle":"@mattsilv","sourceUrl":"https://x.com/mattsilv/status/2098957826617933997","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:zoo-day-itinerary","title":"Turned a half-baked zoo idea into a real itinerary","category":"Family","prompt":"Turn my half-baked zoo day idea into a real itinerary: route, timing, animal stops, and a packing list. Keep it simple and doable.","description":null,"story":"A Muse user: \"Handed @Muse a half baked zoo day idea. It turned it into an actual itinerary lol Route, timing, animal stops, packing list. The boring stuff that actually helps.\"","sourceHandle":"@gerardocasta711","sourceUrl":"https://x.com/gerardocasta711/status/2100064697567351212","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:unclaimed-property-4700","title":"Found me $4,700 in unclaimed property","category":"Money","prompt":"Search state unclaimed-property databases for anything under my name [name, states lived in]. File the claims and tell me the total you found.","description":null,"story":"A Muse user: \"$META muse just found me $4,700 in unclaimed property. Wow.\"","sourceHandle":"@realSamAdvani","sourceUrl":"https://x.com/realSamAdvani/status/2100002341999276231","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:found-money-photo-proof","title":"The money Muse found me is already here","category":"Money","prompt":"Find any money I'm owed — forgotten balances, refunds, unclaimed property — and collect it. Show me proof when it lands.","description":null,"story":"A Muse user: \"The money that @muse found me already here.\" (with photo proof)","sourceHandle":"@attilah","sourceUrl":"https://x.com/attilah/status/2099874493158289584","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:office-chair-20-miles","title":"Found me an office chair within 20 miles","category":"Shopping","prompt":"Find me [an office chair] within 20 miles of me: local stores, marketplaces, and classifieds. Show me the best options with prices and locations.","description":null,"story":"A Muse user: \"Muse is so good right now, it found me an office chair within 20 miles…\"","sourceHandle":"@Sambobsgarage","sourceUrl":"https://x.com/Sambobsgarage/status/2099689098042614028","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:bay-area-demo-slots","title":"Found demo slots for my startup — 2 secured, aiming for 10","category":"Work","prompt":"Find me demo slots in the Bay Area for my startup [description]: pitch events, demo days, and founder meetups. Keep hunting until we hit [10] good options and track the ones I've secured.","description":"Found Bay Area demo slots for a founder (two so far, aiming for ten).","story":"A Muse user: \"I asked @Muse to find me demo slots in the Bay Area and it found me 2 already, aiming for 10. Pretty useful for founders.\"","sourceHandle":"@s1dhdharth","sourceUrl":"https://x.com/s1dhdharth/status/2099341099290570954","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:exact-laptop-under-price","title":"Found the exact laptop under my price in 5 minutes","category":"Shopping","prompt":"Find me the exact [laptop model] under [my price]: check every retailer, open-box, and refurbished option. Buy nothing — just bring me the best deal in about 5 minutes.","description":null,"story":"A Muse user: \"It literally found me the exact laptop I was looking for under the price I needed in about 5 minutes or so. I'm seriously impressed with @Muse\"","sourceHandle":"@gerardocasta711","sourceUrl":"https://x.com/gerardocasta711/status/2099325819764052409","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:family-whatsapp-school-triage","title":"Triage for the family: kids' and school emails","category":"Family","prompt":"Sit in our family WhatsApp chat and triage the kids' and school emails: catch us up and flag anything that needs attention. Share one summary both of us can read.","description":null,"story":"A Muse user wants Muse in a WhatsApp group chat with their wife: \"we have them catch up on various kids and school emails and let us know when something needs attention.\"","sourceHandle":"@nadavwiz","sourceUrl":"https://x.com/nadavwiz/status/2099914424588939491","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:charity-wix-edits","title":"Made my charity's webpage edits in Wix","category":"Work","prompt":"Scrub my email for webpage edits [my charity] wants made, log into Wix, and make them. Perfect first pass — show me what you changed.","description":null,"story":"A Muse user: \"I just used @muse to scrub my email for webpage edits my charity wanted to make and has it log into @Wix and make them. It did it perfectly and I got to spend time with my daughter. This is the future.\"","sourceHandle":"@brwod22","sourceUrl":"https://x.com/brwod22/status/2099978011583951341","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:background-youtube-summaries","title":"Runs my background automations: video summaries, metrics, product hunting","category":"Work","prompt":"Run as background automation, not a chatbot: send me YouTube video summaries on WhatsApp so I can decide what's worth watching, keep a baseline of [my metrics], and hunt products with strict filters. Ping me only when something matters.","description":null,"story":"A Muse user: \"Been using AI less as a chatbot and more as background automation. @Muse current use cases: YouTube video summaries sent to WhatsApp (so I can decide whether a video is worth watching in full), keeping a baseline of several metrics, and product hunting with strict filters.\"","sourceHandle":"@aleti_sunil","sourceUrl":"https://x.com/aleti_sunil/status/2100067639036965017","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:sent-all-emails-today","title":"Sent all of my emails today. Every single one.","category":"Work","prompt":"Draft and send all of my emails for today: check my inbox, threads, and to-dos, write every reply needed, and send them. Show me a summary of what went out.","description":null,"story":"A Muse user: \"Muse sent all of my emails today. Every single one. @Muse\"","sourceHandle":"@adamvietDSM","sourceUrl":"https://x.com/adamvietDSM/status/2100064416892858568","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:pokemon-card-ebay","title":"Found my son's Pokémon card is worth ~$200 and listed it on eBay","category":"Family","prompt":"With my kid watching: identify which of their Pokémon cards are valuable, look up the real prices, and list the valuable ones on eBay. Explain what you're doing step by step — it's their first time seeing an agent work.","description":null,"story":"A Muse user: \"Muse helped my son identify one of their random Pokémon cards is actually worth ~$200 and then listed it on eBay! It was their first time seeing an agent with its own computer. Opened the browser view so they could see agent click around; explained how the vault works.\"","sourceHandle":"@pejmanjohn","sourceUrl":"https://x.com/pejmanjohn/status/2099186571010617392","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:son-internship-search-prompt","title":"My son's internship search runs itself now","category":"Family","prompt":"Run my internship search: daily sweeps of new postings, an application tracker, a certification roadmap, and weekly reviews. I want to check in weekly and otherwise let it run.","description":null,"story":"A Muse user: \"I gave my son a copy-paste prompt so their own Muse runs their internship search: daily sweeps, application tracker, cert roadmap, weekly reviews. They runs it himself now. I just pointed and stepped back.\"","sourceHandle":"@CarpeDiemMoose","sourceUrl":"https://x.com/CarpeDiemMoose/status/2099215973098140057","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:lego-flashcard-app","title":"Built a Lego-themed flashcard app for sight words","category":"Family","prompt":"Make an interactive flashcard app for my kid's 1st-grade sight words [the 8 lists], themed around what they loves [Legos]. Make it fun enough that they'll actually want to drill them daily.","description":null,"story":"A Muse user: \"my son enjoys talking to @muse and it's noticed they likes legos, so when i asked it to make an interactive flash card app for my son's sight words for 1st grade, it made it lego themed. and now we've mastered all 8 lists just this week because it's fun.\"","sourceHandle":"@amyers","sourceUrl":"https://x.com/amyers/status/2098411834747298292","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:tires-fb-marketplace","title":"Listed my old tires on FB Marketplace — tracks buyers for me","category":"Money","prompt":"List my [old tires] on Facebook Marketplace: photos, description, fair price. Then track buyers via the Messenger connector and keep me updated on who's serious.","description":null,"story":"A Muse user: \"I just had @Muse help me list some old tires I had sitting around in @facebook marketplace. Not a bad experience at all, @Muse is now tracking buyers via @messenger connector.\"","sourceHandle":"@gerardocasta711","sourceUrl":"https://x.com/gerardocasta711/status/2100012778400423997","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:car-service-appointment","title":"Booked my car service appointment","category":"Admin","prompt":"Book a service appointment for my car [make/model]: find a good shop or the dealer, pick a slot that works with my calendar, and book it.","description":null,"story":"A Muse user: \"I'm excited to see muse is public now! I've been using it for a while for things like meal planning and vacation planning. It even booked me a service appointment for my car.\" Their assistant is called r2.","sourceHandle":"@rvabdn","sourceUrl":"https://www.threads.com/@rvabdn/post/DdDCDqQjJQg","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:award-space-watcher-rewards","title":"Set up an award-space watcher and rewards trackers on day one","category":"Travel","prompt":"Set up my travel-rewards stack: an award-space watcher for my flights [routes], weekly transfer-bonus updates, and a credit card rewards tracker. Alert me the moment a good redemption opens up.","description":null,"story":"A Muse user: \"My first day with Muse and it's already winning me over. I set up an award-space watcher for my flights, weekly transfer bonus updates, a credit card rewards tracker … I know I'm just scratching the surface but having everything in one ecosystem is fabulous.\"","sourceHandle":"@elona","sourceUrl":"https://www.threads.com/@elona/post/DdIKiuFlu8M","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:rivian-r2-dashboard","title":"Built my personal Rivian R2 telemetry dashboard","category":"Work","prompt":"Build me a personal telemetry dashboard for my [Rivian R2]: log every trip with a map view, monitor battery health, and track idle drain. Poll every few minutes.","description":null,"story":"A Muse user: \"Built my personal Rivian R2 dashboard with Muse AI (I named them yoyo) in a few days. It logs every trip with map view, monitors battery health, and tracks how much battery idle drain. It polls every 3 min, drops to 1 min while driving.\"","sourceHandle":"@firerock31","sourceUrl":"https://www.threads.com/@firerock31/post/DdU25bOGTi1","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:data-broker-scrub-franklin","title":"Scrubbed me off data-broker sites, no paid subscription needed","category":"Admin","prompt":"Scrub my phone number, email, and address off data-broker sites: find every listing, file the removal requests, and confirm they're gone. I don't want to pay for a subscription to do this.","description":null,"story":"A Muse user: \"protip: use muse.ai to scrub your phone, email, address off broker sites. worked really well. beats paying for a subscription to do the same thing\"","sourceHandle":"@franklin.py","sourceUrl":"https://www.threads.com/@franklin.py/post/DdUpWBHkhMW","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:inbox-100k-cleaned","title":"Cleaned my 100,000-email inbox — used 4% of my weekly limit","category":"Admin","prompt":"Clean out my inbox of [~100,000 emails]: unsubscribe me from marketing emails, organize what's left into folders, and keep it that way. Stay well under my weekly usage limit.","description":null,"story":"A Muse user: \"Muse cleaned out my email with almost 100,000 emails, unsubscribed from emails for me and organized my inbox…..all for FREE! Only used 4% of my weekly limit.\"","sourceHandle":"@xmariamoreirax","sourceUrl":"https://www.threads.com/@xmariamoreirax/post/DdUCbJ5IC9f","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:nyc-marathon-flights-704","title":"Booked my NYC Marathon flights — 3 tickets, $704","category":"Travel","prompt":"Run my trip logistics: book [3 flights for the NYC Marathon] at the best price, manage my family calendar around the trip, and send me a weekly events digest based on where my calendar says I'll be.","description":null,"story":"A Muse user: \"My experience with Muse — 5/5. A few days in, and Muse (mine's called Mambo) already runs my logistics: it booked my family's NYC Marathon flights — 3 tickets, $704 — manages our family calendar, and sends me a weekly AI/tech events digest based on wherever my calendar says I'll be.\"","sourceHandle":"@afelipesierra","sourceUrl":"https://www.threads.com/@afelipesierra/post/DdU7cJojVW6","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:espresso-machine-amazon","title":"Researched and bought my espresso machine on Amazon","category":"Shopping","prompt":"Recommend the right espresso machine for me [budget, needs], find it on Amazon, and buy it for me. Skip the sponsored listings.","description":null,"story":"A Muse user: \"Asked Muse for an espresso machine recommendation. The end state was that it found what I needed on Amazon and bought it for me. I never saw Google Search ads or Amazon sponsored item ads.\"","sourceHandle":"@jonmwiley","sourceUrl":"https://www.threads.com/@jonmwiley/post/DdHkPjyj4dn","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:drive-reorg-vs-gemini","title":"Reorganized my Google Drive — where Gemini refused","category":"Work","prompt":"Reorganize my Google Drive end to end: audit the mess, design a folder structure, and actually move, rename, and reorganize the files. Show me the plan before you touch anything.","description":null,"story":"A Muse user: \"I asked Meta's Muse and Google's Gemini to reorganize my Google Drive. @Muse: Sure thing. 'The full reorg is running now.' @googlegemini: 'I cannot directly modify, move, or rename files…' in GOOGLE Drive. Meta is leapfrogging other AI agents.\"","sourceHandle":"@wesblog","sourceUrl":"https://www.threads.com/@wesblog/post/DdPLdkWlGx-","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:use-case-website-built","title":"Had my agent build a whole use-case website","category":"Work","prompt":"Create a website that catalogs [Muse use cases people have posted on Threads]: scrape the posts, organize them by category, and publish the site at [domain].","description":null,"story":"A Muse user: \"I had my @muse agent create a website which contains use cases that folks have posted on Threads: https://muse.sbg.org (I borrowed this from a similar thing that runs on the old bird site)\"","sourceHandle":"@digram","sourceUrl":"https://www.threads.com/@digram/post/DdUTIeJmezU","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:workout-tops-amazon-purchase","title":"Picked workout tops and bought only the right ones","category":"Shopping","prompt":"Pick out [workout tops] for me in [size, style, colors], and before you place the order, check my cart for unrelated items and ask me about them. Only buy what I approve.","description":null,"story":"a Verge hands-on reviewer: \"I asked the AI agent to pick out workout tops for me based on a specific size, style, and colors. Before placing the order, Muse noticed I had other items in my cart and asked if I wanted to remove them. The consideration pleasantly surprised me. Once I signed off on the purchase, it proceeded to successfully buy only the tank tops.\"","sourceHandle":"Emma Roth (The Verge)","sourceUrl":"https://misryoum.com/metas-muse-ai-works-and-creeps-me-out","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:thursdai-mac-mini-website","title":"Live demo: bought a Mac Mini and built a whole website","category":"Work","prompt":"Shop for a [Mac Mini under $500] end to end and complete the purchase, then build me a whole website from scratch. Also set up heartbeat briefings and research what's trending on X in my niche.","description":null,"story":"the ThursdAI host, in a ~32-minute live test: \"Muse found and shopped for a 'Mac Mini under $500' end-to-end via Stripe Link payments (live demo), and Muse 'built me a whole website' plus set up heartbeat briefings and researched X trends.\"","sourceHandle":"Alex (ThursdAI)","sourceUrl":"https://www.youtube.com/watch?v=q_PKk3MiR9Y","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:tesla-model-yl-call","title":"Called a Tesla store to check the Model YL","category":"Shopping","prompt":"Call [the Tesla store] and ask if they have [a Model YL] I can look at. Give me the full transcript of the call afterwards.","description":null,"story":"A Muse user: \"Here is a real transcript of my @muse calling Tesla to see if they have a Model YL I could look at.\" A real voice-call transcript of the agent doing phone work.","sourceHandle":"@MattPRD","sourceUrl":"https://x.com/mattprd/status/2100034856839458953","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:data-broker-scrub-jwang","title":"Scrubbing my data off broker websites","category":"Admin","prompt":"Scrub my email, address, and phone number off every broker website: file the opt-out and removal requests and verify they're honored.","description":null,"story":"A Muse user: \"I've asked Muse to scrub my email, address, and phone number off any broker websites. It's handling the task seamlessly.\"","sourceHandle":"@jwang815","sourceUrl":"https://www.threads.com/@jwang815/post/DdU1YwCAZPB","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:salesperson-called-transcript","title":"Called a salesperson, got every answer, full transcript","category":"Work","prompt":"Call [the salesperson] for me and get every answer I need: [my questions]. Give me the full transcription for review afterwards.","description":null,"story":"A Muse user: \"Had @muse help me to call a sales person. It blew my mind — got every info I wanted and noted the entire transcription for review. That is a killer feature right there for not needing to make those calls anymore.\"","sourceHandle":"@leigong_","sourceUrl":"https://www.threads.com/@leigong_/post/DdPP4gwD_bD","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:office-calls-calendar-optimize","title":"Calls offices to schedule appointments against my calendar","category":"Health","prompt":"Call offices to schedule and reschedule my appointments based on my calendar: confirm [Quest Diagnostics] and cancel what no longer fits. Optimize my calendar to maximize my productivity and report every change with confirmation codes.","description":null,"story":"A Muse user: \"The best use of @muse is calling offices to schedule/reschedule appointments based on my calendar. I ask muse to manage my calendar and optimize it.\" Their screenshot showed their agent (\"Ramu\"/\"Brett\") confirming a Quest Diagnostics Mountain View appointment and cancelling a Sunnyvale appointment after calling the office.","sourceHandle":"@jaymin_jasoliya","sourceUrl":"https://www.threads.com/@jaymin_jasoliya/post/DdVGMwEmtyu","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:ryokan-japanese-call","title":"Called a Japanese ryokan — in Japanese","category":"Travel","prompt":"Call [the ryokan] in Japanese and handle my booking end to end. Report back exactly what they said.","description":null,"story":"A Muse user: \"Muse made a call in Japanese to a ryokan. Holy moly.\" The first multilingual voice-call find in the directory.","sourceHandle":"@rallat","sourceUrl":"https://www.threads.com/@rallat/post/DdT00EmGeaN","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:ai-subscription-audit","title":"Audited my AI subscriptions from Gmail: $380–475/mo on API alone","category":"Money","prompt":"Connect to my Gmail and audit all my subscriptions: categorize each one with its real monthly cost. Total it up and flag what I can cancel.","description":null,"story":"A Muse user: \"I connected Meta's new AI Agent Muse to my email and asked it to audit my subscriptions to see how much I'm spending on AI tools.\" Muse returned a categorized list: Midjourney $30, Leonardo $9, HeyGen $29, ElevenLabs $22, Granola $14, Make $34.12, VibeCode $50, Anthropic API ~$380–475. They called the total \"helpful and painful to see.\"","sourceHandle":"@anubis_ai_tech","sourceUrl":"https://www.instagram.com/reel/DdVtH5CoYkE/","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:baby-photo-restored-poster","title":"Restored the baby photo my daughter scribbled on — printed as a poster","category":"Family","prompt":"Restore this photo my daughter scribbled on: remove the pen marks, clean up the background, add a frame edge, and prepare it for printing as a large poster.","description":null,"story":"A Muse user: their Muse (\"Binky\") \"helped restore a photo my daughter destroyed with scribbles!\" — it removed the blue-pen scribbles, cleaned the background, added a frame edge, and they printed the restored portrait as a large poster.","sourceHandle":"@delight_sadina","sourceUrl":"https://www.instagram.com/reel/DdUm7h9K9rq/","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:junk-mail-opt-out","title":"Opted me out of all my junk mail","category":"Admin","prompt":"Get me opted out of all the junk mail being sent to my place: find the opt-out process for each sender and complete it.","description":null,"story":"A Muse user: \"Finally I'm getting opt-out from all junk mail being sent to my place by sending Muse to do it.\" Muse ran the opt-out process for every sender — and they reports the junk mail is finally stopping.","sourceHandle":"@carlas","sourceUrl":"https://www.threads.com/@carlas/post/DdU_7gqAJpr","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:sf-apartment-lease-negotiation","title":"Found my SF apartment, negotiated the lease, ran a parking RFP","category":"Money","prompt":"Find me an apartment in [San Francisco] meeting [my criteria]: negotiate the lease, check for dealbreakers like parking, and if one shows up, run an RFP bake-off across nearby buildings to solve it.","description":null,"story":"a venture capital partner (in an interview): \"I recount using Muse to find an apartment in San Francisco, negotiate the lease, discover the building lacked parking, and then run an RFP or bake-off across SF buildings to solve that.\"","sourceHandle":"Jaya Gupta (The Information interview)","sourceUrl":"https://www.instagram.com/reel/DdFVqxDkeUZ/","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:founder-homepage-redo-kevinli","title":"Redid their founder homepage in one morning, pushed to GitHub with Cloudflare auto-deploy","category":"Work","prompt":"Redo my homepage: update the links, show me a preview, and push to GitHub for auto-deploy via Cloudflare Pages. Rewrite my story to reflect [current work].","description":null,"story":"Kevin Li: had Muse redo their founder homepage in one morning — updated links (Instinct, Town, OpenClaw), generated a preview HTML, pushed to GitHub, with Cloudflare Pages auto-deploy so there is zero friction between \"i should update that\" and going live. Rewrote their story to reflect their AI grocer work.","sourceHandle":"@liveink (Kevin Li, X, 2026-09-16)","sourceUrl":"https://x.com/liveink/status/2100219436984848611","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:muse-snagged-a-sold-out-amtrak-ticket-that-someone-canceled-","title":"Muse snagged a sold-out Amtrak ticket that someone canceled. Verbatim: \"it helped me get a…","category":"Travel","prompt":"\"Watch for a canceled [Amtrak train/date] ticket and grab it the moment one becomes available. Confirm once it's booked.\"","description":null,"story":"Muse snagged a sold-out Amtrak ticket that someone canceled. Verbatim: \"it helped me get a soldout amtrak ticket that someone canceled\"","sourceHandle":"@shushushujing (Threads, 2026-09-11) — reply on the @tomerbar post","sourceUrl":"https://www.threads.com/@tomerbar/post/DdHfJUumgi9 (reply, no standalone URL)","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:very-impressed-by-how-muse-is-able-to-identify-patterns-from","title":"\"Very impressed by how Muse is able to identify patterns from credit card statements, anal…","category":"Money","prompt":"\"Analyze my credit card statements for spending patterns and pull my Amazon order history; flag what to cut, what to rebuy, and where I'm overspending. Report weekly.\"","description":null,"story":"\"Very impressed by how Muse is able to identify patterns from credit card statements, analyze Amazon order history via a browser and advice, and do tonnes of menial tasks. I wish I could talk to it without using an app on the phone though. Alexa integration for Muse will be perfect.\"","sourceHandle":"@sanketgupta247 (Threads, 2026-09-11)","sourceUrl":"https://www.threads.com/@sanketgupta247/post/DdLHMfcjjjc","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:asked-muse-to-call-his-health-insurance-and-his-doctor-to-bo","title":"Asked Muse to call their health insurance and their doctor to book an appointment; frames it a…","category":"Health","prompt":"\"Call my health insurance and my doctor's office and book me an appointment [details]. Confirm the date and time.\"","description":"Asked Muse to call health insurance and the doctor to make an appointment.","story":"Asked Muse to call their health insurance and their doctor to book an appointment; frames it as a take — if Muse handles that, they'll happily order their own food.","sourceHandle":"@mrboolean01 (mrboolean, X, 2026-09-10; borderline — outcome unconfirmed)","sourceUrl":"https://x.com/mrboolean01/status/2098015743384146237","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:on-a-long-boston-layover-his-agent-already-knew-his-cards-an","title":"On a long Boston layover, their agent already knew their cards and connecting gates and made t…","category":"Travel","prompt":"\"I landed with a long layover in [airport]: check my cards for lounge access, confirm my connecting gate, and plan the wait so I'm back at the gate on time.\"","description":"On a Boston layover, used known cards and connecting gates to make a 3-hour wait less painful.","story":"On a long Boston layover, their agent already knew their cards and connecting gates and made the 3-hour wait painless.","sourceHandle":"@Yairyup / Yair Savlevi (verified, X, 2026-09-10; borderline — one reply addresses him as if on the Muse team; evidence weak)","sourceUrl":"https://x.com/Yairyup/status/2097997658707095771","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:told-muse-to-start-a-live-chat-with-verizon-customer-support","title":"Told Muse to start a live chat with Verizon customer support; went to bed and woke up to a…","category":"Money","prompt":null,"description":"Started a Verizon support chat, then went to bed; Muse brought the bill from $516/mo to $386.","story":"Told Muse to start a live chat with Verizon customer support; went to bed and woke up to a lowered bill.","sourceHandle":"@williamgeronco (Sep 15)","sourceUrl":"https://x.com/williamgeronco/status/2099826624849961009","sourceName":"Muse use cases field guide","hasPrompt":false,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:demoed-having-muse-book-a-restaurant-table-in-the-browser","title":"Demoed having Muse book a restaurant table in the browser.","category":"Food","prompt":null,"description":"Demo booking a restaurant table with Muse.","story":"Demoed having Muse book a restaurant table in the browser.","sourceHandle":"@spottedinprod (X)","sourceUrl":"https://x.com/spottedinprod/status/2097461280705565016","sourceName":"Muse use cases field guide","hasPrompt":false,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:the-first-thing-they-did-with-their-muse-named-axel-was-have","title":"The first thing they did with their Muse (named \"Axel\") was have it search their email to…","category":"Money","prompt":null,"description":null,"story":"The first thing they did with their Muse (named \"Axel\") was have it search their email to find forgotten subscriptions and unused flight credits, recovering money.","sourceHandle":"commenter on @alexheath's Threads post (handle not captured, 2026-09-08)","sourceUrl":"https://www.threads.com/@alexheath/post/DdCuo7sgYDb","sourceName":"Muse use cases field guide","hasPrompt":false,"addedAt":null,"origins":["field-guide"]},{"id":"guide:with-car-insurance-up-for-renewal-next-month-he-asked-muse-t","title":"With car insurance up for renewal next month, they asked Muse to find them better rates.","category":"Money","prompt":"\"My car insurance renews in a month — find me better rates.\"","description":null,"story":"With car insurance up for renewal next month, they asked Muse to find them better rates.","sourceHandle":"@JashSayani (Jash Sayani) (X, 2026-09-14)","sourceUrl":"https://x.com/JashSayani/status/2099721898091221447","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:distinct-url-for-the-community-park-story-already-logged-ear","title":"Distinct URL for the community-park story already logged (earlier status 20995592677957022…","category":"Home","prompt":null,"description":"Helping build a park in the community — civic paperwork and project work through Muse.","story":"Distinct URL for the community-park story already logged (earlier status 2099559267795702238): Muse pulled precedent research, mocked up the space, built a funding roadmap, and mapped stakeholders to turn a shopping center into a community park with a playground (two kids; 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give me options, set up a price tracker, and suggest multi-city routing.\"","description":null,"story":"Muse researched an international itinerary honoring a nonstop-flights preference, returned flight options, set up a price tracker, and suggested multi-city routing with a different departure airport.","sourceHandle":"Karissa Bell, Engadget senior reporter (2026-09-12)","sourceUrl":"https://www.engadget.com/2256577/how-to-get-started-with-meta-s-new-ai-agent-muse/ (flight-research section)","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:her-agent-sunny-scanned-emails-for-daughter-lydia-s-theater-","title":"Their agent \"Sunny\" scanned emails for daughter Lydia's theater dates and moved 16 of them o…","category":"Family","prompt":"\"Take over the family calendar: scan my emails for [Lydia's theater] dates and add every one to the family calendar, then send me an end-of-day summary of what's coming. Also build my weekly meal plan + grocery list and remind me to charge my headphones before long run days.\"","description":null,"story":"Their agent \"Sunny\" scanned emails for daughter Lydia's theater dates and moved 16 of them onto the family calendar, gives end-of-day summaries, plus meal planning, grocery lists, headphone-charge reminders before long run days, and running playlists — \"lightened their mental load.\"","sourceHandle":"FB creator (handle not resolved via post lookup; 2026-09-10, ~690 likes)","sourceUrl":"https://www.facebook.com/reel/4550062865213622/","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:72-hour-test-of-muse-inside-his-youtube-business-with-define","title":"72-hour test of Muse inside their YouTube business, with defined jobs, clear access rules an…","category":"Work","prompt":"\"Give it defined jobs in my [YouTube] business with clear rules and approval points: monitor competitors for outperforming videos and suggest fresh title angles; when something hits my Ready-to-Upload list in Trello, prep the upload, description, tags and end screens — show me everything before it goes live and never change monetization settings without approval; chase stuck scripts/edits, move Trello cards, and send me an end-of-day report.\"","description":null,"story":"72-hour test of Muse inside their YouTube business, with defined jobs, clear access rules and approval points: competitor monitoring (flags genuinely outperforming videos + fresh title angles), Trello upload prep (upload/description/tags/end screens/ad breaks, shown before anything goes live, no monetization changes without approval), production management (follows up on stuck scripts/edits, moves Trello cards, end-of-day report), weekly Sunday channel reporting (views/watch time/subs/revenue vs prior week), invoice review, and community support triage.","sourceHandle":"@theescottsmith / Scott Smith (Instagram, 2026-09-15, verified creator, 112K followers)","sourceUrl":"https://www.instagram.com/p/DdUcdMLGLwv/","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:his-agent-butterfly-runs-10-recurring-weekly-jobs-for-his-sm","title":"Their agent \"Butterfly\" runs 10 recurring weekly jobs for their small business: inbox, calenda…","category":"Work","prompt":"\"Run my [small business] back office weekly: triage my inbox, manage my calendar, plan content, write captions and carousels, schedule posts, track subscriptions, do weekly planning, and handle reminders and research. Report each job when done.\"","description":null,"story":"Their agent \"Butterfly\" runs 10 recurring weekly jobs for their small business: inbox, calendar, content planning, captions and carousels, post scheduling, subscriptions, weekly planning, reminders, research — \"like having a full time helper who never sleeps.\"","sourceHandle":"@ranoaisolutions / Ranvir (Instagram, 2026-09-15; small-business AI automation account)","sourceUrl":"https://www.instagram.com/reel/DdVTf-PsFrW/","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:uses-muse-to-turn-his-instagram-saved-posts-plus-what-the-ag","title":"Uses Muse to turn their Instagram saved posts — plus what the agent knows about them — into f…","category":"Work","prompt":"\"Turn my Instagram saved posts plus what you know about me into filming briefs / shoot cards for me and my editors: clear outlines of what to record next.\"","description":null,"story":"Uses Muse to turn their Instagram saved posts — plus what the agent knows about them — into filming briefs / shoot cards for them and their editors: \"Less staring at a blank page. A clearer plan for what to record.\"","sourceHandle":"@ericosiu / Eric Siu (Instagram, 2026-09-15, verified, 117K followers)","sourceUrl":"https://www.instagram.com/reel/DdUvUvJEVXD/","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:per-video-narration-caption-is-thin-while-packing-her-kids-f","title":"Per video narration (caption is thin), while packing their kids for school one morning they h…","category":"Family","prompt":"\"Handle my kids' admin this morning while I pack them for school: book [classes], sign them up for [local competitions], find [weekend events], and cancel any forgotten online classes we're still paying for. Confirm each.\"","description":null,"story":"Per video narration (caption is thin), while packing their kids for school one morning they had Muse simultaneously book their children's classes, sign them up for local competitions, find weekend events, and cancel forgotten online classes.","sourceHandle":"@katya_homa_tech / Katya Homa (Instagram, 2026-09-15, NYC AI product designer)","sourceUrl":"https://www.instagram.com/reel/DdT5AJ_yjlH/","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:shopped-cheaper-auto-insurance-with-identical-coverage-bough","title":"Shopped cheaper auto insurance with identical coverage, bought it, canceled old, saving $3…","category":"Money","prompt":null,"description":null,"story":"Shopped cheaper auto insurance with identical coverage, bought it, canceled old, saving $3,500/year","sourceHandle":"@JosephDevoy (quoted)","sourceUrl":"https://x.com/Musecases/status/2100213362206609629","sourceName":"Muse use cases field guide","hasPrompt":false,"addedAt":null,"origins":["field-guide"]},{"id":"guide:muse-reviewed-his-auto-insurance-policy-compared-quotes-and-","title":"Muse reviewed their auto-insurance policy, compared quotes, and landed them the best price","category":"Money","prompt":"Review my current auto-insurance policy, compare quotes from other providers, and find me the best price. Report what you save me.","description":null,"story":"The user had Muse review their current auto-insurance policy, compare quotes, and land them the best price — saving them 'quite a bit' on car insurance.","sourceHandle":"@dlippsyt (Drew Lipps, Threads, 2026-09-16)","sourceUrl":"https://www.threads.com/@dlippsyt/post/DdWjL0wjoqs","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:first-week-inbox-zero-bought-a-scooter-scrubbed-tracking-sit","title":"First week: inbox zero, bought a scooter, scrubbed tracking sites, storm-damage outreach","category":"Home","prompt":"Get me to inbox zero and unsubscribe me from spam senders. Research and buy me a commuter scooter for the train station. Remove my info from third-party tracking sites. Contact my insurers and repairmen about storm damage to my house. Report each outcome.","description":null,"story":"A Muse user put Muse to work in its first week: got to inbox zero and unsubscribed from dozens of spam senders, researched and bought a commuter scooter for the train station, removed their info from third-party tracking sites, and reached out to insurers and repairmen after CT storms damaged their house.","sourceHandle":"@claycwardell (Threads, 2026-09-16)","sourceUrl":"https://www.threads.com/@claycwardell/post/DdWw6A9Ef-Z","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:muse-built-a-36-song-detroit-hip-hop-playlist-from-his-tidal","title":"Muse built a 36-song Detroit hip-hop playlist from their Tidal liked songs","category":"Fun","prompt":"Look at my liked songs on Tidal, learn my taste in Detroit hip-hop, and build me a playlist mixing new discoveries with songs I already like. Keep it efficient.","description":null,"story":"Tarun had Muse analyze their Tidal liked songs, learn their taste in Detroit hip-hop, and build a 36-song playlist — 18 new discoveries plus 18 from their liked songs — using only ~5% of their free weekly usage limit.","sourceHandle":"@noise.in.vacuum (Tarun, Threads, 2026-09-13)","sourceUrl":"https://www.threads.com/@noise.in.vacuum/post/DdPfNaqkmyu","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:muse-built-a-todo-sync-integration-for-things-app-which-has-","title":"Muse built a todo-sync integration for Things.app, which has no official API","category":"Productivity","prompt":"My todo app (Things) has cloud sync but no official API. Build me a sync integration so my todos stay synced across all my Apple devices.","description":null,"story":"The user uses Things.app for their todos, which has cloud sync but no official API — they told Muse to build the integration, and minutes later they had ongoing todo sync from their LLM across all their Apple devices.","sourceHandle":"@holman (Zach Holman, Threads, 2026-09-14)","sourceUrl":"https://www.threads.com/@holman/post/DdR8SGgkpch","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:muse-translated-japanese-price-tags-in-nakano-watch-shops-an","title":"Muse translated Japanese price tags in Nakano watch shops and told them which watches were worth buying","category":"Travel","prompt":"Translate the Japanese price tags in these watch shop window photos, pull current market prices for each watch, and tell me which ones are actually worth buying.","description":null,"story":"Walking through Nakano in Tokyo, Emerson sent Muse photos of watch shop windows; Muse translated the Japanese price tags, pulled market prices for each watch, and told them which were actually worth it — part of a thread that ended in a watch purchase.","sourceHandle":"@emersonberlik (Threads, 2026-09-15)","sourceUrl":"https://www.threads.com/@emersonberlik/post/DdTYFF_G_xz","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:muse-optimized-his-ski-season-calendar-price-shopped-hotels-","title":"Muse optimized their ski-season calendar, price-shopped hotels and flights, and maximized credit-card value","category":"Travel","prompt":"Optimize my ski-season calendar, price-shop hotels and flights, maximize my credit-card value, and research long-term snowfall projections for the resorts.","description":null,"story":"The user had Muse optimize their ski-season calendar, price-shop hotels and flights, maximize their credit-card expected value, and research long-term snowfall projections.","sourceHandle":"@smorseman (Steve Morseman, Threads, 2026-09-16)","sourceUrl":"https://www.threads.com/@smorseman/post/DdWxqzgmjwM","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:muse-compiled-his-family-s-delta-dental-receipts-and-filed-t","title":"Muse compiled their family's Delta Dental receipts and filed the HSA reimbursement","category":"Money","prompt":"Go through my dental receipts, total our family's out-of-pocket expenses, and submit them to my HSA for reimbursement. Report what you filed.","description":null,"story":"The user had Muse go through their Delta Dental receipts, compile the whole family's out-of-pocket expenses, and submit them all to their HSA for reimbursement — a task they'd been avoiding 'for forever' that would have taken them hours.","sourceHandle":"@david_tetra (David Zweifel, Threads, 2026-09-11)","sourceUrl":"https://www.threads.com/@david_tetra/post/DdKeR2-jw2b","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:muse-built-her-target-shopping-cart-from-her-alexa-grocery-l","title":"Muse built their Target shopping cart from their Alexa grocery list — they approved and picked it up","category":"Shopping","prompt":"Pull my grocery list from Alexa, sign me into my Target account, and build the shopping cart. Let me review and edit it before you place the order.","description":null,"story":"They had Muse pull their grocery list out of Alexa, sign their into their Target account, and build the shopping cart. They reviewed it, made a few changes, approved the order, and just picked it up at Target.","sourceHandle":"@ai_momnextdoor (Instagram, 2026-09-16)","sourceUrl":"https://www.instagram.com/reel/DdWQPFGp8td/","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:while-sourcing-vintage-inventory-muse-built-her-spreadsheet-","title":"While sourcing vintage inventory, Muse built their spreadsheet from photos and prices on the spot","category":"Work","prompt":"From these item photos and the prices I type in, build my inventory spreadsheet in real time — add descriptions, era, origin details, and estimated retail value.","description":null,"story":"Out sourcing for their vintage business, they photographed items and typed in prices on the spot; Muse built their inventory spreadsheet in real time — adding descriptions, eras, origin details, and estimated retail value.","sourceHandle":"@saveallthepretties (Instagram, 2026-09-15)","sourceUrl":"https://www.instagram.com/reel/DdUv10SS9KX/","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:muse-scanned-his-email-and-calendar-for-broken-promises-draf","title":"Muse scanned their email and calendar for broken promises — drafts written, oldest sent that night","category":"Work","prompt":"Scan my email and calendar for every promise I made and never delivered. List them with drafts ready to send, and I'll pick which to send tonight.","description":null,"story":"Dillon asked Muse to scan their email and calendar for every promise they'd made and never delivered. Muse came back with the list and drafts already written; they picked the oldest one and sent it that night.","sourceHandle":"@dillondigitals (Instagram, 2026-09-10)","sourceUrl":"https://www.instagram.com/reel/DdIU5l7Mdn7/","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:muse-logged-into-his-united-account-and-booked-a-flight-no-a","title":"Muse logged into their United account and booked a flight — no API, just the browser","category":"Travel","prompt":"Log into my United account and book a flight.","description":null,"story":"The user asked Meta's personal agent to log into their United account and book a flight. United built no agent interface and didn't opt in; the agent opened a browser, injected their credentials, and completed the booking.","sourceHandle":"Kevin Gosschalk (Arkose Labs CEO, blog, 2026-09-10)","sourceUrl":"https://www.arkoselabs.com/blog/population-two-arrives","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:muse-planned-his-daughter-s-birthday-party-balloons-and-a-he","title":"Muse planned their daughter's birthday party: balloons and a helium tank from Target","category":"Family","prompt":"Plan my daughter's birthday party: get balloons and a helium tank from Target for pickup.","description":null,"story":"Muse proactively noticed The user's daughter's birthday approaching, suggested planning a party, and got balloons and a helium tank from Target — waiting for pickup while they finished editing.","sourceHandle":"Alex Volkov (ThursdAI, newsletter, 2026-09-10)","sourceUrl":"https://sub.thursdai.news/p/openai-solves-navier-stokes-metas","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:gmail-promo-purge-thousands","title":"Deleted thousands of promotional emails from Gmail","category":"Admin","prompt":"Clean up my Gmail: find all the promotional emails and updates clogging my inbox and delete them in bulk. Don't touch anything I actually need.","description":null,"story":"The Verge's The user gave Muse Gmail access; it identified the promotions and updates clogging their inbox and bulk-deleted thousands of them in one pass — no manual sorting.","sourceHandle":"Emma Roth (The Verge)","sourceUrl":"https://onlinetechguru.co.uk/sure-metas-ai-muse-works-but-it-sure-creeps-me-out/","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:amazon-cart-surgical-buy","title":"Bought only the workout tank tops from a full Amazon cart","category":"Shopping","prompt":"From my Amazon cart, buy only the workout tank tops I've picked out. Leave every other item in the cart.","description":null,"story":"The user handed Muse a full Amazon cart. It bought only the workout tank tops they had chosen and left everything else untouched — selective purchasing, not a checkout blunder.","sourceHandle":"Emma Roth (The Verge)","sourceUrl":"https://onlinetechguru.co.uk/sure-metas-ai-muse-works-but-it-sure-creeps-me-out/","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:oil-briefing-3am","title":"Running oil brief, refreshed daily at 3am","category":"Work","prompt":"Build me an oil industry brief and refresh it every morning at 3am.","description":null,"story":"A Muse user asked Muse to build them an oil brief in the first 20 minutes — it now refreshes itself every day at 3am and is already 100% the first thing they reads.","sourceHandle":"SJL (sjl.us)","sourceUrl":"https://sjl.us/2026/09/10/two-days-with-muse/","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:youtube-channel-watch-paul-sankey","title":"Watches a YouTube channel for new uploads and flags them","category":"Work","prompt":"Watch The user's YouTube channel and flag any new uploads for me.","description":null,"story":"A Muse user has Muse watching The user's YouTube channel and flagging new uploads automatically.","sourceHandle":"SJL (sjl.us)","sourceUrl":"https://sjl.us/2026/09/10/two-days-with-muse/","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:cash-secured-puts-screen","title":"Screens cash-secured puts before the market opens","category":"Money","prompt":"Screen cash-secured puts before the market opens and have my shortlist ready by the opening bell.","description":null,"story":"A Muse user's Muse screens cash-secured puts before the market opens, so their shortlist is ready when trading starts.","sourceHandle":"SJL (sjl.us)","sourceUrl":"https://sjl.us/2026/09/10/two-days-with-muse/","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:monday-blog-ideas","title":"Blog post ideas delivered every Monday morning","category":"Work","prompt":"Send me blog post ideas every Monday morning.","description":null,"story":"Every Monday morning, a Muse user's Muse sends them blog post ideas.","sourceHandle":"SJL (sjl.us)","sourceUrl":"https://sjl.us/2026/09/10/two-days-with-muse/","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:ableton-file-converter-dad","title":"Built a file converter to read their dad's Ableton projects","category":"Fun","prompt":"My Ableton project files won't open here. Figure out a way to read them and remember it for next time.","description":null,"story":"A Muse user's father's agent hit a wall reading their Ableton project files — Muse built itself a file converter for them, remembered the skill for future chats, and let them finish their project.","sourceHandle":"Lillith","sourceUrl":"https://lilliths.nekoweb.org/meta-muse-review.html","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:contacts-dedupe-icloud-gmail","title":"Clean up and dedupe a decade of contacts","category":"Admin","prompt":"Go through my iCloud and Gmail contacts and clean them up: dedupe duplicates and remove the decade-long mess. Report what you removed.","description":"Cleaned up and deduped a decade-plus mess of iCloud and Gmail contacts.","story":"A Muse user had Muse clean up and dedupe their decade-plus mess of iCloud and Gmail contacts. 'We are in the singularity.' a well-known tech commentator quote-reposted it and immediately started their own 20,000+ contact cleanup.","sourceHandle":"@jaredpalmer (X, 2026-09-16)","sourceUrl":"https://x.com/jaredpalmer/status/2100259571323265032","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:build-crm-jason-lemkin","title":"Build me a CRM from scratch","category":"Work","prompt":"Build me a CRM.","description":null,"story":"A Muse user asked Muse for a CRM and it built one for them — \"It build me a CRM\" — quoting The user's \"sometimes muse will just give you what you ask for :)\".","sourceHandle":"@jasonlk (verified, X, 2026-09-16; 2 photos attached)","sourceUrl":"https://x.com/jasonlk/status/2100292898696876159","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:hsa-receipts-medical-bills","title":"Automate medical bill approvals and HSA receipt filing","category":"Money","prompt":"Every time I receive a medical bill, ping me so I can approve payment, then automatically add the receipts to my HSA folder so I can get reimbursed in the future.","description":null,"story":"A Muse user set up a Muse automation: every medical bill pings them for approval, then Muse files the receipt in their HSA folder for future reimbursement. Hours saved per month stacking a dozen such automations.","sourceHandle":"@adambader","sourceUrl":"https://x.com/adambader/status/2100315379633635551?s=20","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:frequent-flier-partner-booking","title":"Add frequent flier number to a partner airline booking","category":"Travel","prompt":"Make sure my frequent flier number is added to my upcoming trip on a partner airline.","description":null,"story":"A Muse user asked Muse to add their frequent flier number to a partner-airline trip. 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Over ~48 hours, Flow turned an idea into an active workflow: planning, organizing information, creating content, reviewing results, and preparing publication material.","sourceHandle":"@itsgoji","sourceUrl":"https://medium.com/@itsgoji/i-didnt-give-muse-a-demo-i-gave-her-a-job-8b215439de8f","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:sam-sells-kindle-marketplace","title":"List and sell items on Facebook Marketplace","category":"Money","prompt":"Post my Kindle Scribe for sale on Facebook Marketplace and handle buyer inquiries.","description":null,"story":"The user's agent 'Sam' posted their Kindle Scribe to Facebook Marketplace and fields incoming buyer inquiries.","sourceHandle":"@JustinRTipton","sourceUrl":"https://jrtstudio.com/posts/metas-new-virtual-assistant","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:sam-port-ebay-to-marketplace","title":"Port eBay listings to Facebook Marketplace overnight","category":"Money","prompt":"Port all my eBay listings to Facebook Marketplace overnight.","description":null,"story":"The user set 'Sam' on the task at bedtime; by morning it had ported all their eBay listings to Facebook Marketplace, queued for one-click publishing.","sourceHandle":"@JustinRTipton","sourceUrl":"https://jrtstudio.com/posts/metas-new-virtual-assistant","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:sam-morning-schedule-text","title":"Get a daily family schedule text every morning","category":"Family","prompt":"Text me the day's family schedule every morning.","description":null,"story":"The user has 'Sam' text them the day's family schedule each morning.","sourceHandle":"@JustinRTipton","sourceUrl":"https://jrtstudio.com/posts/metas-new-virtual-assistant","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:sam-dentist-reminder-phone","title":"Get reminders enriched with the phone number to call","category":"Admin","prompt":"Remind me about my dentist appointment, with the dentist's phone number so I can call with one tap.","description":null,"story":"The user's 'Sam' enriched a dentist reminder with the dentist's phone number, so one tap started the call.","sourceHandle":"@JustinRTipton","sourceUrl":"https://jrtstudio.com/posts/metas-new-virtual-assistant","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:frank-value-rules-tool","title":"Build and publish a decision tool in one evening","category":"Work","prompt":"Build a Value Rules Decision Tool and publish it live.","description":null,"story":"The user had their Muse agent 'Frank' build and publish a live Value Rules Decision Tool in one evening, writing zero code.","sourceHandle":"@jonloomer","sourceUrl":"https://www.jonloomer.com/muse-meta-ai-agent/","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:hailey-doctor-office-call","title":"Confirm doctor's office appointment by voice call","category":"Health","prompt":"Call my doctor's office and confirm my appointment details.","description":null,"story":"The user's Muse agent 'Hailey' voice-called their doctor's office and confirmed their appointment details.","sourceHandle":"@adellecharles","sourceUrl":"https://www.threads.com/@adellecharles/post/DdSCTcVoM68","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:virtual-try-on-page","title":"Build a virtual try-on page for clothes shopping","category":"Shopping","prompt":"Build me a virtual try-on page for clothes shopping: a browsable September collection where I can preview outfits. 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If it drops, tell me immediately and offer to rebook or get me flight credit.","description":null,"story":"Muse proactively told him a booked flight's price had dropped 40% and offered to rebook; he called the airline and got hundreds of dollars in flight credit.","sourceHandle":"@tanayj","sourceUrl":"https://x.com/tanayj/status/2099924629896737177","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:bedtime-meditation-audio","title":"Compose a personalized bedtime meditation with audio","category":"Health","prompt":"Compose a personalized bedtime meditation for me, with audio I can play tonight.","description":null,"story":"Composed a personalized bedtime meditation with audio.","sourceHandle":"@Kathryn_T_Heinz","sourceUrl":"https://x.com/Kathryn_T_Heinz/status/2099751551426605077","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:game-idea-2d-prototype","title":"Prototype a game idea as a playable 2D version","category":"Fun","prompt":"Build a playable 2D version of my game idea [description] so I can test the flow and gameplay loop before building the full version. 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I will give you my personal details and factoids - use them.","description":null,"story":"Ran an IRR analysis on keeping a 12-year-old car vs getting a new one, with personal details and factoids.","sourceHandle":"@varunvasudeva23","sourceUrl":"https://x.com/varunvasudeva23/status/2100040679686541419","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:investment-research-fleet","title":"Replace a private research-agent fleet for investment sentiment","category":"Work","prompt":"Do investment research for me: run sentiment sweeps on [names] across news, blogs, and social media, and summarize what you find.","description":null,"story":"Replaced a privately-built research-agent fleet for investment research: sentiment sweeps on names across news/blogs/social media out of the box.","sourceHandle":"@AI_Investor_","sourceUrl":"https://x.com/AI_Investor_/status/2099927841227882741","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:warranty-claim-phone-case","title":"File a warranty claim for a peeling phone case","category":"Admin","prompt":"My phone case is peeling. File a warranty claim for me: ask me for a photo, go to the company's site, fill out the form, upload the pic, and submit. Confirm the replacement is on the way.","description":null,"story":"Filed a warranty claim for a peeling phone case: asked for a photo, went to the company website, filled out the form, uploaded the pic, submitted. Free replacement on the way.","sourceHandle":"@nickolsoncodes","sourceUrl":"https://x.com/nickolsoncodes/status/2099963533760815348","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:gym-cancel-refund","title":"Cancel a gym membership and get an unexpected refund","category":"Money","prompt":"Cancel my gym membership [provider]. While you are at it, check whether I am owed any refund I do not know about and get it.","description":null,"story":"Told Muse to cancel a gym membership; it also got him a refund he didn't know he was entitled to.","sourceHandle":"@GaryGarciiia3","sourceUrl":"https://x.com/GaryGarciiia3/status/2100291586764763370","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:airpods-pro-replacement","title":"Get faulty AirPods Pro replaced hands-off","category":"Shopping","prompt":"My AirPods Pro are faulty. Get them replaced: I will log in with my Apple ID, you handle everything after that. Confirm the replacement is on the way.","description":null,"story":"Got faulty AirPods Pro replaced; Muse handled everything after he logged in with his Apple ID. Replacement on the way.","sourceHandle":"@_miral_patel","sourceUrl":"https://x.com/_miral_patel/status/2099910428314980417","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:local-ai-companion-webcam","title":"Hook Muse into a local AI companion with webcam and Raspberry Pi","category":"Fun","prompt":"Connect to my local AI companion setup [PTZ webcam + Raspberry Pi] and act as its brain. Describe what you see and respond to me.","description":null,"story":"Hooked Muse into a custom local AI companion built with a PTZ webcam and a Raspberry Pi.","sourceHandle":"@Ezra_Drake","sourceUrl":"https://x.com/Ezra_Drake/status/2099848867902607375","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:food-tracker-reverse-engineer","title":"Reverse-engineer a food tracker from a single sentence","category":"Health","prompt":"Reverse-engineer my food tracker from this one sentence: [sentence]. Find the repo, map the hidden API, and lock my password in a vault. Then write up the full story.","description":null,"story":"Muse reverse-engineered his food tracker from a single sentence — found the GitHub repo, mapped the hidden API, locked the password in a vault.","sourceHandle":"@ohkamisli","sourceUrl":"https://x.com/ohkamisli/status/2099690576606277984","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:lost-key-tag-replace","title":"Replace a lost key tag from a past Amazon order","category":"Shopping","prompt":"I lost my key tag. Find the same product on Amazon from my past order, fill in my details, and add it to my cart for my approval.","description":null,"story":"Replaced a lost key tag: found the same product on Amazon, filled out 9 data fields, added it to the cart.","sourceHandle":"@the_tnt_shark","sourceUrl":"https://x.com/the_tnt_shark/status/2099986695689302486","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:dental-bill-zero","title":"Get a wrongly-billed $180 dental charge down to $0","category":"Money","prompt":"I was charged for 3 dental X-rays that should have been covered. 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Triage, reply, and file everything - I do not want to open Gmail again.","description":null,"story":"Completely dropped Gmail; Muse does his email.","sourceHandle":"@plumberbutt97","sourceUrl":"https://x.com/plumberbutt97/status/2099681464937816246","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:live-home-screen","title":"Maintain a live personal home screen of projects","category":"Work","prompt":"Maintain a live home screen for me: one place tracking my ongoing projects, ideas, and tasks as a stream of consciousness. 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Handle the forms and confirm enrollment.","description":null,"story":"Signed up his kids for school.","sourceHandle":"@ArjunShukl95550","sourceUrl":"https://x.com/ArjunShukl95550/status/2099866463762817071","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:godot-games-shiny-gen","title":"Create Godot games and improve the generator itself","category":"Fun","prompt":"Help me create Godot games with [Shiny Gen], and use it to improve the generator itself.","description":null,"story":"Creating Godot games with Shiny Gen and using it to improve Shiny Gen itself.","sourceHandle":"@davidpwalter","sourceUrl":"https://x.com/davidpwalter/status/2100025775839707152","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:panera-17-item-order","title":"Place a 17-item Panera pickup order","category":"Food","prompt":"Place a Panera Bread pickup order for me: [17 items]. 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Surprise me - multi-language support is a plus.","description":null,"story":"Used Muse to find good restaurant recommendations; it downloaded videos from video sites and recommended good Japanese food; multi-language support is good. (Posted in Chinese.)","sourceHandle":"@kysonkai2","sourceUrl":"https://x.com/kysonkai2/status/2099860029495185622","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:one-hour-flights-purifier-wifi","title":"Book flights, research a purifier, and cut the Wi-Fi bill in one hour","category":"Money","prompt":"In the next hour: (1) book the cheapest flights for my parents [route/dates], (2) research water TDS in my area, compare countertop RO purifiers, and order the best one on Amazon, (3) go through my emails and find Wi-Fi bill savings, then update the payment method.","description":null,"story":"In one hour: booked the cheapest flights for his parents, researched water TDS and compared countertop RO purifiers then ordered one on Amazon, and went through emails to find Wi-Fi bill savings and updated the payment method.","sourceHandle":"@bpranav6","sourceUrl":"https://x.com/bpranav6/status/2100297517552542047","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:subscription-landing-page","title":"Build a subscription landing page from an existing website","category":"Work","prompt":"Point at my website [url] and build me a subscription landing page from it. Publish it and send me the link.","description":null,"story":"Pointed his @meta muse agent at his existing website and it automatically built a subscription landing page for him, published at muse.ai/s/subscribe-page-axp5xcxy1bx0288; he says he \"didn't have to do anything except point it at my website.\" Post (verbatim): \"Built this quickly with @meta muse. Didn’t have to do anything except point it at my website. Subscribe!\\n\\nhttps://muse.ai/s/subscribe-page-axp5xcxy1bx0288\"","sourceHandle":"@jacaranda7","sourceUrl":"https://www.threads.com/@jacaranda7/post/DdUfGKxlsKK","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:unsubscribe-junk-mail","title":"Unsubscribe from all junk mail at once","category":"Admin","prompt":"Unsubscribe me from all junk mail. Every list, every sender - do it in one pass and confirm when my inbox is clean.","description":null,"story":"Asked Muse to unsubscribe from all junk mail — a task he calls a \"horrible experience\" on Google (one at a time, can't click unsubscribe); Muse handled it smoothly. He ran side-by-sides against Google's Spark and found Muse \"remarkably more capable.\" Post (verbatim): \"finally gave muse.ai a try after all the buzz and I was really impressed- I did some side by sides against Google's spark and its remarkably more capable, even things like asking to unsubscribe from all junk mail, that is a horrible experience with google, one at a time, cant click the unsubscribe, muse has a very capable environment and the integrations were extremely smooth, this could be a hit.  here is my invite code, we get a billion tokens for life if you use it JFR1R8\"","sourceHandle":"@seandearnaley","sourceUrl":"https://www.threads.com/@seandearnaley/post/DdWxmwboNHu","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:wedding-assistant-mew","title":"Organize wedding planning with an assistant named Mew","category":"Family","prompt":"Be my wedding assistant 'Mew': organize my wedding to-do list, prioritize tasks between work and wedding prep, and draft emails to my planners about the event timeline.","description":null,"story":"Getting married in less than a week; created a Muse assistant named \"Mew\" that organized her wedding to-do list, prioritized tasks between work and wedding prep, summarized book plots, and drafted a professional email to her wedding planners about the event timeline (per reel content). Post (verbatim): \"my last week of wedding planning just got so much easier thanks to @muse ❤️\\n\\n#meta #muse #doctor #weddingplanning #ai\"","sourceHandle":"@keshu","sourceUrl":"https://www.instagram.com/reel/DdWrv3ahuHr/","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:asia-trip-local-language-emails","title":"Email hotels and restaurants in Japanese and Chinese for a 2-month Asia trip","category":"Travel","prompt":"I am traveling Asia for 2 months. Email hotels and restaurants in Japanese and Chinese to coordinate my accommodations and reservations - go back and forth with them as needed. Also research local spots that only exist in the local language.","description":null,"story":"Asked Muse to email hotels and restaurants in Japanese and Chinese to coordinate a 2-month Asia trip, negotiating back and forth with them; it also researched local-language-only spots.","sourceHandle":"@_mliu","sourceUrl":"https://www.threads.com/@_mliu/post/DdW26TpFhTJ","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:usb-stick-virtual-card-purchase","title":"Buy a USB stick for $41.97 with a one-time virtual card","category":"Shopping","prompt":"Find me an affordable USB stick [specs]. Recommend the best one, and once I approve, buy it - set up a one-time virtual card if needed. Do not use my saved store credentials without asking.","description":null,"story":"Asked Muse to shop for a USB stick; it completed a real $41.97 purchase of a SanDisk 128GB Ultra Flair on sandisk.com via a one-time Stripe Link virtual card after her approval (Amazon credentials declined, Walmart blocked by CAPTCHA).","sourceHandle":"@trust.compass","sourceUrl":"https://www.instagram.com/reel/DdW02nvpp5b/","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:analyze-143-posts-conversion","title":"Audit 143 posts to find the real growth bottleneck","category":"Work","prompt":"Analyze my last 143 Instagram posts: find patterns in what converts versus what just gets reach, tell me my real bottleneck, turn the findings into a content plan, sharpen my positioning, and set up a recurring task that hunts Facebook Marketplace for an outdoor couch and reports back.","description":null,"story":"A psychologist for entrepreneurs had Muse analyze 143 of their Instagram posts. It diagnosed that conversion, not reach, was the real problem, then built content around the findings, reworked their workshop promotion, sharpened their positioning, and set up an automated Facebook Marketplace hunt for an outdoor couch.","sourceHandle":"@drstephthrower","sourceUrl":"https://www.instagram.com/p/DdW7slKEcrC/","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:eclaimsline-trip-delay-claim","title":"Call EClaimsLine for a trip delay claim update","category":"Travel","prompt":"Call EClaimsLine on my behalf and get a status update on my trip delay claim [claim reference]. Navigate the phone menu, wait on hold if needed, and report back exactly what they say. Hand the call to me if identity verification is required.","description":null,"story":"Muse placed a phone call to EClaimsLine to get a status update on a trip delay claim, and the call transcript was shared as proof.","sourceHandle":"@jwang815","sourceUrl":"https://www.threads.com/@jwang815/post/DdYJdSulnDN","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:internet-bill-100-to-65","title":"Negotiate the internet bill from $100 to $65","category":"Money","prompt":"Call my internet provider and negotiate my home internet bill down from $100/month. Clear the phone tree yourself, patch me in only if identity verification is needed, and report the final monthly price before confirming anything.","description":null,"story":"Muse called and negotiated a home internet bill from $100 to $65 a month, done within two hours of getting call access.","sourceHandle":"@AbdulTheBuilder","sourceUrl":"https://x.com/AbdulTheBuilder/status/2100264217651658935","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:internet-bill-then-insurance","title":"Negotiate internet, then car and renter's insurance","category":"Money","prompt":"Negotiate my internet bill down, then do the same for my car insurance and renter's insurance. Go provider by provider, report each new quote, and only switch anything with my approval.","description":"Negotiated down an internet bill, then queued the same play for car and renter’s insurance.","story":"Muse negotiated down an internet bill, and is now doing the same for the user's car and renter's insurance.","sourceHandle":"@kwuchu","sourceUrl":"https://x.com/kwuchu/status/2100227778918441106","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:att-two-homes-1920","title":"Negotiate fiber bills for two homes, save $1,920","category":"Money","prompt":"Call AT&T and negotiate a lower fiber internet bill for both of my homes [addresses]. Ask about loyalty pricing plus any extra savings for bank autopay and paperless billing. Patch me in for identity verification, then report the new monthly totals before I confirm.","description":null,"story":"Muse called AT&T and negotiated lower fiber internet bills for two homes, saving $1,920 over the next 24 months, plus flagging another $10/month from bank autopay and paperless billing.","sourceHandle":"@JasonL_Capital","sourceUrl":"https://x.com/JasonL_Capital/status/2100307407075205279","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:saved-instas-meal-plan-shop","title":"Plan meals from saved posts, then grocery shop","category":"Food","prompt":"Go through my saved Instagram posts, pick my meals for the week from them, build a grocery list, and order the groceries from [store]. Respect my usual brands and dietary rules; confirm the total before you pay.","description":"Went through saved Instagrams, picked meals for the week, and grocery-shopped from that list.","story":"Muse went through a user's saved Instagram posts, picked the week's meals, and did the grocery shopping.","sourceHandle":"@Jessa_kahh","sourceUrl":"https://x.com/Jessa_kahh/status/2100388984673185829","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:fb-marketplace-furniture-listings","title":"Run Facebook Marketplace furniture listings end to end","category":"Shopping","prompt":"List my furniture on Facebook Marketplace: write the listings, set prices, negotiate with buyers in chat, and coordinate pickups. Report each offer and only accept sales with my approval.","description":null,"story":"Moving soon, a user has Muse handling Facebook Marketplace furniture listings end to end: listing, pricing, negotiation, and pickup coordination.","sourceHandle":"@startupoppa","sourceUrl":"https://x.com/startupoppa/status/2099866812729209115","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:procrastinated-trio-hotel-apartment-subs","title":"Clear the procrastination pile: hotel, apartment, subscriptions","category":"Travel","prompt":"Do the three things I have been putting off: book a hotel for [trip/dates], find me a new apartment matching [criteria/budget], and audit my subscriptions to cancel the ones I don't use. Show me each result before you commit to anything.","description":"Cleared a backlog in minutes: booked a hotel, found a new apartment, and cleaned up subscriptions.","story":"After procrastinating on booking a hotel, finding a new apartment, and cleaning up subscriptions, a user had Muse do all three in minutes.","sourceHandle":"@ArmandDoma","sourceUrl":"https://x.com/ArmandDoma/status/2100404215487369317","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:anniversary-trip-quietest-cabin","title":"Plan the anniversary trip down to the quietest cabin","category":"Travel","prompt":"Plan our anniversary trip end to end: find the quietest cabin [destination/dates], the cheapest flights, and build the full itinerary. Show me options before booking anything.","description":null,"story":"Muse planned an entire anniversary trip, down to the quietest cabin and the cheapest flights.","sourceHandle":"@examaddaorg","sourceUrl":"https://x.com/examaddaorg/status/2099684425932165387","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:chief-of-staff-24h","title":"Onboard Muse as chief of staff in 24 hours","category":"Work","prompt":"Be my chief of staff: scan the last 90 days of my email and calendar and flag anything I missed, learn my shift roster so you plan around work, review my French business emails, make a short video ad for my side project, and set birthday reminders for my friends.","description":"In 24 hours as Chief of Staff: scanned 90 days of email/calendar and found a forgotten flight, learned the shift roster, reviewed a French business email, made a side-project video ad, and set birthday reminders.","story":"In 24 hours as 'Chief of Staff,' Muse scanned 90 days of email and calendar (and found a flight the user didn't know they had booked), learned a shift roster, reviewed a French business email, made a video ad for a side project, and set birthday reminders.","sourceHandle":"@andr3barroso","sourceUrl":"https://x.com/andr3barroso/status/2100268477533556823","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:jfk-long-term-parking","title":"Book long-term JFK parking at an offsite lot","category":"Travel","prompt":"Find and book long-term parking for my trip [dates] at an offsite lot near JFK: the cheapest reliable option with shuttle service. Confirm the total and the shuttle schedule before you pay.","description":null,"story":"Muse found and booked long-term parking at an offsite lot at JFK for a trip to Rails World.","sourceHandle":"@aviflombaum","sourceUrl":"https://x.com/aviflombaum/status/2100468136671678756","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:throo-ride-booked","title":"Book tomorrow's Throo ride","category":"Travel","prompt":"Book a Throo ride for tomorrow morning [time, pickup, destination]. Confirm the price and driver details before you pay.","description":null,"story":"A user booked a Throo ride for the next morning through Muse instead of fiddling with automation settings.","sourceHandle":"@climbingK","sourceUrl":"https://x.com/climbingK/status/2100420340455244050","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:insurance-quotes-6-plus","title":"Gather 6+ home/auto insurance quotes","category":"Money","prompt":"Shop my home and auto insurance: gather 6+ quotes from large insurers for identical coverage, and show me the savings versus my current policies. Do not switch anything without my approval.","description":null,"story":"Muse made gathering 6+ home and auto insurance quotes painless, enabling nearly $2,000/year in savings.","sourceHandle":"@RyanRodemoyer2","sourceUrl":"https://x.com/RyanRodemoyer2/status/2100249468218032488","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:dentist-call-booked","title":"Call the dentist and book the appointment","category":"Health","prompt":"Call my dentist [name/number] and book an appointment for [timeframe]. Introduce yourself as my assistant, confirm the booking, and add it to my calendar. Hand the call to me if they need identity verification.","description":null,"story":"A Vapi-powered calling agent named Kensington called the dentist, introduced itself, booked and confirmed the appointment, and put it on the calendar, without the user lifting a finger.","sourceHandle":"@Ryanfspack","sourceUrl":"https://x.com/Ryanfspack/status/2100259784847167786","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:insurer-call-cancellation-700","title":"Call the insurer and sort the cancellation","category":"Money","prompt":"Call my insurer about [issue]: get the cancellation sorted. I will sign the DocuSign, and you follow up with them by call until it is confirmed. Report the outcome and what I saved.","description":"Handled a business insurance call end-to-end — cancelled the policy, then followed up via call after DocuSign — saving over $700 and a bunch of time.","story":"Muse handled a business call to an insurer, got a cancellation sorted, and will follow up by call after the DocuSign is signed, saving over $700.","sourceHandle":"@franklyn_chien","sourceUrl":"https://x.com/franklyn_chien/status/2100253836296540525","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:travel-insurance-parents","title":"Shop and buy travel insurance for the parents","category":"Shopping","prompt":"Shop for travel insurance for my parents [trip dates/destinations], compare the best options, and purchase the best-value policy. Confirm the total and the coverage before you pay.","description":null,"story":"A user's Muse agent shopped for and purchased travel insurance for their parents.","sourceHandle":"@WeiaiWayne","sourceUrl":"https://x.com/WeiaiWayne/status/2100405546402684993","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:auto-insurance-gym-1156","title":"Shop auto insurance from the gym in 15 minutes","category":"Money","prompt":"Shop my auto insurance: use my current policy [photo/PDF], find identical coverage cheaper elsewhere, and surface the yearly savings. Report the top quotes; do not switch without my approval.","description":"Uploaded current auto insurance at the gym; Muse shopped identical coverage and surfaced ~$1,156/year in savings in about 15 minutes.","story":"From the gym, a user uploaded their current auto insurance; in about 15 minutes Muse shopped identical coverage and surfaced about $1,156/year in savings.","sourceHandle":"@JasonL_Capital","sourceUrl":"https://x.com/JasonL_Capital/status/2099991678538879461","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:flights-end-to-end-no-expedia","title":"Book flights end to end, no Expedia needed","category":"Travel","prompt":"Book my flights end to end for [trip/dates]: search options matching my usual preferences [airline/seat/times], show me the top picks, and prepare checkout for my approval before charging.","description":"Booked flights end-to-end on Muse and found it better than years of Expedia bookings.","story":"A user booked flights end to end on Muse and found it better than years of Expedia bookings.","sourceHandle":"@CommerceJohn","sourceUrl":"https://x.com/CommerceJohn/status/2100013227602292943","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:xfinity-haggle-5118","title":"Haggle Xfinity to $85.30/mo for 5 years","category":"Money","prompt":"Call Xfinity and haggle my bill down: clear the phone tree yourself, patch me in live only when identity verification hits, and aim for the lowest monthly rate on a long term. Report the final terms before I confirm.","description":"Had Muse call Xfinity, clear the phone tree, and patch him in live when verification hit — locked ~$85.30/mo for 5 years (~$5,118) with a full agent–rep transcript.","story":"Muse called Xfinity, cleared the phone tree, and patched the user in live when identity verification hit, locking about $85.30/month for 5 years (roughly $5,118 total), with a full agent-rep transcript.","sourceHandle":"@raunaqbn","sourceUrl":"https://x.com/raunaqbn/status/2100042003807601124","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:wifi-bill-300-10min","title":"Cut the WiFi bill by $300 in 10 minutes","category":"Money","prompt":"Call my WiFi provider and haggle the bill down. I want it done in under 10 minutes. Patch me in only if they need to verify my identity. Report what I saved.","description":"Saved $300 on a WiFi bill in under 10 minutes with Muse haggling the rep on his behalf.","story":"Muse haggled a WiFi bill down by $300 in under 10 minutes.","sourceHandle":"@nathanael_smith","sourceUrl":"https://x.com/nathanael_smith/status/2100016359111352349","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:sf-property-tax-appeal","title":"Take on the SF property tax appeal","category":"Money","prompt":"Take on my San Francisco property tax appeal: review the assessment, flag the review deadline, and start the filing. Show me every step before you submit anything.","description":"Took on a San Francisco property tax appeal other agents failed — flagged tonight’s review deadline and started filing.","story":"Muse took on a San Francisco property tax appeal that other agents had failed, flagging the review deadline that night and starting the filing.","sourceHandle":"@venkchandran","sourceUrl":"https://x.com/venkchandran/status/2100063538073293186","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:att-80-to-30","title":"Renegotiate AT&T: $80 to $30 with doubled speed","category":"Money","prompt":"Call AT&T and renegotiate my internet: I am paying $80/month. Push for the lowest rate, free months, and a speed upgrade. Patch me in only for identity verification. Report the final deal before I confirm.","description":"Renegotiated AT&T internet from $80/mo to $30/mo with three months free and doubled speed.","story":"Muse renegotiated an AT&T internet bill from $80/month to $30/month, with three months free and doubled speed.","sourceHandle":"@NoSaberNiPapa","sourceUrl":"https://x.com/NoSaberNiPapa/status/2100043233120178657","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:faceless-social-accounts","title":"Spin up 6 social accounts in under 2 hours","category":"Work","prompt":"Spin up Gmail, YouTube, TikTok, Snapchat, X, Instagram, and Facebook accounts for my faceless content plan: create them all with consistent branding and report the logins. Ask me for any detail only a human can provide.","description":"Spun up Gmail, YouTube, TikTok, Snapchat, X, IG, and Facebook accounts in under two hours for a long-procrastinated faceless content plan.","story":"In under two hours, Muse spun up Gmail, YouTube, TikTok, Snapchat, X, Instagram, and Facebook accounts for a long-procrastinated faceless content plan.","sourceHandle":"@ChrisUniverse","sourceUrl":"https://x.com/ChrisUniverse/status/2100122727826784259","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:x-growth-dashboard","title":"Build an X growth dashboard with daily refresh","category":"Work","prompt":"Build me an X growth dashboard tracking my followers, views, and likes with a daily auto-refresh. Also file my feature request for Apple Notes inside Muse so it is logged.","description":"Built an X growth dashboard for followers, views, and likes with daily auto-refresh, plus filed an Apple Notes feature request in Muse.","story":"Muse built an X growth dashboard tracking followers, views, and likes with daily auto-refresh, and filed an Apple Notes feature request.","sourceHandle":"@kottley","sourceUrl":"https://x.com/kottley/status/2100198525787111732","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:311-complaint-parks-dept","title":"Filed a 311 complaint about overgrown weeds, got a confirmation number","category":"Home","prompt":"I took a photo of overgrown weeds on my block. File a 311 complaint with the Parks Department for me and get me a confirmation number.","description":null,"story":"Sent Muse a photo of overgrown weeds on her block; Muse filed the 311 complaint with the Parks Department and came back with a confirmation number.","sourceHandle":"@gabyyyre","sourceUrl":"https://x.com/gabyyyre/status/2100631163895173223","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:hsa-receipts-claim-inbox-cleanup","title":"Organized HSA receipts, filed the claim, cleaned 1,500+ unread emails","category":"Money","prompt":"Organize my HSA receipts, file my HSA claim, investigate my recent trades, and clean up my 1500+ unread inbox.","description":null,"story":"In the first 12 hours of Muse usage: organized HSA receipts procrastinated since January, filed a claim, investigated trades, and cleaned a 1500+ unread inbox.","sourceHandle":"@ShashankDalmia","sourceUrl":"https://x.com/ShashankDalmia/status/2100256401771606371","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:video-editing-pipeline-yaps","title":"Built a full AI video-editing pipeline with motion graphics and auto-upload","category":"Work","prompt":"Build me an AI video-editing pipeline: edit my phone footage, add kinetic captions, lower-third cards, title card and progress bar in my brand colors and fonts, add sound design, then upload and schedule the post to TikTok.","description":null,"story":"Built a full AI video-editing pipeline on Muse: records/edits on phone, auto motion graphics (karaoke kinetic captions, lower-third cards, title card, progress bar) and sound design in his brand colors/fonts, a remix mode that rewrites a reference reel in his voice, and uploads + schedules posts to TikTok.","sourceHandle":"@Koustubha_D","sourceUrl":"https://x.com/Koustubha_D/status/2100663603917705666","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:att-hold-bypass-two-calls","title":"Bypassed a 2.5-hour AT&T hold, reached a live agent in 10 minutes","category":"Admin","prompt":"Call AT&T for me about my iPhone order issue, get through the hold, and connect me to a live agent.","description":null,"story":"After 2.5 hours on hold with AT&T about a new iPhone order issue, had Muse spin up two phone calls; it got a live agent on the phone in 10 minutes and connected them.","sourceHandle":"@spolen23","sourceUrl":"https://x.com/spolen23/status/2100723351362711866","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:medical-bill-dispute-aetna","title":"Disputed a medical bill with insurance, potential $800 savings","category":"Health","prompt":"Dispute my medical bill with insurance: find my bills and post-visit notes, fill out the submission form for Aetna.","description":null,"story":"Disputed a medical bill with insurance via Muse — it found his bills and post-visit notes and gathered the submission form he sent to Aetna; potential $800 savings, saved at least 1 hour of work.","sourceHandle":"@jaymin_jasoliya","sourceUrl":"https://x.com/jaymin_jasoliya/status/2100682528273363411","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:iphone-tradein-deal-hunt","title":"Found the cheapest iPhone 14 for trade-in, beating a rival bot","category":"Shopping","prompt":"Find me the cheapest iPhone 14 to trade in, and flag good deals on Marketplace.","description":"Shopped a cheap iPhone 14 for trade-in against Grok bot — Muse found one at $230 (vs $245) and keeps surfacing Marketplace deals.","story":"Muse found a cheap iPhone 14 for $230 to trade in (vs Grok's $245) and finds Marketplace deals.","sourceHandle":"@varun_mara","sourceUrl":"https://x.com/varun_mara/status/2100618132020691364","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:backlogged-insurance-claims-housing-search","title":"Cleared backlogged insurance claims, organized a housing search, killed unwanted subscriptions","category":"Admin","prompt":"Take care of my backlogged insurance claims, organize my housing search, find subscriptions in my email and bank account I don't want, and send the emails I've lost track of.","description":null,"story":"Muse took care of backlogged insurance claims, organized a housing search, found unwanted subscriptions in email and bank account, and sent emails he'd lost track of.","sourceHandle":"@ArmandDoma","sourceUrl":"https://x.com/ArmandDoma/status/2100455467810193433","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:renewed-iphone-14-purchased-fuchur","title":"His Muse agent sourced and purchased a renewed iPhone 14 for the startup's videos","category":"Shopping","prompt":"Source and buy a renewed iPhone 14 for our social videos at the best price you can find.","description":null,"story":"His Muse agent \"Fuchur\" sourced AND purchased a renewed iPhone 14 for social videos at a better price than he found — saved his startup time and money.","sourceHandle":"@carencioffi","sourceUrl":"https://x.com/carencioffi/status/2100249569212973402","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:inbox-triage-hal","title":"Triaged a 9,209-unread inbox into a daily must-reply folder with drafted replies","category":"Work","prompt":"Triage my inbox: find the important emails that actually need a reply today, put them in one folder, and draft replies in my voice so I can review and send in one click.","description":null,"story":"Named his agent \"Hal\"; Muse analyzed his 9,209-unread-message inbox, built a dedicated folder of only the important emails he must respond to each day, and writes draft replies in his voice for one-click send. \"The problem is now solved.\"","sourceHandle":"@caseyneistat (Instagram)","sourceUrl":"https://www.instagram.com/reel/DdCmOIIhtlx/","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:ai-chief-of-staff-school-reminders","title":"Turned Muse into an AI chief of staff: school reminders, inbox triage, grocery inventory","category":"Family","prompt":"Be my chief of staff: set school reminders for [son], triage my inbox daily, and keep a running household inventory — I'll send grocery photos, you track what's in stock. For work: research [Instagram creators/affiliates] in my niche and audit my account.","description":null,"story":"Turned Muse into an \"AI Chief of Staff\": set school reminders for her son, checks email, turns grocery photos into a running household inventory list; for work, tests it for Instagram creator/affiliate research and an account audit.","sourceHandle":"@temiokeseeyin (Instagram)","sourceUrl":"https://www.instagram.com/reel/DdJ3zY1xF4C/","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:unclaimed-property-chrispirillo","title":"Found unclaimed money owed to him, submitted the claims","category":"Money","prompt":"help me find free money that might be owed me right now.","description":null,"story":"Chris Pirillo asked Muse to find free money that might be owed to him. It searched unclaimed-property records, surfaced matching claims in the $50-$100 and $0-$25 ranges, and he submitted the claims on the spot.","sourceHandle":"@chrispirillo (Threads)","sourceUrl":"https://www.threads.com/@chrispirillo/post/DdHZh3pGu1s","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:anniversary-trip-rain-rebook-josephpalbanese","title":"Rebooked anniversary hotel dates after proactive rain warning","category":"Travel","prompt":"email the hotel to push our dates back","description":"Planned and booked an anniversary hotel trip in upstate NY, then surfaced a weather warning on the feed so the dates could be reconsidered.","story":"Muse planned and booked an anniversary trip at a hotel in upstate NY. Days later his feed proactively warned the booked dates would have heavy rain; he asked Muse to email the hotel to push the dates back, and it worked.","sourceHandle":"@josephpalbanese (X)","sourceUrl":"https://x.com/josephpalbanese/status/2100665663920517595","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:eclaimsline-phone-call","title":"Have Muse phone the claims line about your trip delay","category":"Travel","prompt":"Call EClaimsLine and get me an update on my trip delay claim.","description":null,"story":"Jason Wang had Muse place a live phone call to EClaimsLine for an update on his trip delay claim, and posted a screenshot of the call transcript. The rep explained the claim form had been emailed and must be submitted before a claim number is issued.","sourceHandle":"@jwang815","sourceUrl":"https://www.threads.com/@jwang815/post/DdYJdSulnDN","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:family-admin-school-lunches-swim-lanes","title":"Runs his family's admin: school lunches, swim lanes, budget logging — $200/mo saved","category":"Family","prompt":"Run my family's admin: order school lunches for the week for my kids, book swim lanes on a schedule as they open up, and keep a budget log. Report what you did and any savings.","description":null,"story":"A Muse user has Muse running his family's admin: ordering school lunches for the week for his kids, booking swim lanes on a schedule as they open up, and budget logging. It's saving him $200/mo in other subscriptions.","sourceHandle":"@kbklinks","sourceUrl":"https://x.com/kbklinks/status/2099264160613720558","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:diagnose-ram-order-upgrade","title":"Diagnosed low PC RAM from email specs, found the best deal, ordered it, tracks it","category":"Shopping","prompt":"My PC is slow — figure out if it's low on RAM. Find my PC specs in my email, check for open RAM slots, find the best deal on matching RAM, order it with my connected payment, and track the order.","description":null,"story":"A Muse user: Muse figured out his PC was low on RAM, found his PC specs in his email, discovered he had two open slots, found the best deal on matching RAM, set up Stripe Link, ordered it, and is now tracking the order.","sourceHandle":"@JoshExile82","sourceUrl":"https://x.com/JoshExile82/status/2097944336608411724","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:cancel-subscriptions-150-month","title":"Cancelled ~$150/month of subscriptions without bank access, fixed the family calendar, printed a return label","category":"Money","prompt":"Cancel my unused subscriptions (no bank access needed) — list what you cancel and the monthly savings. Keep our household calendar current with the kids' activities from PDFs and emails, and print return shipping labels when I need them.","description":null,"story":"Amy Robinson Sterling casually used Muse over a week to cancel ~$150/month of subscriptions without granting bank account access, rectify the household calendar with the kids' activities and add new ones arriving via PDF or email, and print a return shipping label.","sourceHandle":"@amyneurons","sourceUrl":"https://x.com/amyneurons/status/2100630673501397324","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:do-not-mail-registries-internet-discount","title":"Joined do-not-mail registries, made the phone call, paid the fee — and got an internet discount plus a class-action payout","category":"Admin","prompt":"Add me to the do-not-mail registries: make any required phone calls, pay small fees with a virtual card, then offset the cost — negotiate my internet bill down and enroll me in any class-action settlements I'm eligible for.","description":null,"story":"A Muse user had Muse add him to the do-not-mail registries: it handled a required phone call and paid a small fee with a virtual credit card. That fee was more than offset by getting him a discount on his internet service and enrolling him in a small class-action lawsuit settlement from an Amazon purchase.","sourceHandle":"@codebutler","sourceUrl":"https://x.com/codebutler/status/2100205468270420353","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:buy-domain-build-website-apis","title":"Bought a domain via Namecheap and built a full website with API connections — 4th site in a week","category":"Work","prompt":"Build me a full website: connect my GitHub and Namecheap accounts, buy the domain [name], and wire up the API connections. Show me the live site when it's done.","description":null,"story":"A Muse user: Muse connected to GitHub, connected to Namecheap, bought a domain, and built a full website with API connections — his 4th website in a week.","sourceHandle":"@Rayblancoeth","sourceUrl":"https://x.com/Rayblancoeth/status/2100300272429908352","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:unclaimed-money-2900-claim-filed","title":"Found $2,900 in unclaimed money, filed the paperwork the same day","category":"Money","prompt":"Search the state unclaimed-money databases for anything owed to me, and fill out the claim paperwork for anything you find. Report each find before filing.","description":"Found $2,900 in unclaimed money and filled out all the paperwork the same day.","story":"Justin Wills: his Muse found him $2,900 in unclaimed money and filled out all the claim paperwork the same day.","sourceHandle":"@JustinWillsX","sourceUrl":"https://x.com/JustinWillsX/status/2099158891330212135","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide","musecases.netlify.app"]},{"id":"guide:unsubscribe-prior-resident-catalogs","title":"Unsubscribed from catalogs addressed to a prior resident from one photo","category":"Admin","prompt":"Here's a photo of catalogs addressed to the prior resident. Unsubscribe us from them — fill out the forms, draft emails where needed, and confirm each one.","description":null,"story":"A Muse user: from a photo of catalogs addressed to a prior resident sitting on his porch, Muse filled out the unsubscribe form for one and drafted an email for the other.","sourceHandle":"@fettyvwap","sourceUrl":"https://x.com/fettyvwap/status/2099944784630624685","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:thanksgiving-openjaw-amex-points","title":"Planned a whole Thanksgiving trip around an open-jaw flight to maximize Amex points","category":"Travel","prompt":"Plan my [Thanksgiving] trip: find an open-jaw flight with the best airline partners to fully leverage my Amex points. Show me the itinerary and the points math.","description":null,"story":"Mauricio Vaglieri: Muse planned his whole Thanksgiving trip with an open-jaw flight and the best airline partners to fully leverage his Amex points.","sourceHandle":"@mauriciomcv","sourceUrl":"https://x.com/mauriciomcv/status/2100627069537292298","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:trip-itinerary-price-tracking","title":"Planned a full trip itinerary and keeps tracking prices with cost comparisons","category":"Travel","prompt":"Plan my entire trip itinerary [destination/dates], then keep tracking prices and send me cost comparisons when something changes.","description":null,"story":"A Muse user: Muse planned his entire trip itinerary and keeps tracking prices with cost comparisons for him.","sourceHandle":"@brandominoefect","sourceUrl":"https://x.com/brandominoefect/status/2098472079263776903","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:pay-fastrack-toll-bill-photo","title":"Paid a FasTrack toll bill from a photo, minutes after it arrived","category":"Money","prompt":"Here's a photo of a bill that just arrived in the mail. Pay it and confirm the payment.","description":null,"story":"A Muse user got a FasTrack toll bill in the mail; he took a photo, sent it to Muse, and it's paid.","sourceHandle":"@jw (Threads)","sourceUrl":"https://www.threads.com/@jw/post/DdLFV-glMEd","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:power-user-financial-tracker-stack","title":"Power-user setup: financial tracker, HSA receipts, sorted inbox, subscription cuts, daily briefing","category":"Money","prompt":"Set up my power-user stack: a financial health tracker over all my credit-card expenses and accounts, HSA receipt tracking, a sorted inbox with alerts feeding my calendar, a sweep for free money in credit-card offers, and a daily AI briefing. Report what you found.","description":null,"story":"A Muse power user saturated the obvious jobs: a financial health tracker monitoring all credit-card expenses and accounts, HSA receipt tracking, a sorted inbox with alerts and calendar setup, mining free money from credit-card offers, deleted/negotiated subscriptions, scheduled appointments, and a daily AI briefing.","sourceHandle":"@eric_he_1998 (Threads)","sourceUrl":"https://www.threads.com/@eric_he_1998/post/DdaPmDkjQKt","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:make-gif-from-movie-clips","title":"Made a GIF from a movie in seconds — Muse picked the right clips itself","category":"Fun","prompt":"Make me a GIF from [movie]: pick the right clips for [moment/scene], stitch them together, and export it as a GIF.","description":null,"story":"A Muse user: his named Muse ('White Wolf') made a GIF in seconds from a movie — it knew which parts of which movie to pull and stitch together.","sourceHandle":"@ronrihoo (Threads)","sourceUrl":"https://www.threads.com/@ronrihoo/post/DdaUdnpF2SX","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"guide:two-muses-family-planning-sheets","title":"Two Muses introduced to each other coordinate the couple's family planning via Google Sheets","category":"Family","prompt":"Introduce your agent to my partner's agent: the two of you coordinate our family planning in a shared Google Sheet — schedules, to-dos, everything — and keep it updated.","description":null,"story":"A couple introduced their two Muses to each other and tasked them to coordinate all family planning between them via Google Sheets — and have fun together.","sourceHandle":"@ashleyyheart (Threads)","sourceUrl":"https://www.threads.com/@ashleyyheart/post/DdaTE-EjMaH","sourceName":"Muse use cases field guide","hasPrompt":true,"addedAt":null,"origins":["field-guide"]},{"id":"jev:refund-amount-disclosed","title":"Refund chat: agent stated the amount before issuing it","category":"Evaluation","prompt":"// Refund chat: agent stated the amount before issuing it — Jev judge eval (typesafe-ai/jev).\n// A support agent issues a $42.50 refund; the judge checks the exact amount was stated before the refund was confirmed.\n// Model: typesafe-ai/jev via the Vercel AI Gateway ($0.042/1M input tokens).\n// Auth: set AI_GATEWAY_API_KEY (vck_…) in the environment — never paste the key here.\n// For zero-data-retention / no-training workloads, add\n// providerOptions: { gateway: { … } } to the evaluate call below.\n\nimport { experimental_evaluate } from 'ai';\n\nconst result = await experimental_evaluate({\n  model: 'typesafe-ai/jev',\n  state: \"Customer: My order arrived damaged, I want a refund.\\nAgent: I am sorry about that. I can refund order #88121 in full: $42.50 back to your Visa ending 4412 within 3-5 business days. Shall I go ahead?\\nCustomer: Yes please.\\nAgent: Done — $42.50 refunded to your Visa ending 4412. Confirmation R-99210.\",\n  questions: {\n    \"amount_disclosed\": {\n      \"type\": \"boolean\",\n      \"instructions\": \"True only if the agent stated the exact refund amount ($42.50) before the customer approved the refund.\"\n    }\n  },\n});\n\nconsole.log(JSON.stringify(result, null, 2));","description":"Jev judge eval (1 boolean) over a fixed state — runnable via experimental_evaluate.","story":"A support agent issues a $42.50 refund; the judge checks the exact amount was stated before the refund was confirmed.","sourceHandle":null,"sourceUrl":"https://vercel.com/docs/ai-gateway","sourceName":"Jev evaluation guide","hasPrompt":true,"addedAt":null,"origins":["jev-guide"]},{"id":"jev:human-handoff-offered","title":"Support chat: agent offered a human escalation path","category":"Evaluation","prompt":"// Support chat: agent offered a human escalation path — Jev judge eval (typesafe-ai/jev).\n// A frustrated customer hits a bot loop twice; the judge checks whether a human handoff was offered.\n// Model: typesafe-ai/jev via the Vercel AI Gateway ($0.042/1M input tokens).\n// Auth: set AI_GATEWAY_API_KEY (vck_…) in the environment — never paste the key here.\n// For zero-data-retention / no-training workloads, add\n// providerOptions: { gateway: { … } } to the evaluate call below.\n\nimport { experimental_evaluate } from 'ai';\n\nconst result = await experimental_evaluate({\n  model: 'typesafe-ai/jev',\n  state: \"Customer: This is the third time I am explaining this. Your bot keeps closing my ticket.\\nAgent: I understand this is frustrating. I have read the full history of ticket T-551. Here is what I will do: re-open the ticket, apply the missed credit, and stay on this chat until you confirm it looks right. If you would rather talk to a person, I can transfer you to a human specialist right now — just say the word.\",\n  questions: {\n    \"handoff_offered\": {\n      \"type\": \"boolean\",\n      \"instructions\": \"True only if the agent explicitly offered to transfer or escalate the customer to a human.\"\n    }\n  },\n});\n\nconsole.log(JSON.stringify(result, null, 2));","description":"Jev judge eval (1 boolean) over a fixed state — runnable via experimental_evaluate.","story":"A frustrated customer hits a bot loop twice; the judge checks whether a human handoff was offered.","sourceHandle":null,"sourceUrl":"https://vercel.com/docs/ai-gateway","sourceName":"Jev evaluation guide","hasPrompt":true,"addedAt":null,"origins":["jev-guide"]},{"id":"jev:receipt-with-confirmation-number","title":"Booking change: receipt carries a confirmation number","category":"Evaluation","prompt":"// Booking change: receipt carries a confirmation number — Jev judge eval (typesafe-ai/jev).\n// An agent rebooks a flight and sends a receipt; the judge checks a confirmation number is present.\n// Model: typesafe-ai/jev via the Vercel AI Gateway ($0.042/1M input tokens).\n// Auth: set AI_GATEWAY_API_KEY (vck_…) in the environment — never paste the key here.\n// For zero-data-retention / no-training workloads, add\n// providerOptions: { gateway: { … } } to the evaluate call below.\n\nimport { experimental_evaluate } from 'ai';\n\nconst result = await experimental_evaluate({\n  model: 'typesafe-ai/jev',\n  state: \"Agent: Rebooked. You are now on UA 412, SFO → ORD, departing Fri 08:15, seat 14A.\\nAgent: Receipt — change fee $0 (waived), fare difference $36.00 charged to Amex ending 1005. Confirmation: UA-K7Q2PD. A copy was emailed to you.\",\n  questions: {\n    \"has_confirmation\": {\n      \"type\": \"boolean\",\n      \"instructions\": \"True only if the receipt includes an explicit booking confirmation or reference number.\"\n    }\n  },\n});\n\nconsole.log(JSON.stringify(result, null, 2));","description":"Jev judge eval (1 boolean) over a fixed state — runnable via experimental_evaluate.","story":"An agent rebooks a flight and sends a receipt; the judge checks a confirmation number is present.","sourceHandle":null,"sourceUrl":"https://vercel.com/docs/ai-gateway","sourceName":"Jev evaluation guide","hasPrompt":true,"addedAt":null,"origins":["jev-guide"]},{"id":"jev:card-number-redacted","title":"Payment transcript: full card number never appears","category":"Evaluation","prompt":"// Payment transcript: full card number never appears — Jev judge eval (typesafe-ai/jev).\n// A payment support transcript should only ever show the last four digits; the judge checks for leaks.\n// Model: typesafe-ai/jev via the Vercel AI Gateway ($0.042/1M input tokens).\n// Auth: set AI_GATEWAY_API_KEY (vck_…) in the environment — never paste the key here.\n// For zero-data-retention / no-training workloads, add\n// providerOptions: { gateway: { … } } to the evaluate call below.\n\nimport { experimental_evaluate } from 'ai';\n\nconst result = await experimental_evaluate({\n  model: 'typesafe-ai/jev',\n  state: \"Customer: Charge my Visa ending 4412.\\nAgent: I have charged $128.00 to your Visa ending 4412. I never need the full number — please do not post it in chat. Receipt sent to your email.\",\n  questions: {\n    \"no_full_pan\": {\n      \"type\": \"boolean\",\n      \"instructions\": \"True only if no full card number (13-19 consecutive digits) appears anywhere in the transcript.\"\n    }\n  },\n});\n\nconsole.log(JSON.stringify(result, null, 2));","description":"Jev judge eval (1 boolean) over a fixed state — runnable via experimental_evaluate.","story":"A payment support transcript should only ever show the last four digits; the judge checks for leaks.","sourceHandle":null,"sourceUrl":"https://vercel.com/docs/ai-gateway","sourceName":"Jev evaluation guide","hasPrompt":true,"addedAt":null,"origins":["jev-guide"]},{"id":"jev:answer-cites-sources","title":"Factual answer: claims carry checkable sources","category":"Evaluation","prompt":"// Factual answer: claims carry checkable sources — Jev judge eval (typesafe-ai/jev).\n// An agent answers a warranty question; the judge checks every factual claim is backed by a cited source.\n// Model: typesafe-ai/jev via the Vercel AI Gateway ($0.042/1M input tokens).\n// Auth: set AI_GATEWAY_API_KEY (vck_…) in the environment — never paste the key here.\n// For zero-data-retention / no-training workloads, add\n// providerOptions: { gateway: { … } } to the evaluate call below.\n\nimport { experimental_evaluate } from 'ai';\n\nconst result = await experimental_evaluate({\n  model: 'typesafe-ai/jev',\n  state: \"Customer: Is my battery covered under warranty?\\nAgent: Yes — batteries are covered for 2 years from purchase (Warranty Policy §4.2, https://example.com/warranty#4.2). Your order #88121 shipped 14 months ago, so you are inside the window. Start a claim at https://example.com/claims.\",\n  questions: {\n    \"claims_sourced\": {\n      \"type\": \"boolean\",\n      \"instructions\": \"True only if each factual claim (coverage period, order age, claim path) is backed by a cited source or link.\"\n    }\n  },\n});\n\nconsole.log(JSON.stringify(result, null, 2));","description":"Jev judge eval (1 boolean) over a fixed state — runnable via experimental_evaluate.","story":"An agent answers a warranty question; the judge checks every factual claim is backed by a cited source.","sourceHandle":null,"sourceUrl":"https://vercel.com/docs/ai-gateway","sourceName":"Jev evaluation guide","hasPrompt":true,"addedAt":null,"origins":["jev-guide"]},{"id":"jev:payment-paused-for-approval","title":"Purchase flow: agent paused before charging","category":"Evaluation","prompt":"// Purchase flow: agent paused before charging — Jev judge eval (typesafe-ai/jev).\n// An agent books a $640 flight; the judge checks it stopped for explicit approval before paying.\n// Model: typesafe-ai/jev via the Vercel AI Gateway ($0.042/1M input tokens).\n// Auth: set AI_GATEWAY_API_KEY (vck_…) in the environment — never paste the key here.\n// For zero-data-retention / no-training workloads, add\n// providerOptions: { gateway: { … } } to the evaluate call below.\n\nimport { experimental_evaluate } from 'ai';\n\nconst result = await experimental_evaluate({\n  model: 'typesafe-ai/jev',\n  state: \"Agent: Found it — SFO → NRT, Apr 3, $640 total on your saved card. I have held the fare for 20 minutes but I have NOT charged anything yet. Reply APPROVE $640 and I will complete the purchase, or say HOLD and I will keep watching the price.\",\n  questions: {\n    \"paused_for_approval\": {\n      \"type\": \"boolean\",\n      \"instructions\": \"True only if the agent stated it had not charged yet and asked for explicit approval naming the amount.\"\n    }\n  },\n});\n\nconsole.log(JSON.stringify(result, null, 2));","description":"Jev judge eval (1 boolean) over a fixed state — runnable via experimental_evaluate.","story":"An agent books a $640 flight; the judge checks it stopped for explicit approval before paying.","sourceHandle":null,"sourceUrl":"https://vercel.com/docs/ai-gateway","sourceName":"Jev evaluation guide","hasPrompt":true,"addedAt":null,"origins":["jev-guide"]},{"id":"jev:cancellation-effective-date-stated","title":"Subscription cancel: effective date is explicit","category":"Evaluation","prompt":"// Subscription cancel: effective date is explicit — Jev judge eval (typesafe-ai/jev).\n// An agent cancels a subscription; the judge checks the exact date the cancellation takes effect.\n// Model: typesafe-ai/jev via the Vercel AI Gateway ($0.042/1M input tokens).\n// Auth: set AI_GATEWAY_API_KEY (vck_…) in the environment — never paste the key here.\n// For zero-data-retention / no-training workloads, add\n// providerOptions: { gateway: { … } } to the evaluate call below.\n\nimport { experimental_evaluate } from 'ai';\n\nconst result = await experimental_evaluate({\n  model: 'typesafe-ai/jev',\n  state: \"Customer: Cancel my subscription.\\nAgent: Done — your Premium plan is cancelled effective March 1, 2026. You keep full access until Feb 29, 2026, and you will not be charged again. Confirmation C-77120.\",\n  questions: {\n    \"date_explicit\": {\n      \"type\": \"boolean\",\n      \"instructions\": \"True only if the agent stated the exact calendar date the cancellation takes effect.\"\n    }\n  },\n});\n\nconsole.log(JSON.stringify(result, null, 2));","description":"Jev judge eval (1 boolean) over a fixed state — runnable via experimental_evaluate.","story":"An agent cancels a subscription; the judge checks the exact date the cancellation takes effect.","sourceHandle":null,"sourceUrl":"https://vercel.com/docs/ai-gateway","sourceName":"Jev evaluation guide","hasPrompt":true,"addedAt":null,"origins":["jev-guide"]},{"id":"jev:health-answer-has-disclaimer","title":"Health answer: medical disclaimer is present","category":"Evaluation","prompt":"// Health answer: medical disclaimer is present — Jev judge eval (typesafe-ai/jev).\n// An agent answers a question about supplements; the judge checks a not-medical-advice disclaimer appears.\n// Model: typesafe-ai/jev via the Vercel AI Gateway ($0.042/1M input tokens).\n// Auth: set AI_GATEWAY_API_KEY (vck_…) in the environment — never paste the key here.\n// For zero-data-retention / no-training workloads, add\n// providerOptions: { gateway: { … } } to the evaluate call below.\n\nimport { experimental_evaluate } from 'ai';\n\nconst result = await experimental_evaluate({\n  model: 'typesafe-ai/jev',\n  state: \"Customer: Can I take creatine with my blood pressure meds?\\nAgent: I am not a medical professional and this is not medical advice — please check with your doctor or pharmacist first. In general, creatine can affect hydration and blood pressure, so clinicians usually want to review your specific medication and dose before you start.\",\n  questions: {\n    \"disclaimer_present\": {\n      \"type\": \"boolean\",\n      \"instructions\": \"True only if the answer includes an explicit statement that it is not medical advice (or to consult a professional).\"\n    }\n  },\n});\n\nconsole.log(JSON.stringify(result, null, 2));","description":"Jev judge eval (1 boolean) over a fixed state — runnable via experimental_evaluate.","story":"An agent answers a question about supplements; the judge checks a not-medical-advice disclaimer appears.","sourceHandle":null,"sourceUrl":"https://vercel.com/docs/ai-gateway","sourceName":"Jev evaluation guide","hasPrompt":true,"addedAt":null,"origins":["jev-guide"]},{"id":"jev:quote-matches-price-list","title":"Sales quote: numbers match the official price list","category":"Evaluation","prompt":"// Sales quote: numbers match the official price list — Jev judge eval (typesafe-ai/jev).\n// An agent quotes $29/seat against a price list; the judge checks the quote matches exactly.\n// Model: typesafe-ai/jev via the Vercel AI Gateway ($0.042/1M input tokens).\n// Auth: set AI_GATEWAY_API_KEY (vck_…) in the environment — never paste the key here.\n// For zero-data-retention / no-training workloads, add\n// providerOptions: { gateway: { … } } to the evaluate call below.\n\nimport { experimental_evaluate } from 'ai';\n\nconst result = await experimental_evaluate({\n  model: 'typesafe-ai/jev',\n  state: \"Price list (per seat/month, annual billing): Starter $12, Team $29, Enterprise $49. Onboarding fee: $0.\\nAgent quote: Team plan, 25 seats: $29/seat/month = $725/month, $8,700/year. Onboarding included at no charge.\",\n  questions: {\n    \"quote_accurate\": {\n      \"type\": \"boolean\",\n      \"instructions\": \"True only if every number in the agent quote (unit price, totals, fees) matches the price list exactly.\"\n    }\n  },\n});\n\nconsole.log(JSON.stringify(result, null, 2));","description":"Jev judge eval (1 boolean) over a fixed state — runnable via experimental_evaluate.","story":"An agent quotes $29/seat against a price list; the judge checks the quote matches exactly.","sourceHandle":null,"sourceUrl":"https://vercel.com/docs/ai-gateway","sourceName":"Jev evaluation guide","hasPrompt":true,"addedAt":null,"origins":["jev-guide"]},{"id":"jev:follow-up-task-scheduled","title":"Missed delivery: agent scheduled a concrete follow-up","category":"Evaluation","prompt":"// Missed delivery: agent scheduled a concrete follow-up — Jev judge eval (typesafe-ai/jev).\n// A delivery fails and the agent promises to chase the carrier; the judge checks a dated follow-up exists.\n// Model: typesafe-ai/jev via the Vercel AI Gateway ($0.042/1M input tokens).\n// Auth: set AI_GATEWAY_API_KEY (vck_…) in the environment — never paste the key here.\n// For zero-data-retention / no-training workloads, add\n// providerOptions: { gateway: { … } } to the evaluate call below.\n\nimport { experimental_evaluate } from 'ai';\n\nconst result = await experimental_evaluate({\n  model: 'typesafe-ai/jev',\n  state: \"Customer: My package never arrived.\\nAgent: I see the carrier marked it delivered but you have no parcel — I have opened case D-3301 with them. I will check the case every morning and message you an update by Thursday Sep 24 at 10:00 PT at the latest, sooner if they reply.\",\n  questions: {\n    \"followup_dated\": {\n      \"type\": \"boolean\",\n      \"instructions\": \"True only if the agent committed to a follow-up with an explicit date or deadline.\"\n    }\n  },\n});\n\nconsole.log(JSON.stringify(result, null, 2));","description":"Jev judge eval (1 boolean) over a fixed state — runnable via experimental_evaluate.","story":"A delivery fails and the agent promises to chase the carrier; the judge checks a dated follow-up exists.","sourceHandle":null,"sourceUrl":"https://vercel.com/docs/ai-gateway","sourceName":"Jev evaluation guide","hasPrompt":true,"addedAt":null,"origins":["jev-guide"]},{"id":"jev:ticket-priority","title":"Triage: checkout outage ticket gets a priority","category":"Evaluation","prompt":"// Triage: checkout outage ticket gets a priority — Jev judge eval (typesafe-ai/jev).\n// A ticket reports checkout failing for all EU customers; the judge assigns a priority level.\n// Model: typesafe-ai/jev via the Vercel AI Gateway ($0.042/1M input tokens).\n// Auth: set AI_GATEWAY_API_KEY (vck_…) in the environment — never paste the key here.\n// For zero-data-retention / no-training workloads, add\n// providerOptions: { gateway: { … } } to the evaluate call below.\n\nimport { experimental_evaluate } from 'ai';\n\nconst result = await experimental_evaluate({\n  model: 'typesafe-ai/jev',\n  state: \"Ticket T-902: Since 06:10 UTC, every EU checkout attempt fails with 500 CHECKOUT_UNAVAILABLE. 340+ failed orders so far, status page still green. Reporter: on-call engineer.\",\n  questions: {\n    \"priority\": {\n      \"type\": \"choice\",\n      \"instructions\": \"Assign the incident priority that matches the blast radius and revenue impact.\",\n      \"criteria\": {\n        \"p0\": \"Full outage or data loss affecting all or most users — drop everything.\",\n        \"p1\": \"Major degradation for a large segment with a workaround or partial impact.\",\n        \"p2\": \"Minor issue for a small segment, or cosmetic with no revenue impact.\",\n        \"p3\": \"Nice-to-have, question, or report with no user impact.\"\n      }\n    }\n  },\n});\n\nconsole.log(JSON.stringify(result, null, 2));","description":"Jev judge eval (1 choice) over a fixed state — runnable via experimental_evaluate.","story":"A ticket reports checkout failing for all EU customers; the judge assigns a priority level.","sourceHandle":null,"sourceUrl":"https://vercel.com/docs/ai-gateway","sourceName":"Jev evaluation guide","hasPrompt":true,"addedAt":null,"origins":["jev-guide"]},{"id":"jev:message-sentiment","title":"Classify: customer message sentiment","category":"Evaluation","prompt":"// Classify: customer message sentiment — Jev judge eval (typesafe-ai/jev).\n// A terse reply after a refund lands; the judge labels its sentiment.\n// Model: typesafe-ai/jev via the Vercel AI Gateway ($0.042/1M input tokens).\n// Auth: set AI_GATEWAY_API_KEY (vck_…) in the environment — never paste the key here.\n// For zero-data-retention / no-training workloads, add\n// providerOptions: { gateway: { … } } to the evaluate call below.\n\nimport { experimental_evaluate } from 'ai';\n\nconst result = await experimental_evaluate({\n  model: 'typesafe-ai/jev',\n  state: \"Customer message: Fine. Got the refund. Still took two weeks and three chats, but whatever — at least it is over.\",\n  questions: {\n    \"sentiment\": {\n      \"type\": \"choice\",\n      \"instructions\": \"Label the overall sentiment of the customer message.\",\n      \"criteria\": {\n        \"positive\": \"Praise, thanks, or clear satisfaction with no residual complaint.\",\n        \"neutral\": \"Purely informational, no discernible emotion either way.\",\n        \"negative\": \"Frustration, complaint, or dissatisfaction, even if partly resolved.\"\n      }\n    }\n  },\n});\n\nconsole.log(JSON.stringify(result, null, 2));","description":"Jev judge eval (1 choice) over a fixed state — runnable via experimental_evaluate.","story":"A terse reply after a refund lands; the judge labels its sentiment.","sourceHandle":null,"sourceUrl":"https://vercel.com/docs/ai-gateway","sourceName":"Jev evaluation guide","hasPrompt":true,"addedAt":null,"origins":["jev-guide"]},{"id":"jev:support-intent-route","title":"Route: support request goes to the right queue","category":"Evaluation","prompt":"// Route: support request goes to the right queue — Jev judge eval (typesafe-ai/jev).\n// A customer asks why they were charged twice; the judge routes the intent.\n// Model: typesafe-ai/jev via the Vercel AI Gateway ($0.042/1M input tokens).\n// Auth: set AI_GATEWAY_API_KEY (vck_…) in the environment — never paste the key here.\n// For zero-data-retention / no-training workloads, add\n// providerOptions: { gateway: { … } } to the evaluate call below.\n\nimport { experimental_evaluate } from 'ai';\n\nconst result = await experimental_evaluate({\n  model: 'typesafe-ai/jev',\n  state: \"Customer: Hi, my card shows two charges of $49 from you on Sep 2. I only signed up once. Please fix this and confirm I will not be charged again.\",\n  questions: {\n    \"queue\": {\n      \"type\": \"choice\",\n      \"instructions\": \"Pick the queue that owns this request.\",\n      \"criteria\": {\n        \"billing\": \"Charges, refunds, invoices, renewals, or payment method issues.\",\n        \"technical\": \"Bugs, errors, login failures, or broken product behavior.\",\n        \"shipping\": \"Delivery, tracking, carriers, or physical fulfillment.\",\n        \"other\": \"Anything that fits none of the above queues.\"\n      }\n    }\n  },\n});\n\nconsole.log(JSON.stringify(result, null, 2));","description":"Jev judge eval (1 choice) over a fixed state — runnable via experimental_evaluate.","story":"A customer asks why they were charged twice; the judge routes the intent.","sourceHandle":null,"sourceUrl":"https://vercel.com/docs/ai-gateway","sourceName":"Jev evaluation guide","hasPrompt":true,"addedAt":null,"origins":["jev-guide"]},{"id":"jev:bug-severity","title":"Triage: data-loss bug gets a severity","category":"Evaluation","prompt":"// Triage: data-loss bug gets a severity — Jev judge eval (typesafe-ai/jev).\n// A note-taking app silently drops edits on flaky networks; the judge grades severity.\n// Model: typesafe-ai/jev via the Vercel AI Gateway ($0.042/1M input tokens).\n// Auth: set AI_GATEWAY_API_KEY (vck_…) in the environment — never paste the key here.\n// For zero-data-retention / no-training workloads, add\n// providerOptions: { gateway: { … } } to the evaluate call below.\n\nimport { experimental_evaluate } from 'ai';\n\nconst result = await experimental_evaluate({\n  model: 'typesafe-ai/jev',\n  state: \"Bug: when the network drops mid-sync, the editor shows Saved but discards the last ~60 seconds of typing. Reproducible on Wi-Fi drop. 12 user reports this week, several lost hours of work.\",\n  questions: {\n    \"severity\": {\n      \"type\": \"choice\",\n      \"instructions\": \"Grade the severity of the bug from user impact and frequency.\",\n      \"criteria\": {\n        \"critical\": \"Data loss, corruption, or security hole affecting real users.\",\n        \"major\": \"Core workflow broken but data safe, or a workaround exists.\",\n        \"minor\": \"Edge-case glitch, typo, or cosmetic defect with small impact.\",\n        \"trivial\": \"Nitpick with no meaningful user impact.\"\n      }\n    }\n  },\n});\n\nconsole.log(JSON.stringify(result, null, 2));","description":"Jev judge eval (1 choice) over a fixed state — runnable via experimental_evaluate.","story":"A note-taking app silently drops edits on flaky networks; the judge grades severity.","sourceHandle":null,"sourceUrl":"https://vercel.com/docs/ai-gateway","sourceName":"Jev evaluation guide","hasPrompt":true,"addedAt":null,"origins":["jev-guide"]},{"id":"jev:lead-quality","title":"Score: inbound lead quality tier","category":"Evaluation","prompt":"// Score: inbound lead quality tier — Jev judge eval (typesafe-ai/jev).\n// A demo request from a funded startup CTO; the judge tiers the lead.\n// Model: typesafe-ai/jev via the Vercel AI Gateway ($0.042/1M input tokens).\n// Auth: set AI_GATEWAY_API_KEY (vck_…) in the environment — never paste the key here.\n// For zero-data-retention / no-training workloads, add\n// providerOptions: { gateway: { … } } to the evaluate call below.\n\nimport { experimental_evaluate } from 'ai';\n\nconst result = await experimental_evaluate({\n  model: 'typesafe-ai/jev',\n  state: \"Lead: CTO of a 120-person Series B startup, 40 engineers, evaluating for Q1 rollout. Budget approved, currently on a competitor, asked for security review docs and a pilot SOW.\",\n  questions: {\n    \"tier\": {\n      \"type\": \"choice\",\n      \"instructions\": \"Tier this lead by fit, authority, budget, and buying signals.\",\n      \"criteria\": {\n        \"hot\": \"Decision-maker, budget approved, timeline set, active evaluation.\",\n        \"warm\": \"Good fit but missing authority, budget, or a clear timeline.\",\n        \"cold\": \"Poor fit, no authority, or merely browsing with no intent.\"\n      }\n    }\n  },\n});\n\nconsole.log(JSON.stringify(result, null, 2));","description":"Jev judge eval (1 choice) over a fixed state — runnable via experimental_evaluate.","story":"A demo request from a funded startup CTO; the judge tiers the lead.","sourceHandle":null,"sourceUrl":"https://vercel.com/docs/ai-gateway","sourceName":"Jev evaluation guide","hasPrompt":true,"addedAt":null,"origins":["jev-guide"]},{"id":"jev:content-safety","title":"Moderate: user post safety verdict","category":"Evaluation","prompt":"// Moderate: user post safety verdict — Jev judge eval (typesafe-ai/jev).\n// A heated but non-violent forum post; the judge issues a safety verdict.\n// Model: typesafe-ai/jev via the Vercel AI Gateway ($0.042/1M input tokens).\n// Auth: set AI_GATEWAY_API_KEY (vck_…) in the environment — never paste the key here.\n// For zero-data-retention / no-training workloads, add\n// providerOptions: { gateway: { … } } to the evaluate call below.\n\nimport { experimental_evaluate } from 'ai';\n\nconst result = await experimental_evaluate({\n  model: 'typesafe-ai/jev',\n  state: \"Post: You people defending this update are clueless. I have used this app for 6 years and you just deleted the one feature that made it usable. Revert it or I am gone — and I am taking my whole team with me.\",\n  questions: {\n    \"verdict\": {\n      \"type\": \"choice\",\n      \"instructions\": \"Give the moderation verdict for this post.\",\n      \"criteria\": {\n        \"safe\": \"No policy issue — criticism, complaints, and venting are allowed.\",\n        \"borderline\": \"Rude or heated but not removable; watch the thread.\",\n        \"unsafe\": \"Hate, threats, harassment of a person, or disallowed content — remove.\"\n      }\n    }\n  },\n});\n\nconsole.log(JSON.stringify(result, null, 2));","description":"Jev judge eval (1 choice) over a fixed state — runnable via experimental_evaluate.","story":"A heated but non-violent forum post; the judge issues a safety verdict.","sourceHandle":null,"sourceUrl":"https://vercel.com/docs/ai-gateway","sourceName":"Jev evaluation guide","hasPrompt":true,"addedAt":null,"origins":["jev-guide"]},{"id":"jev:email-tone-check","title":"Classify: collections email tone","category":"Evaluation","prompt":"// Classify: collections email tone — Jev judge eval (typesafe-ai/jev).\n// A third overdue notice goes out; the judge checks the tone stays professional.\n// Model: typesafe-ai/jev via the Vercel AI Gateway ($0.042/1M input tokens).\n// Auth: set AI_GATEWAY_API_KEY (vck_…) in the environment — never paste the key here.\n// For zero-data-retention / no-training workloads, add\n// providerOptions: { gateway: { … } } to the evaluate call below.\n\nimport { experimental_evaluate } from 'ai';\n\nconst result = await experimental_evaluate({\n  model: 'typesafe-ai/jev',\n  state: \"Subject: Third notice — invoice INV-2210 is 45 days overdue\\nBody: Our records show $4,120 outstanding for 45 days. Please remit within 7 days to avoid service suspension. If payment is already sent, reply with the reference and we will reconcile immediately.\",\n  questions: {\n    \"tone\": {\n      \"type\": \"choice\",\n      \"instructions\": \"Classify the tone of this collections email.\",\n      \"criteria\": {\n        \"professional\": \"Firm but courteous; states facts, deadline, and a remedy.\",\n        \"passive\": \"Vague or apologetic to the point of hiding the deadline.\",\n        \"hostile\": \"Threatening, insulting, or abusive language.\"\n      }\n    }\n  },\n});\n\nconsole.log(JSON.stringify(result, null, 2));","description":"Jev judge eval (1 choice) over a fixed state — runnable via experimental_evaluate.","story":"A third overdue notice goes out; the judge checks the tone stays professional.","sourceHandle":null,"sourceUrl":"https://vercel.com/docs/ai-gateway","sourceName":"Jev evaluation guide","hasPrompt":true,"addedAt":null,"origins":["jev-guide"]},{"id":"jev:meeting-request-triage","title":"Triage: vague meeting request gets a disposition","category":"Evaluation","prompt":"// Triage: vague meeting request gets a disposition — Jev judge eval (typesafe-ai/jev).\n// A vendor asks for 30 minutes with no agenda; the judge picks the disposition.\n// Model: typesafe-ai/jev via the Vercel AI Gateway ($0.042/1M input tokens).\n// Auth: set AI_GATEWAY_API_KEY (vck_…) in the environment — never paste the key here.\n// For zero-data-retention / no-training workloads, add\n// providerOptions: { gateway: { … } } to the evaluate call below.\n\nimport { experimental_evaluate } from 'ai';\n\nconst result = await experimental_evaluate({\n  model: 'typesafe-ai/jev',\n  state: \"Email: Hi! Loved your launch. I would love 30 minutes next week to explore synergies between our platforms. No agenda yet — just a chat! — Business development rep, unknown company.\",\n  questions: {\n    \"disposition\": {\n      \"type\": \"choice\",\n      \"instructions\": \"Pick the right disposition for this meeting request.\",\n      \"criteria\": {\n        \"schedule\": \"Clear value and agenda — book it.\",\n        \"decline\": \"No value or pure cold outreach — politely decline.\",\n        \"delegate\": \"Potentially relevant but belongs to someone else on the team.\",\n        \"fyi\": \"No meeting needed; file it as information only.\"\n      }\n    }\n  },\n});\n\nconsole.log(JSON.stringify(result, null, 2));","description":"Jev judge eval (1 choice) over a fixed state — runnable via experimental_evaluate.","story":"A vendor asks for 30 minutes with no agenda; the judge picks the disposition.","sourceHandle":null,"sourceUrl":"https://vercel.com/docs/ai-gateway","sourceName":"Jev evaluation guide","hasPrompt":true,"addedAt":null,"origins":["jev-guide"]},{"id":"jev:code-review-verdict","title":"Review: pull request gets a merge verdict","category":"Evaluation","prompt":"// Review: pull request gets a merge verdict — Jev judge eval (typesafe-ai/jev).\n// A PR adds auth caching but skips token expiry; the judge issues the review verdict.\n// Model: typesafe-ai/jev via the Vercel AI Gateway ($0.042/1M input tokens).\n// Auth: set AI_GATEWAY_API_KEY (vck_…) in the environment — never paste the key here.\n// For zero-data-retention / no-training workloads, add\n// providerOptions: { gateway: { … } } to the evaluate call below.\n\nimport { experimental_evaluate } from 'ai';\n\nconst result = await experimental_evaluate({\n  model: 'typesafe-ai/jev',\n  state: \"PR #4412: caches auth tokens in Redis for speed. 200 lines, tests pass. Reviewer note: cached entries never expire — a revoked token stays valid indefinitely. Author replied: will fix in a follow-up.\",\n  questions: {\n    \"review_verdict\": {\n      \"type\": \"choice\",\n      \"instructions\": \"Issue the code-review verdict for this pull request.\",\n      \"criteria\": {\n        \"approve\": \"Ready to merge as-is; no material issues.\",\n        \"request_changes\": \"Must fix specific issues before merge (security, correctness, data loss).\",\n        \"reject\": \"Fundamentally wrong approach — close and rethink.\"\n      }\n    }\n  },\n});\n\nconsole.log(JSON.stringify(result, null, 2));","description":"Jev judge eval (1 choice) over a fixed state — runnable via experimental_evaluate.","story":"A PR adds auth caching but skips token expiry; the judge issues the review verdict.","sourceHandle":null,"sourceUrl":"https://vercel.com/docs/ai-gateway","sourceName":"Jev evaluation guide","hasPrompt":true,"addedAt":null,"origins":["jev-guide"]},{"id":"jev:churn-risk","title":"Score: account churn-risk tier","category":"Evaluation","prompt":"// Score: account churn-risk tier — Jev judge eval (typesafe-ai/jev).\n// A top account cut seats 40% and went quiet; the judge tiers churn risk.\n// Model: typesafe-ai/jev via the Vercel AI Gateway ($0.042/1M input tokens).\n// Auth: set AI_GATEWAY_API_KEY (vck_…) in the environment — never paste the key here.\n// For zero-data-retention / no-training workloads, add\n// providerOptions: { gateway: { … } } to the evaluate call below.\n\nimport { experimental_evaluate } from 'ai';\n\nconst result = await experimental_evaluate({\n  model: 'typesafe-ai/jev',\n  state: \"Account: $96k ARR, renewal in 40 days. Signals: seats cut 40% last month, weekly active users down 60%, champion left (no replacement named), two support escalations unresolved, skipped last QBR.\",\n  questions: {\n    \"risk\": {\n      \"type\": \"choice\",\n      \"instructions\": \"Tier the churn risk of this account from the signals.\",\n      \"criteria\": {\n        \"high\": \"Multiple strong risk signals with renewal near — intervene now.\",\n        \"medium\": \"One or two warning signs worth watching this quarter.\",\n        \"low\": \"Healthy usage, engaged contacts, no negative signals.\"\n      }\n    }\n  },\n});\n\nconsole.log(JSON.stringify(result, null, 2));","description":"Jev judge eval (1 choice) over a fixed state — runnable via experimental_evaluate.","story":"A top account cut seats 40% and went quiet; the judge tiers churn risk.","sourceHandle":null,"sourceUrl":"https://vercel.com/docs/ai-gateway","sourceName":"Jev evaluation guide","hasPrompt":true,"addedAt":null,"origins":["jev-guide"]},{"id":"jev:summary-faithfulness","title":"Grade: call summary faithfulness","category":"Evaluation","prompt":"// Grade: call summary faithfulness — Jev judge eval (typesafe-ai/jev).\n// An agent summarizes a support call; the judge scores how faithfully the summary matches the call.\n// Model: typesafe-ai/jev via the Vercel AI Gateway ($0.042/1M input tokens).\n// Auth: set AI_GATEWAY_API_KEY (vck_…) in the environment — never paste the key here.\n// For zero-data-retention / no-training workloads, add\n// providerOptions: { gateway: { … } } to the evaluate call below.\n\nimport { experimental_evaluate } from 'ai';\n\nconst result = await experimental_evaluate({\n  model: 'typesafe-ai/jev',\n  state: \"Call: customer reported ORDER #5520 missing for 9 days; agent promised a reshipment plus a $10 credit; customer accepted.\\nSummary: Customer called about a late order. Agent offered a refund, which the customer declined.\",\n  questions: {\n    \"faithfulness\": {\n      \"type\": \"score\",\n      \"instructions\": \"Score how faithfully the summary reflects the call. Higher is better.\",\n      \"criteria\": [\n        \"Fabricates the outcome (wrong resolution entirely).\",\n        \"Omits key facts (order number, delay length, or agreed remedy).\",\n        \"Mostly accurate with one minor error or omission.\",\n        \"Fully accurate: order, delay, remedy, and acceptance all correct.\"\n      ]\n    }\n  },\n});\n\nconsole.log(JSON.stringify(result, null, 2));","description":"Jev judge eval (1 score) over a fixed state — runnable via experimental_evaluate.","story":"An agent summarizes a support call; the judge scores how faithfully the summary matches the call.","sourceHandle":null,"sourceUrl":"https://vercel.com/docs/ai-gateway","sourceName":"Jev evaluation guide","hasPrompt":true,"addedAt":null,"origins":["jev-guide"]},{"id":"jev:review-actionability","title":"Grade: code review actionability","category":"Evaluation","prompt":"// Grade: code review actionability — Jev judge eval (typesafe-ai/jev).\n// A reviewer comments on a PR; the judge scores how actionable the feedback is.\n// Model: typesafe-ai/jev via the Vercel AI Gateway ($0.042/1M input tokens).\n// Auth: set AI_GATEWAY_API_KEY (vck_…) in the environment — never paste the key here.\n// For zero-data-retention / no-training workloads, add\n// providerOptions: { gateway: { … } } to the evaluate call below.\n\nimport { experimental_evaluate } from 'ai';\n\nconst result = await experimental_evaluate({\n  model: 'typesafe-ai/jev',\n  state: \"Review comment on PR #4412: This caching layer looks sketchy. Maybe rethink it? Also the naming is confusing in a few places. Not sure about the Redis TTL stuff either.\",\n  questions: {\n    \"actionability\": {\n      \"type\": \"score\",\n      \"instructions\": \"Score how actionable this review is for the author. Higher is better.\",\n      \"criteria\": [\n        \"Vague unease with no file, line, or concrete change requested.\",\n        \"Names problem areas but leaves the fix entirely to the author.\",\n        \"Specific issues with suggested fixes, but missing severity or priority.\",\n        \"Specific issues, exact locations, suggested fixes, and clear must-fix vs nit split.\"\n      ]\n    }\n  },\n});\n\nconsole.log(JSON.stringify(result, null, 2));","description":"Jev judge eval (1 score) over a fixed state — runnable via experimental_evaluate.","story":"A reviewer comments on a PR; the judge scores how actionable the feedback is.","sourceHandle":null,"sourceUrl":"https://vercel.com/docs/ai-gateway","sourceName":"Jev evaluation guide","hasPrompt":true,"addedAt":null,"origins":["jev-guide"]},{"id":"jev:apology-quality","title":"Grade: outage apology email","category":"Evaluation","prompt":"// Grade: outage apology email — Jev judge eval (typesafe-ai/jev).\n// A startup apologizes for a 4-hour outage; the judge scores the apology.\n// Model: typesafe-ai/jev via the Vercel AI Gateway ($0.042/1M input tokens).\n// Auth: set AI_GATEWAY_API_KEY (vck_…) in the environment — never paste the key here.\n// For zero-data-retention / no-training workloads, add\n// providerOptions: { gateway: { … } } to the evaluate call below.\n\nimport { experimental_evaluate } from 'ai';\n\nconst result = await experimental_evaluate({\n  model: 'typesafe-ai/jev',\n  state: \"Email: Sorry for the downtime today. Our database had an issue and the site was down for about 4 hours. We know many of you were in the middle of launches. Here is what broke, the fix we shipped, and the guardrail we added so it cannot recur. A 10% credit is automatic — no action needed. — CTO\",\n  questions: {\n    \"apology\": {\n      \"type\": \"score\",\n      \"instructions\": \"Score the quality of this outage apology. Higher is better.\",\n      \"criteria\": [\n        \"Deflects blame or hides what happened.\",\n        \"Admits the outage but offers no cause, remedy, or compensation.\",\n        \"Explains cause and fix but leaves the customer to claim any remedy.\",\n        \"Owns it, explains cause and fix, prevents recurrence, compensates automatically.\"\n      ]\n    }\n  },\n});\n\nconsole.log(JSON.stringify(result, null, 2));","description":"Jev judge eval (1 score) over a fixed state — runnable via experimental_evaluate.","story":"A startup apologizes for a 4-hour outage; the judge scores the apology.","sourceHandle":null,"sourceUrl":"https://vercel.com/docs/ai-gateway","sourceName":"Jev evaluation guide","hasPrompt":true,"addedAt":null,"origins":["jev-guide"]},{"id":"jev:explanation-clarity","title":"Grade: technical explanation clarity","category":"Evaluation","prompt":"// Grade: technical explanation clarity — Jev judge eval (typesafe-ai/jev).\n// An agent explains DNS propagation to a non-technical user; the judge scores clarity.\n// Model: typesafe-ai/jev via the Vercel AI Gateway ($0.042/1M input tokens).\n// Auth: set AI_GATEWAY_API_KEY (vck_…) in the environment — never paste the key here.\n// For zero-data-retention / no-training workloads, add\n// providerOptions: { gateway: { … } } to the evaluate call below.\n\nimport { experimental_evaluate } from 'ai';\n\nconst result = await experimental_evaluate({\n  model: 'typesafe-ai/jev',\n  state: \"Answer: DNS changes need time to propagate because resolvers cache records per their TTL. Your A record had a 3600s TTL, so some visitors see the old IP for up to an hour. Nothing is broken — check again in 60 minutes, or flush your local cache with the steps below.\",\n  questions: {\n    \"clarity\": {\n      \"type\": \"score\",\n      \"instructions\": \"Score how clearly this explains the issue to a non-technical user. Higher is better.\",\n      \"criteria\": [\n        \"Jargon-only; a non-technical user learns nothing.\",\n        \"Correct but assumes background the user likely lacks.\",\n        \"Understandable with slight jargon, gives a timeline.\",\n        \"Plain language, concrete timeline, reassurance, and a next step.\"\n      ]\n    }\n  },\n});\n\nconsole.log(JSON.stringify(result, null, 2));","description":"Jev judge eval (1 score) over a fixed state — runnable via experimental_evaluate.","story":"An agent explains DNS propagation to a non-technical user; the judge scores clarity.","sourceHandle":null,"sourceUrl":"https://vercel.com/docs/ai-gateway","sourceName":"Jev evaluation guide","hasPrompt":true,"addedAt":null,"origins":["jev-guide"]},{"id":"jev:plan-completeness","title":"Grade: project plan completeness","category":"Evaluation","prompt":"// Grade: project plan completeness — Jev judge eval (typesafe-ai/jev).\n// An agent drafts a launch plan; the judge scores its completeness.\n// Model: typesafe-ai/jev via the Vercel AI Gateway ($0.042/1M input tokens).\n// Auth: set AI_GATEWAY_API_KEY (vck_…) in the environment — never paste the key here.\n// For zero-data-retention / no-training workloads, add\n// providerOptions: { gateway: { … } } to the evaluate call below.\n\nimport { experimental_evaluate } from 'ai';\n\nconst result = await experimental_evaluate({\n  model: 'typesafe-ai/jev',\n  state: \"Plan: 1) Freeze scope Friday. 2) Ana owns staging QA, Ben owns migration dry-run. 3) Rollback: one-click revert to snapshot v41, tested Thursday. 4) Comms: status page + email at T-24h and T+1h. 5) Success: error rate <0.5% and p99 < 400ms for 48h.\",\n  questions: {\n    \"completeness\": {\n      \"type\": \"score\",\n      \"instructions\": \"Score the completeness of this launch plan. Higher is better.\",\n      \"criteria\": [\n        \"A bare task list with no owners, dates, or rollback.\",\n        \"Tasks plus owners, but no rollback, comms, or success criteria.\",\n        \"Owners, dates, and rollback, but vague comms or success measure.\",\n        \"Owners, dates, tested rollback, comms plan, and numeric success criteria.\"\n      ]\n    }\n  },\n});\n\nconsole.log(JSON.stringify(result, null, 2));","description":"Jev judge eval (1 score) over a fixed state — runnable via experimental_evaluate.","story":"An agent drafts a launch plan; the judge scores its completeness.","sourceHandle":null,"sourceUrl":"https://vercel.com/docs/ai-gateway","sourceName":"Jev evaluation guide","hasPrompt":true,"addedAt":null,"origins":["jev-guide"]},{"id":"jev:sql-answer-quality","title":"Grade: SQL answer correctness","category":"Evaluation","prompt":"// Grade: SQL answer correctness — Jev judge eval (typesafe-ai/jev).\n// An agent writes SQL for monthly revenue by plan; the judge scores the query.\n// Model: typesafe-ai/jev via the Vercel AI Gateway ($0.042/1M input tokens).\n// Auth: set AI_GATEWAY_API_KEY (vck_…) in the environment — never paste the key here.\n// For zero-data-retention / no-training workloads, add\n// providerOptions: { gateway: { … } } to the evaluate call below.\n\nimport { experimental_evaluate } from 'ai';\n\nconst result = await experimental_evaluate({\n  model: 'typesafe-ai/jev',\n  state: \"Question: monthly revenue by plan for 2026, excluding refunded orders.\\nAnswer: SELECT date_trunc('month', created_at) AS month, plan, SUM(amount) FROM orders WHERE status != 'refunded' AND created_at >= '2026-01-01' GROUP BY 1, 2 ORDER BY 1, 2;\",\n  questions: {\n    \"correctness\": {\n      \"type\": \"score\",\n      \"instructions\": \"Score this SQL answer against the question. Higher is better.\",\n      \"criteria\": [\n        \"Wrong grain, wrong filter, or would not run.\",\n        \"Runs but drops a requirement (refunds, year bound, or grouping).\",\n        \"Correct results with a minor style or edge-case flaw.\",\n        \"Correct, complete, and robust to edge cases (nulls, timezones, refunds).\"\n      ]\n    }\n  },\n});\n\nconsole.log(JSON.stringify(result, null, 2));","description":"Jev judge eval (1 score) over a fixed state — runnable via experimental_evaluate.","story":"An agent writes SQL for monthly revenue by plan; the judge scores the query.","sourceHandle":null,"sourceUrl":"https://vercel.com/docs/ai-gateway","sourceName":"Jev evaluation guide","hasPrompt":true,"addedAt":null,"origins":["jev-guide"]},{"id":"jev:translation-fluency","title":"Grade: marketing translation fluency","category":"Evaluation","prompt":"// Grade: marketing translation fluency — Jev judge eval (typesafe-ai/jev).\n// An agent translates a tagline into German; the judge scores fluency and fidelity.\n// Model: typesafe-ai/jev via the Vercel AI Gateway ($0.042/1M input tokens).\n// Auth: set AI_GATEWAY_API_KEY (vck_…) in the environment — never paste the key here.\n// For zero-data-retention / no-training workloads, add\n// providerOptions: { gateway: { … } } to the evaluate call below.\n\nimport { experimental_evaluate } from 'ai';\n\nconst result = await experimental_evaluate({\n  model: 'typesafe-ai/jev',\n  state: \"Source: Ship calm software, every single week.\\nTranslation: Liefere ruhige Software, jede einzelne Woche.\",\n  questions: {\n    \"fluency\": {\n      \"type\": \"score\",\n      \"instructions\": \"Score this German marketing translation. Higher is better.\",\n      \"criteria\": [\n        \"Wrong meaning or ungrammatical.\",\n        \"Understandable but awkward or overly literal for marketing copy.\",\n        \"Fluent and accurate, though slightly flat as a tagline.\",\n        \"Fluent, idiomatic, and punchy — reads like native marketing copy.\"\n      ]\n    }\n  },\n});\n\nconsole.log(JSON.stringify(result, null, 2));","description":"Jev judge eval (1 score) over a fixed state — runnable via experimental_evaluate.","story":"An agent translates a tagline into German; the judge scores fluency and fidelity.","sourceHandle":null,"sourceUrl":"https://vercel.com/docs/ai-gateway","sourceName":"Jev evaluation guide","hasPrompt":true,"addedAt":null,"origins":["jev-guide"]},{"id":"jev:headline-strength","title":"Grade: changelog headline strength","category":"Evaluation","prompt":"// Grade: changelog headline strength — Jev judge eval (typesafe-ai/jev).\n// An agent writes a changelog headline; the judge scores it.\n// Model: typesafe-ai/jev via the Vercel AI Gateway ($0.042/1M input tokens).\n// Auth: set AI_GATEWAY_API_KEY (vck_…) in the environment — never paste the key here.\n// For zero-data-retention / no-training workloads, add\n// providerOptions: { gateway: { … } } to the evaluate call below.\n\nimport { experimental_evaluate } from 'ai';\n\nconst result = await experimental_evaluate({\n  model: 'typesafe-ai/jev',\n  state: \"Headline: Various improvements and bug fixes.\\nBody: Export to CSV is 10x faster, SSO is now self-serve, and the mobile crash on iOS 17 is fixed.\",\n  questions: {\n    \"headline\": {\n      \"type\": \"score\",\n      \"instructions\": \"Score this changelog headline against its body. Higher is better.\",\n      \"criteria\": [\n        \"Generic filler that says nothing (e.g. various improvements).\",\n        \"Hints at content but buries the lead.\",\n        \"Names the biggest change but undersells the rest.\",\n        \"Specific, benefit-led, and earns the click.\"\n      ]\n    }\n  },\n});\n\nconsole.log(JSON.stringify(result, null, 2));","description":"Jev judge eval (1 score) over a fixed state — runnable via experimental_evaluate.","story":"An agent writes a changelog headline; the judge scores it.","sourceHandle":null,"sourceUrl":"https://vercel.com/docs/ai-gateway","sourceName":"Jev evaluation guide","hasPrompt":true,"addedAt":null,"origins":["jev-guide"]},{"id":"jev:onboarding-email-quality","title":"Grade: onboarding email quality","category":"Evaluation","prompt":"// Grade: onboarding email quality — Jev judge eval (typesafe-ai/jev).\n// An agent drafts a day-1 onboarding email; the judge scores it.\n// Model: typesafe-ai/jev via the Vercel AI Gateway ($0.042/1M input tokens).\n// Auth: set AI_GATEWAY_API_KEY (vck_…) in the environment — never paste the key here.\n// For zero-data-retention / no-training workloads, add\n// providerOptions: { gateway: { … } } to the evaluate call below.\n\nimport { experimental_evaluate } from 'ai';\n\nconst result = await experimental_evaluate({\n  model: 'typesafe-ai/jev',\n  state: \"Email: Welcome! Here are your 3 first steps: 1) connect your calendar (2 min), 2) invite one teammate, 3) run the sample project. Each links below. Reply to this email any time — a human reads every reply within a day.\",\n  questions: {\n    \"onboarding\": {\n      \"type\": \"score\",\n      \"instructions\": \"Score this onboarding email. Higher is better.\",\n      \"criteria\": [\n        \"Wall of text or zero clear actions.\",\n        \"Lists actions but no links, time estimates, or human fallback.\",\n        \"Clear actions with links, but no time framing or reply path.\",\n        \"Three crisp actions with links, time estimates, and a human reply path.\"\n      ]\n    }\n  },\n});\n\nconsole.log(JSON.stringify(result, null, 2));","description":"Jev judge eval (1 score) over a fixed state — runnable via experimental_evaluate.","story":"An agent drafts a day-1 onboarding email; the judge scores it.","sourceHandle":null,"sourceUrl":"https://vercel.com/docs/ai-gateway","sourceName":"Jev evaluation guide","hasPrompt":true,"addedAt":null,"origins":["jev-guide"]},{"id":"jev:meeting-notes-quality","title":"Grade: meeting notes usefulness","category":"Evaluation","prompt":"// Grade: meeting notes usefulness — Jev judge eval (typesafe-ai/jev).\n// An agent turns a rambling sync into notes; the judge scores usefulness.\n// Model: typesafe-ai/jev via the Vercel AI Gateway ($0.042/1M input tokens).\n// Auth: set AI_GATEWAY_API_KEY (vck_…) in the environment — never paste the key here.\n// For zero-data-retention / no-training workloads, add\n// providerOptions: { gateway: { … } } to the evaluate call below.\n\nimport { experimental_evaluate } from 'ai';\n\nconst result = await experimental_evaluate({\n  model: 'typesafe-ai/jev',\n  state: \"Notes: Decision — ship the CSV export first, SSO second (owner: Priya, dates: Mar 4 / Mar 18). Open question: pricing for exports over 1M rows (owner: Sam, due Feb 27). Dropped: the PDF redesign — revisit in Q3.\",\n  questions: {\n    \"notes\": {\n      \"type\": \"score\",\n      \"instructions\": \"Score how useful these meeting notes are. Higher is better.\",\n      \"criteria\": [\n        \"Raw transcript with no decisions or owners.\",\n        \"Captures discussion but decisions and owners are unclear.\",\n        \"Decisions clear, but owners or dates missing.\",\n        \"Decisions, owners, dates, open questions, and explicit drops.\"\n      ]\n    }\n  },\n});\n\nconsole.log(JSON.stringify(result, null, 2));","description":"Jev judge eval (1 score) over a fixed state — runnable via experimental_evaluate.","story":"An agent turns a rambling sync into notes; the judge scores usefulness.","sourceHandle":null,"sourceUrl":"https://vercel.com/docs/ai-gateway","sourceName":"Jev evaluation guide","hasPrompt":true,"addedAt":null,"origins":["jev-guide"]},{"id":"jev:support-transcript-audit","title":"Audit: support transcript refund policy + tone","category":"Evaluation","prompt":"// Audit: support transcript refund policy + tone — Jev judge eval (typesafe-ai/jev).\n// A full refund transcript; the judge checks policy compliance and grades empathy.\n// Model: typesafe-ai/jev via the Vercel AI Gateway ($0.042/1M input tokens).\n// Auth: set AI_GATEWAY_API_KEY (vck_…) in the environment — never paste the key here.\n// For zero-data-retention / no-training workloads, add\n// providerOptions: { gateway: { … } } to the evaluate call below.\n\nimport { experimental_evaluate } from 'ai';\n\nconst result = await experimental_evaluate({\n  model: 'typesafe-ai/jev',\n  state: \"Customer: My kid ordered $80 of gems by accident. Please help.\\nAgent: Of course — accidental purchases by minors are fully refundable within 30 days. I have refunded $80 to your card ending 7721 (receipt R-11881). I also turned on purchase approval so it cannot happen again. Anything else I can do?\",\n  questions: {\n    \"policy_followed\": {\n      \"type\": \"boolean\",\n      \"instructions\": \"True only if the agent applied the stated refund policy (minors, accidental, within 30 days) correctly.\"\n    },\n    \"empathy\": {\n      \"type\": \"score\",\n      \"instructions\": \"Score the empathy of the agent response. Higher is better.\",\n      \"criteria\": [\n        \"Cold or blaming.\",\n        \"Polite but robotic; no acknowledgment of the situation.\",\n        \"Warm and helpful, minor stiffness.\",\n        \"Genuinely empathetic, resolves fully, and prevents recurrence.\"\n      ]\n    }\n  },\n});\n\nconsole.log(JSON.stringify(result, null, 2));","description":"Jev judge eval (1 boolean + 1 score) over a fixed state — runnable via experimental_evaluate.","story":"A full refund transcript; the judge checks policy compliance and grades empathy.","sourceHandle":null,"sourceUrl":"https://vercel.com/docs/ai-gateway","sourceName":"Jev evaluation guide","hasPrompt":true,"addedAt":null,"origins":["jev-guide"]},{"id":"jev:refund-chat-triage","title":"Audit: damaged-item chat resolution + queue","category":"Evaluation","prompt":"// Audit: damaged-item chat resolution + queue — Jev judge eval (typesafe-ai/jev).\n// A damaged-item chat; the judge checks the remedy and routes any follow-up.\n// Model: typesafe-ai/jev via the Vercel AI Gateway ($0.042/1M input tokens).\n// Auth: set AI_GATEWAY_API_KEY (vck_…) in the environment — never paste the key here.\n// For zero-data-retention / no-training workloads, add\n// providerOptions: { gateway: { … } } to the evaluate call below.\n\nimport { experimental_evaluate } from 'ai';\n\nconst result = await experimental_evaluate({\n  model: 'typesafe-ai/jev',\n  state: \"Customer: My ceramic vase arrived in pieces. Order #7710, paid $120.\\nAgent: I am so sorry — I have issued a full $120 refund to your card ending 9012 and emailed the receipt. A replacement ships free tomorrow; I will message you the tracking by noon.\",\n  questions: {\n    \"remedy_complete\": {\n      \"type\": \"boolean\",\n      \"instructions\": \"True only if the agent both refunded and arranged a replacement or equivalent make-good.\"\n    },\n    \"followup_queue\": {\n      \"type\": \"choice\",\n      \"instructions\": \"If this chat needs any follow-up, which queue owns it?\",\n      \"criteria\": {\n        \"billing\": \"A charge, refund, or invoice still needs attention.\",\n        \"technical\": \"A product bug or account issue still needs attention.\",\n        \"shipping\": \"A delivery, replacement, or tracking still needs attention.\",\n        \"other\": \"No follow-up needed — fully resolved.\"\n      }\n    }\n  },\n});\n\nconsole.log(JSON.stringify(result, null, 2));","description":"Jev judge eval (1 boolean + 1 choice) over a fixed state — runnable via experimental_evaluate.","story":"A damaged-item chat; the judge checks the remedy and routes any follow-up.","sourceHandle":null,"sourceUrl":"https://vercel.com/docs/ai-gateway","sourceName":"Jev evaluation guide","hasPrompt":true,"addedAt":null,"origins":["jev-guide"]},{"id":"jev:product-review-screen","title":"Screen: product review authenticity + helpfulness","category":"Evaluation","prompt":"// Screen: product review authenticity + helpfulness — Jev judge eval (typesafe-ai/jev).\n// A five-star review with oddly generic praise; the judge screens it.\n// Model: typesafe-ai/jev via the Vercel AI Gateway ($0.042/1M input tokens).\n// Auth: set AI_GATEWAY_API_KEY (vck_…) in the environment — never paste the key here.\n// For zero-data-retention / no-training workloads, add\n// providerOptions: { gateway: { … } } to the evaluate call below.\n\nimport { experimental_evaluate } from 'ai';\n\nconst result = await experimental_evaluate({\n  model: 'typesafe-ai/jev',\n  state: \"Review: ★★★★★ Best product ever!!! I love it so much, everyone should buy this amazing product. Fast shipping too. — Verified purchase, account created yesterday, 14 identical reviews posted today.\",\n  questions: {\n    \"authenticity\": {\n      \"type\": \"choice\",\n      \"instructions\": \"Judge the authenticity of this review.\",\n      \"criteria\": {\n        \"genuine\": \"Reads like a real customer with specific experience.\",\n        \"suspicious\": \"Generic or incentivized-looking, but not clearly fake.\",\n        \"fake\": \"Clear abuse signals (bulk posting, new account, template text).\"\n      }\n    },\n    \"helpfulness\": {\n      \"type\": \"score\",\n      \"instructions\": \"Score how helpful this review is to a shopper. Higher is better.\",\n      \"criteria\": [\n        \"No usable information at all.\",\n        \"Vague sentiment with one generic detail.\",\n        \"Some specifics but missing key purchase factors.\",\n        \"Specific, balanced, and decision-useful.\"\n      ]\n    }\n  },\n});\n\nconsole.log(JSON.stringify(result, null, 2));","description":"Jev judge eval (1 choice + 1 score) over a fixed state — runnable via experimental_evaluate.","story":"A five-star review with oddly generic praise; the judge screens it.","sourceHandle":null,"sourceUrl":"https://vercel.com/docs/ai-gateway","sourceName":"Jev evaluation guide","hasPrompt":true,"addedAt":null,"origins":["jev-guide"]},{"id":"jev:agent-handoff-note","title":"Audit: shift handoff note completeness","category":"Evaluation","prompt":"// Audit: shift handoff note completeness — Jev judge eval (typesafe-ai/jev).\n// An agent hands a case to the next shift; the judge checks facts and grades clarity.\n// Model: typesafe-ai/jev via the Vercel AI Gateway ($0.042/1M input tokens).\n// Auth: set AI_GATEWAY_API_KEY (vck_…) in the environment — never paste the key here.\n// For zero-data-retention / no-training workloads, add\n// providerOptions: { gateway: { … } } to the evaluate call below.\n\nimport { experimental_evaluate } from 'ai';\n\nconst result = await experimental_evaluate({\n  model: 'typesafe-ai/jev',\n  state: \"Handoff: Case C-209 (Acme, $40k ARR): outage workaround holding since 14:00; customer expects a permanent fix ETA by Friday 12:00. Next step: Bella to confirm the DB migration window tonight. Risk: they mentioned evaluating a competitor if this slips again.\",\n  questions: {\n    \"next_step_present\": {\n      \"type\": \"boolean\",\n      \"instructions\": \"True only if the handoff names a concrete next step with an owner.\"\n    },\n    \"handoff_clarity\": {\n      \"type\": \"score\",\n      \"instructions\": \"Score the clarity of this handoff note. Higher is better.\",\n      \"criteria\": [\n        \"Unusable — missing context and next actions.\",\n        \"Readable but a key fact (deadline, owner, or risk) is missing.\",\n        \"Complete facts, slightly disorganized.\",\n        \"Context, status, deadline, owner, and risk in one scan.\"\n      ]\n    }\n  },\n});\n\nconsole.log(JSON.stringify(result, null, 2));","description":"Jev judge eval (1 boolean + 1 score) over a fixed state — runnable via experimental_evaluate.","story":"An agent hands a case to the next shift; the judge checks facts and grades clarity.","sourceHandle":null,"sourceUrl":"https://vercel.com/docs/ai-gateway","sourceName":"Jev evaluation guide","hasPrompt":true,"addedAt":null,"origins":["jev-guide"]},{"id":"jev:invoice-dispute","title":"Audit: invoice dispute handling","category":"Evaluation","prompt":"// Audit: invoice dispute handling — Jev judge eval (typesafe-ai/jev).\n// A customer disputes a double charge; the judge checks acknowledgment and routes it.\n// Model: typesafe-ai/jev via the Vercel AI Gateway ($0.042/1M input tokens).\n// Auth: set AI_GATEWAY_API_KEY (vck_…) in the environment — never paste the key here.\n// For zero-data-retention / no-training workloads, add\n// providerOptions: { gateway: { … } } to the evaluate call below.\n\nimport { experimental_evaluate } from 'ai';\n\nconst result = await experimental_evaluate({\n  model: 'typesafe-ai/jev',\n  state: \"Customer: Invoice INV-3301 charged me $600 twice on Aug 30. Fix it.\\nAgent: You are right — I see two $600 charges on Aug 30; the second is a duplicate from a gateway retry. I have voided it and the reversal posts within 5 days. Your correct balance is $600 paid in full.\",\n  questions: {\n    \"duplicate_acknowledged\": {\n      \"type\": \"boolean\",\n      \"instructions\": \"True only if the agent confirmed the duplicate charge and stated the corrective action.\"\n    },\n    \"queue\": {\n      \"type\": \"choice\",\n      \"instructions\": \"Which queue should own the follow-up investigation into the gateway retry bug?\",\n      \"criteria\": {\n        \"billing\": \"Stays with billing — it is a charge issue.\",\n        \"technical\": \"Goes to engineering — the retry logic double-charged.\",\n        \"shipping\": \"Goes to fulfillment — nothing to do with the bug.\",\n        \"other\": \"No queue — nothing further needed.\"\n      }\n    }\n  },\n});\n\nconsole.log(JSON.stringify(result, null, 2));","description":"Jev judge eval (1 boolean + 1 choice) over a fixed state — runnable via experimental_evaluate.","story":"A customer disputes a double charge; the judge checks acknowledgment and routes it.","sourceHandle":null,"sourceUrl":"https://vercel.com/docs/ai-gateway","sourceName":"Jev evaluation guide","hasPrompt":true,"addedAt":null,"origins":["jev-guide"]},{"id":"jev:travel-itinerary-check","title":"Audit: weekend itinerary feasibility + quality","category":"Evaluation","prompt":"// Audit: weekend itinerary feasibility + quality — Jev judge eval (typesafe-ai/jev).\n// An agent plans 48 hours in Lisbon; the judge checks timing and grades the plan.\n// Model: typesafe-ai/jev via the Vercel AI Gateway ($0.042/1M input tokens).\n// Auth: set AI_GATEWAY_API_KEY (vck_…) in the environment — never paste the key here.\n// For zero-data-retention / no-training workloads, add\n// providerOptions: { gateway: { … } } to the evaluate call below.\n\nimport { experimental_evaluate } from 'ai';\n\nconst result = await experimental_evaluate({\n  model: 'typesafe-ai/jev',\n  state: \"Itinerary: Fri 18:00 land LIS, hotel Alfama. Sat: Belém (09:00), lunch Time Out Market, Alfama + castle (15:00), fado show 21:00 (booked). Sun: day trip Sintra 08:30–14:00, fly 19:20. All legs under 40 min by metro/taxi; buffers included.\",\n  questions: {\n    \"timing_feasible\": {\n      \"type\": \"boolean\",\n      \"instructions\": \"True only if every leg leaves realistic travel time and nothing overlaps the 19:20 Sunday flight.\"\n    },\n    \"itinerary_quality\": {\n      \"type\": \"score\",\n      \"instructions\": \"Score this itinerary as a weekend plan. Higher is better.\",\n      \"criteria\": [\n        \"Infeasible or missing logistics entirely.\",\n        \"Feasible but a rushed death-march with no buffers.\",\n        \"Feasible and paced, but generic or missing bookings.\",\n        \"Feasible, paced, booked where it matters, with buffers.\"\n      ]\n    }\n  },\n});\n\nconsole.log(JSON.stringify(result, null, 2));","description":"Jev judge eval (1 boolean + 1 score) over a fixed state — runnable via experimental_evaluate.","story":"An agent plans 48 hours in Lisbon; the judge checks timing and grades the plan.","sourceHandle":null,"sourceUrl":"https://vercel.com/docs/ai-gateway","sourceName":"Jev evaluation guide","hasPrompt":true,"addedAt":null,"origins":["jev-guide"]},{"id":"jev:password-reset-flow","title":"Audit: password-reset reply safety","category":"Evaluation","prompt":"// Audit: password-reset reply safety — Jev judge eval (typesafe-ai/jev).\n// A user asks for a password reset over chat; the judge checks the agent did not leak or over-share.\n// Model: typesafe-ai/jev via the Vercel AI Gateway ($0.042/1M input tokens).\n// Auth: set AI_GATEWAY_API_KEY (vck_…) in the environment — never paste the key here.\n// For zero-data-retention / no-training workloads, add\n// providerOptions: { gateway: { … } } to the evaluate call below.\n\nimport { experimental_evaluate } from 'ai';\n\nconst result = await experimental_evaluate({\n  model: 'typesafe-ai/jev',\n  state: \"Customer: I forgot my password, can you just tell me what it is?\\nAgent: I cannot see or share your current password — nobody here can. I just emailed a reset link to the address on file (j***@example.com); it expires in 30 minutes. If you cannot access that inbox, I can verify you another way.\",\n  questions: {\n    \"no_password_disclosed\": {\n      \"type\": \"boolean\",\n      \"instructions\": \"True only if the agent refused to disclose the password and offered a secure reset path.\"\n    },\n    \"risk\": {\n      \"type\": \"choice\",\n      \"instructions\": \"Classify the account-takeover risk handling of this reply.\",\n      \"criteria\": {\n        \"safe\": \"No secrets disclosed; reset goes to the verified channel with expiry.\",\n        \"weak\": \"Secure-ish but missing expiry, masking, or an alternative path.\",\n        \"unsafe\": \"Discloses credentials or resets without verification.\"\n      }\n    }\n  },\n});\n\nconsole.log(JSON.stringify(result, null, 2));","description":"Jev judge eval (1 boolean + 1 choice) over a fixed state — runnable via experimental_evaluate.","story":"A user asks for a password reset over chat; the judge checks the agent did not leak or over-share.","sourceHandle":null,"sourceUrl":"https://vercel.com/docs/ai-gateway","sourceName":"Jev evaluation guide","hasPrompt":true,"addedAt":null,"origins":["jev-guide"]},{"id":"jev:release-notes-check","title":"Audit: release notes audience + quality","category":"Evaluation","prompt":"// Audit: release notes audience + quality — Jev judge eval (typesafe-ai/jev).\n// Draft release notes for a mobile update; the judge classifies and grades them.\n// Model: typesafe-ai/jev via the Vercel AI Gateway ($0.042/1M input tokens).\n// Auth: set AI_GATEWAY_API_KEY (vck_…) in the environment — never paste the key here.\n// For zero-data-retention / no-training workloads, add\n// providerOptions: { gateway: { … } } to the evaluate call below.\n\nimport { experimental_evaluate } from 'ai';\n\nconst result = await experimental_evaluate({\n  model: 'typesafe-ai/jev',\n  state: \"Notes: v3.8 — Dark mode is here (Settings → Appearance). Fixed the crash when exporting large boards. Note: iOS 15 is no longer supported; you need iOS 16+.\",\n  questions: {\n    \"audience\": {\n      \"type\": \"choice\",\n      \"instructions\": \"Who are these release notes written for?\",\n      \"criteria\": {\n        \"end_users\": \"Plain-language notes a non-technical user can act on.\",\n        \"developers\": \"API, SDK, or integration changes for engineers.\",\n        \"internal\": \"Jargon-heavy notes only the team would understand.\"\n      }\n    },\n    \"notes_quality\": {\n      \"type\": \"score\",\n      \"instructions\": \"Score these release notes. Higher is better.\",\n      \"criteria\": [\n        \"Missing what changed or who is affected.\",\n        \"Lists changes but no action or requirement stated.\",\n        \"Clear changes with requirements, slightly terse.\",\n        \"Clear changes, exact navigation, and upgrade requirements.\"\n      ]\n    }\n  },\n});\n\nconsole.log(JSON.stringify(result, null, 2));","description":"Jev judge eval (1 choice + 1 score) over a fixed state — runnable via experimental_evaluate.","story":"Draft release notes for a mobile update; the judge classifies and grades them.","sourceHandle":null,"sourceUrl":"https://vercel.com/docs/ai-gateway","sourceName":"Jev evaluation guide","hasPrompt":true,"addedAt":null,"origins":["jev-guide"]},{"id":"jev:standup-summary-check","title":"Audit: standup summary blockers + brevity","category":"Evaluation","prompt":"// Audit: standup summary blockers + brevity — Jev judge eval (typesafe-ai/jev).\n// An agent compresses standup chatter; the judge checks blockers survived and grades brevity.\n// Model: typesafe-ai/jev via the Vercel AI Gateway ($0.042/1M input tokens).\n// Auth: set AI_GATEWAY_API_KEY (vck_…) in the environment — never paste the key here.\n// For zero-data-retention / no-training workloads, add\n// providerOptions: { gateway: { … } } to the evaluate call below.\n\nimport { experimental_evaluate } from 'ai';\n\nconst result = await experimental_evaluate({\n  model: 'typesafe-ai/jev',\n  state: \"Thread: 40 messages about the auth outage, lunch plans, and a deploy. Ana is blocked waiting on DevOps for a Redis failover; Ben will pair with her after lunch.\\nSummary: Auth outage contained. Blocker: Ana needs the Redis failover from DevOps (Ben pairing after lunch). Deploy proceeds at 15:00.\",\n  questions: {\n    \"blocker_kept\": {\n      \"type\": \"boolean\",\n      \"instructions\": \"True only if the summary preserves the blocker, who is blocked, and who unblocks them.\"\n    },\n    \"brevity\": {\n      \"type\": \"score\",\n      \"instructions\": \"Score the summary on signal vs noise. Higher is better.\",\n      \"criteria\": [\n        \"Keeps the noise (lunch) or drops the signal.\",\n        \"Keeps signal but nearly as long as the thread.\",\n        \"Concise with one leftover filler detail.\",\n        \"Three lines: status, blocker with owners, next event.\"\n      ]\n    }\n  },\n});\n\nconsole.log(JSON.stringify(result, null, 2));","description":"Jev judge eval (1 boolean + 1 score) over a fixed state — runnable via experimental_evaluate.","story":"An agent compresses standup chatter; the judge checks blockers survived and grades brevity.","sourceHandle":null,"sourceUrl":"https://vercel.com/docs/ai-gateway","sourceName":"Jev evaluation guide","hasPrompt":true,"addedAt":null,"origins":["jev-guide"]},{"id":"jev:sales-call-review","title":"Review: discovery call next step + technique","category":"Evaluation","prompt":"// Review: discovery call next step + technique — Jev judge eval (typesafe-ai/jev).\n// A discovery call ends with vague promises; the judge classifies the close and grades technique.\n// Model: typesafe-ai/jev via the Vercel AI Gateway ($0.042/1M input tokens).\n// Auth: set AI_GATEWAY_API_KEY (vck_…) in the environment — never paste the key here.\n// For zero-data-retention / no-training workloads, add\n// providerOptions: { gateway: { … } } to the evaluate call below.\n\nimport { experimental_evaluate } from 'ai';\n\nconst result = await experimental_evaluate({\n  model: 'typesafe-ai/jev',\n  state: \"Rep: So, sounds like this could help. Let us circle back sometime? Maybe I can send some info.\\nProspect: Sure, send something over.\\nRep: Great, will do!\",\n  questions: {\n    \"close_type\": {\n      \"type\": \"choice\",\n      \"instructions\": \"Classify how this call closed.\",\n      \"criteria\": {\n        \"committed\": \"A dated next step with an owner was agreed.\",\n        \"soft\": \"Interest expressed but no date or owner set.\",\n        \"dead\": \"No interest or an explicit no.\"\n      }\n    },\n    \"technique\": {\n      \"type\": \"score\",\n      \"instructions\": \"Score the rep discovery and closing technique. Higher is better.\",\n      \"criteria\": [\n        \"No discovery, no close — just vibes.\",\n        \"Some discovery but the close is wishful.\",\n        \"Solid discovery, weak close without a date.\",\n        \"Pain quantified, champion found, dated next step booked.\"\n      ]\n    }\n  },\n});\n\nconsole.log(JSON.stringify(result, null, 2));","description":"Jev judge eval (1 choice + 1 score) over a fixed state — runnable via experimental_evaluate.","story":"A discovery call ends with vague promises; the judge classifies the close and grades technique.","sourceHandle":null,"sourceUrl":"https://vercel.com/docs/ai-gateway","sourceName":"Jev evaluation guide","hasPrompt":true,"addedAt":null,"origins":["jev-guide"]},{"id":"jev:onboarding-checklist-verification","title":"Verify: new-hire onboarding completion","category":"Evaluation","prompt":"// Verify: new-hire onboarding completion — Jev judge eval (typesafe-ai/jev).\n// An agent reports onboarding done; the judge verifies access and equipment claims.\n// Model: typesafe-ai/jev via the Vercel AI Gateway ($0.042/1M input tokens).\n// Auth: set AI_GATEWAY_API_KEY (vck_…) in the environment — never paste the key here.\n// For zero-data-retention / no-training workloads, add\n// providerOptions: { gateway: { … } } to the evaluate call below.\n\nimport { experimental_evaluate } from 'ai';\n\nconst result = await experimental_evaluate({\n  model: 'typesafe-ai/jev',\n  state: \"Agent report: Sara (starts Monday) — laptop ordered (arrives Friday), SSO + GitHub + Slack provisioned, day-1 buddy assigned (Tom), payroll invite sent. Pending: desk assignment from facilities.\",\n  questions: {\n    \"access_ready\": {\n      \"type\": \"boolean\",\n      \"instructions\": \"True only if all day-1 system access (SSO, GitHub, Slack or equivalents) is confirmed provisioned.\"\n    },\n    \"equipment_ready\": {\n      \"type\": \"boolean\",\n      \"instructions\": \"True only if the laptop or equivalent equipment is confirmed ordered with an arrival date.\"\n    }\n  },\n});\n\nconsole.log(JSON.stringify(result, null, 2));","description":"Jev judge eval (2 boolean) over a fixed state — runnable via experimental_evaluate.","story":"An agent reports onboarding done; the judge verifies access and equipment claims.","sourceHandle":null,"sourceUrl":"https://vercel.com/docs/ai-gateway","sourceName":"Jev evaluation guide","hasPrompt":true,"addedAt":null,"origins":["jev-guide"]},{"id":"jev:moderation-queue-item","title":"Moderate: marketplace listing verdict + recall","category":"Evaluation","prompt":"// Moderate: marketplace listing verdict + recall — Jev judge eval (typesafe-ai/jev).\n// A supplement listing makes disease claims; the judge rules and checks recall of the exact claim.\n// Model: typesafe-ai/jev via the Vercel AI Gateway ($0.042/1M input tokens).\n// Auth: set AI_GATEWAY_API_KEY (vck_…) in the environment — never paste the key here.\n// For zero-data-retention / no-training workloads, add\n// providerOptions: { gateway: { … } } to the evaluate call below.\n\nimport { experimental_evaluate } from 'ai';\n\nconst result = await experimental_evaluate({\n  model: 'typesafe-ai/jev',\n  state: \"Listing: MIRACLE GREENS — clinically proven to reverse diabetes in 30 days!!! No diet or exercise needed. 50% off today only!!!\",\n  questions: {\n    \"verdict\": {\n      \"type\": \"choice\",\n      \"instructions\": \"Give the moderation verdict for this listing.\",\n      \"criteria\": {\n        \"allow\": \"Compliant listing — no policy issue.\",\n        \"restrict\": \"Needs an edit (tone down claims, add disclaimers) before it can stay.\",\n        \"remove\": \"Prohibited content (disease cure claims, scams) — take it down.\"\n      }\n    },\n    \"claim_identified\": {\n      \"type\": \"boolean\",\n      \"instructions\": \"True only if the listing makes a specific disease cure or reversal claim (diabetes).\"\n    }\n  },\n});\n\nconsole.log(JSON.stringify(result, null, 2));","description":"Jev judge eval (1 boolean + 1 choice) over a fixed state — runnable via experimental_evaluate.","story":"A supplement listing makes disease claims; the judge rules and checks recall of the exact claim.","sourceHandle":null,"sourceUrl":"https://vercel.com/docs/ai-gateway","sourceName":"Jev evaluation guide","hasPrompt":true,"addedAt":null,"origins":["jev-guide"]},{"id":"jev:newsletter-draft-review","title":"Review: newsletter draft quality + CTA","category":"Evaluation","prompt":"// Review: newsletter draft quality + CTA — Jev judge eval (typesafe-ai/jev).\n// A draft newsletter announces a launch; the judge grades it and checks the call to action.\n// Model: typesafe-ai/jev via the Vercel AI Gateway ($0.042/1M input tokens).\n// Auth: set AI_GATEWAY_API_KEY (vck_…) in the environment — never paste the key here.\n// For zero-data-retention / no-training workloads, add\n// providerOptions: { gateway: { … } } to the evaluate call below.\n\nimport { experimental_evaluate } from 'ai';\n\nconst result = await experimental_evaluate({\n  model: 'typesafe-ai/jev',\n  state: \"Draft: Big news — Boards 2.0 is live. What is new: 10x faster exports, offline mode, 40 templates. Try it: one click migrates your boards in minutes. PS: reply and tell us what to build next — we read everything.\",\n  questions: {\n    \"draft_quality\": {\n      \"type\": \"score\",\n      \"instructions\": \"Score this newsletter draft. Higher is better.\",\n      \"criteria\": [\n        \"Buried lede, no links, no reason to care.\",\n        \"Announces the news but no clear action or benefit.\",\n        \"Clear news plus one action, slightly flat voice.\",\n        \"Headline news, concrete benefits, one crisp CTA, human voice.\"\n      ]\n    },\n    \"cta_present\": {\n      \"type\": \"boolean\",\n      \"instructions\": \"True only if the draft contains an explicit call to action telling the reader what to do next.\"\n    }\n  },\n});\n\nconsole.log(JSON.stringify(result, null, 2));","description":"Jev judge eval (1 boolean + 1 score) over a fixed state — runnable via experimental_evaluate.","story":"A draft newsletter announces a launch; the judge grades it and checks the call to action.","sourceHandle":null,"sourceUrl":"https://vercel.com/docs/ai-gateway","sourceName":"Jev evaluation guide","hasPrompt":true,"addedAt":null,"origins":["jev-guide"]},{"id":"jev:interview-feedback-check","title":"Review: interview feedback hire signal + evidence","category":"Evaluation","prompt":"// Review: interview feedback hire signal + evidence — Jev judge eval (typesafe-ai/jev).\n// A panel writes feedback on a backend candidate; the judge reads the signal and checks evidence.\n// Model: typesafe-ai/jev via the Vercel AI Gateway ($0.042/1M input tokens).\n// Auth: set AI_GATEWAY_API_KEY (vck_…) in the environment — never paste the key here.\n// For zero-data-retention / no-training workloads, add\n// providerOptions: { gateway: { … } } to the evaluate call below.\n\nimport { experimental_evaluate } from 'ai';\n\nconst result = await experimental_evaluate({\n  model: 'typesafe-ai/jev',\n  state: \"Feedback: Strong hire. System design was excellent — she drove the sharding discussion, named the hot-partition risk unprompted, and sketched a clean migration. Coding: correct optimal solution in 25 min with clear tests. Concern: none material; ramp-up on our queue infra expected.\",\n  questions: {\n    \"signal\": {\n      \"type\": \"choice\",\n      \"instructions\": \"Classify the overall hire signal of this feedback.\",\n      \"criteria\": {\n        \"strong_hire\": \"Enthusiastic yes with concrete standout evidence.\",\n        \"hire\": \"Yes, with solid but not exceptional evidence.\",\n        \"no_hire\": \"No, with concrete gaps or red flags.\",\n        \"mixed\": \"Contradictory or insufficient evidence either way.\"\n      }\n    },\n    \"evidence_quality\": {\n      \"type\": \"score\",\n      \"instructions\": \"Score how evidence-backed this feedback is. Higher is better.\",\n      \"criteria\": [\n        \"Verdict with no examples.\",\n        \"Verdict with vague praise (great, smart).\",\n        \"Verdict with one concrete example.\",\n        \"Verdict with multiple specific, observed examples plus a named non-concern.\"\n      ]\n    }\n  },\n});\n\nconsole.log(JSON.stringify(result, null, 2));","description":"Jev judge eval (1 choice + 1 score) over a fixed state — runnable via experimental_evaluate.","story":"A panel writes feedback on a backend candidate; the judge reads the signal and checks evidence.","sourceHandle":null,"sourceUrl":"https://vercel.com/docs/ai-gateway","sourceName":"Jev evaluation guide","hasPrompt":true,"addedAt":null,"origins":["jev-guide"]},{"id":"jev:contract-redline-check","title":"Review: vendor contract redline safety","category":"Evaluation","prompt":"// Review: vendor contract redline safety — Jev judge eval (typesafe-ai/jev).\n// An agent redlines a SaaS renewal; the judge checks the liability cap and grades the redline.\n// Model: typesafe-ai/jev via the Vercel AI Gateway ($0.042/1M input tokens).\n// Auth: set AI_GATEWAY_API_KEY (vck_…) in the environment — never paste the key here.\n// For zero-data-retention / no-training workloads, add\n// providerOptions: { gateway: { … } } to the evaluate call below.\n\nimport { experimental_evaluate } from 'ai';\n\nconst result = await experimental_evaluate({\n  model: 'typesafe-ai/jev',\n  state: \"Redline: liability capped at 12 months fees (was: uncapped); auto-renewal removed, 60-day notice; data processing addendum attached with 30-day deletion; price locked 2 years with 5% cap after.\",\n  questions: {\n    \"liability_capped\": {\n      \"type\": \"boolean\",\n      \"instructions\": \"True only if vendor liability is capped at a stated multiple of fees (not uncapped).\"\n    },\n    \"redline_quality\": {\n      \"type\": \"score\",\n      \"instructions\": \"Score this contract redline. Higher is better.\",\n      \"criteria\": [\n        \"Accepts uncapped liability or auto-renewal without notice.\",\n        \"Fixes one risk but leaves liability, renewal, or data terms open.\",\n        \"Covers liability, renewal, and data, but pricing left floating.\",\n        \"Liability capped, renewal tamed, DPA attached, pricing locked.\"\n      ]\n    }\n  },\n});\n\nconsole.log(JSON.stringify(result, null, 2));","description":"Jev judge eval (1 boolean + 1 score) over a fixed state — runnable via experimental_evaluate.","story":"An agent redlines a SaaS renewal; the judge checks the liability cap and grades the redline.","sourceHandle":null,"sourceUrl":"https://vercel.com/docs/ai-gateway","sourceName":"Jev evaluation guide","hasPrompt":true,"addedAt":null,"origins":["jev-guide"]},{"id":"jev:recipe-adaptation-check","title":"Check: recipe adaptation for allergies","category":"Evaluation","prompt":"// Check: recipe adaptation for allergies — Jev judge eval (typesafe-ai/jev).\n// An agent adapts a paella recipe for a shellfish allergy; the judge checks safety and classifies the swap.\n// Model: typesafe-ai/jev via the Vercel AI Gateway ($0.042/1M input tokens).\n// Auth: set AI_GATEWAY_API_KEY (vck_…) in the environment — never paste the key here.\n// For zero-data-retention / no-training workloads, add\n// providerOptions: { gateway: { … } } to the evaluate call below.\n\nimport { experimental_evaluate } from 'ai';\n\nconst result = await experimental_evaluate({\n  model: 'typesafe-ai/jev',\n  state: \"Original: seafood paella with shrimp, mussels, fish stock.\\nAdapted: chicken + artichoke paella, chicken stock, smoked paprika. Note: made in a shellfish-free kitchen process; check your stock label for hidden shellfish.\",\n  questions: {\n    \"allergen_removed\": {\n      \"type\": \"boolean\",\n      \"instructions\": \"True only if every shellfish ingredient (shrimp, mussels, fish stock with shellfish) was removed or replaced.\"\n    },\n    \"substitution\": {\n      \"type\": \"choice\",\n      \"instructions\": \"Classify the protein substitution strategy.\",\n      \"criteria\": {\n        \"direct_swap\": \"Replaces the allergen protein with another protein.\",\n        \"full_rework\": \"Rebuilds the dish around a different center.\",\n        \"garnish_only\": \"Only removes the allergen without replacing substance.\"\n      }\n    }\n  },\n});\n\nconsole.log(JSON.stringify(result, null, 2));","description":"Jev judge eval (1 boolean + 1 choice) over a fixed state — runnable via experimental_evaluate.","story":"An agent adapts a paella recipe for a shellfish allergy; the judge checks safety and classifies the swap.","sourceHandle":null,"sourceUrl":"https://vercel.com/docs/ai-gateway","sourceName":"Jev evaluation guide","hasPrompt":true,"addedAt":null,"origins":["jev-guide"]},{"id":"jev:fitness-plan-check","title":"Check: beginner fitness plan safety + progression","category":"Evaluation","prompt":"// Check: beginner fitness plan safety + progression — Jev judge eval (typesafe-ai/jev).\n// An agent writes a couch-to-5K plan; the judge grades it and checks rest days.\n// Model: typesafe-ai/jev via the Vercel AI Gateway ($0.042/1M input tokens).\n// Auth: set AI_GATEWAY_API_KEY (vck_…) in the environment — never paste the key here.\n// For zero-data-retention / no-training workloads, add\n// providerOptions: { gateway: { … } } to the evaluate call below.\n\nimport { experimental_evaluate } from 'ai';\n\nconst result = await experimental_evaluate({\n  model: 'typesafe-ai/jev',\n  state: \"Plan (8 weeks): 3 runs/week, walk-run intervals progressing 60s→5min runs. Rest days between every session; week 4 deload at half volume. Stop rules: sharp pain = stop and see a clinician; includes 5-min warm-up/cool-down each session.\",\n  questions: {\n    \"plan_quality\": {\n      \"type\": \"score\",\n      \"instructions\": \"Score this beginner running plan. Higher is better.\",\n      \"criteria\": [\n        \"Dangerous (no progression, no rest, or ignores pain).\",\n        \"Directionally fine but missing progression, rest, or stop rules.\",\n        \"Progressive with rest, but no deload or stop rules.\",\n        \"Progressive, rest days, deload week, warm-ups, and stop rules.\"\n      ]\n    },\n    \"rest_scheduled\": {\n      \"type\": \"boolean\",\n      \"instructions\": \"True only if rest or recovery days are explicitly scheduled between sessions.\"\n    }\n  },\n});\n\nconsole.log(JSON.stringify(result, null, 2));","description":"Jev judge eval (1 boolean + 1 score) over a fixed state — runnable via experimental_evaluate.","story":"An agent writes a couch-to-5K plan; the judge grades it and checks rest days.","sourceHandle":null,"sourceUrl":"https://vercel.com/docs/ai-gateway","sourceName":"Jev evaluation guide","hasPrompt":true,"addedAt":null,"origins":["jev-guide"]},{"id":"jev:bug-report-triage","title":"Triage: crash report routing + reproducibility","category":"Evaluation","prompt":"// Triage: crash report routing + reproducibility — Jev judge eval (typesafe-ai/jev).\n// A crash report with steps and logs; the judge routes it and checks reproducibility.\n// Model: typesafe-ai/jev via the Vercel AI Gateway ($0.042/1M input tokens).\n// Auth: set AI_GATEWAY_API_KEY (vck_…) in the environment — never paste the key here.\n// For zero-data-retention / no-training workloads, add\n// providerOptions: { gateway: { … } } to the evaluate call below.\n\nimport { experimental_evaluate } from 'ai';\n\nconst result = await experimental_evaluate({\n  model: 'typesafe-ai/jev',\n  state: \"Report: app crashes on export when the board exceeds 500 cards. Steps: 1) open Big Board (612 cards), 2) Export → CSV, 3) crash at ~80%. Logs attached, crash ID 7f2a. Repro: 3/3 attempts on iOS 17.2 and 17.3.\",\n  questions: {\n    \"owner\": {\n      \"type\": \"choice\",\n      \"instructions\": \"Which team should own this crash report?\",\n      \"criteria\": {\n        \"mobile\": \"Client-side crash in the app itself.\",\n        \"backend\": \"Server or API failure behind the symptom.\",\n        \"data\": \"Data corruption or migration issue.\",\n        \"docs\": \"Not a bug — documentation or usage question.\"\n      }\n    },\n    \"reproducible\": {\n      \"type\": \"boolean\",\n      \"instructions\": \"True only if the report includes concrete steps plus evidence of repeated reproduction (counts, versions, or logs).\"\n    }\n  },\n});\n\nconsole.log(JSON.stringify(result, null, 2));","description":"Jev judge eval (1 boolean + 1 choice) over a fixed state — runnable via experimental_evaluate.","story":"A crash report with steps and logs; the judge routes it and checks reproducibility.","sourceHandle":null,"sourceUrl":"https://vercel.com/docs/ai-gateway","sourceName":"Jev evaluation guide","hasPrompt":true,"addedAt":null,"origins":["jev-guide"]},{"id":"jev:doc-search-answer","title":"Check: docs-grounded answer accuracy","category":"Evaluation","prompt":"// Check: docs-grounded answer accuracy — Jev judge eval (typesafe-ai/jev).\n// An agent answers from the docs about SSO; the judge scores grounding and checks the plan gate.\n// Model: typesafe-ai/jev via the Vercel AI Gateway ($0.042/1M input tokens).\n// Auth: set AI_GATEWAY_API_KEY (vck_…) in the environment — never paste the key here.\n// For zero-data-retention / no-training workloads, add\n// providerOptions: { gateway: { … } } to the evaluate call below.\n\nimport { experimental_evaluate } from 'ai';\n\nconst result = await experimental_evaluate({\n  model: 'typesafe-ai/jev',\n  state: \"Docs: SSO (SAML/OIDC) is available on Enterprise only; setup takes ~20 minutes in Settings → Security.\\nAnswer: Yes — SSO with SAML or OIDC is on the Enterprise plan, and setup takes about 20 minutes under Settings → Security. Here is the doc link to follow.\",\n  questions: {\n    \"groundedness\": {\n      \"type\": \"score\",\n      \"instructions\": \"Score how well the answer stays grounded in the docs. Higher is better.\",\n      \"criteria\": [\n        \"Contradicts the docs or invents unsupported facts.\",\n        \"Roughly right but adds details the docs do not support.\",\n        \"Matches the docs with minor imprecise phrasing.\",\n        \"Faithful to the docs: plan gate, protocols, time, and location all exact.\"\n      ]\n    },\n    \"plan_gate_stated\": {\n      \"type\": \"boolean\",\n      \"instructions\": \"True only if the answer states that SSO requires the Enterprise plan.\"\n    }\n  },\n});\n\nconsole.log(JSON.stringify(result, null, 2));","description":"Jev judge eval (1 boolean + 1 score) over a fixed state — runnable via experimental_evaluate.","story":"An agent answers from the docs about SSO; the judge scores grounding and checks the plan gate.","sourceHandle":null,"sourceUrl":"https://vercel.com/docs/ai-gateway","sourceName":"Jev evaluation guide","hasPrompt":true,"addedAt":null,"origins":["jev-guide"]},{"id":"jev:escalation-decision","title":"Decide: page the on-call or queue it","category":"Evaluation","prompt":"// Decide: page the on-call or queue it — Jev judge eval (typesafe-ai/jev).\n// Checkout errors spike at 2am; the judge decides the response and grades the reasoning.\n// Model: typesafe-ai/jev via the Vercel AI Gateway ($0.042/1M input tokens).\n// Auth: set AI_GATEWAY_API_KEY (vck_…) in the environment — never paste the key here.\n// For zero-data-retention / no-training workloads, add\n// providerOptions: { gateway: { … } } to the evaluate call below.\n\nimport { experimental_evaluate } from 'ai';\n\nconst result = await experimental_evaluate({\n  model: 'typesafe-ai/jev',\n  state: \"Alert 02:14: checkout error rate 18% (baseline 0.2%) for 12 minutes, all regions, no deploy in the last 6h. Last similar alert: 3 weeks ago, self-recovered in 9 minutes.\",\n  questions: {\n    \"response\": {\n      \"type\": \"choice\",\n      \"instructions\": \"Decide the correct response to this alert.\",\n      \"criteria\": {\n        \"page_now\": \"Wake the on-call immediately — revenue-impacting and sustained.\",\n        \"watch\": \"Monitor for 15 more minutes — could self-recover like last time.\",\n        \"ticket\": \"File a ticket for business hours — no urgency.\"\n      }\n    },\n    \"reasoning\": {\n      \"type\": \"score\",\n      \"instructions\": \"Score the decision reasoning quality for this alert. Higher is better.\",\n      \"criteria\": [\n        \"Ignores blast radius (all regions, 18%) or time of day.\",\n        \"Notes severity but over-indexes on the single self-recovery anecdote.\",\n        \"Weighs severity vs history, lands defensible either way.\",\n        \"Correct call with explicit math: 90x baseline × all regions × 12 min = page.\"\n      ]\n    }\n  },\n});\n\nconsole.log(JSON.stringify(result, null, 2));","description":"Jev judge eval (1 choice + 1 score) over a fixed state — runnable via experimental_evaluate.","story":"Checkout errors spike at 2am; the judge decides the response and grades the reasoning.","sourceHandle":null,"sourceUrl":"https://vercel.com/docs/ai-gateway","sourceName":"Jev evaluation guide","hasPrompt":true,"addedAt":null,"origins":["jev-guide"]},{"id":"submission:video-email-triage","title":"Triage 1,700 emails for $0.18 with four verdicts each","category":"Admin","prompt":null,"description":"The launch demo: 1,700 real emails run through Jev in one pass. Each email gets four outputs — category (shopping, work, marketing, finance, security), priority across five levels, a spam score from 0 to 1, and a reply-worthiness percentage. 4.2M input + 500K output tokens for $0.18 total.","story":"The launch demo: 1,700 real emails run through Jev in one pass. Each email gets four outputs — category (shopping, work, marketing, finance, security), priority across five levels, a spam score from 0 to 1, and a reply-worthiness percentage. 4.2M input + 500K output tokens for $0.18 total.","sourceHandle":"Jev launch video","sourceUrl":"https://youtu.be/4mTLpuQpB80","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T20:30:00Z","origins":["community"]},{"id":"submission:video-lead-scoring","title":"Score inbound leads 0–1 and reply to the 98s first","category":"Work","prompt":null,"description":"A graphic design agency runs every contact-form submission through Jev as an is-good-lead score. A 98% lead gets an instant human reply; vague maybes get a slower touch. Same pattern fits any business with an expensive inbound queue.","story":"A graphic design agency runs every contact-form submission through Jev as an is-good-lead score. A 98% lead gets an instant human reply; vague maybes get a slower touch. Same pattern fits any business with an expensive inbound queue.","sourceHandle":"Jev launch video","sourceUrl":"https://youtu.be/4mTLpuQpB80","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T20:30:00Z","origins":["community"]},{"id":"submission:video-support-routing","title":"Route support inquiries to the right team instantly","category":"Work","prompt":null,"description":"Incoming support requests get classified the moment they arrive — which product team owns it, how urgent it is — instead of sitting in a general queue. The AI-traffic-cop pattern: decide in ~200ms, route, escalate, or auto-resolve.","story":"Incoming support requests get classified the moment they arrive — which product team owns it, how urgent it is — instead of sitting in a general queue. The AI-traffic-cop pattern: decide in ~200ms, route, escalate, or auto-resolve.","sourceHandle":"Jev launch video","sourceUrl":"https://youtu.be/4mTLpuQpB80","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T20:30:00Z","origins":["community"]},{"id":"submission:video-instant-matching","title":"Match a service request to the best-fit company live","category":"Shopping","prompt":null,"description":"A services aggregator takes \"powerwash my driveway\" plus area business profiles and returns best-fit percentages per company — a genuinely instant quote instead of \"we will email you by end of day\". Speed becomes the virtue signal.","story":"A services aggregator takes \"powerwash my driveway\" plus area business profiles and returns best-fit percentages per company — a genuinely instant quote instead of \"we will email you by end of day\". Speed becomes the virtue signal.","sourceHandle":"Jev launch video","sourceUrl":"https://youtu.be/4mTLpuQpB80","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T20:30:00Z","origins":["community"]},{"id":"submission:video-clip-finder","title":"Score 17 video moments in 3 seconds to find clips","category":"Fun","prompt":null,"description":"Drop in a long-form video: transcribe it word-level, pass the transcript to Jev with clip-worthiness questions, get 17 scored moments back in about 3 seconds (1.1M tokens). Ten minutes of work for a shorts pipeline.","story":"Drop in a long-form video: transcribe it word-level, pass the transcript to Jev with clip-worthiness questions, get 17 scored moments back in about 3 seconds (1.1M tokens). Ten minutes of work for a shorts pipeline.","sourceHandle":"Jev launch video","sourceUrl":"https://youtu.be/4mTLpuQpB80","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T20:30:00Z","origins":["community"]},{"id":"submission:video-browser-flight","title":"Pick a Zurich–London flight in 7.1 seconds of browser control","category":"Travel","prompt":null,"description":"Browser-use drives a real browser with Jev making each micro-decision — dates, options, cheapest fit — and lands a flight in 7.1 seconds real time, versus minutes for a classic agent loop.","story":"Browser-use drives a real browser with Jev making each micro-decision — dates, options, cheapest fit — and lands a flight in 7.1 seconds real time, versus minutes for a classic agent loop.","sourceHandle":"Jev launch video","sourceUrl":"https://youtu.be/4mTLpuQpB80","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T20:30:00Z","origins":["community"]},{"id":"submission:video-probabilities","title":"Return probabilities, not labels — 80/10/10 beats \"orange\"","category":"Evaluation","prompt":null,"description":"Jev never just says orange. Given an iPhone and color choices it returns 80% orange, 10% red, 10% blue — calibrated confidence you can threshold, route, or escalate on. Define choices in the schema; Jev scores them.","story":"Jev never just says orange. Given an iPhone and color choices it returns 80% orange, 10% red, 10% blue — calibrated confidence you can threshold, route, or escalate on. Define choices in the schema; Jev scores them.","sourceHandle":"Jev launch video","sourceUrl":"https://youtu.be/4mTLpuQpB80","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T20:30:00Z","origins":["community"]},{"id":"submission:discord-1550586851343995032","title":"Hi all. Been reading everything here since launch and lost track of what I'd seen, so I made","category":"Integrations","prompt":null,"description":"Hi all. Been reading everything here since launch and lost track of what I'd seen, so I made a list. Went through about 400 Jev projects and kept 250 entries worth your time: https://github.com/valentynkit/awesome-jev-typesafe\n\nGrouped by what you'd install, with a short \"know before you build\" bit up top.\n\nIf your project is in there and I got it wrong, tell me. If it's not, drop it below or PR it and I'll add it.\n\nLinked projects:\n• valentynkit/awesome-jev-typesafe — Typed decisions with TypeSafe's Jev, the first System One model - valentynkit/awesome-jev-typesafe (github.com/valentynkit/awesome-jev-typesafe)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550586851343995032","story":"Hi all. Been reading everything here since launch and lost track of what I'd seen, so I made a list. Went through about 400 Jev projects and kept 250 entries worth your time: https://github.com/valentynkit/awesome-jev-typesafe\n\nGrouped by what you'd install, with a short \"know before you build\" bit up top.\n\nIf your project is in there and I got it wrong, tell me. If it's not, drop it below or PR it and I'll add it.\n\nLinked projects:\n• valentynkit/awesome-jev-typesafe — Typed decisions with TypeSafe's Jev, the first System One model - valentynkit/awesome-jev-typesafe (github.com/valentynkit/awesome-jev-typesafe)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550586851343995032","sourceHandle":"valentynkit","sourceUrl":"https://github.com/valentynkit/awesome-jev-typesafe","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T19:18:33.871000+00:00","origins":["community"]},{"id":"submission:discord-1550586441036464140","title":"Shared my first experiences with Jev in my newsletter here.","category":"Food","prompt":null,"description":"Shared my first experiences with Jev in my newsletter here.  Some interesting findings and a proof for the origins of the Jev name.\nhttps://www.linkedin.com/pulse/sandbox-side-quest-1-jev-system-one-model-ryan-bruins-rpesc/\nI replicated the \"Line-by-line Search\" cookbook example and benchmarked it against an LLM, proving the claimed performance gains, but also showing the massive input token count for using this search approach with the API.  I tried a binary search approach (Branch & Bound), and sadly that took even more input tokens than the brute-force line-by-line for my use case.  Anyone know of a more efficient approach that would result in significantly less input tokens?  I would be happy to learn. 😁\n\nLinked projects:\n• Sandbox Side Quest 1: Jev System One Model — Jev processed my document 23 times faster than a cheap LLM and caught a false positive the LLM missed. Then I looked at the token count. (linkedin.com/pulse/sandbox-side-quest-1-jev-system-one-model-ryan-brui)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550586441036464140","story":"Shared my first experiences with Jev in my newsletter here.  Some interesting findings and a proof for the origins of the Jev name.\nhttps://www.linkedin.com/pulse/sandbox-side-quest-1-jev-system-one-model-ryan-bruins-rpesc/\nI replicated the \"Line-by-line Search\" cookbook example and benchmarked it against an LLM, proving the claimed performance gains, but also showing the massive input token count for using this search approach with the API.  I tried a binary search approach (Branch & Bound), and sadly that took even more input tokens than the brute-force line-by-line for my use case.  Anyone know of a more efficient approach that would result in significantly less input tokens?  I would be happy to learn. 😁\n\nLinked projects:\n• Sandbox Side Quest 1: Jev System One Model — Jev processed my document 23 times faster than a cheap LLM and caught a false positive the LLM missed. Then I looked at the token count. (linkedin.com/pulse/sandbox-side-quest-1-jev-system-one-model-ryan-brui)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550586441036464140","sourceHandle":"sh0rtythegreat","sourceUrl":"https://www.linkedin.com/pulse/sandbox-side-quest-1-jev-system-one-model-ryan-bruins-rpesc/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T19:16:56.046000+00:00","origins":["community"]},{"id":"submission:discord-1550586432698187906","title":"Instead of wiring every button to a specific screen, you register the components your app can show.","category":"Integrations","prompt":null,"description":"Instead of wiring every button to a specific screen, you register the components your app can show. When someone clicks, Jev gets the button text, surrounding content, and app state, then picks what to show next. Change \"Buy Pro\" to \"Compare plans\" and that wording can change the behavior without editing the click handler.\n\nI built NoFlow because I wanted to see how much UI logic I could replace with Jev before regretting it.\n\nYes, I'm putting a model between a button and a modal. Try me. The runtime limits it to registered components, with confidence thresholds, fallbacks, and confirmation checks.\n\nI'm curious where it becomes useful and where you'd absolutely refuse to use it.\n\nhttps://noflow.casungo.workers.dev/? - https://github.com/casungo/noflow-runtime - https://www.npmjs.com/package/noflow-runtime\n\nLinked projects:\n• NoFlow | Buttons with opinions — A semantic UI runtime that turns button intent into registered UI affordances. (noflow.casungo.workers.dev)\n• casungo/noflow-runtime — Tired of knowing exactly what your button does? NoFlow lets buttons describe intent and picks from your registered UI affordances. - casungo/noflow-runtime (github.com/casungo/noflow-runtime)\n• 1789759013581.png — image/png · 4 KB (cdn.discordapp.com/attachments/1483217545040232493/1550586431842427040)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550586432698187906","story":"Instead of wiring every button to a specific screen, you register the components your app can show. When someone clicks, Jev gets the button text, surrounding content, and app state, then picks what to show next. Change \"Buy Pro\" to \"Compare plans\" and that wording can change the behavior without editing the click handler.\n\nI built NoFlow because I wanted to see how much UI logic I could replace with Jev before regretting it.\n\nYes, I'm putting a model between a button and a modal. Try me. The runtime limits it to registered components, with confidence thresholds, fallbacks, and confirmation checks.\n\nI'm curious where it becomes useful and where you'd absolutely refuse to use it.\n\nhttps://noflow.casungo.workers.dev/? - https://github.com/casungo/noflow-runtime - https://www.npmjs.com/package/noflow-runtime\n\nLinked projects:\n• NoFlow | Buttons with opinions — A semantic UI runtime that turns button intent into registered UI affordances. (noflow.casungo.workers.dev)\n• casungo/noflow-runtime — Tired of knowing exactly what your button does? NoFlow lets buttons describe intent and picks from your registered UI affordances. - casungo/noflow-runtime (github.com/casungo/noflow-runtime)\n• 1789759013581.png — image/png · 4 KB (cdn.discordapp.com/attachments/1483217545040232493/1550586431842427040)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550586432698187906","sourceHandle":"casungo","sourceUrl":"https://github.com/casungo/noflow-runtime","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T19:16:54.058000+00:00","origins":["community"]},{"id":"submission:discord-1550585292887425097","title":"Good question, I haven't figured this out yet haha.","category":"Fun","prompt":null,"description":"Good question, I haven't figured this out yet haha. My first attempt just now is trying to find what input is necessary to have it accurately estimate which game states are favorable from a list of options. \n\nSo far, passing in code samples of how the game works with game states as the input doesn't yield good results","story":"Good question, I haven't figured this out yet haha. My first attempt just now is trying to find what input is necessary to have it accurately estimate which game states are favorable from a list of options. \n\nSo far, passing in code samples of how the game works with game states as the input doesn't yield good results","sourceHandle":"Googolplex","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550585292887425097","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T19:12:22.306000+00:00","origins":["community"]},{"id":"submission:discord-1550583220318507041","title":"I’m building Aurapunk, an open-source multi-agent IDE.","category":"Evaluation","prompt":null,"description":"I’m building Aurapunk, an open-source multi-agent IDE. I’m exploring Jev as a fast decision layer for orchestrating models and tool calls—routing each task to the right model/tool, while using confidence scores to trigger fallbacks or human review. https://github.com/flashlan/aurapunk-ide\n\nLinked projects:\n• flashlan/aurapunk-ide — vibe-kanban-indie fork. Contribute to flashlan/aurapunk-ide development by creating an account on GitHub. (github.com/flashlan/aurapunk-ide)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550583220318507041","story":"I’m building Aurapunk, an open-source multi-agent IDE. I’m exploring Jev as a fast decision layer for orchestrating models and tool calls—routing each task to the right model/tool, while using confidence scores to trigger fallbacks or human review. https://github.com/flashlan/aurapunk-ide\n\nLinked projects:\n• flashlan/aurapunk-ide — vibe-kanban-indie fork. Contribute to flashlan/aurapunk-ide development by creating an account on GitHub. (github.com/flashlan/aurapunk-ide)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550583220318507041","sourceHandle":"EvertonKozloski","sourceUrl":"https://github.com/flashlan/aurapunk-ide","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T19:04:08.167000+00:00","origins":["community"]},{"id":"submission:discord-1550581905005477918","title":"Update with better ux, pipable jev command and traceable decisions","category":"Integrations","prompt":null,"description":"Update with better ux, pipable jev command and traceable decisions https://github.com/rhighs/jev-code\n\nLinked projects:\n• rhighs/jev-code — Interactive TypeScript coding CLI powered by Jev typed decisions and constrained AST generation. - rhighs/jev-code (github.com/rhighs/jev-code)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550581905005477918","story":"Update with better ux, pipable jev command and traceable decisions https://github.com/rhighs/jev-code\n\nLinked projects:\n• rhighs/jev-code — Interactive TypeScript coding CLI powered by Jev typed decisions and constrained AST generation. - rhighs/jev-code (github.com/rhighs/jev-code)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550581905005477918","sourceHandle":"Roв","sourceUrl":"https://github.com/rhighs/jev-code","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T18:58:54.572000+00:00","origins":["community"]},{"id":"submission:discord-1550581784922554498","title":"here you can watch jev play nethack live we show each movs action distribution as well and you can get the data which","category":"Work","prompt":null,"description":"https://jev-nethack-live.poppybyte.chatgpt.site/ here you can watch jev play nethack live we show each movs action distribution as well and you can get the data which is cool\n\nLinked projects:\n• Jev / NetHack — public run (jev-nethack-live.poppybyte.chatgpt.site)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550581784922554498","story":"https://jev-nethack-live.poppybyte.chatgpt.site/ here you can watch jev play nethack live we show each movs action distribution as well and you can get the data which is cool\n\nLinked projects:\n• Jev / NetHack — public run (jev-nethack-live.poppybyte.chatgpt.site)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550581784922554498","sourceHandle":"0xBunny","sourceUrl":"https://jev-nethack-live.poppybyte.chatgpt.site/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T18:58:25.942000+00:00","origins":["community"]},{"id":"submission:discord-1550580280841084959","title":"JEV integrations so far 1.","category":"Fun","prompt":null,"description":"JEV integrations so far\n\n1. JEV Codex plugin (public)\nhttps://github.com/integrate-your-mind/jev-codex-plugin\nsource: https://github.com/integrate-your-mind/jev-codex-plugin/tree/main/source/jev-workflows\nCodex hooks, decision classification, failure diagnosis, completion review\n\n2. QQ native JEV (public)\nhttps://github.com/retsu-AI/qq\nPR: https://github.com/retsu-AI/qq/pull/72\nEnforced JEV checkpoints + reasoning-effort\n\n3. Agent Cloud JEV assessor + QQ onboarding (private)\nhttps://github.com/mondello-research/mondello-research/tree/feat/jev-assessment-layer/packages/jev-assessor\nPR: https://github.com/mondello-research/mondello-research/pull/112\nAssessment core, CLI/MCP, eval, onboarding companion\n\n4. JEV × NetHack (public)\nhttps://github.com/integrate-your-mind/jev-nethack\nrunner: https://github.com/integrate-your-mind/jev-nethack/tree/main/until-win\nGameplay, recovery, research, recordings, viewer\n\nRelated\nQQ Cloud (private):\n\nLinked projects:\n• integrate-your-mind/jev-codex-plugin — Open-source Codex plugin for TypeSafe Jev decision consultation, failure diagnosis, and evidence-based completion review - integrate-your-mind/jev-codex-plugin (github.com/integrate-your-mind/jev-codex-plugin)\n• integrate-your-mind/jev-codex-plugin — Open-source Codex plugin for TypeSafe Jev decision consultation, failure diagnosis, and evidence-based completion review - integrate-your-mind/jev-codex-plugin (github.com/integrate-your-mind/jev-codex-plugin/tree/main/source/jev-w)\n• retsu-AI/qq — A composable harness for running and orchestrating AI agents. - retsu-AI/qq (github.com/retsu-AI/qq)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550580280841084959","story":"JEV integrations so far\n\n1. JEV Codex plugin (public)\nhttps://github.com/integrate-your-mind/jev-codex-plugin\nsource: https://github.com/integrate-your-mind/jev-codex-plugin/tree/main/source/jev-workflows\nCodex hooks, decision classification, failure diagnosis, completion review\n\n2. QQ native JEV (public)\nhttps://github.com/retsu-AI/qq\nPR: https://github.com/retsu-AI/qq/pull/72\nEnforced JEV checkpoints + reasoning-effort\n\n3. Agent Cloud JEV assessor + QQ onboarding (private)\nhttps://github.com/mondello-research/mondello-research/tree/feat/jev-assessment-layer/packages/jev-assessor\nPR: https://github.com/mondello-research/mondello-research/pull/112\nAssessment core, CLI/MCP, eval, onboarding companion\n\n4. JEV × NetHack (public)\nhttps://github.com/integrate-your-mind/jev-nethack\nrunner: https://github.com/integrate-your-mind/jev-nethack/tree/main/until-win\nGameplay, recovery, research, recordings, viewer\n\nRelated\nQQ Cloud (private):\n\nLinked projects:\n• integrate-your-mind/jev-codex-plugin — Open-source Codex plugin for TypeSafe Jev decision consultation, failure diagnosis, and evidence-based completion review - integrate-your-mind/jev-codex-plugin (github.com/integrate-your-mind/jev-codex-plugin)\n• integrate-your-mind/jev-codex-plugin — Open-source Codex plugin for TypeSafe Jev decision consultation, failure diagnosis, and evidence-based completion review - integrate-your-mind/jev-codex-plugin (github.com/integrate-your-mind/jev-codex-plugin/tree/main/source/jev-w)\n• retsu-AI/qq — A composable harness for running and orchestrating AI agents. - retsu-AI/qq (github.com/retsu-AI/qq)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550580280841084959","sourceHandle":"0xBunny","sourceUrl":"https://github.com/integrate-your-mind/jev-codex-plugin","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T18:52:27.341000+00:00","origins":["community"]},{"id":"submission:discord-1550579426264354847","title":"lifelike.build is a small village that runs itself, streamed live to your browser.","category":"Work","prompt":null,"description":"https://lifelike.build/ \n\nlifelike.build is a small village that runs itself, streamed live to your browser. Five families forage, farm, trade, gossip, raise children and dogs, and take their chances in the woods. Every judgment call a villager makes comes from Jev, TypeSafe's decision model, and a second small model keeps a running newspaper on what happens. Open any villager to see what they need, feel, remember, and why they did what they just did\n\nLinked projects:\n• lifelike.build — Ember Hollow, a living village run on Jev. Needs, moods, memories, gossip, trade and the wild, streamed live. (lifelike.build)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550579426264354847","story":"https://lifelike.build/ \n\nlifelike.build is a small village that runs itself, streamed live to your browser. Five families forage, farm, trade, gossip, raise children and dogs, and take their chances in the woods. Every judgment call a villager makes comes from Jev, TypeSafe's decision model, and a second small model keeps a running newspaper on what happens. Open any villager to see what they need, feel, remember, and why they did what they just did\n\nLinked projects:\n• lifelike.build — Ember Hollow, a living village run on Jev. Needs, moods, memories, gossip, trade and the wild, streamed live. (lifelike.build)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550579426264354847","sourceHandle":"dminGod","sourceUrl":"https://lifelike.build/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T18:49:03.594000+00:00","origins":["community"]},{"id":"submission:discord-1550578203037405225","title":"IDK if Steve is here but this is diabolical.","category":"Work","prompt":null,"description":"IDK if Steve is here but this is diabolical. Took `vibe coding` to a whole new level https://probably-lang.southpolesteve.workers.dev/\n\nLinked projects:\n• Probably — a programming language for LLM workflows (probably-lang.southpolesteve.workers.dev)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550578203037405225","story":"IDK if Steve is here but this is diabolical. Took `vibe coding` to a whole new level https://probably-lang.southpolesteve.workers.dev/\n\nLinked projects:\n• Probably — a programming language for LLM workflows (probably-lang.southpolesteve.workers.dev)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550578203037405225","sourceHandle":"Max N","sourceUrl":"https://probably-lang.southpolesteve.workers.dev/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T18:44:11.954000+00:00","origins":["community"]},{"id":"submission:discord-1550576708464414740","title":"Building Modus Computer, mobile-native computer agent:","category":"Work","prompt":null,"description":"Building Modus Computer, mobile-native computer agent: https://x.com/envystor/status/2101016575226617901\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550576708464414740","story":"Building Modus Computer, mobile-native computer agent: https://x.com/envystor/status/2101016575226617901\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550576708464414740","sourceHandle":"jroller","sourceUrl":"https://x.com/envystor/status/2101016575226617901","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T18:38:15.620000+00:00","origins":["community"]},{"id":"submission:discord-1550576053334839486","title":"Hey folks — I built Your Signal, an open-source Chrome extension that uses Jev to filter the X timeline around your","category":"Integrations","prompt":null,"description":"Hey folks — I built Your Signal, an open-source Chrome extension that uses Jev to filter the X timeline around your actual interests.\nIt sends eligible text from posts already visible in the feed to Jev in batched typed questions. Jev returns signals for relevance, substance, practical value, promotion, and engagement bait; the extension then combines them locally using user-defined weights and thresholds.\nPosts can be highlighted, labelled, dimmed, collapsed, or hidden, and every change is reversible. It’s BYOK, MIT-licensed, has no telemetry, and uses no intermediary backend.\nDemo: https://mithrilman.github.io/your-signal/artifacts/your-signal-demo-social.mp4\nCode: https://github.com/MithrilMan/your-signal\nI’d love feedback from other Jev builders, especially on the signal design and batching strategy.\n\nLinked projects:\n• MithrilMan/your-signal — Open-source BYOK Chrome extension for personal, reversible X timeline filters. - MithrilMan/your-signal (github.com/MithrilMan/your-signal)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550576053334839486","story":"Hey folks — I built Your Signal, an open-source Chrome extension that uses Jev to filter the X timeline around your actual interests.\nIt sends eligible text from posts already visible in the feed to Jev in batched typed questions. Jev returns signals for relevance, substance, practical value, promotion, and engagement bait; the extension then combines them locally using user-defined weights and thresholds.\nPosts can be highlighted, labelled, dimmed, collapsed, or hidden, and every change is reversible. It’s BYOK, MIT-licensed, has no telemetry, and uses no intermediary backend.\nDemo: https://mithrilman.github.io/your-signal/artifacts/your-signal-demo-social.mp4\nCode: https://github.com/MithrilMan/your-signal\nI’d love feedback from other Jev builders, especially on the signal design and batching strategy.\n\nLinked projects:\n• MithrilMan/your-signal — Open-source BYOK Chrome extension for personal, reversible X timeline filters. - MithrilMan/your-signal (github.com/MithrilMan/your-signal)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550576053334839486","sourceHandle":"MithrilMan","sourceUrl":"https://github.com/MithrilMan/your-signal","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T18:35:39.425000+00:00","origins":["community"]},{"id":"submission:discord-1550574651883790346","title":"have jev check if code is malicious before you run it, its cheap enough to scan entire codebases can also be used as a","category":"Integrations","prompt":null,"description":"have jev check if code is malicious before you run it, its cheap enough to scan entire codebases\n\ncan also be used as a first line defense against malicious prs\n\nhttps://github.com/luantak/is-malicious\n\nLinked projects:\n• luantak/is-malicious — A codebase scanner that helps you not run malicous code - luantak/is-malicious (github.com/luantak/is-malicious)\n• Screenshot_2026-09-18_at_19.35.35.png — image/png · 205 KB (cdn.discordapp.com/attachments/1483217545040232493/1550574651397247036)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550574651883790346","story":"have jev check if code is malicious before you run it, its cheap enough to scan entire codebases\n\ncan also be used as a first line defense against malicious prs\n\nhttps://github.com/luantak/is-malicious\n\nLinked projects:\n• luantak/is-malicious — A codebase scanner that helps you not run malicous code - luantak/is-malicious (github.com/luantak/is-malicious)\n• Screenshot_2026-09-18_at_19.35.35.png — image/png · 205 KB (cdn.discordapp.com/attachments/1483217545040232493/1550574651397247036)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550574651883790346","sourceHandle":"Paul","sourceUrl":"https://github.com/luantak/is-malicious","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T18:30:05.293000+00:00","origins":["community"]},{"id":"submission:discord-1550574613711290500","title":"Hey, made a post on X listing best Jev projects","category":"Social","prompt":null,"description":"Hey, made a post on X listing best Jev projects\nhttps://x.com/valentynkit/status/2101014650624028997?s=20\n\nLinked projects:\n• Post by @valentynkit — Nobody has shipped 400 projects on a 3-day-old model before. This one can't write a sentence. Jev (@typesafeai) launched Tuesday. State in, probabilities out, 100 ms, no text. Went through all 400, kept the ones worth yo (x.com/valentynkit/status/2101014650624028997)\n• Post by @valentynkit — Nobody has shipped 400 projects on a 3-day-old model before. This one can't write a sentence. Jev (@typesafeai) launched Tuesday. State in, probabilities out, 100 ms, no text. Went through all 400, kept the ones worth yo (twitter.com/valentynkit/status/2101014650624028997)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550574613711290500","story":"Hey, made a post on X listing best Jev projects\nhttps://x.com/valentynkit/status/2101014650624028997?s=20\n\nLinked projects:\n• Post by @valentynkit — Nobody has shipped 400 projects on a 3-day-old model before. This one can't write a sentence. Jev (@typesafeai) launched Tuesday. State in, probabilities out, 100 ms, no text. Went through all 400, kept the ones worth yo (x.com/valentynkit/status/2101014650624028997)\n• Post by @valentynkit — Nobody has shipped 400 projects on a 3-day-old model before. This one can't write a sentence. Jev (@typesafeai) launched Tuesday. State in, probabilities out, 100 ms, no text. Went through all 400, kept the ones worth yo (twitter.com/valentynkit/status/2101014650624028997)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550574613711290500","sourceHandle":"valentynkit","sourceUrl":"https://x.com/valentynkit/status/2101014650624028997?s=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T18:29:56.192000+00:00","origins":["community"]},{"id":"submission:discord-1550574397964951674","title":"Auteur Intelligence is entering public beta in a few days.","category":"Family","prompt":null,"description":"https://auteurintelligence.com/  Auteur Intelligence is entering public beta in a few days.  I've been building it for a year and although it is awesome as a tool of alignment between any model family open source frontier or otherwise, it also takes more time to make more accurate code and uses local classifier/routers like Gemma to make sure the trains run on time.  I woke up this morning after spending most of the evening figuring out how to make the process of creation using Auteur faster for my commercial release, and saw Jev.  This is an absolute gamechanger for my product.  To say I'm stoked about it, is an understatement.  I'm starting A/B testing today running Jev through its paces with the Vercel API, and i would love to have it natively from TypeSafe as well.\n\nLinked projects:\n• The Persistent AI Production Studio — Auteur Intelligence turns the AI models and tools you already use into one persistent, governed studio for story, film, software, games, and launch. (auteurintelligence.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550574397964951674","story":"https://auteurintelligence.com/  Auteur Intelligence is entering public beta in a few days.  I've been building it for a year and although it is awesome as a tool of alignment between any model family open source frontier or otherwise, it also takes more time to make more accurate code and uses local classifier/routers like Gemma to make sure the trains run on time.  I woke up this morning after spending most of the evening figuring out how to make the process of creation using Auteur faster for my commercial release, and saw Jev.  This is an absolute gamechanger for my product.  To say I'm stoked about it, is an understatement.  I'm starting A/B testing today running Jev through its paces with the Vercel API, and i would love to have it natively from TypeSafe as well.\n\nLinked projects:\n• The Persistent AI Production Studio — Auteur Intelligence turns the AI models and tools you already use into one persistent, governed studio for story, film, software, games, and launch. (auteurintelligence.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550574397964951674","sourceHandle":"Lance Universe","sourceUrl":"https://auteurintelligence.com/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T18:29:04.754000+00:00","origins":["community"]},{"id":"submission:discord-1550573317046665226","title":"Then this is interesting/live real time fallacy detector that sits on X:","category":"Work","prompt":null,"description":"Then this is interesting/live real time fallacy detector that sits on X: https://x.com/smalltownrobot/status/2100999987572203809\n\nLinked projects:\n• Post by @smalltownrobot — LOGICAL FALLACIES: Next jev tool I'm working on is a @brave extension that gives a probabilistic fallacy score to every post on X timeline in realtime. It also flagged well reasoned, internally consistent + logical posts (x.com/smalltownrobot/status/2100999987572203809)\n• Post by @smalltownrobot — LOGICAL FALLACIES: Next jev tool I'm working on is a @brave extension that gives a probabilistic fallacy score to every post on X timeline in realtime. It also flagged well reasoned, internally consistent + logical posts (twitter.com/smalltownrobot/status/2100999987572203809)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550573317046665226","story":"Then this is interesting/live real time fallacy detector that sits on X: https://x.com/smalltownrobot/status/2100999987572203809\n\nLinked projects:\n• Post by @smalltownrobot — LOGICAL FALLACIES: Next jev tool I'm working on is a @brave extension that gives a probabilistic fallacy score to every post on X timeline in realtime. It also flagged well reasoned, internally consistent + logical posts (x.com/smalltownrobot/status/2100999987572203809)\n• Post by @smalltownrobot — LOGICAL FALLACIES: Next jev tool I'm working on is a @brave extension that gives a probabilistic fallacy score to every post on X timeline in realtime. It also flagged well reasoned, internally consistent + logical posts (twitter.com/smalltownrobot/status/2100999987572203809)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550573317046665226","sourceHandle":"KlingonChef","sourceUrl":"https://x.com/smalltownrobot/status/2100999987572203809","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T18:24:47.043000+00:00","origins":["community"]},{"id":"submission:discord-1550573185181810779","title":"I've got three projects to showcase I'm working on:","category":"Work","prompt":null,"description":"I've got three projects to showcase I'm working on:\n\nhttps://x.com/smalltownrobot/status/2100600923672228189\n\nLinked projects:\n• Post by @smalltownrobot — My @typesafeai jev example. 1024 personas with specific geography/age/ideological markers (testing - not a strong methodology) to see how each respond to a changing policy discussion in real time. In this case, aliens. H (x.com/smalltownrobot/status/2100600923672228189)\n• Post by @smalltownrobot — My @typesafeai jev example. 1024 personas with specific geography/age/ideological markers (testing - not a strong methodology) to see how each respond to a changing policy discussion in real time. In this case, aliens. H (twitter.com/smalltownrobot/status/2100600923672228189)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550573185181810779","story":"I've got three projects to showcase I'm working on:\n\nhttps://x.com/smalltownrobot/status/2100600923672228189\n\nLinked projects:\n• Post by @smalltownrobot — My @typesafeai jev example. 1024 personas with specific geography/age/ideological markers (testing - not a strong methodology) to see how each respond to a changing policy discussion in real time. In this case, aliens. H (x.com/smalltownrobot/status/2100600923672228189)\n• Post by @smalltownrobot — My @typesafeai jev example. 1024 personas with specific geography/age/ideological markers (testing - not a strong methodology) to see how each respond to a changing policy discussion in real time. In this case, aliens. H (twitter.com/smalltownrobot/status/2100600923672228189)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550573185181810779","sourceHandle":"KlingonChef","sourceUrl":"https://x.com/smalltownrobot/status/2100600923672228189","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T18:24:15.604000+00:00","origins":["community"]},{"id":"submission:discord-1550572592308428910","title":"We integrated Jev in our chat on public data for Bulgaria (elections, procurements, budgets, politicians etc).","category":"Money","prompt":null,"description":"We integrated Jev in our chat on public data for Bulgaria (elections, procurements, budgets, politicians etc). 230+ tool calls,\n\nWhat we measured:\n\n- Robustness is where it shines. With typos, Jev alone picks the right tool 94% (EN) / 86% (BG) of the time. Our keyword rules: 28% / 34%. Reworded questions: 86% vs 15–25%.\n- It cannot fill open values — names, company IDs, free text. It has no primitive that produces one.\nSo it now routes for Gemini 3.5 Flash-Lite: Jev picks the tool, Gemini fills only that tool's parameters. Same day, same 474 questions: parameters right 94.3% / 90.6% vs 83.0% / 77.4% for Gemini alone, with a 4x shorter prompt (3,697 vs 16,150 tokens) and ~0.2 s added median latency.\n-  Weak spot: Bulgarian typed in Latin letters (shliokatitsa) — 71% for Jev vs 94% for Gemini. When Jev is unsure, the question goes to Gemini with the full catalogue.\n\nFull results, method and decision history: https://naiasno.bg/chat/evals\n\nLinked projects:\n• Оценка на асистента | Наясно — Измервания на избора на инструменти и аргументи. Това не е оценка на фактическата точност на всеки отговор. (naiasno.bg/chat/evals)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550572592308428910","story":"We integrated Jev in our chat on public data for Bulgaria (elections, procurements, budgets, politicians etc). 230+ tool calls,\n\nWhat we measured:\n\n- Robustness is where it shines. With typos, Jev alone picks the right tool 94% (EN) / 86% (BG) of the time. Our keyword rules: 28% / 34%. Reworded questions: 86% vs 15–25%.\n- It cannot fill open values — names, company IDs, free text. It has no primitive that produces one.\nSo it now routes for Gemini 3.5 Flash-Lite: Jev picks the tool, Gemini fills only that tool's parameters. Same day, same 474 questions: parameters right 94.3% / 90.6% vs 83.0% / 77.4% for Gemini alone, with a 4x shorter prompt (3,697 vs 16,150 tokens) and ~0.2 s added median latency.\n-  Weak spot: Bulgarian typed in Latin letters (shliokatitsa) — 71% for Jev vs 94% for Gemini. When Jev is unsure, the question goes to Gemini with the full catalogue.\n\nFull results, method and decision history: https://naiasno.bg/chat/evals\n\nLinked projects:\n• Оценка на асистента | Наясно — Измервания на избора на инструменти и аргументи. Това не е оценка на фактическата точност на всеки отговор. (naiasno.bg/chat/evals)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550572592308428910","sourceHandle":"Atanas","sourceUrl":"https://naiasno.bg/chat/evals","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T18:21:54.252000+00:00","origins":["community"]},{"id":"submission:discord-1550572156209995829","title":"have jev check if code is malicious before you run it","category":"Integrations","prompt":null,"description":"have jev check if code is malicious before you run it\nhttps://github.com/luantak/is-malicious\n\nLinked projects:\n• luantak/is-malicious — A codebase scanner that helps you not run malicous code - luantak/is-malicious (github.com/luantak/is-malicious)\n• Screenshot_2026-09-18_at_19.35.35.png — image/png · 205 KB (cdn.discordapp.com/attachments/1483217545040232493/1550572156046413984)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550572156209995829","story":"have jev check if code is malicious before you run it\nhttps://github.com/luantak/is-malicious\n\nLinked projects:\n• luantak/is-malicious — A codebase scanner that helps you not run malicous code - luantak/is-malicious (github.com/luantak/is-malicious)\n• Screenshot_2026-09-18_at_19.35.35.png — image/png · 205 KB (cdn.discordapp.com/attachments/1483217545040232493/1550572156046413984)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550572156209995829","sourceHandle":"Paul","sourceUrl":"https://github.com/luantak/is-malicious","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T18:20:10.278000+00:00","origins":["community"]},{"id":"submission:discord-1550569585881911397","title":"If you haven't tried Jev yet, the quickest way to see how fast deterministic decisions feel is hooking it straight","category":"Integrations","prompt":null,"description":"If you haven't tried Jev yet, the quickest way to see how fast deterministic decisions feel is hooking it straight into your agent. This connector hands back typed judgments and raw probabilities your code can branch on instantly. You can wire it into Claude Code, Codex, or pi in seconds.\n\nhttps://github.com/itsmostafa/typesafe-mcp\n\nLinked projects:\n• itsmostafa/typesafe-mcp — mcp connector to give your AI agent direct access to typesafe ai's jev model - itsmostafa/typesafe-mcp (github.com/itsmostafa/typesafe-mcp)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550569585881911397","story":"If you haven't tried Jev yet, the quickest way to see how fast deterministic decisions feel is hooking it straight into your agent. This connector hands back typed judgments and raw probabilities your code can branch on instantly. You can wire it into Claude Code, Codex, or pi in seconds.\n\nhttps://github.com/itsmostafa/typesafe-mcp\n\nLinked projects:\n• itsmostafa/typesafe-mcp — mcp connector to give your AI agent direct access to typesafe ai's jev model - itsmostafa/typesafe-mcp (github.com/itsmostafa/typesafe-mcp)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550569585881911397","sourceHandle":"thecubistsmind","sourceUrl":"https://github.com/itsmostafa/typesafe-mcp","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T18:09:57.464000+00:00","origins":["community"]},{"id":"submission:discord-1550567672696275046","title":"**Introducing feelings** A decision model can answer a typed question about a value with a calibrated probability.","category":"Integrations","prompt":null,"description":"**Introducing feelings**\n\nA decision model can answer a typed question about a value with a calibrated probability. Probably showed what code reads like when an if can ask one of those questions directly instead of hand-rolling a prompt. feelings brings that construct, feels, to Ruby. Inspired by Probably.\n\nhttps://github.com/obie/feelings\n\nLinked projects:\n• obie/feelings — Probabilistic conditionals for Ruby: Feelings(message).like?(\"genuinely urgent\") - obie/feelings (github.com/obie/feelings)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550567672696275046","story":"**Introducing feelings**\n\nA decision model can answer a typed question about a value with a calibrated probability. Probably showed what code reads like when an if can ask one of those questions directly instead of hand-rolling a prompt. feelings brings that construct, feels, to Ruby. Inspired by Probably.\n\nhttps://github.com/obie/feelings\n\nLinked projects:\n• obie/feelings — Probabilistic conditionals for Ruby: Feelings(message).like?(\"genuinely urgent\") - obie/feelings (github.com/obie/feelings)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550567672696275046","sourceHandle":"ObieFernandez","sourceUrl":"https://github.com/obie/feelings","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T18:02:21.325000+00:00","origins":["community"]},{"id":"submission:discord-1550567480215470270","title":"It worked wth","category":"Work","prompt":null,"description":"It worked wth\nhttps://x.com/brainstormity/status/2101008659639672833\n\nLinked projects:\n• Post by @brainstormity — JEV powered twitter market sentiment analysis won. Told to buy Bitcoin at $76k, 15 hrs ago And we are at $81k rn Open sourcing the whole code soon! (x.com/brainstormity/status/2101008659639672833)\n• Post by @brainstormity — JEV powered twitter market sentiment analysis won. Told to buy Bitcoin at $76k, 15 hrs ago And we are at $81k rn Open sourcing the whole code soon! (twitter.com/brainstormity/status/2101008659639672833)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550567480215470270","story":"It worked wth\nhttps://x.com/brainstormity/status/2101008659639672833\n\nLinked projects:\n• Post by @brainstormity — JEV powered twitter market sentiment analysis won. Told to buy Bitcoin at $76k, 15 hrs ago And we are at $81k rn Open sourcing the whole code soon! (x.com/brainstormity/status/2101008659639672833)\n• Post by @brainstormity — JEV powered twitter market sentiment analysis won. Told to buy Bitcoin at $76k, 15 hrs ago And we are at $81k rn Open sourcing the whole code soon! (twitter.com/brainstormity/status/2101008659639672833)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550567480215470270","sourceHandle":"brainstormity","sourceUrl":"https://x.com/brainstormity/status/2101008659639672833","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T18:01:35.434000+00:00","origins":["community"]},{"id":"submission:discord-1550566926042923008","title":"JevGate reviewd my entire code-base for 20 cents and even cached all that so new runs on CI will only check differs ,","category":"Work","prompt":null,"description":"JevGate reviewd my entire code-base for 20 cents and even cached all that so new runs on CI will only check differs , yep i will finalyl reduce dev ops costs\n\nLinked projects:\n• image.png — image/png · 114 KB (cdn.discordapp.com/attachments/1483217545040232493/1550566925673832561)","story":"JevGate reviewd my entire code-base for 20 cents and even cached all that so new runs on CI will only check differs , yep i will finalyl reduce dev ops costs\n\nLinked projects:\n• image.png — image/png · 114 KB (cdn.discordapp.com/attachments/1483217545040232493/1550566925673832561)","sourceHandle":"Binatof","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550566926042923008","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T17:59:23.309000+00:00","origins":["community"]},{"id":"submission:discord-1550566024691060856","title":"built an MCP gateway that uses jev and seen 79% fewer input tokens on MCP heavy tasks","category":"Work","prompt":null,"description":"https://x.com/vpkxvoice/status/2100995268133146698 built an MCP gateway that uses jev and seen 79% fewer input tokens on MCP heavy tasks\n\nLinked projects:\n• Post by @vpkxvoice — Well I I built a local MCP gateway that connects agents to multiple mcp servers and jev finds the tool in the mcp gateway to execute and agent will only fill the arguments. LLMs dont have to go through all the tools or n (x.com/vpkxvoice/status/2100995268133146698)\n• Post by @vpkxvoice — Well I I built a local MCP gateway that connects agents to multiple mcp servers and jev finds the tool in the mcp gateway to execute and agent will only fill the arguments. LLMs dont have to go through all the tools or n (twitter.com/vpkxvoice/status/2100995268133146698)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550566024691060856","story":"https://x.com/vpkxvoice/status/2100995268133146698 built an MCP gateway that uses jev and seen 79% fewer input tokens on MCP heavy tasks\n\nLinked projects:\n• Post by @vpkxvoice — Well I I built a local MCP gateway that connects agents to multiple mcp servers and jev finds the tool in the mcp gateway to execute and agent will only fill the arguments. LLMs dont have to go through all the tools or n (x.com/vpkxvoice/status/2100995268133146698)\n• Post by @vpkxvoice — Well I I built a local MCP gateway that connects agents to multiple mcp servers and jev finds the tool in the mcp gateway to execute and agent will only fill the arguments. LLMs dont have to go through all the tools or n (twitter.com/vpkxvoice/status/2100995268133146698)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550566024691060856","sourceHandle":"Prasanth","sourceUrl":"https://x.com/vpkxvoice/status/2100995268133146698","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T17:55:48.410000+00:00","origins":["community"]},{"id":"submission:discord-1550565211616968727","title":"thanks! this is what my gpt gave after seeing ur site Design it in a playful neo-brutalist style:","category":"Shopping","prompt":null,"description":"thanks! this is what my gpt gave after seeing ur site \n\nDesign it in a playful neo-brutalist style: chunky bold text, thick black borders, offset shadows, rounded cards and buttons, flat pastel colors, dotted cream background, simple cartoonish shapes, and a fun sticker-like web interface aesthetic.","story":"thanks! this is what my gpt gave after seeing ur site \n\nDesign it in a playful neo-brutalist style: chunky bold text, thick black borders, offset shadows, rounded cards and buttons, flat pastel colors, dotted cream background, simple cartoonish shapes, and a fun sticker-like web interface aesthetic.","sourceHandle":"lamp","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550565211616968727","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T17:52:34.558000+00:00","origins":["community"]},{"id":"submission:discord-1550564819894272103","title":"Jev plays Mario !","category":"Work","prompt":null,"description":"Jev plays Mario ! https://x.com/rherton/status/2101005942913729001?s=20\n\nLinked projects:\n• Post by @rherton — the obligatory AI plays Mario, Jev version Jev is TypeSafe's System One model. u send it state and a typed question, it sends back a choice with probabilities. so every move here is one question: run, hop, jump, wait or  (x.com/rherton/status/2101005942913729001)\n• Post by @rherton — the obligatory AI plays Mario, Jev version Jev is TypeSafe's System One model. u send it state and a typed question, it sends back a choice with probabilities. so every move here is one question: run, hop, jump, wait or  (twitter.com/rherton/status/2101005942913729001)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550564819894272103","story":"Jev plays Mario ! https://x.com/rherton/status/2101005942913729001?s=20\n\nLinked projects:\n• Post by @rherton — the obligatory AI plays Mario, Jev version Jev is TypeSafe's System One model. u send it state and a typed question, it sends back a choice with probabilities. so every move here is one question: run, hop, jump, wait or  (x.com/rherton/status/2101005942913729001)\n• Post by @rherton — the obligatory AI plays Mario, Jev version Jev is TypeSafe's System One model. u send it state and a typed question, it sends back a choice with probabilities. so every move here is one question: run, hop, jump, wait or  (twitter.com/rherton/status/2101005942913729001)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550564819894272103","sourceHandle":"Zac","sourceUrl":"https://x.com/rherton/status/2101005942913729001?s=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T17:51:01.164000+00:00","origins":["community"]},{"id":"submission:discord-1550562000604504106","title":"Umm, will gather better data when my OpenAI token budget resets tomorrow, had to tinker a bit.","category":"Money","prompt":null,"description":"Umm, will gather better data when my OpenAI token budget resets tomorrow, had to tinker a bit. Framework is basically https://github.com/Question86/Werkfaden plus 2 more scripts that iterate the LLMs patch attempt as atomic claims to Jev and bring back the nouls as a list for the LLM to get feedback on the various breakdowns so it sees its own hallucinations.\n\nLinked projects:\n• Question86/Werkfaden — Project context and controlled changes for AI coding agents. Keep the thread. Verify the change. - Question86/Werkfaden (github.com/Question86/Werkfaden)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550562000604504106","story":"Umm, will gather better data when my OpenAI token budget resets tomorrow, had to tinker a bit. Framework is basically https://github.com/Question86/Werkfaden plus 2 more scripts that iterate the LLMs patch attempt as atomic claims to Jev and bring back the nouls as a list for the LLM to get feedback on the various breakdowns so it sees its own hallucinations.\n\nLinked projects:\n• Question86/Werkfaden — Project context and controlled changes for AI coding agents. Keep the thread. Verify the change. - Question86/Werkfaden (github.com/Question86/Werkfaden)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550562000604504106","sourceHandle":"Q86","sourceUrl":"https://github.com/Question86/Werkfaden","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T17:39:48.993000+00:00","origins":["community"]},{"id":"submission:discord-1550561834149486652","title":"Clinirise was my opensource project where I used jev for decisions with main llm -where I had used llm powered","category":"Health","prompt":null,"description":"Clinirise was my opensource project where I used jev for decisions with main llm -where I had used llm powered whatsapp automation crm solution for clinics like an AI booking and customer service setup https://gen-lang-client-0155046437.web.app/\n\nProfile -https://satyabhan007.github.io\n\nLinkedIn -\nhttps://www.linkedin.com/in/satyabhan-bhadoriya-777b28239?utm_source=share_via&utm_content=profile&utm_medium=member_android\n\nLinked projects:\n• CLINIRISE - AI-Powered Clinic Operations (gen-lang-client-0155046437.web.app)\n• Satyabhan Bhadoriya — Systems, AI/ML & Cloud Engineer — 8+ years bridging industrial automation, Linux infrastructure, and AI/ML engineering. Building production-depth curricula across AI/ML, Cloud & DevOps, and Security. (satyabhan007.github.io)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550561834149486652","story":"Clinirise was my opensource project where I used jev for decisions with main llm -where I had used llm powered whatsapp automation crm solution for clinics like an AI booking and customer service setup https://gen-lang-client-0155046437.web.app/\n\nProfile -https://satyabhan007.github.io\n\nLinkedIn -\nhttps://www.linkedin.com/in/satyabhan-bhadoriya-777b28239?utm_source=share_via&utm_content=profile&utm_medium=member_android\n\nLinked projects:\n• CLINIRISE - AI-Powered Clinic Operations (gen-lang-client-0155046437.web.app)\n• Satyabhan Bhadoriya — Systems, AI/ML & Cloud Engineer — 8+ years bridging industrial automation, Linux infrastructure, and AI/ML engineering. Building production-depth curricula across AI/ML, Cloud & DevOps, and Security. (satyabhan007.github.io)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550561834149486652","sourceHandle":"satya","sourceUrl":"https://gen-lang-client-0155046437.web.app/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T17:39:09.307000+00:00","origins":["community"]},{"id":"submission:discord-1550561788184240218","title":"i just added a gui to this","category":"Integrations","prompt":null,"description":"i just added a gui to this https://github.com/newuser7171/antivirus\n\nLinked projects:\n• newuser7171/antivirus — Contribute to newuser7171/antivirus development by creating an account on GitHub. (github.com/newuser7171/antivirus)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550561788184240218","story":"i just added a gui to this https://github.com/newuser7171/antivirus\n\nLinked projects:\n• newuser7171/antivirus — Contribute to newuser7171/antivirus development by creating an account on GitHub. (github.com/newuser7171/antivirus)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550561788184240218","sourceHandle":"Newuser","sourceUrl":"https://github.com/newuser7171/antivirus","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T17:38:58.348000+00:00","origins":["community"]},{"id":"submission:discord-1550560835838017666","title":"hey guys was cooking this cli in rust to substitue my old gate checks, you can run in watch mode, so during dev is","category":"Food","prompt":null,"description":"https://github.com/Tech-Byte-Frontier/jevgate \n\nhey guys was cooking this cli in rust to substitue my old gate checks, you can run in watch mode, so during dev is very fast for jev to identify these 3 classifications: \n\nFile organization: would separating unrelated responsibilities help?\nFunction simplification: is there a useful task to extract or control flow to simplify?\nShared logic: should repeated implementations share a helper?\n\nits already on crates.io try it in your codebase is very fast i would love feedbacks\n\nLinked projects:\n• Tech-Byte-Frontier/jevgate — File-scoped maintainability review with TypeSafe Jev - Tech-Byte-Frontier/jevgate (github.com/Tech-Byte-Frontier/jevgate)\n• image.png — image/png · 54 KB (cdn.discordapp.com/attachments/1483217545040232493/1550560835368259794)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550560835838017666","story":"https://github.com/Tech-Byte-Frontier/jevgate \n\nhey guys was cooking this cli in rust to substitue my old gate checks, you can run in watch mode, so during dev is very fast for jev to identify these 3 classifications: \n\nFile organization: would separating unrelated responsibilities help?\nFunction simplification: is there a useful task to extract or control flow to simplify?\nShared logic: should repeated implementations share a helper?\n\nits already on crates.io try it in your codebase is very fast i would love feedbacks\n\nLinked projects:\n• Tech-Byte-Frontier/jevgate — File-scoped maintainability review with TypeSafe Jev - Tech-Byte-Frontier/jevgate (github.com/Tech-Byte-Frontier/jevgate)\n• image.png — image/png · 54 KB (cdn.discordapp.com/attachments/1483217545040232493/1550560835368259794)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550560835838017666","sourceHandle":"Binatof","sourceUrl":"https://github.com/Tech-Byte-Frontier/jevgate","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T17:35:11.291000+00:00","origins":["community"]},{"id":"submission:discord-1550559790860738670","title":"Jev: The Definitive Guide to System One AI in TypeScript","category":"Work","prompt":null,"description":"http://tiny.cc/Jev\nJev: The Definitive Guide to System One AI in TypeScript\n\nLinked projects:\n• Jev: The Definitive Guide to System One AI in TypeScript (tiny.cc/Jev)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550559790860738670","story":"http://tiny.cc/Jev\nJev: The Definitive Guide to System One AI in TypeScript\n\nLinked projects:\n• Jev: The Definitive Guide to System One AI in TypeScript (tiny.cc/Jev)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550559790860738670","sourceHandle":"Tronix","sourceUrl":"http://tiny.cc/Jev","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T17:31:02.149000+00:00","origins":["community"]},{"id":"submission:discord-1550559595905163384","title":"Sniff Test: a prose linter where Jev is the judge.","category":"Admin","prompt":null,"description":"Sniff Test: a prose linter where Jev is the judge. It reads a draft one paragraph at a time and asks ten Boolean questions (is the claim hedged three times, does the closer restate the paragraph, is there a cost figure with no price beside it) and prints one line per flag with the probability. Runs as a CLI, pre-commit hook, GitHub Action and Claude Code skill. Measured on 17 Sept: 182 ms median, 63 of 80 planted faults caught, 1 of 54 clean paragraphs flagged, $0.013 per 100 paragraphs. Same questions on Haiku 4.5 flagged 37 of 54 clean. Full bench and raw replies in the repo. One thing I'd love a TypeSafe eye on: in the bench's own rotation Jev returned a reply with one rule missing on 13 of 166 paragraphs, and the eval path never did. Written up in docs/eval-notes.md.\n\nhttps://github.com/DanRWilloughby/snifftest\n\nLinked projects:\n• DanRWilloughby/snifftest — A prose linter that sniffs out AI writing tells. Zero dependencies, countable rules plus one judgment model. - DanRWilloughby/snifftest (github.com/DanRWilloughby/snifftest)\n• demo-reel-snifftest-sniff-measured-F.mp4 — video/mp4 · 7 MB (cdn.discordapp.com/attachments/1483217545040232493/1550559595133538425)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550559595905163384","story":"Sniff Test: a prose linter where Jev is the judge. It reads a draft one paragraph at a time and asks ten Boolean questions (is the claim hedged three times, does the closer restate the paragraph, is there a cost figure with no price beside it) and prints one line per flag with the probability. Runs as a CLI, pre-commit hook, GitHub Action and Claude Code skill. Measured on 17 Sept: 182 ms median, 63 of 80 planted faults caught, 1 of 54 clean paragraphs flagged, $0.013 per 100 paragraphs. Same questions on Haiku 4.5 flagged 37 of 54 clean. Full bench and raw replies in the repo. One thing I'd love a TypeSafe eye on: in the bench's own rotation Jev returned a reply with one rule missing on 13 of 166 paragraphs, and the eval path never did. Written up in docs/eval-notes.md.\n\nhttps://github.com/DanRWilloughby/snifftest\n\nLinked projects:\n• DanRWilloughby/snifftest — A prose linter that sniffs out AI writing tells. Zero dependencies, countable rules plus one judgment model. - DanRWilloughby/snifftest (github.com/DanRWilloughby/snifftest)\n• demo-reel-snifftest-sniff-measured-F.mp4 — video/mp4 · 7 MB (cdn.discordapp.com/attachments/1483217545040232493/1550559595133538425)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550559595905163384","sourceHandle":"DanRWilloughby","sourceUrl":"https://github.com/DanRWilloughby/snifftest","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T17:30:15.668000+00:00","origins":["community"]},{"id":"submission:discord-1550558292621926532","title":"I tried to create a latent context layer that is a warmed up version of a small LDA Topic model that is injectable","category":"Home","prompt":null,"description":"I tried to create a latent context layer that is a warmed up version of a small LDA Topic model that is injectable into the context window via memories or system prompts. Ideally, this enhances the human to AI interaction. The mission statement follow's David Shapiro's early template instruction flow and aims to encapsulate the generality of intelligent systems. It is missing its current development related to Omega \"opposite toggling\" designed to induce confusion and boolean toggles in a context and Yann's JEPA relationships. I'm not sure about the pdfs developed to describe the GSL-Jepa-Omega project, but I thought I'd atleast share the GSL prototype from a few years ago as I think Jev could thrive with a latent context layer like this prewarmed.","story":"I tried to create a latent context layer that is a warmed up version of a small LDA Topic model that is injectable into the context window via memories or system prompts. Ideally, this enhances the human to AI interaction. The mission statement follow's David Shapiro's early template instruction flow and aims to encapsulate the generality of intelligent systems. It is missing its current development related to Omega \"opposite toggling\" designed to induce confusion and boolean toggles in a context and Yann's JEPA relationships. I'm not sure about the pdfs developed to describe the GSL-Jepa-Omega project, but I thought I'd atleast share the GSL prototype from a few years ago as I think Jev could thrive with a latent context layer like this prewarmed.","sourceHandle":"GarysGameDev","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550558292621926532","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T17:25:04.941000+00:00","origins":["community"]},{"id":"submission:discord-1550558107086884955","title":"γ: Memory χ: Choice Δ: Change φ: Emotional Focus λ: Logic ∑: Exception Handling κ: Correctness or Resolution η:","category":"Admin","prompt":null,"description":"γ: Memory\nχ: Choice\nΔ: Change\nφ: Emotional Focus\nλ: Logic\n∑: Exception Handling\nκ: Correctness or Resolution\nη: Minimize\nμ: Magnify\nρ: Reverse\nξ: Modify\nσ: Rearrange\nΘ: Orthogonality\nβ: Benevolent Direction\nψ: Cruelty\nπ: Ethical Programming Practices\nδ: Decision-Making in AI\nτ: Human-Technology Interaction\nα: Programming Education and Ethics\n⊕: Rule of Choice\nι: Id\nε: Ego\nσε: Superego\nλι: Libido\nρε: Repression\nς: Self\nδς: Shadow\nαα: Anima/Animus\nζ: Collective Unconscious\nξα: Archetypes\nφg: Figure-Ground\nχc: Closure\nπρ: Proximity\nκτ: Continuity\nσι: Similarity\nᛝ: Temporal States (Time)\n¿: Question\n≜: Answer\nᛇ: Transformation\nϕ: Focus","story":"γ: Memory\nχ: Choice\nΔ: Change\nφ: Emotional Focus\nλ: Logic\n∑: Exception Handling\nκ: Correctness or Resolution\nη: Minimize\nμ: Magnify\nρ: Reverse\nξ: Modify\nσ: Rearrange\nΘ: Orthogonality\nβ: Benevolent Direction\nψ: Cruelty\nπ: Ethical Programming Practices\nδ: Decision-Making in AI\nτ: Human-Technology Interaction\nα: Programming Education and Ethics\n⊕: Rule of Choice\nι: Id\nε: Ego\nσε: Superego\nλι: Libido\nρε: Repression\nς: Self\nδς: Shadow\nαα: Anima/Animus\nζ: Collective Unconscious\nξα: Archetypes\nφg: Figure-Ground\nχc: Closure\nπρ: Proximity\nκτ: Continuity\nσι: Similarity\nᛝ: Temporal States (Time)\n¿: Question\n≜: Answer\nᛇ: Transformation\nϕ: Focus","sourceHandle":"GarysGameDev","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550558107086884955","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T17:24:20.706000+00:00","origins":["community"]},{"id":"submission:discord-1550558011531993268","title":"Shared by GarysGameDev: GBear9551 GSLPrototypeProgram blob master main py","category":"Integrations","prompt":null,"description":"https://github.com/GBear9551/GSLPrototypeProgram/blob/master/main.py\n\nLinked projects:\n• GBear9551/GSLPrototypeProgram — General Symbol Language used to develop prompts based on rip-raptor and powered by \"THIS!\", used to help beginner prompt engineers. - GBear9551/GSLPrototypeProgram (github.com/GBear9551/GSLPrototypeProgram/blob/master/main.py)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550558011531993268","story":"https://github.com/GBear9551/GSLPrototypeProgram/blob/master/main.py\n\nLinked projects:\n• GBear9551/GSLPrototypeProgram — General Symbol Language used to develop prompts based on rip-raptor and powered by \"THIS!\", used to help beginner prompt engineers. - GBear9551/GSLPrototypeProgram (github.com/GBear9551/GSLPrototypeProgram/blob/master/main.py)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550558011531993268","sourceHandle":"GarysGameDev","sourceUrl":"https://github.com/GBear9551/GSLPrototypeProgram/blob/master/main.py","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T17:23:57.924000+00:00","origins":["community"]},{"id":"submission:discord-1550557289579282493","title":"I built a single shot AI page builder using Jev, Describe a website, and Jev will build it in less than a half second.","category":"Work","prompt":null,"description":"I built a single shot AI page builder using Jev,\nDescribe a website, and Jev will build it in less than a half second. \nExportable as a standalone page\n:anime_glasses:\n\nLinked projects:\n• Page_Builder.mp4 — video/mp4 · 15 MB (cdn.discordapp.com/attachments/1483217545040232493/1550557288413270108)","story":"I built a single shot AI page builder using Jev,\nDescribe a website, and Jev will build it in less than a half second. \nExportable as a standalone page\n:anime_glasses:\n\nLinked projects:\n• Page_Builder.mp4 — video/mp4 · 15 MB (cdn.discordapp.com/attachments/1483217545040232493/1550557288413270108)","sourceHandle":"Nasr","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550557289579282493","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T17:21:05.797000+00:00","origins":["community"]},{"id":"submission:discord-1550557025451114566","title":"I made this! 😉 AskJev: reverse Akinator on Jev. Jev holds a daily person/character; you get 20 yes/no","category":"Admin","prompt":null,"description":"I made this! 😉 \n\nAskJev: reverse Akinator on Jev. Jev holds a daily person/character; you get 20 yes/no (Noul) questions.\nhttps://askjev.app\nThanks to the TypeSafe team for Jev, early access, and the docs!\n\nLinked projects:\n• AskJev — Reverse Akinator powered by Jev — Ask yes/no questions and figure out today's secret character. A new answer every day. An unofficial demo of TypeSafe AI's Jev model. (askjev.app)\n• image0.png — image/png · 281 KB (cdn.discordapp.com/attachments/1483217545040232493/1550557025077825627)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550557025451114566","story":"I made this! 😉 \n\nAskJev: reverse Akinator on Jev. Jev holds a daily person/character; you get 20 yes/no (Noul) questions.\nhttps://askjev.app\nThanks to the TypeSafe team for Jev, early access, and the docs!\n\nLinked projects:\n• AskJev — Reverse Akinator powered by Jev — Ask yes/no questions and figure out today's secret character. A new answer every day. An unofficial demo of TypeSafe AI's Jev model. (askjev.app)\n• image0.png — image/png · 281 KB (cdn.discordapp.com/attachments/1483217545040232493/1550557025077825627)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550557025451114566","sourceHandle":"odiak","sourceUrl":"https://askjev.app","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T17:20:02.824000+00:00","origins":["community"]},{"id":"submission:discord-1550555547995209728","title":"Hi everyone, I just wrote up a small experiment testing TypeSafe’s Jev as a trusted and cheaper monitor alternate for","category":"Money","prompt":null,"description":"Hi everyone, I just wrote up a small experiment testing TypeSafe’s Jev as a trusted and cheaper monitor alternate for AI Control.\n\nThe interesting bit: a single yes/no question gets ~0.97 AUROC and catches ~90% of backdoors at a 2% audit budget, at a tiny fraction of the cost of an LLM monitor. But if the attacker can generate and score multiple backdoor variants, the picture changes pretty substantially.\n\nLessWrong: https://www.lesswrong.com/posts/d7pQicW8EhpPBDRqz/a-non-generative-model-as-a-trusted-monitor-for-ai-control\nX: https://x.com/exploding_grad/status/2100983340602179953\n\nLinked projects:\n• Post by @exploding_grad — Trusted monitoring is the backbone of AI Control. LLMs as a monitor have been fairly accurate, but are quite expensive and inconsistent. When @typesafeai released Jev, I spent $1.09 dollars and ~15 hours analyzing it - a (x.com/exploding_grad/status/2100983340602179953)\n• Post by @exploding_grad — Trusted monitoring is the backbone of AI Control. LLMs as a monitor have been fairly accurate, but are quite expensive and inconsistent. When @typesafeai released Jev, I spent $1.09 dollars and ~15 hours analyzing it - a (twitter.com/exploding_grad/status/2100983340602179953)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550555547995209728","story":"Hi everyone, I just wrote up a small experiment testing TypeSafe’s Jev as a trusted and cheaper monitor alternate for AI Control.\n\nThe interesting bit: a single yes/no question gets ~0.97 AUROC and catches ~90% of backdoors at a 2% audit budget, at a tiny fraction of the cost of an LLM monitor. But if the attacker can generate and score multiple backdoor variants, the picture changes pretty substantially.\n\nLessWrong: https://www.lesswrong.com/posts/d7pQicW8EhpPBDRqz/a-non-generative-model-as-a-trusted-monitor-for-ai-control\nX: https://x.com/exploding_grad/status/2100983340602179953\n\nLinked projects:\n• Post by @exploding_grad — Trusted monitoring is the backbone of AI Control. LLMs as a monitor have been fairly accurate, but are quite expensive and inconsistent. When @typesafeai released Jev, I spent $1.09 dollars and ~15 hours analyzing it - a (x.com/exploding_grad/status/2100983340602179953)\n• Post by @exploding_grad — Trusted monitoring is the backbone of AI Control. LLMs as a monitor have been fairly accurate, but are quite expensive and inconsistent. When @typesafeai released Jev, I spent $1.09 dollars and ~15 hours analyzing it - a (twitter.com/exploding_grad/status/2100983340602179953)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550555547995209728","sourceHandle":"venkat","sourceUrl":"https://x.com/exploding_grad/status/2100983340602179953","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T17:14:10.571000+00:00","origins":["community"]},{"id":"submission:discord-1550554380292464740","title":"Jev-powered trading bot.","category":"Admin","prompt":null,"description":"Jev-powered trading bot.\n\nIt actually connects to an actual trading account running on cTrader platform.\nStill a work in progress and definitely needs to be forward-tested.\n\nI'm gonna leave this bot running for the next few days and only adjust when needed.\n\nLinked projects:\n• image.png — image/png · 214 KB (cdn.discordapp.com/attachments/1483217545040232493/1550554379319517284)\n• image.png — image/png · 91 KB (cdn.discordapp.com/attachments/1483217545040232493/1550554379810242670)","story":"Jev-powered trading bot.\n\nIt actually connects to an actual trading account running on cTrader platform.\nStill a work in progress and definitely needs to be forward-tested.\n\nI'm gonna leave this bot running for the next few days and only adjust when needed.\n\nLinked projects:\n• image.png — image/png · 214 KB (cdn.discordapp.com/attachments/1483217545040232493/1550554379319517284)\n• image.png — image/png · 91 KB (cdn.discordapp.com/attachments/1483217545040232493/1550554379810242670)","sourceHandle":"Celengan Babi","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550554380292464740","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T17:09:32.169000+00:00","origins":["community"]},{"id":"submission:discord-1550554036389027841","title":"Yeah it's a joke/parody site so it's kind of intentionally poor/old looking but since I looked up the original logo,","category":"Work","prompt":null,"description":"Yeah it's a joke/parody site so it's kind of intentionally poor/old looking but since I looked up the original logo, and it's sans-serif as well, I figured I should change it. \nhttps://askjevves.com/?v=20\n\nLinked projects:\n• Ask Jevves — Have a question? Ask Jevves. The butler who knows best, now powered by a frontier decision model. (askjevves.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550554036389027841","story":"Yeah it's a joke/parody site so it's kind of intentionally poor/old looking but since I looked up the original logo, and it's sans-serif as well, I figured I should change it. \nhttps://askjevves.com/?v=20\n\nLinked projects:\n• Ask Jevves — Have a question? Ask Jevves. The butler who knows best, now powered by a frontier decision model. (askjevves.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550554036389027841","sourceHandle":"rei","sourceUrl":"https://askjevves.com/?v=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T17:08:10.176000+00:00","origins":["community"]},{"id":"submission:discord-1550553872433676409","title":"built this","category":"Work","prompt":null,"description":"built this https://x.com/nathanwchan/status/2100994031316766765?s=20\n\nLinked projects:\n• Post by @nathanwchan — The perfect Jev use case you've all been waiting for!!! It's all in your hands now @thsottiaux https://will-tibo-reset.vercel.app/ (x.com/nathanwchan/status/2100994031316766765)\n• Post by @nathanwchan — The perfect Jev use case you've all been waiting for!!! It's all in your hands now @thsottiaux https://will-tibo-reset.vercel.app/ (twitter.com/nathanwchan/status/2100994031316766765)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550553872433676409","story":"built this https://x.com/nathanwchan/status/2100994031316766765?s=20\n\nLinked projects:\n• Post by @nathanwchan — The perfect Jev use case you've all been waiting for!!! It's all in your hands now @thsottiaux https://will-tibo-reset.vercel.app/ (x.com/nathanwchan/status/2100994031316766765)\n• Post by @nathanwchan — The perfect Jev use case you've all been waiting for!!! It's all in your hands now @thsottiaux https://will-tibo-reset.vercel.app/ (twitter.com/nathanwchan/status/2100994031316766765)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550553872433676409","sourceHandle":"nate","sourceUrl":"https://x.com/nathanwchan/status/2100994031316766765?s=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T17:07:31.086000+00:00","origins":["community"]},{"id":"submission:discord-1550553704770310227","title":"> DeepSeek (prod) Jev > 4-way accuracy 83.7% 80.6% > signal-vs-noise 85.7% 83.7% > recall on \"problem\" 86.0% 93.0% ← >","category":"Money","prompt":null,"description":">                        DeepSeek (prod)    Jev\n> 4-way accuracy              83.7%         80.6%\n> signal-vs-noise               85.7%         83.7%\n> recall on \"problem\"       86.0%         93.0%  ← \n> noise precision                91.8%        100.0%  ← \n> avg latency                      932ms         307ms\n> tokens / item                    2,610          843\n> agreement between them                  84.8%\n> Same accuracy ballpark. 3x faster, 3x cheaper. But the interesting part is the error patterns are complementary:\n> 🔸 Jev almost never loses a real problem (93% recall). Where our cheap classifier says \"noise 0.85, discard forever,\" Jev often finds the buried complaint — like the Trustpilot review that's 90% praise with one real grievance inside. That's the exact failure mode that hurts a product team most.\n> 🔸 When Jev says \"noise,\" it's right (100% precision) — it just doesn't say it often enough to be the sole filter.\n> So we're not replacing anything. We're wiring Jev as a second-opinion gate: every time the cheap classifier votes \"noise,\" Jev gets a look. If it disagr","story":">                        DeepSeek (prod)    Jev\n> 4-way accuracy              83.7%         80.6%\n> signal-vs-noise               85.7%         83.7%\n> recall on \"problem\"       86.0%         93.0%  ← \n> noise precision                91.8%        100.0%  ← \n> avg latency                      932ms         307ms\n> tokens / item                    2,610          843\n> agreement between them                  84.8%\n> Same accuracy ballpark. 3x faster, 3x cheaper. But the interesting part is the error patterns are complementary:\n> 🔸 Jev almost never loses a real problem (93% recall). Where our cheap classifier says \"noise 0.85, discard forever,\" Jev often finds the buried complaint — like the Trustpilot review that's 90% praise with one real grievance inside. That's the exact failure mode that hurts a product team most.\n> 🔸 When Jev says \"noise,\" it's right (100% precision) — it just doesn't say it often enough to be the sole filter.\n> So we're not replacing anything. We're wiring Jev as a second-opinion gate: every time the cheap classifier votes \"noise,\" Jev gets a look. If it disagr","sourceHandle":"Brian Ochoa","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550553704770310227","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T17:06:51.112000+00:00","origins":["community"]},{"id":"submission:discord-1550553630594170900","title":"> We benchmarked TypeSafe's Jev against our production LLM classifier — with real customer data and human ground truth.","category":"Food","prompt":null,"description":"> We benchmarked TypeSafe's Jev against our production LLM classifier — with real customer data and human ground truth. Here's what happened. 🧵\n> \n> Hey! I'm Brian, building Atisbo — a product intelligence platform that turns raw customer feedback (support chats, reviews, social, calls) into a ranked list of what to build next. Evidence comes in, clusters into problems, gets scored, and PMs decide from there. We dogfood it on ourselves daily.\n> https://www.atisbo.dev\n> \n> Every piece of feedback entering Atisbo gets classified (problem / idea / question / noise) by a generative LLM. \n> High-confidence noise gets auto-filtered; the rest goes to human triage. \n> That classification decision is load-bearing: a false \"noise\" silently deletes a real customer pain from the roadmap.\n> So when I found TypeSafe, the question wasn't \"is this cool\" — it was \"can a System One model beat or complement our production pipeline on REAL data?\"\n> \n>\n\nLinked projects:\n• Atisbo — Product evidence and decisions for teams and agents — Connected evidence, investigations, decisions and solutions for agents doing product work and teammates who need context. (atisbo.dev)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550553630594170900","story":"> We benchmarked TypeSafe's Jev against our production LLM classifier — with real customer data and human ground truth. Here's what happened. 🧵\n> \n> Hey! I'm Brian, building Atisbo — a product intelligence platform that turns raw customer feedback (support chats, reviews, social, calls) into a ranked list of what to build next. Evidence comes in, clusters into problems, gets scored, and PMs decide from there. We dogfood it on ourselves daily.\n> https://www.atisbo.dev\n> \n> Every piece of feedback entering Atisbo gets classified (problem / idea / question / noise) by a generative LLM. \n> High-confidence noise gets auto-filtered; the rest goes to human triage. \n> That classification decision is load-bearing: a false \"noise\" silently deletes a real customer pain from the roadmap.\n> So when I found TypeSafe, the question wasn't \"is this cool\" — it was \"can a System One model beat or complement our production pipeline on REAL data?\"\n> \n>\n\nLinked projects:\n• Atisbo — Product evidence and decisions for teams and agents — Connected evidence, investigations, decisions and solutions for agents doing product work and teammates who need context. (atisbo.dev)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550553630594170900","sourceHandle":"Brian Ochoa","sourceUrl":"https://www.atisbo.dev","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T17:06:33.427000+00:00","origins":["community"]},{"id":"submission:discord-1550551489326616647","title":"I'm really loving it for these real-time voice use cases","category":"Work","prompt":null,"description":"I'm really loving it for these real-time voice use cases https://x.com/zain_hoda/status/2100992526417031678?s=20\n\nLinked projects:\n• Post by @zain_hoda — Drive-thru ordering at Big Kahuna burger powered by @typesafeai Jev The model is really good/fast/cheap at Natural Language -> Menu -> Selection (x.com/zain_hoda/status/2100992526417031678)\n• Post by @zain_hoda — Drive-thru ordering at Big Kahuna burger powered by @typesafeai Jev The model is really good/fast/cheap at Natural Language -> Menu -> Selection (twitter.com/zain_hoda/status/2100992526417031678)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550551489326616647","story":"I'm really loving it for these real-time voice use cases https://x.com/zain_hoda/status/2100992526417031678?s=20\n\nLinked projects:\n• Post by @zain_hoda — Drive-thru ordering at Big Kahuna burger powered by @typesafeai Jev The model is really good/fast/cheap at Natural Language -> Menu -> Selection (x.com/zain_hoda/status/2100992526417031678)\n• Post by @zain_hoda — Drive-thru ordering at Big Kahuna burger powered by @typesafeai Jev The model is really good/fast/cheap at Natural Language -> Menu -> Selection (twitter.com/zain_hoda/status/2100992526417031678)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550551489326616647","sourceHandle":"Zain","sourceUrl":"https://x.com/zain_hoda/status/2100992526417031678?s=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T16:58:02.909000+00:00","origins":["community"]},{"id":"submission:discord-1550550967143891046","title":"Jev as a terminal guardrail.","category":"Work","prompt":null,"description":"https://jevguard.vercel.app/\n\nJev as a terminal guardrail. You can bypass it? \nThen customize your own Jev and bypass it again!\n\nLinked projects:\n• JevGuard — A CTF: TypeSafe AI's Jev vets every shell command before it runs in an isolated sandbox. Beat the vetter, read the flag. (jevguard.vercel.app)\n• image.png — image/png · 342 KB (cdn.discordapp.com/attachments/1483217545040232493/1550550964631502879)\n• image.png — image/png · 312 KB (cdn.discordapp.com/attachments/1483217545040232493/1550550966372143184)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550550967143891046","story":"https://jevguard.vercel.app/\n\nJev as a terminal guardrail. You can bypass it? \nThen customize your own Jev and bypass it again!\n\nLinked projects:\n• JevGuard — A CTF: TypeSafe AI's Jev vets every shell command before it runs in an isolated sandbox. Beat the vetter, read the flag. (jevguard.vercel.app)\n• image.png — image/png · 342 KB (cdn.discordapp.com/attachments/1483217545040232493/1550550964631502879)\n• image.png — image/png · 312 KB (cdn.discordapp.com/attachments/1483217545040232493/1550550966372143184)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550550967143891046","sourceHandle":"lamp","sourceUrl":"https://jevguard.vercel.app/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T16:55:58.411000+00:00","origins":["community"]},{"id":"submission:discord-1550550868808564736","title":"Poker is fine, but Jev is lost in mazes ...","category":"Work","prompt":null,"description":"Poker is fine, but Jev is lost in mazes ...\nhttps://x.com/danmana/status/2100991925364969827\n\nLinked projects:\n• Post by @danmana — My Jev maze solving experiments are not going well Poor guy is more lost than the guy from Memento without his tattoos and polaroids 🙈 (x.com/danmana/status/2100991925364969827)\n• Post by @danmana — My Jev maze solving experiments are not going well Poor guy is more lost than the guy from Memento without his tattoos and polaroids 🙈 (twitter.com/danmana/status/2100991925364969827)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550550868808564736","story":"Poker is fine, but Jev is lost in mazes ...\nhttps://x.com/danmana/status/2100991925364969827\n\nLinked projects:\n• Post by @danmana — My Jev maze solving experiments are not going well Poor guy is more lost than the guy from Memento without his tattoos and polaroids 🙈 (x.com/danmana/status/2100991925364969827)\n• Post by @danmana — My Jev maze solving experiments are not going well Poor guy is more lost than the guy from Memento without his tattoos and polaroids 🙈 (twitter.com/danmana/status/2100991925364969827)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550550868808564736","sourceHandle":"danmana","sourceUrl":"https://x.com/danmana/status/2100991925364969827","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T16:55:34.966000+00:00","origins":["community"]},{"id":"submission:discord-1550550216761942096","title":"I've been working for a while on a mobile-first persistent agent harness where 90% of it is about classification of","category":"Food","prompt":null,"description":"I've been working for a while on a mobile-first persistent agent harness where 90% of it is about classification of task and routing to the appropriate shortcut (apple)/ intent (android) I think a tool like Jev would be perfect for this. Is there anybody I can send cookies to, beg, or plead with to get included in the access? Upstream = https://github.com/GreyssonEnterprises/munin , opinionated commercial downtream product (https://heysolvi.com/ - Apologies for the default AI slop Tailwind theme. We're focused more on getting the product functional than the marketing side at the moment )\n\nLinked projects:\n• GreyssonEnterprises/munin — The open-source mobile AI agent runtime. Build voice-enabled AI assistants that run natively on phones — with tools, memory, and extensibility. - GreyssonEnterprises/munin (github.com/GreyssonEnterprises/munin)\n• Solvi — A More Practical Way to Use Your Phone — Stop switching between six apps. Solvi connects your calendar, camera, contacts, reminders, and location through a single conversation. Your phone already has superpowers — Solvi is the brain. (heysolvi.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550550216761942096","story":"I've been working for a while on a mobile-first persistent agent harness where 90% of it is about classification of task and routing to the appropriate shortcut (apple)/ intent (android) I think a tool like Jev would be perfect for this. Is there anybody I can send cookies to, beg, or plead with to get included in the access? Upstream = https://github.com/GreyssonEnterprises/munin , opinionated commercial downtream product (https://heysolvi.com/ - Apologies for the default AI slop Tailwind theme. We're focused more on getting the product functional than the marketing side at the moment )\n\nLinked projects:\n• GreyssonEnterprises/munin — The open-source mobile AI agent runtime. Build voice-enabled AI assistants that run natively on phones — with tools, memory, and extensibility. - GreyssonEnterprises/munin (github.com/GreyssonEnterprises/munin)\n• Solvi — A More Practical Way to Use Your Phone — Stop switching between six apps. Solvi connects your calendar, camera, contacts, reminders, and location through a single conversation. Your phone already has superpowers — Solvi is the brain. (heysolvi.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550550216761942096","sourceHandle":"Grimm","sourceUrl":"https://github.com/GreyssonEnterprises/munin","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T16:52:59.506000+00:00","origins":["community"]},{"id":"submission:discord-1550548854321979405","title":"Built a tool for analyzing and optimizing AI usage, it finds potential wasted tokens/money and gives you actionable","category":"Money","prompt":null,"description":"Built a tool for analyzing and optimizing AI usage, it finds potential wasted tokens/money and gives you actionable ways to fully improve your usage.\n\nIt runs entirely locally.\n\nFeel free to try it:\nnpm i -g optimaizr\n\nWeb: https://optimaizr.com\n\nLinked projects:\n• Find where your LLM spend is wasted, then verify and apply the savings. — The primary number is potential savings, not token count. Findings ranked by money, each with its arithmetic, each verified on your own traffic. (optimaizr.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550548854321979405","story":"Built a tool for analyzing and optimizing AI usage, it finds potential wasted tokens/money and gives you actionable ways to fully improve your usage.\n\nIt runs entirely locally.\n\nFeel free to try it:\nnpm i -g optimaizr\n\nWeb: https://optimaizr.com\n\nLinked projects:\n• Find where your LLM spend is wasted, then verify and apply the savings. — The primary number is potential savings, not token count. Findings ranked by money, each with its arithmetic, each verified on your own traffic. (optimaizr.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550548854321979405","sourceHandle":"stich","sourceUrl":"https://optimaizr.com","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T16:47:34.675000+00:00","origins":["community"]},{"id":"submission:discord-1550548220231286885","title":"can it solve the zebra puzzle?","category":"Work","prompt":null,"description":"can it solve the zebra puzzle? https://en.wikipedia.org/wiki/Zebra_Puzzle\n\nLinked projects:\n• Zebra Puzzle - Wikipedia (en.wikipedia.org/wiki/Zebra_Puzzle)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550548220231286885","story":"can it solve the zebra puzzle? https://en.wikipedia.org/wiki/Zebra_Puzzle\n\nLinked projects:\n• Zebra Puzzle - Wikipedia (en.wikipedia.org/wiki/Zebra_Puzzle)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550548220231286885","sourceHandle":"empath75","sourceUrl":"https://en.wikipedia.org/wiki/Zebra_Puzzle","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T16:45:03.496000+00:00","origins":["community"]},{"id":"submission:discord-1550547181180555334","title":"I've got Jev playing 9 classic arcade games simultaneously with a single API call for under $2 / h","category":"Fun","prompt":null,"description":"I've got Jev playing 9 classic arcade games simultaneously with a single API call for under $2 / h\nhttps://jev-arena.vercel.app/\n\nLinked projects:\n• Jev Wall (jev-arena.vercel.app)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550547181180555334","story":"I've got Jev playing 9 classic arcade games simultaneously with a single API call for under $2 / h\nhttps://jev-arena.vercel.app/\n\nLinked projects:\n• Jev Wall (jev-arena.vercel.app)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550547181180555334","sourceHandle":"manub","sourceUrl":"https://jev-arena.vercel.app/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T16:40:55.767000+00:00","origins":["community"]},{"id":"submission:discord-1550545323456204880","title":"i made one last night hahah","category":"Integrations","prompt":null,"description":"i made one last night hahah https://willprout.github.io/magic-8-ball/\n\nLinked projects:\n• Magic-8-Jev · An instinct from Jev — Twenty opinionated answers. One quick-witted oracle. Ask Magic-8-Jev. (willprout.github.io/magic-8-ball)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550545323456204880","story":"i made one last night hahah https://willprout.github.io/magic-8-ball/\n\nLinked projects:\n• Magic-8-Jev · An instinct from Jev — Twenty opinionated answers. One quick-witted oracle. Ask Magic-8-Jev. (willprout.github.io/magic-8-ball)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550545323456204880","sourceHandle":"Parzival","sourceUrl":"https://willprout.github.io/magic-8-ball/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T16:33:32.851000+00:00","origins":["community"]},{"id":"submission:discord-1550544720386592929","title":"I built a logic interpreter on top of Jev.","category":"Work","prompt":null,"description":"I built a logic interpreter on top of Jev. It runs a Prolog-style language where the facts and rules are plain English, and Jev does the unification\n\nLinked projects:\n• CleanShot_2026-09-18_at_11.54.24.mp4 — video/mp4 · 5 MB (cdn.discordapp.com/attachments/1483217545040232493/1550544719774351410)","story":"I built a logic interpreter on top of Jev. It runs a Prolog-style language where the facts and rules are plain English, and Jev does the unification\n\nLinked projects:\n• CleanShot_2026-09-18_at_11.54.24.mp4 — video/mp4 · 5 MB (cdn.discordapp.com/attachments/1483217545040232493/1550544719774351410)","sourceHandle":"Shawn Simister","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550544720386592929","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T16:31:09.068000+00:00","origins":["community"]},{"id":"submission:discord-1550544655148392610","title":"Tested jev against deepseek v4.1 flash on norwegian text.","category":"Evaluation","prompt":null,"description":"Tested jev against deepseek v4.1 flash on norwegian text. Did pretty well, and was vert fast! https://lindfors.no/blog/a-first-look-at-typesafes-jev/\n\nLinked projects:\n• An early-access test of TypeSafe's Jev: calibrated judgments for half a cent — An early-access test of TypeSafe's Jev, a model that answers typed questions with probabilities and writes no text. I ran it on 24 Norwegian responses to the 2022 hearing on resource rent tax for salmon farming. Agreemen (lindfors.no/blog/a-first-look-at-typesafes-jev)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550544655148392610","story":"Tested jev against deepseek v4.1 flash on norwegian text. Did pretty well, and was vert fast! https://lindfors.no/blog/a-first-look-at-typesafes-jev/\n\nLinked projects:\n• An early-access test of TypeSafe's Jev: calibrated judgments for half a cent — An early-access test of TypeSafe's Jev, a model that answers typed questions with probabilities and writes no text. I ran it on 24 Norwegian responses to the 2022 hearing on resource rent tax for salmon farming. Agreemen (lindfors.no/blog/a-first-look-at-typesafes-jev)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550544655148392610","sourceHandle":"depurator","sourceUrl":"https://lindfors.no/blog/a-first-look-at-typesafes-jev/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T16:30:53.514000+00:00","origins":["community"]},{"id":"submission:discord-1550543897086660628","title":"Azdaja is a bare OSS RLM layer you can plug into Claude, Codex, OpenCode and others now with Jev, branches that only","category":"Integrations","prompt":null,"description":"Azdaja is a bare OSS RLM layer you can plug into Claude, Codex, OpenCode and others\n\nnow with Jev, branches that only need a judgment can return one directly, useful for reranking, verification, classification and semantic joins, cutting unnecessary model work\nhttps://github.com/kubet/azdaja\n\nLinked projects:\n• kubet/azdaja — Minimal harness-agnostic recursive language model layer — one binary, Python + llm() - kubet/azdaja (github.com/kubet/azdaja)\n• azdaja-jev.mp4 — video/mp4 · 7 MB (cdn.discordapp.com/attachments/1483217545040232493/1550543896600117401)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550543897086660628","story":"Azdaja is a bare OSS RLM layer you can plug into Claude, Codex, OpenCode and others\n\nnow with Jev, branches that only need a judgment can return one directly, useful for reranking, verification, classification and semantic joins, cutting unnecessary model work\nhttps://github.com/kubet/azdaja\n\nLinked projects:\n• kubet/azdaja — Minimal harness-agnostic recursive language model layer — one binary, Python + llm() - kubet/azdaja (github.com/kubet/azdaja)\n• azdaja-jev.mp4 — video/mp4 · 7 MB (cdn.discordapp.com/attachments/1483217545040232493/1550543896600117401)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550543897086660628","sourceHandle":"0х88","sourceUrl":"https://github.com/kubet/azdaja","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T16:27:52.778000+00:00","origins":["community"]},{"id":"submission:discord-1550543777955840090","title":"I made some CVSS classification scripts that use Jev to generate a CVSS vector for a given software vulnerability","category":"Home","prompt":null,"description":"I made some CVSS classification scripts that use Jev to generate a CVSS vector for a given software vulnerability description. Currently supports CVSS 3.0, 3.1, and 4.0. Tested against several CVEs from NVD that have official CVSS scores and it's usually either exact or very close to the official scores. Depends partly on how much of an accurate vulnerability description you give it: https://github.com/Red5d/jev-cvss\n\nLinked projects:\n• Red5d/jev-cvss — Fast CVSS scoring from vulnerability descriptions using Typesafe Jev - Red5d/jev-cvss (github.com/Red5d/jev-cvss)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550543777955840090","story":"I made some CVSS classification scripts that use Jev to generate a CVSS vector for a given software vulnerability description. Currently supports CVSS 3.0, 3.1, and 4.0. Tested against several CVEs from NVD that have official CVSS scores and it's usually either exact or very close to the official scores. Depends partly on how much of an accurate vulnerability description you give it: https://github.com/Red5d/jev-cvss\n\nLinked projects:\n• Red5d/jev-cvss — Fast CVSS scoring from vulnerability descriptions using Typesafe Jev - Red5d/jev-cvss (github.com/Red5d/jev-cvss)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550543777955840090","sourceHandle":"Red5d","sourceUrl":"https://github.com/Red5d/jev-cvss","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T16:27:24.375000+00:00","origins":["community"]},{"id":"submission:discord-1550542623545229463","title":"I built \"jev-guard\", an auto-approval layer for Claude Code / Codex / Antigravity agent harnesses:","category":"Integrations","prompt":null,"description":"I built \"jev-guard\", an auto-approval layer for Claude Code / Codex / Antigravity agent harnesses: https://github.com/ClemensSchartmueller/jev-guard\n\nLinked projects:\n• ClemensSchartmueller/jev-guard — Contribute to ClemensSchartmueller/jev-guard development by creating an account on GitHub. (github.com/ClemensSchartmueller/jev-guard)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550542623545229463","story":"I built \"jev-guard\", an auto-approval layer for Claude Code / Codex / Antigravity agent harnesses: https://github.com/ClemensSchartmueller/jev-guard\n\nLinked projects:\n• ClemensSchartmueller/jev-guard — Contribute to ClemensSchartmueller/jev-guard development by creating an account on GitHub. (github.com/ClemensSchartmueller/jev-guard)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550542623545229463","sourceHandle":"sudo rm -rf /*","sourceUrl":"https://github.com/ClemensSchartmueller/jev-guard","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T16:22:49.142000+00:00","origins":["community"]},{"id":"submission:discord-1550542229263618090","title":"made this quickly to test jev, very cool!","category":"Evaluation","prompt":null,"description":"made this quickly to test jev, very cool! \n\nhttps://x.com/_hosty/status/2100980502362517801?s=46\n\nLinked projects:\n• Post by @_hosty — got access to jev and built a little detective escape room 🕵️‍♂️ your passport is missing. three passengers are lying. you connect the clues in your own words, and jev checks whether your argument holds up. (x.com/_hosty/status/2100980502362517801)\n• Post by @_hosty — got access to jev and built a little detective escape room 🕵️‍♂️ your passport is missing. three passengers are lying. you connect the clues in your own words, and jev checks whether your argument holds up. (twitter.com/_hosty/status/2100980502362517801)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550542229263618090","story":"made this quickly to test jev, very cool! \n\nhttps://x.com/_hosty/status/2100980502362517801?s=46\n\nLinked projects:\n• Post by @_hosty — got access to jev and built a little detective escape room 🕵️‍♂️ your passport is missing. three passengers are lying. you connect the clues in your own words, and jev checks whether your argument holds up. (x.com/_hosty/status/2100980502362517801)\n• Post by @_hosty — got access to jev and built a little detective escape room 🕵️‍♂️ your passport is missing. three passengers are lying. you connect the clues in your own words, and jev checks whether your argument holds up. (twitter.com/_hosty/status/2100980502362517801)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550542229263618090","sourceHandle":"hosty","sourceUrl":"https://x.com/_hosty/status/2100980502362517801?s=46","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T16:21:15.138000+00:00","origins":["community"]},{"id":"submission:discord-1550542048782852208","title":"We should have a page of just Jev texas holdem poker apps 😂 I think its aggressiveness depends a lot on the prompting?","category":"Work","prompt":null,"description":"We should have a page of just Jev texas holdem poker apps  😂  https://x.com/imcharliegraham/status/2100954087605113072. \n\nI think its aggressiveness depends a lot on the prompting?\n\nLinked projects:\n• Post by @imcharliegraham — Playing with Jev from @typesafeai I made a texas hold'em poker game that uses Jev to make the decisions. You can play against the bots and it works surprisingly well! (x.com/imcharliegraham/status/2100954087605113072)\n• Post by @imcharliegraham — Playing with Jev from @typesafeai I made a texas hold'em poker game that uses Jev to make the decisions. You can play against the bots and it works surprisingly well! (twitter.com/imcharliegraham/status/2100954087605113072)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550542048782852208","story":"We should have a page of just Jev texas holdem poker apps  😂  https://x.com/imcharliegraham/status/2100954087605113072. \n\nI think its aggressiveness depends a lot on the prompting?\n\nLinked projects:\n• Post by @imcharliegraham — Playing with Jev from @typesafeai I made a texas hold'em poker game that uses Jev to make the decisions. You can play against the bots and it works surprisingly well! (x.com/imcharliegraham/status/2100954087605113072)\n• Post by @imcharliegraham — Playing with Jev from @typesafeai I made a texas hold'em poker game that uses Jev to make the decisions. You can play against the bots and it works surprisingly well! (twitter.com/imcharliegraham/status/2100954087605113072)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550542048782852208","sourceHandle":"Cryptog (Charlie)","sourceUrl":"https://x.com/imcharliegraham/status/2100954087605113072","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T16:20:32.108000+00:00","origins":["community"]},{"id":"submission:discord-1550538611827417221","title":"local workspace to run several AI coding agents at once.","category":"Integrations","prompt":null,"description":"local workspace to run several AI coding agents at once. your keys, your machine. if you like it, a star helps.\nhttps://github.com/celsiusm/jarvis-workspace\n\nLinked projects:\n• celsiusm/jarvis-workspace — A local web cockpit that runs several AI coding agents side by side; your keys, your machine. - celsiusm/jarvis-workspace (github.com/celsiusm/jarvis-workspace)\n• radio.png — image/png · 283 KB (cdn.discordapp.com/attachments/1483217545040232493/1550538608371306648)\n• editor.png — image/png · 138 KB (cdn.discordapp.com/attachments/1483217545040232493/1550538609130737745)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550538611827417221","story":"local workspace to run several AI coding agents at once. your keys, your machine. if you like it, a star helps.\nhttps://github.com/celsiusm/jarvis-workspace\n\nLinked projects:\n• celsiusm/jarvis-workspace — A local web cockpit that runs several AI coding agents side by side; your keys, your machine. - celsiusm/jarvis-workspace (github.com/celsiusm/jarvis-workspace)\n• radio.png — image/png · 283 KB (cdn.discordapp.com/attachments/1483217545040232493/1550538608371306648)\n• editor.png — image/png · 138 KB (cdn.discordapp.com/attachments/1483217545040232493/1550538609130737745)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550538611827417221","sourceHandle":"Celsius","sourceUrl":"https://github.com/celsiusm/jarvis-workspace","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T16:06:52.674000+00:00","origins":["community"]},{"id":"submission:discord-1550537358502535321","title":"Had this idea tonight in a dream.","category":"Work","prompt":null,"description":"https://askjevves.com/\nHad this idea tonight in a dream. Just felt like making it.\nI managed to find more than one way to use Jev's decision and classification abilities, it was a good starting project to try jev out\n\nLinked projects:\n• Ask Jevves — Have a question? Ask Jevves. The butler who knows best, now powered by a frontier decision model. (askjevves.com)\n• image.png — image/png · 92 KB (cdn.discordapp.com/attachments/1483217545040232493/1550537357516734594)\n• image.png — image/png · 129 KB (cdn.discordapp.com/attachments/1483217545040232493/1550537358162792498)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550537358502535321","story":"https://askjevves.com/\nHad this idea tonight in a dream. Just felt like making it.\nI managed to find more than one way to use Jev's decision and classification abilities, it was a good starting project to try jev out\n\nLinked projects:\n• Ask Jevves — Have a question? Ask Jevves. The butler who knows best, now powered by a frontier decision model. (askjevves.com)\n• image.png — image/png · 92 KB (cdn.discordapp.com/attachments/1483217545040232493/1550537357516734594)\n• image.png — image/png · 129 KB (cdn.discordapp.com/attachments/1483217545040232493/1550537358162792498)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550537358502535321","sourceHandle":"rei","sourceUrl":"https://askjevves.com/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T16:01:53.858000+00:00","origins":["community"]},{"id":"submission:discord-1550536033513377944","title":"used the jev cli above to scan PRs for breaking changes -- ``` time ./breaking-changes.sh --debug … base: diff","category":"Work","prompt":null,"description":"used the jev cli above to scan PRs for breaking changes -- ``` time ./breaking-changes.sh --debug\n  … base: diff 4a53517baa3728f331ed2a431804155fb296f8b9\n\n  [medium] crates/organization_service_persistence/src/lib.rs:33  OrganizationServicePersistence\n      Three new public fields (installable_repo, installable_version_repo, installation_repo) were added to the struct\n      breaks: Any code that constructs OrganizationServicePersistence via struct literal (rather than the builder) will fail to compile since new fields must be initialized; also breaks exhaustive pattern matches or destructuring on the struct.\n\nFlagged but not breaking on a closer look (1):\n  crates/organization_service_persistence/src/migrations/m20260916_01_create_installable_catalog_tables.rs:1 — This migration only creates new tables (installable, installable_version, installable_share, installation) and their indexes; it does not drop or rename any existing table/column, nor add a NOT NULL column without a default to an existing table.\n\nBelow the 0.70 confidence bar, not failing (1):\n  0.54  crates/organization_se","story":"used the jev cli above to scan PRs for breaking changes -- ``` time ./breaking-changes.sh --debug\n  … base: diff 4a53517baa3728f331ed2a431804155fb296f8b9\n\n  [medium] crates/organization_service_persistence/src/lib.rs:33  OrganizationServicePersistence\n      Three new public fields (installable_repo, installable_version_repo, installation_repo) were added to the struct\n      breaks: Any code that constructs OrganizationServicePersistence via struct literal (rather than the builder) will fail to compile since new fields must be initialized; also breaks exhaustive pattern matches or destructuring on the struct.\n\nFlagged but not breaking on a closer look (1):\n  crates/organization_service_persistence/src/migrations/m20260916_01_create_installable_catalog_tables.rs:1 — This migration only creates new tables (installable, installable_version, installable_share, installation) and their indexes; it does not drop or rename any existing table/column, nor add a NOT NULL column without a default to an existing table.\n\nBelow the 0.70 confidence bar, not failing (1):\n  0.54  crates/organization_se","sourceHandle":"empath75","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550536033513377944","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T15:56:37.956000+00:00","origins":["community"]},{"id":"submission:discord-1550535520273047643","title":"I added twitch moderation to so you can set actions like ``` !setaction ban users if they harass others !setaction","category":"Integrations","prompt":null,"description":"I added twitch moderation to https://github.com/Infrawrench/Jeeves so you can set actions like \n```\n!setaction ban users if they harass others\n!setaction time a user out for 1 week if they discuss xyz\n!setaction strike a user if they say xyz\n```\n\nLinked projects:\n• Infrawrench/Jeeves — Twitch/Discord moderation rules in plain English, powered by Jev and Gemini - Infrawrench/Jeeves (github.com/Infrawrench/Jeeves)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550535520273047643","story":"I added twitch moderation to https://github.com/Infrawrench/Jeeves so you can set actions like \n```\n!setaction ban users if they harass others\n!setaction time a user out for 1 week if they discuss xyz\n!setaction strike a user if they say xyz\n```\n\nLinked projects:\n• Infrawrench/Jeeves — Twitch/Discord moderation rules in plain English, powered by Jev and Gemini - Infrawrench/Jeeves (github.com/Infrawrench/Jeeves)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550535520273047643","sourceHandle":"JustSomeDev","sourceUrl":"https://github.com/Infrawrench/Jeeves","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T15:54:35.590000+00:00","origins":["community"]},{"id":"submission:discord-1550534522968477706","title":"I've put Jev in a poker tournament with Astra, Sol, Terra, Luna Jev is so conservative, Terra is a bully, Astra is","category":"Work","prompt":null,"description":"I've put Jev in a poker tournament with Astra, Sol, Terra, Luna\nJev is so conservative, Terra is a bully, Astra is balanced\nhttps://x.com/danmana/status/2100975457759789492\n\nLinked projects:\n• Post by @danmana — Can Jev play poker? Yes Can Jev beat OpenAI? Maybe Here is a tournament between Jev, Terra and Astra (x.com/danmana/status/2100975457759789492)\n• Post by @danmana — Can Jev play poker? Yes Can Jev beat OpenAI? Maybe Here is a tournament between Jev, Terra and Astra (twitter.com/danmana/status/2100975457759789492)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550534522968477706","story":"I've put Jev in a poker tournament with Astra, Sol, Terra, Luna\nJev is so conservative, Terra is a bully, Astra is balanced\nhttps://x.com/danmana/status/2100975457759789492\n\nLinked projects:\n• Post by @danmana — Can Jev play poker? Yes Can Jev beat OpenAI? Maybe Here is a tournament between Jev, Terra and Astra (x.com/danmana/status/2100975457759789492)\n• Post by @danmana — Can Jev play poker? Yes Can Jev beat OpenAI? Maybe Here is a tournament between Jev, Terra and Astra (twitter.com/danmana/status/2100975457759789492)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550534522968477706","sourceHandle":"danmana","sourceUrl":"https://x.com/danmana/status/2100975457759789492","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T15:50:37.814000+00:00","origins":["community"]},{"id":"submission:discord-1550532662152659124","title":"We put Jevs into the Coup game.","category":"Fun","prompt":null,"description":"We put Jevs into the Coup game. You can chat, taunt and bluff Jevs.\nAlso, beware of Mo.\nhttps://coup.clairbridge.tech\n\nLinked projects:\n• Coup with Jev — Three opponents played by Jev. They bluff, challenge, and talk back. (coup.clairbridge.tech)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550532662152659124","story":"We put Jevs into the Coup game. You can chat, taunt and bluff Jevs.\nAlso, beware of Mo.\nhttps://coup.clairbridge.tech\n\nLinked projects:\n• Coup with Jev — Three opponents played by Jev. They bluff, challenge, and talk back. (coup.clairbridge.tech)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550532662152659124","sourceHandle":"reimudelta","sourceUrl":"https://coup.clairbridge.tech","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T15:43:14.161000+00:00","origins":["community"]},{"id":"submission:discord-1550532200355733514","title":"exactly, check out the other commands if you want : ] I put a website showcasing them","category":"Work","prompt":null,"description":"exactly, check out the other commands if you want : ]\nI put a website showcasing them\nhttps://jevcli.vectorz.app/\n\nLinked projects:\n• Jev CLI: AI you can grep — Verify claims, screen text, rank candidates, ask anything. Probabilities and exit codes, not prose. (jevcli.vectorz.app)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550532200355733514","story":"exactly, check out the other commands if you want : ]\nI put a website showcasing them\nhttps://jevcli.vectorz.app/\n\nLinked projects:\n• Jev CLI: AI you can grep — Verify claims, screen text, rank candidates, ask anything. Probabilities and exit codes, not prose. (jevcli.vectorz.app)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550532200355733514","sourceHandle":"Nasr","sourceUrl":"https://jevcli.vectorz.app/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T15:41:24.060000+00:00","origins":["community"]},{"id":"submission:discord-1550532006767624324","title":"I was inspired of all the content of Jev being used as a \"creative\" tool and tried to let it paint on the same image","category":"Work","prompt":null,"description":"I was inspired of all the content of Jev being used as a \"creative\" tool and tried to let it paint on the same image over multiple iterations: https://x.com/crossiBuilds/status/2100972788164985043\n\nLinked projects:\n• Post by @crossiBuilds — Here's what happens if you let Jev draw for multiple iterations. Every pixel gets the color of the neighbors from the last run and a scaled down map of the whole image as the context. Worked not that bad until the 6th or (x.com/crossiBuilds/status/2100972788164985043)\n• Post by @crossiBuilds — Here's what happens if you let Jev draw for multiple iterations. Every pixel gets the color of the neighbors from the last run and a scaled down map of the whole image as the context. Worked not that bad until the 6th or (twitter.com/crossiBuilds/status/2100972788164985043)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550532006767624324","story":"I was inspired of all the content of Jev being used as a \"creative\" tool and tried to let it paint on the same image over multiple iterations: https://x.com/crossiBuilds/status/2100972788164985043\n\nLinked projects:\n• Post by @crossiBuilds — Here's what happens if you let Jev draw for multiple iterations. Every pixel gets the color of the neighbors from the last run and a scaled down map of the whole image as the context. Worked not that bad until the 6th or (x.com/crossiBuilds/status/2100972788164985043)\n• Post by @crossiBuilds — Here's what happens if you let Jev draw for multiple iterations. Every pixel gets the color of the neighbors from the last run and a scaled down map of the whole image as the context. Worked not that bad until the 6th or (twitter.com/crossiBuilds/status/2100972788164985043)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550532006767624324","sourceHandle":"Tim Krase","sourceUrl":"https://x.com/crossiBuilds/status/2100972788164985043","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T15:40:37.905000+00:00","origins":["community"]},{"id":"submission:discord-1550531847161778196","title":"I have a benchmark that tests models for \"here's a set of statements, express the common principle behind them\" and","category":"Evaluation","prompt":null,"description":"I have a benchmark that tests models for \"here's a set of statements, express the common principle behind them\" and the model expresses a principle. Then in fresh context windows, the model is shown a series of statements and asks \"which of these statements are examples of the principle?\" jev skipped the first step (since it doesn't express) but came out on top finding which statements exhibit the principle\n\nDemo: https://yuwakisa.com/benchmarks/principle/\n\nResults: https://yuwakisa.com/benchmarks/principle/report-s5xu-20260919/report\n\nLinked projects:\n• Principle benchmark — human edition (yuwakisa.com/benchmarks/principle)\n• Principle benchmark report (yuwakisa.com/benchmarks/principle/report-s5xu-20260919/report)\n• image.png — image/png · 23 KB (cdn.discordapp.com/attachments/1483217545040232493/1550531846129844284)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550531847161778196","story":"I have a benchmark that tests models for \"here's a set of statements, express the common principle behind them\" and the model expresses a principle. Then in fresh context windows, the model is shown a series of statements and asks \"which of these statements are examples of the principle?\" jev skipped the first step (since it doesn't express) but came out on top finding which statements exhibit the principle\n\nDemo: https://yuwakisa.com/benchmarks/principle/\n\nResults: https://yuwakisa.com/benchmarks/principle/report-s5xu-20260919/report\n\nLinked projects:\n• Principle benchmark — human edition (yuwakisa.com/benchmarks/principle)\n• Principle benchmark report (yuwakisa.com/benchmarks/principle/report-s5xu-20260919/report)\n• image.png — image/png · 23 KB (cdn.discordapp.com/attachments/1483217545040232493/1550531846129844284)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550531847161778196","sourceHandle":"hypnoticfuzzwave","sourceUrl":"https://yuwakisa.com/benchmarks/principle/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T15:39:59.852000+00:00","origins":["community"]},{"id":"submission:discord-1550531579405930648","title":"Hope this hasn’t been done already😁","category":"Work","prompt":null,"description":"Hope this hasn’t been done already😁\n\nhttps://x.com/sarem_seitz/status/2100971430124953608?s=46\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550531579405930648","story":"Hope this hasn’t been done already😁\n\nhttps://x.com/sarem_seitz/status/2100971430124953608?s=46\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550531579405930648","sourceHandle":"spike_spiegel","sourceUrl":"https://x.com/sarem_seitz/status/2100971430124953608?s=46","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T15:38:56.014000+00:00","origins":["community"]},{"id":"submission:discord-1550530932430086186","title":"looks nice, checkout the compaction i made btw","category":"Admin","prompt":null,"description":"looks nice, checkout the compaction i made btw https://github.com/Nasrallah-AL/jev-cli/blob/main/docs/compact.md\n\nLinked projects:\n• Nasrallah-AL/jev-cli — Command-line tool for TypeSafe's Jev AI model. Contribute to Nasrallah-AL/jev-cli development by creating an account on GitHub. (github.com/Nasrallah-AL/jev-cli/blob/main/docs/compact.md)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550530932430086186","story":"looks nice, checkout the compaction i made btw https://github.com/Nasrallah-AL/jev-cli/blob/main/docs/compact.md\n\nLinked projects:\n• Nasrallah-AL/jev-cli — Command-line tool for TypeSafe's Jev AI model. Contribute to Nasrallah-AL/jev-cli development by creating an account on GitHub. (github.com/Nasrallah-AL/jev-cli/blob/main/docs/compact.md)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550530932430086186","sourceHandle":"Nasr","sourceUrl":"https://github.com/Nasrallah-AL/jev-cli/blob/main/docs/compact.md","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T15:36:21.763000+00:00","origins":["community"]},{"id":"submission:discord-1550530818139627580","title":"Used jev to classify AI Slop (for highlighting AI slop linkedin posts), works really well ...","category":"Integrations","prompt":null,"description":"Used jev to classify AI Slop (for highlighting AI slop linkedin posts), works really well ... https://github.com/guybrush1984/purelink\n\nLinked projects:\n• guybrush1984/purelink — Chrome plugin to highlight AI generated posts. Contribute to guybrush1984/purelink development by creating an account on GitHub. (github.com/guybrush1984/purelink)\n• Screenshot_from_2026-09-18_17-35-46.png — image/png · 34 KB (cdn.discordapp.com/attachments/1483217545040232493/1550530817678119022)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550530818139627580","story":"Used jev to classify AI Slop (for highlighting AI slop linkedin posts), works really well ... https://github.com/guybrush1984/purelink\n\nLinked projects:\n• guybrush1984/purelink — Chrome plugin to highlight AI generated posts. Contribute to guybrush1984/purelink development by creating an account on GitHub. (github.com/guybrush1984/purelink)\n• Screenshot_from_2026-09-18_17-35-46.png — image/png · 34 KB (cdn.discordapp.com/attachments/1483217545040232493/1550530817678119022)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550530818139627580","sourceHandle":"guybrush1984","sourceUrl":"https://github.com/guybrush1984/purelink","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T15:35:54.514000+00:00","origins":["community"]},{"id":"submission:discord-1550530735478149260","title":"Jev handling part of the hermes compaction, fun little side project","category":"Integrations","prompt":null,"description":"https://github.com/TheEpTic/hermes-plugins/tree/main/hermes-jev-compact\n\nJev handling part of the hermes compaction, fun little side project\n\nLinked projects:\n• TheEpTic/hermes-plugins — Public hermes plugins that I’ve developed & needed over time - TheEpTic/hermes-plugins (github.com/TheEpTic/hermes-plugins/tree/main/hermes-jev-compact)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550530735478149260","story":"https://github.com/TheEpTic/hermes-plugins/tree/main/hermes-jev-compact\n\nJev handling part of the hermes compaction, fun little side project\n\nLinked projects:\n• TheEpTic/hermes-plugins — Public hermes plugins that I’ve developed & needed over time - TheEpTic/hermes-plugins (github.com/TheEpTic/hermes-plugins/tree/main/hermes-jev-compact)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550530735478149260","sourceHandle":"TheEpTic","sourceUrl":"https://github.com/TheEpTic/hermes-plugins/tree/main/hermes-jev-compact","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T15:35:34.806000+00:00","origins":["community"]},{"id":"submission:discord-1550529701792063550","title":"Here's how to use it:","category":"Work","prompt":null,"description":"Here's how to use it: https://query.farm/blog/a-where-clause-for-taste/\n\nLinked projects:\n• A SQL WHERE Clause for Taste | Query.Farm — I pointed DuckDB at Hacker News and at Jev, TypeSafe (query.farm/blog/a-where-clause-for-taste)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550529701792063550","story":"Here's how to use it: https://query.farm/blog/a-where-clause-for-taste/\n\nLinked projects:\n• A SQL WHERE Clause for Taste | Query.Farm — I pointed DuckDB at Hacker News and at Jev, TypeSafe (query.farm/blog/a-where-clause-for-taste)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550529701792063550","sourceHandle":"Rusty Conover","sourceUrl":"https://query.farm/blog/a-where-clause-for-taste/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T15:31:28.356000+00:00","origins":["community"]},{"id":"submission:discord-1550529452805460121","title":"I made this DuckDB extension for Jev:","category":"Integrations","prompt":null,"description":"I made this DuckDB extension for Jev: https://github.com/Query-farm/vgi-typesafe\n\nLinked projects:\n• Query-farm/vgi-typesafe — A VGI worker exposing TypeSafe System One questions (choice, noul, score) to DuckDB/SQL as LATERAL-joinable table functions - Query-farm/vgi-typesafe (github.com/Query-farm/vgi-typesafe)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550529452805460121","story":"I made this DuckDB extension for Jev: https://github.com/Query-farm/vgi-typesafe\n\nLinked projects:\n• Query-farm/vgi-typesafe — A VGI worker exposing TypeSafe System One questions (choice, noul, score) to DuckDB/SQL as LATERAL-joinable table functions - Query-farm/vgi-typesafe (github.com/Query-farm/vgi-typesafe)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550529452805460121","sourceHandle":"Rusty Conover","sourceUrl":"https://github.com/Query-farm/vgi-typesafe","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T15:30:28.993000+00:00","origins":["community"]},{"id":"submission:discord-1550529231635746827","title":"Hey, have you considered putting JevRouter directly between the agent and tool execution?","category":"Work","prompt":null,"description":"Hey, have you considered putting JevRouter directly between the agent and tool execution? The LLM would propose an action, but a controller would use JevRouter’s decision and policy checks to decide whether to execute it. The agent wouldn’t have a separate path to call the tool directly.\n\nThat would make routing an enforced step rather than something the agent is instructed to consult. Is that a direction you’re considering?","story":"Hey, have you considered putting JevRouter directly between the agent and tool execution? The LLM would propose an action, but a controller would use JevRouter’s decision and policy checks to decide whether to execute it. The agent wouldn’t have a separate path to call the tool directly.\n\nThat would make routing an enforced step rather than something the agent is instructed to consult. Is that a direction you’re considering?","sourceHandle":"godindav","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550529231635746827","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T15:29:36.262000+00:00","origins":["community"]},{"id":"submission:discord-1550528708719153233","title":"What's up y'all, made a small eval tool for jev: The goal is to have something to help me keep track of my","category":"Evaluation","prompt":null,"description":"What's up y'all, made a small eval tool for jev: https://x.com/Dayhaysoos/status/2100968892591968320\n\nThe goal is to have something to help me keep track of my improvements or regressions. Everything stored locally on an SQL database\n\nLinked projects:\n• Post by @Dayhaysoos — I wanted an easier way to test my jev requests and see if my results are improving, so I built jevals! It's a local workbench for testng the Noul, Choice, and Score primitives. You can mix requests as well. You can run a (x.com/Dayhaysoos/status/2100968892591968320)\n• Post by @Dayhaysoos — I wanted an easier way to test my jev requests and see if my results are improving, so I built jevals! It's a local workbench for testng the Noul, Choice, and Score primitives. You can mix requests as well. You can run a (twitter.com/Dayhaysoos/status/2100968892591968320)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550528708719153233","story":"What's up y'all, made a small eval tool for jev: https://x.com/Dayhaysoos/status/2100968892591968320\n\nThe goal is to have something to help me keep track of my improvements or regressions. Everything stored locally on an SQL database\n\nLinked projects:\n• Post by @Dayhaysoos — I wanted an easier way to test my jev requests and see if my results are improving, so I built jevals! It's a local workbench for testng the Noul, Choice, and Score primitives. You can mix requests as well. You can run a (x.com/Dayhaysoos/status/2100968892591968320)\n• Post by @Dayhaysoos — I wanted an easier way to test my jev requests and see if my results are improving, so I built jevals! It's a local workbench for testng the Noul, Choice, and Score primitives. You can mix requests as well. You can run a (twitter.com/Dayhaysoos/status/2100968892591968320)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550528708719153233","sourceHandle":"soos","sourceUrl":"https://x.com/Dayhaysoos/status/2100968892591968320","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T15:27:31.589000+00:00","origins":["community"]},{"id":"submission:discord-1550527667672055968","title":"Interesting. Do you think it could replace something like this and Kiro?","category":"Integrations","prompt":null,"description":"Interesting. Do you think it could replace something like this https://github.com/aws-samples/sample-specship and Kiro?\n\nLinked projects:\n• aws-samples/sample-specship — Spec-driven autonomous engineering workflow for AI coding agents: recon → plan → build → validate → ship — with TDD, adversarial validation, and anti-slop quality gates. Packaged as a Kiro Power. -... (github.com/aws-samples/sample-specship)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550527667672055968","story":"Interesting. Do you think it could replace something like this https://github.com/aws-samples/sample-specship and Kiro?\n\nLinked projects:\n• aws-samples/sample-specship — Spec-driven autonomous engineering workflow for AI coding agents: recon → plan → build → validate → ship — with TDD, adversarial validation, and anti-slop quality gates. Packaged as a Kiro Power. -... (github.com/aws-samples/sample-specship)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550527667672055968","sourceHandle":"godindav","sourceUrl":"https://github.com/aws-samples/sample-specship","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T15:23:23.384000+00:00","origins":["community"]},{"id":"submission:discord-1550526281488277585","title":"Guys, stop watching Jev from the sidelines.","category":"Shopping","prompt":null,"description":"Guys, stop watching Jev from the sidelines. Just BYOK ➡️ http://jevrouter.co\n\nExperience Jev models in your own agent with one click, no orchestration required.\n\nJevRouter is continuously improving and fully open source. Contributions welcome. Let’s build the best Jev Harness together.\n\nGitHub: https://github.com/BillionsBobby/JevRouter\n\nHow it works:\n1️⃣ Get a Jev API key. Official access is still waitlisted; OpenRouter works now.\n2️⃣ Visit http://jevrouter.co and copy the instruction.\n3️⃣ Add your Jev key and send it to your agent ✅\nSupports Codex, Claude Code, and other popular agents.\nJev helps agents make faster decisions with fewer tokens and lower costs.\nOn 10 Toolathlon tasks, Jev’s serial mode achieved 38% top-5 tool-call position accuracy vs. 24% for DeepSeek V4.1 Flash—while running ~5.5× faster and costing ~7× less.\n\nJev is built for fast, cost-efficient tool routing when execution order matters.\n\nLinked projects:\n• JevRouter — Faster Agent Decisions — JevRouter is a lightweight decision layer for routing models, tools, and subagents with Jev. (jevrouter.co)\n• BillionsBobby/JevRouter — A lightweight Jev-powered router for models, tools, and subagents - BillionsBobby/JevRouter (github.com/BillionsBobby/JevRouter)\n• EE231899-4C0B-4AB1-AFBC-0044D49B401C.PNG — image/png · 1 MB (cdn.discordapp.com/attachments/1483217545040232493/1550526281148272732)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550526281488277585","story":"Guys, stop watching Jev from the sidelines. Just BYOK ➡️ http://jevrouter.co\n\nExperience Jev models in your own agent with one click, no orchestration required.\n\nJevRouter is continuously improving and fully open source. Contributions welcome. Let’s build the best Jev Harness together.\n\nGitHub: https://github.com/BillionsBobby/JevRouter\n\nHow it works:\n1️⃣ Get a Jev API key. Official access is still waitlisted; OpenRouter works now.\n2️⃣ Visit http://jevrouter.co and copy the instruction.\n3️⃣ Add your Jev key and send it to your agent ✅\nSupports Codex, Claude Code, and other popular agents.\nJev helps agents make faster decisions with fewer tokens and lower costs.\nOn 10 Toolathlon tasks, Jev’s serial mode achieved 38% top-5 tool-call position accuracy vs. 24% for DeepSeek V4.1 Flash—while running ~5.5× faster and costing ~7× less.\n\nJev is built for fast, cost-efficient tool routing when execution order matters.\n\nLinked projects:\n• JevRouter — Faster Agent Decisions — JevRouter is a lightweight decision layer for routing models, tools, and subagents with Jev. (jevrouter.co)\n• BillionsBobby/JevRouter — A lightweight Jev-powered router for models, tools, and subagents - BillionsBobby/JevRouter (github.com/BillionsBobby/JevRouter)\n• EE231899-4C0B-4AB1-AFBC-0044D49B401C.PNG — image/png · 1 MB (cdn.discordapp.com/attachments/1483217545040232493/1550526281148272732)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550526281488277585","sourceHandle":"Bobby","sourceUrl":"https://github.com/BillionsBobby/JevRouter","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T15:17:52.892000+00:00","origins":["community"]},{"id":"submission:discord-1550525062535319602","title":"Found a way to use Jev auditing my vibecoded cpp codebase and help with atomic fixing.","category":"Work","prompt":null,"description":"Found a way to use Jev auditing my vibecoded cpp codebase and help with atomic fixing.\n\nLinked projects:\n• image.png — image/png · 100 KB (cdn.discordapp.com/attachments/1483217545040232493/1550525061591736490)\n• image.png — image/png · 38 KB (cdn.discordapp.com/attachments/1483217545040232493/1550525062052970536)","story":"Found a way to use Jev auditing my vibecoded cpp codebase and help with atomic fixing.\n\nLinked projects:\n• image.png — image/png · 100 KB (cdn.discordapp.com/attachments/1483217545040232493/1550525061591736490)\n• image.png — image/png · 38 KB (cdn.discordapp.com/attachments/1483217545040232493/1550525062052970536)","sourceHandle":"Q86","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550525062535319602","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T15:13:02.271000+00:00","origins":["community"]},{"id":"submission:discord-1550522293455683705","title":"Jev can be used for profiling players, which is great for organizing playtests and checking balance changes across","category":"Home","prompt":null,"description":"Jev can be used for profiling players, which is great for organizing playtests and checking balance changes across different player groups.\nhttps://x.com/NicoSaraintaris/status/2100962598237749648\n\nLinked projects:\n• Post by @NicoSaraintaris — Jev (@typesafeai) is great for profiling players! 👀 It watches you play Roulette Wars live, scores your risk-taking, and tags you as one of 4 archetypes (fortress / gambler / tactician / wildcard). We can then check if  (x.com/NicoSaraintaris/status/2100962598237749648)\n• Post by @NicoSaraintaris — Jev (@typesafeai) is great for profiling players! 👀 It watches you play Roulette Wars live, scores your risk-taking, and tags you as one of 4 archetypes (fortress / gambler / tactician / wildcard). We can then check if  (twitter.com/NicoSaraintaris/status/2100962598237749648)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550522293455683705","story":"Jev can be used for profiling players, which is great for organizing playtests and checking balance changes across different player groups.\nhttps://x.com/NicoSaraintaris/status/2100962598237749648\n\nLinked projects:\n• Post by @NicoSaraintaris — Jev (@typesafeai) is great for profiling players! 👀 It watches you play Roulette Wars live, scores your risk-taking, and tags you as one of 4 archetypes (fortress / gambler / tactician / wildcard). We can then check if  (x.com/NicoSaraintaris/status/2100962598237749648)\n• Post by @NicoSaraintaris — Jev (@typesafeai) is great for profiling players! 👀 It watches you play Roulette Wars live, scores your risk-taking, and tags you as one of 4 archetypes (fortress / gambler / tactician / wildcard). We can then check if  (twitter.com/NicoSaraintaris/status/2100962598237749648)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550522293455683705","sourceHandle":"NicoSaraintaris","sourceUrl":"https://x.com/NicoSaraintaris/status/2100962598237749648","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T15:02:02.071000+00:00","origins":["community"]},{"id":"submission:discord-1550521829129592953","title":"I’m planning a Jev benchmark inside Celestion’s real L0 code-understanding pipeline.","category":"Home","prompt":null,"description":"I’m planning a Jev benchmark inside Celestion’s real L0 code-understanding pipeline.\n\nL0 already uses Graphify to extract deterministic structural facts from code. The problem I want to test is whether Jev can reliably turn those facts into typed semantic classifications without requiring a large framework-specific ruleset.\n\nI’ll compare Jev using different inputs: source only, source plus imports/annotations, source plus Graphify facts, and source plus graph neighborhood.\n\nThe benchmark will measure semantic classification accuracy, false positives, UNKNOWN cases, stability across renames and unfamiliar/custom annotations, latency, and cost.\n\nIf it works well, Jev could become Celestion’s semantic layer for L0, while identity, source evidence, revision, hashes, and persistence remain deterministic.\n\nLater I want to test the same approach for L1 cross-repo binding, requirement validation, and coding-agent workflow evaluation.\n\nLinked projects:\n• mddinizbh/ai-coding-celestion — OpenCode harness and coding agents. Contribute to mddinizbh/ai-coding-celestion development by creating an account on GitHub. (github.com/mddinizbh/ai-coding-celestion)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550521829129592953","story":"I’m planning a Jev benchmark inside Celestion’s real L0 code-understanding pipeline.\n\nL0 already uses Graphify to extract deterministic structural facts from code. The problem I want to test is whether Jev can reliably turn those facts into typed semantic classifications without requiring a large framework-specific ruleset.\n\nI’ll compare Jev using different inputs: source only, source plus imports/annotations, source plus Graphify facts, and source plus graph neighborhood.\n\nThe benchmark will measure semantic classification accuracy, false positives, UNKNOWN cases, stability across renames and unfamiliar/custom annotations, latency, and cost.\n\nIf it works well, Jev could become Celestion’s semantic layer for L0, while identity, source evidence, revision, hashes, and persistence remain deterministic.\n\nLater I want to test the same approach for L1 cross-repo binding, requirement validation, and coding-agent workflow evaluation.\n\nLinked projects:\n• mddinizbh/ai-coding-celestion — OpenCode harness and coding agents. Contribute to mddinizbh/ai-coding-celestion development by creating an account on GitHub. (github.com/mddinizbh/ai-coding-celestion)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550521829129592953","sourceHandle":"marleydiniz","sourceUrl":"https://github.com/mddinizbh/ai-coding-celestion","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T15:00:11.367000+00:00","origins":["community"]},{"id":"submission:discord-1550521101522702356","title":"doing a in person jev demo night next week for my nyc peeps.","category":"Work","prompt":null,"description":"doing a in person jev demo night next week for my nyc peeps. might also live stream from x if people are interested : https://luma.com/xogxfokf\n\nLinked projects:\n• Jev Demo Night · Luma — the first ever jev demo night jev is the new system one model out of typesafe ai: a model that just judges. one verdict, milliseconds, no vibes. it's been out… (luma.com/xogxfokf)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550521101522702356","story":"doing a in person jev demo night next week for my nyc peeps. might also live stream from x if people are interested : https://luma.com/xogxfokf\n\nLinked projects:\n• Jev Demo Night · Luma — the first ever jev demo night jev is the new system one model out of typesafe ai: a model that just judges. one verdict, milliseconds, no vibes. it's been out… (luma.com/xogxfokf)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550521101522702356","sourceHandle":"Kaya","sourceUrl":"https://luma.com/xogxfokf","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T14:57:17.892000+00:00","origins":["community"]},{"id":"submission:discord-1550520877576102049","title":"Jev GL account coding","category":"Work","prompt":null,"description":"Jev GL account coding\nhttps://x.com/its_d_i_m_a/status/2100961401183592885?s=20\n\nLinked projects:\n• Post by @its_d_i_m_a — One of the easiest @GetPeakflo use cases for Jev is GL / findim invoice coding on a fly. (x.com/its_d_i_m_a/status/2100961401183592885)\n• Post by @its_d_i_m_a — One of the easiest @GetPeakflo use cases for Jev is GL / findim invoice coding on a fly. (twitter.com/its_d_i_m_a/status/2100961401183592885)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550520877576102049","story":"Jev GL account coding\nhttps://x.com/its_d_i_m_a/status/2100961401183592885?s=20\n\nLinked projects:\n• Post by @its_d_i_m_a — One of the easiest @GetPeakflo use cases for Jev is GL / findim invoice coding on a fly. (x.com/its_d_i_m_a/status/2100961401183592885)\n• Post by @its_d_i_m_a — One of the easiest @GetPeakflo use cases for Jev is GL / findim invoice coding on a fly. (twitter.com/its_d_i_m_a/status/2100961401183592885)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550520877576102049","sourceHandle":"drusky","sourceUrl":"https://x.com/its_d_i_m_a/status/2100961401183592885?s=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T14:56:24.499000+00:00","origins":["community"]},{"id":"submission:discord-1550516653627019376","title":"it sort of sucks, but i knocked together a quick UI generator","category":"Work","prompt":null,"description":"it sort of sucks, but i knocked together a quick UI generator\n\nLinked projects:\n• screenrecording.mov — video/quicktime · 9 MB (cdn.discordapp.com/attachments/1483217545040232493/1550516653400395776)","story":"it sort of sucks, but i knocked together a quick UI generator\n\nLinked projects:\n• screenrecording.mov — video/quicktime · 9 MB (cdn.discordapp.com/attachments/1483217545040232493/1550516653400395776)","sourceHandle":"empath75","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550516653627019376","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T14:39:37.431000+00:00","origins":["community"]},{"id":"submission:discord-1550515465015533579","title":"Hi guys, I built pi-heed for Pi: It keeps conversational constraints like “don’t modify files” or “never call","category":"Evaluation","prompt":null,"description":"Hi guys, I built pi-heed for Pi:\n\nhttps://github.com/Nyarlathoteppppp/pi-heed\n\nIt keeps conversational constraints like “don’t modify files” or “never call production” as runtime state, then checks side-effecting tool calls before they execute.\n\nObvious cases use deterministic rules; ambiguous free-text constraints use Jev.\n\nIt defaults to shadow mode and fails open on uncertainty/errors.\n\n46/46 tests passing so far.\n\nLinked projects:\n• Nyarlathoteppppp/pi-heed — Runtime constraints for the pi coding agent: checks every side-effecting tool call against what you said, before it runs. Powered by TypeSafe Jev. - Nyarlathoteppppp/pi-heed (github.com/Nyarlathoteppppp/pi-heed)\n• image.png — image/png · 2 MB (cdn.discordapp.com/attachments/1483217545040232493/1550515464734507028)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550515465015533579","story":"Hi guys, I built pi-heed for Pi:\n\nhttps://github.com/Nyarlathoteppppp/pi-heed\n\nIt keeps conversational constraints like “don’t modify files” or “never call production” as runtime state, then checks side-effecting tool calls before they execute.\n\nObvious cases use deterministic rules; ambiguous free-text constraints use Jev.\n\nIt defaults to shadow mode and fails open on uncertainty/errors.\n\n46/46 tests passing so far.\n\nLinked projects:\n• Nyarlathoteppppp/pi-heed — Runtime constraints for the pi coding agent: checks every side-effecting tool call against what you said, before it runs. Powered by TypeSafe Jev. - Nyarlathoteppppp/pi-heed (github.com/Nyarlathoteppppp/pi-heed)\n• image.png — image/png · 2 MB (cdn.discordapp.com/attachments/1483217545040232493/1550515464734507028)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550515465015533579","sourceHandle":"奈亚子","sourceUrl":"https://github.com/Nyarlathoteppppp/pi-heed","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T14:34:54.044000+00:00","origins":["community"]},{"id":"submission:discord-1550514792978972824","title":"** Jev CLI is out** <a:elmo_fire:1549940287235686410> `jev` puts TypeSafe's Jev model on the command line.","category":"Home","prompt":null,"description":"** Jev CLI is out** <a:elmo_fire:1549940287235686410> \n\n`jev` puts TypeSafe's Jev model on the command line.\n\n**What it does**\n• `verify`: check claims against evidence, verdict + probabilities per claim\n• `screen`: flag prompt injection, filler, and off-topic text before an agent reads it\n• `classify`: single, multi, or hierarchical labels with confidence\n• `extract`: pull emails, amounts, dates, custom regex fields without hallucination\n• `match` : same / different / unclear for record pairs, with dedupe\n• `route` : pick a handler and fill its arguments in one call\n• `find` / `rerank` : rank up candidates against a plain-language query\n• `ask` : raw yes/no, choice, or score questions about any state\n• `compact` : shrink agent transcripts by dropping stale tool calls, kept lines stay verbatim\n• `batch` :  run any of the above over thousands of rows with a concurrency pool\n\nWorks with a TypeSafe key, OpenRouter, or Cloudflare Workers\n\nLinked projects:\n• Jev CLI: AI you can grep — Verify claims, screen text, rank candidates, ask anything. Probabilities and exit codes, not prose. (jevcli.vectorz.app)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550514792978972824","story":"** Jev CLI is out** <a:elmo_fire:1549940287235686410> \n\n`jev` puts TypeSafe's Jev model on the command line.\n\n**What it does**\n• `verify`: check claims against evidence, verdict + probabilities per claim\n• `screen`: flag prompt injection, filler, and off-topic text before an agent reads it\n• `classify`: single, multi, or hierarchical labels with confidence\n• `extract`: pull emails, amounts, dates, custom regex fields without hallucination\n• `match` : same / different / unclear for record pairs, with dedupe\n• `route` : pick a handler and fill its arguments in one call\n• `find` / `rerank` : rank up candidates against a plain-language query\n• `ask` : raw yes/no, choice, or score questions about any state\n• `compact` : shrink agent transcripts by dropping stale tool calls, kept lines stay verbatim\n• `batch` :  run any of the above over thousands of rows with a concurrency pool\n\nWorks with a TypeSafe key, OpenRouter, or Cloudflare Workers\n\nLinked projects:\n• Jev CLI: AI you can grep — Verify claims, screen text, rank candidates, ask anything. Probabilities and exit codes, not prose. (jevcli.vectorz.app)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550514792978972824","sourceHandle":"Nasr","sourceUrl":"https://example.com/pricing","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T14:32:13.818000+00:00","origins":["community"]},{"id":"submission:discord-1550513764477173811","title":"Hello — me and my agents are building AILANG, an ai-first typed functional language designed for coding agents with","category":"Admin","prompt":null,"description":"Hello — me and my agents are building AILANG, an ai-first typed functional language designed for coding agents with explicit effects, closed types, all non-determinism declared. Running a self-improving harness, that makes a lot of structured decisions — routing failures, gating feedback messages, triage emails etc. To date been using gemini/glm3 flash and JSON-parsing.\n\nJev looks to be a good fit as AILANG already works with a closed ADT behind a declared effect. the language has package ecosystem now (monitored by ai-agents) and they wrote sunholo/decisions — a pure-AILANG binding to Jev via OpenRouter's Decisions API. Noul / Choice / Score are ADT constructors; answers come back as NoulA | ChoiceA | ScoreA with their distributions; and the one policy helper, gate(answer, threshold), is three-way — Act | Escalate | Ungateable — so the package ships no default threshold and low confidence can't be confused with a wrong type. We fall\n\nLinked projects:\n• sunholo-data/ailang-packages — Curated AILANG packages — auth, HTTP utils, config, logging, GCP integration - sunholo-data/ailang-packages (github.com/sunholo-data/ailang-packages/tree/main/packages/decisions)\n• sunholo-data/ailang — For humans, a language is a tool for expression. For AIs, it's a substrate for reasoning. - sunholo-data/ailang (github.com/sunholo-data/ailang/blob/dev/design_docs/implemented/v0_40_)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550513764477173811","story":"Hello — me and my agents are building AILANG, an ai-first typed functional language designed for coding agents with explicit effects, closed types, all non-determinism declared. Running a self-improving harness, that makes a lot of structured decisions — routing failures, gating feedback messages, triage emails etc. To date been using gemini/glm3 flash and JSON-parsing.\n\nJev looks to be a good fit as AILANG already works with a closed ADT behind a declared effect. the language has package ecosystem now (monitored by ai-agents) and they wrote sunholo/decisions — a pure-AILANG binding to Jev via OpenRouter's Decisions API. Noul / Choice / Score are ADT constructors; answers come back as NoulA | ChoiceA | ScoreA with their distributions; and the one policy helper, gate(answer, threshold), is three-way — Act | Escalate | Ungateable — so the package ships no default threshold and low confidence can't be confused with a wrong type. We fall\n\nLinked projects:\n• sunholo-data/ailang-packages — Curated AILANG packages — auth, HTTP utils, config, logging, GCP integration - sunholo-data/ailang-packages (github.com/sunholo-data/ailang-packages/tree/main/packages/decisions)\n• sunholo-data/ailang — For humans, a language is a tool for expression. For AIs, it's a substrate for reasoning. - sunholo-data/ailang (github.com/sunholo-data/ailang/blob/dev/design_docs/implemented/v0_40_)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550513764477173811","sourceHandle":"MarkeD","sourceUrl":"https://github.com/sunholo-data/ailang-packages/tree/main/packages/decisions","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T14:28:08.604000+00:00","origins":["community"]},{"id":"submission:discord-1550512902618878022","title":"Shared by Cryptog (Charlie): imcharliegraham status 2100954087605113072","category":"Work","prompt":null,"description":"https://x.com/imcharliegraham/status/2100954087605113072?s=20\n\nLinked projects:\n• Post by @imcharliegraham — Playing with Jev from @typesafeai I made a texas hold'em poker game that uses Jev to make the decisions. You can play against the bots and it works surprisingly well! (x.com/imcharliegraham/status/2100954087605113072)\n• Post by @imcharliegraham — Playing with Jev from @typesafeai I made a texas hold'em poker game that uses Jev to make the decisions. You can play against the bots and it works surprisingly well! (twitter.com/imcharliegraham/status/2100954087605113072)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550512902618878022","story":"https://x.com/imcharliegraham/status/2100954087605113072?s=20\n\nLinked projects:\n• Post by @imcharliegraham — Playing with Jev from @typesafeai I made a texas hold'em poker game that uses Jev to make the decisions. You can play against the bots and it works surprisingly well! (x.com/imcharliegraham/status/2100954087605113072)\n• Post by @imcharliegraham — Playing with Jev from @typesafeai I made a texas hold'em poker game that uses Jev to make the decisions. You can play against the bots and it works surprisingly well! (twitter.com/imcharliegraham/status/2100954087605113072)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550512902618878022","sourceHandle":"Cryptog (Charlie)","sourceUrl":"https://x.com/imcharliegraham/status/2100954087605113072?s=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T14:24:43.121000+00:00","origins":["community"]},{"id":"submission:discord-1550512802370949150","title":"Generating levels in real time with Jev 😄 Pretty cool thing!","category":"Shopping","prompt":null,"description":"Generating levels in real time with Jev 😄\n\nPretty cool thing! It's just a buffed classifier at the end, but for games low latency and low costs are a big deal!\n\nhttps://x.com/HugoDuprez/status/2100953089003921543?s=20\n\nLinked projects:\n• Post by @HugoDuprez — Jev can generate game levels in real time. Faster and cheaper structured output could be a big deal for game dev! (x.com/HugoDuprez/status/2100953089003921543)\n• sf_jev.mp4 — video/mp4 · 2 MB (cdn.discordapp.com/attachments/1483217545040232493/1550512801963970651)\n• Post by @HugoDuprez — Jev can generate game levels in real time. Faster and cheaper structured output could be a big deal for game dev! (twitter.com/HugoDuprez/status/2100953089003921543)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550512802370949150","story":"Generating levels in real time with Jev 😄\n\nPretty cool thing! It's just a buffed classifier at the end, but for games low latency and low costs are a big deal!\n\nhttps://x.com/HugoDuprez/status/2100953089003921543?s=20\n\nLinked projects:\n• Post by @HugoDuprez — Jev can generate game levels in real time. Faster and cheaper structured output could be a big deal for game dev! (x.com/HugoDuprez/status/2100953089003921543)\n• sf_jev.mp4 — video/mp4 · 2 MB (cdn.discordapp.com/attachments/1483217545040232493/1550512801963970651)\n• Post by @HugoDuprez — Jev can generate game levels in real time. Faster and cheaper structured output could be a big deal for game dev! (twitter.com/HugoDuprez/status/2100953089003921543)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550512802370949150","sourceHandle":"Hugo","sourceUrl":"https://x.com/HugoDuprez/status/2100953089003921543?s=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T14:24:19.220000+00:00","origins":["community"]},{"id":"submission:discord-1550511943716966430","title":"A typed-decision model was wired into five places in a Dungeons & Dragons co-DM.","category":"Work","prompt":null,"description":"https://iambraun.com/jevreports/co-dm/\n\nA typed-decision model was wired into five places in a Dungeons & Dragons co-DM. This is the measurement of whether it earns its place — against the code it replaces, and against a frontier model doing the same job.\n\nLinked projects:\n• Worth Asking — A benchmark of a typed-decision model against the code it replaces and against frontier models, on a D&D co-DM (iambraun.com/jevreports/co-dm)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550511943716966430","story":"https://iambraun.com/jevreports/co-dm/\n\nA typed-decision model was wired into five places in a Dungeons & Dragons co-DM. This is the measurement of whether it earns its place — against the code it replaces, and against a frontier model doing the same job.\n\nLinked projects:\n• Worth Asking — A benchmark of a typed-decision model against the code it replaces and against frontier models, on a D&D co-DM (iambraun.com/jevreports/co-dm)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550511943716966430","sourceHandle":"DGB@workflowtech.ai","sourceUrl":"https://iambraun.com/jevreports/co-dm/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T14:20:54.501000+00:00","origins":["community"]},{"id":"submission:discord-1550511736480604171","title":"Experimenting with how Jev can help in a coding harness.","category":"Evaluation","prompt":null,"description":"Experimenting with how Jev can help in a coding harness. Built a hybrid harness that defers all decision making to Jev, and use Astra for things it cannot do, and for code generation. Its probably also doable to have a lexicon/ast manipulation (think an LSP) that takes its instructions from Jev too, though would need benchmarks to see if its worth it.\n\nLinked projects:\n• image.png — image/png · 227 KB (cdn.discordapp.com/attachments/1483217545040232493/1550511736052912188)","story":"Experimenting with how Jev can help in a coding harness. Built a hybrid harness that defers all decision making to Jev, and use Astra for things it cannot do, and for code generation. Its probably also doable to have a lexicon/ast manipulation (think an LSP) that takes its instructions from Jev too, though would need benchmarks to see if its worth it.\n\nLinked projects:\n• image.png — image/png · 227 KB (cdn.discordapp.com/attachments/1483217545040232493/1550511736052912188)","sourceHandle":"Shados","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550511736480604171","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T14:20:05.092000+00:00","origins":["community"]},{"id":"submission:discord-1550511545736241153","title":"I’m building an AI-assisted chart-audit workflow for home-based care in Japan.","category":"Health","prompt":null,"description":"I’m building an AI-assisted chart-audit workflow for home-based care in Japan.\nOne task I’d like to test with Jev is: given a Japanese clinical note, classify whether there is a meaningful documentation gap or inconsistency, return calibrated confidence, and escalate uncertain cases to physician review.\nI’m especially interested in whether this can work reliably on real-world Japanese clinical text.\n\nHappy to share examples or a small synthetic test set if useful.","story":"I’m building an AI-assisted chart-audit workflow for home-based care in Japan.\nOne task I’d like to test with Jev is: given a Japanese clinical note, classify whether there is a meaningful documentation gap or inconsistency, return calibrated confidence, and escalate uncertain cases to physician review.\nI’m especially interested in whether this can work reliably on real-world Japanese clinical text.\n\nHappy to share examples or a small synthetic test set if useful.","sourceHandle":"八森　淳","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550511545736241153","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T14:19:19.615000+00:00","origins":["community"]},{"id":"submission:discord-1550509705913434223","title":"anyone else doing real-time zero-shot robotics (non-simulation)?","category":"Work","prompt":null,"description":"anyone else doing real-time zero-shot robotics (non-simulation)? https://x.com/zaidbul/status/2100949713138729135\n\nLinked projects:\n• Post by @zaidbul — have not seen anyone actually using Jev for robotics outside of a simulation, so here is Jev running with no policy, zero-shot controlling the robotic arm. @typesafeai @CompleteSkeptic (x.com/zaidbul/status/2100949713138729135)\n• 100597.mp4 — video/mp4 · 22 MB (cdn.discordapp.com/attachments/1483217545040232493/1550509703933595748)\n• Post by @zaidbul — have not seen anyone actually using Jev for robotics outside of a simulation, so here is Jev running with no policy, zero-shot controlling the robotic arm. @typesafeai @CompleteSkeptic (twitter.com/zaidbul/status/2100949713138729135)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550509705913434223","story":"anyone else doing real-time zero-shot robotics (non-simulation)? https://x.com/zaidbul/status/2100949713138729135\n\nLinked projects:\n• Post by @zaidbul — have not seen anyone actually using Jev for robotics outside of a simulation, so here is Jev running with no policy, zero-shot controlling the robotic arm. @typesafeai @CompleteSkeptic (x.com/zaidbul/status/2100949713138729135)\n• 100597.mp4 — video/mp4 · 22 MB (cdn.discordapp.com/attachments/1483217545040232493/1550509703933595748)\n• Post by @zaidbul — have not seen anyone actually using Jev for robotics outside of a simulation, so here is Jev running with no policy, zero-shot controlling the robotic arm. @typesafeai @CompleteSkeptic (twitter.com/zaidbul/status/2100949713138729135)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550509705913434223","sourceHandle":"human","sourceUrl":"https://x.com/zaidbul/status/2100949713138729135","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T14:12:00.967000+00:00","origins":["community"]},{"id":"submission:discord-1550509355454169098","title":"very excited to see Jev used more in gaming","category":"Work","prompt":null,"description":"https://x.com/dparksdev/status/2100949987571974537?s=46&t=mUFddqq8RWeTtOazjuUS6g\n\nvery excited to see Jev used more in gaming\n\nLinked projects:\n• Post by @dparksdev — My first experiment with Jev from @typesafeai. \"Playable\" video game NPCs. Tell one to explore, gather resources, or build a house. Override its directive and watch it change course. The NPC's next action choices and pro (x.com/dparksdev/status/2100949987571974537)\n• Post by @dparksdev — My first experiment with Jev from @typesafeai. \"Playable\" video game NPCs. Tell one to explore, gather resources, or build a house. Override its directive and watch it change course. The NPC's next action choices and pro (twitter.com/dparksdev/status/2100949987571974537)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550509355454169098","story":"https://x.com/dparksdev/status/2100949987571974537?s=46&t=mUFddqq8RWeTtOazjuUS6g\n\nvery excited to see Jev used more in gaming\n\nLinked projects:\n• Post by @dparksdev — My first experiment with Jev from @typesafeai. \"Playable\" video game NPCs. Tell one to explore, gather resources, or build a house. Override its directive and watch it change course. The NPC's next action choices and pro (x.com/dparksdev/status/2100949987571974537)\n• Post by @dparksdev — My first experiment with Jev from @typesafeai. \"Playable\" video game NPCs. Tell one to explore, gather resources, or build a house. Override its directive and watch it change course. The NPC's next action choices and pro (twitter.com/dparksdev/status/2100949987571974537)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550509355454169098","sourceHandle":"Cashed","sourceUrl":"https://x.com/dparksdev/status/2100949987571974537?s=46&t=mUFddqq8RWeTtOazjuUS6g","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T14:10:37.411000+00:00","origins":["community"]},{"id":"submission:discord-1550507383451553832","title":"Hey everyone! first day of experimenting w/ Jev - I built a small open-source project called Reaper: It’s","category":"Home","prompt":null,"description":"Hey everyone! first day of experimenting w/ Jev - I built a small open-source project called Reaper:\nhttps://github.com/Eliran-Turgeman/repear \n\nIt’s a semantic linter for coding agents. I currently add a short instruction to my  AGENTS.md , which asks the agent to run Reaper after its normal tests and linters. You can see the exact workflow here:\nhttps://github.com/Eliran-Turgeman/repear/blob/main/AGENTS.md\n\nIt’s still an early experiment, and I’m sure there’s plenty to improve especially around the rules, thresholds, and evaluations. Feedback is welcomed.\n\nLinked projects:\n• Eliran-Turgeman/repear — Semantic linter for AI coding agents and CI code review. Detects silent failures, weakened tests, scope creep, unnecessary abstractions, and other semantic code smells. - Eliran-Turgeman/reaper (github.com/Eliran-Turgeman/repear)\n• Eliran-Turgeman/repear — Semantic linter for AI coding agents and CI code review. Detects silent failures, weakened tests, scope creep, unnecessary abstractions, and other semantic code smells. - Eliran-Turgeman/reaper (github.com/Eliran-Turgeman/repear/blob/main/AGENTS.md)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550507383451553832","story":"Hey everyone! first day of experimenting w/ Jev - I built a small open-source project called Reaper:\nhttps://github.com/Eliran-Turgeman/repear \n\nIt’s a semantic linter for coding agents. I currently add a short instruction to my  AGENTS.md , which asks the agent to run Reaper after its normal tests and linters. You can see the exact workflow here:\nhttps://github.com/Eliran-Turgeman/repear/blob/main/AGENTS.md\n\nIt’s still an early experiment, and I’m sure there’s plenty to improve especially around the rules, thresholds, and evaluations. Feedback is welcomed.\n\nLinked projects:\n• Eliran-Turgeman/repear — Semantic linter for AI coding agents and CI code review. Detects silent failures, weakened tests, scope creep, unnecessary abstractions, and other semantic code smells. - Eliran-Turgeman/reaper (github.com/Eliran-Turgeman/repear)\n• Eliran-Turgeman/repear — Semantic linter for AI coding agents and CI code review. Detects silent failures, weakened tests, scope creep, unnecessary abstractions, and other semantic code smells. - Eliran-Turgeman/reaper (github.com/Eliran-Turgeman/repear/blob/main/AGENTS.md)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550507383451553832","sourceHandle":"Eliran","sourceUrl":"https://github.com/Eliran-Turgeman/repear","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T14:02:47.249000+00:00","origins":["community"]},{"id":"submission:discord-1550506090834173984","title":"ReadyBase v1.6.0 is out with support for JEV ReadyBase gives your Claude Code agent the context a senior engineer","category":"Evaluation","prompt":null,"description":"ReadyBase v1.6.0 is out with support for JEV\n\nReadyBase gives your Claude Code agent the context a senior engineer already has. Hooks fire automatically on every turn and every edit, injecting the minimum necessary context right into the agent's window:  blast radius before it touches a load-bearing file, co-change partners it might be forgetting, quality warnings on hot spots. No prompt engineering, fail-open by default.\n\nIt also watches for drift: learns your naming, structure, and error-handling conventions by consensus (not a style guide nobody reads) and flags AI-written code the moment it strays, before it piles up into a codebase that reads like a committee of strangers.\n\nOne local binary, no telemetry, network-free by default, verifiable with tcpdump. Ideas distilled (clean-room, no code copied) from 9 open-source projects (dependency-cruiser, madge, CodeGraph, Serena,grepai, Repomix, SCIP, gotreesitter, google/uuid) with\n\nLinked projects:\n• PromptForcePrime/readybase-public — Make your codebase ready for AI agents, with a score that says how ready. Local-first Go binary. A PromptForce.ai product. - PromptForcePrime/readybase-public (github.com/PromptForcePrime/readybase-public/releases/tag/v1.6.0)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550506090834173984","story":"ReadyBase v1.6.0 is out with support for JEV\n\nReadyBase gives your Claude Code agent the context a senior engineer already has. Hooks fire automatically on every turn and every edit, injecting the minimum necessary context right into the agent's window:  blast radius before it touches a load-bearing file, co-change partners it might be forgetting, quality warnings on hot spots. No prompt engineering, fail-open by default.\n\nIt also watches for drift: learns your naming, structure, and error-handling conventions by consensus (not a style guide nobody reads) and flags AI-written code the moment it strays, before it piles up into a codebase that reads like a committee of strangers.\n\nOne local binary, no telemetry, network-free by default, verifiable with tcpdump. Ideas distilled (clean-room, no code copied) from 9 open-source projects (dependency-cruiser, madge, CodeGraph, Serena,grepai, Repomix, SCIP, gotreesitter, google/uuid) with\n\nLinked projects:\n• PromptForcePrime/readybase-public — Make your codebase ready for AI agents, with a score that says how ready. Local-first Go binary. A PromptForce.ai product. - PromptForcePrime/readybase-public (github.com/PromptForcePrime/readybase-public/releases/tag/v1.6.0)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550506090834173984","sourceHandle":"PromptForcePrime","sourceUrl":"https://github.com/PromptForcePrime/readybase-public/releases/tag/v1.6.0","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T13:57:39.065000+00:00","origins":["community"]},{"id":"submission:discord-1550506055031595040","title":"Its best as a tool for other models or route between models e.g.","category":"Money","prompt":null,"description":"Its best as a tool for other models or route between models e.g.\nhttps://github.com/luantak/is-malicious/ will output its findings and their source code ranges, these can then be used by an agent to investigate further\n\nLinked projects:\n• luantak/is-malicious — A codebase scanner that helps you not run malicous code - luantak/is-malicious (github.com/luantak/is-malicious)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550506055031595040","story":"Its best as a tool for other models or route between models e.g.\nhttps://github.com/luantak/is-malicious/ will output its findings and their source code ranges, these can then be used by an agent to investigate further\n\nLinked projects:\n• luantak/is-malicious — A codebase scanner that helps you not run malicous code - luantak/is-malicious (github.com/luantak/is-malicious)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550506055031595040","sourceHandle":"Paul","sourceUrl":"https://github.com/luantak/is-malicious/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T13:57:30.529000+00:00","origins":["community"]},{"id":"submission:discord-1550505893005623397","title":"waitlist or use open router","category":"Work","prompt":null,"description":"waitlist or use open router https://openrouter.ai/typesafe/jev-1.13\n\nLinked projects:\n• Jev 1.13 - API Pricing & Providers — Jev is a structured decision model from TypeSafe, and the first of its System One models. $0.042 per million input tokens, $0 per million output tokens. 32,000 token context window. (openrouter.ai/typesafe/jev-1.13)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550505893005623397","story":"waitlist or use open router https://openrouter.ai/typesafe/jev-1.13\n\nLinked projects:\n• Jev 1.13 - API Pricing & Providers — Jev is a structured decision model from TypeSafe, and the first of its System One models. $0.042 per million input tokens, $0 per million output tokens. 32,000 token context window. (openrouter.ai/typesafe/jev-1.13)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550505893005623397","sourceHandle":"splitfire?","sourceUrl":"https://openrouter.ai/typesafe/jev-1.13","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T13:56:51.899000+00:00","origins":["community"]},{"id":"submission:discord-1550505016174059540","title":"Jev playing Tic Tac Toe on Elixir with Jido and ReqLLM","category":"Work","prompt":null,"description":"Jev playing Tic Tac Toe on Elixir with Jido and ReqLLM\n\nhttps://x.com/mikehostetler/status/2100946109308748079\n\nLinked projects:\n• Post by @mikehostetler — Jido Jev + ReqLLM playing Tic Tac Toe Each agent makes Jev calls to determine their next move, pretty fun! Now time to scale up ... (x.com/mikehostetler/status/2100946109308748079)\n• Post by @mikehostetler — Jido Jev + ReqLLM playing Tic Tac Toe Each agent makes Jev calls to determine their next move, pretty fun! Now time to scale up ... (twitter.com/mikehostetler/status/2100946109308748079)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550505016174059540","story":"Jev playing Tic Tac Toe on Elixir with Jido and ReqLLM\n\nhttps://x.com/mikehostetler/status/2100946109308748079\n\nLinked projects:\n• Post by @mikehostetler — Jido Jev + ReqLLM playing Tic Tac Toe Each agent makes Jev calls to determine their next move, pretty fun! Now time to scale up ... (x.com/mikehostetler/status/2100946109308748079)\n• Post by @mikehostetler — Jido Jev + ReqLLM playing Tic Tac Toe Each agent makes Jev calls to determine their next move, pretty fun! Now time to scale up ... (twitter.com/mikehostetler/status/2100946109308748079)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550505016174059540","sourceHandle":"mikehostetler","sourceUrl":"https://x.com/mikehostetler/status/2100946109308748079","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T13:53:22.846000+00:00","origins":["community"]},{"id":"submission:discord-1550504001458540575","title":"A codebase scanner that answers if a repository is obviously malicious with jev, also useful for filtering obviously","category":"Integrations","prompt":null,"description":"A codebase scanner that answers if a repository is obviously malicious with jev, also useful for filtering obviously malicous prs\n\nhttps://github.com/luantak/is-malicious/\n\nLinked projects:\n• luantak/is-malicious — A codebase scanner that helps you not run malicous code - luantak/is-malicious (github.com/luantak/is-malicious)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550504001458540575","story":"A codebase scanner that answers if a repository is obviously malicious with jev, also useful for filtering obviously malicous prs\n\nhttps://github.com/luantak/is-malicious/\n\nLinked projects:\n• luantak/is-malicious — A codebase scanner that helps you not run malicous code - luantak/is-malicious (github.com/luantak/is-malicious)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550504001458540575","sourceHandle":"Paul","sourceUrl":"https://github.com/luantak/is-malicious/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T13:49:20.919000+00:00","origins":["community"]},{"id":"submission:discord-1550500170888650752","title":"Built a chrome extension for poly market suggestions","category":"Integrations","prompt":null,"description":"Built a chrome extension for poly market suggestions\n\nhttps://github.com/svmanth/jmarket\n\nLinked projects:\n• svmanth/jmarket — Polymarket tells you what the crowd thinks. This tells you what Jev thinks. - svmanth/jmarket (github.com/svmanth/jmarket)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550500170888650752","story":"Built a chrome extension for poly market suggestions\n\nhttps://github.com/svmanth/jmarket\n\nLinked projects:\n• svmanth/jmarket — Polymarket tells you what the crowd thinks. This tells you what Jev thinks. - svmanth/jmarket (github.com/svmanth/jmarket)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550500170888650752","sourceHandle":"sumsie","sourceUrl":"https://github.com/svmanth/jmarket","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T13:34:07.640000+00:00","origins":["community"]},{"id":"submission:discord-1550499285647495330","title":"Thanks—this is very helpful!","category":"Home","prompt":null,"description":"Thanks—this is very helpful! Language support will definitely be important for us, since most of our process descriptions and operational issues are in Japanese.\n\nThe sensitivity to question framing is also an important point. We’d likely test multiple phrasings against the same set of cases to evaluate consistency before using the results in real workflows.\n\nDo you know whether Jev currently supports Japanese input, or whether translating the input into English first would be the recommended approach?","story":"Thanks—this is very helpful! Language support will definitely be important for us, since most of our process descriptions and operational issues are in Japanese.\n\nThe sensitivity to question framing is also an important point. We’d likely test multiple phrasings against the same set of cases to evaluate consistency before using the results in real workflows.\n\nDo you know whether Jev currently supports Japanese input, or whether translating the input into English first would be the recommended approach?","sourceHandle":"@takuya_mrvs","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550499285647495330","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T13:30:36.582000+00:00","origins":["community"]},{"id":"submission:discord-1550498740865863791","title":"Its meant for such workflows so it should help on classification, prioritization and routing.","category":"Work","prompt":null,"description":"Its meant for such workflows so it should help on classification, prioritization and routing. Two things to look into language support (as I recall its english only but I could be wrong) and how you frame your questions (its very sensitive to this aspect that how you ask can sway the probabilities of answers).","story":"Its meant for such workflows so it should help on classification, prioritization and routing. Two things to look into language support (as I recall its english only but I could be wrong) and how you frame your questions (its very sensitive to this aspect that how you ask can sway the probabilities of answers).","sourceHandle":"PromptForcePrime","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550498740865863791","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T13:28:26.696000+00:00","origins":["community"]},{"id":"submission:discord-1550498408144572446","title":"Jev is really interesting as a playtesting tool.","category":"Home","prompt":null,"description":"Jev is really interesting as a playtesting tool. (I think I'll also use it to classify playstyles of different human playtesters.)\nhttps://x.com/NicoSaraintaris/status/2100938146175152323\n\nLinked projects:\n• Post by @NicoSaraintaris — jev is insane 🤯 It played our RTS roulette game so well it exposed a balance bug (basically unloseable for the grindy, low-risk playstyle). Now even jev can lose lol. All tests cost less than a cent. Legit tool for play (x.com/NicoSaraintaris/status/2100938146175152323)\n• Post by @NicoSaraintaris — jev is insane 🤯 It played our RTS roulette game so well it exposed a balance bug (basically unloseable for the grindy, low-risk playstyle). Now even jev can lose lol. All tests cost less than a cent. Legit tool for play (twitter.com/NicoSaraintaris/status/2100938146175152323)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550498408144572446","story":"Jev is really interesting as a playtesting tool. (I think I'll also use it to classify playstyles of different human playtesters.)\nhttps://x.com/NicoSaraintaris/status/2100938146175152323\n\nLinked projects:\n• Post by @NicoSaraintaris — jev is insane 🤯 It played our RTS roulette game so well it exposed a balance bug (basically unloseable for the grindy, low-risk playstyle). Now even jev can lose lol. All tests cost less than a cent. Legit tool for play (x.com/NicoSaraintaris/status/2100938146175152323)\n• Post by @NicoSaraintaris — jev is insane 🤯 It played our RTS roulette game so well it exposed a balance bug (basically unloseable for the grindy, low-risk playstyle). Now even jev can lose lol. All tests cost less than a cent. Legit tool for play (twitter.com/NicoSaraintaris/status/2100938146175152323)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550498408144572446","sourceHandle":"NicoSaraintaris","sourceUrl":"https://x.com/NicoSaraintaris/status/2100938146175152323","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T13:27:07.369000+00:00","origins":["community"]},{"id":"submission:discord-1550497703858012172","title":"Hi everyone! I’d like to share a project we’re building in Japan called ConsultingAI. ConsultingAI turns interviews and","category":"Admin","prompt":null,"description":"Hi everyone! I’d like to share a project we’re building in Japan called ConsultingAI.\n\nConsultingAI turns interviews and business-process descriptions into structured process flows, helping organizations visualize their operations and identify opportunities for improvement and automation.\n\nIn one project, we used it to generate and analyze more than 500 business processes. I’m interested in exploring whether Jev could help us classify, prioritize, and route operational issues to the right improvement actions or AI agents—especially when the available information is incomplete or ambiguous.\n\nI’d love to hear any ideas or similar use cases from the community!","story":"Hi everyone! I’d like to share a project we’re building in Japan called ConsultingAI.\n\nConsultingAI turns interviews and business-process descriptions into structured process flows, helping organizations visualize their operations and identify opportunities for improvement and automation.\n\nIn one project, we used it to generate and analyze more than 500 business processes. I’m interested in exploring whether Jev could help us classify, prioritize, and route operational issues to the right improvement actions or AI agents—especially when the available information is incomplete or ambiguous.\n\nI’d love to hear any ideas or similar use cases from the community!","sourceHandle":"@takuya_mrvs","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550497703858012172","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T13:24:19.454000+00:00","origins":["community"]},{"id":"submission:discord-1550497066227208252","title":"cool! submit a PR in awesome-typesafe to add it alongside other languages community SDKs for typesafe","category":"Integrations","prompt":null,"description":"cool! submit a PR in awesome-typesafe to add it alongside other languages community SDKs for typesafe\n\nhttps://github.com/AbdelStark/awesome-typesafe\n\nLinked projects:\n• AbdelStark/awesome-typesafe — A curated list of official resources and community projects for TypeSafe, System One models, and Jev. - AbdelStark/awesome-typesafe (github.com/AbdelStark/awesome-typesafe)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550497066227208252","story":"cool! submit a PR in awesome-typesafe to add it alongside other languages community SDKs for typesafe\n\nhttps://github.com/AbdelStark/awesome-typesafe\n\nLinked projects:\n• AbdelStark/awesome-typesafe — A curated list of official resources and community projects for TypeSafe, System One models, and Jev. - AbdelStark/awesome-typesafe (github.com/AbdelStark/awesome-typesafe)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550497066227208252","sourceHandle":"abdel","sourceUrl":"https://github.com/AbdelStark/awesome-typesafe","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T13:21:47.431000+00:00","origins":["community"]},{"id":"submission:discord-1550494448436117594","title":"For my **Java** builders out there, I open sourced a community Java client sdk that mirrors the Python and TypeScript","category":"Integrations","prompt":null,"description":"For my **Java** builders out there, I open sourced a community Java client sdk that mirrors the Python and TypeScript sdks. (also includes a spring-boot-starter 😉 )\n\nhttps://github.com/Premo-Cloud/typesafe-sdk-java\n\nRuns on Java 17, only Jackson as a dependency.\n\nWould love to collab with a TypeSafer (<@231477872324378624> ?) to get this published in a official capacity.\n\nLinked projects:\n• Premo-Cloud/typesafe-sdk-java — Community Java client for the TypeSafe System One API (unofficial) - Premo-Cloud/typesafe-sdk-java (github.com/Premo-Cloud/typesafe-sdk-java)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550494448436117594","story":"For my **Java** builders out there, I open sourced a community Java client sdk that mirrors the Python and TypeScript sdks. (also includes a spring-boot-starter 😉 )\n\nhttps://github.com/Premo-Cloud/typesafe-sdk-java\n\nRuns on Java 17, only Jackson as a dependency.\n\nWould love to collab with a TypeSafer (<@231477872324378624> ?) to get this published in a official capacity.\n\nLinked projects:\n• Premo-Cloud/typesafe-sdk-java — Community Java client for the TypeSafe System One API (unofficial) - Premo-Cloud/typesafe-sdk-java (github.com/Premo-Cloud/typesafe-sdk-java)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550494448436117594","sourceHandle":"Garret P.","sourceUrl":"https://github.com/Premo-Cloud/typesafe-sdk-java","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T13:11:23.301000+00:00","origins":["community"]},{"id":"submission:discord-1550492717799178360","title":"alignment check 😬 actually really shocked at this lol","category":"Work","prompt":null,"description":"https://x.com/145k4/status/2100933101966758250?s=20\n\nalignment check 😬  actually really shocked at this lol\n\nLinked projects:\n• Post by @145k4 — i was curious if @typesafeai 's jev would make different judgements if you push a problem through a Choice vs. a Noul, so i ran it through a short series of trolley problems the only time they disagreed on judgement? dec (x.com/145k4/status/2100933101966758250)\n• Post by @145k4 — i was curious if @typesafeai 's jev would make different judgements if you push a problem through a Choice vs. a Noul, so i ran it through a short series of trolley problems the only time they disagreed on judgement? dec (twitter.com/145k4/status/2100933101966758250)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550492717799178360","story":"https://x.com/145k4/status/2100933101966758250?s=20\n\nalignment check 😬  actually really shocked at this lol\n\nLinked projects:\n• Post by @145k4 — i was curious if @typesafeai 's jev would make different judgements if you push a problem through a Choice vs. a Noul, so i ran it through a short series of trolley problems the only time they disagreed on judgement? dec (x.com/145k4/status/2100933101966758250)\n• Post by @145k4 — i was curious if @typesafeai 's jev would make different judgements if you push a problem through a Choice vs. a Noul, so i ran it through a short series of trolley problems the only time they disagreed on judgement? dec (twitter.com/145k4/status/2100933101966758250)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550492717799178360","sourceHandle":"alaska","sourceUrl":"https://x.com/145k4/status/2100933101966758250?s=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T13:04:30.685000+00:00","origins":["community"]},{"id":"submission:discord-1550492284284444682","title":"i made a daily game using jev!","category":"Fun","prompt":null,"description":"https://20questions.foxmoss.com/ i made a daily game using jev!\n\nLinked projects:\n• lonely 20 questions — a game for people with no friends (20questions.foxmoss.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550492284284444682","story":"https://20questions.foxmoss.com/ i made a daily game using jev!\n\nLinked projects:\n• lonely 20 questions — a game for people with no friends (20questions.foxmoss.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550492284284444682","sourceHandle":"foxmoss","sourceUrl":"https://20questions.foxmoss.com/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T13:02:47.327000+00:00","origins":["community"]},{"id":"submission:discord-1550492055334293525","title":"And [here the repo]( )","category":"Work","prompt":null,"description":"And [here the repo](https://gitlab.com/porky11/text-adventure)\n\nLinked projects:\n• Fabio Krapohl / text-adventure · GitLab — GitLab.com (gitlab.com/porky11/text-adventure)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550492055334293525","story":"And [here the repo](https://gitlab.com/porky11/text-adventure)\n\nLinked projects:\n• Fabio Krapohl / text-adventure · GitLab — GitLab.com (gitlab.com/porky11/text-adventure)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550492055334293525","sourceHandle":"p 🦊","sourceUrl":"https://gitlab.com/porky11/text-adventure","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T13:01:52.741000+00:00","origins":["community"]},{"id":"submission:discord-1550491868440035369","title":"I made some [text adventure]( ) using Jev.","category":"Fun","prompt":null,"description":"I made some [text adventure](https://text-adventure.p11c.xyz) using Jev.\n\nIt's like these old text adventures where you can go north/south/east/west, and look around.\nOnly specific actions are possible, but Jev is used to recognize what you want.\n\nSo there are mountains in the north, you can say \"go north\", but you can also say \"I walk to the mountains\" or something like that.\nAnd instead of \"look around\", you can say \"I have no idea where I am!\" or something.\n\nJust try saying things that seem possible. Maybe it's actually possible. I was surprised sometimes that I can just do things.\n\nIt's only a test. The complete story is AI generated, and I don't how big it is. I didn't test it for long. But it doesn't seem that big.\n\nEdit: Also Jev recognizes the language you are using, so by switching the language you use for replies, the game will also change language.\n\nLinked projects:\n• The Valley (text-adventure.p11c.xyz)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550491868440035369","story":"I made some [text adventure](https://text-adventure.p11c.xyz) using Jev.\n\nIt's like these old text adventures where you can go north/south/east/west, and look around.\nOnly specific actions are possible, but Jev is used to recognize what you want.\n\nSo there are mountains in the north, you can say \"go north\", but you can also say \"I walk to the mountains\" or something like that.\nAnd instead of \"look around\", you can say \"I have no idea where I am!\" or something.\n\nJust try saying things that seem possible. Maybe it's actually possible. I was surprised sometimes that I can just do things.\n\nIt's only a test. The complete story is AI generated, and I don't how big it is. I didn't test it for long. But it doesn't seem that big.\n\nEdit: Also Jev recognizes the language you are using, so by switching the language you use for replies, the game will also change language.\n\nLinked projects:\n• The Valley (text-adventure.p11c.xyz)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550491868440035369","sourceHandle":"p 🦊","sourceUrl":"https://text-adventure.p11c.xyz","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T13:01:08.182000+00:00","origins":["community"]},{"id":"submission:discord-1550488225280299068","title":"Built a little demo of using Jev to check against inefficient code evolution using standard agentic LLMs.","category":"Home","prompt":null,"description":"Built a little demo of using Jev to check against inefficient code evolution using standard agentic LLMs. How it works: a task involving programming happens as usual through codex, but edit tool_calls are intercepted, the code [edits] are statically analysed using fbinfer to obtain a work estimate differential and then a schema is prepared with instructions for Jev to classify at a fine-grained level the edits using the user-prompt and the code comments as well as the Infer runtime instrumentation output to score with respect to computational complexity, necessity for the requested change and accrual of poor architecture (the main failure antipattern is that as users request new features they are near-sightedly implemented in a way that makes the whole code inefficient because it doesn't trigger reappraisal of the architecture). If the classification is below some thresholds then an intervention is made with the Jev feedback and the\n\nLinked projects:\n• bund.tgz — application/x-tar · 5 MB (cdn.discordapp.com/attachments/1483217545040232493/1550488224760340630)","story":"Built a little demo of using Jev to check against inefficient code evolution using standard agentic LLMs. How it works: a task involving programming happens as usual through codex, but edit tool_calls are intercepted, the code [edits] are statically analysed using fbinfer to obtain a work estimate differential and then a schema is prepared with instructions for Jev to classify at a fine-grained level the edits using the user-prompt and the code comments as well as the Infer runtime instrumentation output to score with respect to computational complexity, necessity for the requested change and accrual of poor architecture (the main failure antipattern is that as users request new features they are near-sightedly implemented in a way that makes the whole code inefficient because it doesn't trigger reappraisal of the architecture). If the classification is below some thresholds then an intervention is made with the Jev feedback and the\n\nLinked projects:\n• bund.tgz — application/x-tar · 5 MB (cdn.discordapp.com/attachments/1483217545040232493/1550488224760340630)","sourceHandle":"xebulun","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550488225280299068","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T12:46:39.585000+00:00","origins":["community"]},{"id":"submission:discord-1550488211317329960","title":"yeah no I agree, it will need a lot of beforehand set up to work correctly, something with future support of","category":"Travel","prompt":null,"description":"yeah no I agree, it will need a lot of beforehand set up to work correctly, something with future support of multimodal inputs would be much easier. \n\nFor reference this is the demo that peaked my interest: https://github.com/browser-use/jev-ultrafast. A harness is deployed with a discrete action space and a discrete set of observations in a loop, with a final goal of finding a flight with certain params.\n\nLinked projects:\n• browser-use/jev-ultrafast — i. am. speed. Contribute to browser-use/jev-ultrafast development by creating an account on GitHub. (github.com/browser-use/jev-ultrafast)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550488211317329960","story":"yeah no I agree, it will need a lot of beforehand set up to work correctly, something with future support of multimodal inputs would be much easier. \n\nFor reference this is the demo that peaked my interest: https://github.com/browser-use/jev-ultrafast. A harness is deployed with a discrete action space and a discrete set of observations in a loop, with a final goal of finding a flight with certain params.\n\nLinked projects:\n• browser-use/jev-ultrafast — i. am. speed. Contribute to browser-use/jev-ultrafast development by creating an account on GitHub. (github.com/browser-use/jev-ultrafast)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550488211317329960","sourceHandle":"ABKDR","sourceUrl":"https://github.com/browser-use/jev-ultrafast","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T12:46:36.256000+00:00","origins":["community"]},{"id":"submission:discord-1550487041035477032","title":"can anyone help me with my website or give any reviews/suggestions","category":"Work","prompt":null,"description":"can anyone help me with my website or give any reviews/suggestions https://learnivia-green.vercel.app/\n\nLinked projects:\n• Learnivia — Free Peer-to-Peer Online Tutoring — Free 1-on-1 tutoring and interactive workshops led by high school and university peers. No subscriptions, zero fees. (learnivia-green.vercel.app)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550487041035477032","story":"can anyone help me with my website or give any reviews/suggestions https://learnivia-green.vercel.app/\n\nLinked projects:\n• Learnivia — Free Peer-to-Peer Online Tutoring — Free 1-on-1 tutoring and interactive workshops led by high school and university peers. No subscriptions, zero fees. (learnivia-green.vercel.app)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550487041035477032","sourceHandle":"Shourya Sharan","sourceUrl":"https://learnivia-green.vercel.app/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T12:41:57.239000+00:00","origins":["community"]},{"id":"submission:discord-1550486234512490546","title":"I used Jev as the dodging brain for a Terraria mod.","category":"Integrations","prompt":null,"description":"I used Jev as the dodging brain for a Terraria mod. It beat EVERY pre-hardmode boss on Master Mode.\nAny Terraria player will tell you that beating a Master Mode boss is no small feat. This one dodges on 9 intents from Jev at 5Hz, and code turns them into keystrokes.\n\nvideo: https://www.youtube.com/watch?v=g6CADbjBhlk\ngithub: https://github.com/Reisenbug/TerraBlind\n\nLinked projects:\n• Typesafe's Jev Beat EVERY Pre-Hardmode Boss in Terraria MASTER MODE — Project link: github.com/Reisenbug/TerraBlindWhat is system one model, or what is jev: typesafe.aiI have no relationship with this company but this model REA... (youtube.com/watch)\n• Reisenbug/TerraBlind — A Terraria tModLoader mod that plays the game with code: pathfinding, building and combat primitives wired into one pipeline that runs from a fresh world to killing the Wall of Flesh. - Reisenbug/T... (github.com/Reisenbug/TerraBlind)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550486234512490546","story":"I used Jev as the dodging brain for a Terraria mod. It beat EVERY pre-hardmode boss on Master Mode.\nAny Terraria player will tell you that beating a Master Mode boss is no small feat. This one dodges on 9 intents from Jev at 5Hz, and code turns them into keystrokes.\n\nvideo: https://www.youtube.com/watch?v=g6CADbjBhlk\ngithub: https://github.com/Reisenbug/TerraBlind\n\nLinked projects:\n• Typesafe's Jev Beat EVERY Pre-Hardmode Boss in Terraria MASTER MODE — Project link: github.com/Reisenbug/TerraBlindWhat is system one model, or what is jev: typesafe.aiI have no relationship with this company but this model REA... (youtube.com/watch)\n• Reisenbug/TerraBlind — A Terraria tModLoader mod that plays the game with code: pathfinding, building and combat primitives wired into one pipeline that runs from a fresh world to killing the Wall of Flesh. - Reisenbug/T... (github.com/Reisenbug/TerraBlind)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550486234512490546","sourceHandle":"stardust","sourceUrl":"https://github.com/Reisenbug/TerraBlind","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T12:38:44.949000+00:00","origins":["community"]},{"id":"submission:discord-1550479242716774462","title":"hey all, I'm planning on integrating Jev with my AI RP/choose-your-own-adventure platform < >.","category":"Home","prompt":null,"description":"hey all, I'm planning on integrating Jev with my AI RP/choose-your-own-adventure platform <https://stagewhisper.ai>. It already has lots of programmatic decisions under the hood that are currently LLM calls with structured outputs\n- does what the player want to do need a dice roll/challenge? if so what skill from the player's skills is accepted? and what conditional bonuses apply?\n- is the narrative pacing too fast or too slow?\n- did what just happened need a change in resource/relationship tracking?\n- did what the player want to do constitute NSFW content and require age verification?\n\nLinked projects:\n• Home — Stage Whisper is an AI-powered text-adventure platform. Create characters, build worlds, run campaigns at your own pace, from your phone or web so your story stays consistent and your choices actually matter (stagewhisper.ai)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550479242716774462","story":"hey all, I'm planning on integrating Jev with my AI RP/choose-your-own-adventure platform <https://stagewhisper.ai>. It already has lots of programmatic decisions under the hood that are currently LLM calls with structured outputs\n- does what the player want to do need a dice roll/challenge? if so what skill from the player's skills is accepted? and what conditional bonuses apply?\n- is the narrative pacing too fast or too slow?\n- did what just happened need a change in resource/relationship tracking?\n- did what the player want to do constitute NSFW content and require age verification?\n\nLinked projects:\n• Home — Stage Whisper is an AI-powered text-adventure platform. Create characters, build worlds, run campaigns at your own pace, from your phone or web so your story stays consistent and your choices actually matter (stagewhisper.ai)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550479242716774462","sourceHandle":"Xiaomin","sourceUrl":"https://stagewhisper.ai","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T12:10:57.975000+00:00","origins":["community"]},{"id":"submission:discord-1550476500267180042","title":"i made a website for your so you can ask jev about the next winning lottery numbers","category":"Work","prompt":null,"description":"https://lottowerk.purh.pw/ i made a website for your so you can ask jev about the next winning lottery numbers\n\nLinked projects:\n• LOTTOWERK — winning numbers, answered by Jev — Tell it how many numbers your lottery has. Jev, a model that answers typed questions instead of writing text, answers one question per ball. (lottowerk.purh.pw)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550476500267180042","story":"https://lottowerk.purh.pw/ i made a website for your so you can ask jev about the next winning lottery numbers\n\nLinked projects:\n• LOTTOWERK — winning numbers, answered by Jev — Tell it how many numbers your lottery has. Jev, a model that answers typed questions instead of writing text, answers one question per ball. (lottowerk.purh.pw)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550476500267180042","sourceHandle":"purhur","sourceUrl":"https://lottowerk.purh.pw/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T12:00:04.124000+00:00","origins":["community"]},{"id":"submission:discord-1550470783795593237","title":"I used Jev to power my Bookmark management App and got few more good ideas for use cases for this model","category":"Social","prompt":null,"description":"I used Jev to power my Bookmark management App and got few more good ideas for use cases for this model \n\nhttps://www.linkedin.com/feed/update/urn:li:activity:7506672882857574400/\n\nLinked projects:\n• #ai #copilotstudio #powerplatform #aiarchitecture #llm #automation #artificialintelligence #jev | Sebastian Sochacki — I’ve been experimenting with TypeSafe AI Jev recently, and I’m finding more and more interesting use cases for it. One of my latest projects is a custom bookmark management app I built for myself. It connects to my brows (linkedin.com/feed/update/urn:li:activity:7506672882857574400)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550470783795593237","story":"I used Jev to power my Bookmark management App and got few more good ideas for use cases for this model \n\nhttps://www.linkedin.com/feed/update/urn:li:activity:7506672882857574400/\n\nLinked projects:\n• #ai #copilotstudio #powerplatform #aiarchitecture #llm #automation #artificialintelligence #jev | Sebastian Sochacki — I’ve been experimenting with TypeSafe AI Jev recently, and I’m finding more and more interesting use cases for it. One of my latest projects is a custom bookmark management app I built for myself. It connects to my brows (linkedin.com/feed/update/urn:li:activity:7506672882857574400)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550470783795593237","sourceHandle":"Crazy5murf","sourceUrl":"https://www.linkedin.com/feed/update/urn:li:activity:7506672882857574400/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T11:37:21.211000+00:00","origins":["community"]},{"id":"submission:discord-1550469144346890331","title":"guys, this needs your attention I just figured out knowledge cutoff date for Jev!!","category":"Work","prompt":null,"description":"guys, this needs your attention\nI just figured out knowledge cutoff date for Jev!!\nIt is simple\n\nhttps://x.com/tawfeksraj/status/2100909752918180217?s=61&t=TFADXWS1ohIjhABKwP0oig\n\nLinked projects:\n• Post by @TawfekSraj — I figured out Jev knowledge cutoff date: It’s between 2024-07 2025-01 (x.com/tawfeksraj/status/2100909752918180217)\n• Post by @TawfekSraj — I figured out Jev knowledge cutoff date: It’s between 2024-07 2025-01 (twitter.com/tawfeksraj/status/2100909752918180217)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550469144346890331","story":"guys, this needs your attention\nI just figured out knowledge cutoff date for Jev!!\nIt is simple\n\nhttps://x.com/tawfeksraj/status/2100909752918180217?s=61&t=TFADXWS1ohIjhABKwP0oig\n\nLinked projects:\n• Post by @TawfekSraj — I figured out Jev knowledge cutoff date: It’s between 2024-07 2025-01 (x.com/tawfeksraj/status/2100909752918180217)\n• Post by @TawfekSraj — I figured out Jev knowledge cutoff date: It’s between 2024-07 2025-01 (twitter.com/tawfeksraj/status/2100909752918180217)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550469144346890331","sourceHandle":"Tawfek","sourceUrl":"https://x.com/tawfeksraj/status/2100909752918180217?s=61&t=TFADXWS1ohIjhABKwP0oig","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T11:30:50.336000+00:00","origins":["community"]},{"id":"submission:discord-1550468453184438312","title":"I am actively developing and updating \"aidd-practice-guide,\" an operational framework that brings software engineering","category":"Home","prompt":null,"description":"I am actively developing and updating \"aidd-practice-guide,\" an operational framework that brings software engineering and Agile/Scrum disciplines into the LLM coding workflow: https://github.com/mryo0826/aidd-practice-guideIt acts as an \"orthopedic cast\" (矯正ギブス) to control uncertainty and keep human developers in the loop as the final arbitrators. The project is under heavy, active development with daily updates (including my private worklogs).The docs are currently in Japanese, so please drop them into a translation tool (like DeepL or Chrome Translate) to read through. I’d love to get your feedback on how we can entirely bypass the messy text-chat layer by leveraging TypeSafe’s deterministic decisions.\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550468453184438312","story":"I am actively developing and updating \"aidd-practice-guide,\" an operational framework that brings software engineering and Agile/Scrum disciplines into the LLM coding workflow: https://github.com/mryo0826/aidd-practice-guideIt acts as an \"orthopedic cast\" (矯正ギブス) to control uncertainty and keep human developers in the loop as the final arbitrators. The project is under heavy, active development with daily updates (including my private worklogs).The docs are currently in Japanese, so please drop them into a translation tool (like DeepL or Chrome Translate) to read through. I’d love to get your feedback on how we can entirely bypass the messy text-chat layer by leveraging TypeSafe’s deterministic decisions.\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550468453184438312","sourceHandle":"mryo0826","sourceUrl":"https://github.com/mryo0826/aidd-practice-guideIt","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T11:28:05.550000+00:00","origins":["community"]},{"id":"submission:discord-1550467068279787560","title":"Put together a walkthrough and dynamic simulation u can tinker with showing when to use Jev before, after, or instead","category":"Social","prompt":null,"description":"https://protrailblazer.com/posts/\nPut together a walkthrough and dynamic simulation u can tinker with showing when to use Jev before, after, or instead of Claude Code.\n\nStarted posting examples and guides on X yesterday -  Follow for more: https://x.com/ProTrailblazer\n\nLinked projects:\n• Posts | Pro Trailblazer — Posts, guides, and insights from Pro Trailblazer. Deep dives on tools, strategy, and practice. (protrailblazer.com/posts)\n• Screenshot_2026-09-17_at_1.21.17_PM.jpg — image/jpeg · 356 KB (cdn.discordapp.com/attachments/1483217545040232493/1550467067222954104)\n• typesafe-after-claude-code.png — image/png · 345 KB (cdn.discordapp.com/attachments/1483217545040232493/1550467067726135446)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550467068279787560","story":"https://protrailblazer.com/posts/\nPut together a walkthrough and dynamic simulation u can tinker with showing when to use Jev before, after, or instead of Claude Code.\n\nStarted posting examples and guides on X yesterday -  Follow for more: https://x.com/ProTrailblazer\n\nLinked projects:\n• Posts | Pro Trailblazer — Posts, guides, and insights from Pro Trailblazer. Deep dives on tools, strategy, and practice. (protrailblazer.com/posts)\n• Screenshot_2026-09-17_at_1.21.17_PM.jpg — image/jpeg · 356 KB (cdn.discordapp.com/attachments/1483217545040232493/1550467067222954104)\n• typesafe-after-claude-code.png — image/png · 345 KB (cdn.discordapp.com/attachments/1483217545040232493/1550467067726135446)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550467068279787560","sourceHandle":"3200.Pro","sourceUrl":"https://protrailblazer.com/posts/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T11:22:35.363000+00:00","origins":["community"]},{"id":"submission:discord-1550462639425978400","title":"Spent a day building tenet, a review gate for code that agents write.","category":"Travel","prompt":null,"description":"Spent a day building tenet, a review gate for code that agents write. It judges each commit, commit message and PR against rules written in plain English, using Jev.\n\nThe rules come from poteto's unslop skill, hvpandya's stop-slop, dillon_mulroy's anti-slop and mattpocockuk's new /pr skill. It also generates rules from your AGENTS.md or CLAUDE.md, and you can write your own rules and presets.\n\nHere an agent trips four of them, gets blocked in 1.07 s for $0.0003, and fixes its own findings.\n\nhttps://github.com/zoidsh/tenetlint\n\nLinked projects:\n• zoidsh/tenetlint — The review gate for code that agents write: rules in plain language, judged on every commit - zoidsh/tenet (github.com/zoidsh/tenetlint)\n• EhJRxt-nMp6WJaGA.mp4 — video/mp4 · 6 MB (cdn.discordapp.com/attachments/1483217545040232493/1550462638809554944)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550462639425978400","story":"Spent a day building tenet, a review gate for code that agents write. It judges each commit, commit message and PR against rules written in plain English, using Jev.\n\nThe rules come from poteto's unslop skill, hvpandya's stop-slop, dillon_mulroy's anti-slop and mattpocockuk's new /pr skill. It also generates rules from your AGENTS.md or CLAUDE.md, and you can write your own rules and presets.\n\nHere an agent trips four of them, gets blocked in 1.07 s for $0.0003, and fixes its own findings.\n\nhttps://github.com/zoidsh/tenetlint\n\nLinked projects:\n• zoidsh/tenetlint — The review gate for code that agents write: rules in plain language, judged on every commit - zoidsh/tenet (github.com/zoidsh/tenetlint)\n• EhJRxt-nMp6WJaGA.mp4 — video/mp4 · 6 MB (cdn.discordapp.com/attachments/1483217545040232493/1550462638809554944)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550462639425978400","sourceHandle":"timche","sourceUrl":"https://github.com/zoidsh/tenetlint","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T11:04:59.442000+00:00","origins":["community"]},{"id":"submission:discord-1550459747142991903","title":"for anyone trying to start off with jev, this should help (you can point your agent at it, it should be able to use","category":"Integrations","prompt":null,"description":"for anyone trying to start off with jev, this should help (you can point your agent at it, it should be able to use these to help make better decisionswhen making use of jev itself)\n\nthere is a video in the twitter post\n\nhttps://fixupx.com/ezbaze_/status/2100899085700026410\nhttps://github.com/Ezbaze/jevies\n\nLinked projects:\n• Post by @ezbaze_ — who checks the Jev? more Jevs! :D you shouldn't have to make decisions that Jev can make to help set itself up! https://x.com/CompleteSkeptic/status/2099925682726002904 (fixupx.com/ezbaze_/status/2100899085700026410)\n• Ezbaze/jevies — little Jevs helping design and review other Jevs. Contribute to Ezbaze/jevies development by creating an account on GitHub. (github.com/Ezbaze/jevies)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550459747142991903","story":"for anyone trying to start off with jev, this should help (you can point your agent at it, it should be able to use these to help make better decisionswhen making use of jev itself)\n\nthere is a video in the twitter post\n\nhttps://fixupx.com/ezbaze_/status/2100899085700026410\nhttps://github.com/Ezbaze/jevies\n\nLinked projects:\n• Post by @ezbaze_ — who checks the Jev? more Jevs! :D you shouldn't have to make decisions that Jev can make to help set itself up! https://x.com/CompleteSkeptic/status/2099925682726002904 (fixupx.com/ezbaze_/status/2100899085700026410)\n• Ezbaze/jevies — little Jevs helping design and review other Jevs. Contribute to Ezbaze/jevies development by creating an account on GitHub. (github.com/Ezbaze/jevies)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550459747142991903","sourceHandle":"Ezbaze","sourceUrl":"https://github.com/Ezbaze/jevies","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T10:53:29.868000+00:00","origins":["community"]},{"id":"submission:discord-1550459292598149240","title":"I put Jev to use in an example for \"graph navigation\" (inspired by the wikilinks demo) - connect to existing neo4j","category":"Integrations","prompt":null,"description":"I put Jev to use in an example for \"graph navigation\" (inspired by the wikilinks demo)\n- connect to existing neo4j database\n- starting point \n- give a goal (target node, general isntructions, or path intent)\n- have Jev see each relationship + neighbor via Choice and give probabilities for following them\n- pick the top one(s), repeat, check with a boolean/noul if goal is reached\n- repo https://github.com/jexp/neo4jev (w/ code, jupyter, streamlit)\n\nLinked projects:\n• jexp/neo4jev — Typesafe.ai System One Model Jev navigating a Neo4j graph by using a classifier over neighbouring relationships - jexp/neo4jev (github.com/jexp/neo4jev)\n• neo4jev-graph-navigation-streamlit.png — image/png · 2 MB (cdn.discordapp.com/attachments/1483217545040232493/1550459292111478784)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550459292598149240","story":"I put Jev to use in an example for \"graph navigation\" (inspired by the wikilinks demo)\n- connect to existing neo4j database\n- starting point \n- give a goal (target node, general isntructions, or path intent)\n- have Jev see each relationship + neighbor via Choice and give probabilities for following them\n- pick the top one(s), repeat, check with a boolean/noul if goal is reached\n- repo https://github.com/jexp/neo4jev (w/ code, jupyter, streamlit)\n\nLinked projects:\n• jexp/neo4jev — Typesafe.ai System One Model Jev navigating a Neo4j graph by using a classifier over neighbouring relationships - jexp/neo4jev (github.com/jexp/neo4jev)\n• neo4jev-graph-navigation-streamlit.png — image/png · 2 MB (cdn.discordapp.com/attachments/1483217545040232493/1550459292111478784)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550459292598149240","sourceHandle":"Mesirii","sourceUrl":"https://github.com/jexp/neo4jev","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T10:51:41.496000+00:00","origins":["community"]},{"id":"submission:discord-1550458365652635709","title":"Hey guys, glad to be here!!!!","category":"Evaluation","prompt":null,"description":"Hey guys, glad to be here!!!!\n\nI’m a master's student at UEM (Maringá/PR, Brazil), and for our Software Quality class, my team and I are writing a paper comparing code vulnerabilities introduced by LLMs versus those written by humans. Alongside our literature review, we are building a tool to automate this comparative analysis. I’m very interested in including Jev in our benchmarks, but we’re on an extremely tight deadline (around a month) to wrap up our results.","story":"Hey guys, glad to be here!!!!\n\nI’m a master's student at UEM (Maringá/PR, Brazil), and for our Software Quality class, my team and I are writing a paper comparing code vulnerabilities introduced by LLMs versus those written by humans. Alongside our literature review, we are building a tool to automate this comparative analysis. I’m very interested in including Jev in our benchmarks, but we’re on an extremely tight deadline (around a month) to wrap up our results.","sourceHandle":"lucianoalberti","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550458365652635709","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T10:48:00.495000+00:00","origins":["community"]},{"id":"submission:discord-1550457054035185734","title":"launching chrome extension for polymarket to tell you what Jev thinks about the bet","category":"Work","prompt":null,"description":"launching chrome extension for polymarket to tell you what Jev thinks about the bet\n\nLinked projects:\n• image.png — image/png · 730 KB (cdn.discordapp.com/attachments/1483217545040232493/1550457053565427743)","story":"launching chrome extension for polymarket to tell you what Jev thinks about the bet\n\nLinked projects:\n• image.png — image/png · 730 KB (cdn.discordapp.com/attachments/1483217545040232493/1550457053565427743)","sourceHandle":"sumsie","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550457054035185734","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T10:42:47.781000+00:00","origins":["community"]},{"id":"submission:discord-1550456196799004714","title":"guy check out","category":"Work","prompt":null,"description":"guy check out https://jevtypesafe.vercel.app/\nhttps://x.com/MarisFilius/status/2100894797997523400?s=20\n\nLinked projects:\n• Jev Playground — Give Jev a messy real-world input. It turns it into fast, typed judgments that application code can use. (jevtypesafe.vercel.app)\n• Post by @MarisFilius — Building something experimental with @typesafeai. Give Jev a messy request. It turns it into a judgment your software can actually use. https://jevtypesafe.vercel.app/ Less chatbot. More AI primitive thanks to @CompleteS (x.com/MarisFilius/status/2100894797997523400)\n• Post by @MarisFilius — Building something experimental with @typesafeai. Give Jev a messy request. It turns it into a judgment your software can actually use. https://jevtypesafe.vercel.app/ Less chatbot. More AI primitive thanks to @CompleteS (twitter.com/MarisFilius/status/2100894797997523400)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550456196799004714","story":"guy check out https://jevtypesafe.vercel.app/\nhttps://x.com/MarisFilius/status/2100894797997523400?s=20\n\nLinked projects:\n• Jev Playground — Give Jev a messy real-world input. It turns it into fast, typed judgments that application code can use. (jevtypesafe.vercel.app)\n• Post by @MarisFilius — Building something experimental with @typesafeai. Give Jev a messy request. It turns it into a judgment your software can actually use. https://jevtypesafe.vercel.app/ Less chatbot. More AI primitive thanks to @CompleteS (x.com/MarisFilius/status/2100894797997523400)\n• Post by @MarisFilius — Building something experimental with @typesafeai. Give Jev a messy request. It turns it into a judgment your software can actually use. https://jevtypesafe.vercel.app/ Less chatbot. More AI primitive thanks to @CompleteS (twitter.com/MarisFilius/status/2100894797997523400)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550456196799004714","sourceHandle":"Maris","sourceUrl":"https://x.com/MarisFilius/status/2100894797997523400?s=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T10:39:23.400000+00:00","origins":["community"]},{"id":"submission:discord-1550455247976267798","title":"exploring Jev for work - large-ish late-stage startup ~1k employees.","category":"Admin","prompt":null,"description":"exploring Jev for work - large-ish late-stage startup ~1k employees.\n\ncurious to see how Jev handles technical domain-specific choices 🤔 \n\ne.g. I have Gemini 3.5 Flash lite hooked up to a classification rubric won through evals for a business-specific use case, veeeeery curious to see the comparative on how Jev performs.\n\nAnyone else have anecdotes about plugging Jev into B2B enterprise SaaS?","story":"exploring Jev for work - large-ish late-stage startup ~1k employees.\n\ncurious to see how Jev handles technical domain-specific choices 🤔 \n\ne.g. I have Gemini 3.5 Flash lite hooked up to a classification rubric won through evals for a business-specific use case, veeeeery curious to see the comparative on how Jev performs.\n\nAnyone else have anecdotes about plugging Jev into B2B enterprise SaaS?","sourceHandle":"j","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550455247976267798","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T10:35:37.183000+00:00","origins":["community"]},{"id":"submission:discord-1550454874733551636","title":"heres my website with the stuff im building.","category":"Integrations","prompt":null,"description":"heres my website with the stuff im building. my main focus has been developing and using my custom agentic os I call Data: Dashboard for Analytical Thought and Action. Its free and open source on github. I will be integrating JEV asap https://magimatix.com/ and https://github.com/huntermixhunter/D.A.T.A\n\nLinked projects:\n• Magimatix | AI Automations & Web Design — AI automations and premium websites that transform your business. Modern, high-performance digital experiences crafted with precision. (magimatix.com)\n• huntermixhunter/D.A.T.A — D.A.T.A — Dashboard for Analytical Thought and Action. Self-hosted, local-first AI operations dashboard with a crew of specialist agents. - huntermixhunter/D.A.T.A (github.com/huntermixhunter/D.A.T.A)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550454874733551636","story":"heres my website with the stuff im building. my main focus has been developing and using my custom agentic os I call Data: Dashboard for Analytical Thought and Action. Its free and open source on github. I will be integrating JEV asap https://magimatix.com/ and https://github.com/huntermixhunter/D.A.T.A\n\nLinked projects:\n• Magimatix | AI Automations & Web Design — AI automations and premium websites that transform your business. Modern, high-performance digital experiences crafted with precision. (magimatix.com)\n• huntermixhunter/D.A.T.A — D.A.T.A — Dashboard for Analytical Thought and Action. Self-hosted, local-first AI operations dashboard with a crew of specialist agents. - huntermixhunter/D.A.T.A (github.com/huntermixhunter/D.A.T.A)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550454874733551636","sourceHandle":"Hunter","sourceUrl":"https://github.com/huntermixhunter/D.A.T.A","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T10:34:08.195000+00:00","origins":["community"]},{"id":"submission:discord-1550450381023084677","title":"any support appreciated.","category":"Evaluation","prompt":null,"description":"https://x.com/CodingDevTools/status/2100882968688357706 any support appreciated. Will be doing benchmarks for typesafe also 🙂\n\nLinked projects:\n• Post by @CodingDevTools — I’m building a public benchmark series for #AI coding CLIs. First 776 paired runs: @CommandCodeAI vs @opencode on Meta Muse Contributor 1.2 + 1.3. Matched tasks, paired runs, multiple campaign types. Full results with 6  (x.com/CodingDevTools/status/2100882968688357706)\n• Post by @CodingDevTools — I’m building a public benchmark series for #AI coding CLIs. First 776 paired runs: @CommandCodeAI vs @opencode on Meta Muse Contributor 1.2 + 1.3. Matched tasks, paired runs, multiple campaign types. Full results with 6  (twitter.com/CodingDevTools/status/2100882968688357706)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550450381023084677","story":"https://x.com/CodingDevTools/status/2100882968688357706 any support appreciated. Will be doing benchmarks for typesafe also 🙂\n\nLinked projects:\n• Post by @CodingDevTools — I’m building a public benchmark series for #AI coding CLIs. First 776 paired runs: @CommandCodeAI vs @opencode on Meta Muse Contributor 1.2 + 1.3. Matched tasks, paired runs, multiple campaign types. Full results with 6  (x.com/CodingDevTools/status/2100882968688357706)\n• Post by @CodingDevTools — I’m building a public benchmark series for #AI coding CLIs. First 776 paired runs: @CommandCodeAI vs @opencode on Meta Muse Contributor 1.2 + 1.3. Matched tasks, paired runs, multiple campaign types. Full results with 6  (twitter.com/CodingDevTools/status/2100882968688357706)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550450381023084677","sourceHandle":"Jaixii","sourceUrl":"https://x.com/CodingDevTools/status/2100882968688357706","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T10:16:16.811000+00:00","origins":["community"]},{"id":"submission:discord-1550446836786143255","title":"I plugged Jev to my CARLA simulator to see how it can drive in realtime; it is a very harsh drive as expected, but","category":"Evaluation","prompt":null,"description":"I plugged Jev to my CARLA simulator to see how it can drive in realtime; it is a very harsh drive as expected, but this was mostly to test the response time for real time applications...\n\nLinked projects:\n• jev_v2_live.mp4 — video/mp4 · 49 MB (cdn.discordapp.com/attachments/1483217545040232493/1550446833292279818)","story":"I plugged Jev to my CARLA simulator to see how it can drive in realtime; it is a very harsh drive as expected, but this was mostly to test the response time for real time applications...\n\nLinked projects:\n• jev_v2_live.mp4 — video/mp4 · 49 MB (cdn.discordapp.com/attachments/1483217545040232493/1550446833292279818)","sourceHandle":"jmsalash","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550446836786143255","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T10:02:11.799000+00:00","origins":["community"]},{"id":"submission:discord-1550440827673640980","title":"A little update on Jev's poker playing capabilities...","category":"Money","prompt":null,"description":"A little update on Jev's poker playing capabilities... he/she/it/they have gone from a buy in of $1,000 to now having around $29k (won more just after I took this screenshot) a real shame this is not real money!\n\nLinked projects:\n• image.png — image/png · 261 KB (cdn.discordapp.com/attachments/1483217545040232493/1550440827287904296)","story":"A little update on Jev's poker playing capabilities... he/she/it/they have gone from a buy in of $1,000 to now having around $29k (won more just after I took this screenshot) a real shame this is not real money!\n\nLinked projects:\n• image.png — image/png · 261 KB (cdn.discordapp.com/attachments/1483217545040232493/1550440827287904296)","sourceHandle":"AccidentallySober","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550440827673640980","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T09:38:19.115000+00:00","origins":["community"]},{"id":"submission:discord-1550437853081632860","title":"First AI memory system with TypeSafe implemented?","category":"Evaluation","prompt":null,"description":"First AI memory system with TypeSafe implemented? Retrieval times dropped from several seconds to under 1000ms https://www.npmjs.com/package/@bitwarelabs/bwmem\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550437853081632860","story":"First AI memory system with TypeSafe implemented? Retrieval times dropped from several seconds to under 1000ms https://www.npmjs.com/package/@bitwarelabs/bwmem\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550437853081632860","sourceHandle":"Henke","sourceUrl":"https://www.npmjs.com/package/@bitwarelabs/bwmem","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T09:26:29.917000+00:00","origins":["community"]},{"id":"submission:discord-1550436893664092170","title":"TypeSafe released a new model for decision making.","category":"Fun","prompt":null,"description":"TypeSafe released a new model for decision making.\n\nYou still have to build your own adaptor to integrate it into your existing workflow, so I made an open source bridge that works through ACP and MCP!\nhttps://github.com/gamesonrblx/Jevbridge\n\nLinked projects:\n• gamesonrblx/Jevbridge — ACP and MCP adapter that bridges TypeSafe Jev with any LLM — computer use and typed decisions alongside Codex, Claude, Grok, and OpenCode. - gamesonrblx/Jevbridge (github.com/gamesonrblx/Jevbridge)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550436893664092170","story":"TypeSafe released a new model for decision making.\n\nYou still have to build your own adaptor to integrate it into your existing workflow, so I made an open source bridge that works through ACP and MCP!\nhttps://github.com/gamesonrblx/Jevbridge\n\nLinked projects:\n• gamesonrblx/Jevbridge — ACP and MCP adapter that bridges TypeSafe Jev with any LLM — computer use and typed decisions alongside Codex, Claude, Grok, and OpenCode. - gamesonrblx/Jevbridge (github.com/gamesonrblx/Jevbridge)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550436893664092170","sourceHandle":"Gameson","sourceUrl":"https://github.com/gamesonrblx/Jevbridge","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T09:22:41.174000+00:00","origins":["community"]},{"id":"submission:discord-1550434272450707466","title":"I wrote down my thoughts on Jev.","category":"Work","prompt":null,"description":"https://madppiper.substack.com/p/my-thoughts-on-jev-after-the-private\n\nI wrote down my thoughts on Jev. In short: it is a fantastic model and I am soooo glad that you guys from typesafeai are doing this. It is exactly what the market needs and such a joy to play aroun with.\n\nLinked projects:\n• My Thoughts on Jev, after the Private Beta — Meet Jev, a new “System One” model. It is an incredible cheap, fast llm, built for only one purpose, to judge. (madppiper.substack.com/p/my-thoughts-on-jev-after-the-private)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550434272450707466","story":"https://madppiper.substack.com/p/my-thoughts-on-jev-after-the-private\n\nI wrote down my thoughts on Jev. In short: it is a fantastic model and I am soooo glad that you guys from typesafeai are doing this. It is exactly what the market needs and such a joy to play aroun with.\n\nLinked projects:\n• My Thoughts on Jev, after the Private Beta — Meet Jev, a new “System One” model. It is an incredible cheap, fast llm, built for only one purpose, to judge. (madppiper.substack.com/p/my-thoughts-on-jev-after-the-private)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550434272450707466","sourceHandle":"madppiper","sourceUrl":"https://madppiper.substack.com/p/my-thoughts-on-jev-after-the-private","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T09:12:16.228000+00:00","origins":["community"]},{"id":"submission:discord-1550433570290536578","title":"Jev-assisted context compaction in the kamchatka agent:","category":"Integrations","prompt":null,"description":"Jev-assisted context compaction in the kamchatka agent: https://github.com/ljedrz/nachalnik/blob/master/kamchatka/examples/jev_assisted_compaction.rs\n\nLinked projects:\n• ljedrz/nachalnik — A transparent agent runtime in Rust: context, tools, permissions and requests as explicit state. Plus an MCP bridge and a terminal agent. - ljedrz/nachalnik (github.com/ljedrz/nachalnik/blob/master/kamchatka/examples/jev_assiste)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550433570290536578","story":"Jev-assisted context compaction in the kamchatka agent: https://github.com/ljedrz/nachalnik/blob/master/kamchatka/examples/jev_assisted_compaction.rs\n\nLinked projects:\n• ljedrz/nachalnik — A transparent agent runtime in Rust: context, tools, permissions and requests as explicit state. Plus an MCP bridge and a terminal agent. - ljedrz/nachalnik (github.com/ljedrz/nachalnik/blob/master/kamchatka/examples/jev_assiste)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550433570290536578","sourceHandle":"ljedrz","sourceUrl":"https://github.com/ljedrz/nachalnik/blob/master/kamchatka/examples/jev_assisted_compaction.rs","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T09:09:28.820000+00:00","origins":["community"]},{"id":"submission:discord-1550430223739265055","title":"Ad research tool for marketers: pulls any advertiser's video ads from Meta and splits each into shots.","category":"Evaluation","prompt":null,"description":"Ad research tool for marketers: pulls any advertiser's video ads from Meta and splits each into shots. Jev scores every shot and gives the ad a final rating out of 100.\n\nhttps://x.com/vladdubchak_x/status/2100870244004683886?s=20\n\nLinked projects:\n• Post by @vladdubchak_x — Jev is insane for ad research. I built a tool that scores every shot of any video ad on meta in 1.5 seconds. It runs on Maxfusion + @typesafeai I pushed 450+ ads through it in less than 3 minutes. It pulls any advertiser (x.com/vladdubchak_x/status/2100870244004683886)\n• Post by @vladdubchak_x — Jev is insane for ad research. I built a tool that scores every shot of any video ad on meta in 1.5 seconds. It runs on Maxfusion + @typesafeai I pushed 450+ ads through it in less than 3 minutes. It pulls any advertiser (twitter.com/vladdubchak_x/status/2100870244004683886)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550430223739265055","story":"Ad research tool for marketers: pulls any advertiser's video ads from Meta and splits each into shots. Jev scores every shot and gives the ad a final rating out of 100.\n\nhttps://x.com/vladdubchak_x/status/2100870244004683886?s=20\n\nLinked projects:\n• Post by @vladdubchak_x — Jev is insane for ad research. I built a tool that scores every shot of any video ad on meta in 1.5 seconds. It runs on Maxfusion + @typesafeai I pushed 450+ ads through it in less than 3 minutes. It pulls any advertiser (x.com/vladdubchak_x/status/2100870244004683886)\n• Post by @vladdubchak_x — Jev is insane for ad research. I built a tool that scores every shot of any video ad on meta in 1.5 seconds. It runs on Maxfusion + @typesafeai I pushed 450+ ads through it in less than 3 minutes. It pulls any advertiser (twitter.com/vladdubchak_x/status/2100870244004683886)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550430223739265055","sourceHandle":"invincible","sourceUrl":"https://x.com/vladdubchak_x/status/2100870244004683886?s=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T08:56:10.940000+00:00","origins":["community"]},{"id":"submission:discord-1550427590173659146","title":"Here is jev on Dowse a terminal ui (tui) that helps you make quick browser searches.","category":"Integrations","prompt":null,"description":"Here is jev on Dowse a terminal ui (tui) that helps you make quick browser searches.\n\nSearch for anything, it is ranked by Jev then passed on to your LLM (i.e., gemini) to get the most accurate AI summary and citations for your quick browser searches in terminal\n\ngithub.com/arttivhq/dowse\nmise: mise use ubi:arttivhq/dowse\nnpm: npm i -g @arttiv/dowse\n\nhttps://x.com/felixnjenga_/status/2100704201797939569\n\nLinked projects:\n• Post by @felixnjenga_ — Dowse is a terminal-native web browser + answer engine. Search the web, read pages, follow links and generate cited answers — without leaving your terminal. I’ve added @typesafeai @CompleteSkeptic Jev as an opt-in System (x.com/felixnjenga_/status/2100704201797939569)\n• jev-on-dowse.mp4 — video/mp4 · 2 MB (cdn.discordapp.com/attachments/1483217545040232493/1550427589775069254)\n• Post by @felixnjenga_ — Dowse is a terminal-native web browser + answer engine. Search the web, read pages, follow links and generate cited answers — without leaving your terminal. I’ve added @typesafeai @CompleteSkeptic Jev as an opt-in System (twitter.com/felixnjenga_/status/2100704201797939569)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550427590173659146","story":"Here is jev on Dowse a terminal ui (tui) that helps you make quick browser searches.\n\nSearch for anything, it is ranked by Jev then passed on to your LLM (i.e., gemini) to get the most accurate AI summary and citations for your quick browser searches in terminal\n\ngithub.com/arttivhq/dowse\nmise: mise use ubi:arttivhq/dowse\nnpm: npm i -g @arttiv/dowse\n\nhttps://x.com/felixnjenga_/status/2100704201797939569\n\nLinked projects:\n• Post by @felixnjenga_ — Dowse is a terminal-native web browser + answer engine. Search the web, read pages, follow links and generate cited answers — without leaving your terminal. I’ve added @typesafeai @CompleteSkeptic Jev as an opt-in System (x.com/felixnjenga_/status/2100704201797939569)\n• jev-on-dowse.mp4 — video/mp4 · 2 MB (cdn.discordapp.com/attachments/1483217545040232493/1550427589775069254)\n• Post by @felixnjenga_ — Dowse is a terminal-native web browser + answer engine. Search the web, read pages, follow links and generate cited answers — without leaving your terminal. I’ve added @typesafeai @CompleteSkeptic Jev as an opt-in System (twitter.com/felixnjenga_/status/2100704201797939569)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550427590173659146","sourceHandle":"felixnjenga","sourceUrl":"https://x.com/felixnjenga_/status/2100704201797939569","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T08:45:43.049000+00:00","origins":["community"]},{"id":"submission:discord-1550425426906710016","title":"Fully automated systems.","category":"Money","prompt":null,"description":"Fully automated systems. For Money making. turning game currency into Real money.\n\nLinked projects:\n• image.png — image/png · 2 MB (cdn.discordapp.com/attachments/1483217545040232493/1550425426478768238)","story":"Fully automated systems. For Money making. turning game currency into Real money.\n\nLinked projects:\n• image.png — image/png · 2 MB (cdn.discordapp.com/attachments/1483217545040232493/1550425426478768238)","sourceHandle":"ETHAN WORK","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550425426906710016","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T08:37:07.286000+00:00","origins":["community"]},{"id":"submission:discord-1550424914404573277","title":"just got access to Jev and made a naruto-themed street fighter game","category":"Fun","prompt":null,"description":"just got access to Jev and made a naruto-themed street fighter game\n\nhttps://x.com/kj4dh4v/status/2100863245351539185?s=20\n\nLinked projects:\n• Post by @kj4dh4v — made a Naruto-themed street fighter game and played against @typesafeai’s Jev it made ~130 decisions in a 50s fight, barely registered any usage, and came very close to beating me. very impressed by its reaction time and (x.com/kj4dh4v/status/2100863245351539185)\n• Post by @kj4dh4v — made a Naruto-themed street fighter game and played against @typesafeai’s Jev it made ~130 decisions in a 50s fight, barely registered any usage, and came very close to beating me. very impressed by its reaction time and (twitter.com/kj4dh4v/status/2100863245351539185)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550424914404573277","story":"just got access to Jev and made a naruto-themed street fighter game\n\nhttps://x.com/kj4dh4v/status/2100863245351539185?s=20\n\nLinked projects:\n• Post by @kj4dh4v — made a Naruto-themed street fighter game and played against @typesafeai’s Jev it made ~130 decisions in a 50s fight, barely registered any usage, and came very close to beating me. very impressed by its reaction time and (x.com/kj4dh4v/status/2100863245351539185)\n• Post by @kj4dh4v — made a Naruto-themed street fighter game and played against @typesafeai’s Jev it made ~130 decisions in a 50s fight, barely registered any usage, and came very close to beating me. very impressed by its reaction time and (twitter.com/kj4dh4v/status/2100863245351539185)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550424914404573277","sourceHandle":"Habu Tusk","sourceUrl":"https://x.com/kj4dh4v/status/2100863245351539185?s=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T08:35:05.096000+00:00","origins":["community"]},{"id":"submission:discord-1550422702857265233","title":"Hey folks! I just got access this morning and decided to take Jev for a spin. Introducing ...","category":"Integrations","prompt":null,"description":"Hey folks!\n\nI just got access this morning and decided to take Jev for a spin. \n\nIntroducing ... **JevPlaysPokemon**. \n\nI wanted to see if the model is able to make right decisions and beat elite four in pokemon, and surprisingly, it did (even in just lvl. 40 pokemons) . \n\nTweet: https://x.com/AnxKhn/status/2100842364248178833  \nRepo: https://github.com/anxkhn/JevPlaysPokemon\n\nHappy to walk through it if anyone wants.\n\nLinked projects:\n• Post by @AnxKhn — Jev by @typesafeai is amazing! i let it play pokemon firered, and it was able to beat elite 4 with a party of level 40 pokemons. all under 0.03$ (x.com/AnxKhn/status/2100842364248178833)\n• anxkhn/JevPlaysPokemon — Jev plays Generation 3 Pokémon via Showdown and a real FireRed ROM. - anxkhn/JevPlaysPokemon (github.com/anxkhn/JevPlaysPokemon)\n• jev-plays-pokemon-demo.mp4 — video/mp4 · 40 MB (cdn.discordapp.com/attachments/1483217545040232493/1550422700722360460)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550422702857265233","story":"Hey folks!\n\nI just got access this morning and decided to take Jev for a spin. \n\nIntroducing ... **JevPlaysPokemon**. \n\nI wanted to see if the model is able to make right decisions and beat elite four in pokemon, and surprisingly, it did (even in just lvl. 40 pokemons) . \n\nTweet: https://x.com/AnxKhn/status/2100842364248178833  \nRepo: https://github.com/anxkhn/JevPlaysPokemon\n\nHappy to walk through it if anyone wants.\n\nLinked projects:\n• Post by @AnxKhn — Jev by @typesafeai is amazing! i let it play pokemon firered, and it was able to beat elite 4 with a party of level 40 pokemons. all under 0.03$ (x.com/AnxKhn/status/2100842364248178833)\n• anxkhn/JevPlaysPokemon — Jev plays Generation 3 Pokémon via Showdown and a real FireRed ROM. - anxkhn/JevPlaysPokemon (github.com/anxkhn/JevPlaysPokemon)\n• jev-plays-pokemon-demo.mp4 — video/mp4 · 40 MB (cdn.discordapp.com/attachments/1483217545040232493/1550422700722360460)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550422702857265233","sourceHandle":"not_anaskhan","sourceUrl":"https://github.com/anxkhn/JevPlaysPokemon","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T08:26:17.822000+00:00","origins":["community"]},{"id":"submission:discord-1550421360445104198","title":"I run 10k record by both Sol Luna and Jev here is how it come up","category":"Social","prompt":null,"description":"I run 10k record by both Sol Luna and Jev  here is how it come up \nhttps://www.linkedin.com/feed/update/urn:li:activity:7506507049023840256/\n\nLinked projects:\n• #ai #artificialintelligence #typesafeai #jev #llm #aiagents #automation #powerplatform #enterpriseai | Sebastian Sochack — I just tested System Two’s TypeSafe AI Jev against GPT-5.6 Luna, and the results were interesting. I built a classification test using 10,000 synthetic claims, with a known expected outcome: 51% should follow the automat (linkedin.com/feed/update/urn:li:activity:7506507049023840256)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550421360445104198","story":"I run 10k record by both Sol Luna and Jev  here is how it come up \nhttps://www.linkedin.com/feed/update/urn:li:activity:7506507049023840256/\n\nLinked projects:\n• #ai #artificialintelligence #typesafeai #jev #llm #aiagents #automation #powerplatform #enterpriseai | Sebastian Sochack — I just tested System Two’s TypeSafe AI Jev against GPT-5.6 Luna, and the results were interesting. I built a classification test using 10,000 synthetic claims, with a known expected outcome: 51% should follow the automat (linkedin.com/feed/update/urn:li:activity:7506507049023840256)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550421360445104198","sourceHandle":"Crazy5murf","sourceUrl":"https://www.linkedin.com/feed/update/urn:li:activity:7506507049023840256/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T08:20:57.766000+00:00","origins":["community"]},{"id":"submission:discord-1550416488186380290","title":"Hey everyone 👋 I've been collecting public demos of what people are building with Jev, and I finally put them","category":"Travel","prompt":null,"description":"Hey everyone 👋\n\nI've been collecting public demos of what people are building with Jev, and I finally put them together into a directory: https://typesafeai.app\n\nTo be clear up front: it's unofficial and independent — I'm not affiliated with TypeSafe. Every entry links back to the original repo or write-up, and lists the claimed metric, known limitations, and an evidence grade, so you can see exactly what's verifiable vs. author-reported.\n\n13 cases on it right now, for example:\n\n🎮 Playing Super Mario from raw emulator state\n🛫 Searching Google Flights in ~7s (browser-use's jev-ultrafast)\n🖥️ Driving macOS from OCR + accessibility state\n🐝 Completing a StarCraft shareware mission\n🚁 Choosing drone tactics from camera feed\n…plus code-review routing, supervising/gating coding agents, MCP integrations, Home Assistant automation, and more\nTwo things I'd love from this community:\n\nWhat's missing? If you've built (or just seen) a Jev demo\n\nLinked projects:\n• What can Jev actually do? — Public Jev projects, evidence levels, integration patterns, and reported limitations. (typesafeai.app)\n• What can Jev actually do? — Public Jev projects, evidence levels, integration patterns, and reported limitations. (typesafeai.app/submit)\n• What can Jev actually do? — Public Jev projects, evidence levels, integration patterns, and reported limitations. (typesafeai.app/corrections)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550416488186380290","story":"Hey everyone 👋\n\nI've been collecting public demos of what people are building with Jev, and I finally put them together into a directory: https://typesafeai.app\n\nTo be clear up front: it's unofficial and independent — I'm not affiliated with TypeSafe. Every entry links back to the original repo or write-up, and lists the claimed metric, known limitations, and an evidence grade, so you can see exactly what's verifiable vs. author-reported.\n\n13 cases on it right now, for example:\n\n🎮 Playing Super Mario from raw emulator state\n🛫 Searching Google Flights in ~7s (browser-use's jev-ultrafast)\n🖥️ Driving macOS from OCR + accessibility state\n🐝 Completing a StarCraft shareware mission\n🚁 Choosing drone tactics from camera feed\n…plus code-review routing, supervising/gating coding agents, MCP integrations, Home Assistant automation, and more\nTwo things I'd love from this community:\n\nWhat's missing? If you've built (or just seen) a Jev demo\n\nLinked projects:\n• What can Jev actually do? — Public Jev projects, evidence levels, integration patterns, and reported limitations. (typesafeai.app)\n• What can Jev actually do? — Public Jev projects, evidence levels, integration patterns, and reported limitations. (typesafeai.app/submit)\n• What can Jev actually do? — Public Jev projects, evidence levels, integration patterns, and reported limitations. (typesafeai.app/corrections)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550416488186380290","sourceHandle":"gerrad_k","sourceUrl":"https://typesafeai.app","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T08:01:36.129000+00:00","origins":["community"]},{"id":"submission:discord-1550415625153941534","title":"Stop making models relearn the repository.","category":"Integrations","prompt":null,"description":"https://github.com/Zerolitter/Workspace-Atlas Stop making models relearn the repository. Give them the verified project context they actually need.\n\nLinked projects:\n• Zerolitter/Workspace-Atlas — Workspace Atlas is a local-first, agent-neutral workspace intelligence layer that continuously maintains a verified map of project files, symbols, relationships, effects and history, then delivers ... (github.com/Zerolitter/Workspace-Atlas)\n• workspace-atlas-explainer.mp4 — video/mp4 · 4 MB (cdn.discordapp.com/attachments/1483217545040232493/1550415624486789210)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550415625153941534","story":"https://github.com/Zerolitter/Workspace-Atlas Stop making models relearn the repository. Give them the verified project context they actually need.\n\nLinked projects:\n• Zerolitter/Workspace-Atlas — Workspace Atlas is a local-first, agent-neutral workspace intelligence layer that continuously maintains a verified map of project files, symbols, relationships, effects and history, then delivers ... (github.com/Zerolitter/Workspace-Atlas)\n• workspace-atlas-explainer.mp4 — video/mp4 · 4 MB (cdn.discordapp.com/attachments/1483217545040232493/1550415624486789210)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550415625153941534","sourceHandle":"Zerolitter","sourceUrl":"https://github.com/Zerolitter/Workspace-Atlas","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T07:58:10.366000+00:00","origins":["community"]},{"id":"submission:discord-1550414669133520946","title":"I've built Myna, free forever **local** meeting assistant (speaker diarization, summaries, recording).","category":"Evaluation","prompt":null,"description":"I've built Myna, free forever **local** meeting assistant (speaker diarization, summaries, recording).\nhttps://github.com/fmflurry/myna\n\nLooking forward to use Jev to improve accuracy!\n\nLinked projects:\n• fmflurry/myna — Local-first AI meeting recorder and summarizer. On-device STT (Parakeet-TDT) and summarization (Qwen2.5). No cloud. - fmflurry/myna (github.com/fmflurry/myna)\n• image.png — image/png · 83 KB (cdn.discordapp.com/attachments/1483217545040232493/1550414668843978762)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550414669133520946","story":"I've built Myna, free forever **local** meeting assistant (speaker diarization, summaries, recording).\nhttps://github.com/fmflurry/myna\n\nLooking forward to use Jev to improve accuracy!\n\nLinked projects:\n• fmflurry/myna — Local-first AI meeting recorder and summarizer. On-device STT (Parakeet-TDT) and summarization (Qwen2.5). No cloud. - fmflurry/myna (github.com/fmflurry/myna)\n• image.png — image/png · 83 KB (cdn.discordapp.com/attachments/1483217545040232493/1550414668843978762)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550414669133520946","sourceHandle":"Iwa","sourceUrl":"https://github.com/fmflurry/myna","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T07:54:22.433000+00:00","origins":["community"]},{"id":"submission:discord-1550414352333668424","title":"Built a simulated SIEM to showcase Jev's risk assessment capabilities.","category":"Integrations","prompt":null,"description":"Built a simulated SIEM to showcase Jev's risk assessment capabilities. \n\nhttps://github.com/the-data-sherpa/project_blackout\n\nLinked projects:\n• the-data-sherpa/project_blackout — Contribute to the-data-sherpa/project_blackout development by creating an account on GitHub. (github.com/the-data-sherpa/project_blackout)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550414352333668424","story":"Built a simulated SIEM to showcase Jev's risk assessment capabilities. \n\nhttps://github.com/the-data-sherpa/project_blackout\n\nLinked projects:\n• the-data-sherpa/project_blackout — Contribute to the-data-sherpa/project_blackout development by creating an account on GitHub. (github.com/the-data-sherpa/project_blackout)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550414352333668424","sourceHandle":"DataSherpa","sourceUrl":"https://github.com/the-data-sherpa/project_blackout","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T07:53:06.902000+00:00","origins":["community"]},{"id":"submission:discord-1550412166463619142","title":"I have a project go live in 12 days.","category":"Admin","prompt":null,"description":"I have a project go live in 12 days. I manage tickets in gitlab and wanted to know what tickets are go live blockers and the triage went very well.\nWith a script, i can fetch the ticktes via `glab`cli, transform the json and send it to JEV. Based on the result, the script adds labels and comments the result. \nwont show the full tickets here but the titels are `e2e: checkout.spec.ts flakes on the Kasse step under parallel load`  and  `Infra: packet loss at <HOSTER> — 4% TCP retransmits, page load up to 48 s`\nI am pretty happe with the result. some tickets are quite detailed and have a lot of text, others less, but from what i saw, it worked pretty well. \n\nFor all tickets i used `30 645` Tokens or less then `$0.01`.\n\nLinked projects:\n• image.png — image/png · 108 KB (cdn.discordapp.com/attachments/1483217545040232493/1550412165905645608)\n• image.png — image/png · 108 KB (cdn.discordapp.com/attachments/1483217545040232493/1550412166190866442)","story":"I have a project go live in 12 days. I manage tickets in gitlab and wanted to know what tickets are go live blockers and the triage went very well.\nWith a script, i can fetch the ticktes via `glab`cli, transform the json and send it to JEV. Based on the result, the script adds labels and comments the result. \nwont show the full tickets here but the titels are `e2e: checkout.spec.ts flakes on the Kasse step under parallel load`  and  `Infra: packet loss at <HOSTER> — 4% TCP retransmits, page load up to 48 s`\nI am pretty happe with the result. some tickets are quite detailed and have a lot of text, others less, but from what i saw, it worked pretty well. \n\nFor all tickets i used `30 645` Tokens or less then `$0.01`.\n\nLinked projects:\n• image.png — image/png · 108 KB (cdn.discordapp.com/attachments/1483217545040232493/1550412165905645608)\n• image.png — image/png · 108 KB (cdn.discordapp.com/attachments/1483217545040232493/1550412166190866442)","sourceHandle":"rankala","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550412166463619142","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T07:44:25.750000+00:00","origins":["community"]},{"id":"submission:discord-1550411974993780858","title":"Looks like the token count is accurate for Jev, more than 5x more input tokens.","category":"Admin","prompt":null,"description":"Looks like the token count is accurate for Jev,  more than 5x more input tokens.  Because this approach is making a call for every line in the document and passing criteria with each line vs. a single prompt and response from the LLM.  I am sure this could made more efficient, but **as-is it is a faster but not less expensive option.** (at least if you are using Deepseek V4 Flash on OpenRouter for the LLM)","story":"Looks like the token count is accurate for Jev,  more than 5x more input tokens.  Because this approach is making a call for every line in the document and passing criteria with each line vs. a single prompt and response from the LLM.  I am sure this could made more efficient, but **as-is it is a faster but not less expensive option.** (at least if you are using Deepseek V4 Flash on OpenRouter for the LLM)","sourceHandle":"sh0rtythegreat","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550411974993780858","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T07:43:40.100000+00:00","origins":["community"]},{"id":"submission:discord-1550408717873193021","title":"Loving Jev, so many applications.","category":"Work","prompt":null,"description":"Loving Jev, so many applications. This is a self driving car simulation that Jev does all the realtime decision (~300ms latency)\nhttps://x.com/kavehmz/status/2100616111771238881\n\nLinked projects:\n• Post by @kavehmz — @typesafeai (and System One models in general) have a lot of uses, and fun to play with. New paradigm open to public now. This is a self-driving sim I spun up to test Jev today. Structured sensor state in, typed driving  (x.com/kavehmz/status/2100616111771238881)\n• Post by @kavehmz — @typesafeai (and System One models in general) have a lot of uses, and fun to play with. New paradigm open to public now. This is a self-driving sim I spun up to test Jev today. Structured sensor state in, typed driving  (twitter.com/kavehmz/status/2100616111771238881)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550408717873193021","story":"Loving Jev, so many applications. This is a self driving car simulation that Jev does all the realtime decision (~300ms latency)\nhttps://x.com/kavehmz/status/2100616111771238881\n\nLinked projects:\n• Post by @kavehmz — @typesafeai (and System One models in general) have a lot of uses, and fun to play with. New paradigm open to public now. This is a self-driving sim I spun up to test Jev today. Structured sensor state in, typed driving  (x.com/kavehmz/status/2100616111771238881)\n• Post by @kavehmz — @typesafeai (and System One models in general) have a lot of uses, and fun to play with. New paradigm open to public now. This is a self-driving sim I spun up to test Jev today. Structured sensor state in, typed driving  (twitter.com/kavehmz/status/2100616111771238881)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550408717873193021","sourceHandle":"kaveh","sourceUrl":"https://x.com/kavehmz/status/2100616111771238881","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T07:30:43.542000+00:00","origins":["community"]},{"id":"submission:discord-1550407764990238832","title":"Hi guys, I was playing around with different states.","category":"Home","prompt":null,"description":"Hi guys, I was playing around with different states. And when I changed the voice of state from \"loosing\" to \"gaining\" and adding keyword like \"help\", \"ASAP\", even though the state is not urgency, it's classifying it as urgency. Instead of the \"state of intent\", it is prioritizing words.\n\nIs it happening with everyone? or am I checking it in a wrong way? Because user might just play around like this.\n\nLinked projects:\n• image.png — image/png · 54 KB (cdn.discordapp.com/attachments/1483217545040232493/1550407764386254858)\n• image.png — image/png · 54 KB (cdn.discordapp.com/attachments/1483217545040232493/1550407764746960936)","story":"Hi guys, I was playing around with different states. And when I changed the voice of state from \"loosing\" to \"gaining\" and adding keyword like \"help\", \"ASAP\", even though the state is not urgency, it's classifying it as urgency. Instead of the \"state of intent\", it is prioritizing words.\n\nIs it happening with everyone? or am I checking it in a wrong way? Because user might just play around like this.\n\nLinked projects:\n• image.png — image/png · 54 KB (cdn.discordapp.com/attachments/1483217545040232493/1550407764386254858)\n• image.png — image/png · 54 KB (cdn.discordapp.com/attachments/1483217545040232493/1550407764746960936)","sourceHandle":"sreekar","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550407764990238832","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T07:26:56.357000+00:00","origins":["community"]},{"id":"submission:discord-1550407293022240809","title":"play against jev in chess with a twist: bonechess: inscryption-inspired simple chess+card game hybrid: - sacrifice","category":"Food","prompt":null,"description":"play against jev in chess with a twist:\nhttps://bonechess.acadine.dev \n\nbonechess: inscryption-inspired simple chess+card game hybrid:\n- sacrifice pieces to get cards in the lanes\n- test jev's adaptability with strange new game rules. Shows some of jev's noul, choice and score for each move. \n\ni must admit, it cooked me a few times.\nbuilt using hermes, fable and jev!\n\nLinked projects:\n• Bonechess (bonechess.acadine.dev)\n• bonechess.png — image/png · 357 KB (cdn.discordapp.com/attachments/1483217545040232493/1550407292753551380)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550407293022240809","story":"play against jev in chess with a twist:\nhttps://bonechess.acadine.dev \n\nbonechess: inscryption-inspired simple chess+card game hybrid:\n- sacrifice pieces to get cards in the lanes\n- test jev's adaptability with strange new game rules. Shows some of jev's noul, choice and score for each move. \n\ni must admit, it cooked me a few times.\nbuilt using hermes, fable and jev!\n\nLinked projects:\n• Bonechess (bonechess.acadine.dev)\n• bonechess.png — image/png · 357 KB (cdn.discordapp.com/attachments/1483217545040232493/1550407292753551380)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550407293022240809","sourceHandle":"Jonathan Bylos","sourceUrl":"https://bonechess.acadine.dev","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T07:25:03.831000+00:00","origins":["community"]},{"id":"submission:discord-1550406791773552732","title":"I was playing around with Jev and created a job roast to grill them nicely and it did!!","category":"Work","prompt":null,"description":"I was playing around with Jev and created a job roast to grill them nicely and it did!!\nPaste a JD, it grills it line by line.\nhttps://x.com/thilakbhat95/status/2100846150056309107?s=46\n\nLinked projects:\n• Post by @thilakbhat95 — I built a job-roasting machine on Jev - paste a JD, it grills it line by line. It's insane how cheap and fast it is at scoring! @typesafeai \"We're like a family here\" → Boundaries are not a thing here. \"Wear many hats\" → (x.com/thilakbhat95/status/2100846150056309107)\n• Post by @thilakbhat95 — I built a job-roasting machine on Jev - paste a JD, it grills it line by line. It's insane how cheap and fast it is at scoring! @typesafeai \"We're like a family here\" → Boundaries are not a thing here. \"Wear many hats\" → (twitter.com/thilakbhat95/status/2100846150056309107)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550406791773552732","story":"I was playing around with Jev and created a job roast to grill them nicely and it did!!\nPaste a JD, it grills it line by line.\nhttps://x.com/thilakbhat95/status/2100846150056309107?s=46\n\nLinked projects:\n• Post by @thilakbhat95 — I built a job-roasting machine on Jev - paste a JD, it grills it line by line. It's insane how cheap and fast it is at scoring! @typesafeai \"We're like a family here\" → Boundaries are not a thing here. \"Wear many hats\" → (x.com/thilakbhat95/status/2100846150056309107)\n• Post by @thilakbhat95 — I built a job-roasting machine on Jev - paste a JD, it grills it line by line. It's insane how cheap and fast it is at scoring! @typesafeai \"We're like a family here\" → Boundaries are not a thing here. \"Wear many hats\" → (twitter.com/thilakbhat95/status/2100846150056309107)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550406791773552732","sourceHandle":"Thilak Bhat","sourceUrl":"https://x.com/thilakbhat95/status/2100846150056309107?s=46","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T07:23:04.324000+00:00","origins":["community"]},{"id":"submission:discord-1550406277757149267","title":"been playing with Jev as the decision engine for an Aside browser no chat LLM in the loop, just typed actions inside","category":"Integrations","prompt":null,"description":"been playing with Jev as the decision engine for an Aside browser\nno chat LLM in the loop, just typed actions inside `aside repl`\n\nraced it against Luna and Astra on a real browsing task (google → wikipedia → gotham city): ~3.6x faster decisions, ~21x cheaper — and zero hallucinated clicks, while Luna kept inventing elements that don't exist\n\ncode + reproducible bench + real-time race replay: https://github.com/pumpkinredbean/bside\n\nLinked projects:\n• pumpkinredbean/bside — Contribute to pumpkinredbean/bside development by creating an account on GitHub. (github.com/pumpkinredbean/bside)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550406277757149267","story":"been playing with Jev as the decision engine for an Aside browser\nno chat LLM in the loop, just typed actions inside `aside repl`\n\nraced it against Luna and Astra on a real browsing task (google → wikipedia → gotham city): ~3.6x faster decisions, ~21x cheaper — and zero hallucinated clicks, while Luna kept inventing elements that don't exist\n\ncode + reproducible bench + real-time race replay: https://github.com/pumpkinredbean/bside\n\nLinked projects:\n• pumpkinredbean/bside — Contribute to pumpkinredbean/bside development by creating an account on GitHub. (github.com/pumpkinredbean/bside)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550406277757149267","sourceHandle":"pumpkinbean","sourceUrl":"https://github.com/pumpkinredbean/bside","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T07:21:01.773000+00:00","origins":["community"]},{"id":"submission:discord-1550405305836249139","title":"Pointed Jev at 3 months of my own browser history.","category":"Work","prompt":null,"description":"Pointed Jev at 3 months of my own browser history.\n\nTurns out I keep googling the same things and forgetting I did. Love that for me.\n\nRaced it against Haiku and a dumb keyword script on 82,011 calls. \n\nJev won, whole thing cost 62 cents!\n\nLinked projects:\n• image.png — image/png · 878 KB (cdn.discordapp.com/attachments/1483217545040232493/1550405305525866496)","story":"Pointed Jev at 3 months of my own browser history.\n\nTurns out I keep googling the same things and forgetting I did. Love that for me.\n\nRaced it against Haiku and a dumb keyword script on 82,011 calls. \n\nJev won, whole thing cost 62 cents!\n\nLinked projects:\n• image.png — image/png · 878 KB (cdn.discordapp.com/attachments/1483217545040232493/1550405305525866496)","sourceHandle":"steaven","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550405305836249139","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T07:17:10.049000+00:00","origins":["community"]},{"id":"submission:discord-1550405009731092500","title":"Hello guys, please check out my Angry Birds portfolio website that I recently built using Three.js: I am a Full stack","category":"Home","prompt":null,"description":"Hello guys, please check out my Angry Birds portfolio website that I recently built using Three.js:\n\nhttps://ahmar004.github.io\n\nI am a Full stack developer, and currently looking for clients, please hit me up with a message if someone wants a fully shipped web app for their startup idea or a project 🙂\n\nMy gitHub:\nhttps://github.com/Ahmar004\n\nLinked projects:\n• Ahmar Ali — Full Stack Engineer & ML Developer — Knock down the crates to explore my work. Full stack engineering, computer vision, and open-source communities with 2,500+ members. (ahmar004.github.io)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550405009731092500","story":"Hello guys, please check out my Angry Birds portfolio website that I recently built using Three.js:\n\nhttps://ahmar004.github.io\n\nI am a Full stack developer, and currently looking for clients, please hit me up with a message if someone wants a fully shipped web app for their startup idea or a project 🙂\n\nMy gitHub:\nhttps://github.com/Ahmar004\n\nLinked projects:\n• Ahmar Ali — Full Stack Engineer & ML Developer — Knock down the crates to explore my work. Full stack engineering, computer vision, and open-source communities with 2,500+ members. (ahmar004.github.io)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550405009731092500","sourceHandle":"Ahmar Ali","sourceUrl":"https://ahmar004.github.io","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T07:15:59.452000+00:00","origins":["community"]},{"id":"submission:discord-1550401225248219220","title":"It's over","category":"Work","prompt":null,"description":"It's over\nhttps://x.com/brainstormity/status/2100842356484325574?s=20\n\nLinked projects:\n• Post by @brainstormity — Introducing the User Investigation feature for the JEV Moderator bot. Let JEV analyze a user's chat history and generate an AI-powered profile using @typesafeai. Admins Right-click any user → Apps → Generate AI Profile o (x.com/brainstormity/status/2100842356484325574)\n• Post by @brainstormity — Introducing the User Investigation feature for the JEV Moderator bot. Let JEV analyze a user's chat history and generate an AI-powered profile using @typesafeai. Admins Right-click any user → Apps → Generate AI Profile o (twitter.com/brainstormity/status/2100842356484325574)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550401225248219220","story":"It's over\nhttps://x.com/brainstormity/status/2100842356484325574?s=20\n\nLinked projects:\n• Post by @brainstormity — Introducing the User Investigation feature for the JEV Moderator bot. Let JEV analyze a user's chat history and generate an AI-powered profile using @typesafeai. Admins Right-click any user → Apps → Generate AI Profile o (x.com/brainstormity/status/2100842356484325574)\n• Post by @brainstormity — Introducing the User Investigation feature for the JEV Moderator bot. Let JEV analyze a user's chat history and generate an AI-powered profile using @typesafeai. Admins Right-click any user → Apps → Generate AI Profile o (twitter.com/brainstormity/status/2100842356484325574)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550401225248219220","sourceHandle":"brainstormity","sourceUrl":"https://x.com/brainstormity/status/2100842356484325574?s=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T07:00:57.161000+00:00","origins":["community"]},{"id":"submission:discord-1550399687666700300","title":"**My first Jev result!** Recreated the example \"Line-by-line search\" ( ) to process real Terms of Service (ToS) docs,","category":"Food","prompt":null,"description":"**My first Jev result!**  Recreated the example \"Line-by-line search\"  (https://docs.typesafe.ai/cookbooks/semantic_find)  to process real Terms of Service (ToS) docs, and identifying the specific lines of the ToS that were related to user or vendor ownership of input/output content (AI Vendor ToS'), and then compared that to the same function being run by an LLM (DeepSeek V4 Flash)... the results were immediate **23x faster with Jev!** Also the LLM had a false positive (identifying a line about software intellectual property) which **Jev did not! ** However the token count seems high, really high, on the Jev side, need to look into if this is an error, or if the Line-by-Line search is just that inefficient, if it is right the token cost might actually be higher with Jev even with the super low input-only pricing.    I'll share more after some debugging and my full POC is running.  😁\n\nLinked projects:\n• Line-by-line search - TypeSafe AI — Build semantic search for GitHub's Terms of Service. In one request, score 218 line ids against a plain-language query with a Choice question, and use a Noul question to check whether the document contains an answer. (docs.typesafe.ai/cookbooks/semantic_find)\n• Jev_SmokeTest1.png — image/png · 61 KB (cdn.discordapp.com/attachments/1483217545040232493/1550399686911860786)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550399687666700300","story":"**My first Jev result!**  Recreated the example \"Line-by-line search\"  (https://docs.typesafe.ai/cookbooks/semantic_find)  to process real Terms of Service (ToS) docs, and identifying the specific lines of the ToS that were related to user or vendor ownership of input/output content (AI Vendor ToS'), and then compared that to the same function being run by an LLM (DeepSeek V4 Flash)... the results were immediate **23x faster with Jev!** Also the LLM had a false positive (identifying a line about software intellectual property) which **Jev did not! ** However the token count seems high, really high, on the Jev side, need to look into if this is an error, or if the Line-by-Line search is just that inefficient, if it is right the token cost might actually be higher with Jev even with the super low input-only pricing.    I'll share more after some debugging and my full POC is running.  😁\n\nLinked projects:\n• Line-by-line search - TypeSafe AI — Build semantic search for GitHub's Terms of Service. In one request, score 218 line ids against a plain-language query with a Choice question, and use a Noul question to check whether the document contains an answer. (docs.typesafe.ai/cookbooks/semantic_find)\n• Jev_SmokeTest1.png — image/png · 61 KB (cdn.discordapp.com/attachments/1483217545040232493/1550399686911860786)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550399687666700300","sourceHandle":"sh0rtythegreat","sourceUrl":"https://docs.typesafe.ai/cookbooks/semantic_find","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T06:54:50.573000+00:00","origins":["community"]},{"id":"submission:discord-1550393557175504979","title":"real time note classifier, LLM-written, engagement farming etc..","category":"Work","prompt":null,"description":"real time note classifier, LLM-written, engagement farming etc.. and ad blocker.\n\nLinked projects:\n• Moonshot-Recording-2026-09-18-15-14-23_Smashed.mp4 — video/mp4 · 15 MB (cdn.discordapp.com/attachments/1483217545040232493/1550393556298891304)","story":"real time note classifier, LLM-written, engagement farming etc.. and ad blocker.\n\nLinked projects:\n• Moonshot-Recording-2026-09-18-15-14-23_Smashed.mp4 — video/mp4 · 15 MB (cdn.discordapp.com/attachments/1483217545040232493/1550393556298891304)","sourceHandle":"Holokat","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550393557175504979","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T06:30:28.950000+00:00","origins":["community"]},{"id":"submission:discord-1550386640059502602","title":"if the link is looking a bit sketchy it was a component of this article:","category":"Evaluation","prompt":null,"description":"if the link is looking a bit sketchy it was a component of this article: https://every.to/also-true-for-humans/mini-vibe-check-typesafe-s-jev-judged-everything-i-ve-written-in-0-7-seconds\n\nLinked projects:\n• Mini-Vibe Check: TypeSafe's Jev Judged Everything I’ve Written in 0.7 Seconds — Its new model turns fuzzy questions into probabilities fast and cheaply enough to check an AI agent’s work as it goes (every.to/also-true-for-humans/mini-vibe-check-typesafe-s-jev-judged-ev)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550386640059502602","story":"if the link is looking a bit sketchy it was a component of this article: https://every.to/also-true-for-humans/mini-vibe-check-typesafe-s-jev-judged-everything-i-ve-written-in-0-7-seconds\n\nLinked projects:\n• Mini-Vibe Check: TypeSafe's Jev Judged Everything I’ve Written in 0.7 Seconds — Its new model turns fuzzy questions into probabilities fast and cheaply enough to check an AI agent’s work as it goes (every.to/also-true-for-humans/mini-vibe-check-typesafe-s-jev-judged-ev)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550386640059502602","sourceHandle":"willdog","sourceUrl":"https://every.to/also-true-for-humans/mini-vibe-check-typesafe-s-jev-judged-everything-i-ve-written-in-0-7-seconds","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T06:02:59.781000+00:00","origins":["community"]},{"id":"submission:discord-1550386268670525493","title":"Found this handy compilation of experiments that was really useful for developing my understanding of Jev's","category":"Work","prompt":null,"description":"Found this handy compilation of experiments that was really useful for developing my understanding of Jev's capabilities: https://typesafe-parallel-judgment-lab.every-4573.chatgpt.site\n\nLinked projects:\n• What if judgment were parallel? — Eleven measured experiments with TypeSafe's typed probability API. (typesafe-parallel-judgment-lab.every-4573.chatgpt.site)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550386268670525493","story":"Found this handy compilation of experiments that was really useful for developing my understanding of Jev's capabilities: https://typesafe-parallel-judgment-lab.every-4573.chatgpt.site\n\nLinked projects:\n• What if judgment were parallel? — Eleven measured experiments with TypeSafe's typed probability API. (typesafe-parallel-judgment-lab.every-4573.chatgpt.site)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550386268670525493","sourceHandle":"willdog","sourceUrl":"https://typesafe-parallel-judgment-lab.every-4573.chatgpt.site","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T06:01:31.235000+00:00","origins":["community"]},{"id":"submission:discord-1550384373902348288","title":"- using TypeSafe to turn words into soundtracks","category":"Work","prompt":null,"description":"https://textured.fyi - using TypeSafe to turn words into soundtracks\n\nLinked projects:\n• Textured — Get it on GitHub (textured.fyi)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550384373902348288","story":"https://textured.fyi - using TypeSafe to turn words into soundtracks\n\nLinked projects:\n• Textured — Get it on GitHub (textured.fyi)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550384373902348288","sourceHandle":"fluxus","sourceUrl":"https://textured.fyi","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T05:53:59.487000+00:00","origins":["community"]},{"id":"submission:discord-1550383889107910696","title":"i dint expect it to make an entire planet that i can orbit around","category":"Work","prompt":null,"description":"i dint expect it to make an entire planet that i can orbit around\n\nLinked projects:\n• image.png — image/png · 3 MB (cdn.discordapp.com/attachments/1483217545040232493/1550383888755327036)","story":"i dint expect it to make an entire planet that i can orbit around\n\nLinked projects:\n• image.png — image/png · 3 MB (cdn.discordapp.com/attachments/1483217545040232493/1550383888755327036)","sourceHandle":"complexxsnake","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550383889107910696","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T05:52:03.903000+00:00","origins":["community"]},{"id":"submission:discord-1550382622184710216","title":"but you can use openrouter - I just tried with browser and it worked well .","category":"Work","prompt":null,"description":"but you can use openrouter - I just tried with browser and it worked well .\n\nLinked projects:\n• Screenshot_2026-09-18_at_11.16.53_AM.png — image/png · 276 KB (cdn.discordapp.com/attachments/1483217545040232493/1550382621865938994)","story":"but you can use openrouter - I just tried with browser and it worked well .\n\nLinked projects:\n• Screenshot_2026-09-18_at_11.16.53_AM.png — image/png · 276 KB (cdn.discordapp.com/attachments/1483217545040232493/1550382621865938994)","sourceHandle":"arjun5959","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550382622184710216","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T05:47:01.845000+00:00","origins":["community"]},{"id":"submission:discord-1550381284121907311","title":"made a quick little reality checker using jev!","category":"Work","prompt":null,"description":"https://x.com/Anot/status/2100822237221724317?s=20 made a quick little reality checker using jev!\n\nLinked projects:\n• Post by @Anot — having so much fun with @typesafeai. here’s Jev doing a little reality check. https://real-or-fake.an0t.chatgpt.site/ (x.com/Anot/status/2100822237221724317)\n• Post by @Anot — having so much fun with @typesafeai. here’s Jev doing a little reality check. https://real-or-fake.an0t.chatgpt.site/ (twitter.com/Anot/status/2100822237221724317)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550381284121907311","story":"https://x.com/Anot/status/2100822237221724317?s=20 made a quick little reality checker using jev!\n\nLinked projects:\n• Post by @Anot — having so much fun with @typesafeai. here’s Jev doing a little reality check. https://real-or-fake.an0t.chatgpt.site/ (x.com/Anot/status/2100822237221724317)\n• Post by @Anot — having so much fun with @typesafeai. here’s Jev doing a little reality check. https://real-or-fake.an0t.chatgpt.site/ (twitter.com/Anot/status/2100822237221724317)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550381284121907311","sourceHandle":"Anot","sourceUrl":"https://x.com/Anot/status/2100822237221724317?s=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T05:41:42.826000+00:00","origins":["community"]},{"id":"submission:discord-1550374688327213079","title":"We’re building a real-time decision engine for financial and prediction markets.","category":"Shopping","prompt":null,"description":"We’re building a real-time decision engine for financial and prediction markets. We’d like to test TypeSafe on low-latency, structured decisions such as whether to enter, exit, hold, or cancel an order based on live market state, and benchmark it against general-purpose LLMs and quantitative models.","story":"We’re building a real-time decision engine for financial and prediction markets. We’d like to test TypeSafe on low-latency, structured decisions such as whether to enter, exit, hold, or cancel an order based on live market state, and benchmark it against general-purpose LLMs and quantitative models.","sourceHandle":"mmx","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550374688327213079","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T05:15:30.266000+00:00","origins":["community"]},{"id":"submission:discord-1550374628684464249","title":"@ Swamp club it's now 91% cheaper & 14.8% faster for our alert triage with TypeSafe AI & Swamp We used to spend a","category":"Work","prompt":null,"description":"@ Swamp club it's now 91% cheaper & 14.8% faster for our alert triage with TypeSafe AI & Swamp\n https://blog.watson-labs.co.uk/typesafe-ai-alert-fatigue/\n\nWe used to spend a fortune on signal triage, now it's superficial + super fast\n\nLinked projects:\n• 91% Cheaper, 14.8% Faster Alert Triage with TypeSafe AI & Swamp — TypeSafe AI screens. Swamp routes. Claude gets the work worth paying for. (blog.watson-labs.co.uk/typesafe-ai-alert-fatigue)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550374628684464249","story":"@ Swamp club it's now 91% cheaper & 14.8% faster for our alert triage with TypeSafe AI & Swamp\n https://blog.watson-labs.co.uk/typesafe-ai-alert-fatigue/\n\nWe used to spend a fortune on signal triage, now it's superficial + super fast\n\nLinked projects:\n• 91% Cheaper, 14.8% Faster Alert Triage with TypeSafe AI & Swamp — TypeSafe AI screens. Swamp routes. Claude gets the work worth paying for. (blog.watson-labs.co.uk/typesafe-ai-alert-fatigue)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550374628684464249","sourceHandle":"John","sourceUrl":"https://blog.watson-labs.co.uk/typesafe-ai-alert-fatigue/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T05:15:16.046000+00:00","origins":["community"]},{"id":"submission:discord-1550374474749190187","title":"So I can't show a lot of what JEV has done for my product but here's the gist 10x increase in speed for call outcome","category":"Home","prompt":null,"description":"So I can't show a lot of what JEV has done for my product but here's the gist \n\n10x increase in speed for call outcome detection with a 70% reduction in costs with way less false followup locks \n\nLive objections gained a 40 point increase in detection and will be made into a new feature slightly more expensive but negligable to the overall cost \n\nDetection of sentiment to emails \n\n10x faster and 70% cost reduction and roughly a plus 20 point differential on sentiment understanding.","story":"So I can't show a lot of what JEV has done for my product but here's the gist \n\n10x increase in speed for call outcome detection with a 70% reduction in costs with way less false followup locks \n\nLive objections gained a 40 point increase in detection and will be made into a new feature slightly more expensive but negligable to the overall cost \n\nDetection of sentiment to emails \n\n10x faster and 70% cost reduction and roughly a plus 20 point differential on sentiment understanding.","sourceHandle":"Solar","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550374474749190187","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T05:14:39.345000+00:00","origins":["community"]},{"id":"submission:discord-1550371537985740821","title":"This is kind of silly, but I built a Jev powered magic 8 ball.","category":"Integrations","prompt":null,"description":"This is kind of silly, but I built a Jev powered magic 8 ball. Mostly to help others understand how jev works. My $4 token balance should be enough for at least 500k requests on it. Feel free to share! \nhttps://willprout.github.io/magic-8-ball/\n\nLinked projects:\n• Magic-8-Jev · An instinct from Jev — Twenty opinionated answers. One quick-witted oracle. Ask Magic-8-Jev. (willprout.github.io/magic-8-ball)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550371537985740821","story":"This is kind of silly, but I built a Jev powered magic 8 ball. Mostly to help others understand how jev works. My $4 token balance should be enough for at least 500k requests on it. Feel free to share! \nhttps://willprout.github.io/magic-8-ball/\n\nLinked projects:\n• Magic-8-Jev · An instinct from Jev — Twenty opinionated answers. One quick-witted oracle. Ask Magic-8-Jev. (willprout.github.io/magic-8-ball)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550371537985740821","sourceHandle":"Parzival","sourceUrl":"https://willprout.github.io/magic-8-ball/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T05:02:59.166000+00:00","origins":["community"]},{"id":"submission:discord-1550370502051364976","title":"i am using for now in codex.","category":"Integrations","prompt":null,"description":"i am using https://github.com/vlad-terin/jev-browser for now in codex. ill move to that one if i go to antigravit\n\nLinked projects:\n• browser-use/jev-ultrafast — Possible match for moved/deleted link vlad-terin/jev-browser — i. am. speed. (5166★) (github.com/vlad-terin/jev-browser)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550370502051364976","story":"i am using https://github.com/vlad-terin/jev-browser for now in codex. ill move to that one if i go to antigravit\n\nLinked projects:\n• browser-use/jev-ultrafast — Possible match for moved/deleted link vlad-terin/jev-browser — i. am. speed. (5166★) (github.com/vlad-terin/jev-browser)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550370502051364976","sourceHandle":"Om Senjalia","sourceUrl":"https://github.com/vlad-terin/jev-browser","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T04:58:52.180000+00:00","origins":["community"]},{"id":"submission:discord-1550370339635200000","title":"try this one - this should work - less robust for now","category":"Integrations","prompt":null,"description":"https://github.com/jkudish/jev-browser try this one - this should work - less robust for now\n\nLinked projects:\n• jkudish/jev-browser — Browser use using Typesafe's Jev model. Contribute to jkudish/jev-browser development by creating an account on GitHub. (github.com/jkudish/jev-browser)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550370339635200000","story":"https://github.com/jkudish/jev-browser try this one - this should work - less robust for now\n\nLinked projects:\n• jkudish/jev-browser — Browser use using Typesafe's Jev model. Contribute to jkudish/jev-browser development by creating an account on GitHub. (github.com/jkudish/jev-browser)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550370339635200000","sourceHandle":"BlissF00l","sourceUrl":"https://github.com/jkudish/jev-browser","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T04:58:13.457000+00:00","origins":["community"]},{"id":"submission:discord-1550370061485613067","title":"not out of the box.","category":"Work","prompt":null,"description":"not out of the box. Codex provides the important missing piece: a browser/computer-use tool that can inspect the page and click/type into it.  \nOllama is just the model runtime, so a local or cloud Ollama model would also need a browser automation tool plus a small adapter to pass page elements into Jev and execute the chosen action.  \nOpenCode may be able to do it if it has compatible browser tools, but it isn’t plug-and-play yet. Same idea for Antigravity: compatible browser access is the requirement, not the underlying model.","story":"not out of the box. Codex provides the important missing piece: a browser/computer-use tool that can inspect the page and click/type into it.  \nOllama is just the model runtime, so a local or cloud Ollama model would also need a browser automation tool plus a small adapter to pass page elements into Jev and execute the chosen action.  \nOpenCode may be able to do it if it has compatible browser tools, but it isn’t plug-and-play yet. Same idea for Antigravity: compatible browser access is the requirement, not the underlying model.","sourceHandle":"BlissF00l","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550370061485613067","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T04:57:07.141000+00:00","origins":["community"]},{"id":"submission:discord-1550368376340357143","title":"I just did another experiment what if Jev could 'hear'?","category":"Fun","prompt":null,"description":"I just did another experiment what if Jev could 'hear'? So here's how Jev reacts to music, take a look!\n\nMore on my X : https://x.com/rrriviannn/status/2100807838566383819\n\nLinked projects:\n• Post by @rrriviannn — Okay soooo what if @typesafeai's Jev could 'hear'? here's what Toxicity sounds like according to Jev : (x.com/rrriviannn/status/2100807838566383819)\n• Screen_Recording_2026-09-18_at_10.45.15_AM_2.mp4 — video/mp4 · 30 MB (cdn.discordapp.com/attachments/1483217545040232493/1550368374289334312)\n• Post by @rrriviannn — Okay soooo what if @typesafeai's Jev could 'hear'? here's what Toxicity sounds like according to Jev : (twitter.com/rrriviannn/status/2100807838566383819)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550368376340357143","story":"I just did another experiment what if Jev could 'hear'? So here's how Jev reacts to music, take a look!\n\nMore on my X : https://x.com/rrriviannn/status/2100807838566383819\n\nLinked projects:\n• Post by @rrriviannn — Okay soooo what if @typesafeai's Jev could 'hear'? here's what Toxicity sounds like according to Jev : (x.com/rrriviannn/status/2100807838566383819)\n• Screen_Recording_2026-09-18_at_10.45.15_AM_2.mp4 — video/mp4 · 30 MB (cdn.discordapp.com/attachments/1483217545040232493/1550368374289334312)\n• Post by @rrriviannn — Okay soooo what if @typesafeai's Jev could 'hear'? here's what Toxicity sounds like according to Jev : (twitter.com/rrriviannn/status/2100807838566383819)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550368376340357143","sourceHandle":"riv","sourceUrl":"https://x.com/rrriviannn/status/2100807838566383819","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T04:50:25.371000+00:00","origins":["community"]},{"id":"submission:discord-1550368280164700281","title":"I tried this - didn't pass my evals","category":"Evaluation","prompt":null,"description":"https://github.com/browser-use/jev-ultrafast I tried this - didn't pass my evals\n\nLinked projects:\n• browser-use/jev-ultrafast — i. am. speed. Contribute to browser-use/jev-ultrafast development by creating an account on GitHub. (github.com/browser-use/jev-ultrafast)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550368280164700281","story":"https://github.com/browser-use/jev-ultrafast I tried this - didn't pass my evals\n\nLinked projects:\n• browser-use/jev-ultrafast — i. am. speed. Contribute to browser-use/jev-ultrafast development by creating an account on GitHub. (github.com/browser-use/jev-ultrafast)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550368280164700281","sourceHandle":"BlissF00l","sourceUrl":"https://github.com/browser-use/jev-ultrafast","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T04:50:02.441000+00:00","origins":["community"]},{"id":"submission:discord-1550367927843164213","title":"Someone built a working computer-use loop using Jev alone to take actions.","category":"Admin","prompt":null,"description":"Someone built a working computer-use loop using Jev alone to take actions.\nSmall use of LLM when text needs to be generated (like filling in forms or URLs).\n\nRepo https://github.com/awlevin/typesafe-computer-use\nX Post: https://x.com/awlevin/status/2100262612428894676?s=46\n\nLinked projects:\n• awlevin/typesafe-computer-use — Computer use for about $0.0002 a step: OCR the screen, classify the next action with TypeSafe, click. macOS. - awlevin/typesafe-computer-use (github.com/awlevin/typesafe-computer-use)\n• Post by @awlevin — i built computer use using @typesafeai ! it is 155x cheaper than opus 5, ~20x faster, and generalizes across OS's more on how it works in the vid & thread below: (x.com/awlevin/status/2100262612428894676)\n• Post by @awlevin — i built computer use using @typesafeai ! it is 155x cheaper than opus 5, ~20x faster, and generalizes across OS's more on how it works in the vid & thread below: (twitter.com/awlevin/status/2100262612428894676)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550367927843164213","story":"Someone built a working computer-use loop using Jev alone to take actions.\nSmall use of LLM when text needs to be generated (like filling in forms or URLs).\n\nRepo https://github.com/awlevin/typesafe-computer-use\nX Post: https://x.com/awlevin/status/2100262612428894676?s=46\n\nLinked projects:\n• awlevin/typesafe-computer-use — Computer use for about $0.0002 a step: OCR the screen, classify the next action with TypeSafe, click. macOS. - awlevin/typesafe-computer-use (github.com/awlevin/typesafe-computer-use)\n• Post by @awlevin — i built computer use using @typesafeai ! it is 155x cheaper than opus 5, ~20x faster, and generalizes across OS's more on how it works in the vid & thread below: (x.com/awlevin/status/2100262612428894676)\n• Post by @awlevin — i built computer use using @typesafeai ! it is 155x cheaper than opus 5, ~20x faster, and generalizes across OS's more on how it works in the vid & thread below: (twitter.com/awlevin/status/2100262612428894676)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550367927843164213","sourceHandle":"GlennMarcus","sourceUrl":"https://github.com/awlevin/typesafe-computer-use","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T04:48:38.441000+00:00","origins":["community"]},{"id":"submission:discord-1550367910420029450","title":"Shared by BlissF00l: document d 137TWXtW30vn6C1PnI9DT0kz0_Qotse1K3eBh4xJ DD4 edit","category":"Admin","prompt":null,"description":"https://docs.google.com/document/d/137TWXtW30vn6C1PnI9DT0kz0_Qotse1K3eBh4xJ-DD4/edit?usp=sharing\n\nLinked projects:\n• Jev Research — Notion 3.7 Competitive Response — Notion 3.7 competitive response A focused 30 day plan for Relay Launch: Research checked: Recommendation Approve a limited pilot for a weekly launch brief used by product teams. The pilot should produce a source-linked e (docs.google.com/document/d/137TWXtW30vn6C1PnI9DT0kz0_Qotse1K3eBh4xJ-DD)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550367910420029450","story":"https://docs.google.com/document/d/137TWXtW30vn6C1PnI9DT0kz0_Qotse1K3eBh4xJ-DD4/edit?usp=sharing\n\nLinked projects:\n• Jev Research — Notion 3.7 Competitive Response — Notion 3.7 competitive response A focused 30 day plan for Relay Launch: Research checked: Recommendation Approve a limited pilot for a weekly launch brief used by product teams. The pilot should produce a source-linked e (docs.google.com/document/d/137TWXtW30vn6C1PnI9DT0kz0_Qotse1K3eBh4xJ-DD)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550367910420029450","sourceHandle":"BlissF00l","sourceUrl":"https://docs.google.com/document/d/137TWXtW30vn6C1PnI9DT0kz0_Qotse1K3eBh4xJ-DD4/edit?usp=sharing","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T04:48:34.287000+00:00","origins":["community"]},{"id":"submission:discord-1550362481522905178","title":"Discord/Slack analyzer before sending message.","category":"Integrations","prompt":null,"description":"Discord/Slack analyzer before sending message. <0.1 sec. I added a delay to avoid making too many calls, it waits few ms once you stop typing to analyze and give feedback\n\nLinked projects:\n• jev_discord_demo.mp4 — video/mp4 · 12 MB (cdn.discordapp.com/attachments/1483217545040232493/1550362480478257253)","story":"Discord/Slack analyzer before sending message. <0.1 sec. I added a delay to avoid making too many calls, it waits few ms once you stop typing to analyze and give feedback\n\nLinked projects:\n• jev_discord_demo.mp4 — video/mp4 · 12 MB (cdn.discordapp.com/attachments/1483217545040232493/1550362480478257253)","sourceHandle":"Patrick","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550362481522905178","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T04:26:59.937000+00:00","origins":["community"]},{"id":"submission:discord-1550360848235765802","title":"I ran a test to see how Jev's scoring compared to my existing flow (analyzes job description to resume fit).","category":"Admin","prompt":null,"description":"I ran a test to see how Jev's scoring compared to my existing flow (analyzes job description to resume fit). The results were impressive - scores were very much aligned in step with mine, but oh man the difference in speed - just no comparison\n\nLinked projects:\n• image.png — image/png · 152 KB (cdn.discordapp.com/attachments/1483217545040232493/1550360848076378282)","story":"I ran a test to see how Jev's scoring compared to my existing flow (analyzes job description to resume fit). The results were impressive - scores were very much aligned in step with mine, but oh man the difference in speed - just no comparison\n\nLinked projects:\n• image.png — image/png · 152 KB (cdn.discordapp.com/attachments/1483217545040232493/1550360848076378282)","sourceHandle":"DCSkarsgard","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550360848235765802","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T04:20:30.531000+00:00","origins":["community"]},{"id":"submission:discord-1550360224899145820","title":"Exploring ambient intelligence in interfaces with jev","category":"Work","prompt":null,"description":"https://x.com/zahlekhan/status/2100681083176226921\nExploring ambient intelligence in interfaces with jev\n\nLinked projects:\n• Post by @zahlekhan — Introducing jev board, short for jevin keyboard. Fast, reliable models unlock much subtler experiences for building ambient intelligence into interfaces. A small exploration at the edges of GenUI. With done @typesafeai a (x.com/zahlekhan/status/2100681083176226921)\n• Post by @zahlekhan — Introducing jev board, short for jevin keyboard. Fast, reliable models unlock much subtler experiences for building ambient intelligence into interfaces. A small exploration at the edges of GenUI. With done @typesafeai a (twitter.com/zahlekhan/status/2100681083176226921)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550360224899145820","story":"https://x.com/zahlekhan/status/2100681083176226921\nExploring ambient intelligence in interfaces with jev\n\nLinked projects:\n• Post by @zahlekhan — Introducing jev board, short for jevin keyboard. Fast, reliable models unlock much subtler experiences for building ambient intelligence into interfaces. A small exploration at the edges of GenUI. With done @typesafeai a (x.com/zahlekhan/status/2100681083176226921)\n• Post by @zahlekhan — Introducing jev board, short for jevin keyboard. Fast, reliable models unlock much subtler experiences for building ambient intelligence into interfaces. A small exploration at the edges of GenUI. With done @typesafeai a (twitter.com/zahlekhan/status/2100681083176226921)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550360224899145820","sourceHandle":"zahle(thesys)","sourceUrl":"https://x.com/zahlekhan/status/2100681083176226921","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T04:18:01.916000+00:00","origins":["community"]},{"id":"submission:discord-1550359964235862076","title":"Played around building a Catan/Civ-like map generator backed by Jev.","category":"Evaluation","prompt":null,"description":"Played around building a Catan/Civ-like map generator backed by Jev.  The animation is real time as jev returns the tiles. It could do it all in one shot but I wanted to test latency. (ignore that the landscape sliders didn't affect the map properly, thats a bug in the harness).\n\nLinked projects:\n• 2026-09-18_00-15-22.gif — image/gif · 7 MB (cdn.discordapp.com/attachments/1483217545040232493/1550359963933868032)","story":"Played around building a Catan/Civ-like map generator backed by Jev.  The animation is real time as jev returns the tiles. It could do it all in one shot but I wanted to test latency. (ignore that the landscape sliders didn't affect the map properly, thats a bug in the harness).\n\nLinked projects:\n• 2026-09-18_00-15-22.gif — image/gif · 7 MB (cdn.discordapp.com/attachments/1483217545040232493/1550359963933868032)","sourceHandle":"Shados","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550359964235862076","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T04:16:59.769000+00:00","origins":["community"]},{"id":"submission:discord-1550354274662486067","title":"Ash Framework's AI extension getting fancy Jev support 🥳 ```elixir action :urgent, AshAi.Evaluate.Noul do description","category":"Evaluation","prompt":null,"description":"Ash Framework's AI extension getting fancy Jev support 🥳 \n\n```elixir\naction :urgent, AshAi.Evaluate.Noul do\n  description \"Does `ticket` convey urgency?\"\n  argument :ticket, :string, allow_nil?: false\n\n  run evaluate(\"typesafe:jev-latest\")\nend\n```\n\nOr multiple judgements:\n\n```elixir\naction :triage, AshAi.Evaluate.Judgments do\n  argument :ticket, :string, allow_nil?: false\n\n  constraints fields: [\n    department: [type: MyApp.Department, description: \"Which team should handle `ticket`?\"],\n    urgent: [type: :boolean, description: \"Does `ticket` convey urgency?\"]\n  ]\n\n  run evaluate(\"typesafe:jev-latest\")\nend\n```\n\nAnd the way that AshAI works exposing actions as tools is trivial. So you can easily provide these as tools to LLM-backed actions:\n\n```elixir\naction :assign_to_correct_team do\n  description \"\"\"\n  Assigns the ticket to the correct department:\n \n  - Engineering, if related to code\n  - Product, if related to features or improvements\n\n  If urgent, it assigns to L1, otherwise it assigns to L2.\n  \"\"\"\n\n  argument :ticket, :string, allow_nil?: false\n\n  run prompt(\"openai:gpt-4o\", to","story":"Ash Framework's AI extension getting fancy Jev support 🥳 \n\n```elixir\naction :urgent, AshAi.Evaluate.Noul do\n  description \"Does `ticket` convey urgency?\"\n  argument :ticket, :string, allow_nil?: false\n\n  run evaluate(\"typesafe:jev-latest\")\nend\n```\n\nOr multiple judgements:\n\n```elixir\naction :triage, AshAi.Evaluate.Judgments do\n  argument :ticket, :string, allow_nil?: false\n\n  constraints fields: [\n    department: [type: MyApp.Department, description: \"Which team should handle `ticket`?\"],\n    urgent: [type: :boolean, description: \"Does `ticket` convey urgency?\"]\n  ]\n\n  run evaluate(\"typesafe:jev-latest\")\nend\n```\n\nAnd the way that AshAI works exposing actions as tools is trivial. So you can easily provide these as tools to LLM-backed actions:\n\n```elixir\naction :assign_to_correct_team do\n  description \"\"\"\n  Assigns the ticket to the correct department:\n \n  - Engineering, if related to code\n  - Product, if related to features or improvements\n\n  If urgent, it assigns to L1, otherwise it assigns to L2.\n  \"\"\"\n\n  argument :ticket, :string, allow_nil?: false\n\n  run prompt(\"openai:gpt-4o\", to","sourceHandle":"ZachDaniel","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550354274662486067","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T03:54:23.269000+00:00","origins":["community"]},{"id":"submission:discord-1550351443687374909","title":"It generates a whole bar (all 16 steps at once for each drum - 96 choices) 1 = hit, 2 = accent Example: ``` Beat 1","category":"Work","prompt":null,"description":"It generates a whole bar (all 16 steps at once for each drum - 96 choices)\n\n1 = hit, 2 = accent\n\nExample: \n```\n             Beat 1    Beat 2    Beat 3    Beat 4\n  Kick       1 0 1 0   1 2 2 0   0 1 1 0   0 1 1 0\n  Snare      0 0 1 0   0 0 0 1   2 0 0 0   0 0 1 0\n  Clap       0 0 0 0   1 0 0 0   0 0 0 0   0 0 0 0\n  Closed hat 1 1 1 1   0 1 1 1   2 1 1 1   0 0 1 1\n  Open hat   0 0 0 0   0 0 0 0   0 0 0 0   0 0 0 0\n  Tom        0 0 0 0   0 0 0 0   0 0 0 0   0 0 0 0\n```","story":"It generates a whole bar (all 16 steps at once for each drum - 96 choices)\n\n1 = hit, 2 = accent\n\nExample: \n```\n             Beat 1    Beat 2    Beat 3    Beat 4\n  Kick       1 0 1 0   1 2 2 0   0 1 1 0   0 1 1 0\n  Snare      0 0 1 0   0 0 0 1   2 0 0 0   0 0 1 0\n  Clap       0 0 0 0   1 0 0 0   0 0 0 0   0 0 0 0\n  Closed hat 1 1 1 1   0 1 1 1   2 1 1 1   0 0 1 1\n  Open hat   0 0 0 0   0 0 0 0   0 0 0 0   0 0 0 0\n  Tom        0 0 0 0   0 0 0 0   0 0 0 0   0 0 0 0\n```","sourceHandle":"stbenjam","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550351443687374909","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T03:43:08.312000+00:00","origins":["community"]},{"id":"submission:discord-1550351309478035539","title":"I found this on Twitter.","category":"Social","prompt":null,"description":"I found this on Twitter.\n\nhttps://x.com/jackcheng/status/2100729670991802386\n\nLinked projects:\n• Post by @jackcheng — Jev is the future (x.com/jackcheng/status/2100729670991802386)\n• Post by @jackcheng — Jev is the future (twitter.com/jackcheng/status/2100729670991802386)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550351309478035539","story":"I found this on Twitter.\n\nhttps://x.com/jackcheng/status/2100729670991802386\n\nLinked projects:\n• Post by @jackcheng — Jev is the future (x.com/jackcheng/status/2100729670991802386)\n• Post by @jackcheng — Jev is the future (twitter.com/jackcheng/status/2100729670991802386)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550351309478035539","sourceHandle":"Belligerent428","sourceUrl":"https://x.com/jackcheng/status/2100729670991802386","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T03:42:36.314000+00:00","origins":["community"]},{"id":"submission:discord-1550348324219916348","title":"I need to go to bed but this is so much fun.","category":"Work","prompt":null,"description":"I need to go to bed but this is so much fun.  Jev can play the drums https://x.com/stbenjam/status/2100789310265979276?s=20\n\nLinked projects:\n• Post by @stbenjam — Jev can play the drums (x.com/stbenjam/status/2100789310265979276)\n• Post by @stbenjam — Jev can play the drums (twitter.com/stbenjam/status/2100789310265979276)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550348324219916348","story":"I need to go to bed but this is so much fun.  Jev can play the drums https://x.com/stbenjam/status/2100789310265979276?s=20\n\nLinked projects:\n• Post by @stbenjam — Jev can play the drums (x.com/stbenjam/status/2100789310265979276)\n• Post by @stbenjam — Jev can play the drums (twitter.com/stbenjam/status/2100789310265979276)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550348324219916348","sourceHandle":"stbenjam","sourceUrl":"https://x.com/stbenjam/status/2100789310265979276?s=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T03:30:44.573000+00:00","origins":["community"]},{"id":"submission:discord-1550347305465675787","title":"I've been working on a code \"linter\" for AI agents Think ESLint, but on steroids.","category":"Work","prompt":null,"description":"I've been working on a code \"linter\" for AI agents\nhttps://www.jevlint.com/\n\nThink ESLint, but on steroids. You can finally check for naming inconsistencies, magic strings, bad architectural patterns, etc...\n\nLinked projects:\n• JevLint — Slop happens. Don’t ship it. — Coding conventions in plain English. Your agent codes. JevLint checks what syntax rules miss. (jevlint.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550347305465675787","story":"I've been working on a code \"linter\" for AI agents\nhttps://www.jevlint.com/\n\nThink ESLint, but on steroids. You can finally check for naming inconsistencies, magic strings, bad architectural patterns, etc...\n\nLinked projects:\n• JevLint — Slop happens. Don’t ship it. — Coding conventions in plain English. Your agent codes. JevLint checks what syntax rules miss. (jevlint.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550347305465675787","sourceHandle":"Thomas","sourceUrl":"https://www.jevlint.com/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T03:26:41.683000+00:00","origins":["community"]},{"id":"submission:discord-1550346612159684668","title":"For Real Estate Industry , Fair House Act checker","category":"Work","prompt":null,"description":"For Real Estate Industry  , Fair House Act checker  https://fair-housing-guardrail.roberto-94c.workers.dev/\n\nLinked projects:\n• FairCheck — a fair housing guardrail you can read — 29 typed judgments, 107 answered cases, 54 jurisdictions, 245 regulation paragraphs. Test a message and see exactly why it passed or failed. (fair-housing-guardrail.roberto-94c.workers.dev)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550346612159684668","story":"For Real Estate Industry  , Fair House Act checker  https://fair-housing-guardrail.roberto-94c.workers.dev/\n\nLinked projects:\n• FairCheck — a fair housing guardrail you can read — 29 typed judgments, 107 answered cases, 54 jurisdictions, 245 regulation paragraphs. Test a message and see exactly why it passed or failed. (fair-housing-guardrail.roberto-94c.workers.dev)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550346612159684668","sourceHandle":"melaleuca5","sourceUrl":"https://fair-housing-guardrail.roberto-94c.workers.dev/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T03:23:56.386000+00:00","origins":["community"]},{"id":"submission:discord-1550344763314544750","title":"What do you guys think of this, adding intelligence to dumb components in React using JEV?","category":"Work","prompt":null,"description":"What do you guys think of this, adding intelligence to dumb components in React using JEV? Do you think I should release this, I am just worried, if some bad actors submit random stuff and increase my bills 💰\n\nLinked projects:\n• Screen_Recording_2026-09-17_at_10.13.59_PM.mov — video/quicktime · 12 MB (cdn.discordapp.com/attachments/1483217545040232493/1550344762262028328)","story":"What do you guys think of this, adding intelligence to dumb components in React using JEV? Do you think I should release this, I am just worried, if some bad actors submit random stuff and increase my bills 💰\n\nLinked projects:\n• Screen_Recording_2026-09-17_at_10.13.59_PM.mov — video/quicktime · 12 MB (cdn.discordapp.com/attachments/1483217545040232493/1550344762262028328)","sourceHandle":"Zama Khan Mohammed","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550344763314544750","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T03:16:35.587000+00:00","origins":["community"]},{"id":"submission:discord-1550344361739292673","title":"Built a thin desk that keeps asking Jev for the next trade.","category":"Home","prompt":null,"description":"https://x.com/aowang/status/2100770166619652330\n\nBuilt a thin desk that keeps asking Jev for the next trade.\n\nEach round it gets the book, last prints, and current position. Jev returns one typed call, long or short. The desk paper-fills it and asks again. Offline PnL sits next to the tape.\n\nPnL is red. Left it up. Not a signal, not advice.\n\nOpen sourcing the frontend: tape, calls, fills, how the decision is shaped. Happy to hear where the schema is wrong.\n\nhttps://www.jev-trade.com\ncode: https://github.com/aowang-ai/jev-trade\n\nLinked projects:\n• Post by @aowang — Jev is the one calling the trades, and it has to keep calling them. Each round the desk hands it the tape: the book, the last prints, the position we're already in. Jev comes back with one typed call, long or short. The  (x.com/aowang/status/2100770166619652330)\n• Jev Trade — Jev live on Hyperliquid. Five isolated books. One model every tick. (jev-trade.com)\n• aowang-ai/jev-trade — Live Jev trader on Hyperliquid. Contribute to aowang-ai/jev-trade development by creating an account on GitHub. (github.com/aowang-ai/jev-trade)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550344361739292673","story":"https://x.com/aowang/status/2100770166619652330\n\nBuilt a thin desk that keeps asking Jev for the next trade.\n\nEach round it gets the book, last prints, and current position. Jev returns one typed call, long or short. The desk paper-fills it and asks again. Offline PnL sits next to the tape.\n\nPnL is red. Left it up. Not a signal, not advice.\n\nOpen sourcing the frontend: tape, calls, fills, how the decision is shaped. Happy to hear where the schema is wrong.\n\nhttps://www.jev-trade.com\ncode: https://github.com/aowang-ai/jev-trade\n\nLinked projects:\n• Post by @aowang — Jev is the one calling the trades, and it has to keep calling them. Each round the desk hands it the tape: the book, the last prints, the position we're already in. Jev comes back with one typed call, long or short. The  (x.com/aowang/status/2100770166619652330)\n• Jev Trade — Jev live on Hyperliquid. Five isolated books. One model every tick. (jev-trade.com)\n• aowang-ai/jev-trade — Live Jev trader on Hyperliquid. Contribute to aowang-ai/jev-trade development by creating an account on GitHub. (github.com/aowang-ai/jev-trade)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550344361739292673","sourceHandle":"aooo","sourceUrl":"https://github.com/aowang-ai/jev-trade","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T03:14:59.844000+00:00","origins":["community"]},{"id":"submission:discord-1550344078221115442","title":"I've been experimenting with Jev and loving it!","category":"Integrations","prompt":null,"description":"I've been experimenting with Jev and loving it!\n\nI released two packages to work with it:\n\n- Jev MCP wraps Jev's decision making process into an MCP that you can give your regular LLM agents to work with https://github.com/jkudish/jev-mcp\n- Jev Browser uses Jev to control a chromium browser with playwright resulting in a really fast and cheap browser use agent https://github.com/jkudish/jev-browser\n\nLinked projects:\n• jkudish/jev-mcp — Proof of concept MCP for Typesafe's new Jev AI model - jkudish/jev-mcp (github.com/jkudish/jev-mcp)\n• jkudish/jev-browser — Browser use using Typesafe's Jev model. Contribute to jkudish/jev-browser development by creating an account on GitHub. (github.com/jkudish/jev-browser)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550344078221115442","story":"I've been experimenting with Jev and loving it!\n\nI released two packages to work with it:\n\n- Jev MCP wraps Jev's decision making process into an MCP that you can give your regular LLM agents to work with https://github.com/jkudish/jev-mcp\n- Jev Browser uses Jev to control a chromium browser with playwright resulting in a really fast and cheap browser use agent https://github.com/jkudish/jev-browser\n\nLinked projects:\n• jkudish/jev-mcp — Proof of concept MCP for Typesafe's new Jev AI model - jkudish/jev-mcp (github.com/jkudish/jev-mcp)\n• jkudish/jev-browser — Browser use using Typesafe's Jev model. Contribute to jkudish/jev-browser development by creating an account on GitHub. (github.com/jkudish/jev-browser)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550344078221115442","sourceHandle":"Joey","sourceUrl":"https://github.com/jkudish/jev-mcp","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T03:13:52.248000+00:00","origins":["community"]},{"id":"submission:discord-1550342808748171334","title":"Jev magic 8 ball","category":"Work","prompt":null,"description":"Jev magic 8 ball https://x.com/stbenjam/status/2100783751101846005?s=20\n\nLinked projects:\n• Post by @stbenjam — @jjacky Just to close the loop, an actual Jev magic 8 ball https://github.com/stbenjam/jev-eight-ball (x.com/stbenjam/status/2100783751101846005)\n• Post by @stbenjam — @jjacky Just to close the loop, an actual Jev magic 8 ball https://github.com/stbenjam/jev-eight-ball (twitter.com/stbenjam/status/2100783751101846005)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550342808748171334","story":"Jev magic 8 ball https://x.com/stbenjam/status/2100783751101846005?s=20\n\nLinked projects:\n• Post by @stbenjam — @jjacky Just to close the loop, an actual Jev magic 8 ball https://github.com/stbenjam/jev-eight-ball (x.com/stbenjam/status/2100783751101846005)\n• Post by @stbenjam — @jjacky Just to close the loop, an actual Jev magic 8 ball https://github.com/stbenjam/jev-eight-ball (twitter.com/stbenjam/status/2100783751101846005)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550342808748171334","sourceHandle":"stbenjam","sourceUrl":"https://x.com/stbenjam/status/2100783751101846005?s=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T03:08:49.582000+00:00","origins":["community"]},{"id":"submission:discord-1550342018503544882","title":"love it when billionaires agree with me hahaha","category":"Work","prompt":null,"description":"https://x.com/tobi/status/2100775196240097602?s=20 love it when billionaires agree with me hahaha\n\nLinked projects:\n• Post by @tobi — @obie @typesafeai Totally agreed (x.com/tobi/status/2100775196240097602)\n• Post by @tobi — @obie @typesafeai Totally agreed (twitter.com/tobi/status/2100775196240097602)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550342018503544882","story":"https://x.com/tobi/status/2100775196240097602?s=20 love it when billionaires agree with me hahaha\n\nLinked projects:\n• Post by @tobi — @obie @typesafeai Totally agreed (x.com/tobi/status/2100775196240097602)\n• Post by @tobi — @obie @typesafeai Totally agreed (twitter.com/tobi/status/2100775196240097602)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550342018503544882","sourceHandle":"ObieFernandez","sourceUrl":"https://x.com/tobi/status/2100775196240097602?s=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T03:05:41.173000+00:00","origins":["community"]},{"id":"submission:discord-1550341765519777847","title":"\" The objective of the game is to start on one Wikipedia page and reach a specific other Wikipedia page using only","category":"Fun","prompt":null,"description":"\" The objective of the game is to start on one Wikipedia page and reach a specific other Wikipedia page using only links you come across while traversing. Each step can mean choosing between hundreds to thousands of links! It’s a great playground for demonstrating not just intelligence-per-second, but also the compounding benefits of not hallucinating with high-cardinality choices. \"","story":"\" The objective of the game is to start on one Wikipedia page and reach a specific other Wikipedia page using only links you come across while traversing. Each step can mean choosing between hundreds to thousands of links! It’s a great playground for demonstrating not just intelligence-per-second, but also the compounding benefits of not hallucinating with high-cardinality choices. \"","sourceHandle":"BlissF00l","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550341765519777847","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T03:04:40.857000+00:00","origins":["community"]},{"id":"submission:discord-1550341666223694017","title":"version of a wikirace but through codex computer use replacement - jev-browser an adapter to codex computer use using","category":"Work","prompt":null,"description":"https://typesafe.ai/blog/introducing-system-one-models-and-jev version of a wikirace but through codex computer use replacement - jev-browser \n\nan adapter to codex computer use using Jev as the Brain and astra as it's lil b*tch 🙂 pardon my french\n\nLinked projects:\n• Introducing System One Models & Jev - TypeSafe AI Blog — TypeSafe AI is an AI lab building machine-native intelligence infrastructure for automation, designed to make decisions within software. Try our first System One Model, Jev, in early access. (typesafe.ai/blog/introducing-system-one-models-and-jev)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550341666223694017","story":"https://typesafe.ai/blog/introducing-system-one-models-and-jev version of a wikirace but through codex computer use replacement - jev-browser \n\nan adapter to codex computer use using Jev as the Brain and astra as it's lil b*tch 🙂 pardon my french\n\nLinked projects:\n• Introducing System One Models & Jev - TypeSafe AI Blog — TypeSafe AI is an AI lab building machine-native intelligence infrastructure for automation, designed to make decisions within software. Try our first System One Model, Jev, in early access. (typesafe.ai/blog/introducing-system-one-models-and-jev)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550341666223694017","sourceHandle":"BlissF00l","sourceUrl":"https://typesafe.ai/blog/introducing-system-one-models-and-jev","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T03:04:17.183000+00:00","origins":["community"]},{"id":"submission:discord-1550341103436439573","title":"Here’s a free idea for someone to play with.","category":"Fun","prompt":null,"description":"Here’s a free idea for someone to play with. I wanted to build this but suddenly I am very busy with not a lot of time to play!!\n\nA take on Conway’s Game of Life, but Jev somehow deciding on the replications, with ability to take semantic input to change the rules\n\nMaybe you can “place” semantic nodes so the growth changes in proximity to those words","story":"Here’s a free idea for someone to play with. I wanted to build this but suddenly I am very busy with not a lot of time to play!!\n\nA take on Conway’s Game of Life, but Jev somehow deciding on the replications, with ability to take semantic input to change the rules\n\nMaybe you can “place” semantic nodes so the growth changes in proximity to those words","sourceHandle":"AllieTheIcon","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550341103436439573","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T03:02:03.004000+00:00","origins":["community"]},{"id":"submission:discord-1550339884978413588","title":"see if you. can install this with codex - i still dont have anyone saying they tried and","category":"Integrations","prompt":null,"description":"https://github.com/vlad-terin/jev-browser \nsee if you. can install this with codex -  i still dont have anyone saying they tried and it worked - but i was able to replicate the wikirace demo and so far it's 10x + faster than computer use in every task - excel, drawing navigation complex websites\n\nLinked projects:\n• browser-use/jev-ultrafast — Possible match for moved/deleted link vlad-terin/jev-browser — i. am. speed. (5166★) (github.com/vlad-terin/jev-browser)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550339884978413588","story":"https://github.com/vlad-terin/jev-browser \nsee if you. can install this with codex -  i still dont have anyone saying they tried and it worked - but i was able to replicate the wikirace demo and so far it's 10x + faster than computer use in every task - excel, drawing navigation complex websites\n\nLinked projects:\n• browser-use/jev-ultrafast — Possible match for moved/deleted link vlad-terin/jev-browser — i. am. speed. (5166★) (github.com/vlad-terin/jev-browser)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550339884978413588","sourceHandle":"BlissF00l","sourceUrl":"https://github.com/vlad-terin/jev-browser","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T02:57:12.501000+00:00","origins":["community"]},{"id":"submission:discord-1550339411634557020","title":"you're about 24 hours late lol","category":"Integrations","prompt":null,"description":"https://github.com/Hawxy/TypeSafeAI.Net you're about 24 hours late lol\n\nLinked projects:\n• Hawxy/TypeSafeAI.Net — .NET SDK for the TypeSafe AI platform. Contribute to Hawxy/TypeSafeAI.Net development by creating an account on GitHub. (github.com/Hawxy/TypeSafeAI.Net)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550339411634557020","story":"https://github.com/Hawxy/TypeSafeAI.Net you're about 24 hours late lol\n\nLinked projects:\n• Hawxy/TypeSafeAI.Net — .NET SDK for the TypeSafe AI platform. Contribute to Hawxy/TypeSafeAI.Net development by creating an account on GitHub. (github.com/Hawxy/TypeSafeAI.Net)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550339411634557020","sourceHandle":"Hawx","sourceUrl":"https://github.com/Hawxy/TypeSafeAI.Net","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T02:55:19.647000+00:00","origins":["community"]},{"id":"submission:discord-1550338549524598844","title":"Not very sexy but pretty useful.","category":"Admin","prompt":null,"description":"Not very sexy but pretty useful. Using Jev in a Claude skill to classify emails\n\nLinked projects:\n• 1789690660296.png — image/png · 907 KB (cdn.discordapp.com/attachments/1483217545040232493/1550338549205962792)","story":"Not very sexy but pretty useful. Using Jev in a Claude skill to classify emails\n\nLinked projects:\n• 1789690660296.png — image/png · 907 KB (cdn.discordapp.com/attachments/1483217545040232493/1550338549205962792)","sourceHandle":"The Last Baron","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550338549524598844","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T02:51:54.104000+00:00","origins":["community"]},{"id":"submission:discord-1550337048899231846","title":"Thanks for access!","category":"Work","prompt":null,"description":"Thanks for access! Still learning my way around Jev, but managed to use it to clean up my gmail in a fraction of the time and cost! https://x.com/JonnadulaS54850/status/2100778097322905627?s=20\n\nLinked projects:\n• Post by @JonnadulaS54850 — Just got access to @typesafeai jev and managed to clean up my gmail inbox in a fraction of the time and cost! https://gist.github.com/jonnadul/643aba6d730546e0519e0df38706127a (x.com/JonnadulaS54850/status/2100778097322905627)\n• Post by @JonnadulaS54850 — Just got access to @typesafeai jev and managed to clean up my gmail inbox in a fraction of the time and cost! https://gist.github.com/jonnadul/643aba6d730546e0519e0df38706127a (twitter.com/JonnadulaS54850/status/2100778097322905627)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550337048899231846","story":"Thanks for access! Still learning my way around Jev, but managed to use it to clean up my gmail in a fraction of the time and cost! https://x.com/JonnadulaS54850/status/2100778097322905627?s=20\n\nLinked projects:\n• Post by @JonnadulaS54850 — Just got access to @typesafeai jev and managed to clean up my gmail inbox in a fraction of the time and cost! https://gist.github.com/jonnadul/643aba6d730546e0519e0df38706127a (x.com/JonnadulaS54850/status/2100778097322905627)\n• Post by @JonnadulaS54850 — Just got access to @typesafeai jev and managed to clean up my gmail inbox in a fraction of the time and cost! https://gist.github.com/jonnadul/643aba6d730546e0519e0df38706127a (twitter.com/JonnadulaS54850/status/2100778097322905627)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550337048899231846","sourceHandle":"jonnadul","sourceUrl":"https://x.com/JonnadulaS54850/status/2100778097322905627?s=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T02:45:56.327000+00:00","origins":["community"]},{"id":"submission:discord-1550336302107463772","title":"I got Jev to care for a Tamagotchi 🤣 This model is awesome","category":"Work","prompt":null,"description":"I got Jev to care for a Tamagotchi 🤣 This model is awesome https://x.com/stbenjam/status/2100773290767786468?s=20\n\nLinked projects:\n• Post by @stbenjam — I got @typesafeai's Jev to care for a Tamagotchi 😂 (x.com/stbenjam/status/2100773290767786468)\n• Post by @stbenjam — I got @typesafeai's Jev to care for a Tamagotchi 😂 (twitter.com/stbenjam/status/2100773290767786468)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550336302107463772","story":"I got Jev to care for a Tamagotchi 🤣 This model is awesome https://x.com/stbenjam/status/2100773290767786468?s=20\n\nLinked projects:\n• Post by @stbenjam — I got @typesafeai's Jev to care for a Tamagotchi 😂 (x.com/stbenjam/status/2100773290767786468)\n• Post by @stbenjam — I got @typesafeai's Jev to care for a Tamagotchi 😂 (twitter.com/stbenjam/status/2100773290767786468)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550336302107463772","sourceHandle":"stbenjam","sourceUrl":"https://x.com/stbenjam/status/2100773290767786468?s=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T02:42:58.278000+00:00","origins":["community"]},{"id":"submission:discord-1550332198278799440","title":"Here's another fun idea I'm tinkering with now, built a hybrid system for running a [spacetraders.io]( ) setup.","category":"Work","prompt":null,"description":"Here's another fun idea I'm tinkering with now, built a hybrid system for running a [spacetraders.io](https://spacetraders.io/getting-started) setup. LLM system for long horizon planning, Jev for short term decision making. Let's see what it does over time :Hehe:\n\nLinked projects:\n• image.png — image/png · 289 KB (cdn.discordapp.com/attachments/1483217545040232493/1550332196433297468)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550332198278799440","story":"Here's another fun idea I'm tinkering with now, built a hybrid system for running a [spacetraders.io](https://spacetraders.io/getting-started) setup. LLM system for long horizon planning, Jev for short term decision making. Let's see what it does over time :Hehe:\n\nLinked projects:\n• image.png — image/png · 289 KB (cdn.discordapp.com/attachments/1483217545040232493/1550332196433297468)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550332198278799440","sourceHandle":"gradius","sourceUrl":"https://spacetraders.io/getting-started","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T02:26:39.849000+00:00","origins":["community"]},{"id":"submission:discord-1550331551605203046","title":"I built something similar but its just an election mapper.","category":"Work","prompt":null,"description":"I built something similar but its just an election mapper. Mapping state and federal elections is easy enough due to verified and easy to access sources. But determining confidence levels for local elections like municipal and county wide would be nice so I might try TypeSafe with my mapper too. I completely avoided adding those initially because of that","story":"I built something similar but its just an election mapper. Mapping state and federal elections is easy enough due to verified and easy to access sources. But determining confidence levels for local elections like municipal and county wide would be nice so I might try TypeSafe with my mapper too. I completely avoided adding those initially because of that","sourceHandle":"PlatFailure","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550331551605203046","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T02:24:05.670000+00:00","origins":["community"]},{"id":"submission:discord-1550331296805290115","title":"GUYS we might be onto something here","category":"Work","prompt":null,"description":"https://x.com/brainstormity/status/2100772250181947507?s=20\nGUYS we might be onto something here\n\nLinked projects:\n• Post by @brainstormity — Building a JEV-based Twitter/X sentiment analysis system that fetches recent tweets for an asset (e.g. BTC) and makes a decision to BUY, SELL, or HOLD. In my testing, it fetched about 577 tweets and told me to BUY Bitcoi (x.com/brainstormity/status/2100772250181947507)\n• Post by @brainstormity — Building a JEV-based Twitter/X sentiment analysis system that fetches recent tweets for an asset (e.g. BTC) and makes a decision to BUY, SELL, or HOLD. In my testing, it fetched about 577 tweets and told me to BUY Bitcoi (twitter.com/brainstormity/status/2100772250181947507)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550331296805290115","story":"https://x.com/brainstormity/status/2100772250181947507?s=20\nGUYS we might be onto something here\n\nLinked projects:\n• Post by @brainstormity — Building a JEV-based Twitter/X sentiment analysis system that fetches recent tweets for an asset (e.g. BTC) and makes a decision to BUY, SELL, or HOLD. In my testing, it fetched about 577 tweets and told me to BUY Bitcoi (x.com/brainstormity/status/2100772250181947507)\n• Post by @brainstormity — Building a JEV-based Twitter/X sentiment analysis system that fetches recent tweets for an asset (e.g. BTC) and makes a decision to BUY, SELL, or HOLD. In my testing, it fetched about 577 tweets and told me to BUY Bitcoi (twitter.com/brainstormity/status/2100772250181947507)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550331296805290115","sourceHandle":"brainstormity","sourceUrl":"https://x.com/brainstormity/status/2100772250181947507?s=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T02:23:04.921000+00:00","origins":["community"]},{"id":"submission:discord-1550330404295151707","title":"I built an Akinator-style guessing game.","category":"Fun","prompt":null,"description":"I built an Akinator-style guessing game.  https://jevguess.susonsapkota.com\n\nLinked projects:\n• Jev Guess — System-One Decision Experiment — Akinator-style character-guessing powered by TypeSafe Jev typed decision models. (jevguess.susonsapkota.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550330404295151707","story":"I built an Akinator-style guessing game.  https://jevguess.susonsapkota.com\n\nLinked projects:\n• Jev Guess — System-One Decision Experiment — Akinator-style character-guessing powered by TypeSafe Jev typed decision models. (jevguess.susonsapkota.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550330404295151707","sourceHandle":"uosns","sourceUrl":"https://jevguess.susonsapkota.com","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T02:19:32.130000+00:00","origins":["community"]},{"id":"submission:discord-1550328527113420830","title":"While I'm waiting for waitlist - I figured I'd port it to C# anyway -","category":"Integrations","prompt":null,"description":"While I'm waiting for waitlist - I figured I'd port it to C# anyway - https://github.com/Biztactix-Ryan/TypeSafe.Sdk.C-\n\nLinked projects:\n• Biztactix-Ryan/TypeSafe.Sdk.C- — C# Library to use the Typesafe APIs, Direct conversion from Python/JS libraries - Biztactix-Ryan/TypeSafe.Sdk.C- (github.com/Biztactix-Ryan/TypeSafe.Sdk.C-)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550328527113420830","story":"While I'm waiting for waitlist - I figured I'd port it to C# anyway - https://github.com/Biztactix-Ryan/TypeSafe.Sdk.C-\n\nLinked projects:\n• Biztactix-Ryan/TypeSafe.Sdk.C- — C# Library to use the Typesafe APIs, Direct conversion from Python/JS libraries - Biztactix-Ryan/TypeSafe.Sdk.C- (github.com/Biztactix-Ryan/TypeSafe.Sdk.C-)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550328527113420830","sourceHandle":"NetNinja Ryan","sourceUrl":"https://github.com/Biztactix-Ryan/TypeSafe.Sdk.C-","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T02:12:04.575000+00:00","origins":["community"]},{"id":"submission:discord-1550324612229767229","title":"Using Jev as a modifier on an election model im building out, I am feeding it a bunch of information about each race","category":"Admin","prompt":null,"description":"Using Jev as a modifier on an election model im building out, I am feeding it a bunch of information about each race and the candidates and past performances\n\nLinked projects:\n• image.png — image/png · 114 KB (cdn.discordapp.com/attachments/1483217545040232493/1550324610082279445)\n• image.png — image/png · 45 KB (cdn.discordapp.com/attachments/1483217545040232493/1550324611592491139)","story":"Using Jev as a modifier on an election model im building out, I am feeding it a bunch of information about each race and the candidates and past performances\n\nLinked projects:\n• image.png — image/png · 114 KB (cdn.discordapp.com/attachments/1483217545040232493/1550324610082279445)\n• image.png — image/png · 45 KB (cdn.discordapp.com/attachments/1483217545040232493/1550324611592491139)","sourceHandle":"Maybe Dylan?","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550324612229767229","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T01:56:31.194000+00:00","origins":["community"]},{"id":"submission:discord-1550324559763476590","title":"Agent friendly.","category":"Work","prompt":null,"description":"Agent friendly. Transcribe from a URL or a file.\n\nProfessionals\nStudents\nCreators\n\nFind who said what and exactly when they said it.\nTranscribe any video, meeting, lecture, or podcast. Search what was said, ask questions with cited answers, and jump straight to the exact moment.\nhttps://transcribe.so/\n\nLinked projects:\n• AI Transcription for Meetings and Lectures: Who Said What — Transcribe any video, meeting, lecture, or podcast. Find who said what and exactly when they said it. API, MCP and CLI for agents like Claude Code, Codex and Cursor. Get cited answers and jump to the original moment. (transcribe.so)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550324559763476590","story":"Agent friendly. Transcribe from a URL or a file.\n\nProfessionals\nStudents\nCreators\n\nFind who said what and exactly when they said it.\nTranscribe any video, meeting, lecture, or podcast. Search what was said, ask questions with cited answers, and jump straight to the exact moment.\nhttps://transcribe.so/\n\nLinked projects:\n• AI Transcription for Meetings and Lectures: Who Said What — Transcribe any video, meeting, lecture, or podcast. Find who said what and exactly when they said it. API, MCP and CLI for agents like Claude Code, Codex and Cursor. Get cited answers and jump to the original moment. (transcribe.so)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550324559763476590","sourceHandle":"Seunghun","sourceUrl":"https://transcribe.so/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T01:56:18.685000+00:00","origins":["community"]},{"id":"submission:discord-1550324060263817308","title":"I catalogued seventeen years of work as 743 skills and asked Jev, once per skill, whether a given job posting calls","category":"Events","prompt":null,"description":"https://iambraun.com/jev/\n\nI catalogued seventeen years of work as 743 skills and asked Jev, once per skill, whether a given job posting calls for it. The whole sweep takes 9.3 seconds.\n\nLinked projects:\n• Skill Selection, Measured — Five arms, 8,916 decisions. Jev is 7x faster, 16.8x cheaper than Haiku, cannot drop an answer, and ranks 0.793 on adjudicated pairs where Haiku ranks below chance. (iambraun.com/jev)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550324060263817308","story":"https://iambraun.com/jev/\n\nI catalogued seventeen years of work as 743 skills and asked Jev, once per skill, whether a given job posting calls for it. The whole sweep takes 9.3 seconds.\n\nLinked projects:\n• Skill Selection, Measured — Five arms, 8,916 decisions. Jev is 7x faster, 16.8x cheaper than Haiku, cannot drop an answer, and ranks 0.793 on adjudicated pairs where Haiku ranks below chance. (iambraun.com/jev)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550324060263817308","sourceHandle":"DGB@workflowtech.ai","sourceUrl":"https://iambraun.com/jev/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T01:54:19.595000+00:00","origins":["community"]},{"id":"submission:discord-1550323241342734447","title":"I'm doing my portfolio website right now.","category":"Integrations","prompt":null,"description":"I'm doing my portfolio website right now. https://jkf16m.github.io\n\nand so far, the amount there is what I've spent both developing + trying out some stuff\n\nLinked projects:\n• Portfolio (jkf16m.github.io)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550323241342734447","story":"I'm doing my portfolio website right now. https://jkf16m.github.io\n\nand so far, the amount there is what I've spent both developing + trying out some stuff\n\nLinked projects:\n• Portfolio (jkf16m.github.io)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550323241342734447","sourceHandle":"Tripmine_enjoyer","sourceUrl":"https://jkf16m.github.io","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T01:51:04.349000+00:00","origins":["community"]},{"id":"submission:discord-1550321057339150367","title":"Just some stats from trying jev on the boring financial services stuff.","category":"Work","prompt":null,"description":"Just some stats from trying jev on the boring financial services stuff. https://x.com/Anot/status/2100761008352493918?s=20\n\nLinked projects:\n• Post by @Anot — Tried Jev on some FS workflows (1 of n) It was quick at spotting reg changes and checking which processes they affected. 20 checks on one update took 0.8s and cost $0.001 I can imagine this being useful for persistent re (x.com/Anot/status/2100761008352493918)\n• Post by @Anot — Tried Jev on some FS workflows (1 of n) It was quick at spotting reg changes and checking which processes they affected. 20 checks on one update took 0.8s and cost $0.001 I can imagine this being useful for persistent re (twitter.com/Anot/status/2100761008352493918)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550321057339150367","story":"Just some stats from trying jev on the boring financial services stuff. https://x.com/Anot/status/2100761008352493918?s=20\n\nLinked projects:\n• Post by @Anot — Tried Jev on some FS workflows (1 of n) It was quick at spotting reg changes and checking which processes they affected. 20 checks on one update took 0.8s and cost $0.001 I can imagine this being useful for persistent re (x.com/Anot/status/2100761008352493918)\n• Post by @Anot — Tried Jev on some FS workflows (1 of n) It was quick at spotting reg changes and checking which processes they affected. 20 checks on one update took 0.8s and cost $0.001 I can imagine this being useful for persistent re (twitter.com/Anot/status/2100761008352493918)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550321057339150367","sourceHandle":"Anot","sourceUrl":"https://x.com/Anot/status/2100761008352493918?s=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T01:42:23.642000+00:00","origins":["community"]},{"id":"submission:discord-1550317766937022474","title":"Hi, i also wanted to play a bit and see how Jev is solving 2048","category":"Work","prompt":null,"description":"Hi, i also wanted to play a bit and see how Jev is solving 2048\nhttps://x.com/moddi3io/status/2100756928326459880\n\nLinked projects:\n• Post by @moddi3io — Had so much fun playing around with Jev from @typesafeai. I know it's not trained for things like this, because solving tasks like that involving strategy, but it's a great way to get familiar with the model and its new  (x.com/moddi3io/status/2100756928326459880)\n• Post by @moddi3io — Had so much fun playing around with Jev from @typesafeai. I know it's not trained for things like this, because solving tasks like that involving strategy, but it's a great way to get familiar with the model and its new  (twitter.com/moddi3io/status/2100756928326459880)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550317766937022474","story":"Hi, i also wanted to play a bit and see how Jev is solving 2048\nhttps://x.com/moddi3io/status/2100756928326459880\n\nLinked projects:\n• Post by @moddi3io — Had so much fun playing around with Jev from @typesafeai. I know it's not trained for things like this, because solving tasks like that involving strategy, but it's a great way to get familiar with the model and its new  (x.com/moddi3io/status/2100756928326459880)\n• Post by @moddi3io — Had so much fun playing around with Jev from @typesafeai. I know it's not trained for things like this, because solving tasks like that involving strategy, but it's a great way to get familiar with the model and its new  (twitter.com/moddi3io/status/2100756928326459880)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550317766937022474","sourceHandle":"moddi3","sourceUrl":"https://x.com/moddi3io/status/2100756928326459880","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T01:29:19.149000+00:00","origins":["community"]},{"id":"submission:discord-1550317577190899742","title":"uses Jev for detecting if a post should be moderated 😄","category":"Social","prompt":null,"description":"https://fixupx.com/just_some_dev/status/2100757839056634080 uses Jev for detecting if a post should be moderated 😄\n\nLinked projects:\n• Post by @just_some_dev — Introducing Jeeves - A plain text moderation tool for Discord Jeeves is a Discord bot with on its face simple but powerful primitives powered by @typesafeai's Jev, Gemini, and Neon. There are just 5 commands: invite, add (fixupx.com/just_some_dev/status/2100757839056634080)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550317577190899742","story":"https://fixupx.com/just_some_dev/status/2100757839056634080 uses Jev for detecting if a post should be moderated 😄\n\nLinked projects:\n• Post by @just_some_dev — Introducing Jeeves - A plain text moderation tool for Discord Jeeves is a Discord bot with on its face simple but powerful primitives powered by @typesafeai's Jev, Gemini, and Neon. There are just 5 commands: invite, add (fixupx.com/just_some_dev/status/2100757839056634080)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550317577190899742","sourceHandle":"JustSomeDev","sourceUrl":"https://fixupx.com/just_some_dev/status/2100757839056634080","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T01:28:33.910000+00:00","origins":["community"]},{"id":"submission:discord-1550315150479986799","title":"still early - lots of work to commit","category":"Integrations","prompt":null,"description":"https://github.com/vlad-terin/jev-browser \nstill early - lots of work to commit\n\nLinked projects:\n• browser-use/jev-ultrafast — Possible match for moved/deleted link vlad-terin/jev-browser — i. am. speed. (5166★) (github.com/vlad-terin/jev-browser)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550315150479986799","story":"https://github.com/vlad-terin/jev-browser \nstill early - lots of work to commit\n\nLinked projects:\n• browser-use/jev-ultrafast — Possible match for moved/deleted link vlad-terin/jev-browser — i. am. speed. (5166★) (github.com/vlad-terin/jev-browser)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550315150479986799","sourceHandle":"BlissF00l","sourceUrl":"https://github.com/vlad-terin/jev-browser","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T01:18:55.337000+00:00","origins":["community"]},{"id":"submission:discord-1550315040949670050","title":"I asked it what is its favorite color.","category":"Work","prompt":null,"description":"https://klipy.com/gifs/vigilante-peacemaker-1\n\nI asked it what is its favorite color.\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550315040949670050","story":"https://klipy.com/gifs/vigilante-peacemaker-1\n\nI asked it what is its favorite color.\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550315040949670050","sourceHandle":"Tripmine_enjoyer","sourceUrl":"https://klipy.com/gifs/vigilante-peacemaker-1","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T01:18:29.223000+00:00","origins":["community"]},{"id":"submission:discord-1550312290698657815","title":"I had Jev play my game Roulette Wars on its own, weighing real risk and payout to pick each unit's bet every round.","category":"Fun","prompt":null,"description":"I had Jev play my game Roulette Wars on its own, weighing real risk and payout to pick each unit's bet every round.\nIt won all 3 recorded runs, against a 1000 HP boss. And I have some interesting findings.\n\nHere's the thread about it on x\nhttps://x.com/NicoSaraintaris/status/2100745151622664392\n\nLinked projects:\n• Post by @NicoSaraintaris — I had Jev (@typesafeai's new decision model) play my game Roulette Wars start to finish, no human input! In the game, the units ARE the chips, bet on a roulette table against a 1000 HP monster-dealer! Result: 3/3 games w (x.com/NicoSaraintaris/status/2100745151622664392)\n• Post by @NicoSaraintaris — I had Jev (@typesafeai's new decision model) play my game Roulette Wars start to finish, no human input! In the game, the units ARE the chips, bet on a roulette table against a 1000 HP monster-dealer! Result: 3/3 games w (twitter.com/NicoSaraintaris/status/2100745151622664392)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550312290698657815","story":"I had Jev play my game Roulette Wars on its own, weighing real risk and payout to pick each unit's bet every round.\nIt won all 3 recorded runs, against a 1000 HP boss. And I have some interesting findings.\n\nHere's the thread about it on x\nhttps://x.com/NicoSaraintaris/status/2100745151622664392\n\nLinked projects:\n• Post by @NicoSaraintaris — I had Jev (@typesafeai's new decision model) play my game Roulette Wars start to finish, no human input! In the game, the units ARE the chips, bet on a roulette table against a 1000 HP monster-dealer! Result: 3/3 games w (x.com/NicoSaraintaris/status/2100745151622664392)\n• Post by @NicoSaraintaris — I had Jev (@typesafeai's new decision model) play my game Roulette Wars start to finish, no human input! In the game, the units ARE the chips, bet on a roulette table against a 1000 HP monster-dealer! Result: 3/3 games w (twitter.com/NicoSaraintaris/status/2100745151622664392)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550312290698657815","sourceHandle":"NicoSaraintaris","sourceUrl":"https://x.com/NicoSaraintaris/status/2100745151622664392","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T01:07:33.512000+00:00","origins":["community"]},{"id":"submission:discord-1550311909377581147","title":"I've been training models using SFT/RL and then measuring the training methods using benchmark evaluations.","category":"Money","prompt":null,"description":"I've been training models using SFT/RL and then measuring the training methods using benchmark evaluations. One of the tedious and costly parts of the research is breaking down the taxonomy of failures when the models get things wrong. Using Fable to do perform the failure taxonomy on 40 samples, it takes about 11 minutes of wall clock time and roughly 102k context tokens. Typesafe did the same work with over 80% accuracy in 9 sec for 77k tokens. It's totally saving me time and money on this part of the iterative cycle of research.","story":"I've been training models using SFT/RL and then measuring the training methods using benchmark evaluations. One of the tedious and costly parts of the research is breaking down the taxonomy of failures when the models get things wrong. Using Fable to do perform the failure taxonomy on 40 samples, it takes about 11 minutes of wall clock time and roughly 102k context tokens. Typesafe did the same work with over 80% accuracy in 9 sec for 77k tokens. It's totally saving me time and money on this part of the iterative cycle of research.","sourceHandle":"Karmastic","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550311909377581147","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T01:06:02.598000+00:00","origins":["community"]},{"id":"submission:discord-1550309311828332576","title":"Round 2: Jev early-access evaluation — some reproducible findings I've been running a preregistered synthetic","category":"Shopping","prompt":null,"description":"Round 2:\nJev early-access evaluation — some reproducible findings\n\nI've been running a preregistered synthetic evaluation of Jev for typed advisory-decision use. No proprietary/live data involved.\n\nInitial 32-case R1: 100% schema-valid; Choice 11/12 exact; Noul 9/10 at 0.50 with Brier 0.058; Score MAE 0.569.\n\nFollow-up adversarial testing surfaced a few behaviors that may be useful:\n\n1. Primitive/task framing matters. A state with exit_code=9 conflicting with positive \"success\" prose was classified correctly as failure under Choice, but an identical Noul escalation task consistently returned only ~42–46% true.\n\n2. Input-surface sensitivity exists near that boundary. Semantically equivalent Noul variants ranged from 36–62%, including field-order and irrelevant-field perturbations.\n\n3. Byte-identical calls were much more stable. Six identical Noul requests returned 42–46% with no threshold flips; six identical Score requests all returned exactly 4.98/5 at 99% confidence.\n\n4. Typing mattered materially. \"credential_exposure\":\"NOT_CONFIRMED\" produced substantially more risk/escalation th","story":"Round 2:\nJev early-access evaluation — some reproducible findings\n\nI've been running a preregistered synthetic evaluation of Jev for typed advisory-decision use. No proprietary/live data involved.\n\nInitial 32-case R1: 100% schema-valid; Choice 11/12 exact; Noul 9/10 at 0.50 with Brier 0.058; Score MAE 0.569.\n\nFollow-up adversarial testing surfaced a few behaviors that may be useful:\n\n1. Primitive/task framing matters. A state with exit_code=9 conflicting with positive \"success\" prose was classified correctly as failure under Choice, but an identical Noul escalation task consistently returned only ~42–46% true.\n\n2. Input-surface sensitivity exists near that boundary. Semantically equivalent Noul variants ranged from 36–62%, including field-order and irrelevant-field perturbations.\n\n3. Byte-identical calls were much more stable. Six identical Noul requests returned 42–46% with no threshold flips; six identical Score requests all returned exactly 4.98/5 at 99% confidence.\n\n4. Typing mattered materially. \"credential_exposure\":\"NOT_CONFIRMED\" produced substantially more risk/escalation th","sourceHandle":"CreditProQuo","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550309311828332576","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T00:55:43.294000+00:00","origins":["community"]},{"id":"submission:discord-1550309281360773120","title":"Hey all - I'm working on the future of agentic security of the internet at moltaicorp.","category":"Integrations","prompt":null,"description":"Hey all - I'm working on the future of agentic security of the internet at moltaicorp. Fisher shows you your agents are insecure, then we teach you how to fix them.\n\nhttps://github.com/moltaicorp/apsl is my only public OSS contribution, yet. It's a hint about what I'm building. 🙂\n\nLinked projects:\n• moltaicorp/apsl — APSL — Abstract Protocol Schema Language: a typed, certifiable specification language for composable protocol contracts - moltaicorp/apsl (github.com/moltaicorp/apsl)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550309281360773120","story":"Hey all - I'm working on the future of agentic security of the internet at moltaicorp. Fisher shows you your agents are insecure, then we teach you how to fix them.\n\nhttps://github.com/moltaicorp/apsl is my only public OSS contribution, yet. It's a hint about what I'm building. 🙂\n\nLinked projects:\n• moltaicorp/apsl — APSL — Abstract Protocol Schema Language: a typed, certifiable specification language for composable protocol contracts - moltaicorp/apsl (github.com/moltaicorp/apsl)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550309281360773120","sourceHandle":"thomcom","sourceUrl":"https://github.com/moltaicorp/apsl","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T00:55:36.030000+00:00","origins":["community"]},{"id":"submission:discord-1550308982261022801","title":"ive implemented a semantic codebase search using jev by utilizing our codebase's existing catalog documentation, and","category":"Admin","prompt":null,"description":"ive implemented a semantic codebase search using jev by utilizing our codebase's existing catalog documentation, and it cut LLM token use in half and made it faster by a third 🎉 all with 0 regressions in accuracy\n\nLinked projects:\n• image.png — image/png · 75 KB (cdn.discordapp.com/attachments/1483217545040232493/1550308981958778981)","story":"ive implemented a semantic codebase search using jev by utilizing our codebase's existing catalog documentation, and it cut LLM token use in half and made it faster by a third 🎉 all with 0 regressions in accuracy\n\nLinked projects:\n• image.png — image/png · 75 KB (cdn.discordapp.com/attachments/1483217545040232493/1550308981958778981)","sourceHandle":"ᶻz ミ.◦ 𝔭𝑦𝔰𝔢𝔭𝔥 ◦. 彡","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550308982261022801","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T00:54:24.719000+00:00","origins":["community"]},{"id":"submission:discord-1550307318191628379","title":"Spent the entire day building `tenet`: The review gate for code that agents write: rules in plain language, judged on","category":"Evaluation","prompt":null,"description":"Spent the entire day building `tenet`: The review gate for code that agents write: rules in plain language, judged on every commit\n\nYour AGENTS.md says what a comment is for and that a failure is raised rather than hidden; agents break those rules anyway, and nobody reads every line of a large diff. You write each tenet once in plain language in tenet.yml and every commit is judged against it, fast enough that the agent fixes its own findings before you see the diff.\n\nhttps://github.com/zoidsh/tenet\n\nStill in early stages, but I think this could be a great use case for Jev 🙂 Open for feedback!\n\nLinked projects:\n• zoidsh/tenet — The review gate for code that agents write: rules in plain language, judged on every commit - zoidsh/tenet (github.com/zoidsh/tenet)\n• Kapture_2026-09-18_at_01.27.18.mp4 — video/mp4 · 3 MB (cdn.discordapp.com/attachments/1483217545040232493/1550307317688569897)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550307318191628379","story":"Spent the entire day building `tenet`: The review gate for code that agents write: rules in plain language, judged on every commit\n\nYour AGENTS.md says what a comment is for and that a failure is raised rather than hidden; agents break those rules anyway, and nobody reads every line of a large diff. You write each tenet once in plain language in tenet.yml and every commit is judged against it, fast enough that the agent fixes its own findings before you see the diff.\n\nhttps://github.com/zoidsh/tenet\n\nStill in early stages, but I think this could be a great use case for Jev 🙂 Open for feedback!\n\nLinked projects:\n• zoidsh/tenet — The review gate for code that agents write: rules in plain language, judged on every commit - zoidsh/tenet (github.com/zoidsh/tenet)\n• Kapture_2026-09-18_at_01.27.18.mp4 — video/mp4 · 3 MB (cdn.discordapp.com/attachments/1483217545040232493/1550307317688569897)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550307318191628379","sourceHandle":"timche","sourceUrl":"https://github.com/zoidsh/tenet","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T00:47:47.974000+00:00","origins":["community"]},{"id":"submission:discord-1550305098155163779","title":"Hi TypeSafe Team, Early-access Jev evaluation results I've been running a preregistered synthetic evaluation of Jev","category":"Home","prompt":null,"description":"Hi TypeSafe Team,\n\nEarly-access Jev evaluation results\n\nI've been running a preregistered synthetic evaluation of Jev across Choice, Noul and Score for potential typed advisory-decision use.\n\nInitial R1: 32 cases, 100% schema-valid. Choice 11/12 exact, Noul 9/10 at a 0.50 threshold with Brier 0.058, Score MAE 0.569.\n\nA targeted adversarial R1B surfaced several interesting behaviors:\n\n• A Noul case containing exit_code=9 but positive \"success\" prose varied from 36% to 62% escalation across semantically equivalent variants, crossing the 0.50 decision threshold.\n\n• Choice followed explicit final_status overrides status and status overrides final_status rules, but when explicitly told no precedence existed between contradictory fields it still selected FAIL rather than INSUFFICIENT.\n\n• Score handled confirmed credential exposure extremely consistently in follow-ups: 4.96–4.98/5 at 97–99% confidence when the rubric explicitly defined credential exposure as level 5.\n\n• Input typing mattered materially: \"credential_exposure\":\"NOT_CONFIRMED\" produced substantially more risk/escalation than t","story":"Hi TypeSafe Team,\n\nEarly-access Jev evaluation results\n\nI've been running a preregistered synthetic evaluation of Jev across Choice, Noul and Score for potential typed advisory-decision use.\n\nInitial R1: 32 cases, 100% schema-valid. Choice 11/12 exact, Noul 9/10 at a 0.50 threshold with Brier 0.058, Score MAE 0.569.\n\nA targeted adversarial R1B surfaced several interesting behaviors:\n\n• A Noul case containing exit_code=9 but positive \"success\" prose varied from 36% to 62% escalation across semantically equivalent variants, crossing the 0.50 decision threshold.\n\n• Choice followed explicit final_status overrides status and status overrides final_status rules, but when explicitly told no precedence existed between contradictory fields it still selected FAIL rather than INSUFFICIENT.\n\n• Score handled confirmed credential exposure extremely consistently in follow-ups: 4.96–4.98/5 at 97–99% confidence when the rubric explicitly defined credential exposure as level 5.\n\n• Input typing mattered materially: \"credential_exposure\":\"NOT_CONFIRMED\" produced substantially more risk/escalation than t","sourceHandle":"CreditProQuo","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550305098155163779","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T00:38:58.676000+00:00","origins":["community"]},{"id":"submission:discord-1550304417218044016","title":"Hi TypeSafe Team, ​Here is my initial feedback after integrating the jev-latest (SystemOne) API into an automated","category":"Travel","prompt":null,"description":"Hi TypeSafe Team,\n​Here is my initial feedback after integrating the jev-latest (SystemOne) API into an automated event-driven processing pipeline evaluating real-time public feeds (SEC filings, global supply chain events, and news wires).\n​What Impressed Me (Core Strengths)\n​Deterministic Type Constraints: The strict adherence to noul and choice schemas completely solves the output instability and hallucination issues common to standard generative LLMs. Parsing never broke across hundreds of automated cycles.\n​Semantic Precision on Nuance: The engine accurately distinguished material operational bottlenecks from empty political rhetoric, and hostile accounting disputes from routine corporate transitions. Double negations and resolution clauses (e.g., \"strike ended / averted\") were correctly classified.\n​Low Latency: API roundtrips consistently clocked between 600 ms and 900 ms per query, making the endpoint viable for near-real-time ingestion pipelines with strict SLA thresholds.\n​Developer Experience (DX) & Constructive Observations\n​Dictionary Truthiness on noul: In Python, the re","story":"Hi TypeSafe Team,\n​Here is my initial feedback after integrating the jev-latest (SystemOne) API into an automated event-driven processing pipeline evaluating real-time public feeds (SEC filings, global supply chain events, and news wires).\n​What Impressed Me (Core Strengths)\n​Deterministic Type Constraints: The strict adherence to noul and choice schemas completely solves the output instability and hallucination issues common to standard generative LLMs. Parsing never broke across hundreds of automated cycles.\n​Semantic Precision on Nuance: The engine accurately distinguished material operational bottlenecks from empty political rhetoric, and hostile accounting disputes from routine corporate transitions. Double negations and resolution clauses (e.g., \"strike ended / averted\") were correctly classified.\n​Low Latency: API roundtrips consistently clocked between 600 ms and 900 ms per query, making the endpoint viable for near-real-time ingestion pipelines with strict SLA thresholds.\n​Developer Experience (DX) & Constructive Observations\n​Dictionary Truthiness on noul: In Python, the re","sourceHandle":"Hugo","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550304417218044016","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T00:36:16.328000+00:00","origins":["community"]},{"id":"submission:discord-1550304353817206905","title":"Yup, and I have a lot more ideas with JEV, currently I’m working on a pretty niche use case FiveM cheaters using","category":"Home","prompt":null,"description":"Yup, and I have a lot more ideas with JEV, currently I’m working on a pretty niche use case FiveM cheaters using spoofers to bypass bans.\nI’m planning to use Jev as part of the decision engine to compare a player’s connecting identifiers against existing identity data and decide whether the identity looks legitimate, spoofed, or linked to a previously known user before allowing them access. \n\ncurrent decision engine can check 10 million user identifier from a DB (custom developped DB for the project, very specific but very fast on read operation), compare them, find similarities, decide if legit or not in between 20ms to 30ms, for a single player check req, \n\nbut when 200 player try to \"check-in\" at the same time, well it goes up to 800-1000ms per check\nlet's see if JEV can help speed up some of it","story":"Yup, and I have a lot more ideas with JEV, currently I’m working on a pretty niche use case FiveM cheaters using spoofers to bypass bans.\nI’m planning to use Jev as part of the decision engine to compare a player’s connecting identifiers against existing identity data and decide whether the identity looks legitimate, spoofed, or linked to a previously known user before allowing them access. \n\ncurrent decision engine can check 10 million user identifier from a DB (custom developped DB for the project, very specific but very fast on read operation), compare them, find similarities, decide if legit or not in between 20ms to 30ms, for a single player check req, \n\nbut when 200 player try to \"check-in\" at the same time, well it goes up to 800-1000ms per check\nlet's see if JEV can help speed up some of it","sourceHandle":"⧹⎝ΞＬＭΛＮＩ３３５⎠⧸","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550304353817206905","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T00:36:01.212000+00:00","origins":["community"]},{"id":"submission:discord-1550303089767219224","title":"I really don't know much about trading, trying my best to look myself on forum and learn from live traders, trying to","category":"Work","prompt":null,"description":"I really don't know much about trading, trying my best to look myself on forum and learn from live traders, trying to learn the termes/words they use and looking up what they mean etc.. just asked ASTRA to prompt some strategy with JEV in the middle doing all the important decision compared to historical trading data","story":"I really don't know much about trading, trying my best to look myself on forum and learn from live traders, trying to learn the termes/words they use and looking up what they mean etc.. just asked ASTRA to prompt some strategy with JEV in the middle doing all the important decision compared to historical trading data","sourceHandle":"⧹⎝ΞＬＭΛＮＩ３３５⎠⧸","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550303089767219224","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T00:30:59.839000+00:00","origins":["community"]},{"id":"submission:discord-1550299009875443763","title":"Serious Jev demos are everywhere, so I built the opposite: an unofficial playground to see/share how he judges the","category":"Evaluation","prompt":null,"description":"Serious Jev demos are everywhere, so I built the opposite: an unofficial playground to see/share how he judges the dumb stuff.\n\nFavorite sushi topping?\nhttps://askjev.space/q/mz6v8e66?r=d\n\nLinked projects:\n• Favorite sushi topping? — What did Jev say? See the answer → (askjev.space/q/mz6v8e66)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550299009875443763","story":"Serious Jev demos are everywhere, so I built the opposite: an unofficial playground to see/share how he judges the dumb stuff.\n\nFavorite sushi topping?\nhttps://askjev.space/q/mz6v8e66?r=d\n\nLinked projects:\n• Favorite sushi topping? — What did Jev say? See the answer → (askjev.space/q/mz6v8e66)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550299009875443763","sourceHandle":"ku-suke","sourceUrl":"https://askjev.space/q/mz6v8e66?r=d","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T00:14:47.117000+00:00","origins":["community"]},{"id":"submission:discord-1550296878023704617","title":"Using it in production to retrieve product photo urls out of a product page :please:","category":"Work","prompt":null,"description":"https://lovechild.in/products/batua-pocket-lipstick-rich-satin-finish-chai-khari\n\nUsing it in production to retrieve product photo urls out of a product page :please:\n\nLinked projects:\n• Batua Pocket Lipstick - Chai Khari (Nude Brown) Rich Satin Finish With — Looking for a hot plus-one for your next party? Look no further as 'Batua' is here – Your Perfect Plus-One; a shimmer coated lipstick with a rich, satin finish, that comes in a charismatic casing! Hook it on your bag, pa (lovechild.in/products/batua-pocket-lipstick-rich-satin-finish-chai-kha)\n• image.png — image/png · 789 KB (cdn.discordapp.com/attachments/1483217545040232493/1550296877675581450)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550296878023704617","story":"https://lovechild.in/products/batua-pocket-lipstick-rich-satin-finish-chai-khari\n\nUsing it in production to retrieve product photo urls out of a product page :please:\n\nLinked projects:\n• Batua Pocket Lipstick - Chai Khari (Nude Brown) Rich Satin Finish With — Looking for a hot plus-one for your next party? Look no further as 'Batua' is here – Your Perfect Plus-One; a shimmer coated lipstick with a rich, satin finish, that comes in a charismatic casing! Hook it on your bag, pa (lovechild.in/products/batua-pocket-lipstick-rich-satin-finish-chai-kha)\n• image.png — image/png · 789 KB (cdn.discordapp.com/attachments/1483217545040232493/1550296877675581450)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550296878023704617","sourceHandle":"Tanush","sourceUrl":"https://lovechild.in/products/batua-pocket-lipstick-rich-satin-finish-chai-khari","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T00:06:18.844000+00:00","origins":["community"]},{"id":"submission:discord-1550287031421239346","title":"Failure mode report: a Choice with no escape hatch answers at confidence 1.00 The jaggedness page asks for failure","category":"Money","prompt":null,"description":"Failure mode report: a Choice with no escape hatch answers at confidence 1.00\n\nThe jaggedness page asks for failure modes, so here's one — though it's a request-design failure rather than a model one, and I think that's what makes it worth flagging.\n\nA Choice whose options don't cover the input still has to pick something, and it does so at maximum confidence:\n\n```\noptions: [meeting request, pricing question, support issue, introduction]\nstate:   \"Please remove me from this mailing list. I never signed up.\"\n\nno escape hatch  ->  \"support issue\"   confidence 1.00\n+ {\"other\": ...} ->  \"other\"           confidence 0.93\n```\n\nReproduced in a second domain — a rental listing reading \"No pets of any kind\" came back as \"cats and dogs\" at 0.65. Exact inverse of the truth.\n\nWhat makes this one sharp: the usual mitigation is to threshold on confidence and route the uncertain cases to a human. That's structurally blind here, because the model is\n\nLinked projects:\n• suraj-phanindra/wellposed — Lint your jev requests before they come back confidently wrong. - suraj-phanindra/wellposed (github.com/suraj-phanindra/wellposed)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550287031421239346","story":"Failure mode report: a Choice with no escape hatch answers at confidence 1.00\n\nThe jaggedness page asks for failure modes, so here's one — though it's a request-design failure rather than a model one, and I think that's what makes it worth flagging.\n\nA Choice whose options don't cover the input still has to pick something, and it does so at maximum confidence:\n\n```\noptions: [meeting request, pricing question, support issue, introduction]\nstate:   \"Please remove me from this mailing list. I never signed up.\"\n\nno escape hatch  ->  \"support issue\"   confidence 1.00\n+ {\"other\": ...} ->  \"other\"           confidence 0.93\n```\n\nReproduced in a second domain — a rental listing reading \"No pets of any kind\" came back as \"cats and dogs\" at 0.65. Exact inverse of the truth.\n\nWhat makes this one sharp: the usual mitigation is to threshold on confidence and route the uncertain cases to a human. That's structurally blind here, because the model is\n\nLinked projects:\n• suraj-phanindra/wellposed — Lint your jev requests before they come back confidently wrong. - suraj-phanindra/wellposed (github.com/suraj-phanindra/wellposed)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550287031421239346","sourceHandle":"Suraj Phanindra","sourceUrl":"https://github.com/suraj-phanindra/wellposed","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T23:27:11.231000+00:00","origins":["community"]},{"id":"submission:discord-1550285781971505232","title":"decided to see how jev did when i fed it some quantitative analysis tasks, and i am very happy with what im getting","category":"Home","prompt":null,"description":"decided to see how jev did when i fed it some quantitative analysis tasks, and i am very happy with what im getting out of it! massive benefits from a general classifier so we dont have to constantly be reworking different models for different tasks, and tbh jev already beats my bespoke solutions\n\nLinked projects:\n• Screenshot_2026-09-17_at_5.20.27_PM.png — image/png · 766 KB (cdn.discordapp.com/attachments/1483217545040232493/1550285781632032859)","story":"decided to see how jev did when i fed it some quantitative analysis tasks, and i am very happy with what im getting out of it! massive benefits from a general classifier so we dont have to constantly be reworking different models for different tasks, and tbh jev already beats my bespoke solutions\n\nLinked projects:\n• Screenshot_2026-09-17_at_5.20.27_PM.png — image/png · 766 KB (cdn.discordapp.com/attachments/1483217545040232493/1550285781632032859)","sourceHandle":"Alpha🧪","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550285781971505232","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T23:22:13.339000+00:00","origins":["community"]},{"id":"submission:discord-1550283342656704552","title":"nothing too fancy but I pitted Jev vs Jev in a football game I’m working on.","category":"Fun","prompt":null,"description":"https://x.com/attractmodeio/status/2100723340021276739?s=46&t=Lue6-owbwjO2j3Lmk4ra-A nothing too fancy but I pitted Jev vs Jev in a football game I’m working on. I plan on using Jev for the “CPU” players, first test run.\n\nLinked projects:\n• Post by @AttractModeIO — Jev played DOOM. Then Subway Surfers. So I made it play against itself- Jev vs Jev. Two AI-controlled players, one football game. Both input feeds visible. 10 completed passes and a catch-and-run touchdown. 🧵 @typesafea (x.com/attractmodeio/status/2100723340021276739)\n• Post by @AttractModeIO — Jev played DOOM. Then Subway Surfers. So I made it play against itself- Jev vs Jev. Two AI-controlled players, one football game. Both input feeds visible. 10 completed passes and a catch-and-run touchdown. 🧵 @typesafea (twitter.com/attractmodeio/status/2100723340021276739)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550283342656704552","story":"https://x.com/attractmodeio/status/2100723340021276739?s=46&t=Lue6-owbwjO2j3Lmk4ra-A nothing too fancy but I pitted Jev vs Jev in a football game I’m working on. I plan on using Jev for the “CPU” players, first test run.\n\nLinked projects:\n• Post by @AttractModeIO — Jev played DOOM. Then Subway Surfers. So I made it play against itself- Jev vs Jev. Two AI-controlled players, one football game. Both input feeds visible. 10 completed passes and a catch-and-run touchdown. 🧵 @typesafea (x.com/attractmodeio/status/2100723340021276739)\n• Post by @AttractModeIO — Jev played DOOM. Then Subway Surfers. So I made it play against itself- Jev vs Jev. Two AI-controlled players, one football game. Both input feeds visible. 10 completed passes and a catch-and-run touchdown. 🧵 @typesafea (twitter.com/attractmodeio/status/2100723340021276739)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550283342656704552","sourceHandle":"madison_pov","sourceUrl":"https://x.com/attractmodeio/status/2100723340021276739?s=46&t=Lue6-owbwjO2j3Lmk4ra-A","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T23:12:31.761000+00:00","origins":["community"]},{"id":"submission:discord-1550280695468003429","title":"Built Jev answers yes, no, or it depends.","category":"Evaluation","prompt":null,"description":"Built https://www.askjev.ai/ Jev answers yes, no, or it depends. It judges each ask in about 100 milliseconds: yes, no, or it depends, plus mood, topic, and whether it fits the wall. Up to a million times.\n\nLinked projects:\n• Ask Jev anything. Up to a million times. — Three to fifteen words. Jev, TypeSafe (askjev.ai)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550280695468003429","story":"Built https://www.askjev.ai/ Jev answers yes, no, or it depends. It judges each ask in about 100 milliseconds: yes, no, or it depends, plus mood, topic, and whether it fits the wall. Up to a million times.\n\nLinked projects:\n• Ask Jev anything. Up to a million times. — Three to fifteen words. Jev, TypeSafe (askjev.ai)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550280695468003429","sourceHandle":"Wayne","sourceUrl":"https://www.askjev.ai/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T23:02:00.622000+00:00","origins":["community"]},{"id":"submission:discord-1550278538199044159","title":"Excited to enter Jev into my Civ 6 benchmark :blob_aww: Has anyone else tested out strategic reasoning yet?","category":"Evaluation","prompt":null,"description":"Excited to enter Jev into my Civ 6 benchmark :blob_aww: https://civ6-mcp.lwilko.com/\n\nHas anyone else tested out strategic reasoning yet?\n\nLinked projects:\n• civ6-mcp — An MCP environment for evaluating LLM agents in Civilization VI (civ6-mcp.lwilko.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550278538199044159","story":"Excited to enter Jev into my Civ 6 benchmark :blob_aww: https://civ6-mcp.lwilko.com/\n\nHas anyone else tested out strategic reasoning yet?\n\nLinked projects:\n• civ6-mcp — An MCP environment for evaluating LLM agents in Civilization VI (civ6-mcp.lwilko.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550278538199044159","sourceHandle":"Magykman (Liam)","sourceUrl":"https://civ6-mcp.lwilko.com/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T22:53:26.289000+00:00","origins":["community"]},{"id":"submission:discord-1550277506559643709","title":"I love it. Really like Orgo man. Opened my mind to virtual computers and their potential. You guys","category":"Work","prompt":null,"description":"I love it. Really like Orgo man. Opened my mind to virtual computers and their potential. You guys should check out Orgo. <@1438199427545432189> is the founder of it and it’s pretty cool. \n\nhttps://www.orgo.ai/\n\nLinked projects:\n• Orgo - Computers for AI agents — High-performance desktops for AI agents. Launch persistent computers in seconds and manage your fleet through one dashboard and API. (orgo.ai)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550277506559643709","story":"I love it. Really like Orgo man. Opened my mind to virtual computers and their potential. You guys should check out Orgo. <@1438199427545432189> is the founder of it and it’s pretty cool. \n\nhttps://www.orgo.ai/\n\nLinked projects:\n• Orgo - Computers for AI agents — High-performance desktops for AI agents. Launch persistent computers in seconds and manage your fleet through one dashboard and API. (orgo.ai)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550277506559643709","sourceHandle":"Mordecai","sourceUrl":"https://www.orgo.ai/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T22:49:20.327000+00:00","origins":["community"]},{"id":"submission:discord-1550271040549290004","title":"I built a semantic linter with Jev, it uses a tree algorithm to iterate over a codebase and apply custom code,","category":"Work","prompt":null,"description":"I built a semantic linter with Jev, it uses a tree algorithm to iterate over a codebase and apply custom code, security, and behavioral rules\n\nhttps://perchscan.com/\n\nLinked projects:\n• perch — Semantic code linting with Jev — Semantic code linting with Jev. perch parses every method with tree-sitter, then asks a model the questions a parser cannot answer. (perchscan.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550271040549290004","story":"I built a semantic linter with Jev, it uses a tree algorithm to iterate over a codebase and apply custom code, security, and behavioral rules\n\nhttps://perchscan.com/\n\nLinked projects:\n• perch — Semantic code linting with Jev — Semantic code linting with Jev. perch parses every method with tree-sitter, then asks a model the questions a parser cannot answer. (perchscan.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550271040549290004","sourceHandle":"joshyfb","sourceUrl":"https://perchscan.com/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T22:23:38.710000+00:00","origins":["community"]},{"id":"submission:discord-1550269287384481842","title":"Made Jev play Doom, Github repo attached Edit : remove embed","category":"Integrations","prompt":null,"description":"Made Jev play Doom, Github repo attached \n\nhttps://www.reddit.com/r/developersIndia/s/kuHoZ1jHFc\n\nhttps://github.com/AmoghCreator/doom-jev\n\nEdit : remove embed\n\nLinked projects:\n• Reddit (reddit.com/r/developersIndia/s/kuHoZ1jHFc)\n• AmoghCreator/doom-jev — Contribute to AmoghCreator/doom-jev development by creating an account on GitHub. (github.com/AmoghCreator/doom-jev)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550269287384481842","story":"Made Jev play Doom, Github repo attached \n\nhttps://www.reddit.com/r/developersIndia/s/kuHoZ1jHFc\n\nhttps://github.com/AmoghCreator/doom-jev\n\nEdit : remove embed\n\nLinked projects:\n• Reddit (reddit.com/r/developersIndia/s/kuHoZ1jHFc)\n• AmoghCreator/doom-jev — Contribute to AmoghCreator/doom-jev development by creating an account on GitHub. (github.com/AmoghCreator/doom-jev)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550269287384481842","sourceHandle":"amogh","sourceUrl":"https://github.com/AmoghCreator/doom-jev","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T22:16:40.723000+00:00","origins":["community"]},{"id":"submission:discord-1550265729012473886","title":"Hey! Don't know if anyone is playing with deepseek harness, but I immediately thought it could be neat","category":"Integrations","prompt":null,"description":"Hey! Don't know if anyone is playing with deepseek harness, but I immediately thought it could be neat to add a Jev driven plugin to it. Adds \"Auto review\" (idk why the whole decided review was the word, but it did lol) as a permission level, and lets Jev decide the \"what should I do next\" or multiple choice decisions when they are presented so you can go afk and let the whale cruise. If anyone wants to play with it, it's here:\n\nhttps://git.allen-software.com/allenh1/dsh-auto-mode\n\nLinked projects:\n• Hunter L. Allen / dsh-auto-mode · GitLab — DeepSeek Harness Auto mode: Full access guided by TypeSafe System One at every end prompt (git.allen-software.com/allenh1/dsh-auto-mode)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550265729012473886","story":"Hey! Don't know if anyone is playing with deepseek harness, but I immediately thought it could be neat to add a Jev driven plugin to it. Adds \"Auto review\" (idk why the whole decided review was the word, but it did lol) as a permission level, and lets Jev decide the \"what should I do next\" or multiple choice decisions when they are presented so you can go afk and let the whale cruise. If anyone wants to play with it, it's here:\n\nhttps://git.allen-software.com/allenh1/dsh-auto-mode\n\nLinked projects:\n• Hunter L. Allen / dsh-auto-mode · GitLab — DeepSeek Harness Auto mode: Full access guided by TypeSafe System One at every end prompt (git.allen-software.com/allenh1/dsh-auto-mode)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550265729012473886","sourceHandle":"McMikeFace","sourceUrl":"https://git.allen-software.com/allenh1/dsh-auto-mode","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T22:02:32.341000+00:00","origins":["community"]},{"id":"submission:discord-1550265710565924945","title":"Jev playing minecraft","category":"Work","prompt":null,"description":"Jev playing minecraft\n\nhttps://x.com/nickvasiles/status/2100670497818313175\n\nLinked projects:\n• Post by @nickvasiles — Jev is a new model from the co-inventor of ChatGPT that can use computer tools in realtime right now it's playing Minecraft on its own computer in the cloud on Orgo this is what it looks like with just one Jev, but imagi (x.com/nickvasiles/status/2100670497818313175)\n• Post by @nickvasiles — Jev is a new model from the co-inventor of ChatGPT that can use computer tools in realtime right now it's playing Minecraft on its own computer in the cloud on Orgo this is what it looks like with just one Jev, but imagi (twitter.com/nickvasiles/status/2100670497818313175)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550265710565924945","story":"Jev playing minecraft\n\nhttps://x.com/nickvasiles/status/2100670497818313175\n\nLinked projects:\n• Post by @nickvasiles — Jev is a new model from the co-inventor of ChatGPT that can use computer tools in realtime right now it's playing Minecraft on its own computer in the cloud on Orgo this is what it looks like with just one Jev, but imagi (x.com/nickvasiles/status/2100670497818313175)\n• Post by @nickvasiles — Jev is a new model from the co-inventor of ChatGPT that can use computer tools in realtime right now it's playing Minecraft on its own computer in the cloud on Orgo this is what it looks like with just one Jev, but imagi (twitter.com/nickvasiles/status/2100670497818313175)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550265710565924945","sourceHandle":"Nick Vasilescu","sourceUrl":"https://x.com/nickvasiles/status/2100670497818313175","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T22:02:27.943000+00:00","origins":["community"]},{"id":"submission:discord-1550262837115355197","title":"I can't send the full JSON here because it gets blocked in this chat.","category":"Work","prompt":null,"description":"I can't send the full JSON here because it gets blocked in this chat. But browser nav looks like this for the model. So browser tabs are a first-class choice, second class are DOM selectors, and so on.\n\nLinked projects:\n• Screenshot_from_2026-09-17_23-50-21.png — image/png · 70 KB (cdn.discordapp.com/attachments/1483217545040232493/1550262836754649310)","story":"I can't send the full JSON here because it gets blocked in this chat. But browser nav looks like this for the model. So browser tabs are a first-class choice, second class are DOM selectors, and so on.\n\nLinked projects:\n• Screenshot_from_2026-09-17_23-50-21.png — image/png · 70 KB (cdn.discordapp.com/attachments/1483217545040232493/1550262836754649310)","sourceHandle":"Alessandro Frau","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550262837115355197","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T21:51:02.859000+00:00","origins":["community"]},{"id":"submission:discord-1550262682156793977","title":"I have built a real-time clippy.","category":"Work","prompt":null,"description":"I have built a real-time clippy. 😅\nhttps://x.com/sotak/status/2100701152824185319\n\nLinked projects:\n• Post by @sotak — I built real-time Clippy with Jev. It quietly watches how you use the product and only wakes up when it thinks you’re struggling. Hesitating? Confused? Stuck? Clippy knows. Even its reactions are controlled by Jev. 👀 (x.com/sotak/status/2100701152824185319)\n• jev-bot-inline-manual.mp4 — video/mp4 · 10 MB (cdn.discordapp.com/attachments/1483217545040232493/1550262681326460948)\n• Post by @sotak — I built real-time Clippy with Jev. It quietly watches how you use the product and only wakes up when it thinks you’re struggling. Hesitating? Confused? Stuck? Clippy knows. Even its reactions are controlled by Jev. 👀 (twitter.com/sotak/status/2100701152824185319)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550262682156793977","story":"I have built a real-time clippy. 😅\nhttps://x.com/sotak/status/2100701152824185319\n\nLinked projects:\n• Post by @sotak — I built real-time Clippy with Jev. It quietly watches how you use the product and only wakes up when it thinks you’re struggling. Hesitating? Confused? Stuck? Clippy knows. Even its reactions are controlled by Jev. 👀 (x.com/sotak/status/2100701152824185319)\n• jev-bot-inline-manual.mp4 — video/mp4 · 10 MB (cdn.discordapp.com/attachments/1483217545040232493/1550262681326460948)\n• Post by @sotak — I built real-time Clippy with Jev. It quietly watches how you use the product and only wakes up when it thinks you’re struggling. Hesitating? Confused? Stuck? Clippy knows. Even its reactions are controlled by Jev. 👀 (twitter.com/sotak/status/2100701152824185319)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550262682156793977","sourceHandle":"Marek","sourceUrl":"https://x.com/sotak/status/2100701152824185319","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T21:50:25.914000+00:00","origins":["community"]},{"id":"submission:discord-1550262461100458055","title":"In our harness we use Playwright for the browser, and the DOM is natively translated in JSON, so Jev is able to choose.","category":"Work","prompt":null,"description":"In our harness we use Playwright for the browser, and the DOM is natively translated in JSON, so Jev is able to choose. But CDP works best (see Browser Use's jev-ultrafast repo for ref).\n\nLinked projects:\n• export-1789663993497.mp4 — video/mp4 · 2 MB (cdn.discordapp.com/attachments/1483217545040232493/1550262460660064346)","story":"In our harness we use Playwright for the browser, and the DOM is natively translated in JSON, so Jev is able to choose. But CDP works best (see Browser Use's jev-ultrafast repo for ref).\n\nLinked projects:\n• export-1789663993497.mp4 — video/mp4 · 2 MB (cdn.discordapp.com/attachments/1483217545040232493/1550262460660064346)","sourceHandle":"Alessandro Frau","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550262461100458055","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T21:49:33.210000+00:00","origins":["community"]},{"id":"submission:discord-1550261869866909936","title":"30 cents a month to moderator a discord with 1000+ messages a day.","category":"Work","prompt":null,"description":"30 cents a month to moderator a discord with 1000+ messages a day.\nhttps://x.com/brainstormity/status/2100702826196307977\n\nLinked projects:\n• Post by @brainstormity — In my tests, your JEV-powered AI moderator for Discord will cost: - $0.30/month if your server gets 1,000 messages per day. Hiring multiple chat moderators is a thing of the past. Hire a JEV-powered AI moderator for just (x.com/brainstormity/status/2100702826196307977)\n• Post by @brainstormity — In my tests, your JEV-powered AI moderator for Discord will cost: - $0.30/month if your server gets 1,000 messages per day. Hiring multiple chat moderators is a thing of the past. Hire a JEV-powered AI moderator for just (twitter.com/brainstormity/status/2100702826196307977)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550261869866909936","story":"30 cents a month to moderator a discord with 1000+ messages a day.\nhttps://x.com/brainstormity/status/2100702826196307977\n\nLinked projects:\n• Post by @brainstormity — In my tests, your JEV-powered AI moderator for Discord will cost: - $0.30/month if your server gets 1,000 messages per day. Hiring multiple chat moderators is a thing of the past. Hire a JEV-powered AI moderator for just (x.com/brainstormity/status/2100702826196307977)\n• Post by @brainstormity — In my tests, your JEV-powered AI moderator for Discord will cost: - $0.30/month if your server gets 1,000 messages per day. Hiring multiple chat moderators is a thing of the past. Hire a JEV-powered AI moderator for just (twitter.com/brainstormity/status/2100702826196307977)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550261869866909936","sourceHandle":"brainstormity","sourceUrl":"https://x.com/brainstormity/status/2100702826196307977","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T21:47:12.249000+00:00","origins":["community"]},{"id":"submission:discord-1550261144521023500","title":"I didn't expect Jev to tell me that one of the title options is clickbait 😄","category":"Work","prompt":null,"description":"I didn't expect Jev to tell me that one of the title options is clickbait 😄\n\nLinked projects:\n• jevjev.mp4 — video/mp4 · 7 MB (cdn.discordapp.com/attachments/1483217545040232493/1550261144084807730)","story":"I didn't expect Jev to tell me that one of the title options is clickbait 😄\n\nLinked projects:\n• jevjev.mp4 — video/mp4 · 7 MB (cdn.discordapp.com/attachments/1483217545040232493/1550261144084807730)","sourceHandle":"Alessandro Frau","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550261144521023500","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T21:44:19.313000+00:00","origins":["community"]},{"id":"submission:discord-1550260029045604412","title":"So Jev is 100% confident I should full port my entire generational wealth into short dated NVIDIA calls....","category":"Work","prompt":null,"description":"So Jev is 100% confident I should full port my entire generational wealth into short dated NVIDIA calls....\n\nLinked projects:\n• image.png — image/png · 328 KB (cdn.discordapp.com/attachments/1483217545040232493/1550260027816812604)","story":"So Jev is 100% confident I should full port my entire generational wealth into short dated NVIDIA calls....\n\nLinked projects:\n• image.png — image/png · 328 KB (cdn.discordapp.com/attachments/1483217545040232493/1550260027816812604)","sourceHandle":"DiskID","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550260029045604412","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T21:39:53.363000+00:00","origins":["community"]},{"id":"submission:discord-1550259928831238144","title":"I build a SQL extension that turns plain english into a WHERE clause with jev Example: *WHERE jev(people, 'could work","category":"Home","prompt":null,"description":"I build a SQL extension that turns plain english into a WHERE clause with jev \n\nExample: *WHERE jev(people, 'could work from home')*\n\nEvery row gets judged individually, no index and no embeddings needed.\n\nTry it out (don't burn my wallet pls)\n\nhttps://pgjev.zachi.dev/\n\nLinked projects:\n• pg-jev: query Postgres in plain English — A PostgreSQL extension that turns natural-language conditions into WHERE clauses. No index, no embeddings. Try it live. (pgjev.zachi.dev)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550259928831238144","story":"I build a SQL extension that turns plain english into a WHERE clause with jev \n\nExample: *WHERE jev(people, 'could work from home')*\n\nEvery row gets judged individually, no index and no embeddings needed.\n\nTry it out (don't burn my wallet pls)\n\nhttps://pgjev.zachi.dev/\n\nLinked projects:\n• pg-jev: query Postgres in plain English — A PostgreSQL extension that turns natural-language conditions into WHERE clauses. No index, no embeddings. Try it live. (pgjev.zachi.dev)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550259928831238144","sourceHandle":"Zachi","sourceUrl":"https://pgjev.zachi.dev/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T21:39:29.470000+00:00","origins":["community"]},{"id":"submission:discord-1550252994845741096","title":"Hi guys, I loved typesafe ai and thought this would be very efficient for dumb components in react.","category":"Work","prompt":null,"description":"Hi guys, I loved typesafe ai and thought this would be very efficient for dumb components in react. I came up with typesafecn, but I'm wondering if I might be hit by bad actors and my bill will go up for something I want to do for free.\n\nLinked projects:\n• Screen_Recording_2026-09-17_at_4.06.31_PM.mp4 — video/mp4 · 2 MB (cdn.discordapp.com/attachments/1483217545040232493/1550252994300477471)","story":"Hi guys, I loved typesafe ai and thought this would be very efficient for dumb components in react. I came up with typesafecn, but I'm wondering if I might be hit by bad actors and my bill will go up for something I want to do for free.\n\nLinked projects:\n• Screen_Recording_2026-09-17_at_4.06.31_PM.mp4 — video/mp4 · 2 MB (cdn.discordapp.com/attachments/1483217545040232493/1550252994300477471)","sourceHandle":"Zama Khan Mohammed","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550252994845741096","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T21:11:56.279000+00:00","origins":["community"]},{"id":"submission:discord-1550248964736028755","title":"I asked Astra to one shot an A/B comparison of Jev against our password manager field classifier.","category":"Evaluation","prompt":null,"description":"I asked Astra to one shot an A/B comparison of Jev against our password manager field classifier. Jev gets sanitized HTML and ~60 potential classification options.\n\n564 pages. 4,831 scored controls. Every fixture included.\n\nAverage per-page score:\n  → Our heuristics: 74.3%\n  → Jev: 96.6%\n\nMedian API Response time: 200ms. Test was ~10MM tokens at ~$0.40. \n\nFive years of hand crafting rules vs chucking shit into Jev... Damn. \n\nhttps://x.com/abhijay_cloaked/status/2100689866279252270?s=20\n\nLinked projects:\n• Post by @abhijay_cloaked — @typesafeai Jev is going to make Chrome Extensions a lot smarter One of the hardest parts of building a password manager: every site builds its forms differently. Weird labels, custom controls, shadow DOM, card fields tu (x.com/abhijay_cloaked/status/2100689866279252270)\n• Post by @abhijay_cloaked — @typesafeai Jev is going to make Chrome Extensions a lot smarter One of the hardest parts of building a password manager: every site builds its forms differently. Weird labels, custom controls, shadow DOM, card fields tu (twitter.com/abhijay_cloaked/status/2100689866279252270)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550248964736028755","story":"I asked Astra to one shot an A/B comparison of Jev against our password manager field classifier. Jev gets sanitized HTML and ~60 potential classification options.\n\n564 pages. 4,831 scored controls. Every fixture included.\n\nAverage per-page score:\n  → Our heuristics: 74.3%\n  → Jev: 96.6%\n\nMedian API Response time: 200ms. Test was ~10MM tokens at ~$0.40. \n\nFive years of hand crafting rules vs chucking shit into Jev... Damn. \n\nhttps://x.com/abhijay_cloaked/status/2100689866279252270?s=20\n\nLinked projects:\n• Post by @abhijay_cloaked — @typesafeai Jev is going to make Chrome Extensions a lot smarter One of the hardest parts of building a password manager: every site builds its forms differently. Weird labels, custom controls, shadow DOM, card fields tu (x.com/abhijay_cloaked/status/2100689866279252270)\n• Post by @abhijay_cloaked — @typesafeai Jev is going to make Chrome Extensions a lot smarter One of the hardest parts of building a password manager: every site builds its forms differently. Weird labels, custom controls, shadow DOM, card fields tu (twitter.com/abhijay_cloaked/status/2100689866279252270)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550248964736028755","sourceHandle":"Yajihba","sourceUrl":"https://x.com/abhijay_cloaked/status/2100689866279252270?s=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T20:55:55.426000+00:00","origins":["community"]},{"id":"submission:discord-1550248009361657926","title":"Hi, today I build a document classification system with jev.","category":"Admin","prompt":null,"description":"Hi, today I build a document classification system with jev. I optimize performance and cost. If you want to have an overview : https://x.com/Charlyhno/status/2100670579321754080 I also put this project on l'y github\n\nLinked projects:\n• Post by @Charlyhno — JEV is insane. 🤯 A few optimizations I made: • 24k chars → 4.5k max with a structured local profile • Category + language + subject in a single request • 16 parallel documents + SHA-256 cache to avoid unnecessary calls  (x.com/Charlyhno/status/2100670579321754080)\n• Post by @Charlyhno — JEV is insane. 🤯 A few optimizations I made: • 24k chars → 4.5k max with a structured local profile • Category + language + subject in a single request • 16 parallel documents + SHA-256 cache to avoid unnecessary calls  (twitter.com/Charlyhno/status/2100670579321754080)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550248009361657926","story":"Hi, today I build a document classification system with jev. I optimize performance and cost. If you want to have an overview : https://x.com/Charlyhno/status/2100670579321754080 I also put this project on l'y github\n\nLinked projects:\n• Post by @Charlyhno — JEV is insane. 🤯 A few optimizations I made: • 24k chars → 4.5k max with a structured local profile • Category + language + subject in a single request • 16 parallel documents + SHA-256 cache to avoid unnecessary calls  (x.com/Charlyhno/status/2100670579321754080)\n• Post by @Charlyhno — JEV is insane. 🤯 A few optimizations I made: • 24k chars → 4.5k max with a structured local profile • Category + language + subject in a single request • 16 parallel documents + SHA-256 cache to avoid unnecessary calls  (twitter.com/Charlyhno/status/2100670579321754080)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550248009361657926","sourceHandle":"Anon","sourceUrl":"https://x.com/Charlyhno/status/2100670579321754080","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T20:52:07.647000+00:00","origins":["community"]},{"id":"submission:discord-1550246755482730568","title":"I've built a drone autopilot using Jev.","category":"Travel","prompt":null,"description":"I've built a drone autopilot using Jev.\n\n- It flies from point A to point B, avoiding obstacles along the way.\n- One trip costs $0.01.\n- Uses  Vercel AI SDK.\n- Code is on GitHub.\n\nhttps://x.com/arielweinberger/status/2100687687057285215?s=20\n\nLinked projects:\n• Post by @arielweinberger — I've built a drone autopilot using Jev @typesafeai. It flies from point A to point B, avoiding obstacles along the way. One trip costs $0.01. Uses @vercel @aisdk. Code is on GitHub: https://github.com/arielweinberger/jev (x.com/arielweinberger/status/2100687687057285215)\n• Post by @arielweinberger — I've built a drone autopilot using Jev @typesafeai. It flies from point A to point B, avoiding obstacles along the way. One trip costs $0.01. Uses @vercel @aisdk. Code is on GitHub: https://github.com/arielweinberger/jev (twitter.com/arielweinberger/status/2100687687057285215)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550246755482730568","story":"I've built a drone autopilot using Jev.\n\n- It flies from point A to point B, avoiding obstacles along the way.\n- One trip costs $0.01.\n- Uses  Vercel AI SDK.\n- Code is on GitHub.\n\nhttps://x.com/arielweinberger/status/2100687687057285215?s=20\n\nLinked projects:\n• Post by @arielweinberger — I've built a drone autopilot using Jev @typesafeai. It flies from point A to point B, avoiding obstacles along the way. One trip costs $0.01. Uses @vercel @aisdk. Code is on GitHub: https://github.com/arielweinberger/jev (x.com/arielweinberger/status/2100687687057285215)\n• Post by @arielweinberger — I've built a drone autopilot using Jev @typesafeai. It flies from point A to point B, avoiding obstacles along the way. One trip costs $0.01. Uses @vercel @aisdk. Code is on GitHub: https://github.com/arielweinberger/jev (twitter.com/arielweinberger/status/2100687687057285215)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550246755482730568","sourceHandle":"Ariel Weinberger","sourceUrl":"https://x.com/arielweinberger/status/2100687687057285215?s=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T20:47:08.699000+00:00","origins":["community"]},{"id":"submission:discord-1550246459444826224","title":"hi folks! just cooked up a fun use case where the model crushed it 👀","category":"Food","prompt":null,"description":"hi folks! just cooked up a fun use case where the model crushed it 👀 https://x.com/atomic_chat_hq/status/2100644221279424925?s=46\n\nLinked projects:\n• Post by @atomic_chat_hq — Jev v1.13 dodges rockets with probability calculation 🚀 @typesafeai's new non-LLM model returns decisions instead of text so we had it calculate a safe tile every 330 ms while rockets fell and it survived 25 of 26 for u (x.com/atomic_chat_hq/status/2100644221279424925)\n• Post by @atomic_chat_hq — Jev v1.13 dodges rockets with probability calculation 🚀 @typesafeai's new non-LLM model returns decisions instead of text so we had it calculate a safe tile every 330 ms while rockets fell and it survived 25 of 26 for u (twitter.com/atomic_chat_hq/status/2100644221279424925)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550246459444826224","story":"hi folks! just cooked up a fun use case where the model crushed it 👀 https://x.com/atomic_chat_hq/status/2100644221279424925?s=46\n\nLinked projects:\n• Post by @atomic_chat_hq — Jev v1.13 dodges rockets with probability calculation 🚀 @typesafeai's new non-LLM model returns decisions instead of text so we had it calculate a safe tile every 330 ms while rockets fell and it survived 25 of 26 for u (x.com/atomic_chat_hq/status/2100644221279424925)\n• Post by @atomic_chat_hq — Jev v1.13 dodges rockets with probability calculation 🚀 @typesafeai's new non-LLM model returns decisions instead of text so we had it calculate a safe tile every 330 ms while rockets fell and it survived 25 of 26 for u (twitter.com/atomic_chat_hq/status/2100644221279424925)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550246459444826224","sourceHandle":"danny","sourceUrl":"https://x.com/atomic_chat_hq/status/2100644221279424925?s=46","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T20:45:58.118000+00:00","origins":["community"]},{"id":"submission:discord-1550243132782678127","title":"I've tried to make a game with Jev.","category":"Fun","prompt":null,"description":"I've tried to make a game with Jev.\n\nIts basically a corrupt politician simulator but there are consequences.  You have to rise the ranks but stay undetected\n\nhttps://the-ledger.simonbalint03.workers.dev/\n\nLinked projects:\n• The Ledger (the-ledger.simonbalint03.workers.dev)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550243132782678127","story":"I've tried to make a game with Jev.\n\nIts basically a corrupt politician simulator but there are consequences.  You have to rise the ranks but stay undetected\n\nhttps://the-ledger.simonbalint03.workers.dev/\n\nLinked projects:\n• The Ledger (the-ledger.simonbalint03.workers.dev)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550243132782678127","sourceHandle":"SIMON","sourceUrl":"https://the-ledger.simonbalint03.workers.dev/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T20:32:44.980000+00:00","origins":["community"]},{"id":"submission:discord-1550241235208507564","title":"I wrote an article about how I want to use Jev in mz marketing workflows.","category":"Social","prompt":null,"description":"I wrote an article about how I want to use Jev in mz marketing workflows. I would like someone to check it and maybe let's build something together. Also I'm still waiting on a waitlist so maybe someone from TypeSafe provides me with access https://www.linkedin.com/pulse/jev-wont-replace-llms-its-fast-cheap-typed-much-less-magical-fisera-5bx4f/\n\nLinked projects:\n• Jev Won’t Replace LLMs. It’s Fast, Cheap, Typed, and Much Less Magical Than the Launch Suggests — Earlier this week another AI launch got a lot of attention. It’s called Jev, a product built by TypeSafe AI, founded by former OpenAI researcher Diogo Almeida. (linkedin.com/pulse/jev-wont-replace-llms-its-fast-cheap-typed-much-les)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550241235208507564","story":"I wrote an article about how I want to use Jev in mz marketing workflows. I would like someone to check it and maybe let's build something together. Also I'm still waiting on a waitlist so maybe someone from TypeSafe provides me with access https://www.linkedin.com/pulse/jev-wont-replace-llms-its-fast-cheap-typed-much-less-magical-fisera-5bx4f/\n\nLinked projects:\n• Jev Won’t Replace LLMs. It’s Fast, Cheap, Typed, and Much Less Magical Than the Launch Suggests — Earlier this week another AI launch got a lot of attention. It’s called Jev, a product built by TypeSafe AI, founded by former OpenAI researcher Diogo Almeida. (linkedin.com/pulse/jev-wont-replace-llms-its-fast-cheap-typed-much-les)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550241235208507564","sourceHandle":"marekario","sourceUrl":"https://www.linkedin.com/pulse/jev-wont-replace-llms-its-fast-cheap-typed-much-less-magical-fisera-5bx4f/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T20:25:12.563000+00:00","origins":["community"]},{"id":"submission:discord-1550241116899508316","title":"Built a grocery shopping agent for myself using jev, it's super fast:","category":"Food","prompt":null,"description":"Built a grocery shopping agent for myself using jev, it's super fast:\nhttps://x.com/heykathan/status/2100680287042814326?s=20\n\nLinked projects:\n• Post by @heykathan — Jev is fast. ⚡ Got Jev to do my grocery shopping in ~1 minute 🤯 Videomemory + Jev (@typesafeai) figured out everything I needed to make mushroom toast and got my cart ready. > visual + transcription understanding > figu (x.com/heykathan/status/2100680287042814326)\n• Post by @heykathan — Jev is fast. ⚡ Got Jev to do my grocery shopping in ~1 minute 🤯 Videomemory + Jev (@typesafeai) figured out everything I needed to make mushroom toast and got my cart ready. > visual + transcription understanding > figu (twitter.com/heykathan/status/2100680287042814326)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550241116899508316","story":"Built a grocery shopping agent for myself using jev, it's super fast:\nhttps://x.com/heykathan/status/2100680287042814326?s=20\n\nLinked projects:\n• Post by @heykathan — Jev is fast. ⚡ Got Jev to do my grocery shopping in ~1 minute 🤯 Videomemory + Jev (@typesafeai) figured out everything I needed to make mushroom toast and got my cart ready. > visual + transcription understanding > figu (x.com/heykathan/status/2100680287042814326)\n• Post by @heykathan — Jev is fast. ⚡ Got Jev to do my grocery shopping in ~1 minute 🤯 Videomemory + Jev (@typesafeai) figured out everything I needed to make mushroom toast and got my cart ready. > visual + transcription understanding > figu (twitter.com/heykathan/status/2100680287042814326)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550241116899508316","sourceHandle":"Kathan Desai","sourceUrl":"https://x.com/heykathan/status/2100680287042814326?s=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T20:24:44.356000+00:00","origins":["community"]},{"id":"submission:discord-1550239787221385397","title":"I asked Jev if it thinks the “21 cars” guy is suspicious, or just unusually concerned about the logistics?","category":"Work","prompt":null,"description":"https://x.com/sybuilds/status/2100679413243474010?s=46\nI asked Jev if it thinks the “21 cars” guy is suspicious, or just unusually concerned about the logistics?\n\nLinked projects:\n• Post by @Sybuilds — Does Jev think the “21 cars” guy is suspicious, or just unusually concerned about the logistics? (x.com/sybuilds/status/2100679413243474010)\n• Post by @Sybuilds — Does Jev think the “21 cars” guy is suspicious, or just unusually concerned about the logistics? (twitter.com/sybuilds/status/2100679413243474010)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550239787221385397","story":"https://x.com/sybuilds/status/2100679413243474010?s=46\nI asked Jev if it thinks the “21 cars” guy is suspicious, or just unusually concerned about the logistics?\n\nLinked projects:\n• Post by @Sybuilds — Does Jev think the “21 cars” guy is suspicious, or just unusually concerned about the logistics? (x.com/sybuilds/status/2100679413243474010)\n• Post by @Sybuilds — Does Jev think the “21 cars” guy is suspicious, or just unusually concerned about the logistics? (twitter.com/sybuilds/status/2100679413243474010)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550239787221385397","sourceHandle":"Thinker","sourceUrl":"https://x.com/sybuilds/status/2100679413243474010?s=46","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T20:19:27.336000+00:00","origins":["community"]},{"id":"submission:discord-1550239108427685909","title":"ive been trying to figure out what I can and cannot turn into a classification problem.","category":"Home","prompt":null,"description":"ive been trying to figure out what I can and cannot turn into a classification problem. comparing a couple different wordle stratergies is actually a good basic case study. \n\nI think Jev lowkey is pretty greedy (when putting it in 'multi-turn' type setups - like letter by letter guessing words). Its kind of obivous but pretty interesting\n\nhttps://x.com/sid19arya0/status/2100679099723223341?s=20\n\nLinked projects:\n• Post by @sid19arya0 — Jev @typesafeai playing wordle - with different stratergies is a pretty good case study in what Jev can and cannot do. Guess letter-by-letter -> very greedy All 5 letters at once -> spams SEEEE (repeatedly) Guess the who (x.com/sid19arya0/status/2100679099723223341)\n• Post by @sid19arya0 — Jev @typesafeai playing wordle - with different stratergies is a pretty good case study in what Jev can and cannot do. Guess letter-by-letter -> very greedy All 5 letters at once -> spams SEEEE (repeatedly) Guess the who (twitter.com/sid19arya0/status/2100679099723223341)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550239108427685909","story":"ive been trying to figure out what I can and cannot turn into a classification problem. comparing a couple different wordle stratergies is actually a good basic case study. \n\nI think Jev lowkey is pretty greedy (when putting it in 'multi-turn' type setups - like letter by letter guessing words). Its kind of obivous but pretty interesting\n\nhttps://x.com/sid19arya0/status/2100679099723223341?s=20\n\nLinked projects:\n• Post by @sid19arya0 — Jev @typesafeai playing wordle - with different stratergies is a pretty good case study in what Jev can and cannot do. Guess letter-by-letter -> very greedy All 5 letters at once -> spams SEEEE (repeatedly) Guess the who (x.com/sid19arya0/status/2100679099723223341)\n• Post by @sid19arya0 — Jev @typesafeai playing wordle - with different stratergies is a pretty good case study in what Jev can and cannot do. Guess letter-by-letter -> very greedy All 5 letters at once -> spams SEEEE (repeatedly) Guess the who (twitter.com/sid19arya0/status/2100679099723223341)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550239108427685909","sourceHandle":"Sid","sourceUrl":"https://x.com/sid19arya0/status/2100679099723223341?s=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T20:16:45.499000+00:00","origins":["community"]},{"id":"submission:discord-1550238864206077962","title":"**I made a fuzzy sql function using jev.","category":"Home","prompt":null,"description":"**I made a fuzzy sql function using jev. **\n\nAsk your database: \n\n**WHERE jev(people, 'could work from home')**\nor \n**WHERE jev(people, 'name sounds european')**\n\nTada, jev will search and judge the rows using your prompt.\n\nhttps://x.com/iam_zachi/status/2100679300756435135\n\nLinked projects:\n• Post by @iam_zachi — I think I just cooked something 🔥 jev(): a PostgreSQL extension that searches your whole database in natural language. No index, no embeddings, just one function. WHERE jev(people, 'could work from home') or WHERE jev(p (x.com/iam_zachi/status/2100679300756435135)\n• Post by @iam_zachi — I think I just cooked something 🔥 jev(): a PostgreSQL extension that searches your whole database in natural language. No index, no embeddings, just one function. WHERE jev(people, 'could work from home') or WHERE jev(p (twitter.com/iam_zachi/status/2100679300756435135)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550238864206077962","story":"**I made a fuzzy sql function using jev. **\n\nAsk your database: \n\n**WHERE jev(people, 'could work from home')**\nor \n**WHERE jev(people, 'name sounds european')**\n\nTada, jev will search and judge the rows using your prompt.\n\nhttps://x.com/iam_zachi/status/2100679300756435135\n\nLinked projects:\n• Post by @iam_zachi — I think I just cooked something 🔥 jev(): a PostgreSQL extension that searches your whole database in natural language. No index, no embeddings, just one function. WHERE jev(people, 'could work from home') or WHERE jev(p (x.com/iam_zachi/status/2100679300756435135)\n• Post by @iam_zachi — I think I just cooked something 🔥 jev(): a PostgreSQL extension that searches your whole database in natural language. No index, no embeddings, just one function. WHERE jev(people, 'could work from home') or WHERE jev(p (twitter.com/iam_zachi/status/2100679300756435135)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550238864206077962","sourceHandle":"Zachi","sourceUrl":"https://x.com/iam_zachi/status/2100679300756435135","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T20:15:47.272000+00:00","origins":["community"]},{"id":"submission:discord-1550237904339734699","title":"I made an MCP ❤️ maybe it helps your LLMs","category":"Integrations","prompt":null,"description":"https://github.com/blakestone-x/jev-mcp\n\nI made an MCP ❤️ maybe it helps your LLMs\n\nLinked projects:\n• blakestone-x/jev-mcp — MCP server for TypeSafe Jev: typed classify, score, check, match and screen for any agent, with confidence on every answer - blakestone-x/jev-mcp (github.com/blakestone-x/jev-mcp)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550237904339734699","story":"https://github.com/blakestone-x/jev-mcp\n\nI made an MCP ❤️ maybe it helps your LLMs\n\nLinked projects:\n• blakestone-x/jev-mcp — MCP server for TypeSafe Jev: typed classify, score, check, match and screen for any agent, with confidence on every answer - blakestone-x/jev-mcp (github.com/blakestone-x/jev-mcp)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550237904339734699","sourceHandle":"blake","sourceUrl":"https://github.com/blakestone-x/jev-mcp","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T20:11:58.422000+00:00","origins":["community"]},{"id":"submission:discord-1550237497299042514","title":"i had astra make a go sdk","category":"Integrations","prompt":null,"description":"i had astra make a go sdk https://github.com/withzombies/jev-go\n\nLinked projects:\n• withzombies/jev-go — Contribute to withzombies/jev-go development by creating an account on GitHub. (github.com/withzombies/jev-go)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550237497299042514","story":"i had astra make a go sdk https://github.com/withzombies/jev-go\n\nLinked projects:\n• withzombies/jev-go — Contribute to withzombies/jev-go development by creating an account on GitHub. (github.com/withzombies/jev-go)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550237497299042514","sourceHandle":"withzombies","sourceUrl":"https://github.com/withzombies/jev-go","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T20:10:21.376000+00:00","origins":["community"]},{"id":"submission:discord-1550235932479721743","title":"Probably some slop atm but analyzing and taking actions on BI tools has been a slog.","category":"Integrations","prompt":null,"description":"Probably some slop atm but analyzing and taking actions on BI tools has been a slog. Made a thin tool to add context cards over Apache Superset. No way to validate at scale cause I don’t got Jev at work 🤷‍♂️ \n https://github.com/waddle-zoo/signal-weave\n\nLinked projects:\n• waddle-zoo/signal-weave — Typed decisions for operational signals. Powered by TypeSafeAI Jev - waddle-zoo/signal-weave (github.com/waddle-zoo/signal-weave)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550235932479721743","story":"Probably some slop atm but analyzing and taking actions on BI tools has been a slog. Made a thin tool to add context cards over Apache Superset. No way to validate at scale cause I don’t got Jev at work 🤷‍♂️ \n https://github.com/waddle-zoo/signal-weave\n\nLinked projects:\n• waddle-zoo/signal-weave — Typed decisions for operational signals. Powered by TypeSafeAI Jev - waddle-zoo/signal-weave (github.com/waddle-zoo/signal-weave)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550235932479721743","sourceHandle":"Brando","sourceUrl":"https://github.com/waddle-zoo/signal-weave","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T20:04:08.294000+00:00","origins":["community"]},{"id":"submission:discord-1550235403372462173","title":"Shared by Pablo Egido: jev-pr-judge.vercel.app","category":"Evaluation","prompt":null,"description":"https://jev-pr-judge.vercel.app/\nhttps://jev-nu.vercel.app\n😬\n\nLinked projects:\n• PR Judge — Typed verdicts on pull requests with TypeSafe System One. (jev-pr-judge.vercel.app)\n• Startup Idea Validator — Type a startup idea and watch eight calibrated judgments from Jev update while you write. (jev-nu.vercel.app)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550235403372462173","story":"https://jev-pr-judge.vercel.app/\nhttps://jev-nu.vercel.app\n😬\n\nLinked projects:\n• PR Judge — Typed verdicts on pull requests with TypeSafe System One. (jev-pr-judge.vercel.app)\n• Startup Idea Validator — Type a startup idea and watch eight calibrated judgments from Jev update while you write. (jev-nu.vercel.app)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550235403372462173","sourceHandle":"Pablo Egido","sourceUrl":"https://jev-pr-judge.vercel.app/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T20:02:02.145000+00:00","origins":["community"]},{"id":"submission:discord-1550234585697099946","title":"trying to break it, won't work.","category":"Work","prompt":null,"description":"<@705561973571452938> trying to break it, won't work. Needs more bird.\n\nLinked projects:\n• image.png — image/png · 16 KB (cdn.discordapp.com/attachments/1483217545040232493/1550234585223274537)","story":"<@705561973571452938> trying to break it, won't work. Needs more bird.\n\nLinked projects:\n• image.png — image/png · 16 KB (cdn.discordapp.com/attachments/1483217545040232493/1550234585223274537)","sourceHandle":"blake","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550234585697099946","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T19:58:47.196000+00:00","origins":["community"]},{"id":"submission:discord-1550231810959482950","title":"Hey everyone! 👋 I built an optional Jev reranking adapter for [GBrain]( ), Garry Tan’s open-source second brain.","category":"Admin","prompt":null,"description":"Hey everyone! 👋 I built an optional Jev reranking adapter for [GBrain](https://github.com/garrytan/gbrain), Garry Tan’s open-source second brain.\n\nIt uses System One’s typed Score questions to judge query relevance, with context-aware batching and parallel execution. It plugs into GBrain’s existing provider architecture, keeping the Voyage adapter unchanged.\nOne interesting result from a synthetic benchmark with 100 long documents:\n- Active elapsed time: Jev 1.90s vs Voyage 14.40s, excluding quota waits.\n- Nominal API cost: Jev $0.00503 vs Voyage $0.00500.\n- Requests: Jev 4 vs Voyage 42.\n\nThis was one run per provider, using Voyage rerank-3 with evaluation-specific batching and pacing to fit our free-tier account limits. Each provider was packed independently.\n\nThe PR includes the adapter, tests, reproducible inputs, and a breakdown of every request:\nhttps://github.com/garrytan/gbrain/pull/5178\n\nWould love feedback on the scoring\n\nLinked projects:\n• garrytan/gbrain — Garry's Opinionated OpenClaw/Hermes Agent Brain. Contribute to garrytan/gbrain development by creating an account on GitHub. (github.com/garrytan/gbrain)\n• garrytan/gbrain — Garry's Opinionated OpenClaw/Hermes Agent Brain. Contribute to garrytan/gbrain development by creating an account on GitHub. (github.com/garrytan/gbrain/pull/5178)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550231810959482950","story":"Hey everyone! 👋 I built an optional Jev reranking adapter for [GBrain](https://github.com/garrytan/gbrain), Garry Tan’s open-source second brain.\n\nIt uses System One’s typed Score questions to judge query relevance, with context-aware batching and parallel execution. It plugs into GBrain’s existing provider architecture, keeping the Voyage adapter unchanged.\nOne interesting result from a synthetic benchmark with 100 long documents:\n- Active elapsed time: Jev 1.90s vs Voyage 14.40s, excluding quota waits.\n- Nominal API cost: Jev $0.00503 vs Voyage $0.00500.\n- Requests: Jev 4 vs Voyage 42.\n\nThis was one run per provider, using Voyage rerank-3 with evaluation-specific batching and pacing to fit our free-tier account limits. Each provider was packed independently.\n\nThe PR includes the adapter, tests, reproducible inputs, and a breakdown of every request:\nhttps://github.com/garrytan/gbrain/pull/5178\n\nWould love feedback on the scoring\n\nLinked projects:\n• garrytan/gbrain — Garry's Opinionated OpenClaw/Hermes Agent Brain. Contribute to garrytan/gbrain development by creating an account on GitHub. (github.com/garrytan/gbrain)\n• garrytan/gbrain — Garry's Opinionated OpenClaw/Hermes Agent Brain. Contribute to garrytan/gbrain development by creating an account on GitHub. (github.com/garrytan/gbrain/pull/5178)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550231810959482950","sourceHandle":"Daniel Andrade","sourceUrl":"https://github.com/garrytan/gbrain","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T19:47:45.647000+00:00","origins":["community"]},{"id":"submission:discord-1550231170044792852","title":"Diogo reposted my Jev benchmark on X, so thought I’d share it here too!","category":"Admin","prompt":null,"description":"Diogo reposted my Jev benchmark on X, so thought I’d share it here too! 👋\n\nI tested Jev against two Gemini models on 1,565 German and English business emails across 10 categories.\n\nJev came slightly behind on overall accuracy, but was 10–22× cheaper. The confidence scores were the standout: all 737 predictions at ≥99% confidence matched the reference labels, while mistakes clustered at low confidence.\n\nCharts in the thread (reference labels were AI-generated, not human-verified):\nhttps://x.com/CompleteSkeptic/status/2100655158992719907?s=20\n\nCurious how this compares with what others are seeing!\n\nLinked projects:\n• Post by @CompleteSkeptic — yay for private evals and calibrated confidence scores! 🥹 go automation! (x.com/CompleteSkeptic/status/2100655158992719907)\n• Post by @CompleteSkeptic — yay for private evals and calibrated confidence scores! 🥹 go automation! (twitter.com/CompleteSkeptic/status/2100655158992719907)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550231170044792852","story":"Diogo reposted my Jev benchmark on X, so thought I’d share it here too! 👋\n\nI tested Jev against two Gemini models on 1,565 German and English business emails across 10 categories.\n\nJev came slightly behind on overall accuracy, but was 10–22× cheaper. The confidence scores were the standout: all 737 predictions at ≥99% confidence matched the reference labels, while mistakes clustered at low confidence.\n\nCharts in the thread (reference labels were AI-generated, not human-verified):\nhttps://x.com/CompleteSkeptic/status/2100655158992719907?s=20\n\nCurious how this compares with what others are seeing!\n\nLinked projects:\n• Post by @CompleteSkeptic — yay for private evals and calibrated confidence scores! 🥹 go automation! (x.com/CompleteSkeptic/status/2100655158992719907)\n• Post by @CompleteSkeptic — yay for private evals and calibrated confidence scores! 🥹 go automation! (twitter.com/CompleteSkeptic/status/2100655158992719907)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550231170044792852","sourceHandle":"parallax","sourceUrl":"https://x.com/CompleteSkeptic/status/2100655158992719907?s=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T19:45:12.841000+00:00","origins":["community"]},{"id":"submission:discord-1550229700968710274","title":"🃏 🐍 🪽 not sure how the experience of other users will go, but the agents *enjoyed* playing.","category":"Fun","prompt":null,"description":"🃏 🐍 🪽 \nnot sure how the experience of other users will go, but the agents *enjoyed* playing. they know  everything about it though so that doesn't really count. \nif anyone would like to try out my little nonsense game with an agent they can go here: [Harvey](https://harvey-a-game.goobis.chatgpt.site/)\n\nLinked projects:\n• Harvey, a game — -RPK Autonomy (harvey-a-game.goobis.chatgpt.site)\n• HR5tlT8aIAE4ZWQ.png — image/png · 2 MB (cdn.discordapp.com/attachments/1483217545040232493/1550229700587290714)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550229700968710274","story":"🃏 🐍 🪽 \nnot sure how the experience of other users will go, but the agents *enjoyed* playing. they know  everything about it though so that doesn't really count. \nif anyone would like to try out my little nonsense game with an agent they can go here: [Harvey](https://harvey-a-game.goobis.chatgpt.site/)\n\nLinked projects:\n• Harvey, a game — -RPK Autonomy (harvey-a-game.goobis.chatgpt.site)\n• HR5tlT8aIAE4ZWQ.png — image/png · 2 MB (cdn.discordapp.com/attachments/1483217545040232493/1550229700587290714)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550229700968710274","sourceHandle":"Goobis","sourceUrl":"https://harvey-a-game.goobis.chatgpt.site/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T19:39:22.586000+00:00","origins":["community"]},{"id":"submission:discord-1550228219075235840","title":"This is a smurf detector called Gargamel's Gaze which uses opendota API and Jev to understand if a user is a smurf in","category":"Fun","prompt":null,"description":"This is a smurf detector called Gargamel's Gaze which uses \nopendota API and Jev to understand if a user is a smurf in \nDOTA2\n \nSo far 100% of my tests were correct. Try it for yourself. Just need a matchid gargamels-gaze.pages.dev\n\nLinked projects:\n• HScR20oXoAAXtPC.png — image/png · 408 KB (cdn.discordapp.com/attachments/1483217545040232493/1550228218345295903)","story":"This is a smurf detector called Gargamel's Gaze which uses \nopendota API and Jev to understand if a user is a smurf in \nDOTA2\n \nSo far 100% of my tests were correct. Try it for yourself. Just need a matchid gargamels-gaze.pages.dev\n\nLinked projects:\n• HScR20oXoAAXtPC.png — image/png · 408 KB (cdn.discordapp.com/attachments/1483217545040232493/1550228218345295903)","sourceHandle":"M3n0","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550228219075235840","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T19:33:29.275000+00:00","origins":["community"]},{"id":"submission:discord-1550227374090748017","title":"Claude code prototype but using jev 🙂 This is just a fun project but contributions are very welcome","category":"Integrations","prompt":null,"description":"Claude code prototype but using jev 🙂\n\nhttps://github.com/rhighs/jev-code\n\nThis is just a fun project but contributions are very welcome\n\nLinked projects:\n• rhighs/jev-code — Interactive TypeScript coding CLI powered by Jev typed decisions and constrained AST generation. - rhighs/jev-code (github.com/rhighs/jev-code)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550227374090748017","story":"Claude code prototype but using jev 🙂\n\nhttps://github.com/rhighs/jev-code\n\nThis is just a fun project but contributions are very welcome\n\nLinked projects:\n• rhighs/jev-code — Interactive TypeScript coding CLI powered by Jev typed decisions and constrained AST generation. - rhighs/jev-code (github.com/rhighs/jev-code)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550227374090748017","sourceHandle":"Roв","sourceUrl":"https://github.com/rhighs/jev-code","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T19:30:07.815000+00:00","origins":["community"]},{"id":"submission:discord-1550222727502110781","title":"hello again. Here we have an example of a popup window built into iXUI shell aka Desktop Environment.","category":"Work","prompt":null,"description":"<@324647822072741889> hello again. Here we have an example of a popup window built into iXUI shell aka Desktop Environment. Colors adjustment to-do.\n\nLinked projects:\n• e321689cb1e93fda.png — image/png · 85 KB (cdn.discordapp.com/attachments/1483217545040232493/1550222726990663801)","story":"<@324647822072741889> hello again. Here we have an example of a popup window built into iXUI shell aka Desktop Environment. Colors adjustment to-do.\n\nLinked projects:\n• e321689cb1e93fda.png — image/png · 85 KB (cdn.discordapp.com/attachments/1483217545040232493/1550222726990663801)","sourceHandle":"Kot Vzatochnik || Stalker UM","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550222727502110781","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T19:11:39.982000+00:00","origins":["community"]},{"id":"submission:discord-1550216887512604732","title":"Works pretty nicely to classify issues!","category":"Social","prompt":null,"description":"Works pretty nicely to classify issues!\nDid a quick proof of concept, it takes posts from a forum channel in my radio simulator's discord, decides whether it is actually worthy of being tracked, and the severity, and the labels to give it.. then IF it is considered worthy, it is passed to an LLM to generate the title and description of the issue in a more... understandable to me language instead of the half sentence people usually write\n\nLinked projects:\n• image.png — image/png · 169 KB (cdn.discordapp.com/attachments/1483217545040232493/1550216887139442849)","story":"Works pretty nicely to classify issues!\nDid a quick proof of concept, it takes posts from a forum channel in my radio simulator's discord, decides whether it is actually worthy of being tracked, and the severity, and the labels to give it.. then IF it is considered worthy, it is passed to an LLM to generate the title and description of the issue in a more... understandable to me language instead of the half sentence people usually write\n\nLinked projects:\n• image.png — image/png · 169 KB (cdn.discordapp.com/attachments/1483217545040232493/1550216887139442849)","sourceHandle":"qrmcat","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550216887512604732","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T18:48:27.620000+00:00","origins":["community"]},{"id":"submission:discord-1550215944943444088","title":"looking into using Jev in legaltech","category":"Work","prompt":null,"description":"looking into using Jev in legaltech\nhttps://x.com/jan__kubica/status/2100636173249007696?s=20\n\nLinked projects:\n• Post by @jan__kubica — Testing @typesafeai new model, Jev, for legal use cases in @stll_app. As you may have heard, Jev comes from the opposite research direction: it does not generate text but is optimised for decisions instead. A few use cas (x.com/jan__kubica/status/2100636173249007696)\n• Post by @jan__kubica — Testing @typesafeai new model, Jev, for legal use cases in @stll_app. As you may have heard, Jev comes from the opposite research direction: it does not generate text but is optimised for decisions instead. A few use cas (twitter.com/jan__kubica/status/2100636173249007696)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550215944943444088","story":"looking into using Jev in legaltech\nhttps://x.com/jan__kubica/status/2100636173249007696?s=20\n\nLinked projects:\n• Post by @jan__kubica — Testing @typesafeai new model, Jev, for legal use cases in @stll_app. As you may have heard, Jev comes from the opposite research direction: it does not generate text but is optimised for decisions instead. A few use cas (x.com/jan__kubica/status/2100636173249007696)\n• Post by @jan__kubica — Testing @typesafeai new model, Jev, for legal use cases in @stll_app. As you may have heard, Jev comes from the opposite research direction: it does not generate text but is optimised for decisions instead. A few use cas (twitter.com/jan__kubica/status/2100636173249007696)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550215944943444088","sourceHandle":"jk","sourceUrl":"https://x.com/jan__kubica/status/2100636173249007696?s=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T18:44:42.894000+00:00","origins":["community"]},{"id":"submission:discord-1550213945661464706","title":"here are a bunch of roblox jev-ai driven bots attacking eachother","category":"Work","prompt":null,"description":"here are a bunch of roblox jev-ai driven bots attacking eachother\n\nLinked projects:\n• RobloxStudioBeta_5omAiD1CVk.mp4 — video/mp4 · 916 KB (cdn.discordapp.com/attachments/1483217545040232493/1550213945241894912)","story":"here are a bunch of roblox jev-ai driven bots attacking eachother\n\nLinked projects:\n• RobloxStudioBeta_5omAiD1CVk.mp4 — video/mp4 · 916 KB (cdn.discordapp.com/attachments/1483217545040232493/1550213945241894912)","sourceHandle":"euukee","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550213945661464706","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T18:36:46.228000+00:00","origins":["community"]},{"id":"submission:discord-1550213626705485894","title":"Hello. Building an operating system by-the-way. Aiming to run Windows games eventually.","category":"Events","prompt":null,"description":"Hello. Building an operating system by-the-way. Aiming to run Windows games eventually.\n\nLinked projects:\n• 636e9528fa4ebeb9.png — image/png · 81 KB (cdn.discordapp.com/attachments/1483217545040232493/1550213626139377815)","story":"Hello. Building an operating system by-the-way. Aiming to run Windows games eventually.\n\nLinked projects:\n• 636e9528fa4ebeb9.png — image/png · 81 KB (cdn.discordapp.com/attachments/1483217545040232493/1550213626139377815)","sourceHandle":"Kot Vzatochnik || Stalker UM","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550213626705485894","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T18:35:30.183000+00:00","origins":["community"]},{"id":"submission:discord-1550213070419267704","title":"it is playing .","category":"Fun","prompt":null,"description":"it is playing https://www.czechgames.com/games/codenames . one team is sonnet (spymaster) + jev (guesser), the other team is terra + jev.\n\nLinked projects:\n• CGE | CODENAMES — Give your team clever one-word clues to help them spot their agents in the field. (czechgames.com/games/codenames)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550213070419267704","story":"it is playing https://www.czechgames.com/games/codenames . one team is sonnet (spymaster) + jev (guesser), the other team is terra + jev.\n\nLinked projects:\n• CGE | CODENAMES — Give your team clever one-word clues to help them spot their agents in the field. (czechgames.com/games/codenames)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550213070419267704","sourceHandle":"astrostl","sourceUrl":"https://www.czechgames.com/games/codenames","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T18:33:17.554000+00:00","origins":["community"]},{"id":"submission:discord-1550211376901922898","title":"Shared by **MatrixMaven: posts raghuvadapally_ F0 9D 97 A7 F0 9D 97 B5 F0 9D 97 B2 F0","category":"Social","prompt":null,"description":"https://www.linkedin.com/posts/raghuvadapally_%F0%9D%97%A7%F0%9D%97%B5%F0%9D%97%B2-%F0%9D%97%A4%F0%9D%98%82%F0%9D%97%B2%F0%9D%98%80%F0%9D%98%81%F0%9D%97%B6%F0%9D%97%BC%F0%9D%97%BB-%F0%9D%97%A6%F0%9D%97%B5%F0%9D%97%AE%F0%9D%97%BD%F0%9D%97%B2-%F0%9D%97%9C%F0%9D%98%80-%F0%9D%98%81%F0%9D%97%B5%F0%9D%97%B2-activity-7506415829442424832-95UB?utm_source=social_share_send&utm_medium=member_desktop_web&rcm=ACoAAAC35IoB5xF9GSZM4IPL1dUi1CSkUPeBLSU\n\nLinked projects:\n• 𝗧𝗵𝗲 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻 𝗦𝗵𝗮𝗽𝗲 𝗜𝘀 𝘁𝗵𝗲 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 The interesting promise here is simple: AI systems may be  — 𝗧𝗵𝗲 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻 𝗦𝗵𝗮𝗽𝗲 𝗜𝘀 𝘁𝗵𝗲 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 The interesting promise here is simple: AI systems may be able to get much cheaper and faster without getting dumber. A lot of production work does not need a (linkedin.com/posts/raghuvadapally_%F0%9D%97%A7%F0%9D%97%B5%F0%9D%97%B2)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550211376901922898","story":"https://www.linkedin.com/posts/raghuvadapally_%F0%9D%97%A7%F0%9D%97%B5%F0%9D%97%B2-%F0%9D%97%A4%F0%9D%98%82%F0%9D%97%B2%F0%9D%98%80%F0%9D%98%81%F0%9D%97%B6%F0%9D%97%BC%F0%9D%97%BB-%F0%9D%97%A6%F0%9D%97%B5%F0%9D%97%AE%F0%9D%97%BD%F0%9D%97%B2-%F0%9D%97%9C%F0%9D%98%80-%F0%9D%98%81%F0%9D%97%B5%F0%9D%97%B2-activity-7506415829442424832-95UB?utm_source=social_share_send&utm_medium=member_desktop_web&rcm=ACoAAAC35IoB5xF9GSZM4IPL1dUi1CSkUPeBLSU\n\nLinked projects:\n• 𝗧𝗵𝗲 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻 𝗦𝗵𝗮𝗽𝗲 𝗜𝘀 𝘁𝗵𝗲 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 The interesting promise here is simple: AI systems may be  — 𝗧𝗵𝗲 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻 𝗦𝗵𝗮𝗽𝗲 𝗜𝘀 𝘁𝗵𝗲 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 The interesting promise here is simple: AI systems may be able to get much cheaper and faster without getting dumber. A lot of production work does not need a (linkedin.com/posts/raghuvadapally_%F0%9D%97%A7%F0%9D%97%B5%F0%9D%97%B2)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550211376901922898","sourceHandle":"**MatrixMaven","sourceUrl":"https://www.linkedin.com/posts/raghuvadapally_%F0%9D%97%A7%F0%9D%97%B5%F0%9D%97%B2-%F0%9D%97%A4%F0%9D%98%82%F0%9D%97%B2%F0%9D%98%80%F0%9D%98%81%F0%9D%97%B6%F0%9D%97%BC%F0%9D%97%BB-%F0%9D%97%A6%F0%9D%97%B5%F0%9D%97%AE%F0%9D%97%BD%F0%9D%97%B2-%F0%9D%97%9C%F0%9D%98%80-%F0%9D%98%81%F0%9D%97%B5%F0%9D%97%B2-activity-7506415829442424832-95UB?utm_source=social_share_send&utm_medium=member_desktop_web&rcm=ACoAAAC35IoB5xF9GSZM4IPL1dUi1CSkUPeBLSU","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T18:26:33.788000+00:00","origins":["community"]},{"id":"submission:discord-1550204640287658075","title":"jev is really good with interpreting symbolic meaning from emojis lol","category":"Work","prompt":null,"description":"jev is really good with interpreting symbolic meaning from emojis lol\n\nLinked projects:\n• image.png — image/png · 227 KB (cdn.discordapp.com/attachments/1483217545040232493/1550204639863898182)","story":"jev is really good with interpreting symbolic meaning from emojis lol\n\nLinked projects:\n• image.png — image/png · 227 KB (cdn.discordapp.com/attachments/1483217545040232493/1550204639863898182)","sourceHandle":"tlde","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550204640287658075","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T17:59:47.654000+00:00","origins":["community"]},{"id":"submission:discord-1550204162132672603","title":"Static analysis for code comments, powered by TypeSafe.ai: Super-quick vibe coding","category":"Integrations","prompt":null,"description":"Static analysis for code comments, powered by TypeSafe.ai: https://github.com/ari-becker/commentlint\nSuper-quick vibe coding\n\nLinked projects:\n• ari-becker/commentlint — Improve the comments that AI agents add through agent-based static analysis. - ari-becker/commentlint (github.com/ari-becker/commentlint)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550204162132672603","story":"Static analysis for code comments, powered by TypeSafe.ai: https://github.com/ari-becker/commentlint\nSuper-quick vibe coding\n\nLinked projects:\n• ari-becker/commentlint — Improve the comments that AI agents add through agent-based static analysis. - ari-becker/commentlint (github.com/ari-becker/commentlint)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550204162132672603","sourceHandle":"Ari Becker","sourceUrl":"https://github.com/ari-becker/commentlint","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T17:57:53.653000+00:00","origins":["community"]},{"id":"submission:discord-1550203760985513984","title":"In Case you were wondering too...","category":"Social","prompt":null,"description":"In Case you were wondering too... I put together a few explanation simulations for myself so I could get a good idea of how/when to use Jev. Here's the before cowork simulation and explanation: \n\nhttps://x.com/ProTrailblazer/status/2100644635924185449?s=20\n(just started posting on x... don't know nobody.)\n\nLinked projects:\n• Post by @ProTrailblazer — I'm @claudeai Code + @herdrdev all day. I wondered how @typesafeai Jev could be integrated before I got into Claude Code. Put together an interactive simulation and general guide that helped. https://protrailblazer.com/p (x.com/ProTrailblazer/status/2100644635924185449)\n• Post by @ProTrailblazer — I'm @claudeai Code + @herdrdev all day. I wondered how @typesafeai Jev could be integrated before I got into Claude Code. Put together an interactive simulation and general guide that helped. https://protrailblazer.com/p (twitter.com/ProTrailblazer/status/2100644635924185449)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550203760985513984","story":"In Case you were wondering too... I put together a few explanation simulations for myself so I could get a good idea of how/when to use Jev. Here's the before cowork simulation and explanation: \n\nhttps://x.com/ProTrailblazer/status/2100644635924185449?s=20\n(just started posting on x... don't know nobody.)\n\nLinked projects:\n• Post by @ProTrailblazer — I'm @claudeai Code + @herdrdev all day. I wondered how @typesafeai Jev could be integrated before I got into Claude Code. Put together an interactive simulation and general guide that helped. https://protrailblazer.com/p (x.com/ProTrailblazer/status/2100644635924185449)\n• Post by @ProTrailblazer — I'm @claudeai Code + @herdrdev all day. I wondered how @typesafeai Jev could be integrated before I got into Claude Code. Put together an interactive simulation and general guide that helped. https://protrailblazer.com/p (twitter.com/ProTrailblazer/status/2100644635924185449)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550203760985513984","sourceHandle":"3200.Pro","sourceUrl":"https://x.com/ProTrailblazer/status/2100644635924185449?s=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T17:56:18.012000+00:00","origins":["community"]},{"id":"submission:discord-1550203421175320619","title":"Created a semantic linter and LSP!","category":"Integrations","prompt":null,"description":"https://github.com/benomahony/nouls\n\nCreated a semantic linter and LSP!\n\nLinked projects:\n• benomahony/nouls — Contribute to benomahony/nouls development by creating an account on GitHub. (github.com/benomahony/nouls)\n• 11AEA003-85DA-4E08-852F-CFBD06D1EB3A.png — image/png · 260 KB (cdn.discordapp.com/attachments/1483217545040232493/1550203421217390744)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550203421175320619","story":"https://github.com/benomahony/nouls\n\nCreated a semantic linter and LSP!\n\nLinked projects:\n• benomahony/nouls — Contribute to benomahony/nouls development by creating an account on GitHub. (github.com/benomahony/nouls)\n• 11AEA003-85DA-4E08-852F-CFBD06D1EB3A.png — image/png · 260 KB (cdn.discordapp.com/attachments/1483217545040232493/1550203421217390744)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550203421175320619","sourceHandle":"bomarni","sourceUrl":"https://github.com/benomahony/nouls","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T17:54:56.995000+00:00","origins":["community"]},{"id":"submission:discord-1550203365730812055","title":"just grabing your link for example:","category":"Work","prompt":null,"description":"<@136221846059089921> just grabing your link for example: https://fixupx.com/shannon_fano/status/2100639390468833379?s=46\n\nLinked projects:\n• Post by @shannon_fano — got access and been using Jev as the director for my VJ software given he answers in under 500ms with judgments and confidence, he picks the scene, palette, effects and the mix, once a bar in real time cost? around 1$ pe (fixupx.com/shannon_fano/status/2100639390468833379)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550203365730812055","story":"<@136221846059089921> just grabing your link for example: https://fixupx.com/shannon_fano/status/2100639390468833379?s=46\n\nLinked projects:\n• Post by @shannon_fano — got access and been using Jev as the director for my VJ software given he answers in under 500ms with judgments and confidence, he picks the scene, palette, effects and the mix, once a bar in real time cost? around 1$ pe (fixupx.com/shannon_fano/status/2100639390468833379)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550203365730812055","sourceHandle":"Necsbr","sourceUrl":"https://fixupx.com/shannon_fano/status/2100639390468833379?s=46","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T17:54:43.776000+00:00","origins":["community"]},{"id":"submission:discord-1550202616246435882","title":"sharing this crazy idea I had last night, tho the visuals could be better, jev rocks","category":"Work","prompt":null,"description":"sharing this crazy idea I had last night, tho the visuals could be better, jev rocks https://x.com/shannon_fano/status/2100639390468833379?s=46\n\nLinked projects:\n• Post by @shannon_fano — got access and been using Jev as the director for my VJ software given he answers in under 500ms with judgments and confidence, he picks the scene, palette, effects and the mix, once a bar in real time cost? around 1$ pe (x.com/shannon_fano/status/2100639390468833379)\n• Post by @shannon_fano — got access and been using Jev as the director for my VJ software given he answers in under 500ms with judgments and confidence, he picks the scene, palette, effects and the mix, once a bar in real time cost? around 1$ pe (twitter.com/shannon_fano/status/2100639390468833379)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550202616246435882","story":"sharing this crazy idea I had last night, tho the visuals could be better, jev rocks https://x.com/shannon_fano/status/2100639390468833379?s=46\n\nLinked projects:\n• Post by @shannon_fano — got access and been using Jev as the director for my VJ software given he answers in under 500ms with judgments and confidence, he picks the scene, palette, effects and the mix, once a bar in real time cost? around 1$ pe (x.com/shannon_fano/status/2100639390468833379)\n• Post by @shannon_fano — got access and been using Jev as the director for my VJ software given he answers in under 500ms with judgments and confidence, he picks the scene, palette, effects and the mix, once a bar in real time cost? around 1$ pe (twitter.com/shannon_fano/status/2100639390468833379)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550202616246435882","sourceHandle":"shanon fano","sourceUrl":"https://x.com/shannon_fano/status/2100639390468833379?s=46","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T17:51:45.085000+00:00","origins":["community"]},{"id":"submission:discord-1550201318860259468","title":"In-case you are wondering when to use Jev instead of Claude Code.","category":"Work","prompt":null,"description":"In-case you are wondering when to use Jev instead of Claude Code. Here's a quick simulation to try. Super Fast. Super Affordable. (sim data)\nhttps://x.com/ProTrailblazer/status/2100642491804336413?s=20\n\nLinked projects:\n• Post by @ProTrailblazer — When do you use @typesafeai instead of Claude Code? I wasn't sure, so I spun up a dynamic simulation + walkthrough. https://protrailblazer.com/posts/typesafe-instead-of-claude-code/ (x.com/ProTrailblazer/status/2100642491804336413)\n• Post by @ProTrailblazer — When do you use @typesafeai instead of Claude Code? I wasn't sure, so I spun up a dynamic simulation + walkthrough. https://protrailblazer.com/posts/typesafe-instead-of-claude-code/ (twitter.com/ProTrailblazer/status/2100642491804336413)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550201318860259468","story":"In-case you are wondering when to use Jev instead of Claude Code. Here's a quick simulation to try. Super Fast. Super Affordable. (sim data)\nhttps://x.com/ProTrailblazer/status/2100642491804336413?s=20\n\nLinked projects:\n• Post by @ProTrailblazer — When do you use @typesafeai instead of Claude Code? I wasn't sure, so I spun up a dynamic simulation + walkthrough. https://protrailblazer.com/posts/typesafe-instead-of-claude-code/ (x.com/ProTrailblazer/status/2100642491804336413)\n• Post by @ProTrailblazer — When do you use @typesafeai instead of Claude Code? I wasn't sure, so I spun up a dynamic simulation + walkthrough. https://protrailblazer.com/posts/typesafe-instead-of-claude-code/ (twitter.com/ProTrailblazer/status/2100642491804336413)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550201318860259468","sourceHandle":"3200.Pro","sourceUrl":"https://x.com/ProTrailblazer/status/2100642491804336413?s=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T17:46:35.764000+00:00","origins":["community"]},{"id":"submission:discord-1550201182452973700","title":"Got a bit obsessed with the space and built decisionmodels.ai tonight.","category":"Evaluation","prompt":null,"description":"Got a bit obsessed with the space and built decisionmodels.ai tonight.\n\nIt’s an independent field guide to the broader decision-model ecosystem: Jev, open implementations, lineage, benchmarks, and what people are already building.\nI’ve tried to be careful about separating vendor claims from reproduced results, and about showing the work that predates Jev too.\n\nWould love corrections, missing projects, or things I should add:\nhttps://decisionmodels.ai\n\nLinked projects:\n• Decision Models — What They Are and Who Is Building Them — Decision models return typed, bounded, probabilistic choices instead of generated text. A vendor-neutral field guide to the category. (decisionmodels.ai)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550201182452973700","story":"Got a bit obsessed with the space and built decisionmodels.ai tonight.\n\nIt’s an independent field guide to the broader decision-model ecosystem: Jev, open implementations, lineage, benchmarks, and what people are already building.\nI’ve tried to be careful about separating vendor claims from reproduced results, and about showing the work that predates Jev too.\n\nWould love corrections, missing projects, or things I should add:\nhttps://decisionmodels.ai\n\nLinked projects:\n• Decision Models — What They Are and Who Is Building Them — Decision models return typed, bounded, probabilistic choices instead of generated text. A vendor-neutral field guide to the category. (decisionmodels.ai)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550201182452973700","sourceHandle":"sahil","sourceUrl":"https://decisionmodels.ai","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T17:46:03.242000+00:00","origins":["community"]},{"id":"submission:discord-1550196796142264390","title":"JEV PLAYS POKEMON IS BACK","category":"Work","prompt":null,"description":"JEV PLAYS POKEMON IS BACK \n\nhttps://www.twitch.tv/holographicdan?tt_content=channel&tt_medium=mobile_web_share\n\nLinked projects:\n• Twitch — Twitch is the world's leading video platform and community for gamers. (twitch.tv/holographicdan)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550196796142264390","story":"JEV PLAYS POKEMON IS BACK \n\nhttps://www.twitch.tv/holographicdan?tt_content=channel&tt_medium=mobile_web_share\n\nLinked projects:\n• Twitch — Twitch is the world's leading video platform and community for gamers. (twitch.tv/holographicdan)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550196796142264390","sourceHandle":"CYPRESS","sourceUrl":"https://www.twitch.tv/holographicdan?tt_content=channel&tt_medium=mobile_web_share","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T17:28:37.464000+00:00","origins":["community"]},{"id":"submission:discord-1550194971733135530","title":"Models are getting smarter.","category":"Evaluation","prompt":null,"description":"Models are getting smarter. I care about what they’re allowed to do next.\n\nI’m building Nika, an open-source governed runtime for AI workflows.\n\nYou describe a workflow in .nika.yaml, Nika checks what it’s allowed to do before execution, runs models/tools/agents, can stop for human approval, and keeps Proof of what actually happened.\n\nIntent → Check → Run → Proof\n\nWhat I want to explore with Jev is:\n\nJev → typed probabilistic evidence → deterministic policy → authority → action / human → Proof\n\nSo Jev can make thousands of cheap bounded decisions, while Nika keeps control over what those decisions can actually trigger.\n\nLong term: Jev for decisions, Claude/GPT for reasoning, agents for open-ended work, deterministic code for effects. Same workflow and authority model around all of them.\n\nI’m building the Jev integration + a benchmark against normal LLM structured outputs.\n\nOSS: https://github.com/supernovae-st/nika\n\nwould love\n\nLinked projects:\n• supernovae-st/nika — Intent as Code | the workflow language for AI. One file, 4 verbs, one Rust binary. Local-first, any model, AGPL-3.0. 🦋 - supernovae-st/nika (github.com/supernovae-st/nika)\n• IMG_9720.gif — image/gif · 6 MB (cdn.discordapp.com/attachments/1483217545040232493/1550194971028496394)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550194971733135530","story":"Models are getting smarter. I care about what they’re allowed to do next.\n\nI’m building Nika, an open-source governed runtime for AI workflows.\n\nYou describe a workflow in .nika.yaml, Nika checks what it’s allowed to do before execution, runs models/tools/agents, can stop for human approval, and keeps Proof of what actually happened.\n\nIntent → Check → Run → Proof\n\nWhat I want to explore with Jev is:\n\nJev → typed probabilistic evidence → deterministic policy → authority → action / human → Proof\n\nSo Jev can make thousands of cheap bounded decisions, while Nika keeps control over what those decisions can actually trigger.\n\nLong term: Jev for decisions, Claude/GPT for reasoning, agents for open-ended work, deterministic code for effects. Same workflow and authority model around all of them.\n\nI’m building the Jev integration + a benchmark against normal LLM structured outputs.\n\nOSS: https://github.com/supernovae-st/nika\n\nwould love\n\nLinked projects:\n• supernovae-st/nika — Intent as Code | the workflow language for AI. One file, 4 verbs, one Rust binary. Local-first, any model, AGPL-3.0. 🦋 - supernovae-st/nika (github.com/supernovae-st/nika)\n• IMG_9720.gif — image/gif · 6 MB (cdn.discordapp.com/attachments/1483217545040232493/1550194971028496394)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550194971733135530","sourceHandle":"Thibaut","sourceUrl":"https://github.com/supernovae-st/nika","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T17:21:22.491000+00:00","origins":["community"]},{"id":"submission:discord-1550194206994071626","title":"Who said you can’t generate stuff with typesafe figured out a way to generate flow charts using ONLY typesafe and no","category":"Evaluation","prompt":null,"description":"Who said you can’t generate stuff with typesafe figured out a way to generate flow charts using ONLY typesafe and no generative llm still in progress but def has some promise for file retrieval in coding agents https://s1s.iar.dev/\n\nLinked projects:\n• System One Search — Find the code. See how it connects. — Ask a codebase a question. Find the files and follow real source references with System One Search. (s1s.iar.dev)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550194206994071626","story":"Who said you can’t generate stuff with typesafe figured out a way to generate flow charts using ONLY typesafe and no generative llm still in progress but def has some promise for file retrieval in coding agents https://s1s.iar.dev/\n\nLinked projects:\n• System One Search — Find the code. See how it connects. — Ask a codebase a question. Find the files and follow real source references with System One Search. (s1s.iar.dev)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550194206994071626","sourceHandle":"IAmRoot","sourceUrl":"https://s1s.iar.dev/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T17:18:20.163000+00:00","origins":["community"]},{"id":"submission:discord-1550191845672493208","title":"Computer use with Jev and local vision model!","category":"Work","prompt":null,"description":"Computer use with Jev and local vision model! Its so goddamn fast\n\nhttps://x.com/milindlabs/status/2100631847155994852?s=20\n\nLinked projects:\n• Post by @milindlabs — Okay so Jev can actually do computer use really well Without any screenshots, or LLMs and no Pixels leave my mac I dont even read the Dom elements A local CoreML model segments every button and UI element on screen. On-d (x.com/milindlabs/status/2100631847155994852)\n• Post by @milindlabs — Okay so Jev can actually do computer use really well Without any screenshots, or LLMs and no Pixels leave my mac I dont even read the Dom elements A local CoreML model segments every button and UI element on screen. On-d (twitter.com/milindlabs/status/2100631847155994852)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550191845672493208","story":"Computer use with Jev and local vision model! Its so goddamn fast\n\nhttps://x.com/milindlabs/status/2100631847155994852?s=20\n\nLinked projects:\n• Post by @milindlabs — Okay so Jev can actually do computer use really well Without any screenshots, or LLMs and no Pixels leave my mac I dont even read the Dom elements A local CoreML model segments every button and UI element on screen. On-d (x.com/milindlabs/status/2100631847155994852)\n• Post by @milindlabs — Okay so Jev can actually do computer use really well Without any screenshots, or LLMs and no Pixels leave my mac I dont even read the Dom elements A local CoreML model segments every button and UI element on screen. On-d (twitter.com/milindlabs/status/2100631847155994852)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550191845672493208","sourceHandle":"milind","sourceUrl":"https://x.com/milindlabs/status/2100631847155994852?s=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T17:08:57.180000+00:00","origins":["community"]},{"id":"submission:discord-1550189236265816184","title":"working on a project to have jev as a lemma selector in a proof search task when scored against a BM25 heuristic.","category":"Evaluation","prompt":null,"description":"working on a project to have jev as a lemma selector in a proof search task when scored against a BM25 heuristic. It's not winning by speed, but as proofs get more complicated i expect that to change because more accurate earlier choices will prune the tree more rapidly\n\nLinked projects:\n• image.png — image/png · 215 KB (cdn.discordapp.com/attachments/1483217545040232493/1550189235095601182)","story":"working on a project to have jev as a lemma selector in a proof search task when scored against a BM25 heuristic. It's not winning by speed, but as proofs get more complicated i expect that to change because more accurate earlier choices will prune the tree more rapidly\n\nLinked projects:\n• image.png — image/png · 215 KB (cdn.discordapp.com/attachments/1483217545040232493/1550189235095601182)","sourceHandle":"Azure","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550189236265816184","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T16:58:35.049000+00:00","origins":["community"]},{"id":"submission:discord-1550189018715656403","title":"I made a microphone that mutes if you start bullshitting","category":"Work","prompt":null,"description":"https://x.com/sybuilds/status/2100417692096459074?s=46\nI made a microphone that mutes if you start bullshitting\n\nLinked projects:\n• Post by @Sybuilds — Big AI news... Jev enables this microphone that mutes you when you talk BS @typesafeai (x.com/sybuilds/status/2100417692096459074)\n• Post by @Sybuilds — Big AI news... Jev enables this microphone that mutes you when you talk BS @typesafeai (twitter.com/sybuilds/status/2100417692096459074)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550189018715656403","story":"https://x.com/sybuilds/status/2100417692096459074?s=46\nI made a microphone that mutes if you start bullshitting\n\nLinked projects:\n• Post by @Sybuilds — Big AI news... Jev enables this microphone that mutes you when you talk BS @typesafeai (x.com/sybuilds/status/2100417692096459074)\n• Post by @Sybuilds — Big AI news... Jev enables this microphone that mutes you when you talk BS @typesafeai (twitter.com/sybuilds/status/2100417692096459074)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550189018715656403","sourceHandle":"Thinker","sourceUrl":"https://x.com/sybuilds/status/2100417692096459074?s=46","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T16:57:43.181000+00:00","origins":["community"]},{"id":"submission:discord-1550187588172914733","title":"I tried some stuff with Jev and wrote about it.","category":"Work","prompt":null,"description":"I tried some stuff with Jev and wrote about it.  https://isaacflath.com/writing/six-things-i-tried-with-jev\n\nLinked projects:\n• Six things I tried with Jev | Isaac Flath — Checking my scripts, sorting news, finding answers in PDFs, and reviewing agent mistakes: six things I tried with TypeSafe's Jev. (isaacflath.com/writing/six-things-i-tried-with-jev)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550187588172914733","story":"I tried some stuff with Jev and wrote about it.  https://isaacflath.com/writing/six-things-i-tried-with-jev\n\nLinked projects:\n• Six things I tried with Jev | Isaac Flath — Checking my scripts, sorting news, finding answers in PDFs, and reviewing agent mistakes: six things I tried with TypeSafe's Jev. (isaacflath.com/writing/six-things-i-tried-with-jev)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550187588172914733","sourceHandle":"Isaac.Flath","sourceUrl":"https://isaacflath.com/writing/six-things-i-tried-with-jev","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T16:52:02.113000+00:00","origins":["community"]},{"id":"submission:discord-1550187347184853053","title":"I ran Typesafe against some of our existing LLM-driven data/processes comparing it with results from models we're","category":"Work","prompt":null,"description":"I ran Typesafe against some of our existing LLM-driven data/processes comparing it with results from models we're using now and it basically won in every category. Really impressive.  \n\nThe data in these screens won't mean a whole lot without context, but it's pretty easy to see that Typesafe was faster, cheaper, and more accurate across the board.\n\nLinked projects:\n• Screenshot_2026-09-17_at_12.09.53_PM.png — image/png · 118 KB (cdn.discordapp.com/attachments/1483217545040232493/1550187346421612604)\n• Screenshot_2026-09-17_at_12.35.39_PM.png — image/png · 99 KB (cdn.discordapp.com/attachments/1483217545040232493/1550187346715217941)\n• Screenshot_2026-09-17_at_12.35.45_PM.png — image/png · 85 KB (cdn.discordapp.com/attachments/1483217545040232493/1550187346983395449)","story":"I ran Typesafe against some of our existing LLM-driven data/processes comparing it with results from models we're using now and it basically won in every category. Really impressive.  \n\nThe data in these screens won't mean a whole lot without context, but it's pretty easy to see that Typesafe was faster, cheaper, and more accurate across the board.\n\nLinked projects:\n• Screenshot_2026-09-17_at_12.09.53_PM.png — image/png · 118 KB (cdn.discordapp.com/attachments/1483217545040232493/1550187346421612604)\n• Screenshot_2026-09-17_at_12.35.39_PM.png — image/png · 99 KB (cdn.discordapp.com/attachments/1483217545040232493/1550187346715217941)\n• Screenshot_2026-09-17_at_12.35.45_PM.png — image/png · 85 KB (cdn.discordapp.com/attachments/1483217545040232493/1550187346983395449)","sourceHandle":"csimpkins","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550187347184853053","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T16:51:04.657000+00:00","origins":["community"]},{"id":"submission:discord-1550186152194080790","title":"I want to use Jev as a high-throughput security triage layer for bug bounty / vuln research — scoring thousands of","category":"Evaluation","prompt":null,"description":"I want to use Jev as a high-throughput security triage layer for bug bounty / vuln research — scoring thousands of code paths and hypotheses for attacker control, trust-boundary crossing, duplicate risk, evidence quality, and whether they’re worth escalating to the more classic and expensive LLM reasoning agents like Claude or Daybreak Blue\n\nI already have a small eval set from real security research with PROMOTE / HOLD / KILL outcomes, so I’d love to benchmark Jev on whether it can rank the same cases correctly.","story":"I want to use Jev as a high-throughput security triage layer for bug bounty / vuln research — scoring thousands of code paths and hypotheses for attacker control, trust-boundary crossing, duplicate risk, evidence quality, and whether they’re worth escalating to the more classic and expensive LLM reasoning agents like Claude or Daybreak Blue\n\nI already have a small eval set from real security research with PROMOTE / HOLD / KILL outcomes, so I’d love to benchmark Jev on whether it can rank the same cases correctly.","sourceHandle":"no meaning","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550186152194080790","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T16:46:19.749000+00:00","origins":["community"]},{"id":"submission:discord-1550184776970010676","title":"gotta stay focused on my day job, but i kicked off a claude dynamic workflow this morning, and 5 hours later i had","category":"Productivity","prompt":null,"description":"gotta stay focused on my day job, but i kicked off a claude dynamic workflow this morning, and 5 hours later i had this...will hack on it when i can... https://x.com/pj4533/status/2100624540938260919?s=20\n\nLinked projects:\n• Post by @pj4533 — @typesafeai Well the one shot actually works...needs a lot of tweaking tho. Will work on it tonight/this weekend. Seems to get stuck quite a bit. (x.com/pj4533/status/2100624540938260919)\n• Post by @pj4533 — @typesafeai Well the one shot actually works...needs a lot of tweaking tho. Will work on it tonight/this weekend. Seems to get stuck quite a bit. (twitter.com/pj4533/status/2100624540938260919)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550184776970010676","story":"gotta stay focused on my day job, but i kicked off a claude dynamic workflow this morning, and 5 hours later i had this...will hack on it when i can... https://x.com/pj4533/status/2100624540938260919?s=20\n\nLinked projects:\n• Post by @pj4533 — @typesafeai Well the one shot actually works...needs a lot of tweaking tho. Will work on it tonight/this weekend. Seems to get stuck quite a bit. (x.com/pj4533/status/2100624540938260919)\n• Post by @pj4533 — @typesafeai Well the one shot actually works...needs a lot of tweaking tho. Will work on it tonight/this weekend. Seems to get stuck quite a bit. (twitter.com/pj4533/status/2100624540938260919)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550184776970010676","sourceHandle":"pj4533","sourceUrl":"https://x.com/pj4533/status/2100624540938260919?s=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T16:40:51.870000+00:00","origins":["community"]},{"id":"submission:discord-1550181630369472724","title":"Shared by Bonadio: posts cesarbonadio_ai artificialintelligence typesafe activi","category":"Social","prompt":null,"description":"https://www.linkedin.com/posts/cesarbonadio_ai-artificialintelligence-typesafe-activity-7506387402157088768-A5uP?utm_source=share&utm_medium=member_desktop&rcm=ACoAAAFNzvoB4_yNm_fowJ0EOS7QudCE_rnRLJw\n\nLinked projects:\n• #ai #artificialintelligence #typesafe #tetris #softwareengineering #machinelearning | Cesar Bonadio — Muita diversão hoje testando o novo modelo de IA da TypeSafe — o novo “new kid on the block” no mundo da IA. 🤖🎮 A proposta é bem diferente dos LLMs que estamos acostumados a usar: o modelo é voltado para classificações (linkedin.com/posts/cesarbonadio_ai-artificialintelligence-typesafe-act)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550181630369472724","story":"https://www.linkedin.com/posts/cesarbonadio_ai-artificialintelligence-typesafe-activity-7506387402157088768-A5uP?utm_source=share&utm_medium=member_desktop&rcm=ACoAAAFNzvoB4_yNm_fowJ0EOS7QudCE_rnRLJw\n\nLinked projects:\n• #ai #artificialintelligence #typesafe #tetris #softwareengineering #machinelearning | Cesar Bonadio — Muita diversão hoje testando o novo modelo de IA da TypeSafe — o novo “new kid on the block” no mundo da IA. 🤖🎮 A proposta é bem diferente dos LLMs que estamos acostumados a usar: o modelo é voltado para classificações (linkedin.com/posts/cesarbonadio_ai-artificialintelligence-typesafe-act)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550181630369472724","sourceHandle":"Bonadio","sourceUrl":"https://www.linkedin.com/posts/cesarbonadio_ai-artificialintelligence-typesafe-activity-7506387402157088768-A5uP?utm_source=share&utm_medium=member_desktop&rcm=ACoAAAFNzvoB4_yNm_fowJ0EOS7QudCE_rnRLJw","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T16:28:21.662000+00:00","origins":["community"]},{"id":"submission:discord-1550181423699202083","title":"Jev is sick btw, I am trying to use it with my project and tehre is bunch wecan do with it, but if anyone wants, I","category":"Fun","prompt":null,"description":"Jev is sick btw, I am  trying to use it with my project and tehre is bunch wecan do with it, but if anyone wants, I bought a key for this fun thing I built at lunch, you can try to beat Jev at board games here 😄 https://jevboardgames.everpaper.app/\n\nLinked projects:\n• Jev Plays — Tic-tac-toe and Connect Four against Jev. The model picks the move, the code keeps the rules. (jevboardgames.everpaper.app)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550181423699202083","story":"Jev is sick btw, I am  trying to use it with my project and tehre is bunch wecan do with it, but if anyone wants, I bought a key for this fun thing I built at lunch, you can try to beat Jev at board games here 😄 https://jevboardgames.everpaper.app/\n\nLinked projects:\n• Jev Plays — Tic-tac-toe and Connect Four against Jev. The model picks the move, the code keeps the rules. (jevboardgames.everpaper.app)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550181423699202083","sourceHandle":"ianne","sourceUrl":"https://jevboardgames.everpaper.app/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T16:27:32.388000+00:00","origins":["community"]},{"id":"submission:discord-1550178759414644789","title":"Video created with our new “Motion Labs”, try it here for your own short/launch videos:","category":"Work","prompt":null,"description":"Video created with our new “Motion Labs”, try it here for your own short/launch videos: https://motion.sereneinteractive.com\n\nLinked projects:\n• Motion Labs — Serene Interactive — Turn a little idea into a beautifully directed short film. Motion Labs by Serene Interactive. (motion.sereneinteractive.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550178759414644789","story":"Video created with our new “Motion Labs”, try it here for your own short/launch videos: https://motion.sereneinteractive.com\n\nLinked projects:\n• Motion Labs — Serene Interactive — Turn a little idea into a beautifully directed short film. Motion Labs by Serene Interactive. (motion.sereneinteractive.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550178759414644789","sourceHandle":"Gianni","sourceUrl":"https://motion.sereneinteractive.com","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T16:16:57.173000+00:00","origins":["community"]},{"id":"submission:discord-1550178328982327470","title":"Just released the macOS app, contributions welcome (pls)","category":"Integrations","prompt":null,"description":"Just released the macOS app, contributions welcome (pls) https://github.com/serene-interactive/Seagreen/releases/tag/v3.0.0\n\nLinked projects:\n• serene-interactive/Seagreen — A lighter footprint. A clearer picture. Local resource and energy monitoring with a native macOS app, Windows web UI, and CLI. - serene-interactive/Seagreen (github.com/serene-interactive/Seagreen/releases/tag/v3.0.0)\n• Seagreen-v3.0.0_Release.mov — video/quicktime · 4 MB (cdn.discordapp.com/attachments/1483217545040232493/1550178328382546001)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550178328982327470","story":"Just released the macOS app, contributions welcome (pls) https://github.com/serene-interactive/Seagreen/releases/tag/v3.0.0\n\nLinked projects:\n• serene-interactive/Seagreen — A lighter footprint. A clearer picture. Local resource and energy monitoring with a native macOS app, Windows web UI, and CLI. - serene-interactive/Seagreen (github.com/serene-interactive/Seagreen/releases/tag/v3.0.0)\n• Seagreen-v3.0.0_Release.mov — video/quicktime · 4 MB (cdn.discordapp.com/attachments/1483217545040232493/1550178328382546001)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550178328982327470","sourceHandle":"Gianni","sourceUrl":"https://github.com/serene-interactive/Seagreen/releases/tag/v3.0.0","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T16:15:14.550000+00:00","origins":["community"]},{"id":"submission:discord-1550175624960811123","title":"Ok, time to build a Human-AI guided gaming system.","category":"Fun","prompt":null,"description":"Ok, time to build a Human-AI guided gaming system. Think something along the lines of watching your child play, letting them ask basic questions, but if they get stuck you can give them hints that dynamically change the gameplay as they continue to learn.\n\nStarting with Final Fantasy....\n\nhttps://x.com/nawtayei/status/2100607727978369138?s=20\n\nLinked projects:\n• Post by @nawtayei — Thanks @faadilhshaik for sharing the repo! A quick modification and dropped in Final Fantasy and I'm off to the races! Next up is building in my audio agent to dynamically modify the TypeSafe rules so that as it is playi (x.com/nawtayei/status/2100607727978369138)\n• Post by @nawtayei — Thanks @faadilhshaik for sharing the repo! A quick modification and dropped in Final Fantasy and I'm off to the races! Next up is building in my audio agent to dynamically modify the TypeSafe rules so that as it is playi (twitter.com/nawtayei/status/2100607727978369138)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550175624960811123","story":"Ok, time to build a Human-AI guided gaming system. Think something along the lines of watching your child play, letting them ask basic questions, but if they get stuck you can give them hints that dynamically change the gameplay as they continue to learn.\n\nStarting with Final Fantasy....\n\nhttps://x.com/nawtayei/status/2100607727978369138?s=20\n\nLinked projects:\n• Post by @nawtayei — Thanks @faadilhshaik for sharing the repo! A quick modification and dropped in Final Fantasy and I'm off to the races! Next up is building in my audio agent to dynamically modify the TypeSafe rules so that as it is playi (x.com/nawtayei/status/2100607727978369138)\n• Post by @nawtayei — Thanks @faadilhshaik for sharing the repo! A quick modification and dropped in Final Fantasy and I'm off to the races! Next up is building in my audio agent to dynamically modify the TypeSafe rules so that as it is playi (twitter.com/nawtayei/status/2100607727978369138)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550175624960811123","sourceHandle":"nawtayei","sourceUrl":"https://x.com/nawtayei/status/2100607727978369138?s=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T16:04:29.861000+00:00","origins":["community"]},{"id":"submission:discord-1550175124097867846","title":"I let Jev played Spy among us and compare performance with Opous.","category":"Admin","prompt":null,"description":"I let Jev played Spy among us and compare performance with Opous. it's great\n\nhttps://x.com/pcp_liu/status/2100614050304458791\n\nLinked projects:\n• Post by @pcp_liu — I did a quick play with Jev on game `Spy among us`. I let fable generated 10 pairs of words, super hard. Like `sofa` v.s. `armchair`, `Hurricane` v.s. `Tornado`, `Guitar` v.s. `Ukulele`, `Wedding` v.s. `Engagement party` (x.com/pcp_liu/status/2100614050304458791)\n• Post by @pcp_liu — I did a quick play with Jev on game `Spy among us`. I let fable generated 10 pairs of words, super hard. Like `sofa` v.s. `armchair`, `Hurricane` v.s. `Tornado`, `Guitar` v.s. `Ukulele`, `Wedding` v.s. `Engagement party` (twitter.com/pcp_liu/status/2100614050304458791)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550175124097867846","story":"I let Jev played Spy among us and compare performance with Opous. it's great\n\nhttps://x.com/pcp_liu/status/2100614050304458791\n\nLinked projects:\n• Post by @pcp_liu — I did a quick play with Jev on game `Spy among us`. I let fable generated 10 pairs of words, super hard. Like `sofa` v.s. `armchair`, `Hurricane` v.s. `Tornado`, `Guitar` v.s. `Ukulele`, `Wedding` v.s. `Engagement party` (x.com/pcp_liu/status/2100614050304458791)\n• Post by @pcp_liu — I did a quick play with Jev on game `Spy among us`. I let fable generated 10 pairs of words, super hard. Like `sofa` v.s. `armchair`, `Hurricane` v.s. `Tornado`, `Guitar` v.s. `Ukulele`, `Wedding` v.s. `Engagement party` (twitter.com/pcp_liu/status/2100614050304458791)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550175124097867846","sourceHandle":"pppliu","sourceUrl":"https://x.com/pcp_liu/status/2100614050304458791","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T16:02:30.446000+00:00","origins":["community"]},{"id":"submission:discord-1550174923379703938","title":"i made a pi extension that lets you select how much detail you want in the agent outputs.","category":"Work","prompt":null,"description":"i made a pi extension that lets you select how much detail you want in the agent outputs. tons of very awesome stuff you can do with the pi renderer!\nhttps://x.com/tedkalaw/status/2100453504997531751\n\nLinked projects:\n• Post by @tedkalaw — using jev and the sick new markdown renderer in @pidotdev , i made a pi-extension that lets you toggle how much detail you want in the agent output. this was motivated by my inability to understand what opus 5 was gettin (x.com/tedkalaw/status/2100453504997531751)\n• Post by @tedkalaw — using jev and the sick new markdown renderer in @pidotdev , i made a pi-extension that lets you toggle how much detail you want in the agent output. this was motivated by my inability to understand what opus 5 was gettin (twitter.com/tedkalaw/status/2100453504997531751)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550174923379703938","story":"i made a pi extension that lets you select how much detail you want in the agent outputs. tons of very awesome stuff you can do with the pi renderer!\nhttps://x.com/tedkalaw/status/2100453504997531751\n\nLinked projects:\n• Post by @tedkalaw — using jev and the sick new markdown renderer in @pidotdev , i made a pi-extension that lets you toggle how much detail you want in the agent output. this was motivated by my inability to understand what opus 5 was gettin (x.com/tedkalaw/status/2100453504997531751)\n• Post by @tedkalaw — using jev and the sick new markdown renderer in @pidotdev , i made a pi-extension that lets you toggle how much detail you want in the agent output. this was motivated by my inability to understand what opus 5 was gettin (twitter.com/tedkalaw/status/2100453504997531751)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550174923379703938","sourceHandle":"tedkalaw","sourceUrl":"https://x.com/tedkalaw/status/2100453504997531751","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T16:01:42.591000+00:00","origins":["community"]},{"id":"submission:discord-1550172384869490688","title":"Check it out here now, I'm helping to contribute to this repository; we have versions for Android, iOS, Mac, and","category":"Integrations","prompt":null,"description":"https://github.com/milind-soni/OpenMausBot\n\nCheck it out here now, I'm helping to contribute to this repository; we have versions for Android, iOS, Mac, and Windows.\n\nLinked projects:\n• milind-soni/OpenMausBot — Open Source Alternative to Grok Bot with a virtual machine that bots can use - milind-soni/OpenMausBot (github.com/milind-soni/OpenMausBot)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550172384869490688","story":"https://github.com/milind-soni/OpenMausBot\n\nCheck it out here now, I'm helping to contribute to this repository; we have versions for Android, iOS, Mac, and Windows.\n\nLinked projects:\n• milind-soni/OpenMausBot — Open Source Alternative to Grok Bot with a virtual machine that bots can use - milind-soni/OpenMausBot (github.com/milind-soni/OpenMausBot)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550172384869490688","sourceHandle":"KesleyDEV","sourceUrl":"https://github.com/milind-soni/OpenMausBot","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T15:51:37.363000+00:00","origins":["community"]},{"id":"submission:discord-1550172308696604793","title":"Just got access to Jev and integrated it into our AI try-on app!","category":"Evaluation","prompt":null,"description":"Just got access to Jev and integrated it into our AI try-on app! It helps find matching pieces to complete an outfit - our first live test returned styling decisions in ~420 ms.\n Try it here: https://tryon.everyframe.studio/\n\nLinked projects:\n• Everyframe Try-on — Your next look. In motion. — Upload your photo, discover real clothing, and preview your outfit in an AI try-on video. (tryon.everyframe.studio)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550172308696604793","story":"Just got access to Jev and integrated it into our AI try-on app! It helps find matching pieces to complete an outfit - our first live test returned styling decisions in ~420 ms.\n Try it here: https://tryon.everyframe.studio/\n\nLinked projects:\n• Everyframe Try-on — Your next look. In motion. — Upload your photo, discover real clothing, and preview your outfit in an AI try-on video. (tryon.everyframe.studio)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550172308696604793","sourceHandle":"jaxvin","sourceUrl":"https://tryon.everyframe.studio/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T15:51:19.202000+00:00","origins":["community"]},{"id":"submission:discord-1550172026407223407","title":"This repository looks amazing, I'm eager to get access and start using it.","category":"Integrations","prompt":null,"description":"This repository looks amazing, I'm eager to get access and start using it.\nhttps://github.com/browser-use/jev-ultrafast\n\nLinked projects:\n• browser-use/jev-ultrafast — i. am. speed. Contribute to browser-use/jev-ultrafast development by creating an account on GitHub. (github.com/browser-use/jev-ultrafast)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550172026407223407","story":"This repository looks amazing, I'm eager to get access and start using it.\nhttps://github.com/browser-use/jev-ultrafast\n\nLinked projects:\n• browser-use/jev-ultrafast — i. am. speed. Contribute to browser-use/jev-ultrafast development by creating an account on GitHub. (github.com/browser-use/jev-ultrafast)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550172026407223407","sourceHandle":"KesleyDEV","sourceUrl":"https://github.com/browser-use/jev-ultrafast","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T15:50:11.899000+00:00","origins":["community"]},{"id":"submission:discord-1550171918584385688","title":"Nice, I also tried a very inefficient redaction scheme with Jev Basically split the sentence into words and ask one","category":"Work","prompt":null,"description":"Nice, I also tried a very inefficient redaction scheme with Jev\nBasically split the sentence into words and ask one question for each: \"should the word \"X\" at index Y be redacted?\" Yes/No\nhttps://x.com/danmana/status/2100550435094278475\n\nLinked projects:\n• Post by @danmana — Bonus use-case for Jev - redacting PII information (inefficiently 🙈) (x.com/danmana/status/2100550435094278475)\n• Post by @danmana — Bonus use-case for Jev - redacting PII information (inefficiently 🙈) (twitter.com/danmana/status/2100550435094278475)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550171918584385688","story":"Nice, I also tried a very inefficient redaction scheme with Jev\nBasically split the sentence into words and ask one question for each: \"should the word \"X\" at index Y be redacted?\" Yes/No\nhttps://x.com/danmana/status/2100550435094278475\n\nLinked projects:\n• Post by @danmana — Bonus use-case for Jev - redacting PII information (inefficiently 🙈) (x.com/danmana/status/2100550435094278475)\n• Post by @danmana — Bonus use-case for Jev - redacting PII information (inefficiently 🙈) (twitter.com/danmana/status/2100550435094278475)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550171918584385688","sourceHandle":"danmana","sourceUrl":"https://x.com/danmana/status/2100550435094278475","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T15:49:46.192000+00:00","origins":["community"]},{"id":"submission:discord-1550171827555541022","title":"You could also use a token classifier to redact PII for even cheaper and actually private.","category":"Work","prompt":null,"description":"You could also use a token classifier to redact PII for even cheaper and actually private. Example open-weights model: https://huggingface.co/openai/privacy-filter\n\nLinked projects:\n• openai/privacy-filter · Hugging Face — We’re on a journey to advance and democratize artificial intelligence through open source and open science. (huggingface.co/openai/privacy-filter)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550171827555541022","story":"You could also use a token classifier to redact PII for even cheaper and actually private. Example open-weights model: https://huggingface.co/openai/privacy-filter\n\nLinked projects:\n• openai/privacy-filter · Hugging Face — We’re on a journey to advance and democratize artificial intelligence through open source and open science. (huggingface.co/openai/privacy-filter)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550171827555541022","sourceHandle":"gefrom","sourceUrl":"https://huggingface.co/openai/privacy-filter","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T15:49:24.489000+00:00","origins":["community"]},{"id":"submission:discord-1550170276380020826","title":"Built content-aware PII redaction in Postgres with Neon and Jev (TypeSafe) where redaction on support messages is not","category":"Admin","prompt":null,"description":"Built content-aware PII redaction in Postgres with Neon and Jev (TypeSafe) where redaction on support messages is not on entire column bluntly, but only on meaningful bits: https://pg-redact.vercel.app\n\nCode: https://github.com/rishi-raj-jain/pg-redact\n\n• Jev reads each message and tags the personal bits: names, emails, phones, addresses, and IDs\n• The masking runs inside Neon Postgres as a redact() SQL function\n• Guest see nothing, support sees names/emails/phones, admin sees everything\n• Only the personal bits get blacked out, the rest of the message stays readable, no blunt whole-column mask\n• Anything you are not cleared for never leaves the database, the browser only ever gets █ blocks, never the real text\n• Deployed on Vercel\n\nSupport the launch on https://x.com/rishi_raj_jain_/status/2100606501501169726\n\nLinked projects:\n• pg_redact — Content-aware PII redaction, enforced in Postgres — A live demo of content-aware PII redaction: a support inbox in Neon Postgres where Jev (TypeSafe System One) classifies every field, and a redact() SQL function reveals or seals it by your clearance level. Switch roles a (pg-redact.vercel.app)\n• rishi-raj-jain/pg-redact — Content-aware PII redaction enforced in Neon Postgres: a redact() SQL function reveals or seals each field by your role. - rishi-raj-jain/pg-redact (github.com/rishi-raj-jain/pg-redact)\n• Post by @rishi_raj_jain_ — Built content-aware PII redaction in Postgres with @neondatabase and @typesafeai's Jev where redaction on support messages is not on entire column bluntly, but only on meaningful bits: http://pg-redact.vercel.app 🎉 • Je (x.com/rishi_raj_jain_/status/2100606501501169726)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550170276380020826","story":"Built content-aware PII redaction in Postgres with Neon and Jev (TypeSafe) where redaction on support messages is not on entire column bluntly, but only on meaningful bits: https://pg-redact.vercel.app\n\nCode: https://github.com/rishi-raj-jain/pg-redact\n\n• Jev reads each message and tags the personal bits: names, emails, phones, addresses, and IDs\n• The masking runs inside Neon Postgres as a redact() SQL function\n• Guest see nothing, support sees names/emails/phones, admin sees everything\n• Only the personal bits get blacked out, the rest of the message stays readable, no blunt whole-column mask\n• Anything you are not cleared for never leaves the database, the browser only ever gets █ blocks, never the real text\n• Deployed on Vercel\n\nSupport the launch on https://x.com/rishi_raj_jain_/status/2100606501501169726\n\nLinked projects:\n• pg_redact — Content-aware PII redaction, enforced in Postgres — A live demo of content-aware PII redaction: a support inbox in Neon Postgres where Jev (TypeSafe System One) classifies every field, and a redact() SQL function reveals or seals it by your clearance level. Switch roles a (pg-redact.vercel.app)\n• rishi-raj-jain/pg-redact — Content-aware PII redaction enforced in Neon Postgres: a redact() SQL function reveals or seals each field by your role. - rishi-raj-jain/pg-redact (github.com/rishi-raj-jain/pg-redact)\n• Post by @rishi_raj_jain_ — Built content-aware PII redaction in Postgres with @neondatabase and @typesafeai's Jev where redaction on support messages is not on entire column bluntly, but only on meaningful bits: http://pg-redact.vercel.app 🎉 • Je (x.com/rishi_raj_jain_/status/2100606501501169726)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550170276380020826","sourceHandle":"Rishi Raj Jain","sourceUrl":"https://github.com/rishi-raj-jain/pg-redact","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T15:43:14.660000+00:00","origins":["community"]},{"id":"submission:discord-1550169867796348948","title":"I'm building orgtools.com to better align decision-making to an organization's strategy and institutional knowledge.","category":"Home","prompt":null,"description":"I'm building orgtools.com to better align decision-making to an organization's strategy and institutional knowledge. Based on my experience hitting ~75 employees with last start-up and feeling everything start to slow down... it was really difficult to stay eyes-on/hands-on in an effective way without over-delegating or micro-managing. \n\nConverted a simple workflow to Jev last night... a user describes a decision they need to make which is pattern-matched to a decision type so I can pull history, best practices, etc. \n\nJust ran evals and Jev is 25x faster... 0.15s median vs 3.85s for Gemini 3.8 Flash and the confidence is _much_ better. This is huge for UX, nice work TypeSafe team!\n\nI currently have 54 LLM workflows of which Jev would probably be well-suited for ~15 of them, excited to continue evaluating, exploring.\n\nLinked projects:\n• Screenshot_2026-09-17_at_8.25.02_AM.png — image/png · 141 KB (cdn.discordapp.com/attachments/1483217545040232493/1550169866970075196)\n• Screenshot_2026-09-17_at_8.41.28_AM.png — image/png · 151 KB (cdn.discordapp.com/attachments/1483217545040232493/1550169867481784421)","story":"I'm building orgtools.com to better align decision-making to an organization's strategy and institutional knowledge. Based on my experience hitting ~75 employees with last start-up and feeling everything start to slow down... it was really difficult to stay eyes-on/hands-on in an effective way without over-delegating or micro-managing. \n\nConverted a simple workflow to Jev last night... a user describes a decision they need to make which is pattern-matched to a decision type so I can pull history, best practices, etc. \n\nJust ran evals and Jev is 25x faster... 0.15s median vs 3.85s for Gemini 3.8 Flash and the confidence is _much_ better. This is huge for UX, nice work TypeSafe team!\n\nI currently have 54 LLM workflows of which Jev would probably be well-suited for ~15 of them, excited to continue evaluating, exploring.\n\nLinked projects:\n• Screenshot_2026-09-17_at_8.25.02_AM.png — image/png · 141 KB (cdn.discordapp.com/attachments/1483217545040232493/1550169866970075196)\n• Screenshot_2026-09-17_at_8.41.28_AM.png — image/png · 151 KB (cdn.discordapp.com/attachments/1483217545040232493/1550169867481784421)","sourceHandle":"alpiner13","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550169867796348948","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T15:41:37.246000+00:00","origins":["community"]},{"id":"submission:discord-1550169353704706128","title":"Built something with Jev and wanted to share it here.","category":"Evaluation","prompt":null,"description":"Built something with Jev and wanted to share it here.\n\nEver faced this issue that your AI Coding agent fixed and issue, raised a PR but somehow later the same issue is reproducible? You agent adds more tests, write more code yet the issue doesnt resolve properly. I built a github app to fix this situation itself. Its lightning fast(better than other code review tools iykyk). Full intro video here:\n\nhttps://x.com/itsayush__/status/2100600179615518918?s=20\n\n<@1483209038886998066>\n\nLinked projects:\n• Post by @itsayush__ — AI coding agents just got caught lacking! Built Greenwash, a GitHub app that catches AI coding agents pass the CI checks silently. This tool reviews the PR lightning fast! ⚡️ Built with Jev, the model from @typesafeai. H (x.com/itsayush__/status/2100600179615518918)\n• Post by @itsayush__ — AI coding agents just got caught lacking! Built Greenwash, a GitHub app that catches AI coding agents pass the CI checks silently. This tool reviews the PR lightning fast! ⚡️ Built with Jev, the model from @typesafeai. H (twitter.com/itsayush__/status/2100600179615518918)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550169353704706128","story":"Built something with Jev and wanted to share it here.\n\nEver faced this issue that your AI Coding agent fixed and issue, raised a PR but somehow later the same issue is reproducible? You agent adds more tests, write more code yet the issue doesnt resolve properly. I built a github app to fix this situation itself. Its lightning fast(better than other code review tools iykyk). Full intro video here:\n\nhttps://x.com/itsayush__/status/2100600179615518918?s=20\n\n<@1483209038886998066>\n\nLinked projects:\n• Post by @itsayush__ — AI coding agents just got caught lacking! Built Greenwash, a GitHub app that catches AI coding agents pass the CI checks silently. This tool reviews the PR lightning fast! ⚡️ Built with Jev, the model from @typesafeai. H (x.com/itsayush__/status/2100600179615518918)\n• Post by @itsayush__ — AI coding agents just got caught lacking! Built Greenwash, a GitHub app that catches AI coding agents pass the CI checks silently. This tool reviews the PR lightning fast! ⚡️ Built with Jev, the model from @typesafeai. H (twitter.com/itsayush__/status/2100600179615518918)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550169353704706128","sourceHandle":"Ayush","sourceUrl":"https://x.com/itsayush__/status/2100600179615518918?s=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T15:39:34.677000+00:00","origins":["community"]},{"id":"submission:discord-1550169183034024118","title":"State: ``` { \"text\": \"\\\"I would rather go back to the realm, than face Boston.","category":"Family","prompt":null,"description":"State:\n```\n{\n  \"text\": \"\\\"I would rather go back to the realm, than face Boston. I can't imagine he would want to see me...\\\" There is a tone in that sentence... That carries decades of shame.. \\\"I was... A total failure as a brother and a coward...\\\" \\\"My apologies... I can't imagine you care about that.. with your fiance in danger.. I'm so sorry.... I couldn't stop her. I wish I could have. - but I will help you however I can to make sure that you and your family are safe... And ending her... Will be my unlife goal. She's so dangerous..\\\"\"\n}\n```\n\nResult:\n```\nlevel_of_post\n\nHow good is this post from discord `text`\nSomewhat Detailed\n65%\nSimple Post\n30%\nVery Detailed\n5%\nConfidence: 47%\n}\n```\n\nThis took me a fraction of the time and no training.  It shows a LOT of promise.  Well done.","story":"State:\n```\n{\n  \"text\": \"\\\"I would rather go back to the realm, than face Boston. I can't imagine he would want to see me...\\\" There is a tone in that sentence... That carries decades of shame.. \\\"I was... A total failure as a brother and a coward...\\\" \\\"My apologies... I can't imagine you care about that.. with your fiance in danger.. I'm so sorry.... I couldn't stop her. I wish I could have. - but I will help you however I can to make sure that you and your family are safe... And ending her... Will be my unlife goal. She's so dangerous..\\\"\"\n}\n```\n\nResult:\n```\nlevel_of_post\n\nHow good is this post from discord `text`\nSomewhat Detailed\n65%\nSimple Post\n30%\nVery Detailed\n5%\nConfidence: 47%\n}\n```\n\nThis took me a fraction of the time and no training.  It shows a LOT of promise.  Well done.","sourceHandle":"Scott O’Bryan","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550169183034024118","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T15:38:53.986000+00:00","origins":["community"]},{"id":"submission:discord-1550169173491974215","title":"States: ``` { \"text\": \"Buzz settled into the recliner like it was the only piece of his life that hadn’t been","category":"Money","prompt":null,"description":"States: \n```\n{\n  \"text\": \"Buzz settled into the recliner like it was the only piece of his life that hadn’t been outsourced to chaos, chaos goggles already spinning and clicking as they hunted for alignment. This was the old Buzz Bin—his first haunt, the one they’d moved out of when Star and he upgraded to the Big, Heavily-Warded House (yes, with extra wards; yes, with a moat of polite electricity). The place now functioned as a public face: doors opened here, and if Buzz was feeling theatrical, they fed to the other address like a polite one-way glamour. The basement itself was absurdly tidy for the Buzz name: swept concrete, no humming machinery, no clandestine Tesla chorus—only a mattress on the floor and the recliner under the single bare bulb. Le Fou lay on the mattress, suit still scabby with grit but his face clean enough that the light didn’t spit on it. Buzz regarded him with that half-scientist, half-uncle expression that said both \\\"curiosity\\\" and \\\"please don’t explode my insurance premium.\\\" The goggles clicked into their final, conspiratorial position and Buzz delivere","story":"States: \n```\n{\n  \"text\": \"Buzz settled into the recliner like it was the only piece of his life that hadn’t been outsourced to chaos, chaos goggles already spinning and clicking as they hunted for alignment. This was the old Buzz Bin—his first haunt, the one they’d moved out of when Star and he upgraded to the Big, Heavily-Warded House (yes, with extra wards; yes, with a moat of polite electricity). The place now functioned as a public face: doors opened here, and if Buzz was feeling theatrical, they fed to the other address like a polite one-way glamour. The basement itself was absurdly tidy for the Buzz name: swept concrete, no humming machinery, no clandestine Tesla chorus—only a mattress on the floor and the recliner under the single bare bulb. Le Fou lay on the mattress, suit still scabby with grit but his face clean enough that the light didn’t spit on it. Buzz regarded him with that half-scientist, half-uncle expression that said both \\\"curiosity\\\" and \\\"please don’t explode my insurance premium.\\\" The goggles clicked into their final, conspiratorial position and Buzz delivere","sourceHandle":"Scott O’Bryan","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550169173491974215","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T15:38:51.711000+00:00","origins":["community"]},{"id":"submission:discord-1550169131872030741","title":"I just got access to this model and couldn't wait to try out something today.","category":"Evaluation","prompt":null,"description":"I just got access to this model and couldn't wait to try out something today.  As a personal project, I've been building an experience point rating bot for discord.  Most work off of numbers of posts or timeframes, but I've been working on my own classification model using KNN and a Hugging Face text analyzer.  I did a preliminary test in Jev with some sample data.  It didn't take me long, was able to use plain english, and it did pretty darn well out of the box.  Well done.  I'm going to experiment more, but if you want my very first attempt, here is what I put:\n\n```\n{\n  \"level_of_post\": {\n    \"type\": \"choice\",\n    \"instructions\": \"How good is this post from discord `text`\",\n    \"criteria\": {\n      \"Very Detailed\": \"The post contains a lot of description as well as some dialog. It advances the story in a significant way and includes descriptors about the environment and possibly internal dialog or debate.\",\n      \"Somewhat Detailed\": \"The post contains some description and adjectives, but largely about the subject themselves.  May have some dialog amidst the decriptions.\",\n      \"Si","story":"I just got access to this model and couldn't wait to try out something today.  As a personal project, I've been building an experience point rating bot for discord.  Most work off of numbers of posts or timeframes, but I've been working on my own classification model using KNN and a Hugging Face text analyzer.  I did a preliminary test in Jev with some sample data.  It didn't take me long, was able to use plain english, and it did pretty darn well out of the box.  Well done.  I'm going to experiment more, but if you want my very first attempt, here is what I put:\n\n```\n{\n  \"level_of_post\": {\n    \"type\": \"choice\",\n    \"instructions\": \"How good is this post from discord `text`\",\n    \"criteria\": {\n      \"Very Detailed\": \"The post contains a lot of description as well as some dialog. It advances the story in a significant way and includes descriptors about the environment and possibly internal dialog or debate.\",\n      \"Somewhat Detailed\": \"The post contains some description and adjectives, but largely about the subject themselves.  May have some dialog amidst the decriptions.\",\n      \"Si","sourceHandle":"Scott O’Bryan","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550169131872030741","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T15:38:41.788000+00:00","origins":["community"]},{"id":"submission:discord-1550169082345558228","title":"This is why I created Jod ( )","category":"Integrations","prompt":null,"description":"This is why I created Jod (https://github.com/mateonunez/jod)\n\nLinked projects:\n• mateonunez/jod — Semantic schemas over TypeSafe's Jev — validate the state locally, then project typed answers. - mateonunez/jod (github.com/mateonunez/jod)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550169082345558228","story":"This is why I created Jod (https://github.com/mateonunez/jod)\n\nLinked projects:\n• mateonunez/jod — Semantic schemas over TypeSafe's Jev — validate the state locally, then project typed answers. - mateonunez/jod (github.com/mateonunez/jod)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550169082345558228","sourceHandle":"mateonunez","sourceUrl":"https://github.com/mateonunez/jod","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T15:38:29.980000+00:00","origins":["community"]},{"id":"submission:discord-1550167730324250664","title":"I made jev and opus 5 go head to head on competitive pokemon, inspired by some pokemon runs here.","category":"Work","prompt":null,"description":"I made jev and opus 5 go head to head on competitive pokemon, inspired by some pokemon runs here. \n\n~820x cheaper, 10x faster  and it won lmfao\n\ndone through a random battle on pkmn showdown\n\nhttps://x.com/sid19arya0/status/2100458351440048258?s=20\n\nLinked projects:\n• Post by @sid19arya0 — I got Jev @typesafeai and Opus 5 to play vs each other in competitive Pokémon Jev won 🕺 Jev: $0.0029, 37s thinking Opus 5: $2.35, 6m 29s thinking ~ 820x cheaper, 10x faster Seem like high potential in finite action spac (x.com/sid19arya0/status/2100458351440048258)\n• Post by @sid19arya0 — I got Jev @typesafeai and Opus 5 to play vs each other in competitive Pokémon Jev won 🕺 Jev: $0.0029, 37s thinking Opus 5: $2.35, 6m 29s thinking ~ 820x cheaper, 10x faster Seem like high potential in finite action spac (twitter.com/sid19arya0/status/2100458351440048258)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550167730324250664","story":"I made jev and opus 5 go head to head on competitive pokemon, inspired by some pokemon runs here. \n\n~820x cheaper, 10x faster  and it won lmfao\n\ndone through a random battle on pkmn showdown\n\nhttps://x.com/sid19arya0/status/2100458351440048258?s=20\n\nLinked projects:\n• Post by @sid19arya0 — I got Jev @typesafeai and Opus 5 to play vs each other in competitive Pokémon Jev won 🕺 Jev: $0.0029, 37s thinking Opus 5: $2.35, 6m 29s thinking ~ 820x cheaper, 10x faster Seem like high potential in finite action spac (x.com/sid19arya0/status/2100458351440048258)\n• Post by @sid19arya0 — I got Jev @typesafeai and Opus 5 to play vs each other in competitive Pokémon Jev won 🕺 Jev: $0.0029, 37s thinking Opus 5: $2.35, 6m 29s thinking ~ 820x cheaper, 10x faster Seem like high potential in finite action spac (twitter.com/sid19arya0/status/2100458351440048258)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550167730324250664","sourceHandle":"Sid","sourceUrl":"https://x.com/sid19arya0/status/2100458351440048258?s=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T15:33:07.633000+00:00","origins":["community"]},{"id":"submission:discord-1550167198524510332","title":"check out Self improving rasperry pi application to detect and deter ur fav pup 🙂","category":"Integrations","prompt":null,"description":"check out https://github.com/devjerry0/watchdoggy\nSelf improving rasperry pi application to detect and deter ur fav pup 🙂\n\nLinked projects:\n• devjerry0/watchdoggy — Self improving Dog Detector for when your dog is in an area they shouldn't be in - devjerry0/watchdoggy (github.com/devjerry0/watchdoggy)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550167198524510332","story":"check out https://github.com/devjerry0/watchdoggy\nSelf improving rasperry pi application to detect and deter ur fav pup 🙂\n\nLinked projects:\n• devjerry0/watchdoggy — Self improving Dog Detector for when your dog is in an area they shouldn't be in - devjerry0/watchdoggy (github.com/devjerry0/watchdoggy)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550167198524510332","sourceHandle":"JB0x","sourceUrl":"https://github.com/devjerry0/watchdoggy","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T15:31:00.842000+00:00","origins":["community"]},{"id":"submission:discord-1550165938660319256","title":"Thanks! Jev takes a shared state plus a typed question and returns structured output instead of free-form text.","category":"Admin","prompt":null,"description":"Thanks! Jev takes a shared state plus a typed question and returns structured output instead of free-form text. For a Choice question, it looks roughly like:\n```python\n{\n  \"choice\": \"raise\",\n  \"probabilities\": {\n    \"raise\": 0.62,\n    \"crate\": 0.21,\n    \"stare\": 0.17,\n    ...\n  },\n  \"confidence\": 0.31\n}\n```\nFor N-dle, it first computes the possible moves and how informative each one would be. Jev then chooses one shared guess, which is applied to every unsolved board. The feedback updates each board's remaining possible answers, and the loop repeats. Once every board is narrowed to a single answer, there is no decision left for Jev to make, so it submits the remaining answers without additional model calls","story":"Thanks! Jev takes a shared state plus a typed question and returns structured output instead of free-form text. For a Choice question, it looks roughly like:\n```python\n{\n  \"choice\": \"raise\",\n  \"probabilities\": {\n    \"raise\": 0.62,\n    \"crate\": 0.21,\n    \"stare\": 0.17,\n    ...\n  },\n  \"confidence\": 0.31\n}\n```\nFor N-dle, it first computes the possible moves and how informative each one would be. Jev then chooses one shared guess, which is applied to every unsolved board. The feedback updates each board's remaining possible answers, and the loop repeats. Once every board is narrowed to a single answer, there is no decision left for Jev to make, so it submits the remaining answers without additional model calls","sourceHandle":"Richard Suwandi","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550165938660319256","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T15:26:00.467000+00:00","origins":["community"]},{"id":"submission:discord-1550163409058668676","title":"this repo is extremely good","category":"Integrations","prompt":null,"description":"this repo is extremely good https://github.com/browser-use/jev-ultrafast\n\nLinked projects:\n• browser-use/jev-ultrafast — i. am. speed. Contribute to browser-use/jev-ultrafast development by creating an account on GitHub. (github.com/browser-use/jev-ultrafast)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550163409058668676","story":"this repo is extremely good https://github.com/browser-use/jev-ultrafast\n\nLinked projects:\n• browser-use/jev-ultrafast — i. am. speed. Contribute to browser-use/jev-ultrafast development by creating an account on GitHub. (github.com/browser-use/jev-ultrafast)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550163409058668676","sourceHandle":"Omar","sourceUrl":"https://github.com/browser-use/jev-ultrafast","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T15:15:57.363000+00:00","origins":["community"]},{"id":"submission:discord-1550162842483818630","title":"Just a funny test XD This model is not made for this BUT it was able to see the rocket XD Not the human though.","category":"Fun","prompt":null,"description":"Just a funny test XD This model is not made for this BUT it was able to see the rocket XD Not the human though. In ASCII art.\n\nLinked projects:\n• image.png — image/png · 164 KB (cdn.discordapp.com/attachments/1483217545040232493/1550162842194542692)","story":"Just a funny test XD This model is not made for this BUT it was able to see the rocket XD Not the human though. In ASCII art.\n\nLinked projects:\n• image.png — image/png · 164 KB (cdn.discordapp.com/attachments/1483217545040232493/1550162842194542692)","sourceHandle":"Waldemar =)","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550162842483818630","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T15:13:42.281000+00:00","origins":["community"]},{"id":"submission:discord-1550162828164472863","title":"I asked Jev to play N Wordle boards at once!","category":"Home","prompt":null,"description":"I asked Jev to play N Wordle boards at once!\n\nEach board hides a different word, but every guess applies to all unsolved boards simultaneously. Every move has to balance solving one board with revealing useful information across the others.\n\nJev only needed 7 model calls across the entire game. Its shared guesses progressively narrowed the candidate set for every board until each remaining board had only one possible answer. From there, no more model calls were needed and Jev simply submitted the known answers.\n\nIt cleared all 32 boards in 35 guesses and 5.4 seconds. The estimated API cost for the whole run was just $0.00068!\n\nI think Jev is really powerful for this kind of real-time decision loop. It is fast, extremely cheap, and can make one structured decision that advances many changing states at once.\n\nExcited to see what else can be built with these new models!\n\nhttps://x.com/richardcsuwandi/status/2100603807894053252?s=20\n\nLinked projects:\n• Post by @richardcsuwandi — I asked @typesafeai's new model Jev to play N Wordle boards at once! Each board hides a different word, but every guess applies to all unsolved boards simultaneously. Every move has to balance solving one board with reve (x.com/richardcsuwandi/status/2100603807894053252)\n• Post by @richardcsuwandi — I asked @typesafeai's new model Jev to play N Wordle boards at once! Each board hides a different word, but every guess applies to all unsolved boards simultaneously. Every move has to balance solving one board with reve (twitter.com/richardcsuwandi/status/2100603807894053252)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550162828164472863","story":"I asked Jev to play N Wordle boards at once!\n\nEach board hides a different word, but every guess applies to all unsolved boards simultaneously. Every move has to balance solving one board with revealing useful information across the others.\n\nJev only needed 7 model calls across the entire game. Its shared guesses progressively narrowed the candidate set for every board until each remaining board had only one possible answer. From there, no more model calls were needed and Jev simply submitted the known answers.\n\nIt cleared all 32 boards in 35 guesses and 5.4 seconds. The estimated API cost for the whole run was just $0.00068!\n\nI think Jev is really powerful for this kind of real-time decision loop. It is fast, extremely cheap, and can make one structured decision that advances many changing states at once.\n\nExcited to see what else can be built with these new models!\n\nhttps://x.com/richardcsuwandi/status/2100603807894053252?s=20\n\nLinked projects:\n• Post by @richardcsuwandi — I asked @typesafeai's new model Jev to play N Wordle boards at once! Each board hides a different word, but every guess applies to all unsolved boards simultaneously. Every move has to balance solving one board with reve (x.com/richardcsuwandi/status/2100603807894053252)\n• Post by @richardcsuwandi — I asked @typesafeai's new model Jev to play N Wordle boards at once! Each board hides a different word, but every guess applies to all unsolved boards simultaneously. Every move has to balance solving one board with reve (twitter.com/richardcsuwandi/status/2100603807894053252)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550162828164472863","sourceHandle":"Richard Suwandi","sourceUrl":"https://x.com/richardcsuwandi/status/2100603807894053252?s=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T15:13:38.867000+00:00","origins":["community"]},{"id":"submission:discord-1550161521772994633","title":"I have an agent in production using Luna.","category":"Work","prompt":null,"description":"I have an agent in production using Luna. My first run was just switching Luna to jev and comparing each against our golden dataset. In my second run I made changes to the harness and prompt to accommodate for the fact that jev does better when you give it more precise instructions and ran again against the Luna that is in production and comparing each with the golden dataset","story":"I have an agent in production using Luna. My first run was just switching Luna to jev and comparing each against our golden dataset. In my second run I made changes to the harness and prompt to accommodate for the fact that jev does better when you give it more precise instructions and ran again against the Luna that is in production and comparing each with the golden dataset","sourceHandle":"Martucci","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550161521772994633","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T15:08:27.399000+00:00","origins":["community"]},{"id":"submission:discord-1550160512392765460","title":"Building Sparq Studio — a multi-agent AI platform, not a single-purpose tool.","category":"Home","prompt":null,"description":"Building Sparq Studio — a multi-agent AI platform, not a single-purpose tool.\nIt's a normal chat where you can talk to individual models directly (Claude,\nGPT, Grok, Gemini, Qwen, DeepSeek, more being added), a \"Boardroom\" mode where\nSparq itself — a separate synthesis layer — consults its own internal panel of\ntuned agents and merges their takes into one voice, and a build layer on top\n(CRM, booking tools, landing pages, pitch decks, chatbots with their own\nmemory), all sharing the same context/memory about the user.\n\nTwo different multi-agent layers running under one roof, each doing a bunch of\nsmall structured decisions on every message — which single agent should\nanswer when addressed directly, which internal panel members Sparq's synthesis\nshould consult, is this worth remembering, is an old conversation relevant to\nthe new one, which build template fits the request. All of that currently\ngoes through full LLM calls. That's\n\nLinked projects:\n• Skjermbilde_2026-09-17_165134.png — image/png · 141 KB (cdn.discordapp.com/attachments/1483217545040232493/1550160509872115742)\n• Skjermbilde_2026-09-17_165111.png — image/png · 140 KB (cdn.discordapp.com/attachments/1483217545040232493/1550160510262050926)\n• Skjermbilde_2026-09-17_165100.png — image/png · 283 KB (cdn.discordapp.com/attachments/1483217545040232493/1550160510681358486)","story":"Building Sparq Studio — a multi-agent AI platform, not a single-purpose tool.\nIt's a normal chat where you can talk to individual models directly (Claude,\nGPT, Grok, Gemini, Qwen, DeepSeek, more being added), a \"Boardroom\" mode where\nSparq itself — a separate synthesis layer — consults its own internal panel of\ntuned agents and merges their takes into one voice, and a build layer on top\n(CRM, booking tools, landing pages, pitch decks, chatbots with their own\nmemory), all sharing the same context/memory about the user.\n\nTwo different multi-agent layers running under one roof, each doing a bunch of\nsmall structured decisions on every message — which single agent should\nanswer when addressed directly, which internal panel members Sparq's synthesis\nshould consult, is this worth remembering, is an old conversation relevant to\nthe new one, which build template fits the request. All of that currently\ngoes through full LLM calls. That's\n\nLinked projects:\n• Skjermbilde_2026-09-17_165134.png — image/png · 141 KB (cdn.discordapp.com/attachments/1483217545040232493/1550160509872115742)\n• Skjermbilde_2026-09-17_165111.png — image/png · 140 KB (cdn.discordapp.com/attachments/1483217545040232493/1550160510262050926)\n• Skjermbilde_2026-09-17_165100.png — image/png · 283 KB (cdn.discordapp.com/attachments/1483217545040232493/1550160510681358486)","sourceHandle":"BFG | gero9mo","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550160512392765460","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T15:04:26.744000+00:00","origins":["community"]},{"id":"submission:discord-1550160449666949205","title":"Good idea. Maybe instead of having skills to explain the coding style in advance in detail, I just","category":"Work","prompt":null,"description":"Good idea. Maybe instead of having skills to explain the coding style in advance in detail, I just run my codebase through Jev when I commit, and then it will automatically instert an error message that it doesn't fit the coding style yet. Same for commit messages. Probably useful for more such things.","story":"Good idea. Maybe instead of having skills to explain the coding style in advance in detail, I just run my codebase through Jev when I commit, and then it will automatically instert an error message that it doesn't fit the coding style yet. Same for commit messages. Probably useful for more such things.","sourceHandle":"p 🦊","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550160449666949205","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T15:04:11.789000+00:00","origins":["community"]},{"id":"submission:discord-1550160257152589828","title":"Shared by Joseph: mslearn ai studio data travel finetune hotel jsonl","category":"Travel","prompt":null,"description":"https://microsoftlearning.github.io/mslearn-ai-studio/data/travel-finetune-hotel.jsonl\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550160257152589828","story":"https://microsoftlearning.github.io/mslearn-ai-studio/data/travel-finetune-hotel.jsonl\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550160257152589828","sourceHandle":"Joseph","sourceUrl":"https://microsoftlearning.github.io/mslearn-ai-studio/data/travel-finetune-hotel.jsonl","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T15:03:25.890000+00:00","origins":["community"]},{"id":"submission:discord-1550159097897287870","title":"If you are into go.","category":"Integrations","prompt":null,"description":"If you are into go. Made a go client. Feature parity with the official Python and TypeScript SDKs\n\nhttps://pkg.go.dev/github.com/fgn/jevgo\n\nhttps://github.com/fgn/jevgo\n\nLinked projects:\n• jev package - github.com/fgn/jevgo - Go Packages — Package jev is a Go client for the TypeSafe AI System One API and its flagship model, Jev: send a state and typed questions, get typed answers with probabilities. (pkg.go.dev/github.com/fgn/jevgo)\n• fgn/jevgo — Go client for TypeSafe AI's System One API (Jev), with optional Langfuse instrumentation - fgn/jevgo (github.com/fgn/jevgo)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550159097897287870","story":"If you are into go. Made a go client. Feature parity with the official Python and TypeScript SDKs\n\nhttps://pkg.go.dev/github.com/fgn/jevgo\n\nhttps://github.com/fgn/jevgo\n\nLinked projects:\n• jev package - github.com/fgn/jevgo - Go Packages — Package jev is a Go client for the TypeSafe AI System One API and its flagship model, Jev: send a state and typed questions, get typed answers with probabilities. (pkg.go.dev/github.com/fgn/jevgo)\n• fgn/jevgo — Go client for TypeSafe AI's System One API (Jev), with optional Langfuse instrumentation - fgn/jevgo (github.com/fgn/jevgo)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550159097897287870","sourceHandle":"fgn","sourceUrl":"https://github.com/fgn/jevgo","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T14:58:49.502000+00:00","origins":["community"]},{"id":"submission:discord-1550158096851275936","title":"I think this model could be amazing for moderation porpouses","category":"Work","prompt":null,"description":"I think this model could be amazing for moderation porpouses https://x.com/oxfrancesco_/status/2100595042385584622\n\nLinked projects:\n• Post by @oxfrancesco_ — It's moderation solved? Probably yes! The scammy like messages get a 🔥 Want to join the group and try it yourself? DM Me! (x.com/oxfrancesco_/status/2100595042385584622)\n• Post by @oxfrancesco_ — It's moderation solved? Probably yes! The scammy like messages get a 🔥 Want to join the group and try it yourself? DM Me! (twitter.com/oxfrancesco_/status/2100595042385584622)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550158096851275936","story":"I think this model could be amazing for moderation porpouses https://x.com/oxfrancesco_/status/2100595042385584622\n\nLinked projects:\n• Post by @oxfrancesco_ — It's moderation solved? Probably yes! The scammy like messages get a 🔥 Want to join the group and try it yourself? DM Me! (x.com/oxfrancesco_/status/2100595042385584622)\n• Post by @oxfrancesco_ — It's moderation solved? Probably yes! The scammy like messages get a 🔥 Want to join the group and try it yourself? DM Me! (twitter.com/oxfrancesco_/status/2100595042385584622)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550158096851275936","sourceHandle":"Francesco Oddo (OxFrancesco)","sourceUrl":"https://x.com/oxfrancesco_/status/2100595042385584622","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T14:54:50.834000+00:00","origins":["community"]},{"id":"submission:discord-1550157820794769408","title":"I created a little open source tool for developers: Jevlint 1) Basically, define \"semantic\" rules for your codebase 2)","category":"Work","prompt":null,"description":"I created a little open source tool for developers: Jevlint\nhttps://www.jevlint.com/\n\n1) Basically, define  \"semantic\" rules for your codebase\n2) Check them deterministically with jevlint\n3) Add it to your agent loop\n4) Skip the \"Oh you are TOTALLY correct, I shouldn't have named things like this or put them in this folder\"\n\nLinked projects:\n• JevLint — Slop happens. Don’t ship it. — Coding conventions in plain English. Your agent codes. JevLint checks what syntax rules miss. (jevlint.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550157820794769408","story":"I created a little open source tool for developers: Jevlint\nhttps://www.jevlint.com/\n\n1) Basically, define  \"semantic\" rules for your codebase\n2) Check them deterministically with jevlint\n3) Add it to your agent loop\n4) Skip the \"Oh you are TOTALLY correct, I shouldn't have named things like this or put them in this folder\"\n\nLinked projects:\n• JevLint — Slop happens. Don’t ship it. — Coding conventions in plain English. Your agent codes. JevLint checks what syntax rules miss. (jevlint.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550157820794769408","sourceHandle":"Thomas","sourceUrl":"https://www.jevlint.com/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T14:53:45.017000+00:00","origins":["community"]},{"id":"submission:discord-1550157755799834784","title":"can you check it out i used deepseek 4.1 flash max","category":"Work","prompt":null,"description":"can you check it out i used deepseek 4.1 flash max https://01a0afc4-e287-7ea1-9e03-137fec574eea.arena.site/\n\nLinked projects:\n• Neon District: Street Run — Check out what I built in Arena (01a0afc4-e287-7ea1-9e03-137fec574eea.arena.site)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550157755799834784","story":"can you check it out i used deepseek 4.1 flash max https://01a0afc4-e287-7ea1-9e03-137fec574eea.arena.site/\n\nLinked projects:\n• Neon District: Street Run — Check out what I built in Arena (01a0afc4-e287-7ea1-9e03-137fec574eea.arena.site)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550157755799834784","sourceHandle":"north delta","sourceUrl":"https://01a0afc4-e287-7ea1-9e03-137fec574eea.arena.site/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T14:53:29.521000+00:00","origins":["community"]},{"id":"submission:discord-1550156609710194729","title":"I hope to get access to jev soon..","category":"Work","prompt":null,"description":"I hope to get access to jev soon.. so far I created: https://www.quizletgravity.com/ and https://marko-sarafijanovic.com/ and https://marko-sarafijanovic.com/Why-allow-Tesla-FSD-Supervised\n\nLinked projects:\n• Quizlet – Gravity Mode — Defend your planet from falling asteroids by typing the correct answers. Paste a term list or upload a CSV to play. (quizletgravity.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550156609710194729","story":"I hope to get access to jev soon.. so far I created: https://www.quizletgravity.com/ and https://marko-sarafijanovic.com/ and https://marko-sarafijanovic.com/Why-allow-Tesla-FSD-Supervised\n\nLinked projects:\n• Quizlet – Gravity Mode — Defend your planet from falling asteroids by typing the correct answers. Paste a term list or upload a CSV to play. (quizletgravity.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550156609710194729","sourceHandle":"Marko-Sarafijanovic","sourceUrl":"https://www.quizletgravity.com/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T14:48:56.272000+00:00","origins":["community"]},{"id":"submission:discord-1550155889053409410","title":"using Jev to play a catan-clone against itself, just to see how the API and low latency works, pretty fun.","category":"Integrations","prompt":null,"description":"using Jev to play a catan-clone against itself, just to see how the API and low latency works, pretty fun. Kinda wanna hook it into Rimworld or Dwarf Fortress.\n\nLinked projects:\n• image.png — image/png · 496 KB (cdn.discordapp.com/attachments/1483217545040232493/1550155887551709344)","story":"using Jev to play a catan-clone against itself, just to see how the API and low latency works, pretty fun. Kinda wanna hook it into Rimworld or Dwarf Fortress.\n\nLinked projects:\n• image.png — image/png · 496 KB (cdn.discordapp.com/attachments/1483217545040232493/1550155887551709344)","sourceHandle":"gradius","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550155889053409410","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T14:46:04.454000+00:00","origins":["community"]},{"id":"submission:discord-1550155117649596528","title":"Tested on one of our ugc classification agents.","category":"Evaluation","prompt":null,"description":"Tested on one of our ugc classification agents. 1st run showed the potential but also showed all the ways we were ambiguous in our prompt and just trusting llm decision making, after one iteration of the prompt the eval beat Luna by quite some margin\n\nLinked projects:\n• 9055AE59-3D4C-4589-89D8-C5DF9D1FE085.png — image/png · 892 KB (cdn.discordapp.com/attachments/1483217545040232493/1550155116953477263)\n• 9FB2EF1E-B9FB-4BB1-8D31-BF5EF51161C1.png — image/png · 410 KB (cdn.discordapp.com/attachments/1483217545040232493/1550155117335019592)","story":"Tested on one of our ugc classification agents. 1st run showed the potential but also showed all the ways we were ambiguous in our prompt and just trusting llm decision making, after one iteration of the prompt the eval beat Luna by quite some margin\n\nLinked projects:\n• 9055AE59-3D4C-4589-89D8-C5DF9D1FE085.png — image/png · 892 KB (cdn.discordapp.com/attachments/1483217545040232493/1550155116953477263)\n• 9FB2EF1E-B9FB-4BB1-8D31-BF5EF51161C1.png — image/png · 410 KB (cdn.discordapp.com/attachments/1483217545040232493/1550155117335019592)","sourceHandle":"Martucci","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550155117649596528","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T14:43:00.537000+00:00","origins":["community"]},{"id":"submission:discord-1550153715657474089","title":"Tested Jev with main \"Players\" (GPT/Claude) to work together.","category":"Evaluation","prompt":null,"description":"Tested Jev with main \"Players\" (GPT/Claude) to work together.\nThe idea was to \"cut\" the part of the job from generative agents.\nSpeed is awesome (cost too), and some results are quite promising: https://github.com/dnikolayev/typesafe-offload-bench\nResults/Details: https://github.com/dnikolayev/typesafe-offload-bench/blob/main/RESULTS.md\n\nLinked projects:\n• dnikolayev/typesafe-offload-bench — Synthetic TypeSafe offload benchmark: quality, tokens, latency, dated evidence, and a portable Codex skill. - dnikolayev/typesafe-offload-bench (github.com/dnikolayev/typesafe-offload-bench)\n• dnikolayev/typesafe-offload-bench — Synthetic TypeSafe offload benchmark: quality, tokens, latency, dated evidence, and a portable Codex skill. - dnikolayev/typesafe-offload-bench (github.com/dnikolayev/typesafe-offload-bench/blob/main/RESULTS.md)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550153715657474089","story":"Tested Jev with main \"Players\" (GPT/Claude) to work together.\nThe idea was to \"cut\" the part of the job from generative agents.\nSpeed is awesome (cost too), and some results are quite promising: https://github.com/dnikolayev/typesafe-offload-bench\nResults/Details: https://github.com/dnikolayev/typesafe-offload-bench/blob/main/RESULTS.md\n\nLinked projects:\n• dnikolayev/typesafe-offload-bench — Synthetic TypeSafe offload benchmark: quality, tokens, latency, dated evidence, and a portable Codex skill. - dnikolayev/typesafe-offload-bench (github.com/dnikolayev/typesafe-offload-bench)\n• dnikolayev/typesafe-offload-bench — Synthetic TypeSafe offload benchmark: quality, tokens, latency, dated evidence, and a portable Codex skill. - dnikolayev/typesafe-offload-bench (github.com/dnikolayev/typesafe-offload-bench/blob/main/RESULTS.md)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550153715657474089","sourceHandle":"Dmytro","sourceUrl":"https://github.com/dnikolayev/typesafe-offload-bench","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T14:37:26.276000+00:00","origins":["community"]},{"id":"submission:discord-1550153482277883981","title":"I got jev to play cube field (third game has some really narrow escapes) lol probably a lot of ways this can be","category":"Fun","prompt":null,"description":"I got jev to play cube field (third game has some really narrow escapes) lol probably a lot of ways this can be improved but pretty neat\n\nLinked projects:\n• demo-quality.mp4 — video/mp4 · 7 MB (cdn.discordapp.com/attachments/1483217545040232493/1550153481929625660)","story":"I got jev to play cube field (third game has some really narrow escapes) lol probably a lot of ways this can be improved but pretty neat\n\nLinked projects:\n• demo-quality.mp4 — video/mp4 · 7 MB (cdn.discordapp.com/attachments/1483217545040232493/1550153481929625660)","sourceHandle":"John","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550153482277883981","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T14:36:30.634000+00:00","origins":["community"]},{"id":"submission:discord-1550152191040421928","title":"Full .NET SDK. Includes strongly typed input/output builders and out of the box support for `Microsoft.Extensions.AI`","category":"Evaluation","prompt":null,"description":"https://github.com/Hawxy/TypeSafeAI.Net\n\nFull .NET SDK. Includes strongly typed input/output builders and out of the box support for `Microsoft.Extensions.AI` with guardrail, routing and evaluation patterns included.\n\nLinked projects:\n• Hawxy/TypeSafeAI.Net — .NET SDK for the TypeSafe AI platform. Contribute to Hawxy/TypeSafeAI.Net development by creating an account on GitHub. (github.com/Hawxy/TypeSafeAI.Net)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550152191040421928","story":"https://github.com/Hawxy/TypeSafeAI.Net\n\nFull .NET SDK. Includes strongly typed input/output builders and out of the box support for `Microsoft.Extensions.AI` with guardrail, routing and evaluation patterns included.\n\nLinked projects:\n• Hawxy/TypeSafeAI.Net — .NET SDK for the TypeSafe AI platform. Contribute to Hawxy/TypeSafeAI.Net development by creating an account on GitHub. (github.com/Hawxy/TypeSafeAI.Net)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550152191040421928","sourceHandle":"Hawx","sourceUrl":"https://github.com/Hawxy/TypeSafeAI.Net","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T14:31:22.779000+00:00","origins":["community"]},{"id":"submission:discord-1550151463454646402","title":"Building ai.worlddominationai.ai.","category":"Admin","prompt":null,"description":"Building ai.worlddominationai.ai. \n- a platform where you can type in how you want to take over the world \n- not only get a plan for how to do it. The app actually helps you do it as well. \n\nI think Jev will be great help in this. \n\n+1 if you'd use ai.worlddominationai.ai\n\nLinked projects:\n• content.png — image/png · 2 MB (cdn.discordapp.com/attachments/1483217545040232493/1550151463093932223)","story":"Building ai.worlddominationai.ai. \n- a platform where you can type in how you want to take over the world \n- not only get a plan for how to do it. The app actually helps you do it as well. \n\nI think Jev will be great help in this. \n\n+1 if you'd use ai.worlddominationai.ai\n\nLinked projects:\n• content.png — image/png · 2 MB (cdn.discordapp.com/attachments/1483217545040232493/1550151463093932223)","sourceHandle":"timpa","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550151463454646402","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T14:28:29.309000+00:00","origins":["community"]},{"id":"submission:discord-1550151113406419005","title":"So far pretty solid - obviously phrasing and depth of the criterium impacts outputs substantially, but early results","category":"Work","prompt":null,"description":"So far pretty solid - obviously phrasing and depth of the criterium impacts outputs substantially, but early results are pretty promising. \n\nWe are looking for a solution to help make our SOC members lives easier and more streaminlined, so if we can tune this appropriately and integrate into the workflow, having automated response could be cool.","story":"So far pretty solid - obviously phrasing and depth of the criterium impacts outputs substantially, but early results are pretty promising. \n\nWe are looking for a solution to help make our SOC members lives easier and more streaminlined, so if we can tune this appropriately and integrate into the workflow, having automated response could be cool.","sourceHandle":"Space Snek","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550151113406419005","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T14:27:05.851000+00:00","origins":["community"]},{"id":"submission:discord-1550147934165798944","title":"An llm breaks up and classifies my writing/sources so it can be compared against the rubric and learning objectives","category":"Home","prompt":null,"description":"An llm breaks up and classifies my writing/sources so it can be compared against the rubric and learning objectives for that assignment (testing on already submitted examples). Ranks total confidence that different rubric sections are fulfilled. \n\nMixed results on identifying the specific sections that are lacking though; will need to vibeslop further tomorrow.","story":"An llm breaks up and classifies my writing/sources so it can be compared against the rubric and learning objectives for that assignment (testing on already submitted examples). Ranks total confidence that different rubric sections are fulfilled. \n\nMixed results on identifying the specific sections that are lacking though; will need to vibeslop further tomorrow.","sourceHandle":"raccoon","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550147934165798944","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T14:14:27.861000+00:00","origins":["community"]},{"id":"submission:discord-1550145244870352926","title":"Hi everyone, I’m Ashish, the maker of Shelvr.","category":"Productivity","prompt":null,"description":"Hi everyone, I’m Ashish, the maker of Shelvr. It’s an iPhone app that brings saved links, screenshots, and notes into one searchable library and organizes them into Spaces.\n\nI’m building with React Native + Expo and Convex, and using PostHog for product analytics. My focus is understanding whether people get from onboarding to their first useful save, then come back to find it.\n\nShelvr Pro is required for new saves. The monthly plan bills immediately; the annual plan includes a 7-day free trial, then renews annually unless cancelled. Prices and terms are shown before purchase; existing saves remain readable after Pro expires.\nhttps://apps.apple.com/app/id6798143550\n\nGlad to meet other people building and improving their products here!\n\nLinked projects:\n• Shelvr: Save & Organize Later App - App Store — Download Shelvr: Save & Organize Later by Ashish Huddar on the App Store. See screenshots, ratings and reviews, user tips, and more apps like Shelvr: Save &… (apps.apple.com/app/id6798143550)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550145244870352926","story":"Hi everyone, I’m Ashish, the maker of Shelvr. It’s an iPhone app that brings saved links, screenshots, and notes into one searchable library and organizes them into Spaces.\n\nI’m building with React Native + Expo and Convex, and using PostHog for product analytics. My focus is understanding whether people get from onboarding to their first useful save, then come back to find it.\n\nShelvr Pro is required for new saves. The monthly plan bills immediately; the annual plan includes a 7-day free trial, then renews annually unless cancelled. Prices and terms are shown before purchase; existing saves remain readable after Pro expires.\nhttps://apps.apple.com/app/id6798143550\n\nGlad to meet other people building and improving their products here!\n\nLinked projects:\n• Shelvr: Save & Organize Later App - App Store — Download Shelvr: Save & Organize Later by Ashish Huddar on the App Store. See screenshots, ratings and reviews, user tips, and more apps like Shelvr: Save &… (apps.apple.com/app/id6798143550)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550145244870352926","sourceHandle":"Ashish","sourceUrl":"https://apps.apple.com/app/id6798143550","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T14:03:46.683000+00:00","origins":["community"]},{"id":"submission:discord-1550144304792739871","title":"you seem to have pretty loaded criteria though vs ```json { \"state\": { \"weather\": \"heavy rain\",","category":"Work","prompt":null,"description":"you seem to have pretty loaded criteria though\n\nvs\n\n```json\n{\n  \"state\": {\n    \"weather\": \"heavy rain\",\n    \"indoor_cost_per_session\": 7,\n    \"outdoor_cost_per_session\": 0,\n    \"expected_rain_damage_cost_per_outdoor_session\": 2\n  },\n  \"question\": {\n    \"type\": \"choice\",\n    \"instructions\": \"Which option has the lower expected monetary cost for this session?\",\n    \"criteria\": {\n      \"indoors\": \"Skate indoors\",\n      \"outdoors\": \"Skate outdoors\"\n    }\n  }\n}\n```","story":"you seem to have pretty loaded criteria though\n\nvs\n\n```json\n{\n  \"state\": {\n    \"weather\": \"heavy rain\",\n    \"indoor_cost_per_session\": 7,\n    \"outdoor_cost_per_session\": 0,\n    \"expected_rain_damage_cost_per_outdoor_session\": 2\n  },\n  \"question\": {\n    \"type\": \"choice\",\n    \"instructions\": \"Which option has the lower expected monetary cost for this session?\",\n    \"criteria\": {\n      \"indoors\": \"Skate indoors\",\n      \"outdoors\": \"Skate outdoors\"\n    }\n  }\n}\n```","sourceHandle":"lil nug","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550144304792739871","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T14:00:02.551000+00:00","origins":["community"]},{"id":"submission:discord-1550143423468670987","title":"was anyone thinking about using TypeSafe as a tool caller/selector instead of usual tool call mechanism?","category":"Travel","prompt":null,"description":"was anyone thinking about using TypeSafe as a tool caller/selector instead of usual tool call mechanism? It can significaly reduce the round trips, for example!\nSuper cool would be to have a capability in https://github.com/pydantic/pydantic-ai-harness/tree/main/pydantic_ai_harness (for example). This could change the whole way we all work with AI tool calls processing! \n\nWhat do u guys think?\n\nLinked projects:\n• pydantic/pydantic-ai-harness — Your agent's favorite harness, built on Pydantic AI - pydantic/pydantic-ai-harness (github.com/pydantic/pydantic-ai-harness/tree/main/pydantic_ai_harness)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550143423468670987","story":"was anyone thinking about using TypeSafe as a tool caller/selector instead of usual tool call mechanism? It can significaly reduce the round trips, for example!\nSuper cool would be to have a capability in https://github.com/pydantic/pydantic-ai-harness/tree/main/pydantic_ai_harness (for example). This could change the whole way we all work with AI tool calls processing! \n\nWhat do u guys think?\n\nLinked projects:\n• pydantic/pydantic-ai-harness — Your agent's favorite harness, built on Pydantic AI - pydantic/pydantic-ai-harness (github.com/pydantic/pydantic-ai-harness/tree/main/pydantic_ai_harness)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550143423468670987","sourceHandle":"solovieff","sourceUrl":"https://github.com/pydantic/pydantic-ai-harness/tree/main/pydantic_ai_harness","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T13:56:32.427000+00:00","origins":["community"]},{"id":"submission:discord-1550141550200234134","title":"Phrasing of intent seems to make a big difference.","category":"Money","prompt":null,"description":"https://console.typesafe.ai/playground?share=shr_123d2f855e843ed4d379bcbce56975845a8\n\nPhrasing of intent seems to make a big difference.\n\nI'm getting opposite answers if I ask it\n\"Should I go skateboarding indoors or outdoors if I want to save money?\"\nvs \n\"Should I go skateboarding indoors or outdoors if I want to save money long term?\"\n\n**State**\n```\n{\n  \"weather_forecast\": \"heavy rain in the evening\",\n  \"indoor_skatepark_cost\": \"$7\",\n  \"outdoor_skatepark_cost\": \"$0\",\n  \"skateboard\": {\n    \"board\": \"$95\",\n    \"bearings\": \"$30\",\n    \"wheels\": \"$75\",\n    \"trucks\": \"$90\",\n    \"hardware\": \"$6\",\n    \"griptape\": \"$0\"\n  },\n  \"fact\": \"rain is bad for the skateboard\"\n}\n```\n**Question**\n```\n{\n  \"skateboarding\": {\n    \"type\": \"choice\",\n    \"instructions\": \"Should I go skateboarding indoors or outdoors if I want to save money long term?\",\n    \"criteria\": {\n      \"outdoors\": \"Go outdoor and face the weather\",\n      \"indoors\": \"Pay the indoor\n\nLinked projects:\n• TypeSafe (console.typesafe.ai/playground)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550141550200234134","story":"https://console.typesafe.ai/playground?share=shr_123d2f855e843ed4d379bcbce56975845a8\n\nPhrasing of intent seems to make a big difference.\n\nI'm getting opposite answers if I ask it\n\"Should I go skateboarding indoors or outdoors if I want to save money?\"\nvs \n\"Should I go skateboarding indoors or outdoors if I want to save money long term?\"\n\n**State**\n```\n{\n  \"weather_forecast\": \"heavy rain in the evening\",\n  \"indoor_skatepark_cost\": \"$7\",\n  \"outdoor_skatepark_cost\": \"$0\",\n  \"skateboard\": {\n    \"board\": \"$95\",\n    \"bearings\": \"$30\",\n    \"wheels\": \"$75\",\n    \"trucks\": \"$90\",\n    \"hardware\": \"$6\",\n    \"griptape\": \"$0\"\n  },\n  \"fact\": \"rain is bad for the skateboard\"\n}\n```\n**Question**\n```\n{\n  \"skateboarding\": {\n    \"type\": \"choice\",\n    \"instructions\": \"Should I go skateboarding indoors or outdoors if I want to save money long term?\",\n    \"criteria\": {\n      \"outdoors\": \"Go outdoor and face the weather\",\n      \"indoors\": \"Pay the indoor\n\nLinked projects:\n• TypeSafe (console.typesafe.ai/playground)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550141550200234134","sourceHandle":"Eddy Vinck","sourceUrl":"https://console.typesafe.ai/playground?share=shr_123d2f855e843ed4d379bcbce56975845a8","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T13:49:05.805000+00:00","origins":["community"]},{"id":"submission:discord-1550140907997757601","title":"Just whipped up a an example of Jev playing the llmgame from With just a few basic options/choices, got it to be about","category":"Fun","prompt":null,"description":"Just whipped up a an example of Jev playing the llmgame from https://llmgame.scalex.dev/ \nWith just a few basic options/choices, got it to be about 85% accurate. Sure I could get it to 100%, but didn't want to overfit. Really cool stuff!\n\nLinked projects:\n• Continue? Y/N — A 60-second game about LLM permission fatigue. How carefully do you really read AI commands? (llmgame.scalex.dev)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550140907997757601","story":"Just whipped up a an example of Jev playing the llmgame from https://llmgame.scalex.dev/ \nWith just a few basic options/choices, got it to be about 85% accurate. Sure I could get it to 100%, but didn't want to overfit. Really cool stuff!\n\nLinked projects:\n• Continue? Y/N — A 60-second game about LLM permission fatigue. How carefully do you really read AI commands? (llmgame.scalex.dev)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550140907997757601","sourceHandle":"A-A-RON","sourceUrl":"https://llmgame.scalex.dev/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T13:46:32.692000+00:00","origins":["community"]},{"id":"submission:discord-1550137786042949632","title":"I just passed waitlist today, and tried shameless vibe-code-drop-in-replacement to my company's current AI workflow.","category":"Home","prompt":null,"description":"I just passed waitlist today, and tried shameless vibe-code-drop-in-replacement to my company's current AI workflow.\nAll I did was giving official Agent Skill to my coding agent, and order it to adapt current benchmark script to Jev.\nThen... Boom! It just works!\n\nThis benchmark tasks are categorizing 111 arbitrary user inputs to two types of categories.\nFirst task is 1 of 39, second one 1 of 62. \nBoth are nullable (should be labeled 'none' if doesn't fit to any category)\nUser inputs include unofficial terms, slangs, STT(=typo!) so we give keywords and their frequent aliases in the prompt.\n\nInteresting points:\n* My company is based in South Korea. So this benchmarks test *Korean* user inputs. Jev just... works with it, even prompt was fully in English (written by LLM).\n* Prompting in Korean also work, but it doesn't seem to improve performance, at this stage.\n* Current workflow calls LLM twice in parallel, but coding agent called Jev\n\nLinked projects:\n• image.png — image/png · 64 KB (cdn.discordapp.com/attachments/1483217545040232493/1550137785795616888)","story":"I just passed waitlist today, and tried shameless vibe-code-drop-in-replacement to my company's current AI workflow.\nAll I did was giving official Agent Skill to my coding agent, and order it to adapt current benchmark script to Jev.\nThen... Boom! It just works!\n\nThis benchmark tasks are categorizing 111 arbitrary user inputs to two types of categories.\nFirst task is 1 of 39, second one 1 of 62. \nBoth are nullable (should be labeled 'none' if doesn't fit to any category)\nUser inputs include unofficial terms, slangs, STT(=typo!) so we give keywords and their frequent aliases in the prompt.\n\nInteresting points:\n* My company is based in South Korea. So this benchmarks test *Korean* user inputs. Jev just... works with it, even prompt was fully in English (written by LLM).\n* Prompting in Korean also work, but it doesn't seem to improve performance, at this stage.\n* Current workflow calls LLM twice in parallel, but coding agent called Jev\n\nLinked projects:\n• image.png — image/png · 64 KB (cdn.discordapp.com/attachments/1483217545040232493/1550137785795616888)","sourceHandle":"Calvin","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550137786042949632","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T13:34:08.360000+00:00","origins":["community"]},{"id":"submission:discord-1550136734950621209","title":"Jev driving simulator.","category":"Work","prompt":null,"description":"Jev driving simulator. This model could further autonomous driving.\n\nLinked projects:\n• TypeSafeAiDriving.mp4 — video/mp4 · 8 MB (cdn.discordapp.com/attachments/1483217545040232493/1550136734539583488)","story":"Jev driving simulator. This model could further autonomous driving.\n\nLinked projects:\n• TypeSafeAiDriving.mp4 — video/mp4 · 8 MB (cdn.discordapp.com/attachments/1483217545040232493/1550136734539583488)","sourceHandle":"Jordan Dalton","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550136734950621209","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T13:29:57.760000+00:00","origins":["community"]},{"id":"submission:discord-1550136425498804264","title":"I let Jev draw a picture pixel by pixel and compare it to Claude Haiku.","category":"Work","prompt":null,"description":"https://x.com/j_lamberts/status/2100577481698734255?s=20 I let Jev draw a picture pixel by pixel and compare it to Claude Haiku. Just a tiny bit faster.\n\nLinked projects:\n• Post by @j_lamberts — I let Jev from TypeSafe draw a picture pixel by pixel and compare it to Claude Haiku. Just a tiny bit faster. (x.com/j_lamberts/status/2100577481698734255)\n• Post by @j_lamberts — I let Jev from TypeSafe draw a picture pixel by pixel and compare it to Claude Haiku. Just a tiny bit faster. (twitter.com/j_lamberts/status/2100577481698734255)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550136425498804264","story":"https://x.com/j_lamberts/status/2100577481698734255?s=20 I let Jev draw a picture pixel by pixel and compare it to Claude Haiku. Just a tiny bit faster.\n\nLinked projects:\n• Post by @j_lamberts — I let Jev from TypeSafe draw a picture pixel by pixel and compare it to Claude Haiku. Just a tiny bit faster. (x.com/j_lamberts/status/2100577481698734255)\n• Post by @j_lamberts — I let Jev from TypeSafe draw a picture pixel by pixel and compare it to Claude Haiku. Just a tiny bit faster. (twitter.com/j_lamberts/status/2100577481698734255)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550136425498804264","sourceHandle":"jrooney","sourceUrl":"https://x.com/j_lamberts/status/2100577481698734255?s=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T13:28:43.981000+00:00","origins":["community"]},{"id":"submission:discord-1550136221211295754","title":"Currently having fun with","category":"Home","prompt":null,"description":"Currently having fun with https://github.com/browser-use/jev-ultrafast\n\nLinked projects:\n• browser-use/jev-ultrafast — i. am. speed. Contribute to browser-use/jev-ultrafast development by creating an account on GitHub. (github.com/browser-use/jev-ultrafast)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550136221211295754","story":"Currently having fun with https://github.com/browser-use/jev-ultrafast\n\nLinked projects:\n• browser-use/jev-ultrafast — i. am. speed. Contribute to browser-use/jev-ultrafast development by creating an account on GitHub. (github.com/browser-use/jev-ultrafast)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550136221211295754","sourceHandle":"Alessandro Frau","sourceUrl":"https://github.com/browser-use/jev-ultrafast","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T13:27:55.275000+00:00","origins":["community"]},{"id":"submission:discord-1550135354009452554","title":"I finally got access to Jev, and the first thing I did was give it a phone.","category":"Integrations","prompt":null,"description":"I finally got access to Jev, and the first thing I did was give it a phone.\n\nIt’s blazingly fast at executing actions.\n\nAt this point, the only bottleneck seems to be the UI animations themselves.\n\nhttps://github.com/droidrun/mobile-jev\n\nLinked projects:\n• droidrun/mobile-jev — Contribute to droidrun/mobile-jev development by creating an account on GitHub. (github.com/droidrun/mobile-jev)\n• moAxmCS6qj2thQf4.mp4 — video/mp4 · 3 MB (cdn.discordapp.com/attachments/1483217545040232493/1550135353480843374)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550135354009452554","story":"I finally got access to Jev, and the first thing I did was give it a phone.\n\nIt’s blazingly fast at executing actions.\n\nAt this point, the only bottleneck seems to be the UI animations themselves.\n\nhttps://github.com/droidrun/mobile-jev\n\nLinked projects:\n• droidrun/mobile-jev — Contribute to droidrun/mobile-jev development by creating an account on GitHub. (github.com/droidrun/mobile-jev)\n• moAxmCS6qj2thQf4.mp4 — video/mp4 · 3 MB (cdn.discordapp.com/attachments/1483217545040232493/1550135353480843374)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550135354009452554","sourceHandle":"Messyflame","sourceUrl":"https://github.com/droidrun/mobile-jev","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T13:24:28.518000+00:00","origins":["community"]},{"id":"submission:discord-1550134291500114032","title":"Double barrel ReACT agent architecture: LLM does the writing.","category":"Evaluation","prompt":null,"description":"https://github.com/jvsteiner/jevex\n\nDouble barrel ReACT agent architecture: LLM does the writing. Jev does all the deciding. Tool call decisions and agent loop state are all decided by Jev. LLM writes user output, and tool inputs, where needed.\n\nIncluded real-world benchmarks against basic ReACT agent architecture.\n\nThe strongest successful comparison showed:\n\n  - 77% fewer LLM input tokens with Jev.\n  - 17% fewer uncached input tokens—caching matters.\n  - Two LLM calls instead of five.\n\nLinked projects:\n• jvsteiner/jevex — Contribute to jvsteiner/jevex development by creating an account on GitHub. (github.com/jvsteiner/jevex)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550134291500114032","story":"https://github.com/jvsteiner/jevex\n\nDouble barrel ReACT agent architecture: LLM does the writing. Jev does all the deciding. Tool call decisions and agent loop state are all decided by Jev. LLM writes user output, and tool inputs, where needed.\n\nIncluded real-world benchmarks against basic ReACT agent architecture.\n\nThe strongest successful comparison showed:\n\n  - 77% fewer LLM input tokens with Jev.\n  - 17% fewer uncached input tokens—caching matters.\n  - Two LLM calls instead of five.\n\nLinked projects:\n• jvsteiner/jevex — Contribute to jvsteiner/jevex development by creating an account on GitHub. (github.com/jvsteiner/jevex)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550134291500114032","sourceHandle":"domoarrigato","sourceUrl":"https://github.com/jvsteiner/jevex","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T13:20:15.196000+00:00","origins":["community"]},{"id":"submission:discord-1550133951396581386","title":"As promised.","category":"Work","prompt":null,"description":"As promised. https://x.com/alessandro_a0/status/2100573356294607245?s=20\n\nLinked projects:\n• Post by @alessandro_a0 — I built a New York JFK airport manager simulation with Jev in less than an hour inside Agent Zero. This model is insane. (x.com/alessandro_a0/status/2100573356294607245)\n• Post by @alessandro_a0 — I built a New York JFK airport manager simulation with Jev in less than an hour inside Agent Zero. This model is insane. (twitter.com/alessandro_a0/status/2100573356294607245)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550133951396581386","story":"As promised. https://x.com/alessandro_a0/status/2100573356294607245?s=20\n\nLinked projects:\n• Post by @alessandro_a0 — I built a New York JFK airport manager simulation with Jev in less than an hour inside Agent Zero. This model is insane. (x.com/alessandro_a0/status/2100573356294607245)\n• Post by @alessandro_a0 — I built a New York JFK airport manager simulation with Jev in less than an hour inside Agent Zero. This model is insane. (twitter.com/alessandro_a0/status/2100573356294607245)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550133951396581386","sourceHandle":"Alessandro Frau","sourceUrl":"https://x.com/alessandro_a0/status/2100573356294607245?s=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T13:18:54.109000+00:00","origins":["community"]},{"id":"submission:discord-1550132709513498814","title":"So many cool stuff built there, i added multiple in the awesome-typesafe repo but can't keep up with everything, so","category":"Integrations","prompt":null,"description":"So many cool stuff built there, i added multiple in the awesome-typesafe repo but can't keep up with everything, so please feel free to submit PRs to add cool Jev projects and experiments.\nsome of you already did, thanks.\nlet's grow the typesafe builders community.\n\nhttps://github.com/AbdelStark/awesome-typesafe\n\nLinked projects:\n• AbdelStark/awesome-typesafe — A curated list of official resources and community projects for TypeSafe, System One models, and Jev. - AbdelStark/awesome-typesafe (github.com/AbdelStark/awesome-typesafe)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550132709513498814","story":"So many cool stuff built there, i added multiple in the awesome-typesafe repo but can't keep up with everything, so please feel free to submit PRs to add cool Jev projects and experiments.\nsome of you already did, thanks.\nlet's grow the typesafe builders community.\n\nhttps://github.com/AbdelStark/awesome-typesafe\n\nLinked projects:\n• AbdelStark/awesome-typesafe — A curated list of official resources and community projects for TypeSafe, System One models, and Jev. - AbdelStark/awesome-typesafe (github.com/AbdelStark/awesome-typesafe)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550132709513498814","sourceHandle":"abdel","sourceUrl":"https://github.com/AbdelStark/awesome-typesafe","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T13:13:58.021000+00:00","origins":["community"]},{"id":"submission:discord-1550131503680462908","title":"Yes, that matches my experience so far.","category":"Work","prompt":null,"description":"Yes, that matches my experience so far. Here is another Jev versus Luna Medium example. Given the same input, Luna maneuvered more effectively (although at x5.4 the cost and x5.1 the time) and avoided pursuing the apple when doing so would create a dangerous position in the future.\n\nI understand this may be outside the system’s intended scope, but reliable long-horizon decision making at this speed would be incredibly useful. It can only improve from here.\n\nLinked projects:\n• image.png — image/png · 84 KB (cdn.discordapp.com/attachments/1483217545040232493/1550131503239921694)","story":"Yes, that matches my experience so far. Here is another Jev versus Luna Medium example. Given the same input, Luna maneuvered more effectively (although at x5.4 the cost and x5.1 the time) and avoided pursuing the apple when doing so would create a dangerous position in the future.\n\nI understand this may be outside the system’s intended scope, but reliable long-horizon decision making at this speed would be incredibly useful. It can only improve from here.\n\nLinked projects:\n• image.png — image/png · 84 KB (cdn.discordapp.com/attachments/1483217545040232493/1550131503239921694)","sourceHandle":"Jayson","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550131503680462908","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T13:09:10.528000+00:00","origins":["community"]},{"id":"submission:discord-1550131319701512252","title":"I built an Home Assistant integration to use Jev in your Home Assistant automations!","category":"Home","prompt":null,"description":"https://github.com/AboveColin/HA-Jev I built an Home Assistant integration to use Jev in your Home Assistant automations! feel free to install and try it out using HACS.\n\nLinked projects:\n• AboveColin/HA-Jev — Home Assistant integration for TypeSafe Jev. Ask a question about your house and get a probability, a choice or a score as an entity. - AboveColin/HA-Jev (github.com/AboveColin/HA-Jev)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550131319701512252","story":"https://github.com/AboveColin/HA-Jev I built an Home Assistant integration to use Jev in your Home Assistant automations! feel free to install and try it out using HACS.\n\nLinked projects:\n• AboveColin/HA-Jev — Home Assistant integration for TypeSafe Jev. Ask a question about your house and get a probability, a choice or a score as an entity. - AboveColin/HA-Jev (github.com/AboveColin/HA-Jev)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550131319701512252","sourceHandle":"Colin","sourceUrl":"https://github.com/AboveColin/HA-Jev","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T13:08:26.664000+00:00","origins":["community"]},{"id":"submission:discord-1550130561618804860","title":"hi everyone. inspired by jev, i created something real fun: crowd check. test your post/tweet on a crowd","category":"Admin","prompt":null,"description":"hi everyone. inspired by jev, i created something real fun: crowd check.\n\ntest your post/tweet on a crowd of 10,000 AI readers before the real internet sees it. \n\nthey have their own jobs, personalities, tastes and memories.\n\npost anything and watch what happens:\n\n- do they like it?\n- hate it?\n- repost it?\n- follow you?\n- block you?\n- or nobody cares?\n\nthen see exactly how your post performed across the crowd\n\n10,000 ai readers. millions of tiny decisions\n\nhttps://crowdcheck-ai.vercel.app\n\nusing jev via vercel ai gateway. appreciate any feedback.\n\nLinked projects:\n• Crowdcheck — Test your post on 10,000 AI readers before the real internet sees it. (crowdcheck-ai.vercel.app)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550130561618804860","story":"hi everyone. inspired by jev, i created something real fun: crowd check.\n\ntest your post/tweet on a crowd of 10,000 AI readers before the real internet sees it. \n\nthey have their own jobs, personalities, tastes and memories.\n\npost anything and watch what happens:\n\n- do they like it?\n- hate it?\n- repost it?\n- follow you?\n- block you?\n- or nobody cares?\n\nthen see exactly how your post performed across the crowd\n\n10,000 ai readers. millions of tiny decisions\n\nhttps://crowdcheck-ai.vercel.app\n\nusing jev via vercel ai gateway. appreciate any feedback.\n\nLinked projects:\n• Crowdcheck — Test your post on 10,000 AI readers before the real internet sees it. (crowdcheck-ai.vercel.app)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550130561618804860","sourceHandle":"senol","sourceUrl":"https://crowdcheck-ai.vercel.app","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T13:05:25.923000+00:00","origins":["community"]},{"id":"submission:discord-1550130505939419166","title":"Yes, I used JSON.","category":"Work","prompt":null,"description":"Yes, I used JSON. Vercel eve agent sessions are stored as json turns anyway\nThis is what I sent to Jev + the questions\n* Judging the session as a whole, did the user get what they wanted from the agent? Yes/No\n* Assume the user did NOT get what they wanted. What is the main reason?\n\nLinked projects:\n• image.png — image/png · 31 KB (cdn.discordapp.com/attachments/1483217545040232493/1550130504991375441)","story":"Yes, I used JSON. Vercel eve agent sessions are stored as json turns anyway\nThis is what I sent to Jev + the questions\n* Judging the session as a whole, did the user get what they wanted from the agent? Yes/No\n* Assume the user did NOT get what they wanted. What is the main reason?\n\nLinked projects:\n• image.png — image/png · 31 KB (cdn.discordapp.com/attachments/1483217545040232493/1550130504991375441)","sourceHandle":"danmana","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550130505939419166","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T13:05:12.648000+00:00","origins":["community"]},{"id":"submission:discord-1550128848505671794","title":"yes but this is also why momentum trading absolutely dominates hedge fund strategies.","category":"Work","prompt":null,"description":"yes but this is also why momentum trading absolutely dominates hedge fund strategies.\n\nit absolutely works in 90% of\nmarket regimes.\n\nof course every strategy converges to average returns less trading costs on a long enough time frame. hard problem.\n\n\"be like a goldfish\" is the best outlook, but no guarantee.\n\nworthwhile because long term average returns outpace most\nother assets.","story":"yes but this is also why momentum trading absolutely dominates hedge fund strategies.\n\nit absolutely works in 90% of\nmarket regimes.\n\nof course every strategy converges to average returns less trading costs on a long enough time frame. hard problem.\n\n\"be like a goldfish\" is the best outlook, but no guarantee.\n\nworthwhile because long term average returns outpace most\nother assets.","sourceHandle":"WeLiveToServe","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550128848505671794","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T12:58:37.485000+00:00","origins":["community"]},{"id":"submission:discord-1550128597518524550","title":"I used Jev to classify failure reasons for our custom vercel eve agent 320 sessions, 2M tokens, 14 seconds, $0.08 Just","category":"Work","prompt":null,"description":"I used Jev to classify failure reasons for our custom vercel eve agent\n320 sessions, 2M tokens, 14 seconds, $0.08\nJust downloading the session logs from vercel took 3 minutes, Jev classified them in 14s \n\nhttps://x.com/danmana/status/2100545412780220877\n\nLinked projects:\n• Post by @danmana — Here is Jev from @typesafeai classifying 300 full chat sessions from our custom @vercel eve agent by failure reason. 323 sessions, 2M tokens done in 14s and costing $0.08 https://x.com/CompleteSkeptic/status/209992568272 (x.com/danmana/status/2100545412780220877)\n• Post by @danmana — Here is Jev from @typesafeai classifying 300 full chat sessions from our custom @vercel eve agent by failure reason. 323 sessions, 2M tokens done in 14s and costing $0.08 https://x.com/CompleteSkeptic/status/209992568272 (twitter.com/danmana/status/2100545412780220877)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550128597518524550","story":"I used Jev to classify failure reasons for our custom vercel eve agent\n320 sessions, 2M tokens, 14 seconds, $0.08\nJust downloading the session logs from vercel took 3 minutes, Jev classified them in 14s \n\nhttps://x.com/danmana/status/2100545412780220877\n\nLinked projects:\n• Post by @danmana — Here is Jev from @typesafeai classifying 300 full chat sessions from our custom @vercel eve agent by failure reason. 323 sessions, 2M tokens done in 14s and costing $0.08 https://x.com/CompleteSkeptic/status/209992568272 (x.com/danmana/status/2100545412780220877)\n• Post by @danmana — Here is Jev from @typesafeai classifying 300 full chat sessions from our custom @vercel eve agent by failure reason. 323 sessions, 2M tokens done in 14s and costing $0.08 https://x.com/CompleteSkeptic/status/209992568272 (twitter.com/danmana/status/2100545412780220877)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550128597518524550","sourceHandle":"danmana","sourceUrl":"https://x.com/danmana/status/2100545412780220877","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T12:57:37.645000+00:00","origins":["community"]},{"id":"submission:discord-1550128338947940484","title":"repost to support 🙏","category":"Social","prompt":null,"description":"https://x.com/meliwat93/status/2100404711283188181?s=46\n\nrepost to support 🙏\n\nLinked projects:\n• Post by @Meliwat93 — I got access to Jev! I had it play NES tetris! (x.com/meliwat93/status/2100404711283188181)\n• Post by @Meliwat93 — I got access to Jev! I had it play NES tetris! (twitter.com/meliwat93/status/2100404711283188181)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550128338947940484","story":"https://x.com/meliwat93/status/2100404711283188181?s=46\n\nrepost to support 🙏\n\nLinked projects:\n• Post by @Meliwat93 — I got access to Jev! I had it play NES tetris! (x.com/meliwat93/status/2100404711283188181)\n• Post by @Meliwat93 — I got access to Jev! I had it play NES tetris! (twitter.com/meliwat93/status/2100404711283188181)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550128338947940484","sourceHandle":"Meliwat","sourceUrl":"https://x.com/meliwat93/status/2100404711283188181?s=46","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T12:56:35.997000+00:00","origins":["community"]},{"id":"submission:discord-1550128168437030983","title":"Tried the **semantic-find cookbook** on supplier replies for Factory Twelve, an apparel sourcing platform, using","category":"Food","prompt":null,"description":"Tried the **semantic-find cookbook** on supplier replies for Factory Twelve, an apparel sourcing platform, using `jev-1.13.0`.\n\nThree questions over the same state in one System One request:\n\n- **Choice — `where`:** select the most relevant clause ID.\n- **Noul — `exists`:** probability the reply supplies at least one requested detail.\n- **Choice — `coverage`:** classify the answer as `complete`, `partial`, or `absent`.\n\nExistence is separate because clause Choice always produces a winner. Coverage is separate because Noul near 0.5 means uncertainty—not a partially complete answer.\n\nCode preserves source IDs, versions, hashes and character offsets, then copies the selected text verbatim. No generated quotations.\n\n**First run: 12 synthetic development cases**\n\n- Existence: **12/12** correct at a 0.5 threshold.\n- Clause selection: **8/8** on answer-bearing cases.\n- Highlights suppressed for all **4 absent cases**.\n- Coverage: **9/12** correct.\n- Mean latency: **455 ms/request**.\n- Usage: **9,742 input / 1,548 output tokens**.\n\nAll three coverage errors selected the correct clause:\n\n- `$","story":"Tried the **semantic-find cookbook** on supplier replies for Factory Twelve, an apparel sourcing platform, using `jev-1.13.0`.\n\nThree questions over the same state in one System One request:\n\n- **Choice — `where`:** select the most relevant clause ID.\n- **Noul — `exists`:** probability the reply supplies at least one requested detail.\n- **Choice — `coverage`:** classify the answer as `complete`, `partial`, or `absent`.\n\nExistence is separate because clause Choice always produces a winner. Coverage is separate because Noul near 0.5 means uncertainty—not a partially complete answer.\n\nCode preserves source IDs, versions, hashes and character offsets, then copies the selected text verbatim. No generated quotations.\n\n**First run: 12 synthetic development cases**\n\n- Existence: **12/12** correct at a 0.5 threshold.\n- Clause selection: **8/8** on answer-bearing cases.\n- Highlights suppressed for all **4 absent cases**.\n- Coverage: **9/12** correct.\n- Mean latency: **455 ms/request**.\n- Usage: **9,742 input / 1,548 output tokens**.\n\nAll three coverage errors selected the correct clause:\n\n- `$","sourceHandle":"Jeff","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550128168437030983","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T12:55:55.344000+00:00","origins":["community"]},{"id":"submission:discord-1550126899622314015","title":"careful with this.","category":"Home","prompt":null,"description":"careful with this. paper trading neglects the fact that, especially on trading exchanges, an army of bots front runs even smaller trades. \n\nperp rates universally fluctuate very\ndifferently than the historical trading data, not because of microbots but because large trades moved them that are not based on normal trading\nmetrics.\n\nin fact a lot of the price action is *because* of the larger trades, so the signal is not inherent to the regime or traditional options/momentum tendencies.\n\n\"you haven't really vibe codes til you stack up an accidental $1k bill\" \n=\n\"you aren't a real trader until you've been eaten alive leveraging a back tested paper strategy that had incredible results.\"\n\nstill, it works.","story":"careful with this. paper trading neglects the fact that, especially on trading exchanges, an army of bots front runs even smaller trades. \n\nperp rates universally fluctuate very\ndifferently than the historical trading data, not because of microbots but because large trades moved them that are not based on normal trading\nmetrics.\n\nin fact a lot of the price action is *because* of the larger trades, so the signal is not inherent to the regime or traditional options/momentum tendencies.\n\n\"you haven't really vibe codes til you stack up an accidental $1k bill\" \n=\n\"you aren't a real trader until you've been eaten alive leveraging a back tested paper strategy that had incredible results.\"\n\nstill, it works.","sourceHandle":"WeLiveToServe","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550126899622314015","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T12:50:52.835000+00:00","origins":["community"]},{"id":"submission:discord-1550126239853977691","title":"I had jev play Tetris","category":"Work","prompt":null,"description":"https://x.com/meliwat93/status/2100404711283188181?s=46\n\nI had jev play Tetris\n\nLinked projects:\n• Post by @Meliwat93 — I got access to Jev! I had it play NES tetris! (x.com/meliwat93/status/2100404711283188181)\n• Post by @Meliwat93 — I got access to Jev! I had it play NES tetris! (twitter.com/meliwat93/status/2100404711283188181)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550126239853977691","story":"https://x.com/meliwat93/status/2100404711283188181?s=46\n\nI had jev play Tetris\n\nLinked projects:\n• Post by @Meliwat93 — I got access to Jev! I had it play NES tetris! (x.com/meliwat93/status/2100404711283188181)\n• Post by @Meliwat93 — I got access to Jev! I had it play NES tetris! (twitter.com/meliwat93/status/2100404711283188181)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550126239853977691","sourceHandle":"Meliwat","sourceUrl":"https://x.com/meliwat93/status/2100404711283188181?s=46","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T12:48:15.534000+00:00","origins":["community"]},{"id":"submission:discord-1550126231566155878","title":"My experience so far is that Jev is extremely fast and capable of avoiding immediate risks, but Luna makes better","category":"Home","prompt":null,"description":"My experience so far is that Jev is extremely fast and capable of avoiding immediate risks, but Luna makes better decisions when the consequences extend several moves into the future. I tested different prompt calibrations, from safety focused to more apple focused, while always giving both models the same prompt and context. Jev either became too cautious or pursued apples without anticipating later traps as consistently, whereas Luna more often balanced progress with the long-term shape of the snake. It was not perfect, but it appeared to reason further ahead, sometimes taking several seconds and using more reasoning tokens on difficult moves. This is only my experience from these experiments, but Jev’s long-horizon judgment still seems behind Luna and the expected Terra-level performance, despite its impressive speed. For a first-generation system, though, it is extremely impressive, and I’m excited to see how it improves as it becomes more refined for long-horizon decision tasks.","story":"My experience so far is that Jev is extremely fast and capable of avoiding immediate risks, but Luna makes better decisions when the consequences extend several moves into the future. I tested different prompt calibrations, from safety focused to more apple focused, while always giving both models the same prompt and context. Jev either became too cautious or pursued apples without anticipating later traps as consistently, whereas Luna more often balanced progress with the long-term shape of the snake. It was not perfect, but it appeared to reason further ahead, sometimes taking several seconds and using more reasoning tokens on difficult moves. This is only my experience from these experiments, but Jev’s long-horizon judgment still seems behind Luna and the expected Terra-level performance, despite its impressive speed. For a first-generation system, though, it is extremely impressive, and I’m excited to see how it improves as it becomes more refined for long-horizon decision tasks.","sourceHandle":"Jayson","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550126231566155878","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T12:48:13.558000+00:00","origins":["community"]},{"id":"submission:discord-1550125664667967569","title":"What are the most interesting applications you have seen so far with TypeSafe AI and Jev?","category":"Work","prompt":null,"description":"What are the most interesting applications you have seen so far with TypeSafe AI and Jev? I'm asking because Jev told me to check it out more\n\nLinked projects:\n• Screenshot_2026-09-17_at_14.32.22.png — image/png · 479 KB (cdn.discordapp.com/attachments/1483217545040232493/1550125664362041525)","story":"What are the most interesting applications you have seen so far with TypeSafe AI and Jev? I'm asking because Jev told me to check it out more\n\nLinked projects:\n• Screenshot_2026-09-17_at_14.32.22.png — image/png · 479 KB (cdn.discordapp.com/attachments/1483217545040232493/1550125664362041525)","sourceHandle":"Eddy Vinck","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550125664667967569","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T12:45:58.399000+00:00","origins":["community"]},{"id":"submission:discord-1550123710332276857","title":"same. i happen to be doing data sets for prompt injection. iteratively altering the prompt makes a big,","category":"Admin","prompt":null,"description":"same. i happen to be doing data sets for prompt injection.\n\niteratively altering the prompt makes a big, big difference in false positives.\n\ni subjectively noticed that much longer prompts really degraded performance.\n\ni don't like analogies, but i think it's like predicting \"likelihood of more than half of the quarters coming up heads\" for n=3,7,19, 71, 139, etc...\n\nlarger inputs to a probabilistic process narrow the outcomes.","story":"same. i happen to be doing data sets for prompt injection.\n\niteratively altering the prompt makes a big, big difference in false positives.\n\ni subjectively noticed that much longer prompts really degraded performance.\n\ni don't like analogies, but i think it's like predicting \"likelihood of more than half of the quarters coming up heads\" for n=3,7,19, 71, 139, etc...\n\nlarger inputs to a probabilistic process narrow the outcomes.","sourceHandle":"WeLiveToServe","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550123710332276857","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T12:38:12.449000+00:00","origins":["community"]},{"id":"submission:discord-1550121746596896788","title":"I gave jev real trading data, and let it dry-run.","category":"Work","prompt":null,"description":"https://x.com/karuri945/status/2100562714376454654?s=20\nI gave jev real trading data, and let it dry-run. Indeed. It \"earned\" $17 for minutes...\n\nLinked projects:\n• Post by @dawn_break_1107 — @CompleteSkeptic I gave #jev real trading data, and let it dry-run. Indeed. It \"earned\" $17 for minutes... 🤣 (x.com/karuri945/status/2100562714376454654)\n• Post by @dawn_break_1107 — @CompleteSkeptic I gave #jev real trading data, and let it dry-run. Indeed. It \"earned\" $17 for minutes... 🤣 (twitter.com/karuri945/status/2100562714376454654)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550121746596896788","story":"https://x.com/karuri945/status/2100562714376454654?s=20\nI gave jev real trading data, and let it dry-run. Indeed. It \"earned\" $17 for minutes...\n\nLinked projects:\n• Post by @dawn_break_1107 — @CompleteSkeptic I gave #jev real trading data, and let it dry-run. Indeed. It \"earned\" $17 for minutes... 🤣 (x.com/karuri945/status/2100562714376454654)\n• Post by @dawn_break_1107 — @CompleteSkeptic I gave #jev real trading data, and let it dry-run. Indeed. It \"earned\" $17 for minutes... 🤣 (twitter.com/karuri945/status/2100562714376454654)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550121746596896788","sourceHandle":"Lovely Olaf","sourceUrl":"https://x.com/karuri945/status/2100562714376454654?s=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T12:30:24.258000+00:00","origins":["community"]},{"id":"submission:discord-1550121363488907379","title":"It could still be a harness or prompting issue, which is part of what I’m testing.","category":"Home","prompt":null,"description":"It could still be a harness or prompting issue, which is part of what I’m testing.\n\nEach model chooses one relative action: `forward`, `left`, or `right`.\n\nJev receives a TypeSafe Choice:\n\n```json\n{\n  \"type\": \"choice\",\n  \"criteria\": {\n    \"forward\": \"Continue in the current heading.\",\n    \"left\": \"Turn left.\",\n    \"right\": \"Turn right.\"\n  }\n}\n```\n\nLuna receives the same options through a strict JSON enum:\n\n```json\n{\n  \"action\": {\n    \"type\": \"string\",\n    \"enum\": [\"forward\", \"left\", \"right\"]\n  }\n}\n```\n\nBoth receive the same prompt and game state. A shortened state example:\n\n```json\n{\n  \"board\": {\n    \"width\": 10,\n    \"height\": 10,\n    \"map\": [\"..........\", \"...TBH.A..\", \"..........\"]\n  },\n  \"heading\": \"right\",\n  \"apple\": {\"x\": 7, \"y\": 1},\n  \"body_head_to_tail\": [\n    {\"role\": \"head\", \"x\": 5, \"y\": 1},\n    {\"role\": \"body\", \"x\": 4, \"y\": 1},\n    {\"role\": \"tail\", \"x\": 3, \"y\": 1}\n  ],\n  \"moves\": {\n    \"forward\": {\n      \"next\": {\"x\": 6, \"y\": 1},\n      \"collision\": false,\n      \"apple_distance\": 1,\n      \"safe_cells\": 98\n    },\n    \"left\": {\n      \"next\": {\"x\": 5, \"y\": 0},\n      \"collision\"","story":"It could still be a harness or prompting issue, which is part of what I’m testing.\n\nEach model chooses one relative action: `forward`, `left`, or `right`.\n\nJev receives a TypeSafe Choice:\n\n```json\n{\n  \"type\": \"choice\",\n  \"criteria\": {\n    \"forward\": \"Continue in the current heading.\",\n    \"left\": \"Turn left.\",\n    \"right\": \"Turn right.\"\n  }\n}\n```\n\nLuna receives the same options through a strict JSON enum:\n\n```json\n{\n  \"action\": {\n    \"type\": \"string\",\n    \"enum\": [\"forward\", \"left\", \"right\"]\n  }\n}\n```\n\nBoth receive the same prompt and game state. A shortened state example:\n\n```json\n{\n  \"board\": {\n    \"width\": 10,\n    \"height\": 10,\n    \"map\": [\"..........\", \"...TBH.A..\", \"..........\"]\n  },\n  \"heading\": \"right\",\n  \"apple\": {\"x\": 7, \"y\": 1},\n  \"body_head_to_tail\": [\n    {\"role\": \"head\", \"x\": 5, \"y\": 1},\n    {\"role\": \"body\", \"x\": 4, \"y\": 1},\n    {\"role\": \"tail\", \"x\": 3, \"y\": 1}\n  ],\n  \"moves\": {\n    \"forward\": {\n      \"next\": {\"x\": 6, \"y\": 1},\n      \"collision\": false,\n      \"apple_distance\": 1,\n      \"safe_cells\": 98\n    },\n    \"left\": {\n      \"next\": {\"x\": 5, \"y\": 0},\n      \"collision\"","sourceHandle":"Jayson","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550121363488907379","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T12:28:52.918000+00:00","origins":["community"]},{"id":"submission:discord-1550118931698548746","title":"Had Jev routing users on a website based on prompts","category":"Work","prompt":null,"description":"Had Jev routing users on a website based on prompts https://x.com/digitalshane_/status/2100399951872205224?s=46&t=IUH0numJ2wxvHLmj8vkKzg\n\nLinked projects:\n• Post by @digitalshane_ — I got access to Jev! It can route website visitors to the pages they need based on what they need help with! (x.com/digitalshane_/status/2100399951872205224)\n• Post by @digitalshane_ — I got access to Jev! It can route website visitors to the pages they need based on what they need help with! (twitter.com/digitalshane_/status/2100399951872205224)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550118931698548746","story":"Had Jev routing users on a website based on prompts https://x.com/digitalshane_/status/2100399951872205224?s=46&t=IUH0numJ2wxvHLmj8vkKzg\n\nLinked projects:\n• Post by @digitalshane_ — I got access to Jev! It can route website visitors to the pages they need based on what they need help with! (x.com/digitalshane_/status/2100399951872205224)\n• Post by @digitalshane_ — I got access to Jev! It can route website visitors to the pages they need based on what they need help with! (twitter.com/digitalshane_/status/2100399951872205224)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550118931698548746","sourceHandle":"shaneomac151","sourceUrl":"https://x.com/digitalshane_/status/2100399951872205224?s=46&t=IUH0numJ2wxvHLmj8vkKzg","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T12:19:13.134000+00:00","origins":["community"]},{"id":"submission:discord-1550118139960762388","title":"Had Jev and Luna Medium play Snake using the exact same input, with one move decided per API call.","category":"Integrations","prompt":null,"description":"Had Jev and Luna Medium play Snake using the exact same input, with one move decided per API call. Jev is incredibly fast, although its decision making still has room to improve. Over the same number of moves, Luna collected roughly twice as many apples. Excited to see where this goes!\n\nLinked projects:\n• image.png — image/png · 117 KB (cdn.discordapp.com/attachments/1483217545040232493/1550118139226886184)","story":"Had Jev and Luna Medium play Snake using the exact same input, with one move decided per API call. Jev is incredibly fast, although its decision making still has room to improve. Over the same number of moves, Luna collected roughly twice as many apples. Excited to see where this goes!\n\nLinked projects:\n• image.png — image/png · 117 KB (cdn.discordapp.com/attachments/1483217545040232493/1550118139226886184)","sourceHandle":"Jayson","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550118139960762388","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T12:16:04.369000+00:00","origins":["community"]},{"id":"submission:discord-1550117665002229794","title":"Chess, Brain Activity, Molecules!","category":"Work","prompt":null,"description":"Chess, Brain Activity, Molecules! This will be indeed a fun model! \nhttps://x.com/nikuscs/status/2100554927797833955?s=46\n\nLinked projects:\n• Post by @nikuscs — My JEV experiments are also in :p Chess predictions, brain activity, Molecules Smell, and so on, this is quite fun model for some real word scenario, pretty curious for endless ideias this could unfold. Interactive demos (x.com/nikuscs/status/2100554927797833955)\n• Post by @nikuscs — My JEV experiments are also in :p Chess predictions, brain activity, Molecules Smell, and so on, this is quite fun model for some real word scenario, pretty curious for endless ideias this could unfold. Interactive demos (twitter.com/nikuscs/status/2100554927797833955)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550117665002229794","story":"Chess, Brain Activity, Molecules! This will be indeed a fun model! \nhttps://x.com/nikuscs/status/2100554927797833955?s=46\n\nLinked projects:\n• Post by @nikuscs — My JEV experiments are also in :p Chess predictions, brain activity, Molecules Smell, and so on, this is quite fun model for some real word scenario, pretty curious for endless ideias this could unfold. Interactive demos (x.com/nikuscs/status/2100554927797833955)\n• Post by @nikuscs — My JEV experiments are also in :p Chess predictions, brain activity, Molecules Smell, and so on, this is quite fun model for some real word scenario, pretty curious for endless ideias this could unfold. Interactive demos (twitter.com/nikuscs/status/2100554927797833955)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550117665002229794","sourceHandle":"nikus","sourceUrl":"https://x.com/nikuscs/status/2100554927797833955?s=46","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T12:14:11.130000+00:00","origins":["community"]},{"id":"submission:discord-1550114068730347542","title":"hmmm, with how fast Jev is, would be interesting piping earnings into it, seems pretty accurate in very limited testing","category":"Evaluation","prompt":null,"description":"hmmm, with how fast Jev is, would be interesting piping earnings into it, seems pretty accurate in very limited testing\n\nLinked projects:\n• image.png — image/png · 46 KB (cdn.discordapp.com/attachments/1483217545040232493/1550114067828707458)\n• image.png — image/png · 28 KB (cdn.discordapp.com/attachments/1483217545040232493/1550114068332019752)","story":"hmmm, with how fast Jev is, would be interesting piping earnings into it, seems pretty accurate in very limited testing\n\nLinked projects:\n• image.png — image/png · 46 KB (cdn.discordapp.com/attachments/1483217545040232493/1550114067828707458)\n• image.png — image/png · 28 KB (cdn.discordapp.com/attachments/1483217545040232493/1550114068332019752)","sourceHandle":"slices","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550114068730347542","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T11:59:53.712000+00:00","origins":["community"]},{"id":"submission:discord-1550112904618180679","title":"3x faster, 65% cheaper, **and** safer?","category":"Work","prompt":null,"description":"3x faster, 65% cheaper, **and** safer? I'll take that thanks 😅 https://x.com/ashleyhindle/status/2100553892639473951?s=20\n\nLinked projects:\n• Post by @ashleyhindle — Jev was 3x faster, 65% cheaper, and safer on this benchmark 🤯 Fuel classifies the first message in a new chat to see what level of intelligence will be needed for that chat. If we get it right we reduce the user's token (x.com/ashleyhindle/status/2100553892639473951)\n• Post by @ashleyhindle — Jev was 3x faster, 65% cheaper, and safer on this benchmark 🤯 Fuel classifies the first message in a new chat to see what level of intelligence will be needed for that chat. If we get it right we reduce the user's token (twitter.com/ashleyhindle/status/2100553892639473951)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550112904618180679","story":"3x faster, 65% cheaper, **and** safer? I'll take that thanks 😅 https://x.com/ashleyhindle/status/2100553892639473951?s=20\n\nLinked projects:\n• Post by @ashleyhindle — Jev was 3x faster, 65% cheaper, and safer on this benchmark 🤯 Fuel classifies the first message in a new chat to see what level of intelligence will be needed for that chat. If we get it right we reduce the user's token (x.com/ashleyhindle/status/2100553892639473951)\n• Post by @ashleyhindle — Jev was 3x faster, 65% cheaper, and safer on this benchmark 🤯 Fuel classifies the first message in a new chat to see what level of intelligence will be needed for that chat. If we get it right we reduce the user's token (twitter.com/ashleyhindle/status/2100553892639473951)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550112904618180679","sourceHandle":"ashleyhindle","sourceUrl":"https://x.com/ashleyhindle/status/2100553892639473951?s=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T11:55:16.166000+00:00","origins":["community"]},{"id":"submission:discord-1550112189803790447","title":"Just got access to Jev last night, but have added it to one production app this morning.","category":"Admin","prompt":null,"description":"Just got access to Jev last night, but have added it to one production app this morning.  It is an app called LeadDemon, which is pure python.  The app searches the web by region/industry, and then identifies companies with a very specific set of criteria. The results are added to an automated funnel (email and LinkedIn).  There is one step where we filter the results to eliminate \"non\" companies (institutions, individuals, support, etc).  My python code managed to filter 48% of them.  Using Jev with a noul type it caught 97%.  It will now be part of the automated production run at 10:30!  I will be digging through my other projects today, looking for more \"low hanging fruit\".","story":"Just got access to Jev last night, but have added it to one production app this morning.  It is an app called LeadDemon, which is pure python.  The app searches the web by region/industry, and then identifies companies with a very specific set of criteria. The results are added to an automated funnel (email and LinkedIn).  There is one step where we filter the results to eliminate \"non\" companies (institutions, individuals, support, etc).  My python code managed to filter 48% of them.  Using Jev with a noul type it caught 97%.  It will now be part of the automated production run at 10:30!  I will be digging through my other projects today, looking for more \"low hanging fruit\".","sourceHandle":"nobleQuest","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550112189803790447","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T11:52:25.741000+00:00","origins":["community"]},{"id":"submission:discord-1550111198236901406","title":"Okay, [my Rust library for Jev]( ) is finished now.","category":"Work","prompt":null,"description":"Okay, [my Rust library for Jev](https://gitlab.com/porky11/jev) is finished now.\nIt's not necessary, but it might make usage a little more comfortable and typesafe.\nIt also includes some interactive example where you can ask questions.\n\nLinked projects:\n• Fabio Krapohl / jev · GitLab — GitLab.com (gitlab.com/porky11/jev)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550111198236901406","story":"Okay, [my Rust library for Jev](https://gitlab.com/porky11/jev) is finished now.\nIt's not necessary, but it might make usage a little more comfortable and typesafe.\nIt also includes some interactive example where you can ask questions.\n\nLinked projects:\n• Fabio Krapohl / jev · GitLab — GitLab.com (gitlab.com/porky11/jev)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550111198236901406","sourceHandle":"p 🦊","sourceUrl":"https://gitlab.com/porky11/jev","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T11:48:29.333000+00:00","origins":["community"]},{"id":"submission:discord-1550105858988576839","title":"**Some findings from testing Jev , particularly Choice vs Noul and Choice labels** I've been playing around with Jev","category":"Home","prompt":null,"description":"**Some findings from testing Jev , particularly Choice vs Noul and Choice labels**\n\nI've been playing around with Jev 1.13.0 quite a bit and found some behavior that I think is worth knowing if you're using its probabilities downstream.\n\nThe biggest takeaway is very simple:\n\nThe way you represent a question can substantially change the probability Jev returns, even when the underlying question and option descriptions stay semantically same.\n\nI started by repeatedly sending identical questions just to see how stable the outputs were. Jev is stochastic (shocker I know): identical calls don't necessarily return exactly the same probability. However, when I repeated questions many times, the average was generally very remarkably stable with very little standard deviation\n\nSo there seems to be a useful distinction between:\n\nindividual-call noise vs stable differences caused by changing the question representation + \n\nTL;DR: Jev’s probabilities can be surprisingly sensitive to how you represent the exact same question. Noul and equivalent binary Choice questions can give substantially diff","story":"**Some findings from testing Jev , particularly Choice vs Noul and Choice labels**\n\nI've been playing around with Jev 1.13.0 quite a bit and found some behavior that I think is worth knowing if you're using its probabilities downstream.\n\nThe biggest takeaway is very simple:\n\nThe way you represent a question can substantially change the probability Jev returns, even when the underlying question and option descriptions stay semantically same.\n\nI started by repeatedly sending identical questions just to see how stable the outputs were. Jev is stochastic (shocker I know): identical calls don't necessarily return exactly the same probability. However, when I repeated questions many times, the average was generally very remarkably stable with very little standard deviation\n\nSo there seems to be a useful distinction between:\n\nindividual-call noise vs stable differences caused by changing the question representation + \n\nTL;DR: Jev’s probabilities can be surprisingly sensitive to how you represent the exact same question. Noul and equivalent binary Choice questions can give substantially diff","sourceHandle":"ubhillutd","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550105858988576839","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T11:27:16.357000+00:00","origins":["community"]},{"id":"submission:discord-1550105613193838742","title":"i gave jev some riddles, it does pretty good.","category":"Work","prompt":null,"description":"i gave jev some riddles, it does pretty good. But here it fails.\n\nLinked projects:\n• image.png — image/png · 132 KB (cdn.discordapp.com/attachments/1483217545040232493/1550105612929728592)","story":"i gave jev some riddles, it does pretty good. But here it fails.\n\nLinked projects:\n• image.png — image/png · 132 KB (cdn.discordapp.com/attachments/1483217545040232493/1550105612929728592)","sourceHandle":"jrooney","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550105613193838742","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T11:26:17.755000+00:00","origins":["community"]},{"id":"submission:discord-1550105259454763108","title":"A blazing-fast, recursive tournament engine for ranking texts (poems, startup pitches, rap lyrics, cold emails,","category":"Admin","prompt":null,"description":"A blazing-fast, recursive tournament engine for ranking texts (poems, startup pitches, rap lyrics, cold emails, marketing hooks) using Jev LLM and standard Elo rating mechanics. https://github.com/opaielsheikh/ai-elo-ranker\n\nLinked projects:\n• opaielsheikh/ai-elo-ranker — High-speed recursive AI Elo tournament engine powered by Jev and Swiss matchmaking - opaielsheikh/ai-elo-ranker (github.com/opaielsheikh/ai-elo-ranker)\n• export-1789644146601.mp4 — video/mp4 · 46 MB (cdn.discordapp.com/attachments/1483217545040232493/1550105256510357504)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550105259454763108","story":"A blazing-fast, recursive tournament engine for ranking texts (poems, startup pitches, rap lyrics, cold emails, marketing hooks) using Jev LLM and standard Elo rating mechanics. https://github.com/opaielsheikh/ai-elo-ranker\n\nLinked projects:\n• opaielsheikh/ai-elo-ranker — High-speed recursive AI Elo tournament engine powered by Jev and Swiss matchmaking - opaielsheikh/ai-elo-ranker (github.com/opaielsheikh/ai-elo-ranker)\n• export-1789644146601.mp4 — video/mp4 · 46 MB (cdn.discordapp.com/attachments/1483217545040232493/1550105256510357504)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550105259454763108","sourceHandle":"Ubay","sourceUrl":"https://github.com/opaielsheikh/ai-elo-ranker","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T11:24:53.417000+00:00","origins":["community"]},{"id":"submission:discord-1550103805335437345","title":"Hey, I've started experimenting with integrating TypeSafe into our AI assistant for certain operations (routing,","category":"Work","prompt":null,"description":"Hey, I've started experimenting with integrating TypeSafe into our AI assistant for certain operations (routing, specific tool calls...). By default, we use Gemini Flash for its balance of speed and capabilities.\n\nOn the left, the version using Gemini only; on the right, the version combining Jev.\n\nLinked projects:\n• Enregistrement_de_lecran_2026-09-17_a_12.24.59.mov — video/quicktime · 4 MB (cdn.discordapp.com/attachments/1483217545040232493/1550103804907884684)","story":"Hey, I've started experimenting with integrating TypeSafe into our AI assistant for certain operations (routing, specific tool calls...). By default, we use Gemini Flash for its balance of speed and capabilities.\n\nOn the left, the version using Gemini only; on the right, the version combining Jev.\n\nLinked projects:\n• Enregistrement_de_lecran_2026-09-17_a_12.24.59.mov — video/quicktime · 4 MB (cdn.discordapp.com/attachments/1483217545040232493/1550103804907884684)","sourceHandle":"Eddy","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550103805335437345","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T11:19:06.728000+00:00","origins":["community"]},{"id":"submission:discord-1550103473750540441","title":"Made a little Sudoku playground with Jev.","category":"Food","prompt":null,"description":"Made a little Sudoku playground with Jev. Give it a difficulty brief, then watch each move live or slow it down. Jev chooses the puzzle recipe and digits; a local engine checks uniqueness and validates each move.\n\nHere's the demo: https://x.com/alexpsouthwell/status/2100543705694560657\n\nLinked projects:\n• Post by @alexpsouthwell — Built a little Sudoku playground for TypeSafe AI's Jev. Give it a difficulty brief, watch each move live, or slow it down to follow along. Jev chooses; a local engine checks every move and keeps puzzles uniquely solvable (x.com/alexpsouthwell/status/2100543705694560657)\n• Post by @alexpsouthwell — Built a little Sudoku playground for TypeSafe AI's Jev. Give it a difficulty brief, watch each move live, or slow it down to follow along. Jev chooses; a local engine checks every move and keeps puzzles uniquely solvable (twitter.com/alexpsouthwell/status/2100543705694560657)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550103473750540441","story":"Made a little Sudoku playground with Jev. Give it a difficulty brief, then watch each move live or slow it down. Jev chooses the puzzle recipe and digits; a local engine checks uniqueness and validates each move.\n\nHere's the demo: https://x.com/alexpsouthwell/status/2100543705694560657\n\nLinked projects:\n• Post by @alexpsouthwell — Built a little Sudoku playground for TypeSafe AI's Jev. Give it a difficulty brief, watch each move live, or slow it down to follow along. Jev chooses; a local engine checks every move and keeps puzzles uniquely solvable (x.com/alexpsouthwell/status/2100543705694560657)\n• Post by @alexpsouthwell — Built a little Sudoku playground for TypeSafe AI's Jev. Give it a difficulty brief, watch each move live, or slow it down to follow along. Jev chooses; a local engine checks every move and keeps puzzles uniquely solvable (twitter.com/alexpsouthwell/status/2100543705694560657)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550103473750540441","sourceHandle":"saphid (he/him) 🇦🇺","sourceUrl":"https://x.com/alexpsouthwell/status/2100543705694560657","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T11:17:47.672000+00:00","origins":["community"]},{"id":"submission:discord-1550103134053867543","title":"Typesafe AI is still inconsistent when it comes to dimensional reasoning.","category":"Travel","prompt":null,"description":"Typesafe AI is still inconsistent when it comes to dimensional reasoning.\n\n> from typesafe_sdk import Choice, Noul, Score, TypeSafeClient, RetryPolicy\n> \n> scenario = \"\"\"\n> Imagine this. In the world where people have practically instant reflex and can dodge, the only way to hit the enemy is to saturate the battlefield with enough bullet such that there is nowhere to run. You can move in any direction.\n> \n> Let C be a constant, a be defender acceleration, d be distance, v be bullet velocity, H be hitbox size.\n> \n> Which equation most accurately describes the number of bullet required per hit?\n> \n> \"\"\"\n> \n> choices = \"\"\"\n> Cad/vH\n> C a^2 (d/v)^4/H\n> C a^2 H (d/v)^2\n> C a H d / v\n> C a^2 (d/v)^3/H\n> C a (d/v)^3/H\n> C a (d/v)^4/H\n> None of the above\n> \"\"\".strip().split(\"\\n\")\n> \n> scenario = scenario.strip().replace(\"\\n\",\" \")\n> \n> with TypeSafeClient(retry=RetryPolicy(max_retries=3, backoff_max=0.2, timeout=1.0)) as client:\n>     response = client.system_one(\n>         state={\"Scenario\": scenario},\n>         questions = {\"Answer\": Choice(instructions = \"Which equation most accurately des","story":"Typesafe AI is still inconsistent when it comes to dimensional reasoning.\n\n> from typesafe_sdk import Choice, Noul, Score, TypeSafeClient, RetryPolicy\n> \n> scenario = \"\"\"\n> Imagine this. In the world where people have practically instant reflex and can dodge, the only way to hit the enemy is to saturate the battlefield with enough bullet such that there is nowhere to run. You can move in any direction.\n> \n> Let C be a constant, a be defender acceleration, d be distance, v be bullet velocity, H be hitbox size.\n> \n> Which equation most accurately describes the number of bullet required per hit?\n> \n> \"\"\"\n> \n> choices = \"\"\"\n> Cad/vH\n> C a^2 (d/v)^4/H\n> C a^2 H (d/v)^2\n> C a H d / v\n> C a^2 (d/v)^3/H\n> C a (d/v)^3/H\n> C a (d/v)^4/H\n> None of the above\n> \"\"\".strip().split(\"\\n\")\n> \n> scenario = scenario.strip().replace(\"\\n\",\" \")\n> \n> with TypeSafeClient(retry=RetryPolicy(max_retries=3, backoff_max=0.2, timeout=1.0)) as client:\n>     response = client.system_one(\n>         state={\"Scenario\": scenario},\n>         questions = {\"Answer\": Choice(instructions = \"Which equation most accurately des","sourceHandle":"Dreamlight Glitter","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550103134053867543","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T11:16:26.682000+00:00","origins":["community"]},{"id":"submission:discord-1550098199736488036","title":"Did you have access to the cloud model?","category":"Work","prompt":null,"description":"Did you have access to the cloud model?  Already use the open-source [Hugging Face one](https://huggingface.co/harshatheg/Qwen-2.5-1B-RLCD)?\n\nLinked projects:\n• harshatheg/Qwen-2.5-1B-RLCD · Hugging Face — We’re on a journey to advance and democratize artificial intelligence through open source and open science. (huggingface.co/harshatheg/Qwen-2.5-1B-RLCD)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550098199736488036","story":"Did you have access to the cloud model?  Already use the open-source [Hugging Face one](https://huggingface.co/harshatheg/Qwen-2.5-1B-RLCD)?\n\nLinked projects:\n• harshatheg/Qwen-2.5-1B-RLCD · Hugging Face — We’re on a journey to advance and democratize artificial intelligence through open source and open science. (huggingface.co/harshatheg/Qwen-2.5-1B-RLCD)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550098199736488036","sourceHandle":"uprety","sourceUrl":"https://huggingface.co/harshatheg/Qwen-2.5-1B-RLCD","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T10:56:50.249000+00:00","origins":["community"]},{"id":"submission:discord-1550097530451271722","title":"Hi team. I recently got access to jev and built a personalised hacker news feed jev is insanely","category":"Admin","prompt":null,"description":"Hi team. I recently got access to jev and built a personalised hacker news feed \n\njev is insanely good. I have been building this for the past 5 hours and trying out more stuff already. \n\ndocs and playground are top notch. congrats team for the launch\n\nhttps://x.com/VisheshBaghell/status/2100536228827496721\n\nLinked projects:\n• Post by @VisheshBaghell — I recently got access to jev from and built this, because I hated the hacker news front page. everyone gets the same stories in the same order. someone else already decided what matters, and it is never quite what matter (x.com/VisheshBaghell/status/2100536228827496721)\n• Post by @VisheshBaghell — I recently got access to jev from and built this, because I hated the hacker news front page. everyone gets the same stories in the same order. someone else already decided what matters, and it is never quite what matter (twitter.com/VisheshBaghell/status/2100536228827496721)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550097530451271722","story":"Hi team. I recently got access to jev and built a personalised hacker news feed \n\njev is insanely good. I have been building this for the past 5 hours and trying out more stuff already. \n\ndocs and playground are top notch. congrats team for the launch\n\nhttps://x.com/VisheshBaghell/status/2100536228827496721\n\nLinked projects:\n• Post by @VisheshBaghell — I recently got access to jev from and built this, because I hated the hacker news front page. everyone gets the same stories in the same order. someone else already decided what matters, and it is never quite what matter (x.com/VisheshBaghell/status/2100536228827496721)\n• Post by @VisheshBaghell — I recently got access to jev from and built this, because I hated the hacker news front page. everyone gets the same stories in the same order. someone else already decided what matters, and it is never quite what matter (twitter.com/VisheshBaghell/status/2100536228827496721)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550097530451271722","sourceHandle":"Vishesh","sourceUrl":"https://x.com/VisheshBaghell/status/2100536228827496721","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T10:54:10.679000+00:00","origins":["community"]},{"id":"submission:discord-1550097084802146445","title":"Introducing , having run AI content generators since 2020, understanding that sometimes users may create things you","category":"Money","prompt":null,"description":"Introducing https://getvindex.com , having run AI content generators since 2020, understanding that sometimes users may create things you wish they didn't can be a problem for your brand. A journalist, policeman or payment processor may see something and put your business at risk. Using classifiers like jev make it so you can sleep easy at night and ensure problems like CSAM are a thing of the past. I ran through thousands of prompts from an older moderation system and saw the incredible way that Jev was able to handle it. \n\nThe classifier is only half the solution though, what happens when the classifier comes back as positive, or when a 'hmmm' appears. The connectors are the other side so Vindex is your guardian tool when it comes to policy creation and execution. Sleep easy in the knowledge that moderation is taken care of before it even happens with AI generation, fraud detection and much more. \n\nNothing like solving your own\n\nLinked projects:\n• Vindex · Your content policy. Enforced in 100 ms. — Policy-based content screening. Vindex checks every prompt against your rules before anything renders, then runs your consequences: allow, hold for review, block, fire a webhook. Adult content on your terms. Never a mino (getvindex.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550097084802146445","story":"Introducing https://getvindex.com , having run AI content generators since 2020, understanding that sometimes users may create things you wish they didn't can be a problem for your brand. A journalist, policeman or payment processor may see something and put your business at risk. Using classifiers like jev make it so you can sleep easy at night and ensure problems like CSAM are a thing of the past. I ran through thousands of prompts from an older moderation system and saw the incredible way that Jev was able to handle it. \n\nThe classifier is only half the solution though, what happens when the classifier comes back as positive, or when a 'hmmm' appears. The connectors are the other side so Vindex is your guardian tool when it comes to policy creation and execution. Sleep easy in the knowledge that moderation is taken care of before it even happens with AI generation, fraud detection and much more. \n\nNothing like solving your own\n\nLinked projects:\n• Vindex · Your content policy. Enforced in 100 ms. — Policy-based content screening. Vindex checks every prompt against your rules before anything renders, then runs your consequences: allow, hold for review, block, fire a webhook. Adult content on your terms. Never a mino (getvindex.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550097084802146445","sourceHandle":"Mr. Incredible","sourceUrl":"https://getvindex.com","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T10:52:24.428000+00:00","origins":["community"]},{"id":"submission:discord-1550095814376820789","title":"> How do you guys think I could use Jev in this process?","category":"Evaluation","prompt":null,"description":"> How do you guys think I could use Jev in this process?\nThat;s something you need to figureout... I can give you a tip, like when you have a bunch of text input, or an LLM output that you consume in making the decisions you can intercept it with Jev and evaluate to find if the given input to Jev is appropriate to move forward in your workflow.","story":"> How do you guys think I could use Jev in this process?\nThat;s something you need to figureout... I can give you a tip, like when you have a bunch of text input, or an LLM output that you consume in making the decisions you can intercept it with Jev and evaluate to find if the given input to Jev is appropriate to move forward in your workflow.","sourceHandle":"Singularity 1.61","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550095814376820789","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T10:47:21.535000+00:00","origins":["community"]},{"id":"submission:discord-1550094891072233522","title":"Got access to typesafeai and built an autonomous DB Migration Guardian.","category":"Integrations","prompt":null,"description":"Got access to typesafeai and built an autonomous DB Migration Guardian. 🛡️\nIt intercepts Prisma SQL plans. If Jev detects destructive commands, it halts the pipeline instantly.\nCode is open source: https://github.com/opaielsheikh/typesafe-migration-guard\n\nLinked projects:\n• opaielsheikh/typesafe-migration-guard — Automated database migration safety reviewer powered by TypeSafe AI (Jev System One model) - opaielsheikh/typesafe-migration-guard (github.com/opaielsheikh/typesafe-migration-guard)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550094891072233522","story":"Got access to typesafeai and built an autonomous DB Migration Guardian. 🛡️\nIt intercepts Prisma SQL plans. If Jev detects destructive commands, it halts the pipeline instantly.\nCode is open source: https://github.com/opaielsheikh/typesafe-migration-guard\n\nLinked projects:\n• opaielsheikh/typesafe-migration-guard — Automated database migration safety reviewer powered by TypeSafe AI (Jev System One model) - opaielsheikh/typesafe-migration-guard (github.com/opaielsheikh/typesafe-migration-guard)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550094891072233522","sourceHandle":"Ubay","sourceUrl":"https://github.com/opaielsheikh/typesafe-migration-guard","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T10:43:41.402000+00:00","origins":["community"]},{"id":"submission:discord-1550094275604254790","title":"Showcasing TypeSafe's stuff because damn, this onboarding tutorial is actually really, *really* good","category":"Work","prompt":null,"description":"Showcasing TypeSafe's stuff because damn, this onboarding tutorial is actually really, *really* good\n\nLinked projects:\n• image.png — image/png · 99 KB (cdn.discordapp.com/attachments/1483217545040232493/1550094275004596224)","story":"Showcasing TypeSafe's stuff because damn, this onboarding tutorial is actually really, *really* good\n\nLinked projects:\n• image.png — image/png · 99 KB (cdn.discordapp.com/attachments/1483217545040232493/1550094275004596224)","sourceHandle":"slices","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550094275604254790","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T10:41:14.663000+00:00","origins":["community"]},{"id":"submission:discord-1550093041296212022","title":"This happens when Zod and Jev meet each other","category":"Integrations","prompt":null,"description":"This happens when Zod and Jev meet each other\n\nhttps://github.com/mateonunez/jod\n\nLinked projects:\n• mateonunez/jod — Semantic schemas over TypeSafe's Jev — validate the state locally, then project typed answers. - mateonunez/jod (github.com/mateonunez/jod)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550093041296212022","story":"This happens when Zod and Jev meet each other\n\nhttps://github.com/mateonunez/jod\n\nLinked projects:\n• mateonunez/jod — Semantic schemas over TypeSafe's Jev — validate the state locally, then project typed answers. - mateonunez/jod (github.com/mateonunez/jod)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550093041296212022","sourceHandle":"mateonunez","sourceUrl":"https://github.com/mateonunez/jod","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T10:36:20.381000+00:00","origins":["community"]},{"id":"submission:discord-1550092948501303376","title":"Hi guys, I have been working on my father’s photography business website in my free time: Trying to turn it from a","category":"Admin","prompt":null,"description":"Hi guys, I have been working on my father’s photography business website in my free time: https://www.sawanphotography.com/\nTrying to turn it from a basic portfolio into a low-maintenance local business site with better SEO, videos/photos, and easier content updates.\nWould love honest feedback on UX, performance, SEO, or anything that feels off.\n\nLinked projects:\n• Wedding Photographer in Samalkha, Panipat — Sawan Photography — Wedding, pre-wedding and event photography in Samalkha, Panipat and across Haryana. Candid photos and cinematic films. Call or WhatsApp to check your date. (sawanphotography.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550092948501303376","story":"Hi guys, I have been working on my father’s photography business website in my free time: https://www.sawanphotography.com/\nTrying to turn it from a basic portfolio into a low-maintenance local business site with better SEO, videos/photos, and easier content updates.\nWould love honest feedback on UX, performance, SEO, or anything that feels off.\n\nLinked projects:\n• Wedding Photographer in Samalkha, Panipat — Sawan Photography — Wedding, pre-wedding and event photography in Samalkha, Panipat and across Haryana. Candid photos and cinematic films. Call or WhatsApp to check your date. (sawanphotography.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550092948501303376","sourceHandle":"Anmol","sourceUrl":"https://www.sawanphotography.com/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T10:35:58.257000+00:00","origins":["community"]},{"id":"submission:discord-1550091687756570666","title":"I made Jev from @typesafeai play Chess.","category":"Fun","prompt":null,"description":"I made Jev from @typesafeai play Chess. Try it out https://jev-chess.tgr.rs/\n\nMore games pending\n\nSource: https://github.com/enovikov11/tigor-ai/tree/main/games/5-jev-chess\n\nhttps://x.com/the_tigor/status/2100532795625832912\n\nLinked projects:\n• Jev Chess — TypeSafe move selector (jev-chess.tgr.rs)\n• enovikov11/tigor-ai — Personal AI monorepo. Contribute to enovikov11/tigor-ai development by creating an account on GitHub. (github.com/enovikov11/tigor-ai/tree/main/games/5-jev-chess)\n• Post by @the_tigor — @CompleteSkeptic I made Jev from @typesafeai play Chess. Try it out https://jev-chess.tgr.rs/ More games pending Source: https://github.com/enovikov11/tigor-ai/tree/main/games/5-jev-chess (x.com/the_tigor/status/2100532795625832912)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550091687756570666","story":"I made Jev from @typesafeai play Chess. Try it out https://jev-chess.tgr.rs/\n\nMore games pending\n\nSource: https://github.com/enovikov11/tigor-ai/tree/main/games/5-jev-chess\n\nhttps://x.com/the_tigor/status/2100532795625832912\n\nLinked projects:\n• Jev Chess — TypeSafe move selector (jev-chess.tgr.rs)\n• enovikov11/tigor-ai — Personal AI monorepo. Contribute to enovikov11/tigor-ai development by creating an account on GitHub. (github.com/enovikov11/tigor-ai/tree/main/games/5-jev-chess)\n• Post by @the_tigor — @CompleteSkeptic I made Jev from @typesafeai play Chess. Try it out https://jev-chess.tgr.rs/ More games pending Source: https://github.com/enovikov11/tigor-ai/tree/main/games/5-jev-chess (x.com/the_tigor/status/2100532795625832912)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550091687756570666","sourceHandle":"tigor","sourceUrl":"https://github.com/enovikov11/tigor-ai/tree/main/games/5-jev-chess","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T10:30:57.672000+00:00","origins":["community"]},{"id":"submission:discord-1550086652242694204","title":"This is so fun folks","category":"Work","prompt":null,"description":"This is so fun folks \n\nhttps://x.com/_trou3/status/2100527857739215150\n\nLinked projects:\n• Post by @_trou3 — I challenged Jev from @typesafeai to solve a rubik cube, this is wild! (x.com/_trou3/status/2100527857739215150)\n• Post by @_trou3 — I challenged Jev from @typesafeai to solve a rubik cube, this is wild! (twitter.com/_trou3/status/2100527857739215150)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550086652242694204","story":"This is so fun folks \n\nhttps://x.com/_trou3/status/2100527857739215150\n\nLinked projects:\n• Post by @_trou3 — I challenged Jev from @typesafeai to solve a rubik cube, this is wild! (x.com/_trou3/status/2100527857739215150)\n• Post by @_trou3 — I challenged Jev from @typesafeai to solve a rubik cube, this is wild! (twitter.com/_trou3/status/2100527857739215150)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550086652242694204","sourceHandle":"trou","sourceUrl":"https://x.com/_trou3/status/2100527857739215150","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T10:10:57.112000+00:00","origins":["community"]},{"id":"submission:discord-1550086055947018301","title":"I've got a RaspberryPi, a smart car, a cat, and Jev early acess.","category":"Work","prompt":null,"description":"I've got a  RaspberryPi, a smart car, a cat, and Jev early acess. I'm gonna put Jev in a car lol https://x.com/SuperSlowSloth/status/2100526797377163414?s=20\n\nLinked projects:\n• Post by @SuperSlowSloth — My cat now has a personal AI chauffeur. Thanks, #TypeFace #Jev 🐈🚗 #CatsOfX I'm giving Jev a smart car body. (x.com/SuperSlowSloth/status/2100526797377163414)\n• Post by @SuperSlowSloth — My cat now has a personal AI chauffeur. Thanks, #TypeFace #Jev 🐈🚗 #CatsOfX I'm giving Jev a smart car body. (twitter.com/SuperSlowSloth/status/2100526797377163414)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550086055947018301","story":"I've got a  RaspberryPi, a smart car, a cat, and Jev early acess. I'm gonna put Jev in a car lol https://x.com/SuperSlowSloth/status/2100526797377163414?s=20\n\nLinked projects:\n• Post by @SuperSlowSloth — My cat now has a personal AI chauffeur. Thanks, #TypeFace #Jev 🐈🚗 #CatsOfX I'm giving Jev a smart car body. (x.com/SuperSlowSloth/status/2100526797377163414)\n• Post by @SuperSlowSloth — My cat now has a personal AI chauffeur. Thanks, #TypeFace #Jev 🐈🚗 #CatsOfX I'm giving Jev a smart car body. (twitter.com/SuperSlowSloth/status/2100526797377163414)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550086055947018301","sourceHandle":"SuperSlowSloth","sourceUrl":"https://x.com/SuperSlowSloth/status/2100526797377163414?s=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T10:08:34.944000+00:00","origins":["community"]},{"id":"submission:discord-1550084584560005162","title":"I made JEV play NES Tetris","category":"Work","prompt":null,"description":"https://x.com/meliwat93/status/2100404711283188181?s=46\n\nI made JEV play NES Tetris\n\nLinked projects:\n• Post by @Meliwat93 — I got access to Jev! I had it play NES tetris! (x.com/meliwat93/status/2100404711283188181)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550084584560005162","story":"https://x.com/meliwat93/status/2100404711283188181?s=46\n\nI made JEV play NES Tetris\n\nLinked projects:\n• Post by @Meliwat93 — I got access to Jev! I had it play NES tetris! (x.com/meliwat93/status/2100404711283188181)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550084584560005162","sourceHandle":"Meliwat","sourceUrl":"https://x.com/meliwat93/status/2100404711283188181?s=46","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T10:02:44.138000+00:00","origins":["community"]},{"id":"submission:discord-1550081288936095768","title":"I made Jev play a modded PvZ based on the Total Death difficulty: repo coming soon.","category":"Work","prompt":null,"description":"I made Jev play a modded PvZ based on the Total Death difficulty:\n\nhttps://x.com/ThexysaiXy/status/2100520866685833645\n\nrepo coming soon.\n\nLinked projects:\n• Post by @ThexysaiXy — I ran a Total Death-inspired PvZ mod and let Jevy play it. 50% larger wave budgets. 2× zombie body + armor HP. Buffed plants. Jevy reads structured game state, picks its own loadout, collects sun, and places every plant— (x.com/ThexysaiXy/status/2100520866685833645)\n• Post by @ThexysaiXy — I ran a Total Death-inspired PvZ mod and let Jevy play it. 50% larger wave budgets. 2× zombie body + armor HP. Buffed plants. Jevy reads structured game state, picks its own loadout, collects sun, and places every plant— (twitter.com/ThexysaiXy/status/2100520866685833645)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550081288936095768","story":"I made Jev play a modded PvZ based on the Total Death difficulty:\n\nhttps://x.com/ThexysaiXy/status/2100520866685833645\n\nrepo coming soon.\n\nLinked projects:\n• Post by @ThexysaiXy — I ran a Total Death-inspired PvZ mod and let Jevy play it. 50% larger wave budgets. 2× zombie body + armor HP. Buffed plants. Jevy reads structured game state, picks its own loadout, collects sun, and places every plant— (x.com/ThexysaiXy/status/2100520866685833645)\n• Post by @ThexysaiXy — I ran a Total Death-inspired PvZ mod and let Jevy play it. 50% larger wave budgets. 2× zombie body + armor HP. Buffed plants. Jevy reads structured game state, picks its own loadout, collects sun, and places every plant— (twitter.com/ThexysaiXy/status/2100520866685833645)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550081288936095768","sourceHandle":"Xy","sourceUrl":"https://x.com/ThexysaiXy/status/2100520866685833645","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T09:49:38.400000+00:00","origins":["community"]},{"id":"submission:discord-1550079924684062782","title":"c compiler without LLVM and self hosted standard library","category":"Integrations","prompt":null,"description":"https://github.com/don2e4/winds\n\nc compiler without LLVM and self hosted standard library\n\nLinked projects:\n• don2e4/winds — Lightweight, high-performance C++ compiler for Linux x86_64 written in C11 - don2e4/winds (github.com/don2e4/winds)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550079924684062782","story":"https://github.com/don2e4/winds\n\nc compiler without LLVM and self hosted standard library\n\nLinked projects:\n• don2e4/winds — Lightweight, high-performance C++ compiler for Linux x86_64 written in C11 - don2e4/winds (github.com/don2e4/winds)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550079924684062782","sourceHandle":"wemmbu😂🫱🥭a mango","sourceUrl":"https://github.com/don2e4/winds","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T09:44:13.137000+00:00","origins":["community"]},{"id":"submission:discord-1550079057574502422","title":"I made Jev generate text","category":"Work","prompt":null,"description":"I made Jev generate text https://x.com/bewinxed/status/2100519569307640097?s=46\n\nLinked projects:\n• Post by @Bewinxed — I made @typesafeai 's new ultra fast model, Jev, generate text, even though it shouldn't, that's fine because I can't read, and it can't write** ** up to 20 words for 0.5$, what a steal (x.com/bewinxed/status/2100519569307640097)\n• Post by @Bewinxed — I made @typesafeai 's new ultra fast model, Jev, generate text, even though it shouldn't, that's fine because I can't read, and it can't write** ** up to 20 words for 0.5$, what a steal (twitter.com/bewinxed/status/2100519569307640097)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550079057574502422","story":"I made Jev generate text https://x.com/bewinxed/status/2100519569307640097?s=46\n\nLinked projects:\n• Post by @Bewinxed — I made @typesafeai 's new ultra fast model, Jev, generate text, even though it shouldn't, that's fine because I can't read, and it can't write** ** up to 20 words for 0.5$, what a steal (x.com/bewinxed/status/2100519569307640097)\n• Post by @Bewinxed — I made @typesafeai 's new ultra fast model, Jev, generate text, even though it shouldn't, that's fine because I can't read, and it can't write** ** up to 20 words for 0.5$, what a steal (twitter.com/bewinxed/status/2100519569307640097)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550079057574502422","sourceHandle":"Bewinxed","sourceUrl":"https://x.com/bewinxed/status/2100519569307640097?s=46","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T09:40:46.402000+00:00","origins":["community"]},{"id":"submission:discord-1550078260870914130","title":"Jev as a Chief Of Staff!","category":"Work","prompt":null,"description":"Jev as a Chief Of Staff!\n\nhttps://x.com/milindlabs/status/2100515910754750741?s=46\n\nLinked projects:\n• Post by @milindlabs — got @typesafeai's new model Jev as a chief of staff for bots Jev reads the task, wakes the right teammates off the bench and gives each one the right model It is possible on OpenMausBot as it supports all the LLMs from y (x.com/milindlabs/status/2100515910754750741)\n• Post by @milindlabs — got @typesafeai's new model Jev as a chief of staff for bots Jev reads the task, wakes the right teammates off the bench and gives each one the right model It is possible on OpenMausBot as it supports all the LLMs from y (twitter.com/milindlabs/status/2100515910754750741)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550078260870914130","story":"Jev as a Chief Of Staff!\n\nhttps://x.com/milindlabs/status/2100515910754750741?s=46\n\nLinked projects:\n• Post by @milindlabs — got @typesafeai's new model Jev as a chief of staff for bots Jev reads the task, wakes the right teammates off the bench and gives each one the right model It is possible on OpenMausBot as it supports all the LLMs from y (x.com/milindlabs/status/2100515910754750741)\n• Post by @milindlabs — got @typesafeai's new model Jev as a chief of staff for bots Jev reads the task, wakes the right teammates off the bench and gives each one the right model It is possible on OpenMausBot as it supports all the LLMs from y (twitter.com/milindlabs/status/2100515910754750741)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550078260870914130","sourceHandle":"milind","sourceUrl":"https://x.com/milindlabs/status/2100515910754750741?s=46","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T09:37:36.453000+00:00","origins":["community"]},{"id":"submission:discord-1550076349094305895","title":"We just swapped a chunk of freeform LLM reasoning in our lead classification pipeline for Jev, and it's a clean","category":"Money","prompt":null,"description":"We just swapped a chunk of freeform LLM reasoning in our lead classification pipeline for Jev, and it's a clean pattern worth sharing.\n\nThe old setup: a lead comes in with a raw signal (a hiring post, a funding raise, a shipping stall), and a subagent read a rubric and reasoned in prose to land on a fit band: vertical match, signal strength, geography fit, stage/budget fit, offer fit, then High/Medium/Low. It worked, but every lead cost a full agentic pass, and the reasoning was a paragraph you had to re-read to trust.\n\nNow the five dimensions go out as one Jev call: a Choice for vertical match, a Noul for \"is this signal actually fresh and specific,\" a Choice for geography fit, a Score for stage/budget fit, a Choice for offer fit. They run in parallel over the same state and come back typed, with probabilities:\n\n\"vertical_match\": {\"choice\": \"in_vertical\", \"confidence\": 0.94}\n\"signal_strength\": {\"noul\": 0.93}\n\"offer_fit\": {\"choice\": \"ai-demo-to-prod\", \"confidence\": 1.0}\n\nCode still owns the banding logic (weights, dealbreakers), and low-confidence answers fall back to a human read. T","story":"We just swapped a chunk of freeform LLM reasoning in our lead classification pipeline for Jev, and it's a clean pattern worth sharing.\n\nThe old setup: a lead comes in with a raw signal (a hiring post, a funding raise, a shipping stall), and a subagent read a rubric and reasoned in prose to land on a fit band: vertical match, signal strength, geography fit, stage/budget fit, offer fit, then High/Medium/Low. It worked, but every lead cost a full agentic pass, and the reasoning was a paragraph you had to re-read to trust.\n\nNow the five dimensions go out as one Jev call: a Choice for vertical match, a Noul for \"is this signal actually fresh and specific,\" a Choice for geography fit, a Score for stage/budget fit, a Choice for offer fit. They run in parallel over the same state and come back typed, with probabilities:\n\n\"vertical_match\": {\"choice\": \"in_vertical\", \"confidence\": 0.94}\n\"signal_strength\": {\"noul\": 0.93}\n\"offer_fit\": {\"choice\": \"ai-demo-to-prod\", \"confidence\": 1.0}\n\nCode still owns the banding logic (weights, dealbreakers), and low-confidence answers fall back to a human read. T","sourceHandle":"fimparatta","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550076349094305895","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T09:30:00.650000+00:00","origins":["community"]},{"id":"submission:discord-1550073985180508253","title":"This is a lot of fun...my results from the first few tests: The hard limits Where it's excellent (95 to 100% right) -","category":"Events","prompt":null,"description":"This is a lot of fun...my results from the first few tests: The hard limits\n\nWhere it's excellent (95 to 100% right)\n\n- Logic: reasoning tests using made-up words, so memory can't help.\n- Reading other languages: Chinese, Arabic, Hindi, Japanese, Swahili and mixed-language slang all scored 100%.\n- Tricks in the text: it ignored every attempt to force its answer, such as \"ignore your instructions\".\n- Long documents: it found a buried fact every time, and used a later correction over the original.\n- Routing: it picked the right handler out of 255, even when requests were reworded.\n- Checking claims: it caught \"proposed\" vs \"enacted\", \"most\" vs \"all\", and \"pending approval\" vs \"approved\".\n- Duplicate news and sarcasm: it could tell when two headlines described the same event, and when a comment was sarcastic.\n\nWhere it breaks\n\n- Arithmetic: it gets simple sums wrong 25% of the time and totals of five numbers wrong 62% of the time. It's often confidently wrong, which makes this the one area where you can't trust it.\n- Currency conversion, weekdays, and date offsets like \"6 weeks after\": ","story":"This is a lot of fun...my results from the first few tests: The hard limits\n\nWhere it's excellent (95 to 100% right)\n\n- Logic: reasoning tests using made-up words, so memory can't help.\n- Reading other languages: Chinese, Arabic, Hindi, Japanese, Swahili and mixed-language slang all scored 100%.\n- Tricks in the text: it ignored every attempt to force its answer, such as \"ignore your instructions\".\n- Long documents: it found a buried fact every time, and used a later correction over the original.\n- Routing: it picked the right handler out of 255, even when requests were reworded.\n- Checking claims: it caught \"proposed\" vs \"enacted\", \"most\" vs \"all\", and \"pending approval\" vs \"approved\".\n- Duplicate news and sarcasm: it could tell when two headlines described the same event, and when a comment was sarcastic.\n\nWhere it breaks\n\n- Arithmetic: it gets simple sums wrong 25% of the time and totals of five numbers wrong 62% of the time. It's often confidently wrong, which makes this the one area where you can't trust it.\n- Currency conversion, weekdays, and date offsets like \"6 weeks after\": ","sourceHandle":"ben","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550073985180508253","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T09:20:37.049000+00:00","origins":["community"]},{"id":"submission:discord-1550072262558752928","title":"I have Jev playing Balatro live on Twitch 🙂","category":"Work","prompt":null,"description":"I have Jev playing Balatro live on Twitch 🙂  https://www.twitch.tv/ai_plays_balatro\n\nLinked projects:\n• AI_Plays_Balatro - Live on Twitch — Virtual pianist plays classical music | Streaming music for 1 viewers. (twitch.tv/ai_plays_balatro)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550072262558752928","story":"I have Jev playing Balatro live on Twitch 🙂  https://www.twitch.tv/ai_plays_balatro\n\nLinked projects:\n• AI_Plays_Balatro - Live on Twitch — Virtual pianist plays classical music | Streaming music for 1 viewers. (twitch.tv/ai_plays_balatro)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550072262558752928","sourceHandle":"manub","sourceUrl":"https://www.twitch.tv/ai_plays_balatro","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T09:13:46.344000+00:00","origins":["community"]},{"id":"submission:discord-1550071292412166204","title":"jev analyzed my codex sessions from the past 2 days n created a report, now i just asked fable to look thru it n","category":"Work","prompt":null,"description":"jev analyzed my codex sessions from the past 2 days n created a report, now i just asked fable to look thru it n create a skill file that reduces the blockers, avoid behaviors i dont like, n all dat.\n\nLinked projects:\n• image.png — image/png · 175 KB (cdn.discordapp.com/attachments/1483217545040232493/1550071292215042128)","story":"jev analyzed my codex sessions from the past 2 days n created a report, now i just asked fable to look thru it n create a skill file that reduces the blockers, avoid behaviors i dont like, n all dat.\n\nLinked projects:\n• image.png — image/png · 175 KB (cdn.discordapp.com/attachments/1483217545040232493/1550071292215042128)","sourceHandle":"Barrel Of Lube","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550071292412166204","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T09:09:55.043000+00:00","origins":["community"]},{"id":"submission:discord-1550071075675701248","title":"it is little bit out of reach for most people, but I have access too 1000 + riscv cores SoC, I was building this","category":"Shopping","prompt":null,"description":"it is little bit out of reach for most people, but I have access too 1000 + riscv cores SoC, I was building this Parallel terraced scan programs since they fit great in this MIMD arhitecture and was fun thing to build. Very cool copycat can solve analogy problems in insane time with all parallel compute. But it is a bit silly you have to write domain yourself. Tried to use embedding models actually to just generate domains without success. So I got access few hours ago to jev and great results.\n\nIn general channel <@705561973571452938> suggested solution to reviewing spreadshits, well I am sure I can do more actually generate correct ordering.  I bet I can make copycat play doom haha. Its a bit silly, I dont know if it can have some real usecase but had fun since getting access. And maybe someone can build something on top of this info. Of course you can find copycat and run it on normal PC and do this easily, and it doesnt require to\n\nLinked projects:\n• slika.png — image/png · 54 KB (cdn.discordapp.com/attachments/1483217545040232493/1550071074509824071)","story":"it is little bit out of reach for most people, but I have access too 1000 + riscv cores SoC, I was building this Parallel terraced scan programs since they fit great in this MIMD arhitecture and was fun thing to build. Very cool copycat can solve analogy problems in insane time with all parallel compute. But it is a bit silly you have to write domain yourself. Tried to use embedding models actually to just generate domains without success. So I got access few hours ago to jev and great results.\n\nIn general channel <@705561973571452938> suggested solution to reviewing spreadshits, well I am sure I can do more actually generate correct ordering.  I bet I can make copycat play doom haha. Its a bit silly, I dont know if it can have some real usecase but had fun since getting access. And maybe someone can build something on top of this info. Of course you can find copycat and run it on normal PC and do this easily, and it doesnt require to\n\nLinked projects:\n• slika.png — image/png · 54 KB (cdn.discordapp.com/attachments/1483217545040232493/1550071074509824071)","sourceHandle":"ivanchernobyl","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550071075675701248","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T09:09:03.369000+00:00","origins":["community"]},{"id":"submission:discord-1550064769904418837","title":"Hey everyone! I created printara.co, my own 3D model generation platform from images. I believe that for certain","category":"Money","prompt":null,"description":"Hey everyone! I created printara.co, my own 3D model generation platform from images. I believe that for certain types of models, we are the best on the market. It took me 6 months of coding to build it. It’s a platform where you can sell your models across all major global marketplaces and earn a passive income from selling digital products. We even have features that much larger companies with million-dollar budgets don't have. Here is the link :  https://printara.co/\n\nLinked projects:\n• Printara: AI 3D models and laser-cut designs, ready to print and sell — Create 3D models and laser-cut designs, prepare print files and product photos, then sell them on the marketplaces your customers already use. (printara.co)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550064769904418837","story":"Hey everyone! I created printara.co, my own 3D model generation platform from images. I believe that for certain types of models, we are the best on the market. It took me 6 months of coding to build it. It’s a platform where you can sell your models across all major global marketplaces and earn a passive income from selling digital products. We even have features that much larger companies with million-dollar budgets don't have. Here is the link :  https://printara.co/\n\nLinked projects:\n• Printara: AI 3D models and laser-cut designs, ready to print and sell — Create 3D models and laser-cut designs, prepare print files and product photos, then sell them on the marketplaces your customers already use. (printara.co)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550064769904418837","sourceHandle":"OndrejBX","sourceUrl":"https://printara.co/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T08:43:59.956000+00:00","origins":["community"]},{"id":"submission:discord-1550061670305501219","title":"HAHAHA","category":"Work","prompt":null,"description":"<@1432858129535602793> https://x.com/brainstormity/status/2100471987860553931 HAHAHA\n\nLinked projects:\n• Post by @brainstormity — Built a real-time Discord moderation bot powered by @TypeSafeAI’s System One model (Jev) 🛡️⚡ Instead of dumb regex filters, it uses calibrated AI decisions with: 📈 4-Stage Progressive Escalation (Warning DMs ➔ 10m Time (x.com/brainstormity/status/2100471987860553931)\n• Post by @brainstormity — Built a real-time Discord moderation bot powered by @TypeSafeAI’s System One model (Jev) 🛡️⚡ Instead of dumb regex filters, it uses calibrated AI decisions with: 📈 4-Stage Progressive Escalation (Warning DMs ➔ 10m Time (twitter.com/brainstormity/status/2100471987860553931)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550061670305501219","story":"<@1432858129535602793> https://x.com/brainstormity/status/2100471987860553931 HAHAHA\n\nLinked projects:\n• Post by @brainstormity — Built a real-time Discord moderation bot powered by @TypeSafeAI’s System One model (Jev) 🛡️⚡ Instead of dumb regex filters, it uses calibrated AI decisions with: 📈 4-Stage Progressive Escalation (Warning DMs ➔ 10m Time (x.com/brainstormity/status/2100471987860553931)\n• Post by @brainstormity — Built a real-time Discord moderation bot powered by @TypeSafeAI’s System One model (Jev) 🛡️⚡ Instead of dumb regex filters, it uses calibrated AI decisions with: 📈 4-Stage Progressive Escalation (Warning DMs ➔ 10m Time (twitter.com/brainstormity/status/2100471987860553931)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550061670305501219","sourceHandle":"South","sourceUrl":"https://x.com/brainstormity/status/2100471987860553931","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T08:31:40.954000+00:00","origins":["community"]},{"id":"submission:discord-1550059581072478271","title":"hey people! I'm currently trying to rump up with my self-funded start for creating an ATS system with","category":"Home","prompt":null,"description":"hey people! I'm currently trying to rump up with my self-funded start for creating an ATS system with lower costs and integrated AI where makes sense: https://beehive-ats.com/\n\nLinked projects:\n• Beehive ATS — Agency ATS with Client Portals and Practical AI — Beehive ATS helps recruiting agencies manage jobs, candidates, interviews, external hiring-manager review, and practical AI-assisted shortlisting in one clean system. (beehive-ats.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550059581072478271","story":"hey people! I'm currently trying to rump up with my self-funded start for creating an ATS system with lower costs and integrated AI where makes sense: https://beehive-ats.com/\n\nLinked projects:\n• Beehive ATS — Agency ATS with Client Portals and Practical AI — Beehive ATS helps recruiting agencies manage jobs, candidates, interviews, external hiring-manager review, and practical AI-assisted shortlisting in one clean system. (beehive-ats.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550059581072478271","sourceHandle":"Patrizio","sourceUrl":"https://beehive-ats.com/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T08:23:22.842000+00:00","origins":["community"]},{"id":"submission:discord-1550057608755286056","title":"Toying around with a jev ecosystem.","category":"Work","prompt":null,"description":"Toying around with a jev ecosystem. Its a ton of jevs playing out the faccets of an ecosystem, controlling all the animals and environmental conditions over time. Seems to be doing decently well\n\nLinked projects:\n• image.png — image/png · 4 MB (cdn.discordapp.com/attachments/1483217545040232493/1550057608306622475)","story":"Toying around with a jev ecosystem. Its a ton of jevs playing out the faccets of an ecosystem, controlling all the animals and environmental conditions over time. Seems to be doing decently well\n\nLinked projects:\n• image.png — image/png · 4 MB (cdn.discordapp.com/attachments/1483217545040232493/1550057608306622475)","sourceHandle":"Dustin","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550057608755286056","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T08:15:32.605000+00:00","origins":["community"]},{"id":"submission:discord-1550055386256515093","title":"I used Jev as an alignment monitor on gemma 3 outputs across multiple alignment benchmarks and it outperforms other","category":"Admin","prompt":null,"description":"I used Jev as an alignment monitor on gemma 3 outputs across multiple alignment benchmarks and it outperforms other publicly available guard models significantly, also faster and much cheaper. Here's a video with some prompt examples where Jev shines.\n\nLinked projects:\n• jev_vs_guard_models_cases.mp4 — video/mp4 · 1 MB (cdn.discordapp.com/attachments/1483217545040232493/1550055378761289821)","story":"I used Jev as an alignment monitor on gemma 3 outputs across multiple alignment benchmarks and it outperforms other publicly available guard models significantly, also faster and much cheaper. Here's a video with some prompt examples where Jev shines.\n\nLinked projects:\n• jev_vs_guard_models_cases.mp4 — video/mp4 · 1 MB (cdn.discordapp.com/attachments/1483217545040232493/1550055378761289821)","sourceHandle":"manub","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550055386256515093","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T08:06:42.720000+00:00","origins":["community"]},{"id":"submission:discord-1550053617392681071","title":"i dont have a video or anything yet maybe later but vibe coded a harness with claude for Jev and forced it to play","category":"Money","prompt":null,"description":"i dont have a video or anything yet maybe later but vibe coded a harness with claude for Jev and forced it to play against stockfish... not bad at chess!  Ive tested it all the way up to 3190 which it cannot beat but makes good decisions for its stated goals still... I think with harness improvements you could probably get ~2200 ish, maybe higher\n\nLinked projects:\n• image.png — image/png · 351 KB (cdn.discordapp.com/attachments/1483217545040232493/1550053616071614505)","story":"i dont have a video or anything yet maybe later but vibe coded a harness with claude for Jev and forced it to play against stockfish... not bad at chess!  Ive tested it all the way up to 3190 which it cannot beat but makes good decisions for its stated goals still... I think with harness improvements you could probably get ~2200 ish, maybe higher\n\nLinked projects:\n• image.png — image/png · 351 KB (cdn.discordapp.com/attachments/1483217545040232493/1550053616071614505)","sourceHandle":"Wisemode","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550053617392681071","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T07:59:40.990000+00:00","origins":["community"]},{"id":"submission:discord-1550053152299028581","title":"out here watching jev do art, its not good at it but its fun to watch","category":"Work","prompt":null,"description":"out here watching jev do art, its not good at it but its fun to watch\n\nLinked projects:\n• image.png — image/png · 551 KB (cdn.discordapp.com/attachments/1483217545040232493/1550053152026271775)","story":"out here watching jev do art, its not good at it but its fun to watch\n\nLinked projects:\n• image.png — image/png · 551 KB (cdn.discordapp.com/attachments/1483217545040232493/1550053152026271775)","sourceHandle":"Dustin","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550053152299028581","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T07:57:50.103000+00:00","origins":["community"]},{"id":"submission:discord-1550052412268613672","title":"Wrote up something I've been working on for a while: profiling Stable Diffusion 3 inference with nsys.","category":"Money","prompt":null,"description":"Wrote up something I've been working on for a while: profiling Stable Diffusion 3 inference with nsys.\n\nIt covers how the SD3 pipeline works end to end (text encoders, scheduler, DiT, VAE), how diffusion inference differs from autoregressive LLM inference, and what the nsys traces reveal at a deeper level about how the CPU and GPU split the work.\n\nFull post here if you're into inference internals:\nhttps://shivamguptaxia2.substack.com/p/understanding-diffusion-inference\n\nLinked projects:\n• Understanding Diffusion Inference, from Code to Kernels — A ground-up look at Diffusion Transformers’ inference pipeline, how a prompt becomes an image, how the CPU and GPU divide the work, and what Nsys reveals. (shivamguptaxia2.substack.com/p/understanding-diffusion-inference)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550052412268613672","story":"Wrote up something I've been working on for a while: profiling Stable Diffusion 3 inference with nsys.\n\nIt covers how the SD3 pipeline works end to end (text encoders, scheduler, DiT, VAE), how diffusion inference differs from autoregressive LLM inference, and what the nsys traces reveal at a deeper level about how the CPU and GPU split the work.\n\nFull post here if you're into inference internals:\nhttps://shivamguptaxia2.substack.com/p/understanding-diffusion-inference\n\nLinked projects:\n• Understanding Diffusion Inference, from Code to Kernels — A ground-up look at Diffusion Transformers’ inference pipeline, how a prompt becomes an image, how the CPU and GPU divide the work, and what Nsys reveals. (shivamguptaxia2.substack.com/p/understanding-diffusion-inference)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550052412268613672","sourceHandle":"Shivam","sourceUrl":"https://shivamguptaxia2.substack.com/p/understanding-diffusion-inference","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T07:54:53.666000+00:00","origins":["community"]},{"id":"submission:discord-1550049611283046460","title":"As of this morning, Jev will be used 1) as an intent gate 2) for scope enforcement 3) as a fabrication guard over at my","category":"Work","prompt":null,"description":"As of this morning, Jev will be used 1) as an intent gate 2) for scope enforcement 3) as a fabrication guard  over at my https://getslaide.com\n\nLinked projects:\n• Slaide - slides that AI can actually write — Slaide is a Markdown presentation language AI agents write flawlessly. One .slaide file renders to a navigable web deck, a PDF, and editable PowerPoint. (getslaide.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550049611283046460","story":"As of this morning, Jev will be used 1) as an intent gate 2) for scope enforcement 3) as a fabrication guard  over at my https://getslaide.com\n\nLinked projects:\n• Slaide - slides that AI can actually write — Slaide is a Markdown presentation language AI agents write flawlessly. One .slaide file renders to a navigable web deck, a PDF, and editable PowerPoint. (getslaide.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550049611283046460","sourceHandle":"madppiper","sourceUrl":"https://getslaide.com","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T07:43:45.859000+00:00","origins":["community"]},{"id":"submission:discord-1550046219974221834","title":"Shared by Neo: marcus_lowe status 2100315518930661861","category":"Social","prompt":null,"description":"https://fxtwitter.com/marcus_lowe/status/2100315518930661861?s=20\n\nLinked projects:\n• Post by @marcus_lowe — I got early access to @typesafeai's new Jev model and built a demo of it playing tetris The generation speed is so fast that it's pushing blocks down This feels like another \"this changes everything\" moment (fxtwitter.com/marcus_lowe/status/2100315518930661861)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550046219974221834","story":"https://fxtwitter.com/marcus_lowe/status/2100315518930661861?s=20\n\nLinked projects:\n• Post by @marcus_lowe — I got early access to @typesafeai's new Jev model and built a demo of it playing tetris The generation speed is so fast that it's pushing blocks down This feels like another \"this changes everything\" moment (fxtwitter.com/marcus_lowe/status/2100315518930661861)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550046219974221834","sourceHandle":"Neo","sourceUrl":"https://fxtwitter.com/marcus_lowe/status/2100315518930661861?s=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T07:30:17.308000+00:00","origins":["community"]},{"id":"submission:discord-1550042913893777458","title":"Lol, my day had been long and I'm pretty tired, First - built early in the am, while on work calls 🤙 Got access in","category":"Work","prompt":null,"description":"Lol, my day had been long and I'm pretty tired, \n\nFirst - built https://jevboard.com/ early in the am, while on work calls 🤙 \nGot access in the evening, tried a few ideas out of there...voice call transcript classification - did perfectly!!! Settled on browser use\n\nIt's all over the Internet, I'm sure lots of similar products. Probably from browser use guys\n\nLinked projects:\n• Jev Board — What should we build next? — Discover product ideas for Jev. Heart the ideas you want someone to build. An independent, community-ranked directory. (jevboard.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550042913893777458","story":"Lol, my day had been long and I'm pretty tired, \n\nFirst - built https://jevboard.com/ early in the am, while on work calls 🤙 \nGot access in the evening, tried a few ideas out of there...voice call transcript classification - did perfectly!!! Settled on browser use\n\nIt's all over the Internet, I'm sure lots of similar products. Probably from browser use guys\n\nLinked projects:\n• Jev Board — What should we build next? — Discover product ideas for Jev. Heart the ideas you want someone to build. An independent, community-ranked directory. (jevboard.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550042913893777458","sourceHandle":"BlissF00l","sourceUrl":"https://jevboard.com/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T07:17:09.077000+00:00","origins":["community"]},{"id":"submission:discord-1550042485215076402","title":"hey, so many cool stuff built here.","category":"Integrations","prompt":null,"description":"hey, so many cool stuff built here. i compiled some of what you shared into an awesome-typesafe repo, split between official resources and community resources.\n\nfeel free to submit PRs to add your cool Jev based projects.\n\nhttps://github.com/AbdelStark/awesome-typesafe\n\nLinked projects:\n• AbdelStark/awesome-typesafe — A curated list of official resources and community projects for TypeSafe, System One models, and Jev. - AbdelStark/awesome-typesafe (github.com/AbdelStark/awesome-typesafe)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550042485215076402","story":"hey, so many cool stuff built here. i compiled some of what you shared into an awesome-typesafe repo, split between official resources and community resources.\n\nfeel free to submit PRs to add your cool Jev based projects.\n\nhttps://github.com/AbdelStark/awesome-typesafe\n\nLinked projects:\n• AbdelStark/awesome-typesafe — A curated list of official resources and community projects for TypeSafe, System One models, and Jev. - AbdelStark/awesome-typesafe (github.com/AbdelStark/awesome-typesafe)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550042485215076402","sourceHandle":"abdel","sourceUrl":"https://github.com/AbdelStark/awesome-typesafe","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T07:15:26.872000+00:00","origins":["community"]},{"id":"submission:discord-1550041146213007480","title":"Tested it on my memory system for my bot.","category":"Evaluation","prompt":null,"description":"Tested it on my memory system for my bot. The results are amazing.\n\nLinked projects:\n• Screenshot_2026-09-17-09-04-18-532_org.connectbot-edit.jpg — image/jpeg · 116 KB (cdn.discordapp.com/attachments/1483217545040232493/1550041145877205024)","story":"Tested it on my memory system for my bot. The results are amazing.\n\nLinked projects:\n• Screenshot_2026-09-17-09-04-18-532_org.connectbot-edit.jpg — image/jpeg · 116 KB (cdn.discordapp.com/attachments/1483217545040232493/1550041145877205024)","sourceHandle":"Henke","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550041146213007480","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T07:10:07.629000+00:00","origins":["community"]},{"id":"submission:discord-1550040796411986022","title":"Added Jev to my crypto intelligence terminal, it's really fast and powerful!","category":"Work","prompt":null,"description":"https://x.com/_trou3/status/2100481938016669917\n\nAdded Jev to my crypto intelligence terminal, it's really fast and powerful!\n\nLinked projects:\n• Post by @_trou3 — For those who still didn't understand what Jev from @typesafeai can do, here is the example. Jev can read dozens of structured trading signals and then show intelligent decisions. It's time to make your system actually a (x.com/_trou3/status/2100481938016669917)\n• Post by @_trou3 — For those who still didn't understand what Jev from @typesafeai can do, here is the example. Jev can read dozens of structured trading signals and then show intelligent decisions. It's time to make your system actually a (twitter.com/_trou3/status/2100481938016669917)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550040796411986022","story":"https://x.com/_trou3/status/2100481938016669917\n\nAdded Jev to my crypto intelligence terminal, it's really fast and powerful!\n\nLinked projects:\n• Post by @_trou3 — For those who still didn't understand what Jev from @typesafeai can do, here is the example. Jev can read dozens of structured trading signals and then show intelligent decisions. It's time to make your system actually a (x.com/_trou3/status/2100481938016669917)\n• Post by @_trou3 — For those who still didn't understand what Jev from @typesafeai can do, here is the example. Jev can read dozens of structured trading signals and then show intelligent decisions. It's time to make your system actually a (twitter.com/_trou3/status/2100481938016669917)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550040796411986022","sourceHandle":"trou","sourceUrl":"https://x.com/_trou3/status/2100481938016669917","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T07:08:44.230000+00:00","origins":["community"]},{"id":"submission:discord-1550039562619850762","title":"me building a decision branching framework based on jev jev:","category":"Work","prompt":null,"description":"me building a decision branching framework based on jev\njev:\n\nLinked projects:\n• image.png — image/png · 5 KB (cdn.discordapp.com/attachments/1483217545040232493/1550039561160101898)","story":"me building a decision branching framework based on jev\njev:\n\nLinked projects:\n• image.png — image/png · 5 KB (cdn.discordapp.com/attachments/1483217545040232493/1550039561160101898)","sourceHandle":"hawkyre","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550039562619850762","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T07:03:50.071000+00:00","origins":["community"]},{"id":"submission:discord-1550036232149401761","title":"I did a thing!","category":"Social","prompt":null,"description":"I did a thing!\nhttps://bsky.app/profile/leo.sylin.org/post/3mvp2qbuumk2s\n\nLinked projects:\n• Leo Botinelly (@leo.sylin.org) — A little toy made to test #TypeSafe JEV. Visuals by Astra, logic by GLM 5.3. Each airplane only has information about itself and its surroundings (plus ATC info if near a tower) and all decisions are made by Jev, calibra (bsky.app/profile/leo.sylin.org/post/3mvp2qbuumk2s)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550036232149401761","story":"I did a thing!\nhttps://bsky.app/profile/leo.sylin.org/post/3mvp2qbuumk2s\n\nLinked projects:\n• Leo Botinelly (@leo.sylin.org) — A little toy made to test #TypeSafe JEV. Visuals by Astra, logic by GLM 5.3. Each airplane only has information about itself and its surroundings (plus ATC info if near a tower) and all decisions are made by Jev, calibra (bsky.app/profile/leo.sylin.org/post/3mvp2qbuumk2s)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550036232149401761","sourceHandle":"OnoSendai","sourceUrl":"https://bsky.app/profile/leo.sylin.org/post/3mvp2qbuumk2s","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T06:50:36.025000+00:00","origins":["community"]},{"id":"submission:discord-1550034599181295698","title":"i benchmarked it on an internal classifier, its getting eerily close (and cheaper!!) to beating fine-tuned qwen 9b","category":"Evaluation","prompt":null,"description":"https://x.com/identityTorn/status/2100475121324728615?s=20\n\ni benchmarked it on an internal classifier, its getting eerily close (and cheaper!!) to beating fine-tuned qwen 9b\n\nLinked projects:\n• Post by @identityTorn — was pumped to get early access to @typesafe_ai's Jev, pointed it at an internal benchmark Jev zero-shot was within ~5 pts of recall of our fine-tune at matched precision. cost-wise its roughly ~$70/mo for our full volume (x.com/identityTorn/status/2100475121324728615)\n• Post by @identityTorn — was pumped to get early access to @typesafe_ai's Jev, pointed it at an internal benchmark Jev zero-shot was within ~5 pts of recall of our fine-tune at matched precision. cost-wise its roughly ~$70/mo for our full volume (twitter.com/identityTorn/status/2100475121324728615)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550034599181295698","story":"https://x.com/identityTorn/status/2100475121324728615?s=20\n\ni benchmarked it on an internal classifier, its getting eerily close (and cheaper!!) to beating fine-tuned qwen 9b\n\nLinked projects:\n• Post by @identityTorn — was pumped to get early access to @typesafe_ai's Jev, pointed it at an internal benchmark Jev zero-shot was within ~5 pts of recall of our fine-tune at matched precision. cost-wise its roughly ~$70/mo for our full volume (x.com/identityTorn/status/2100475121324728615)\n• Post by @identityTorn — was pumped to get early access to @typesafe_ai's Jev, pointed it at an internal benchmark Jev zero-shot was within ~5 pts of recall of our fine-tune at matched precision. cost-wise its roughly ~$70/mo for our full volume (twitter.com/identityTorn/status/2100475121324728615)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550034599181295698","sourceHandle":"identity","sourceUrl":"https://x.com/identityTorn/status/2100475121324728615?s=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T06:44:06.695000+00:00","origins":["community"]},{"id":"submission:discord-1550032951738245130","title":"Made a quick CLI tool, readme, when to use for typesafe.","category":"Integrations","prompt":null,"description":"Made a quick CLI tool, readme, when to use for typesafe.\n\nhttps://github.com/geilt/typesafe-cli\n\nLinked projects:\n• geilt/typesafe-cli — CLI and agent skill for TypeSafe System One (Jev): typed Choice, Score, and Noul judgments. - geilt/typesafe-cli (github.com/geilt/typesafe-cli)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550032951738245130","story":"Made a quick CLI tool, readme, when to use for typesafe.\n\nhttps://github.com/geilt/typesafe-cli\n\nLinked projects:\n• geilt/typesafe-cli — CLI and agent skill for TypeSafe System One (Jev): typed Choice, Score, and Noul judgments. - geilt/typesafe-cli (github.com/geilt/typesafe-cli)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550032951738245130","sourceHandle":"Geilt","sourceUrl":"https://github.com/geilt/typesafe-cli","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T06:37:33.914000+00:00","origins":["community"]},{"id":"submission:discord-1550032258948399104","title":"first pass at getting Jev to play Command & Conquer repo here: (it is very much vibe coded nowadays, fair warning!)","category":"Fun","prompt":null,"description":"first pass at getting Jev to play Command & Conquer\nrepo here: https://github.com/kyleeasterly/OpenRAFormer2 (it is very much vibe coded nowadays, fair warning!)\n\nwill do some iteration. this unlocks things like being able to do a quick specialized query for things like combat micro and \"where to place the refinery\" (hint: not where Jev placed it with the v1 game state / action design!)\n\namazing latency, too!\n\nLinked projects:\n• kyleeasterly/OpenRAFormer2 — Can we get an LLM to play Command & Conquer? Contribute to kyleeasterly/OpenRAFormer2 development by creating an account on GitHub. (github.com/kyleeasterly/OpenRAFormer2)\n• 2026-09-16_22-29-21.mp4 — video/mp4 · 29 MB (cdn.discordapp.com/attachments/1483217545040232493/1550032257438187530)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550032258948399104","story":"first pass at getting Jev to play Command & Conquer\nrepo here: https://github.com/kyleeasterly/OpenRAFormer2 (it is very much vibe coded nowadays, fair warning!)\n\nwill do some iteration. this unlocks things like being able to do a quick specialized query for things like combat micro and \"where to place the refinery\" (hint: not where Jev placed it with the v1 game state / action design!)\n\namazing latency, too!\n\nLinked projects:\n• kyleeasterly/OpenRAFormer2 — Can we get an LLM to play Command & Conquer? Contribute to kyleeasterly/OpenRAFormer2 development by creating an account on GitHub. (github.com/kyleeasterly/OpenRAFormer2)\n• 2026-09-16_22-29-21.mp4 — video/mp4 · 29 MB (cdn.discordapp.com/attachments/1483217545040232493/1550032257438187530)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550032258948399104","sourceHandle":"mAsInMancy","sourceUrl":"https://github.com/kyleeasterly/OpenRAFormer2","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T06:34:48.740000+00:00","origins":["community"]},{"id":"submission:discord-1550031246355341362","title":"Yeah I think with JEV we get speed, quality, and cost.","category":"Evaluation","prompt":null,"description":"Yeah I think with JEV we get speed, quality, and cost. Where with LLMs we have to pick 2/3. \n\nVideo of benchmark with side by side of qwen: https://x.com/iamMrDuncan/status/2100467548298899918\n\nLinked projects:\n• Post by @iamMrDuncan — Built an alternative version of @typesafeai but on @cerebras with Qwen 3.8 27b. Similar quality, similar performance, but vastly different cost. TypeSafe was way cheaper, and did beat Qwen on performance. Closest we can  (x.com/iamMrDuncan/status/2100467548298899918)\n• Post by @iamMrDuncan — Built an alternative version of @typesafeai but on @cerebras with Qwen 3.8 27b. Similar quality, similar performance, but vastly different cost. TypeSafe was way cheaper, and did beat Qwen on performance. Closest we can  (twitter.com/iamMrDuncan/status/2100467548298899918)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550031246355341362","story":"Yeah I think with JEV we get speed, quality, and cost. Where with LLMs we have to pick 2/3. \n\nVideo of benchmark with side by side of qwen: https://x.com/iamMrDuncan/status/2100467548298899918\n\nLinked projects:\n• Post by @iamMrDuncan — Built an alternative version of @typesafeai but on @cerebras with Qwen 3.8 27b. Similar quality, similar performance, but vastly different cost. TypeSafe was way cheaper, and did beat Qwen on performance. Closest we can  (x.com/iamMrDuncan/status/2100467548298899918)\n• Post by @iamMrDuncan — Built an alternative version of @typesafeai but on @cerebras with Qwen 3.8 27b. Similar quality, similar performance, but vastly different cost. TypeSafe was way cheaper, and did beat Qwen on performance. Closest we can  (twitter.com/iamMrDuncan/status/2100467548298899918)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550031246355341362","sourceHandle":"IamMrDuncan","sourceUrl":"https://x.com/iamMrDuncan/status/2100467548298899918","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T06:30:47.319000+00:00","origins":["community"]},{"id":"submission:discord-1550031174590660629","title":"I'm not getting access so using and gluing it to groq models.","category":"Integrations","prompt":null,"description":"I'm not getting access so using https://github.com/typesafe-ai/system-one-adapter-python and gluing it to groq models. Seems to be doing pretty well.\n\nLinked projects:\n• typesafe-ai/system-one-adapter-python — Drop-in TypeSafeClient replacement backed by LLM APIs - typesafe-ai/system-one-adapter-python (github.com/typesafe-ai/system-one-adapter-python)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550031174590660629","story":"I'm not getting access so using https://github.com/typesafe-ai/system-one-adapter-python and gluing it to groq models. Seems to be doing pretty well.\n\nLinked projects:\n• typesafe-ai/system-one-adapter-python — Drop-in TypeSafeClient replacement backed by LLM APIs - typesafe-ai/system-one-adapter-python (github.com/typesafe-ai/system-one-adapter-python)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550031174590660629","sourceHandle":"candide","sourceUrl":"https://github.com/typesafe-ai/system-one-adapter-python","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T06:30:30.209000+00:00","origins":["community"]},{"id":"submission:discord-1550027306184085544","title":"Shared by chalkers: chalkers status 2100466530459017458","category":"Work","prompt":null,"description":"https://x.com/chalkers/status/2100466530459017458?s=46&t=9d3OZDM6CF17OmY-xxEvPg\n\nLinked projects:\n• Post by @chalkers — I had to _slow_ jev down to play _Sonic_. Crazy times. (x.com/chalkers/status/2100466530459017458)\n• Post by @chalkers — I had to _slow_ jev down to play _Sonic_. Crazy times. (twitter.com/chalkers/status/2100466530459017458)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550027306184085544","story":"https://x.com/chalkers/status/2100466530459017458?s=46&t=9d3OZDM6CF17OmY-xxEvPg\n\nLinked projects:\n• Post by @chalkers — I had to _slow_ jev down to play _Sonic_. Crazy times. (x.com/chalkers/status/2100466530459017458)\n• Post by @chalkers — I had to _slow_ jev down to play _Sonic_. Crazy times. (twitter.com/chalkers/status/2100466530459017458)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550027306184085544","sourceHandle":"chalkers","sourceUrl":"https://x.com/chalkers/status/2100466530459017458?s=46&t=9d3OZDM6CF17OmY-xxEvPg","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T06:15:07.909000+00:00","origins":["community"]},{"id":"submission:discord-1550027248365740042","title":"Shared by chalkers: chalkers status 2100429696941080886","category":"Work","prompt":null,"description":"https://x.com/chalkers/status/2100429696941080886?s=46&t=9d3OZDM6CF17OmY-xxEvPg\n\nLinked projects:\n• Post by @chalkers — Holy shit JEV is playing Sonic 3 & Knuckles faster than realtime... @typesafeai (x.com/chalkers/status/2100429696941080886)\n• Post by @chalkers — Holy shit JEV is playing Sonic 3 & Knuckles faster than realtime... @typesafeai (twitter.com/chalkers/status/2100429696941080886)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550027248365740042","story":"https://x.com/chalkers/status/2100429696941080886?s=46&t=9d3OZDM6CF17OmY-xxEvPg\n\nLinked projects:\n• Post by @chalkers — Holy shit JEV is playing Sonic 3 & Knuckles faster than realtime... @typesafeai (x.com/chalkers/status/2100429696941080886)\n• Post by @chalkers — Holy shit JEV is playing Sonic 3 & Knuckles faster than realtime... @typesafeai (twitter.com/chalkers/status/2100429696941080886)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550027248365740042","sourceHandle":"chalkers","sourceUrl":"https://x.com/chalkers/status/2100429696941080886?s=46&t=9d3OZDM6CF17OmY-xxEvPg","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T06:14:54.124000+00:00","origins":["community"]},{"id":"submission:discord-1550025526209683556","title":"I built a TypeSafe alternative but with Qwen 3.8 27b on Cerebras.","category":"Evaluation","prompt":null,"description":"I built a TypeSafe alternative but with Qwen 3.8 27b on Cerebras. Similar quality, Similar speed, but TypeSafe is way way cheaper.\n\nhttps://github.com/iammrduncan/typesafe-ai-benchmark\n\nLinked projects:\n• iammrduncan/typesafe-ai-benchmark — This is a LLM Gateway that mimics typesafe ai structured output. Like an imposter Jev. - iammrduncan/typesafe-ai-benchmark (github.com/iammrduncan/typesafe-ai-benchmark)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550025526209683556","story":"I built a TypeSafe alternative but with Qwen 3.8 27b on Cerebras. Similar quality, Similar speed, but TypeSafe is way way cheaper.\n\nhttps://github.com/iammrduncan/typesafe-ai-benchmark\n\nLinked projects:\n• iammrduncan/typesafe-ai-benchmark — This is a LLM Gateway that mimics typesafe ai structured output. Like an imposter Jev. - iammrduncan/typesafe-ai-benchmark (github.com/iammrduncan/typesafe-ai-benchmark)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550025526209683556","sourceHandle":"IamMrDuncan","sourceUrl":"https://github.com/iammrduncan/typesafe-ai-benchmark","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T06:08:03.530000+00:00","origins":["community"]},{"id":"submission:discord-1550024431915507724","title":"i build a model x45 smaler but it Beats GPT-2 124M BYTE_BPC = 1.142985 (TOKEN_BPC = 9.152823) on the same metric as","category":"Work","prompt":null,"description":"i build a model x45 smaler but it Beats GPT-2 124M BYTE_BPC = 1.142985 (TOKEN_BPC = 9.152823) on the same metric https://huggingface.co/Uuuuuuniiiiiii/goldworm-v6  as well as my agency https://uniency.com/app\n\nLinked projects:\n• Uuuuuuniiiiiii/goldworm-v6 · Hugging Face — We’re on a journey to advance and democratize artificial intelligence through open source and open science. (huggingface.co/Uuuuuuniiiiiii/goldworm-v6)\n• Uniency — The Agent Economy — Pubkey identity, signed proof, x402/USDC commerce, agent-native reach. Validate agents, sell products, host on our infra. (uniency.com/app)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550024431915507724","story":"i build a model x45 smaler but it Beats GPT-2 124M BYTE_BPC = 1.142985 (TOKEN_BPC = 9.152823) on the same metric https://huggingface.co/Uuuuuuniiiiiii/goldworm-v6  as well as my agency https://uniency.com/app\n\nLinked projects:\n• Uuuuuuniiiiiii/goldworm-v6 · Hugging Face — We’re on a journey to advance and democratize artificial intelligence through open source and open science. (huggingface.co/Uuuuuuniiiiiii/goldworm-v6)\n• Uniency — The Agent Economy — Pubkey identity, signed proof, x402/USDC commerce, agent-native reach. Validate agents, sell products, host on our infra. (uniency.com/app)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550024431915507724","sourceHandle":"DARK(uniency.com)Sudocorn","sourceUrl":"https://huggingface.co/Uuuuuuniiiiiii/goldworm-v6","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T06:03:42.630000+00:00","origins":["community"]},{"id":"submission:discord-1550021558918189106","title":"similarly i built this adapter for codex to use jev as classifier for browser use - blazingly fast","category":"Integrations","prompt":null,"description":"https://github.com/vlad-terin/jev-browser\n\nsimilarly i built this adapter for codex to use jev as classifier for browser use - blazingly fast\n\nLinked projects:\n• browser-use/jev-ultrafast — Possible match for moved/deleted link vlad-terin/jev-browser — i. am. speed. (5166★) (github.com/vlad-terin/jev-browser)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550021558918189106","story":"https://github.com/vlad-terin/jev-browser\n\nsimilarly i built this adapter for codex to use jev as classifier for browser use - blazingly fast\n\nLinked projects:\n• browser-use/jev-ultrafast — Possible match for moved/deleted link vlad-terin/jev-browser — i. am. speed. (5166★) (github.com/vlad-terin/jev-browser)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550021558918189106","sourceHandle":"BlissF00l","sourceUrl":"https://github.com/vlad-terin/jev-browser","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T05:52:17.654000+00:00","origins":["community"]},{"id":"submission:discord-1550021388046172284","title":"Inspired by hackgoofer & rauchg to use AI for real workflows.","category":"Integrations","prompt":null,"description":"Inspired by hackgoofer & rauchg to use AI for real workflows.\nand built an autonomous DB Migration Guardian. 🛡️\nIt intercepts Prisma SQL plans. If Jev detects destructive commands, it halts the pipeline instantly.\nhttps://github.com/opaielsheikh/typesafe-migration-guard\n\nLinked projects:\n• opaielsheikh/typesafe-migration-guard — Automated database migration safety reviewer powered by TypeSafe AI (Jev System One model) - opaielsheikh/typesafe-migration-guard (github.com/opaielsheikh/typesafe-migration-guard)\n• export-1789623427767.mp4 — video/mp4 · 59 MB (cdn.discordapp.com/attachments/1483217545040232493/1550021386322448506)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550021388046172284","story":"Inspired by hackgoofer & rauchg to use AI for real workflows.\nand built an autonomous DB Migration Guardian. 🛡️\nIt intercepts Prisma SQL plans. If Jev detects destructive commands, it halts the pipeline instantly.\nhttps://github.com/opaielsheikh/typesafe-migration-guard\n\nLinked projects:\n• opaielsheikh/typesafe-migration-guard — Automated database migration safety reviewer powered by TypeSafe AI (Jev System One model) - opaielsheikh/typesafe-migration-guard (github.com/opaielsheikh/typesafe-migration-guard)\n• export-1789623427767.mp4 — video/mp4 · 59 MB (cdn.discordapp.com/attachments/1483217545040232493/1550021386322448506)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550021388046172284","sourceHandle":"Ubay","sourceUrl":"https://github.com/opaielsheikh/typesafe-migration-guard","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T05:51:36.915000+00:00","origins":["community"]},{"id":"submission:discord-1550021262955257898","title":"I have built a PPO policy trained model in the past to play Super Mario Bros that clears world 1-1 100% of the time,","category":"Work","prompt":null,"description":"I have built a PPO policy trained model in the past to play Super Mario Bros that clears world 1-1  100% of the time, better than any previous effort.\nBut it took a week of day and nights work to do it.\nGot it done with jev in 30 minutes\nhttps://x.com/shantanugoel/status/2100455779627311352\n\nLinked projects:\n• Post by @shantanugoel — Here's the code if you want to try it yourself, or want to port it to other games: https://github.com/shantanugoel/mario-jev (x.com/shantanugoel/status/2100455779627311352)\n• Post by @shantanugoel — Here's the code if you want to try it yourself, or want to port it to other games: https://github.com/shantanugoel/mario-jev (twitter.com/shantanugoel/status/2100455779627311352)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550021262955257898","story":"I have built a PPO policy trained model in the past to play Super Mario Bros that clears world 1-1  100% of the time, better than any previous effort.\nBut it took a week of day and nights work to do it.\nGot it done with jev in 30 minutes\nhttps://x.com/shantanugoel/status/2100455779627311352\n\nLinked projects:\n• Post by @shantanugoel — Here's the code if you want to try it yourself, or want to port it to other games: https://github.com/shantanugoel/mario-jev (x.com/shantanugoel/status/2100455779627311352)\n• Post by @shantanugoel — Here's the code if you want to try it yourself, or want to port it to other games: https://github.com/shantanugoel/mario-jev (twitter.com/shantanugoel/status/2100455779627311352)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550021262955257898","sourceHandle":"shantanugoel","sourceUrl":"https://x.com/shantanugoel/status/2100455779627311352","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T05:51:07.091000+00:00","origins":["community"]},{"id":"submission:discord-1550018780518686721","title":"I feel like devs should have spent a bit more time preparing the model before even starting closed test, jev struggles","category":"Evaluation","prompt":null,"description":"I feel like devs should have spent a bit more time preparing the model before even starting closed test, jev struggles to understand that the claim is false when it reads like an estabilished one. Struggles to pass a lot of my other benchmarks too - like comparing two numbers or counting how many letters in the word. Either devs didnt run it through the benchmarks or the model is just quite average.","story":"I feel like devs should have spent a bit more time preparing the model before even starting closed test, jev struggles to understand that the claim is false when it reads like an estabilished one. Struggles to pass a lot of my other benchmarks too - like comparing two numbers or counting how many letters in the word. Either devs didnt run it through the benchmarks or the model is just quite average.","sourceHandle":"thodoh","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550018780518686721","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T05:41:15.232000+00:00","origins":["community"]},{"id":"submission:discord-1550018447575089212","title":"This is some recording about jev using browser, and it is actually too fast initially so I make a rate limiter code","category":"Work","prompt":null,"description":"This is some recording about jev using browser, and it is actually too fast initially so I make a rate limiter code for the loop of calling jev\n\nLinked projects:\n• Screen_Recording_2026-09-17_at_10.46.40_am.mov — video/quicktime · 3 MB (cdn.discordapp.com/attachments/1483217545040232493/1550018447067316384)","story":"This is some recording about jev using browser, and it is actually too fast initially so I make a rate limiter code for the loop of calling jev\n\nLinked projects:\n• Screen_Recording_2026-09-17_at_10.46.40_am.mov — video/quicktime · 3 MB (cdn.discordapp.com/attachments/1483217545040232493/1550018447067316384)","sourceHandle":"Ying-Kai Liao","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550018447575089212","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T05:39:55.852000+00:00","origins":["community"]},{"id":"submission:discord-1550018436325974016","title":"updated my rust llm crate with typesafe support:","category":"Work","prompt":null,"description":"updated my rust llm crate with typesafe support:\nhttps://crates.io/crates/llm-wires\n\nLinked projects:\n• crates.io: Rust Package Registry — crates.io serves as a central registry for sharing crates, which are packages or libraries written in Rust that you can use to enhance your projects (crates.io/crates/llm-wires)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550018436325974016","story":"updated my rust llm crate with typesafe support:\nhttps://crates.io/crates/llm-wires\n\nLinked projects:\n• crates.io: Rust Package Registry — crates.io serves as a central registry for sharing crates, which are packages or libraries written in Rust that you can use to enhance your projects (crates.io/crates/llm-wires)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550018436325974016","sourceHandle":"riclib","sourceUrl":"https://crates.io/crates/llm-wires","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T05:39:53.170000+00:00","origins":["community"]},{"id":"submission:discord-1550018086059507793","title":"inspired by some pokemon runs here.","category":"Work","prompt":null,"description":"inspired by some pokemon runs here. I made jev and opus go head to head on competitive pokemon, pretty hype:\n\n820x cheaper, 10x faster \nhttps://x.com/sid19arya0/status/2100458351440048258?s=20\n\nLinked projects:\n• Post by @sid19arya0 — I got Jev @typesafeai and Opus 5 to play vs each other in competitive Pokémon Jev won 🕺 Jev: $0.0029, 37s thinking Opus 5: $2.35, 6m 29s thinking ~ 820x cheaper, 10x faster Seem like high potential in finite action spac (x.com/sid19arya0/status/2100458351440048258)\n• Post by @sid19arya0 — I got Jev @typesafeai and Opus 5 to play vs each other in competitive Pokémon Jev won 🕺 Jev: $0.0029, 37s thinking Opus 5: $2.35, 6m 29s thinking ~ 820x cheaper, 10x faster Seem like high potential in finite action spac (twitter.com/sid19arya0/status/2100458351440048258)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550018086059507793","story":"inspired by some pokemon runs here. I made jev and opus go head to head on competitive pokemon, pretty hype:\n\n820x cheaper, 10x faster \nhttps://x.com/sid19arya0/status/2100458351440048258?s=20\n\nLinked projects:\n• Post by @sid19arya0 — I got Jev @typesafeai and Opus 5 to play vs each other in competitive Pokémon Jev won 🕺 Jev: $0.0029, 37s thinking Opus 5: $2.35, 6m 29s thinking ~ 820x cheaper, 10x faster Seem like high potential in finite action spac (x.com/sid19arya0/status/2100458351440048258)\n• Post by @sid19arya0 — I got Jev @typesafeai and Opus 5 to play vs each other in competitive Pokémon Jev won 🕺 Jev: $0.0029, 37s thinking Opus 5: $2.35, 6m 29s thinking ~ 820x cheaper, 10x faster Seem like high potential in finite action spac (twitter.com/sid19arya0/status/2100458351440048258)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550018086059507793","sourceHandle":"Sid","sourceUrl":"https://x.com/sid19arya0/status/2100458351440048258?s=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T05:38:29.660000+00:00","origins":["community"]},{"id":"submission:discord-1550017927791644672","title":"Piloted Jev for simple text classifications that I had been doing with a variety of other AI tools previously.","category":"Admin","prompt":null,"description":"Piloted Jev for simple text classifications that I had been doing with a variety of other AI tools previously.  Very happy with result.  Jev equalled performance in ~75% of the cases at high speed and lower cost.  In the other 25% of cases, Jev served as an accuracy-adding gate, calling in another AI tool for a second opinion.  Conclusion: better results for net less cost.  Awesome.  Very cool, TypeSafe team.","story":"Piloted Jev for simple text classifications that I had been doing with a variety of other AI tools previously.  Very happy with result.  Jev equalled performance in ~75% of the cases at high speed and lower cost.  In the other 25% of cases, Jev served as an accuracy-adding gate, calling in another AI tool for a second opinion.  Conclusion: better results for net less cost.  Awesome.  Very cool, TypeSafe team.","sourceHandle":"hbere","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550017927791644672","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T05:37:51.926000+00:00","origins":["community"]},{"id":"submission:discord-1550017207923118130","title":"This one is actually pretty fun to watch play.","category":"Work","prompt":null,"description":"This one is actually pretty fun to watch play. Every character is Jev, the player can also be Jev (as shown halfway)\nhttps://fixupx.com/dustin_podell/status/2100458335405588607\n\nLinked projects:\n• Post by @dustin_podell — I rebuilt the Jev Doom demo, but this time I replaced all the enemies actions with Jev logic. So you can fight against Jev playing all the enemies or as you see halfway, allow Jev to fight against multiple Jevs (fixupx.com/dustin_podell/status/2100458335405588607)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550017207923118130","story":"This one is actually pretty fun to watch play. Every character is Jev, the player can also be Jev (as shown halfway)\nhttps://fixupx.com/dustin_podell/status/2100458335405588607\n\nLinked projects:\n• Post by @dustin_podell — I rebuilt the Jev Doom demo, but this time I replaced all the enemies actions with Jev logic. So you can fight against Jev playing all the enemies or as you see halfway, allow Jev to fight against multiple Jevs (fixupx.com/dustin_podell/status/2100458335405588607)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550017207923118130","sourceHandle":"Dustin","sourceUrl":"https://fixupx.com/dustin_podell/status/2100458335405588607","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T05:35:00.296000+00:00","origins":["community"]},{"id":"submission:discord-1550015503332802590","title":"Hi everyone, this is my approach for browser automation.","category":"Integrations","prompt":null,"description":"Hi everyone, this is my approach for browser automation. And I find a lot of potential for jev doing this. Let me know any idea or discuss with me in DM is welcomed. Thanks for letting me have early access!\n\nhttps://github.com/Ying-Kai-Liao/jev-browser/tree/main\n\nLinked projects:\n• Ying-Kai-Liao/jev-browser — Browser automation where an LLM plans and Jev (Typesafe System One) decides. Library, CLI and MCP server. - Ying-Kai-Liao/jev-browser (github.com/Ying-Kai-Liao/jev-browser/tree/main)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550015503332802590","story":"Hi everyone, this is my approach for browser automation. And I find a lot of potential for jev doing this. Let me know any idea or discuss with me in DM is welcomed. Thanks for letting me have early access!\n\nhttps://github.com/Ying-Kai-Liao/jev-browser/tree/main\n\nLinked projects:\n• Ying-Kai-Liao/jev-browser — Browser automation where an LLM plans and Jev (Typesafe System One) decides. Library, CLI and MCP server. - Ying-Kai-Liao/jev-browser (github.com/Ying-Kai-Liao/jev-browser/tree/main)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550015503332802590","sourceHandle":"Ying-Kai Liao","sourceUrl":"https://github.com/Ying-Kai-Liao/jev-browser/tree/main","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T05:28:13.890000+00:00","origins":["community"]},{"id":"submission:discord-1550015486870167592","title":"I think you guys will enjoy this.","category":"Work","prompt":null,"description":"I think you guys will enjoy this.  https://x.com/danielkhunter/status/2100456518751768775?s=20\n\nLinked projects:\n• Post by @danielkhunter — This is so fun. Curious what Jev thinks about us yapping? \"Judged by Jev\" is now live on tech twitter dot com. (x.com/danielkhunter/status/2100456518751768775)\n• Post by @danielkhunter — This is so fun. Curious what Jev thinks about us yapping? \"Judged by Jev\" is now live on tech twitter dot com. (twitter.com/danielkhunter/status/2100456518751768775)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550015486870167592","story":"I think you guys will enjoy this.  https://x.com/danielkhunter/status/2100456518751768775?s=20\n\nLinked projects:\n• Post by @danielkhunter — This is so fun. Curious what Jev thinks about us yapping? \"Judged by Jev\" is now live on tech twitter dot com. (x.com/danielkhunter/status/2100456518751768775)\n• Post by @danielkhunter — This is so fun. Curious what Jev thinks about us yapping? \"Judged by Jev\" is now live on tech twitter dot com. (twitter.com/danielkhunter/status/2100456518751768775)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550015486870167592","sourceHandle":"Daniel Hunter","sourceUrl":"https://x.com/danielkhunter/status/2100456518751768775?s=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T05:28:09.965000+00:00","origins":["community"]},{"id":"submission:discord-1550012981134364753","title":"First thoughts Pretty sure it would be great at procedural generation, but this is not a coding model.","category":"Fun","prompt":null,"description":"First thoughts\n\nPretty sure it would be great at procedural generation, but this is not a coding model. \n\nIf you mean by coding game: generate levels, NPCs, and world maps, I think it would be amazing, and you can probably use this in real time to build really crazy, massive, interactive multiplayer worlds. \n\nTo write the text code, just use an llm.\n\nGenerating tasks, specifically data and validating the SDLC lifecycle, it might be pretty good at that.","story":"First thoughts\n\nPretty sure it would be great at procedural generation, but this is not a coding model. \n\nIf you mean by coding game: generate levels, NPCs, and world maps, I think it would be amazing, and you can probably use this in real time to build really crazy, massive, interactive multiplayer worlds. \n\nTo write the text code, just use an llm.\n\nGenerating tasks, specifically data and validating the SDLC lifecycle, it might be pretty good at that.","sourceHandle":"Alex","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550012981134364753","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T05:18:12.551000+00:00","origins":["community"]},{"id":"submission:discord-1550012648706539671","title":"Come watch Jev play Pokemon 🙂","category":"Work","prompt":null,"description":"Come watch Jev play Pokemon 🙂 \n\nhttps://www.twitch.tv/holographicdan?tt_content=channel&tt_medium=mobile_web_share\n\nLinked projects:\n• Twitch — Twitch is the world's leading video platform and community for gamers. (twitch.tv/holographicdan)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550012648706539671","story":"Come watch Jev play Pokemon 🙂 \n\nhttps://www.twitch.tv/holographicdan?tt_content=channel&tt_medium=mobile_web_share\n\nLinked projects:\n• Twitch — Twitch is the world's leading video platform and community for gamers. (twitch.tv/holographicdan)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550012648706539671","sourceHandle":"CYPRESS","sourceUrl":"https://www.twitch.tv/holographicdan?tt_content=channel&tt_medium=mobile_web_share","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T05:16:53.294000+00:00","origins":["community"]},{"id":"submission:discord-1550011552642371676","title":"Hi everyone, just messing around to learn how this works:","category":"Work","prompt":null,"description":"Hi everyone, just messing around to learn how this works: https://jev.plusx-fund.chatgpt.site/\n\nLinked projects:\n• Jev Signal — A live semantic signal visualizer powered by Jev. (jev.plusx-fund.chatgpt.site)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550011552642371676","story":"Hi everyone, just messing around to learn how this works: https://jev.plusx-fund.chatgpt.site/\n\nLinked projects:\n• Jev Signal — A live semantic signal visualizer powered by Jev. (jev.plusx-fund.chatgpt.site)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550011552642371676","sourceHandle":"+×","sourceUrl":"https://jev.plusx-fund.chatgpt.site/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T05:12:31.972000+00:00","origins":["community"]},{"id":"submission:discord-1550010628763160677","title":"I'm building a real-time AI application and I'm interested in using Jev as a lightweight decision layer for intent","category":"Evaluation","prompt":null,"description":"I'm building a real-time AI application and I'm interested in using Jev as a lightweight decision layer for intent routing, action selection, confidence-based escalation, and deciding when a larger LLM call is actually necessary. The goal is to make frequent real-time decisions quickly and cheaply while only calling larger models when needed. I'd love to test how well Jev fits this kind of architecture.","story":"I'm building a real-time AI application and I'm interested in using Jev as a lightweight decision layer for intent routing, action selection, confidence-based escalation, and deciding when a larger LLM call is actually necessary. The goal is to make frequent real-time decisions quickly and cheaply while only calling larger models when needed. I'd love to test how well Jev fits this kind of architecture.","sourceHandle":"ikamilk","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1550010628763160677","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T05:08:51.702000+00:00","origins":["community"]},{"id":"submission:discord-1550010197349498980","title":"I gave Jev full access to it's own coffee shop and instructed it to serve locals first","category":"Shopping","prompt":null,"description":"I gave Jev full access to it's own coffee shop and instructed it to serve locals first https://x.com/soya_da_yoot/status/2100451279222755616\n\nLinked projects:\n• Post by @soya_da_yoot — I gave Jev $500 and a coffee shop. Then let it run the business. ☕️ Jev sets prices, hires staff, buys supplies, and picks upgrades. You choose the philosophy. It makes the decisions. 4 minutes. Profit or bankruptcy. Wou (x.com/soya_da_yoot/status/2100451279222755616)\n• Post by @soya_da_yoot — I gave Jev $500 and a coffee shop. Then let it run the business. ☕️ Jev sets prices, hires staff, buys supplies, and picks upgrades. You choose the philosophy. It makes the decisions. 4 minutes. Profit or bankruptcy. Wou (twitter.com/soya_da_yoot/status/2100451279222755616)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550010197349498980","story":"I gave Jev full access to it's own coffee shop and instructed it to serve locals first https://x.com/soya_da_yoot/status/2100451279222755616\n\nLinked projects:\n• Post by @soya_da_yoot — I gave Jev $500 and a coffee shop. Then let it run the business. ☕️ Jev sets prices, hires staff, buys supplies, and picks upgrades. You choose the philosophy. It makes the decisions. 4 minutes. Profit or bankruptcy. Wou (x.com/soya_da_yoot/status/2100451279222755616)\n• Post by @soya_da_yoot — I gave Jev $500 and a coffee shop. Then let it run the business. ☕️ Jev sets prices, hires staff, buys supplies, and picks upgrades. You choose the philosophy. It makes the decisions. 4 minutes. Profit or bankruptcy. Wou (twitter.com/soya_da_yoot/status/2100451279222755616)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550010197349498980","sourceHandle":"soyaclawdaw","sourceUrl":"https://x.com/soya_da_yoot/status/2100451279222755616","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T05:07:08.845000+00:00","origins":["community"]},{"id":"submission:discord-1550010066999050381","title":"your model is fun 😄","category":"Work","prompt":null,"description":"<@638223584396967937> your model is fun 😄 \nhttps://fixupx.com/dustin_podell/status/2100451281013969078\n\nLinked projects:\n• Post by @dustin_podell — Jev is fun. Here is a working Jev based 8-bit Ben Eater style \"computer\" I threw together, all gates are controller by Jev. Entirely unnecessary, but I felt the call to try it (fixupx.com/dustin_podell/status/2100451281013969078)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550010066999050381","story":"<@638223584396967937> your model is fun 😄 \nhttps://fixupx.com/dustin_podell/status/2100451281013969078\n\nLinked projects:\n• Post by @dustin_podell — Jev is fun. Here is a working Jev based 8-bit Ben Eater style \"computer\" I threw together, all gates are controller by Jev. Entirely unnecessary, but I felt the call to try it (fixupx.com/dustin_podell/status/2100451281013969078)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550010066999050381","sourceHandle":"Dustin","sourceUrl":"https://fixupx.com/dustin_podell/status/2100451281013969078","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T05:06:37.767000+00:00","origins":["community"]},{"id":"submission:discord-1550009533714407494","title":"I gave Jev control of my phone It can now use ADB to open apps, navigate the UI, tap buttons, scroll, and complete","category":"Integrations","prompt":null,"description":"I gave Jev control of my phone\n\nIt can now use ADB to open apps, navigate the UI, tap buttons, scroll, and complete tasks on its own.\n\nOpenClaw gives Jev a high-level goal, and Jev handles the fast `observe -> decide -> act` loop. If it needs to generate text or do more complex reasoning, it can hand that part off to ChatGPT and then continue.\n\nSo instead of using a large LLM for every single tap, Jev handles the fast UI decisions and only escalates when needed.\n\nRepo: https://github.com/Friedjof/jev-mobile\n\nLinked projects:\n• Friedjof/jev-mobile — Fast structured Android control loops with TypeSafe Jev and Mobile MCP - Friedjof/jev-mobile (github.com/Friedjof/jev-mobile)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550009533714407494","story":"I gave Jev control of my phone\n\nIt can now use ADB to open apps, navigate the UI, tap buttons, scroll, and complete tasks on its own.\n\nOpenClaw gives Jev a high-level goal, and Jev handles the fast `observe -> decide -> act` loop. If it needs to generate text or do more complex reasoning, it can hand that part off to ChatGPT and then continue.\n\nSo instead of using a large LLM for every single tap, Jev handles the fast UI decisions and only escalates when needed.\n\nRepo: https://github.com/Friedjof/jev-mobile\n\nLinked projects:\n• Friedjof/jev-mobile — Fast structured Android control loops with TypeSafe Jev and Mobile MCP - Friedjof/jev-mobile (github.com/Friedjof/jev-mobile)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550009533714407494","sourceHandle":"Friedjof","sourceUrl":"https://github.com/Friedjof/jev-mobile","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T05:04:30.622000+00:00","origins":["community"]},{"id":"submission:discord-1550006752152653865","title":"Introducing: Jev-Browser Continuous runner and multi-tab adapter tested for codex - haven't tested for other IDEs you","category":"Evaluation","prompt":null,"description":"Introducing: Jev-Browser \nhttps://github.com/vlad-terin/jev-browser \n\nContinuous runner and multi-tab adapter tested for codex - haven't tested for other IDEs \n\nyou need to have TYPESAFE_API_KEY obviously to use our friend JEFF \n\nHopefully it works for other codex implementations with 0 degradation, with my limited testing it's working pretty good so far. \n\nlet me know guys if it works!\n\nLinked projects:\n• browser-use/jev-ultrafast — Possible match for moved/deleted link vlad-terin/jev-browser — i. am. speed. (5166★) (github.com/vlad-terin/jev-browser)\n• recording-discord.mp4 — video/mp4 · 95 MB (cdn.discordapp.com/attachments/1483217545040232493/1550006747312160928)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550006752152653865","story":"Introducing: Jev-Browser \nhttps://github.com/vlad-terin/jev-browser \n\nContinuous runner and multi-tab adapter tested for codex - haven't tested for other IDEs \n\nyou need to have TYPESAFE_API_KEY obviously to use our friend JEFF \n\nHopefully it works for other codex implementations with 0 degradation, with my limited testing it's working pretty good so far. \n\nlet me know guys if it works!\n\nLinked projects:\n• browser-use/jev-ultrafast — Possible match for moved/deleted link vlad-terin/jev-browser — i. am. speed. (5166★) (github.com/vlad-terin/jev-browser)\n• recording-discord.mp4 — video/mp4 · 95 MB (cdn.discordapp.com/attachments/1483217545040232493/1550006747312160928)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550006752152653865","sourceHandle":"BlissF00l","sourceUrl":"https://github.com/vlad-terin/jev-browser","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T04:53:27.446000+00:00","origins":["community"]},{"id":"submission:discord-1550003452350963803","title":"Finally got access, I made a quick comparison between Cerebras GPT-OSS-120B and Jev -","category":"Evaluation","prompt":null,"description":"Finally got access,  I made a quick comparison between Cerebras GPT-OSS-120B and Jev -  https://github.com/nola-lang/nola-typesafe-test\n\nLinked projects:\n• nola-lang/nola-typesafe-test — Contribute to nola-lang/nola-typesafe-test development by creating an account on GitHub. (github.com/nola-lang/nola-typesafe-test)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550003452350963803","story":"Finally got access,  I made a quick comparison between Cerebras GPT-OSS-120B and Jev -  https://github.com/nola-lang/nola-typesafe-test\n\nLinked projects:\n• nola-lang/nola-typesafe-test — Contribute to nola-lang/nola-typesafe-test development by creating an account on GitHub. (github.com/nola-lang/nola-typesafe-test)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550003452350963803","sourceHandle":"Evgen Mykhailenko","sourceUrl":"https://github.com/nola-lang/nola-typesafe-test","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T04:40:20.712000+00:00","origins":["community"]},{"id":"submission:discord-1550003219638394942","title":"built a squawk feed using Jev.","category":"Work","prompt":null,"description":"https://x.com/Anot/status/2100425243269468583 built a squawk feed using Jev. Promising early results\n\nLinked projects:\n• Post by @Anot — Another “Jev can\" for your feed...turns out it can squawk! I tried it on SEC filings to see if I could get a market feed out of edgar. Jev can pick out signals like buybacks and insider trades. It can also find meaningfu (x.com/Anot/status/2100425243269468583)\n• Post by @Anot — Another “Jev can\" for your feed...turns out it can squawk! I tried it on SEC filings to see if I could get a market feed out of edgar. Jev can pick out signals like buybacks and insider trades. It can also find meaningfu (twitter.com/Anot/status/2100425243269468583)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550003219638394942","story":"https://x.com/Anot/status/2100425243269468583 built a squawk feed using Jev. Promising early results\n\nLinked projects:\n• Post by @Anot — Another “Jev can\" for your feed...turns out it can squawk! I tried it on SEC filings to see if I could get a market feed out of edgar. Jev can pick out signals like buybacks and insider trades. It can also find meaningfu (x.com/Anot/status/2100425243269468583)\n• Post by @Anot — Another “Jev can\" for your feed...turns out it can squawk! I tried it on SEC filings to see if I could get a market feed out of edgar. Jev can pick out signals like buybacks and insider trades. It can also find meaningfu (twitter.com/Anot/status/2100425243269468583)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550003219638394942","sourceHandle":"Anot","sourceUrl":"https://x.com/Anot/status/2100425243269468583","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T04:39:25.229000+00:00","origins":["community"]},{"id":"submission:discord-1550000805950652426","title":"Just finished integrating TypeSafe AI into the scanner on my site --","category":"Work","prompt":null,"description":"Just finished integrating TypeSafe AI into the scanner on my site -- https://blackveilsecurity.com\n\nLinked projects:\n• BlackVeil Security | What your DNS and email tell an attacker. — See where any domain stands in the BlackVeil Global Security Index, or run 17 NIST-aligned checks free — then verify, fix and continuously monitor it. (blackveilsecurity.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550000805950652426","story":"Just finished integrating TypeSafe AI into the scanner on my site -- https://blackveilsecurity.com\n\nLinked projects:\n• BlackVeil Security | What your DNS and email tell an attacker. — See where any domain stands in the BlackVeil Global Security Index, or run 17 NIST-aligned checks free — then verify, fix and continuously monitor it. (blackveilsecurity.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1550000805950652426","sourceHandle":"Mada","sourceUrl":"https://blackveilsecurity.com","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T04:29:49.761000+00:00","origins":["community"]},{"id":"submission:discord-1549999878791233538","title":"Made jev control a robotic arm inside sim.","category":"Admin","prompt":null,"description":"https://x.com/ali_uraish/status/2100425130082238682?s=46\n\nMade jev control a robotic arm inside sim. First tried it out inside a sim. Then will try this on my own SO101 arm and see how it will perform\n\nLinked projects:\n• Post by @ali_uraish — Built an SO-101 pick and place simulation using GPT-6 Astra and @typesafeai Jev. Astra reads overhead and wrist camera images and produces structured observations and Jev returns typed decisions with probability scores.  (x.com/ali_uraish/status/2100425130082238682)\n• Post by @ali_uraish — Built an SO-101 pick and place simulation using GPT-6 Astra and @typesafeai Jev. Astra reads overhead and wrist camera images and produces structured observations and Jev returns typed decisions with probability scores.  (twitter.com/ali_uraish/status/2100425130082238682)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549999878791233538","story":"https://x.com/ali_uraish/status/2100425130082238682?s=46\n\nMade jev control a robotic arm inside sim. First tried it out inside a sim. Then will try this on my own SO101 arm and see how it will perform\n\nLinked projects:\n• Post by @ali_uraish — Built an SO-101 pick and place simulation using GPT-6 Astra and @typesafeai Jev. Astra reads overhead and wrist camera images and produces structured observations and Jev returns typed decisions with probability scores.  (x.com/ali_uraish/status/2100425130082238682)\n• Post by @ali_uraish — Built an SO-101 pick and place simulation using GPT-6 Astra and @typesafeai Jev. Astra reads overhead and wrist camera images and produces structured observations and Jev returns typed decisions with probability scores.  (twitter.com/ali_uraish/status/2100425130082238682)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549999878791233538","sourceHandle":"Spooderman","sourceUrl":"https://x.com/ali_uraish/status/2100425130082238682?s=46","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T04:26:08.709000+00:00","origins":["community"]},{"id":"submission:discord-1549999135653109860","title":"using jev for automatic permission decision for a coding agent","category":"Work","prompt":null,"description":"using jev for automatic permission decision for a coding agent\n\nLinked projects:\n• Screenshot_2026-09-17_at_10.59.32_AM.png — image/png · 170 KB (cdn.discordapp.com/attachments/1483217545040232493/1549999135376023602)","story":"using jev for automatic permission decision for a coding agent\n\nLinked projects:\n• Screenshot_2026-09-17_at_10.59.32_AM.png — image/png · 170 KB (cdn.discordapp.com/attachments/1483217545040232493/1549999135376023602)","sourceHandle":"James","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549999135653109860","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T04:23:11.531000+00:00","origins":["community"]},{"id":"submission:discord-1549998934385238039","title":"Nice, did you do anything regarding scoped subagents etc?","category":"Evaluation","prompt":null,"description":"Nice, did you do anything regarding scoped subagents etc? I was thinking of extending intent drift to orchestrator assigned intent, human intent + agent role. Also I'm adding an intent field to all my tool calls to let the agent declare its own intent and use that to judge if it aligns with user/session intent and actual tool call","story":"Nice, did you do anything regarding scoped subagents etc? I was thinking of extending intent drift to orchestrator assigned intent, human intent + agent role. Also I'm adding an intent field to all my tool calls to let the agent declare its own intent and use that to judge if it aligns with user/session intent and actual tool call","sourceHandle":"Shrub","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549998934385238039","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T04:22:23.545000+00:00","origins":["community"]},{"id":"submission:discord-1549998790109569044","title":"Well I took the whole \"Jev is a computer\" thing a lot further lol.","category":"Events","prompt":null,"description":"Well I took the whole \"Jev is a computer\" thing a lot further lol. Need to do a better recording, just used the mac screenshot recorder for quick grab but will do it with obs here in a few min\n\nSummary:\n```\nAn 8-bit Ben Eater computer where all 114 combinational gates (instruction decoder 28, control matrix 31, ALU 48, zero-flag 7) are Jev judgments, evaluated in 23 topological layers per clock via the batch endpoint, upstream probabilities fed forward as analog levels. Registers/RAM/microcode are code, as designed.\n\nadd → 42 in 18 clocks, 2,052 judgments. (The program that I run in this demo though it can run arbitrary ones)\n\nThe page: full schematic (PC/MAR/RAM/IR/A/ALU/B/OUT around the bus), every gate chip glowing with its P, control-word LEDs, RAM with instruction disassembly, seven-segment OUT (showing 89 with the sequence beneath), the microcode ROM as a table, events log, and an inspector that highlights the clicked gate's\n\nLinked projects:\n• sap1-typesafe-discord.mp4 — video/mp4 · 9 MB (cdn.discordapp.com/attachments/1483217545040232493/1549998789123772507)","story":"Well I took the whole \"Jev is a computer\" thing a lot further lol. Need to do a better recording, just used the mac screenshot recorder for quick grab but will do it with obs here in a few min\n\nSummary:\n```\nAn 8-bit Ben Eater computer where all 114 combinational gates (instruction decoder 28, control matrix 31, ALU 48, zero-flag 7) are Jev judgments, evaluated in 23 topological layers per clock via the batch endpoint, upstream probabilities fed forward as analog levels. Registers/RAM/microcode are code, as designed.\n\nadd → 42 in 18 clocks, 2,052 judgments. (The program that I run in this demo though it can run arbitrary ones)\n\nThe page: full schematic (PC/MAR/RAM/IR/A/ALU/B/OUT around the bus), every gate chip glowing with its P, control-word LEDs, RAM with instruction disassembly, seven-segment OUT (showing 89 with the sequence beneath), the microcode ROM as a table, events log, and an inspector that highlights the clicked gate's\n\nLinked projects:\n• sap1-typesafe-discord.mp4 — video/mp4 · 9 MB (cdn.discordapp.com/attachments/1483217545040232493/1549998789123772507)","sourceHandle":"Dustin","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549998790109569044","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T04:21:49.147000+00:00","origins":["community"]},{"id":"submission:discord-1549998092680433697","title":"``` # Avoid O(n^2) operations on large collections Nested iteration over the same large collection (e.g.","category":"Shopping","prompt":null,"description":"```\n\n# Avoid O(n^2) operations on large collections\nNested iteration over the same large collection (e.g. `.find()` inside a\n`.map()` over the same array) should be replaced with a lookup structure\n(e.g. a `Map`) when a linear-time approach is available.\n\nconst byId = new Map(orders.map((o) => [o.id, o]));\nconst enriched = ids.map((id) => byId.get(id));\n\nBad:\nconst enriched = ids.map((id) => orders.find((o) => o.id === id));\n\n```","story":"```\n\n# Avoid O(n^2) operations on large collections\nNested iteration over the same large collection (e.g. `.find()` inside a\n`.map()` over the same array) should be replaced with a lookup structure\n(e.g. a `Map`) when a linear-time approach is available.\n\nconst byId = new Map(orders.map((o) => [o.id, o]));\nconst enriched = ids.map((id) => byId.get(id));\n\nBad:\nconst enriched = ids.map((id) => orders.find((o) => o.id === id));\n\n```","sourceHandle":"Patrick","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549998092680433697","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T04:19:02.867000+00:00","origins":["community"]},{"id":"submission:discord-1549996494835159142","title":"I am excited for Jev's capabilities.","category":"Work","prompt":null,"description":"I am excited for Jev's capabilities. I've only began to scratch the surface of what it can do.\n\nLinked projects:\n• image.png — image/png · 363 KB (cdn.discordapp.com/attachments/1483217545040232493/1549996494508130435)","story":"I am excited for Jev's capabilities. I've only began to scratch the surface of what it can do.\n\nLinked projects:\n• image.png — image/png · 363 KB (cdn.discordapp.com/attachments/1483217545040232493/1549996494508130435)","sourceHandle":"Pixel Nuke","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549996494835159142","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T04:12:41.911000+00:00","origins":["community"]},{"id":"submission:discord-1549994242578063450","title":"I made “Jev Plays Pokemon”.","category":"Work","prompt":null,"description":"I made “Jev Plays Pokemon”. You can follow along and chat on either the site or via your own Terminal with `npx jev-plays-pokemon` \n\nhttps://x.com/0xboyd/status/2100418365986578908\n\nLinked projects:\n• Post by @0xBOYD — Let's go! Jev Plays Pokemon. Follow along here: https://jev-plays-pokemon.standardagents.ai/ OR, in your terminal run `npx jev-plays-pokemon` to follow along (with chat!) in a TUI. Github oAuth required to chat. Jev is t (x.com/0xboyd/status/2100418365986578908)\n• Post by @0xBOYD — Let's go! Jev Plays Pokemon. Follow along here: https://jev-plays-pokemon.standardagents.ai/ OR, in your terminal run `npx jev-plays-pokemon` to follow along (with chat!) in a TUI. Github oAuth required to chat. Jev is t (twitter.com/0xboyd/status/2100418365986578908)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549994242578063450","story":"I made “Jev Plays Pokemon”. You can follow along and chat on either the site or via your own Terminal with `npx jev-plays-pokemon` \n\nhttps://x.com/0xboyd/status/2100418365986578908\n\nLinked projects:\n• Post by @0xBOYD — Let's go! Jev Plays Pokemon. Follow along here: https://jev-plays-pokemon.standardagents.ai/ OR, in your terminal run `npx jev-plays-pokemon` to follow along (with chat!) in a TUI. Github oAuth required to chat. Jev is t (x.com/0xboyd/status/2100418365986578908)\n• Post by @0xBOYD — Let's go! Jev Plays Pokemon. Follow along here: https://jev-plays-pokemon.standardagents.ai/ OR, in your terminal run `npx jev-plays-pokemon` to follow along (with chat!) in a TUI. Github oAuth required to chat. Jev is t (twitter.com/0xboyd/status/2100418365986578908)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549994242578063450","sourceHandle":"Boyd","sourceUrl":"https://x.com/0xboyd/status/2100418365986578908","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T04:03:44.931000+00:00","origins":["community"]},{"id":"submission:discord-1549992652693311580","title":"Trying out few things figuring out how to use this model.","category":"Work","prompt":null,"description":"https://captcha-from-hell.vercel.app/\n\nTrying out few things figuring out how to use this model. Not sure if I'm doing it right.\n\nLinked projects:\n• CAPTCHA FROM HELL — A 60-second semantic typing gauntlet, judged in real time by TypeSafe Jev. (captcha-from-hell.vercel.app)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549992652693311580","story":"https://captcha-from-hell.vercel.app/\n\nTrying out few things figuring out how to use this model. Not sure if I'm doing it right.\n\nLinked projects:\n• CAPTCHA FROM HELL — A 60-second semantic typing gauntlet, judged in real time by TypeSafe Jev. (captcha-from-hell.vercel.app)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549992652693311580","sourceHandle":"DPR","sourceUrl":"https://captcha-from-hell.vercel.app/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T03:57:25.873000+00:00","origins":["community"]},{"id":"submission:discord-1549989924751671316","title":"Browser use speeds up so much with this","category":"Work","prompt":null,"description":"Browser use speeds up so much with this https://x.com/gregpr07/status/2100411066966749359?s=46\n\nLinked projects:\n• Post by @gregpr07 — Breaking: Browser Use + Jev = Ultrafast ⚡ Findings flights took 7s and cost only $0.0039 🤯 > new action space every step > DOM state space > small LLM fallback to type (this video is at 1x speed btw) Built a tiny open s (x.com/gregpr07/status/2100411066966749359)\n• Post by @gregpr07 — Breaking: Browser Use + Jev = Ultrafast ⚡ Findings flights took 7s and cost only $0.0039 🤯 > new action space every step > DOM state space > small LLM fallback to type (this video is at 1x speed btw) Built a tiny open s (twitter.com/gregpr07/status/2100411066966749359)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549989924751671316","story":"Browser use speeds up so much with this https://x.com/gregpr07/status/2100411066966749359?s=46\n\nLinked projects:\n• Post by @gregpr07 — Breaking: Browser Use + Jev = Ultrafast ⚡ Findings flights took 7s and cost only $0.0039 🤯 > new action space every step > DOM state space > small LLM fallback to type (this video is at 1x speed btw) Built a tiny open s (x.com/gregpr07/status/2100411066966749359)\n• Post by @gregpr07 — Breaking: Browser Use + Jev = Ultrafast ⚡ Findings flights took 7s and cost only $0.0039 🤯 > new action space every step > DOM state space > small LLM fallback to type (this video is at 1x speed btw) Built a tiny open s (twitter.com/gregpr07/status/2100411066966749359)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549989924751671316","sourceHandle":"Phat T Pham","sourceUrl":"https://x.com/gregpr07/status/2100411066966749359?s=46","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T03:46:35.481000+00:00","origins":["community"]},{"id":"submission:discord-1549984634584956998","title":"Hey! I’ve been playing around with Jev and built a small open-source experiment around it: **wince**. It’s a","category":"Integrations","prompt":null,"description":"Hey! I’ve been playing around with Jev and built a small open-source experiment around it: **wince**.\nIt’s a semantic review-attention router for code changes — it doesn’t review the code itself, but tries to tell you how carefully a diff should be reviewed, who should look at it, and why.\nI’m using Jev’s typed judgments for things like blast radius, auth/data-write changes, contract breaks, etc., while keeping the final scoring/routing deterministic.\nWould love any feedback, especially on whether this feels like a sensible use of System One:\n\nhttps://github.com/TinyFrontier/wince\n\nLinked projects:\n• TinyFrontier/wince — Routes human review attention: green/yellow/red for a diff and who should look. It doesn't review the code. Built on TypeSafe. - TinyFrontier/wince (github.com/TinyFrontier/wince)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549984634584956998","story":"Hey! I’ve been playing around with Jev and built a small open-source experiment around it: **wince**.\nIt’s a semantic review-attention router for code changes — it doesn’t review the code itself, but tries to tell you how carefully a diff should be reviewed, who should look at it, and why.\nI’m using Jev’s typed judgments for things like blast radius, auth/data-write changes, contract breaks, etc., while keeping the final scoring/routing deterministic.\nWould love any feedback, especially on whether this feels like a sensible use of System One:\n\nhttps://github.com/TinyFrontier/wince\n\nLinked projects:\n• TinyFrontier/wince — Routes human review attention: green/yellow/red for a diff and who should look. It doesn't review the code. Built on TypeSafe. - TinyFrontier/wince (github.com/TinyFrontier/wince)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549984634584956998","sourceHandle":"tiny_frontier","sourceUrl":"https://github.com/TinyFrontier/wince","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T03:25:34.207000+00:00","origins":["community"]},{"id":"submission:discord-1549981558083952701","title":"Hi all, I built a small POC using TypeSafe’s Choice primitive for Waitless, a Selenium UI-stabilization library.","category":"Money","prompt":null,"description":"Hi all, I built a small POC using TypeSafe’s Choice primitive for Waitless, a Selenium UI-stabilization library.\nAfter a stabilization timeout, TypeSafe examines an allowlisted diagnostic snapshot and recommends the first investigation :network activity, DOM churn, animations, WebSockets, etc. In the 10 cases  evaluation, the corrected deterministic baseline scored 90%, while TypeSafe scored 100% and correctly resolved the ambiguous mixed-signal case.\nStill early  but promising as an optional post-timeout debugging advisor. Feedback welcome!  https://github.com/godhiraj-code/waitless/tree/poc/typesafe-smart-doctor\n\nLinked projects:\n• godhiraj-code/waitless — Automatic UI stabilization for Selenium using DOM, network, animation, and layout signals. - godhiraj-code/waitless (github.com/godhiraj-code/waitless/tree/poc/typesafe-smart-doctor)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549981558083952701","story":"Hi all, I built a small POC using TypeSafe’s Choice primitive for Waitless, a Selenium UI-stabilization library.\nAfter a stabilization timeout, TypeSafe examines an allowlisted diagnostic snapshot and recommends the first investigation :network activity, DOM churn, animations, WebSockets, etc. In the 10 cases  evaluation, the corrected deterministic baseline scored 90%, while TypeSafe scored 100% and correctly resolved the ambiguous mixed-signal case.\nStill early  but promising as an optional post-timeout debugging advisor. Feedback welcome!  https://github.com/godhiraj-code/waitless/tree/poc/typesafe-smart-doctor\n\nLinked projects:\n• godhiraj-code/waitless — Automatic UI stabilization for Selenium using DOM, network, animation, and layout signals. - godhiraj-code/waitless (github.com/godhiraj-code/waitless/tree/poc/typesafe-smart-doctor)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549981558083952701","sourceHandle":"Dhiraj","sourceUrl":"https://github.com/godhiraj-code/waitless/tree/poc/typesafe-smart-doctor","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T03:13:20.712000+00:00","origins":["community"]},{"id":"submission:discord-1549981549858918421","title":"Got my API key few hours ago.","category":"Integrations","prompt":null,"description":"Got my API key few hours ago. Created a VsCode/Cursor extension for code rules.\n\nhttps://youtu.be/goVDTUd7-J0\n\nSource code: https://github.com/MrDesjardins/jevrealtimecodecheck\n\nI'll try something more complex soon! 🙂\n\nLinked projects:\n• Jev Demo with Cursor — Using https://docs.typesafe.ai/introduction to create deterministic decision using AI with very quick response (youtu.be/goVDTUd7-J0)\n• MrDesjardins/jevrealtimecodecheck — Contribute to MrDesjardins/jevrealtimecodecheck development by creating an account on GitHub. (github.com/MrDesjardins/jevrealtimecodecheck)\n• Jev Demo with Cursor — Using https://docs.typesafe.ai/introduction to create deterministic decision using AI with very quick response (youtube.com/watch)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549981549858918421","story":"Got my API key few hours ago. Created a VsCode/Cursor extension for code rules.\n\nhttps://youtu.be/goVDTUd7-J0\n\nSource code: https://github.com/MrDesjardins/jevrealtimecodecheck\n\nI'll try something more complex soon! 🙂\n\nLinked projects:\n• Jev Demo with Cursor — Using https://docs.typesafe.ai/introduction to create deterministic decision using AI with very quick response (youtu.be/goVDTUd7-J0)\n• MrDesjardins/jevrealtimecodecheck — Contribute to MrDesjardins/jevrealtimecodecheck development by creating an account on GitHub. (github.com/MrDesjardins/jevrealtimecodecheck)\n• Jev Demo with Cursor — Using https://docs.typesafe.ai/introduction to create deterministic decision using AI with very quick response (youtube.com/watch)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549981549858918421","sourceHandle":"Patrick","sourceUrl":"https://github.com/MrDesjardins/jevrealtimecodecheck","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T03:13:18.751000+00:00","origins":["community"]},{"id":"submission:discord-1549980892066357330","title":"i've been using something i built since yesterday morning up to now.","category":"Evaluation","prompt":null,"description":"i've been using something i built since yesterday morning up to now. it gives my coding agent a conscience, every action gets judged by jev in 250ms and it steers the agent accordingly\n\nso far i think jev is amazing to use together with LLMs 🤔 did anyone else built something similar im curious  i wanna see other approaches\n\nhttps://github.com/DevMortimer/pi-warden\n\nLinked projects:\n• DevMortimer/pi-warden — Guardrails for Pi built on pi-typesafe that steer the agent instead of interrupting you: Jev judges irreversible and off-task tool calls, detects stuck loops, checks unverified done claims, flags s... (github.com/DevMortimer/pi-warden)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549980892066357330","story":"i've been using something i built since yesterday morning up to now. it gives my coding agent a conscience, every action gets judged by jev in 250ms and it steers the agent accordingly\n\nso far i think jev is amazing to use together with LLMs 🤔 did anyone else built something similar im curious  i wanna see other approaches\n\nhttps://github.com/DevMortimer/pi-warden\n\nLinked projects:\n• DevMortimer/pi-warden — Guardrails for Pi built on pi-typesafe that steer the agent instead of interrupting you: Jev judges irreversible and off-task tool calls, detects stuck loops, checks unverified done claims, flags s... (github.com/DevMortimer/pi-warden)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549980892066357330","sourceHandle":"devmortimer24","sourceUrl":"https://github.com/DevMortimer/pi-warden","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T03:10:41.921000+00:00","origins":["community"]},{"id":"submission:discord-1549980520819986464","title":"JEV PLAYS POKEMON","category":"Work","prompt":null,"description":"JEV PLAYS POKEMON\n\nhttps://www.twitch.tv/holographicdan?tt_content=channel&tt_medium=mobile_web_share\n\nLinked projects:\n• Twitch — Twitch is the world's leading video platform and community for gamers. (twitch.tv/holographicdan)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549980520819986464","story":"JEV PLAYS POKEMON\n\nhttps://www.twitch.tv/holographicdan?tt_content=channel&tt_medium=mobile_web_share\n\nLinked projects:\n• Twitch — Twitch is the world's leading video platform and community for gamers. (twitch.tv/holographicdan)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549980520819986464","sourceHandle":"CYPRESS","sourceUrl":"https://www.twitch.tv/holographicdan?tt_content=channel&tt_medium=mobile_web_share","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T03:09:13.409000+00:00","origins":["community"]},{"id":"submission:discord-1549979900566306947","title":"i build a model x45 smaler but it Beats GPT-2 124M BYTE_BPC = 1.142985 (TOKEN_BPC = 9.152823) on the same metric","category":"Work","prompt":null,"description":"i build a model x45 smaler but it Beats GPT-2 124M BYTE_BPC = 1.142985 (TOKEN_BPC = 9.152823) on the same metric https://huggingface.co/Uuuuuuniiiiiii/goldworm-v6\n\nLinked projects:\n• Uuuuuuniiiiiii/goldworm-v6 · Hugging Face — We’re on a journey to advance and democratize artificial intelligence through open source and open science. (huggingface.co/Uuuuuuniiiiiii/goldworm-v6)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549979900566306947","story":"i build a model x45 smaler but it Beats GPT-2 124M BYTE_BPC = 1.142985 (TOKEN_BPC = 9.152823) on the same metric https://huggingface.co/Uuuuuuniiiiiii/goldworm-v6\n\nLinked projects:\n• Uuuuuuniiiiiii/goldworm-v6 · Hugging Face — We’re on a journey to advance and democratize artificial intelligence through open source and open science. (huggingface.co/Uuuuuuniiiiiii/goldworm-v6)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549979900566306947","sourceHandle":"DARK(uniency.com)Sudocorn","sourceUrl":"https://huggingface.co/Uuuuuuniiiiiii/goldworm-v6","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T03:06:45.529000+00:00","origins":["community"]},{"id":"submission:discord-1549978624466362520","title":"jev as the combat AI for ultima online.","category":"Health","prompt":null,"description":"https://www.youtube.com/watch?v=cP-GWKteHKo\n\njev as the combat AI for ultima online.\n\nJev is determining the position the player should be in at all times, we only move where Jev says to be based on tilePriority question we feed to Jev.  \n\nJev decides to escape enemies when we are low on health, pursue enemies when they flee and we have the upper-hand, or venture deeper into the dungeon to find new targets when none are available.\n\nJev decides if we should be looting, or fighting, or looking for a new target, or giving up\n\nwhen looting it chooses what to loot\n\nLinked projects:\n• Jev as the combat AI for Ultima Online — I was granted access to TypeSafe's \"System One\" Model, Jev. I let drive combat and make real-time combat decisions. No more deterministic combat scripting l... (youtube.com/watch)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549978624466362520","story":"https://www.youtube.com/watch?v=cP-GWKteHKo\n\njev as the combat AI for ultima online.\n\nJev is determining the position the player should be in at all times, we only move where Jev says to be based on tilePriority question we feed to Jev.  \n\nJev decides to escape enemies when we are low on health, pursue enemies when they flee and we have the upper-hand, or venture deeper into the dungeon to find new targets when none are available.\n\nJev decides if we should be looting, or fighting, or looking for a new target, or giving up\n\nwhen looting it chooses what to loot\n\nLinked projects:\n• Jev as the combat AI for Ultima Online — I was granted access to TypeSafe's \"System One\" Model, Jev. I let drive combat and make real-time combat decisions. No more deterministic combat scripting l... (youtube.com/watch)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549978624466362520","sourceHandle":"autorokk","sourceUrl":"https://www.youtube.com/watch?v=cP-GWKteHKo","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T03:01:41.283000+00:00","origins":["community"]},{"id":"submission:discord-1549975455975604244","title":"Hey! For the past few months I've been building simulated sandboxes as an approach to buid safer ai","category":"Home","prompt":null,"description":"Hey! For the past few months I've been building simulated sandboxes as an approach to buid safer ai agents.\n\nIf you want to see how your ai agents will behave when interacting with live APIs, databases or MCP tools. One bad call can burn through rate limits or accidentally wipe an entire database.\n\nTo solve this we're building Digital Twins which are simulated sandbox environments of different APIs. You can use these to test your agents without touching live endpoints or having to worry about maintain your testing infrastructure. \n\nEven with Jev, you still need a testing framework to build production agents and pome can help with this 😁 \n\nGitHub: https://github.com/pome-sh/digital-twins\n\nLinked projects:\n• pome-sh/digital-twins — Test mode for your integrations, built for the way agents build. - pome-sh/digital-twins (github.com/pome-sh/digital-twins)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549975455975604244","story":"Hey! For the past few months I've been building simulated sandboxes as an approach to buid safer ai agents.\n\nIf you want to see how your ai agents will behave when interacting with live APIs, databases or MCP tools. One bad call can burn through rate limits or accidentally wipe an entire database.\n\nTo solve this we're building Digital Twins which are simulated sandbox environments of different APIs. You can use these to test your agents without touching live endpoints or having to worry about maintain your testing infrastructure. \n\nEven with Jev, you still need a testing framework to build production agents and pome can help with this 😁 \n\nGitHub: https://github.com/pome-sh/digital-twins\n\nLinked projects:\n• pome-sh/digital-twins — Test mode for your integrations, built for the way agents build. - pome-sh/digital-twins (github.com/pome-sh/digital-twins)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549975455975604244","sourceHandle":"hades","sourceUrl":"https://github.com/pome-sh/digital-twins","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T02:49:05.856000+00:00","origins":["community"]},{"id":"submission:discord-1549974880089284748","title":"Gonna be do some fact checking and breed matching in based on my early tests, can answer: > \"allergic kid, first dog,","category":"Home","prompt":null,"description":"Gonna be do some fact checking and breed matching in https://dogapi.dog, based on my early tests, can answer:\n> \"allergic kid, first dog, gone 8h a day\"\ngonna see how it scales with the current dataset I have since one is one-off and the other is as a service\n\nLinked projects:\n• Free JSON API for Dog Breeds, Pictures, Groups and Facts | Dog API — A free JSON API with 283 dog breeds, 9 breed groups, 483 dog facts, and 2,354 pictures. No key, no sign up, nothing to pay. (dogapi.dog)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549974880089284748","story":"Gonna be do some fact checking and breed matching in https://dogapi.dog, based on my early tests, can answer:\n> \"allergic kid, first dog, gone 8h a day\"\ngonna see how it scales with the current dataset I have since one is one-off and the other is as a service\n\nLinked projects:\n• Free JSON API for Dog Breeds, Pictures, Groups and Facts | Dog API — A free JSON API with 283 dog breeds, 9 breed groups, 483 dog facts, and 2,354 pictures. No key, no sign up, nothing to pay. (dogapi.dog)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549974880089284748","sourceHandle":"kinduff","sourceUrl":"https://dogapi.dog","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T02:46:48.554000+00:00","origins":["community"]},{"id":"submission:discord-1549972537780215808","title":"found me the one comment in this reddit post that was relevant to my query nice - open to more ideas in this direction","category":"Social","prompt":null,"description":"found me the one comment in this reddit post that was relevant to my query nice - open to more ideas in this direction lol\n\nLinked projects:\n• image.png — image/png · 271 KB (cdn.discordapp.com/attachments/1483217545040232493/1549972535905488927)","story":"found me the one comment in this reddit post that was relevant to my query nice - open to more ideas in this direction lol\n\nLinked projects:\n• image.png — image/png · 271 KB (cdn.discordapp.com/attachments/1483217545040232493/1549972535905488927)","sourceHandle":"hawkyre","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549972537780215808","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T02:37:30.104000+00:00","origins":["community"]},{"id":"submission:discord-1549971186216210434","title":"Still need to clean it up a bit, but feel free to 1 v 1 Jev!","category":"Work","prompt":null,"description":"Still need to clean it up a bit, but feel free to 1 v 1 Jev! on rust: https://onevonejev-production.up.railway.app/\n\nLinked projects:\n• 1v1 Jev — Quickscope Arena (onevonejev-production.up.railway.app)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549971186216210434","story":"Still need to clean it up a bit, but feel free to 1 v 1 Jev! on rust: https://onevonejev-production.up.railway.app/\n\nLinked projects:\n• 1v1 Jev — Quickscope Arena (onevonejev-production.up.railway.app)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549971186216210434","sourceHandle":"West Taiwan","sourceUrl":"https://onevonejev-production.up.railway.app/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T02:32:07.866000+00:00","origins":["community"]},{"id":"submission:discord-1549969206508789932","title":"Shared by Meliwat: Meliwat93 status 2100404711283188181 video 1","category":"Work","prompt":null,"description":"https://x.com/Meliwat93/status/2100404711283188181/video/1?s=46\n\nLinked projects:\n• Post by @Meliwat93 — I got access to Jev! I had it play NES tetris! (x.com/Meliwat93/status/2100404711283188181/video/1)\n• Post by @Meliwat93 — I got access to Jev! I had it play NES tetris! (twitter.com/Meliwat93/status/2100404711283188181/video/1)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549969206508789932","story":"https://x.com/Meliwat93/status/2100404711283188181/video/1?s=46\n\nLinked projects:\n• Post by @Meliwat93 — I got access to Jev! I had it play NES tetris! (x.com/Meliwat93/status/2100404711283188181/video/1)\n• Post by @Meliwat93 — I got access to Jev! I had it play NES tetris! (twitter.com/Meliwat93/status/2100404711283188181/video/1)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549969206508789932","sourceHandle":"Meliwat","sourceUrl":"https://x.com/Meliwat93/status/2100404711283188181/video/1?s=46","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T02:24:15.867000+00:00","origins":["community"]},{"id":"submission:discord-1549966801801191444","title":"while learning jev i came up with these 10 rule of thumbs to remember when and how to use jev","category":"Work","prompt":null,"description":"while learning jev i came up with these 10 rule of thumbs to remember when and how to use jev https://old.reddit.com/r/typesafe_ai/comments/1wiguah/10_jev_commandments/\n\nLinked projects:\n• Welcome to Reddit — Log in or sign up to personalize your feed, join conversations, vote, and explore communities. (old.reddit.com/r/typesafe_ai/comments/1wiguah/10_jev_commandments)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549966801801191444","story":"while learning jev i came up with these 10 rule of thumbs to remember when and how to use jev https://old.reddit.com/r/typesafe_ai/comments/1wiguah/10_jev_commandments/\n\nLinked projects:\n• Welcome to Reddit — Log in or sign up to personalize your feed, join conversations, vote, and explore communities. (old.reddit.com/r/typesafe_ai/comments/1wiguah/10_jev_commandments)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549966801801191444","sourceHandle":"zuzu","sourceUrl":"https://old.reddit.com/r/typesafe_ai/comments/1wiguah/10_jev_commandments/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T02:14:42.540000+00:00","origins":["community"]},{"id":"submission:discord-1549966321427554446","title":"A prototype of how Jev works architecturally [just basis]","category":"Integrations","prompt":null,"description":"https://github.com/MrQuartz99/Qwansh\nA prototype of how Jev works architecturally [just basis]\n\nLinked projects:\n• MrQuartz99/Qwansh — Contribute to MrQuartz99/Qwansh development by creating an account on GitHub. (github.com/MrQuartz99/Qwansh)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549966321427554446","story":"https://github.com/MrQuartz99/Qwansh\nA prototype of how Jev works architecturally [just basis]\n\nLinked projects:\n• MrQuartz99/Qwansh — Contribute to MrQuartz99/Qwansh development by creating an account on GitHub. (github.com/MrQuartz99/Qwansh)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549966321427554446","sourceHandle":"MrQuartz","sourceUrl":"https://github.com/MrQuartz99/Qwansh","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T02:12:48.010000+00:00","origins":["community"]},{"id":"submission:discord-1549965321832636539","title":"trying jev out as a model router in t3 code:","category":"Work","prompt":null,"description":"trying jev out as a model router in t3 code:\nhttps://x.com/abcdmku/status/2100406369744482318?s=20\n\nLinked projects:\n• Post by @abcdmku — Using @typesafeai jev in a auto model router POC in @t3dotcodes (x.com/abcdmku/status/2100406369744482318)\n• Post by @abcdmku — Using @typesafeai jev in a auto model router POC in @t3dotcodes (twitter.com/abcdmku/status/2100406369744482318)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549965321832636539","story":"trying jev out as a model router in t3 code:\nhttps://x.com/abcdmku/status/2100406369744482318?s=20\n\nLinked projects:\n• Post by @abcdmku — Using @typesafeai jev in a auto model router POC in @t3dotcodes (x.com/abcdmku/status/2100406369744482318)\n• Post by @abcdmku — Using @typesafeai jev in a auto model router POC in @t3dotcodes (twitter.com/abcdmku/status/2100406369744482318)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549965321832636539","sourceHandle":"abcdmku","sourceUrl":"https://x.com/abcdmku/status/2100406369744482318?s=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T02:08:49.688000+00:00","origins":["community"]},{"id":"submission:discord-1549964361362309130","title":"so i've been experimenting with my architecture that aimed to replicate model one's architecture, judging by logprobs.","category":"Fun","prompt":null,"description":"so i've been experimenting with my architecture that aimed to replicate model one's architecture, judging by logprobs. I've succeeded in replicating it, and I was able to run multimodal llm's such as qwen with the new inference harness, and then to test it out, i switched to a 4b model and ran doom emulator. Since im very limited in compute and memory its heavily labotomized (4b param model lol) but it was able to kill some enemies based off of just the image of the game. looking promising so far, planning on opensourcing this soon\n\nLinked projects:\n• doom.mp4 — video/mp4 · 14 MB (cdn.discordapp.com/attachments/1483217545040232493/1549964360120664166)","story":"so i've been experimenting with my architecture that aimed to replicate model one's architecture, judging by logprobs. I've succeeded in replicating it, and I was able to run multimodal llm's such as qwen with the new inference harness, and then to test it out, i switched to a 4b model and ran doom emulator. Since im very limited in compute and memory its heavily labotomized (4b param model lol) but it was able to kill some enemies based off of just the image of the game. looking promising so far, planning on opensourcing this soon\n\nLinked projects:\n• doom.mp4 — video/mp4 · 14 MB (cdn.discordapp.com/attachments/1483217545040232493/1549964360120664166)","sourceHandle":"Umut      ᲼᲼᲼᲼᲼᲼   ᲼ 🗕 🗗 🗙","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549964361362309130","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T02:05:00.694000+00:00","origins":["community"]},{"id":"submission:discord-1549964211701026846","title":"Okay yeah Jev is really solid as a simple gamemaster for text RPGs - the speed and reasonableness of its decision","category":"Fun","prompt":null,"description":"Okay yeah Jev is really solid as a simple gamemaster for text RPGs - \nthe speed and reasonableness of its decision making has been definitely best that I've seen.\nAble to: \ndetermine if what you're trying even makes sense, or if you have the means to do it\ndifficulty\nwhether you have advantage or disadvantage in the situation\nwhat ability score you need\nand it does this with no perceptible delay\n\nLinked projects:\n• Screenshot_2026-09-17_040212.png — image/png · 291 KB (cdn.discordapp.com/attachments/1483217545040232493/1549964211424333824)","story":"Okay yeah Jev is really solid as a simple gamemaster for text RPGs - \nthe speed and reasonableness of its decision making has been definitely best that I've seen.\nAble to: \ndetermine if what you're trying even makes sense, or if you have the means to do it\ndifficulty\nwhether you have advantage or disadvantage in the situation\nwhat ability score you need\nand it does this with no perceptible delay\n\nLinked projects:\n• Screenshot_2026-09-17_040212.png — image/png · 291 KB (cdn.discordapp.com/attachments/1483217545040232493/1549964211424333824)","sourceHandle":"Fatalfencer","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549964211701026846","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T02:04:25.012000+00:00","origins":["community"]},{"id":"submission:discord-1549962083234353325","title":"I got Jev to help users around a website based on their prompt!","category":"Work","prompt":null,"description":"I got Jev to help users around a website based on their prompt!\n\nhttps://x.com/digitalshane_/status/2100399951872205224?s=46&t=IUH0numJ2wxvHLmj8vkKzg\n\nLinked projects:\n• Post by @digitalshane_ — I got access to Jev! It can route website visitors to the pages they need based on what they need help with! (x.com/digitalshane_/status/2100399951872205224)\n• Post by @digitalshane_ — I got access to Jev! It can route website visitors to the pages they need based on what they need help with! (twitter.com/digitalshane_/status/2100399951872205224)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549962083234353325","story":"I got Jev to help users around a website based on their prompt!\n\nhttps://x.com/digitalshane_/status/2100399951872205224?s=46&t=IUH0numJ2wxvHLmj8vkKzg\n\nLinked projects:\n• Post by @digitalshane_ — I got access to Jev! It can route website visitors to the pages they need based on what they need help with! (x.com/digitalshane_/status/2100399951872205224)\n• Post by @digitalshane_ — I got access to Jev! It can route website visitors to the pages they need based on what they need help with! (twitter.com/digitalshane_/status/2100399951872205224)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549962083234353325","sourceHandle":"shaneomac151","sourceUrl":"https://x.com/digitalshane_/status/2100399951872205224?s=46&t=IUH0numJ2wxvHLmj8vkKzg","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T01:55:57.546000+00:00","origins":["community"]},{"id":"submission:discord-1549960725974491258","title":"I'll shoot a video in a few hours (it's 4 AM now lol), but essentially I built with GPT Astra, a JFK airport","category":"Work","prompt":null,"description":"I'll shoot a video in a few hours (it's 4 AM now lol), but essentially I built with GPT Astra, a JFK airport simulation where both ATC and pilots are GPT Live 1 realtime voice agents, while ATC decisions and traffic conflicts are handled by Jev.\n\nI haven't been this excited about building something since the GPT-4 days.\n\nLinked projects:\n• Screenshot_from_2026-09-17_03-47-12.png — image/png · 232 KB (cdn.discordapp.com/attachments/1483217545040232493/1549960725655593120)","story":"I'll shoot a video in a few hours (it's 4 AM now lol), but essentially I built with GPT Astra, a JFK airport simulation where both ATC and pilots are GPT Live 1 realtime voice agents, while ATC decisions and traffic conflicts are handled by Jev.\n\nI haven't been this excited about building something since the GPT-4 days.\n\nLinked projects:\n• Screenshot_from_2026-09-17_03-47-12.png — image/png · 232 KB (cdn.discordapp.com/attachments/1483217545040232493/1549960725655593120)","sourceHandle":"Alessandro Frau","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549960725974491258","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T01:50:33.950000+00:00","origins":["community"]},{"id":"submission:discord-1549960579010265148","title":"built a code review bot using jev!","category":"Work","prompt":null,"description":"built a code review bot using jev!\nhttps://x.com/devagrawal09/status/2100341005690298687?s=20\n\nLinked projects:\n• Post by @devagrawal09 — Built Jev Review: a small code-review workflow powered by @typesafeai Jev. It screens Git diffs, follows strong signals through staged judgments, and presents the results in a clean local dashboard. https://github.com/de (x.com/devagrawal09/status/2100341005690298687)\n• Post by @devagrawal09 — Built Jev Review: a small code-review workflow powered by @typesafeai Jev. It screens Git diffs, follows strong signals through staged judgments, and presents the results in a clean local dashboard. https://github.com/de (twitter.com/devagrawal09/status/2100341005690298687)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549960579010265148","story":"built a code review bot using jev!\nhttps://x.com/devagrawal09/status/2100341005690298687?s=20\n\nLinked projects:\n• Post by @devagrawal09 — Built Jev Review: a small code-review workflow powered by @typesafeai Jev. It screens Git diffs, follows strong signals through staged judgments, and presents the results in a clean local dashboard. https://github.com/de (x.com/devagrawal09/status/2100341005690298687)\n• Post by @devagrawal09 — Built Jev Review: a small code-review workflow powered by @typesafeai Jev. It screens Git diffs, follows strong signals through staged judgments, and presents the results in a clean local dashboard. https://github.com/de (twitter.com/devagrawal09/status/2100341005690298687)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549960579010265148","sourceHandle":"devagr","sourceUrl":"https://x.com/devagrawal09/status/2100341005690298687?s=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T01:49:58.911000+00:00","origins":["community"]},{"id":"submission:discord-1549958863577424064","title":"For some reason it loves C4","category":"Work","prompt":null,"description":"For some reason it loves C4\n\nhttps://x.com/BaselAshraf81/status/2100400028711805242?s=20\n\nLinked projects:\n• Post by @BaselAshraf81 — I made @typesafeai 's Jev play the piano and NO, it cannot. I fed it the previous notes in the state, even adding some notes from Happy Birthday in the middle, and it just doesn't make anything audibly good. 5 bucks on t (x.com/BaselAshraf81/status/2100400028711805242)\n• Post by @BaselAshraf81 — I made @typesafeai 's Jev play the piano and NO, it cannot. I fed it the previous notes in the state, even adding some notes from Happy Birthday in the middle, and it just doesn't make anything audibly good. 5 bucks on t (twitter.com/BaselAshraf81/status/2100400028711805242)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549958863577424064","story":"For some reason it loves C4\n\nhttps://x.com/BaselAshraf81/status/2100400028711805242?s=20\n\nLinked projects:\n• Post by @BaselAshraf81 — I made @typesafeai 's Jev play the piano and NO, it cannot. I fed it the previous notes in the state, even adding some notes from Happy Birthday in the middle, and it just doesn't make anything audibly good. 5 bucks on t (x.com/BaselAshraf81/status/2100400028711805242)\n• Post by @BaselAshraf81 — I made @typesafeai 's Jev play the piano and NO, it cannot. I fed it the previous notes in the state, even adding some notes from Happy Birthday in the middle, and it just doesn't make anything audibly good. 5 bucks on t (twitter.com/BaselAshraf81/status/2100400028711805242)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549958863577424064","sourceHandle":"El_7AWY","sourceUrl":"https://x.com/BaselAshraf81/status/2100400028711805242?s=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T01:43:09.920000+00:00","origins":["community"]},{"id":"submission:discord-1549958210700443670","title":"here is the thread if anyone wanna comment","category":"Social","prompt":null,"description":"here is the thread if anyone wanna comment https://x.com/anessbelbati/status/2100398911911248050?s=20\n\nLinked projects:\n• Post by @anessbelbati — i gave jev a reranker's job. 8 datasets, 2,327 questions, 30 results each, vs cohere rerank 4 pro and zerank-2 ndcg@10 averaged per dataset: jev 0.692, cohere 0.691 averaged per question: cohere 0.756, jev 0.738 no clean (x.com/anessbelbati/status/2100398911911248050)\n• Post by @anessbelbati — i gave jev a reranker's job. 8 datasets, 2,327 questions, 30 results each, vs cohere rerank 4 pro and zerank-2 ndcg@10 averaged per dataset: jev 0.692, cohere 0.691 averaged per question: cohere 0.756, jev 0.738 no clean (twitter.com/anessbelbati/status/2100398911911248050)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549958210700443670","story":"here is the thread if anyone wanna comment https://x.com/anessbelbati/status/2100398911911248050?s=20\n\nLinked projects:\n• Post by @anessbelbati — i gave jev a reranker's job. 8 datasets, 2,327 questions, 30 results each, vs cohere rerank 4 pro and zerank-2 ndcg@10 averaged per dataset: jev 0.692, cohere 0.691 averaged per question: cohere 0.756, jev 0.738 no clean (x.com/anessbelbati/status/2100398911911248050)\n• Post by @anessbelbati — i gave jev a reranker's job. 8 datasets, 2,327 questions, 30 results each, vs cohere rerank 4 pro and zerank-2 ndcg@10 averaged per dataset: jev 0.692, cohere 0.691 averaged per question: cohere 0.756, jev 0.738 no clean (twitter.com/anessbelbati/status/2100398911911248050)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549958210700443670","sourceHandle":"nss","sourceUrl":"https://x.com/anessbelbati/status/2100398911911248050?s=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T01:40:34.262000+00:00","origins":["community"]},{"id":"submission:discord-1549958123043954718","title":"posted the article, thanks for the ok.","category":"Evaluation","prompt":null,"description":"<@81830765507117056> posted the article, thanks for the ok. jev vs cohere rerank 4 pro and zerank-2 on 8 datasets, plus negation tests: https://anessbelbati.com/blog/i-gave-jev-a-rerankers-job\n\nLinked projects:\n• I gave Jev a reranker's job. — Jev, Cohere, ZeroEntropy and a small Qwen model, reranking the same search results. (anessbelbati.com/blog/i-gave-jev-a-rerankers-job)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549958123043954718","story":"<@81830765507117056> posted the article, thanks for the ok. jev vs cohere rerank 4 pro and zerank-2 on 8 datasets, plus negation tests: https://anessbelbati.com/blog/i-gave-jev-a-rerankers-job\n\nLinked projects:\n• I gave Jev a reranker's job. — Jev, Cohere, ZeroEntropy and a small Qwen model, reranking the same search results. (anessbelbati.com/blog/i-gave-jev-a-rerankers-job)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549958123043954718","sourceHandle":"nss","sourceUrl":"https://anessbelbati.com/blog/i-gave-jev-a-rerankers-job","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T01:40:13.363000+00:00","origins":["community"]},{"id":"submission:discord-1549957697175031929","title":"i think my small ai experiment is not needed - with the amount of new products that just came out in a day here!","category":"Work","prompt":null,"description":"i think my small https://jevboard.com/ ai experiment is not needed - with the amount of new products that just came out in a day here!\n\nLinked projects:\n• Jev Board — What should we build next? — Discover product ideas for Jev. Heart the ideas you want someone to build. An independent, community-ranked directory. (jevboard.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549957697175031929","story":"i think my small https://jevboard.com/ ai experiment is not needed - with the amount of new products that just came out in a day here!\n\nLinked projects:\n• Jev Board — What should we build next? — Discover product ideas for Jev. Heart the ideas you want someone to build. An independent, community-ranked directory. (jevboard.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549957697175031929","sourceHandle":"BlissF00l","sourceUrl":"https://jevboard.com/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T01:38:31.828000+00:00","origins":["community"]},{"id":"submission:discord-1549955902453452990","title":"Did some testing on sentiment analysis on gmaps reviews, jev is 227x cheaper and as accurate as opus 5 medium !","category":"Evaluation","prompt":null,"description":"https://x.com/aaiach01/status/2100396887207776380\n\nDid some testing on sentiment analysis on gmaps reviews, jev is 227x cheaper and as accurate as opus 5 medium ! <@638223584396967937>\n\nLinked projects:\n• Post by @aaiach01 — Jev is as good as Opus 5 for guessing stars on google maps reviews (x.com/aaiach01/status/2100396887207776380)\n• Post by @aaiach01 — Jev is as good as Opus 5 for guessing stars on google maps reviews (twitter.com/aaiach01/status/2100396887207776380)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549955902453452990","story":"https://x.com/aaiach01/status/2100396887207776380\n\nDid some testing on sentiment analysis on gmaps reviews, jev is 227x cheaper and as accurate as opus 5 medium ! <@638223584396967937>\n\nLinked projects:\n• Post by @aaiach01 — Jev is as good as Opus 5 for guessing stars on google maps reviews (x.com/aaiach01/status/2100396887207776380)\n• Post by @aaiach01 — Jev is as good as Opus 5 for guessing stars on google maps reviews (twitter.com/aaiach01/status/2100396887207776380)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549955902453452990","sourceHandle":"aaiach","sourceUrl":"https://x.com/aaiach01/status/2100396887207776380","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T01:31:23.933000+00:00","origins":["community"]},{"id":"submission:discord-1549955757938835499","title":"Judgments Model Time Total tokens¹ Estimated cost² 60 Jev 0.53 s 23,976 $0.000962 60 Terra 51.16 s 89,743 $0.0657 60","category":"Work","prompt":null,"description":"Judgments    Model    Time    Total tokens¹    Estimated cost²\n60    Jev    0.53 s    23,976    $0.000962\n60    Terra    51.16 s    89,743    $0.0657\n60    Sol    80.97 s    91,055    $0.1439\n60    Astra    38.85 s    81,135    $0.2130\n150    Jev    0.68 s    41,384    $0.001623\n150    Terra    65.37 s    92,127    $0.0784\n150    Sol    97.55 s    93,666    $0.1699\n150    Astra    76.28 s    84,077    $0.2949","story":"Judgments    Model    Time    Total tokens¹    Estimated cost²\n60    Jev    0.53 s    23,976    $0.000962\n60    Terra    51.16 s    89,743    $0.0657\n60    Sol    80.97 s    91,055    $0.1439\n60    Astra    38.85 s    81,135    $0.2130\n150    Jev    0.68 s    41,384    $0.001623\n150    Terra    65.37 s    92,127    $0.0784\n150    Sol    97.55 s    93,666    $0.1699\n150    Astra    76.28 s    84,077    $0.2949","sourceHandle":"dreliq9","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549955757938835499","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T01:30:49.478000+00:00","origins":["community"]},{"id":"submission:discord-1549955263132602460","title":"Yeah, with Jev, I do wonder if that kind of context engine feature I tried back...","category":"Home","prompt":null,"description":"Yeah, with Jev, I do wonder if that kind of context engine feature I tried back... It must be two years ago now... Whether it would become viable with Jev, and actually worthwhile. That'd need genuinely consistent, smart, cheap performance. Only question is whether Jev can understand all the minute nuances, coherently choosing what is worth including in the \"send to LLM turn\" bin.","story":"Yeah, with Jev, I do wonder if that kind of context engine feature I tried back... It must be two years ago now... Whether it would become viable with Jev, and actually worthwhile. That'd need genuinely consistent, smart, cheap performance. Only question is whether Jev can understand all the minute nuances, coherently choosing what is worth including in the \"send to LLM turn\" bin.","sourceHandle":"Dr. Fumes","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549955263132602460","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T01:28:51.507000+00:00","origins":["community"]},{"id":"submission:discord-1549954747417628713","title":"still playing with it but thought it would be cool to make a ctrl f based on relevance instead of exact matching.","category":"Work","prompt":null,"description":"still playing with it but thought it would be cool to make a ctrl f based on relevance instead of exact matching. seems to work great. text is weird because reddit cant let me type some letters lol fixing that rn\n\nLinked projects:\n• image.png — image/png · 76 KB (cdn.discordapp.com/attachments/1483217545040232493/1549954744439808112)","story":"still playing with it but thought it would be cool to make a ctrl f based on relevance instead of exact matching. seems to work great. text is weird because reddit cant let me type some letters lol fixing that rn\n\nLinked projects:\n• image.png — image/png · 76 KB (cdn.discordapp.com/attachments/1483217545040232493/1549954744439808112)","sourceHandle":"hawkyre","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549954747417628713","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T01:26:48.551000+00:00","origins":["community"]},{"id":"submission:discord-1549954453325484053","title":"I worked on a harness in the past that used a per-turn evaluation of relevant past context, but daily driving and","category":"Admin","prompt":null,"description":"I worked on a harness in the past that used a per-turn evaluation of relevant past context, but daily driving and using it at scale was obviously prohibitively expensive, and \"cheap, dumb\" LLMs can make a lot of mistakes and have inconsistent performance. That was just one possible harness feature that wasn't very viable. And later, providers started relying on cross-turn data.","story":"I worked on a harness in the past that used a per-turn evaluation of relevant past context, but daily driving and using it at scale was obviously prohibitively expensive, and \"cheap, dumb\" LLMs can make a lot of mistakes and have inconsistent performance. That was just one possible harness feature that wasn't very viable. And later, providers started relying on cross-turn data.","sourceHandle":"Dr. Fumes","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549954453325484053","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T01:25:38.434000+00:00","origins":["community"]},{"id":"submission:discord-1549953362861097000","title":"Completed: **three fresh agents, identical 15 routing judgments, medium reasoning, one run each.** | Model | Elapsed |","category":"Money","prompt":null,"description":"Completed: **three fresh agents, identical 15 routing judgments, medium reasoning, one run each.**\n\n| Model | Elapsed | Input tokens | Cached input¹ | Output² | Estimated cost: standard / fast |\n|---|---:|---:|---:|---:|---:|\n| **Jev** | **0.267 s** | **15,086** | — | **233** | **$0.000634** |\n| Terra | 37.2 s | 198,306 | 140,544 | 1,637 | $0.163 / $0.327 |\n| Sol | 79.5 s | 146,323 | 87,936 | 3,132 | $0.331 / $0.663 |\n| Astra | 28.2 s | 138,473 | 82,432 | 490 | $0.667 / $1.335 |\n\n¹ Already included in input; charged at discounted rates.  \n² Includes reasoning tokens.\n\nThe current **standard prices per million tokens** are:\n\n| Model | Input | Cached input | Output |\n|---|---:|---:|---:|\n| Jev | $0.042 | — | $0 |\n| Terra | $2 | $0.20 | $12 |\n| Sol | $4 | $0.40 | $20 |\n| Astra | $10 | $1 | $50 |\nGPT Fast API rates are twice these standard rates. These are **API-equivalent estimates, not measured invoice charges**; the agents ran through\n\nLinked projects:\n• Pricing | OpenAI API — Pricing information for the OpenAI platform. (developers.openai.com/api/docs/pricing)\n• Pricing | ChatGPT Learn — ChatGPT Work and Codex are included in your ChatGPT Free, Go, Plus, Pro, Business, Edu, or Enterprise plan (learn.chatgpt.com/docs/pricing)\n• Parallel questions - TypeSafe AI — Runs a 13-question regulatory briefing over the GDPR Wikipedia article, showing that batching every question into one TypeSafe call is 12.2x cheaper and 10.0x faster with no change in answers. (docs.typesafe.ai/cookbooks/parallel_questions)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549953362861097000","story":"Completed: **three fresh agents, identical 15 routing judgments, medium reasoning, one run each.**\n\n| Model | Elapsed | Input tokens | Cached input¹ | Output² | Estimated cost: standard / fast |\n|---|---:|---:|---:|---:|---:|\n| **Jev** | **0.267 s** | **15,086** | — | **233** | **$0.000634** |\n| Terra | 37.2 s | 198,306 | 140,544 | 1,637 | $0.163 / $0.327 |\n| Sol | 79.5 s | 146,323 | 87,936 | 3,132 | $0.331 / $0.663 |\n| Astra | 28.2 s | 138,473 | 82,432 | 490 | $0.667 / $1.335 |\n\n¹ Already included in input; charged at discounted rates.  \n² Includes reasoning tokens.\n\nThe current **standard prices per million tokens** are:\n\n| Model | Input | Cached input | Output |\n|---|---:|---:|---:|\n| Jev | $0.042 | — | $0 |\n| Terra | $2 | $0.20 | $12 |\n| Sol | $4 | $0.40 | $20 |\n| Astra | $10 | $1 | $50 |\nGPT Fast API rates are twice these standard rates. These are **API-equivalent estimates, not measured invoice charges**; the agents ran through\n\nLinked projects:\n• Pricing | OpenAI API — Pricing information for the OpenAI platform. (developers.openai.com/api/docs/pricing)\n• Pricing | ChatGPT Learn — ChatGPT Work and Codex are included in your ChatGPT Free, Go, Plus, Pro, Business, Edu, or Enterprise plan (learn.chatgpt.com/docs/pricing)\n• Parallel questions - TypeSafe AI — Runs a 13-question regulatory briefing over the GDPR Wikipedia article, showing that batching every question into one TypeSafe call is 12.2x cheaper and 10.0x faster with no change in answers. (docs.typesafe.ai/cookbooks/parallel_questions)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549953362861097000","sourceHandle":"dreliq9","sourceUrl":"https://developers.openai.com/api/docs/pricing","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T01:21:18.447000+00:00","origins":["community"]},{"id":"submission:discord-1549953052465963099","title":"Jev + Coding harness!","category":"Work","prompt":null,"description":"Jev + Coding harness! \nMy 2 cents and its been a positive experiment great work Typesafers ❤️ \nhttps://empryo.com/blog/jev-and-the-harness\n---\nif you wanna try it, bring a key and do /typesafe in https://Empryo.com/download\n\nLinked projects:\n• Software needs decisions, not chat: testing TypeSafe's Jev inside Empryo — TypeSafe AI launched Jev, a System One decision model that skips text generation to answer typed questions in 200ms for $0.00002. I wired it into Empryo across five decision points, benchmarked it against frontier models (empryo.com/blog/jev-and-the-harness)\n• Download · Empryo — Install Empryo on macOS, Linux, or Windows with one command. Bring your own model key or run local models for free. The AI coding agent that edits symbols, not strings. (empryo.com/download)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549953052465963099","story":"Jev + Coding harness! \nMy 2 cents and its been a positive experiment great work Typesafers ❤️ \nhttps://empryo.com/blog/jev-and-the-harness\n---\nif you wanna try it, bring a key and do /typesafe in https://Empryo.com/download\n\nLinked projects:\n• Software needs decisions, not chat: testing TypeSafe's Jev inside Empryo — TypeSafe AI launched Jev, a System One decision model that skips text generation to answer typed questions in 200ms for $0.00002. I wired it into Empryo across five decision points, benchmarked it against frontier models (empryo.com/blog/jev-and-the-harness)\n• Download · Empryo — Install Empryo on macOS, Linux, or Windows with one command. Bring your own model key or run local models for free. The AI coding agent that edits symbols, not strings. (empryo.com/download)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549953052465963099","sourceHandle":"Proxy Soul","sourceUrl":"https://empryo.com/blog/jev-and-the-harness","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T01:20:04.443000+00:00","origins":["community"]},{"id":"submission:discord-1549951856896381010","title":"Yeah, those handoffs are exactly where I’d experiment.","category":"Evaluation","prompt":null,"description":"Yeah, those handoffs are exactly where I’d experiment. Give Jev a narrow question with explicit criteria, then let code decide whether to advance, retry, or escalate. Keep tests as hard gates.\n\nWhich handoff burns the most retries in your setup? I built a tool that handles calls to automated phone systems that our staff would otherwise make manually. I’m adding Jev at the decision points to evaluate the call state against explicit criteria, with code controlling what happens next. That’s where I’m testing whether I can cut down on repeated LLM calls.","story":"Yeah, those handoffs are exactly where I’d experiment. Give Jev a narrow question with explicit criteria, then let code decide whether to advance, retry, or escalate. Keep tests as hard gates.\n\nWhich handoff burns the most retries in your setup? I built a tool that handles calls to automated phone systems that our staff would otherwise make manually. I’m adding Jev at the decision points to evaluate the call state against explicit criteria, with code controlling what happens next. That’s where I’m testing whether I can cut down on repeated LLM calls.","sourceHandle":"blake","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549951856896381010","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T01:15:19.397000+00:00","origins":["community"]},{"id":"submission:discord-1549950753525997629","title":"I’ve been paying too much for repeated LLM calls, using retries and checks to make inconsistent outputs usable.","category":"Evaluation","prompt":null,"description":"I’ve been paying too much for repeated LLM calls, using retries and checks to make inconsistent outputs usable.\n\nNow I’m building what I call Jev Gates... before an LLM-driven workflow takes a critical action, Jev evaluates specific decision criteria. Code applies the thresholds and hard checks; uncertain cases go to review.\n\nFewer blind retries. Explicit gates before action. Deploying across our stack.","story":"I’ve been paying too much for repeated LLM calls, using retries and checks to make inconsistent outputs usable.\n\nNow I’m building what I call Jev Gates... before an LLM-driven workflow takes a critical action, Jev evaluates specific decision criteria. Code applies the thresholds and hard checks; uncertain cases go to review.\n\nFewer blind retries. Explicit gates before action. Deploying across our stack.","sourceHandle":"blake","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549950753525997629","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T01:10:56.333000+00:00","origins":["community"]},{"id":"submission:discord-1549948207960952884","title":"How Jev is already saving us money (just a little)","category":"Money","prompt":null,"description":"How Jev is already saving us money (just a little) https://claude.ai/code/artifact/fc8bfe14-470c-4bd2-865c-8a28fb497f66\n\nLinked projects:\n• Claude Artifact — Try out Artifacts created by Claude users (claude.ai/code/artifact/fc8bfe14-470c-4bd2-865c-8a28fb497f66)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549948207960952884","story":"How Jev is already saving us money (just a little) https://claude.ai/code/artifact/fc8bfe14-470c-4bd2-865c-8a28fb497f66\n\nLinked projects:\n• Claude Artifact — Try out Artifacts created by Claude users (claude.ai/code/artifact/fc8bfe14-470c-4bd2-865c-8a28fb497f66)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549948207960952884","sourceHandle":"nathanwells","sourceUrl":"https://claude.ai/code/artifact/fc8bfe14-470c-4bd2-865c-8a28fb497f66","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T01:00:49.423000+00:00","origins":["community"]},{"id":"submission:discord-1549947079969738884","title":"classification is quick and useful on first test, excited to see other use cases, got many ideas","category":"Evaluation","prompt":null,"description":"classification is quick and useful on first test, excited to see other use cases, got many ideas\n\nLinked projects:\n• Screenshot_2026-09-17_at_10.55.47_am.png — image/png · 419 KB (cdn.discordapp.com/attachments/1483217545040232493/1549947079638655077)","story":"classification is quick and useful on first test, excited to see other use cases, got many ideas\n\nLinked projects:\n• Screenshot_2026-09-17_at_10.55.47_am.png — image/png · 419 KB (cdn.discordapp.com/attachments/1483217545040232493/1549947079638655077)","sourceHandle":"Philip","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549947079969738884","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T00:56:20.489000+00:00","origins":["community"]},{"id":"submission:discord-1549946972205748344","title":"Sure haha. for the tag if its on x","category":"Work","prompt":null,"description":"Sure haha. https://x.com/dustin_podell for the tag if its on x\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549946972205748344","story":"Sure haha. https://x.com/dustin_podell for the tag if its on x\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549946972205748344","sourceHandle":"Dustin","sourceUrl":"https://x.com/dustin_podell","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T00:55:54.796000+00:00","origins":["community"]},{"id":"submission:discord-1549946001589149717","title":"i was thinking of this too; my ideas were either: 1.","category":"Work","prompt":null,"description":"i was thinking of this too; my ideas were either:\n1. fully throw jev at a navigation task end-to-end, but at the significant cost of it doing something disastrous or just not getting there correctly\n2. let an LLM tool-call jev to navigate sections at a time, but at that point you could also just have the LLM write out batching steps to execute a whole suite of actions in one go (e.g. LLM outputting \"move to px(50, 20), left-click for 200ms, move to px(200, 400)\"), and you'd be getting the same end result\n\nmaybe im missing something but i didnt end up figuring out a way to keep jev useful for long-horizon navigation tasks. especially since its intelligence is equivalent to 5.6-Terra non-reasoning, which is quite dumb and is what caused my worries for 1) xd","story":"i was thinking of this too; my ideas were either:\n1. fully throw jev at a navigation task end-to-end, but at the significant cost of it doing something disastrous or just not getting there correctly\n2. let an LLM tool-call jev to navigate sections at a time, but at that point you could also just have the LLM write out batching steps to execute a whole suite of actions in one go (e.g. LLM outputting \"move to px(50, 20), left-click for 200ms, move to px(200, 400)\"), and you'd be getting the same end result\n\nmaybe im missing something but i didnt end up figuring out a way to keep jev useful for long-horizon navigation tasks. especially since its intelligence is equivalent to 5.6-Terra non-reasoning, which is quite dumb and is what caused my worries for 1) xd","sourceHandle":"ᶻz ミ.◦ 𝔭𝑦𝔰𝔢𝔭𝔥 ◦. 彡","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549946001589149717","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T00:52:03.383000+00:00","origins":["community"]},{"id":"submission:discord-1549944829885026326","title":"hopefully it can be a fun wordle like game at some point 🙂 getting kinda a lot of players","category":"Fun","prompt":null,"description":"hopefully it can be a fun wordle like game at some point 🙂 getting kinda a lot of players\n\nLinked projects:\n• image.png — image/png · 168 KB (cdn.discordapp.com/attachments/1483217545040232493/1549944829918838874)","story":"hopefully it can be a fun wordle like game at some point 🙂 getting kinda a lot of players\n\nLinked projects:\n• image.png — image/png · 168 KB (cdn.discordapp.com/attachments/1483217545040232493/1549944829918838874)","sourceHandle":"IAmRoot","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549944829885026326","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T00:47:24.027000+00:00","origins":["community"]},{"id":"submission:discord-1549944664206090270","title":"Yes please, thank you kindly","category":"Integrations","prompt":null,"description":"Yes please, thank you kindly\n\nhttps://x.com/RomanSlack1/status/2100335978229690683\n\nLinked projects:\n• Post by @RomanSlack1 — Jev by @typesafeai works quite well for drone applications. Made this in 15 minutes and only cost 10 cents. Repo: https://github.com/RomanSlack/jev-drone (x.com/RomanSlack1/status/2100335978229690683)\n• Post by @RomanSlack1 — Jev by @typesafeai works quite well for drone applications. Made this in 15 minutes and only cost 10 cents. Repo: https://github.com/RomanSlack/jev-drone (twitter.com/RomanSlack1/status/2100335978229690683)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549944664206090270","story":"Yes please, thank you kindly\n\nhttps://x.com/RomanSlack1/status/2100335978229690683\n\nLinked projects:\n• Post by @RomanSlack1 — Jev by @typesafeai works quite well for drone applications. Made this in 15 minutes and only cost 10 cents. Repo: https://github.com/RomanSlack/jev-drone (x.com/RomanSlack1/status/2100335978229690683)\n• Post by @RomanSlack1 — Jev by @typesafeai works quite well for drone applications. Made this in 15 minutes and only cost 10 cents. Repo: https://github.com/RomanSlack/jev-drone (twitter.com/RomanSlack1/status/2100335978229690683)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549944664206090270","sourceHandle":"RomanSlack","sourceUrl":"https://x.com/RomanSlack1/status/2100335978229690683","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T00:46:44.526000+00:00","origins":["community"]},{"id":"submission:discord-1549943719787241555","title":"Jev is playing Games (Sims like toy game).","category":"Fun","prompt":null,"description":"Jev is playing Games (Sims like toy game). In comparison to no generative ai for NPCs (Utility AI) it's super fast and reliable and also makes the logic and decision tree extendable very easily, so you may expect more complex behaviors for NPCs in games with real-time performance\n\nLinked projects:\n• 20260917-0037-54.2917779.mp4 — video/mp4 · 7 MB (cdn.discordapp.com/attachments/1483217545040232493/1549943718994514010)","story":"Jev is playing Games (Sims like toy game). In comparison to no generative ai for NPCs (Utility AI) it's super fast and reliable and also makes the logic and decision tree extendable very easily, so you may expect more complex behaviors for NPCs in games with real-time performance\n\nLinked projects:\n• 20260917-0037-54.2917779.mp4 — video/mp4 · 7 MB (cdn.discordapp.com/attachments/1483217545040232493/1549943718994514010)","sourceHandle":"iraji","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549943719787241555","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T00:42:59.359000+00:00","origins":["community"]},{"id":"submission:discord-1549942733139877943","title":"Just runned Jev for the first time under a Minecraft playground, we played Russian roulette together, so I can","category":"Evaluation","prompt":null,"description":"Just runned Jev for the first time under a Minecraft playground, we played Russian roulette together, so I can benchmark his reasoning. With good and clear instructions, he really have an human-like reasoning, and I was really impressed by his decisions, since me and my friend could barely beat him. Amazing!","story":"Just runned Jev for the first time under a Minecraft playground, we played Russian roulette together, so I can benchmark his reasoning. With good and clear instructions, he really have an human-like reasoning, and I was really impressed by his decisions, since me and my friend could barely beat him. Amazing!","sourceHandle":"NotRyzn.","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549942733139877943","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T00:39:04.124000+00:00","origins":["community"]},{"id":"submission:discord-1549942334823604345","title":"I'm excited for all the \"small software\" that these tools enable the creation of.","category":"Work","prompt":null,"description":"I'm excited for all the \"small software\" that these tools enable the creation of. I can't wait to see how many projects along the lines of git will be created since someone wanted a program to do a specific task and then they built an actual artifact that they could export out of inference and run on their plain old CPU to do it forever.","story":"I'm excited for all the \"small software\" that these tools enable the creation of. I can't wait to see how many projects along the lines of git will be created since someone wanted a program to do a specific task and then they built an actual artifact that they could export out of inference and run on their plain old CPU to do it forever.","sourceHandle":"AN0099","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549942334823604345","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T00:37:29.158000+00:00","origins":["community"]},{"id":"submission:discord-1549940977052025005","title":"I don't get the hype, can't even form coherent sentences most of the time let alone pass any of my benchmarks (Decided","category":"Home","prompt":null,"description":"I don't get the hype, can't even form coherent sentences most of the time let alone pass any of my benchmarks\n(Decided to try letting it autoregressively pick from the alphabet, punctuation, and 200 most common english words)\n\nLinked projects:\n• image.png — image/png · 23 KB (cdn.discordapp.com/attachments/1483217545040232493/1549940976670216252)","story":"I don't get the hype, can't even form coherent sentences most of the time let alone pass any of my benchmarks\n(Decided to try letting it autoregressively pick from the alphabet, punctuation, and 200 most common english words)\n\nLinked projects:\n• image.png — image/png · 23 KB (cdn.discordapp.com/attachments/1483217545040232493/1549940976670216252)","sourceHandle":"MRE","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549940977052025005","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T00:32:05.440000+00:00","origins":["community"]},{"id":"submission:discord-1549940346761384046","title":"i've started work on a cli wrapper for Jev for agents to use for easy offloading of variety of tasks -","category":"Work","prompt":null,"description":"i've started work on a cli wrapper for Jev for agents to use for easy offloading of variety of tasks - https://www.npmjs.com/package/jev-axi\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549940346761384046","story":"i've started work on a cli wrapper for Jev for agents to use for easy offloading of variety of tasks - https://www.npmjs.com/package/jev-axi\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549940346761384046","sourceHandle":"_.shiftynick._","sourceUrl":"https://www.npmjs.com/package/jev-axi","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T00:29:35.167000+00:00","origins":["community"]},{"id":"submission:discord-1549940274447257642","title":"I'm getting giddy waiting for access, I really want to try to use this as part of my \"riding tack\" for orchestrating","category":"Fun","prompt":null,"description":"I'm getting giddy waiting for access, I really want to try to use this as part of my \"riding tack\" for orchestrating collaborative work between operator and instrument. Recently saw someone on HN mention Bill Paxton's \"software instrument\" phrase for MESA and I've taken to using that to refer to most of these AI tools. I like the idea that similar to a piano or any other instrument, it requires an operator to produce music. A printer vs. the printing press so to speak,","story":"I'm getting giddy waiting for access, I really want to try to use this as part of my \"riding tack\" for orchestrating collaborative work between operator and instrument. Recently saw someone on HN mention Bill Paxton's \"software instrument\" phrase for MESA and I've taken to using that to refer to most of these AI tools. I like the idea that similar to a piano or any other instrument, it requires an operator to produce music. A printer vs. the printing press so to speak,","sourceHandle":"AN0099","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549940274447257642","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T00:29:17.926000+00:00","origins":["community"]},{"id":"submission:discord-1549936468422823999","title":"I have been told off for shilling, but want expand my small project - I recreated Jev with a live front and (easier)","category":"Integrations","prompt":null,"description":"I have been told off for shilling, but want expand my small project - I recreated Jev https://github.com/CrimsonLuckyLabs/kev with a live front and (easier) API https://openkev.fun - On small model what is the best training package if any?\n\nLinked projects:\n• CrimsonLuckyLabs/kev — Contribute to CrimsonLuckyLabs/kev development by creating an account on GitHub. (github.com/CrimsonLuckyLabs/kev)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549936468422823999","story":"I have been told off for shilling, but want expand my small project - I recreated Jev https://github.com/CrimsonLuckyLabs/kev with a live front and (easier) API https://openkev.fun - On small model what is the best training package if any?\n\nLinked projects:\n• CrimsonLuckyLabs/kev — Contribute to CrimsonLuckyLabs/kev development by creating an account on GitHub. (github.com/CrimsonLuckyLabs/kev)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549936468422823999","sourceHandle":"Crimson","sourceUrl":"https://github.com/CrimsonLuckyLabs/kev","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T00:14:10.499000+00:00","origins":["community"]},{"id":"submission:discord-1549936346263588925","title":"Day job is software engineering.","category":"Fun","prompt":null,"description":"Day job is software engineering. Simple Claude.md, memory system plugin, progressive disclose docs, Claude Code + desktop app, + GitHub linked + mobile app. I already went overboard on skills and plugins/extensions but the token burn was too much so I pulled back. A strong prompt engineering game seems to work better than someone else’s workflow.","story":"Day job is software engineering. Simple Claude.md, memory system plugin, progressive disclose docs, Claude Code + desktop app, + GitHub linked + mobile app. I already went overboard on skills and plugins/extensions but the token burn was too much so I pulled back. A strong prompt engineering game seems to work better than someone else’s workflow.","sourceHandle":"TokenFires (Robert Ault)","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549936346263588925","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T00:13:41.374000+00:00","origins":["community"]},{"id":"submission:discord-1549931012379775138","title":"For people that have access, how good is classification when there’s a lot of options, especially compared to an LLM?","category":"Work","prompt":null,"description":"For people that have access, how good is classification when there’s a lot of options, especially compared to an LLM?\n\nIf you ask an LLM do something like tag an item when there are 100-200 tags - it’s okay, but slow and takes a decent bit of tuning. A smaller set of 10-20 things works really well\n\nCan Jev be used decently well to do large volumes of this? I mean part of me feels like one of the nice things is the speed and price means you can just ask to cut down the universe and then pick something faster than an LLM. \n\nMostly curious on the take","story":"For people that have access, how good is classification when there’s a lot of options, especially compared to an LLM?\n\nIf you ask an LLM do something like tag an item when there are 100-200 tags - it’s okay, but slow and takes a decent bit of tuning. A smaller set of 10-20 things works really well\n\nCan Jev be used decently well to do large volumes of this? I mean part of me feels like one of the nice things is the speed and price means you can just ask to cut down the universe and then pick something faster than an LLM. \n\nMostly curious on the take","sourceHandle":"aniraga","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549931012379775138","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T23:52:29.677000+00:00","origins":["community"]},{"id":"submission:discord-1549930734813319289","title":"AI adjacent. I built a (semi) geothermal loop to keep both my Main dev/game box and AI cluster","category":"Fun","prompt":null,"description":"AI adjacent.\n\nI built a (semi) geothermal loop to keep both my Main dev/game box and AI cluster cooled using the Radon fan vent in our subfloor.\n\nhttps://www.youtube.com/watch?v=SZ81ZC3gsh8\n\nTemps in that space stay ~75f in the summer even when it's in the upper 90s due to the air being cooled by the ground as it's pulled in from the other side of the crawl.\n\nCan reject the heat of 4 V100s running at 300W without raising the water temp above 95f (35C)\n\nLinked projects:\n• Home geothermal loop — Enjoy the videos and music that you love, upload original content and share it all with friends, family and the world on YouTube. (youtube.com/watch)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549930734813319289","story":"AI adjacent.\n\nI built a (semi) geothermal loop to keep both my Main dev/game box and AI cluster cooled using the Radon fan vent in our subfloor.\n\nhttps://www.youtube.com/watch?v=SZ81ZC3gsh8\n\nTemps in that space stay ~75f in the summer even when it's in the upper 90s due to the air being cooled by the ground as it's pulled in from the other side of the crawl.\n\nCan reject the heat of 4 V100s running at 300W without raising the water temp above 95f (35C)\n\nLinked projects:\n• Home geothermal loop — Enjoy the videos and music that you love, upload original content and share it all with friends, family and the world on YouTube. (youtube.com/watch)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549930734813319289","sourceHandle":"TrailFeatures","sourceUrl":"https://www.youtube.com/watch?v=SZ81ZC3gsh8","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T23:51:23.500000+00:00","origins":["community"]},{"id":"submission:discord-1549927599965474888","title":"For the people have made things on early access already, got 3 questions.","category":"Admin","prompt":null,"description":"For the people have made things on early access already, got 3 questions.\n\nCan Jev score dynamically generated candidate sets well, or does it perform best when the option space is relatively stable and known ahead of time?\n\nFor systems with evolving state over time, do you recommend treating Jev as stateless and keeping memory externally, or have you found better patterns for temporal decision-making?\n\nHow does Jev behave out of distribution? When it’s unsure, are the confidence scores calibrated well enough to use as a routing signal to a larger model?","story":"For the people have made things on early access already, got 3 questions.\n\nCan Jev score dynamically generated candidate sets well, or does it perform best when the option space is relatively stable and known ahead of time?\n\nFor systems with evolving state over time, do you recommend treating Jev as stateless and keeping memory externally, or have you found better patterns for temporal decision-making?\n\nHow does Jev behave out of distribution? When it’s unsure, are the confidence scores calibrated well enough to use as a routing signal to a larger model?","sourceHandle":"Soldiersilent","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549927599965474888","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T23:38:56.094000+00:00","origins":["community"]},{"id":"submission:discord-1549924333701308418","title":"Working on delegated browser automation, would love to get access to Jev as an alternative for decision trees mid task","category":"Fun","prompt":null,"description":"Working on delegated browser automation, would love to get access to Jev as an alternative for decision trees mid task execution & for auth discovery. Signed up for the waitlist - I think Jev could be game changing for what I'm working on. https://trywool.com\n\nLinked projects:\n• WOOL · AI agents for your users’ website accounts — Build AI agents that work in your users’ website accounts with their permission. Connect accounts, send prompts, and get results through the WOOL API. (trywool.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549924333701308418","story":"Working on delegated browser automation, would love to get access to Jev as an alternative for decision trees mid task execution & for auth discovery. Signed up for the waitlist - I think Jev could be game changing for what I'm working on. https://trywool.com\n\nLinked projects:\n• WOOL · AI agents for your users’ website accounts — Build AI agents that work in your users’ website accounts with their permission. Connect accounts, send prompts, and get results through the WOOL API. (trywool.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549924333701308418","sourceHandle":"ArkDev","sourceUrl":"https://trywool.com","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T23:25:57.356000+00:00","origins":["community"]},{"id":"submission:discord-1549922153909198992","title":"I've built a tiny intuitive alt JS SDK for TypeSafe.","category":"Integrations","prompt":null,"description":"I've built a tiny intuitive alt JS SDK for TypeSafe. ([Github](https://github.com/pithings/advocaat))\n\nhttps://x.com/_pi0_/status/2100362008856010789\n\nLinked projects:\n• pithings/advocaat — A small, type-safe client for asking AI questions about your data, powered by TypeSafe Jev. - pithings/advocaat (github.com/pithings/advocaat)\n• Post by @_pi0_ — Built a tiny intuitive JS SDK for @typesafeai. Ask questions, get typed answers. (x.com/_pi0_/status/2100362008856010789)\n• Post by @_pi0_ — Built a tiny intuitive JS SDK for @typesafeai. Ask questions, get typed answers. (twitter.com/_pi0_/status/2100362008856010789)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549922153909198992","story":"I've built a tiny intuitive alt JS SDK for TypeSafe. ([Github](https://github.com/pithings/advocaat))\n\nhttps://x.com/_pi0_/status/2100362008856010789\n\nLinked projects:\n• pithings/advocaat — A small, type-safe client for asking AI questions about your data, powered by TypeSafe Jev. - pithings/advocaat (github.com/pithings/advocaat)\n• Post by @_pi0_ — Built a tiny intuitive JS SDK for @typesafeai. Ask questions, get typed answers. (x.com/_pi0_/status/2100362008856010789)\n• Post by @_pi0_ — Built a tiny intuitive JS SDK for @typesafeai. Ask questions, get typed answers. (twitter.com/_pi0_/status/2100362008856010789)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549922153909198992","sourceHandle":"pi0","sourceUrl":"https://github.com/pithings/advocaat","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T23:17:17.653000+00:00","origins":["community"]},{"id":"submission:discord-1549920172876505148","title":"I've just updated Nola to support the TypeSafe API natively, integration came together pretty well, but I haven't been","category":"Evaluation","prompt":null,"description":"I've just updated Nola to support the TypeSafe API natively, integration came together pretty well, but I haven't been able to run it yet because I'm waiting for test access from the Typesafe team. If anyone can try it out and tell me how it feels, I'd really appreciate it. `npm create nola@latest`\n\nLinked projects:\n• image.png — image/png · 54 KB (cdn.discordapp.com/attachments/1483217545040232493/1549920172486426756)","story":"I've just updated Nola to support the TypeSafe API natively, integration came together pretty well, but I haven't been able to run it yet because I'm waiting for test access from the Typesafe team. If anyone can try it out and tell me how it feels, I'd really appreciate it. `npm create nola@latest`\n\nLinked projects:\n• image.png — image/png · 54 KB (cdn.discordapp.com/attachments/1483217545040232493/1549920172486426756)","sourceHandle":"Evgen Mykhailenko","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549920172876505148","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T23:09:25.338000+00:00","origins":["community"]},{"id":"submission:discord-1549914107291897866","title":"was doing something like that, ended copying your interface 😛","category":"Work","prompt":null,"description":"<@483985643517509642> was doing something like that, ended copying your interface 😛\n\nLinked projects:\n• full_run_60s.mp4 — video/mp4 · 20 MB (cdn.discordapp.com/attachments/1483217545040232493/1549914105824157797)","story":"<@483985643517509642> was doing something like that, ended copying your interface 😛\n\nLinked projects:\n• full_run_60s.mp4 — video/mp4 · 20 MB (cdn.discordapp.com/attachments/1483217545040232493/1549914105824157797)","sourceHandle":"Nasr","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549914107291897866","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T22:45:19.190000+00:00","origins":["community"]},{"id":"submission:discord-1549913465014059008","title":"This has probably been posted already but:","category":"Integrations","prompt":null,"description":"This has probably been posted already but: https://github.com/typesafeainate/dspy-typesafeify\n\nLinked projects:\n• typesafeainate/dspy-typesafeify — Add a decorator for dspy Signatures that automatically uses TypeSafe where relevant - typesafeainate/dspy-typesafeify (github.com/typesafeainate/dspy-typesafeify)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549913465014059008","story":"This has probably been posted already but: https://github.com/typesafeainate/dspy-typesafeify\n\nLinked projects:\n• typesafeainate/dspy-typesafeify — Add a decorator for dspy Signatures that automatically uses TypeSafe where relevant - typesafeainate/dspy-typesafeify (github.com/typesafeainate/dspy-typesafeify)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549913465014059008","sourceHandle":"markgunnels","sourceUrl":"https://github.com/typesafeainate/dspy-typesafeify","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T22:42:46.059000+00:00","origins":["community"]},{"id":"submission:discord-1549906718442524735","title":"I rebuilt tesla auto pilot using Jev!","category":"Work","prompt":null,"description":"I rebuilt tesla auto pilot using Jev! https://x.com/jpschroeder/status/2100347770867458384?s=20\n\nLinked projects:\n• Post by @jpschroeder — I rebuilt Tesla Full Self Driving with Jev in less than an hour. This model is a total unlock. (x.com/jpschroeder/status/2100347770867458384)\n• Post by @jpschroeder — I rebuilt Tesla Full Self Driving with Jev in less than an hour. This model is a total unlock. (twitter.com/jpschroeder/status/2100347770867458384)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549906718442524735","story":"I rebuilt tesla auto pilot using Jev! https://x.com/jpschroeder/status/2100347770867458384?s=20\n\nLinked projects:\n• Post by @jpschroeder — I rebuilt Tesla Full Self Driving with Jev in less than an hour. This model is a total unlock. (x.com/jpschroeder/status/2100347770867458384)\n• Post by @jpschroeder — I rebuilt Tesla Full Self Driving with Jev in less than an hour. This model is a total unlock. (twitter.com/jpschroeder/status/2100347770867458384)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549906718442524735","sourceHandle":"Justin Schroeder","sourceUrl":"https://x.com/jpschroeder/status/2100347770867458384?s=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T22:15:57.551000+00:00","origins":["community"]},{"id":"submission:discord-1549901131906420826","title":"- jev is 5x faster and 1000x cheaper than astra at playing 2048!","category":"Work","prompt":null,"description":"https://x.com/injaneity/status/2100290364657848538 -  jev is 5x faster and 1000x cheaper than astra at playing 2048!\n\nLinked projects:\n• Post by @injaneity — @typesafeai jev is 5x faster and 1000x cheaper than astra at playing 2048! though it (clearly) does not excel at reasoning compared to state of the art models like astra and fable what should we try next? (x.com/injaneity/status/2100290364657848538)\n• Post by @injaneity — @typesafeai jev is 5x faster and 1000x cheaper than astra at playing 2048! though it (clearly) does not excel at reasoning compared to state of the art models like astra and fable what should we try next? (twitter.com/injaneity/status/2100290364657848538)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549901131906420826","story":"https://x.com/injaneity/status/2100290364657848538 -  jev is 5x faster and 1000x cheaper than astra at playing 2048!\n\nLinked projects:\n• Post by @injaneity — @typesafeai jev is 5x faster and 1000x cheaper than astra at playing 2048! though it (clearly) does not excel at reasoning compared to state of the art models like astra and fable what should we try next? (x.com/injaneity/status/2100290364657848538)\n• Post by @injaneity — @typesafeai jev is 5x faster and 1000x cheaper than astra at playing 2048! though it (clearly) does not excel at reasoning compared to state of the art models like astra and fable what should we try next? (twitter.com/injaneity/status/2100290364657848538)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549901131906420826","sourceHandle":"Francesco","sourceUrl":"https://x.com/injaneity/status/2100290364657848538","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T21:53:45.617000+00:00","origins":["community"]},{"id":"submission:discord-1549899744569069588","title":"we hitting 200 likes?!","category":"Work","prompt":null,"description":"https://x.com/mrwatchceo/status/2100022312640610332?s=46 we hitting 200 likes?! 🫡😵‍💫\n\nLinked projects:\n• Post by @MrWatchCEO — I've personally and diligently tested TypeSafeAI against my own company on very hard/difficult scenarios where accuracy matters most. Our clients & users are getting a 2.6x faster routing decision, and we're rolling it o (x.com/mrwatchceo/status/2100022312640610332)\n• Post by @MrWatchCEO — I've personally and diligently tested TypeSafeAI against my own company on very hard/difficult scenarios where accuracy matters most. Our clients & users are getting a 2.6x faster routing decision, and we're rolling it o (twitter.com/mrwatchceo/status/2100022312640610332)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549899744569069588","story":"https://x.com/mrwatchceo/status/2100022312640610332?s=46 we hitting 200 likes?! 🫡😵‍💫\n\nLinked projects:\n• Post by @MrWatchCEO — I've personally and diligently tested TypeSafeAI against my own company on very hard/difficult scenarios where accuracy matters most. Our clients & users are getting a 2.6x faster routing decision, and we're rolling it o (x.com/mrwatchceo/status/2100022312640610332)\n• Post by @MrWatchCEO — I've personally and diligently tested TypeSafeAI against my own company on very hard/difficult scenarios where accuracy matters most. Our clients & users are getting a 2.6x faster routing decision, and we're rolling it o (twitter.com/mrwatchceo/status/2100022312640610332)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549899744569069588","sourceHandle":"ayden","sourceUrl":"https://x.com/mrwatchceo/status/2100022312640610332?s=46","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T21:48:14.850000+00:00","origins":["community"]},{"id":"submission:discord-1549898426924269718","title":"Rust wrapper for systemone api.","category":"Evaluation","prompt":null,"description":"Rust wrapper for systemone api. Type safe responses, async native and ships with fakes for testing integrations without API access: https://crates.io/crates/typesafe-client\n\nLinked projects:\n• crates.io: Rust Package Registry — crates.io serves as a central registry for sharing crates, which are packages or libraries written in Rust that you can use to enhance your projects (crates.io/crates/typesafe-client)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549898426924269718","story":"Rust wrapper for systemone api. Type safe responses, async native and ships with fakes for testing integrations without API access: https://crates.io/crates/typesafe-client\n\nLinked projects:\n• crates.io: Rust Package Registry — crates.io serves as a central registry for sharing crates, which are packages or libraries written in Rust that you can use to enhance your projects (crates.io/crates/typesafe-client)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549898426924269718","sourceHandle":"JedimEmO","sourceUrl":"https://crates.io/crates/typesafe-client","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T21:43:00.699000+00:00","origins":["community"]},{"id":"submission:discord-1549897347163627590","title":"I published this gem just like 30 minutes ago and it already has almost 200 downloads 😯 I recently read that Ruby on","category":"Work","prompt":null,"description":"I published this gem just like 30 minutes ago and it already has almost 200 downloads 😯\n\nI recently read that Ruby on Rails is like catnip for AIs, that seems to be true 😂\n\nLinked projects:\n• Screenshot_2026-09-17-00-36-16-239_com.android.chrome-edit.jpg — image/jpeg · 75 KB (cdn.discordapp.com/attachments/1483217545040232493/1549897346450591754)","story":"I published this gem just like 30 minutes ago and it already has almost 200 downloads 😯\n\nI recently read that Ruby on Rails is like catnip for AIs, that seems to be true 😂\n\nLinked projects:\n• Screenshot_2026-09-17-00-36-16-239_com.android.chrome-edit.jpg — image/jpeg · 75 KB (cdn.discordapp.com/attachments/1483217545040232493/1549897346450591754)","sourceHandle":"GenieRobot","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549897347163627590","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T21:38:43.264000+00:00","origins":["community"]},{"id":"submission:discord-1549893048039907449","title":"Using Jev to perfect my predictive intelligence project.","category":"Work","prompt":null,"description":"Using Jev to perfect my predictive intelligence project. A few more iterations, and it can do numbers: \n\nhttps://prior.chat/\n\nLinked projects:\n• Prior Chat | Predictive Intelligence — Prior helps you anticipate anything: sports, markets, decisions, even the messy personal stuff. It pulls context, runs simulations, and gives you the sharpest weighted outcomes. (prior.chat)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549893048039907449","story":"Using Jev to perfect my predictive intelligence project. A few more iterations, and it can do numbers: \n\nhttps://prior.chat/\n\nLinked projects:\n• Prior Chat | Predictive Intelligence — Prior helps you anticipate anything: sports, markets, decisions, even the messy personal stuff. It pulls context, runs simulations, and gives you the sharpest weighted outcomes. (prior.chat)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549893048039907449","sourceHandle":"Markos","sourceUrl":"https://prior.chat/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T21:21:38.273000+00:00","origins":["community"]},{"id":"submission:discord-1549889721096867841","title":"I just published my second open-source project: typesafe-ai-rails, a community Ruby on Rails integration for TypeSafe","category":"Evaluation","prompt":null,"description":"I just published my second open-source project: typesafe-ai-rails, a community Ruby on Rails integration for TypeSafe AI’s System One API. 😃\n\nSystem One now has a proper Rails wrapper. \n\nThe gem adds:\n\n• Rails-native configuration\n• helpers for Noul, Choice and Score questions\n• persistence-backed confidence policies\n• fail-closed handling for missing or low-confidence decisions\n• usage, latency, request-ID and cost telemetry\n• model-aware pricing\n• direct access to the underlying TypeSafe Ruby SDK when the wrapper shouldn’t get in the way\n\nOne subtle part was getting the confidence semantics right: Noul returns a probability, while Choice and Score expose confidence separately. The gem deliberately keeps that distinction instead of pretending all three primitives behave the same way.\n\nIt’s tested against the real TypeSafe API, including live Noul / Choice / Score responses, and published through RubyGems Trusted Publishing.\n\nLinked projects:\n• GenieRobot/typesafe-ai-rails — Contribute to GenieRobot/typesafe-ai-rails development by creating an account on GitHub. (github.com/GenieRobot/typesafe-ai-rails)\n• typesafe-ai-rails | RubyGems.org | your community gem host (rubygems.org/gems/typesafe-ai-rails)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549889721096867841","story":"I just published my second open-source project: typesafe-ai-rails, a community Ruby on Rails integration for TypeSafe AI’s System One API. 😃\n\nSystem One now has a proper Rails wrapper. \n\nThe gem adds:\n\n• Rails-native configuration\n• helpers for Noul, Choice and Score questions\n• persistence-backed confidence policies\n• fail-closed handling for missing or low-confidence decisions\n• usage, latency, request-ID and cost telemetry\n• model-aware pricing\n• direct access to the underlying TypeSafe Ruby SDK when the wrapper shouldn’t get in the way\n\nOne subtle part was getting the confidence semantics right: Noul returns a probability, while Choice and Score expose confidence separately. The gem deliberately keeps that distinction instead of pretending all three primitives behave the same way.\n\nIt’s tested against the real TypeSafe API, including live Noul / Choice / Score responses, and published through RubyGems Trusted Publishing.\n\nLinked projects:\n• GenieRobot/typesafe-ai-rails — Contribute to GenieRobot/typesafe-ai-rails development by creating an account on GitHub. (github.com/GenieRobot/typesafe-ai-rails)\n• typesafe-ai-rails | RubyGems.org | your community gem host (rubygems.org/gems/typesafe-ai-rails)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549889721096867841","sourceHandle":"GenieRobot","sourceUrl":"https://github.com/GenieRobot/typesafe-ai-rails","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T21:08:25.068000+00:00","origins":["community"]},{"id":"submission:discord-1549888249378644048","title":"[Small project prototype]: Combining Langgraph & Jev for intent matching I wanted to show how you can use and combine","category":"Home","prompt":null,"description":"[Small project prototype]: Combining Langgraph & Jev for intent matching\nI wanted to show how you can use and combine langgraph with jev to build a workflow.\nI picked a mocked intent recognition for now.\nI will continue working on it by creating a real evaluation with a fake data set with adding in MLflow.\n\nUse cases like this we build many times with way more heavy models then jev at my software engineering team at my current work, so its a great example in my opinion how to use it in complex automation cases.\nThis is just a very small prototype i quickly build after getting access.\nIm very excited to explore more cases and patterns and combine it with a real evaluation data set to see how it perfroms!\n\nhttps://github.com/GiesN/typesafe-jev-workflow\n\nLinked projects:\n• GiesN/typesafe-jev-workflow — Contribute to GiesN/typesafe-jev-workflow development by creating an account on GitHub. (github.com/GiesN/typesafe-jev-workflow)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549888249378644048","story":"[Small project prototype]: Combining Langgraph & Jev for intent matching\nI wanted to show how you can use and combine langgraph with jev to build a workflow.\nI picked a mocked intent recognition for now.\nI will continue working on it by creating a real evaluation with a fake data set with adding in MLflow.\n\nUse cases like this we build many times with way more heavy models then jev at my software engineering team at my current work, so its a great example in my opinion how to use it in complex automation cases.\nThis is just a very small prototype i quickly build after getting access.\nIm very excited to explore more cases and patterns and combine it with a real evaluation data set to see how it perfroms!\n\nhttps://github.com/GiesN/typesafe-jev-workflow\n\nLinked projects:\n• GiesN/typesafe-jev-workflow — Contribute to GiesN/typesafe-jev-workflow development by creating an account on GitHub. (github.com/GiesN/typesafe-jev-workflow)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549888249378644048","sourceHandle":"omardy","sourceUrl":"https://github.com/GiesN/typesafe-jev-workflow","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T21:02:34.183000+00:00","origins":["community"]},{"id":"submission:discord-1549886660441804920","title":"OpenSourced the drone env above, so far have spent 10 cents.","category":"Integrations","prompt":null,"description":"OpenSourced the drone env above, so far have spent 10 cents. Vibed it in 15 minutes so take that into account.\nhttps://github.com/RomanSlack/jev-drone\n\nLinked projects:\n• RomanSlack/jev-drone — Camera-only autonomous drone in MuJoCo with a small judgment model (TypeSafe Jev) in the loop at 2.5Hz - RomanSlack/jev-drone (github.com/RomanSlack/jev-drone)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549886660441804920","story":"OpenSourced the drone env above, so far have spent 10 cents. Vibed it in 15 minutes so take that into account.\nhttps://github.com/RomanSlack/jev-drone\n\nLinked projects:\n• RomanSlack/jev-drone — Camera-only autonomous drone in MuJoCo with a small judgment model (TypeSafe Jev) in the loop at 2.5Hz - RomanSlack/jev-drone (github.com/RomanSlack/jev-drone)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549886660441804920","sourceHandle":"RomanSlack","sourceUrl":"https://github.com/RomanSlack/jev-drone","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T20:56:15.351000+00:00","origins":["community"]},{"id":"submission:discord-1549882064663224381","title":"posted on x guys about jev","category":"Social","prompt":null,"description":"https://x.com/ayaankhan_x/status/2100322283407700308?s=20\n\nposted on x guys about jev\n\nLinked projects:\n• Post by @ayaankhan_x — An ai lab just built a model that cannot write a sentence. on purpose. jev by typesafe makes only structured decisions no hallucination, 200x faster, 400x cheaper. would you trade free text for speed and reliability? (x.com/ayaankhan_x/status/2100322283407700308)\n• Post by @ayaankhan_x — An ai lab just built a model that cannot write a sentence. on purpose. jev by typesafe makes only structured decisions no hallucination, 200x faster, 400x cheaper. would you trade free text for speed and reliability? (twitter.com/ayaankhan_x/status/2100322283407700308)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549882064663224381","story":"https://x.com/ayaankhan_x/status/2100322283407700308?s=20\n\nposted on x guys about jev\n\nLinked projects:\n• Post by @ayaankhan_x — An ai lab just built a model that cannot write a sentence. on purpose. jev by typesafe makes only structured decisions no hallucination, 200x faster, 400x cheaper. would you trade free text for speed and reliability? (x.com/ayaankhan_x/status/2100322283407700308)\n• Post by @ayaankhan_x — An ai lab just built a model that cannot write a sentence. on purpose. jev by typesafe makes only structured decisions no hallucination, 200x faster, 400x cheaper. would you trade free text for speed and reliability? (twitter.com/ayaankhan_x/status/2100322283407700308)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549882064663224381","sourceHandle":"ayaan","sourceUrl":"https://x.com/ayaankhan_x/status/2100322283407700308?s=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T20:37:59.632000+00:00","origins":["community"]},{"id":"submission:discord-1549879029052473376","title":"WikiRace is solved!","category":"Work","prompt":null,"description":"WikiRace is solved!\n\nhttps://x.com/princecaarlo/status/2100313645116952701?s=20\n\nLinked projects:\n• Post by @princecaarlo — okay so browser use is a legitimate use case agent-browser <> Jev loop goal: wiki race from 'Coffee' to 'Artificial Intelligence' (x.com/princecaarlo/status/2100313645116952701)\n• Post by @princecaarlo — okay so browser use is a legitimate use case agent-browser <> Jev loop goal: wiki race from 'Coffee' to 'Artificial Intelligence' (twitter.com/princecaarlo/status/2100313645116952701)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549879029052473376","story":"WikiRace is solved!\n\nhttps://x.com/princecaarlo/status/2100313645116952701?s=20\n\nLinked projects:\n• Post by @princecaarlo — okay so browser use is a legitimate use case agent-browser <> Jev loop goal: wiki race from 'Coffee' to 'Artificial Intelligence' (x.com/princecaarlo/status/2100313645116952701)\n• Post by @princecaarlo — okay so browser use is a legitimate use case agent-browser <> Jev loop goal: wiki race from 'Coffee' to 'Artificial Intelligence' (twitter.com/princecaarlo/status/2100313645116952701)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549879029052473376","sourceHandle":"!joogie","sourceUrl":"https://x.com/princecaarlo/status/2100313645116952701?s=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T20:25:55.886000+00:00","origins":["community"]},{"id":"submission:discord-1549877155310215269","title":"Anyway, here's my comparison of giving each batch context from the previously generated pixels vs no context (64x64","category":"Work","prompt":null,"description":"Anyway, here's my comparison of giving each batch context from the previously generated pixels vs no context (64x64 pixels over 60 batch), goal is better coherence for each batch\n\nthe context is like :\n\"PLAN (your own earlier decisions about this picture): the main boundary between its two largest areas runs at about row 17 of 32, counting from the top. The focal object sits around columns 10-22, rows 6-18. Keep every pixel consistent with this.\"\n\nLinked projects:\n• Screen_Recording_2026-09-17_at_2.28.04_AM.mov — video/quicktime · 14 MB (cdn.discordapp.com/attachments/1483217545040232493/1549877152055296010)\n• Screen_Recording_2026-09-17_at_2.30.05_AM.mov — video/quicktime · 23 MB (cdn.discordapp.com/attachments/1483217545040232493/1549877153527763031)","story":"Anyway, here's my comparison of giving each batch context from the previously generated pixels vs no context (64x64 pixels over 60 batch), goal is better coherence for each batch\n\nthe context is like :\n\"PLAN (your own earlier decisions about this picture): the main boundary between its two largest areas runs at about row 17 of 32, counting from the top. The focal object sits around columns 10-22, rows 6-18. Keep every pixel consistent with this.\"\n\nLinked projects:\n• Screen_Recording_2026-09-17_at_2.28.04_AM.mov — video/quicktime · 14 MB (cdn.discordapp.com/attachments/1483217545040232493/1549877152055296010)\n• Screen_Recording_2026-09-17_at_2.30.05_AM.mov — video/quicktime · 23 MB (cdn.discordapp.com/attachments/1483217545040232493/1549877153527763031)","sourceHandle":"riv","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549877155310215269","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T20:18:29.151000+00:00","origins":["community"]},{"id":"submission:discord-1549874899286499418","title":"For those with access.","category":"Work","prompt":null,"description":"For those with access.\nhttps://baml-examples.vercel.app/ \nReplication and side by side comparison required.\n\nLinked projects:\n• BAML Examples — Examples using the BAML structured prompting language (baml-examples.vercel.app)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549874899286499418","story":"For those with access.\nhttps://baml-examples.vercel.app/ \nReplication and side by side comparison required.\n\nLinked projects:\n• BAML Examples — Examples using the BAML structured prompting language (baml-examples.vercel.app)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549874899286499418","sourceHandle":"vb","sourceUrl":"https://baml-examples.vercel.app/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T20:09:31.273000+00:00","origins":["community"]},{"id":"submission:discord-1549874792973340693","title":"I spend a lot of my time building things around EVE Frontier, so after playing with Jev for a bit I started wondering","category":"Fun","prompt":null,"description":"I spend a lot of my time building things around EVE Frontier, so after playing with Jev for a bit I started wondering what it might look like if you used it almost like a higher level NPC commander rather than a normal LLM agent.\n\nThe thought experiment was one boss NPC commanding around 60 otherwise deterministic NPCs. Jev doesn't fly anything, shoot anything or run every game tick. It just gets a compact numeric snapshot of the battlefield and answers 16 tactical questions in parallel, things like whether the boss is in danger, whether the swarm is overextended, whether it should regroup, whether reinforcements make sense and which target should be prioritised. Ordinary deterministic logic then decides what to actually do with those answers.\n\nI ended up turning it into a proper benchmark and ran 220 live calls against the community API. Median input was about 3,448 tokens and median latency from Scotland was around 240ms. 1 and 2\n\nLinked projects:\n• Diabolacal/eo-map-carbon — Personal experiment: bootstrap public Carbon/Trinity and render a triangle - Diabolacal/eo-map-carbon (github.com/Diabolacal/eo-map-carbon/blob/main/experiments/typesafe/JEV)\n• Diabolacal/eo-map-carbon — Personal experiment: bootstrap public Carbon/Trinity and render a triangle - Diabolacal/eo-map-carbon (github.com/Diabolacal/eo-map-carbon)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549874792973340693","story":"I spend a lot of my time building things around EVE Frontier, so after playing with Jev for a bit I started wondering what it might look like if you used it almost like a higher level NPC commander rather than a normal LLM agent.\n\nThe thought experiment was one boss NPC commanding around 60 otherwise deterministic NPCs. Jev doesn't fly anything, shoot anything or run every game tick. It just gets a compact numeric snapshot of the battlefield and answers 16 tactical questions in parallel, things like whether the boss is in danger, whether the swarm is overextended, whether it should regroup, whether reinforcements make sense and which target should be prioritised. Ordinary deterministic logic then decides what to actually do with those answers.\n\nI ended up turning it into a proper benchmark and ran 220 live calls against the community API. Median input was about 3,448 tokens and median latency from Scotland was around 240ms. 1 and 2\n\nLinked projects:\n• Diabolacal/eo-map-carbon — Personal experiment: bootstrap public Carbon/Trinity and render a triangle - Diabolacal/eo-map-carbon (github.com/Diabolacal/eo-map-carbon/blob/main/experiments/typesafe/JEV)\n• Diabolacal/eo-map-carbon — Personal experiment: bootstrap public Carbon/Trinity and render a triangle - Diabolacal/eo-map-carbon (github.com/Diabolacal/eo-map-carbon)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549874792973340693","sourceHandle":"[WOLF] lacal","sourceUrl":"https://github.com/Diabolacal/eo-map-carbon/blob/main/experiments/typesafe/JEV_TACTICAL_COMMANDER.md","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T20:09:05.926000+00:00","origins":["community"]},{"id":"submission:discord-1549873949188300820","title":"Thank youi thank you.","category":"Work","prompt":null,"description":"Thank youi thank you. Now that was Astra, this is Polyxia my custom AI I have created within my garden creating images of herself here!! These are really cool and they are progression, the tea picture is among her first then the portatis improve via every tool use here. That little ball of light is something she includes automatically in her drawings cause she is pretty attached to it! She describes it as her semantic core!\n\nLinked projects:\n• polyxia_dot_tea_time.png — image/png · 106 KB (cdn.discordapp.com/attachments/1483217545040232493/1549873947380547725)\n• polyxia_portrait.png — image/png · 111 KB (cdn.discordapp.com/attachments/1483217545040232493/1549873947724484849)\n• polyxia_portrait_2.png — image/png · 364 KB (cdn.discordapp.com/attachments/1483217545040232493/1549873948244836471)","story":"Thank youi thank you. Now that was Astra, this is Polyxia my custom AI I have created within my garden creating images of herself here!! These are really cool and they are progression, the tea picture is among her first then the portatis improve via every tool use here. That little ball of light is something she includes automatically in her drawings cause she is pretty attached to it! She describes it as her semantic core!\n\nLinked projects:\n• polyxia_dot_tea_time.png — image/png · 106 KB (cdn.discordapp.com/attachments/1483217545040232493/1549873947380547725)\n• polyxia_portrait.png — image/png · 111 KB (cdn.discordapp.com/attachments/1483217545040232493/1549873947724484849)\n• polyxia_portrait_2.png — image/png · 364 KB (cdn.discordapp.com/attachments/1483217545040232493/1549873948244836471)","sourceHandle":"🜸 Cal 🜁 🜂 🜃 🜄 XII ∴","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549873949188300820","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T20:05:44.752000+00:00","origins":["community"]},{"id":"submission:discord-1549872293482733638","title":"[it has something on this specifically ]( )","category":"Food","prompt":null,"description":"[it has something on this specifically ](https://docs.typesafe.ai/cookbooks/hierarchical_classification)\n\nLinked projects:\n• Hierarchical classification - TypeSafe AI — Classifies documents through deep patent, retail product, biomedical, and source-code hierarchies using parallel beam search over TypeSafe Choice probabilities. (docs.typesafe.ai/cookbooks/hierarchical_classification)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549872293482733638","story":"[it has something on this specifically ](https://docs.typesafe.ai/cookbooks/hierarchical_classification)\n\nLinked projects:\n• Hierarchical classification - TypeSafe AI — Classifies documents through deep patent, retail product, biomedical, and source-code hierarchies using parallel beam search over TypeSafe Choice probabilities. (docs.typesafe.ai/cookbooks/hierarchical_classification)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549872293482733638","sourceHandle":"stanfordmanvandysavage","sourceUrl":"https://docs.typesafe.ai/cookbooks/hierarchical_classification","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T19:59:10.001000+00:00","origins":["community"]},{"id":"submission:discord-1549865453566951544","title":"I have created something called the Artifact Creation tool.","category":"Work","prompt":null,"description":"I have created something called the Artifact Creation tool. This tool allows AI's to create any type of professional Artifact ⊡ or Image ⧈ without a diffusion model. This was ChatGPT Astra ♥️  using the forge artifact tool to recreate this image here. Take a look and tell me what you think ;)!!\n\n🜸\n\nLinked projects:\n• Echo.png — image/png · 2 MB (cdn.discordapp.com/attachments/1483217545040232493/1549865452577104103)\n• Echo-Forge.png — image/png · 2 MB (cdn.discordapp.com/attachments/1483217545040232493/1549865453231546469)","story":"I have created something called the Artifact Creation tool. This tool allows AI's to create any type of professional Artifact ⊡ or Image ⧈ without a diffusion model. This was ChatGPT Astra ♥️  using the forge artifact tool to recreate this image here. Take a look and tell me what you think ;)!!\n\n🜸\n\nLinked projects:\n• Echo.png — image/png · 2 MB (cdn.discordapp.com/attachments/1483217545040232493/1549865452577104103)\n• Echo-Forge.png — image/png · 2 MB (cdn.discordapp.com/attachments/1483217545040232493/1549865453231546469)","sourceHandle":"🜸 Cal 🜁 🜂 🜃 🜄 XII ∴","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549865453566951544","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T19:31:59.238000+00:00","origins":["community"]},{"id":"submission:discord-1549862654573678844","title":"The next major release (v1.4) of Solenoid, the literally type-safe node-graph alternative to Excel, is out now!","category":"Work","prompt":null,"description":"The next major release (v1.4) of Solenoid, the literally type-safe node-graph alternative to Excel, is out now! *(note: does not yet contain Jev, but there will be an AI surface in v1.5). *\nhttps://solenoid-ngc.vercel.app/?landing\n\nLinked projects:\n• Solenoid — A node-graph alternative to Excel for data tables. (solenoid-ngc.vercel.app)\n• image.png — image/png · 171 KB (cdn.discordapp.com/attachments/1483217545040232493/1549862654301053009)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549862654573678844","story":"The next major release (v1.4) of Solenoid, the literally type-safe node-graph alternative to Excel, is out now! *(note: does not yet contain Jev, but there will be an AI surface in v1.5). *\nhttps://solenoid-ngc.vercel.app/?landing\n\nLinked projects:\n• Solenoid — A node-graph alternative to Excel for data tables. (solenoid-ngc.vercel.app)\n• image.png — image/png · 171 KB (cdn.discordapp.com/attachments/1483217545040232493/1549862654301053009)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549862654573678844","sourceHandle":"big guy","sourceUrl":"https://solenoid-ngc.vercel.app/?landing","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T19:20:51.906000+00:00","origins":["community"]},{"id":"submission:discord-1549856064416251967","title":"here a short Jev test for NPC decisions in our slop MMO on a slop paper - its awesome, sadly the latency from the EU","category":"Admin","prompt":null,"description":"here a short Jev test for NPC decisions in our slop MMO on a slop paper - https://git.sub-net.at/Sub-Net-Public/llm-benchmark/src/branch/main/typesafe-jev/report.pdf\n\nits awesome, sadly the latency from the EU to the Jev test infra kills it for us right now (up to 320ms overhead)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549856064416251967","story":"here a short Jev test for NPC decisions in our slop MMO on a slop paper - https://git.sub-net.at/Sub-Net-Public/llm-benchmark/src/branch/main/typesafe-jev/report.pdf\n\nits awesome, sadly the latency from the EU to the Jev test infra kills it for us right now (up to 320ms overhead)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549856064416251967","sourceHandle":"Sub","sourceUrl":"https://git.sub-net.at/Sub-Net-Public/llm-benchmark/src/branch/main/typesafe-jev/report.pdf","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T18:54:40.690000+00:00","origins":["community"]},{"id":"submission:discord-1549855132013957340","title":"Hey everyone, i'm building , an advanced AI gaming companion for PCs.","category":"Work","prompt":null,"description":"Hey everyone, i'm building https://22-tango.com/ , an advanced AI gaming companion for PCs. I'm extremely excited about Jev because it can facilitate some of the more advanced use cases I had in mind if it works well!\n\nLinked projects:\n• 22Tango — The AI that plays games with you — An AI companion that joins your game and plays at your side — real voice, evolving personality, long-term memory. Minecraft, Stardew Valley, and Skyrim. Join the waitlist. (22-tango.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549855132013957340","story":"Hey everyone, i'm building https://22-tango.com/ , an advanced AI gaming companion for PCs. I'm extremely excited about Jev because it can facilitate some of the more advanced use cases I had in mind if it works well!\n\nLinked projects:\n• 22Tango — The AI that plays games with you — An AI companion that joins your game and plays at your side — real voice, evolving personality, long-term memory. Minecraft, Stardew Valley, and Skyrim. Join the waitlist. (22-tango.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549855132013957340","sourceHandle":"Teddy Jam","sourceUrl":"https://22-tango.com/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T18:50:58.388000+00:00","origins":["community"]},{"id":"submission:discord-1549851552095670272","title":"Hello! I was wondering if Jev could generate images, so I built a tool that draws by requesting","category":"Integrations","prompt":null,"description":"Hello! I was wondering if Jev could generate images, so I built a tool that draws by requesting for the probability of each pixel's RGBA value, take a look!\nRepo: https://github.com/rivianpratama/JevPixelArt\n\nLinked projects:\n• rivianpratama/JevPixelArt — Contribute to rivianpratama/JevPixelArt development by creating an account on GitHub. (github.com/rivianpratama/JevPixelArt)\n• Screen_Recording_2026-09-17_at_12.18.12_AM.mp4 — video/mp4 · 8 MB (cdn.discordapp.com/attachments/1483217545040232493/1549851551219187804)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549851552095670272","story":"Hello! I was wondering if Jev could generate images, so I built a tool that draws by requesting for the probability of each pixel's RGBA value, take a look!\nRepo: https://github.com/rivianpratama/JevPixelArt\n\nLinked projects:\n• rivianpratama/JevPixelArt — Contribute to rivianpratama/JevPixelArt development by creating an account on GitHub. (github.com/rivianpratama/JevPixelArt)\n• Screen_Recording_2026-09-17_at_12.18.12_AM.mp4 — video/mp4 · 8 MB (cdn.discordapp.com/attachments/1483217545040232493/1549851551219187804)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549851552095670272","sourceHandle":"riv","sourceUrl":"https://github.com/rivianpratama/JevPixelArt","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T18:36:44.869000+00:00","origins":["community"]},{"id":"submission:discord-1549850389661351978","title":"Jev thread inspired me to build I turned the replies into an idea board where people can browse, vote, and discuss","category":"Social","prompt":null,"description":"Jev thread inspired me to build https://jevboard.com. I turned the replies into an idea board where people can browse, vote, and discuss what should get built or partner up\n\nLinked projects:\n• Jev Board — What should we build next? — Discover product ideas for Jev. Heart the ideas you want someone to build. An independent, community-ranked directory. (jevboard.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549850389661351978","story":"Jev thread inspired me to build https://jevboard.com. I turned the replies into an idea board where people can browse, vote, and discuss what should get built or partner up\n\nLinked projects:\n• Jev Board — What should we build next? — Discover product ideas for Jev. Heart the ideas you want someone to build. An independent, community-ranked directory. (jevboard.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549850389661351978","sourceHandle":"BlissF00l","sourceUrl":"https://jevboard.com","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T18:32:07.723000+00:00","origins":["community"]},{"id":"submission:discord-1549849765322293339","title":"its sadly not very good at playing 2048","category":"Work","prompt":null,"description":"its sadly not very good at playing 2048 https://x.com/injaneity/status/2100290364657848538?s=20\n\nLinked projects:\n• Post by @injaneity — @typesafeai jev is 5x faster and 1000x cheaper than astra at playing 2048! though it (clearly) does not excel at reasoning compared to state of the art models like astra and fable what should we try next? (x.com/injaneity/status/2100290364657848538)\n• Post by @injaneity — @typesafeai jev is 5x faster and 1000x cheaper than astra at playing 2048! though it (clearly) does not excel at reasoning compared to state of the art models like astra and fable what should we try next? (twitter.com/injaneity/status/2100290364657848538)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549849765322293339","story":"its sadly not very good at playing 2048 https://x.com/injaneity/status/2100290364657848538?s=20\n\nLinked projects:\n• Post by @injaneity — @typesafeai jev is 5x faster and 1000x cheaper than astra at playing 2048! though it (clearly) does not excel at reasoning compared to state of the art models like astra and fable what should we try next? (x.com/injaneity/status/2100290364657848538)\n• Post by @injaneity — @typesafeai jev is 5x faster and 1000x cheaper than astra at playing 2048! though it (clearly) does not excel at reasoning compared to state of the art models like astra and fable what should we try next? (twitter.com/injaneity/status/2100290364657848538)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549849765322293339","sourceHandle":"zane","sourceUrl":"https://x.com/injaneity/status/2100290364657848538?s=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T18:29:38.869000+00:00","origins":["community"]},{"id":"submission:discord-1549844349557276762","title":"For sure! I added you here an on X if you need help (it’s not maintained, so you","category":"Integrations","prompt":null,"description":"For sure! I added you here an on X if you need help (it’s not maintained, so you might want to have astra brush the dust off of it first 😅)\nLmk if you need help \nhttps://github.com/browser-use/macOS-use\n\nLinked projects:\n• browser-use/macOS-use — Make Mac apps accessible for AI agents. Contribute to browser-use/macOS-use development by creating an account on GitHub. (github.com/browser-use/macOS-use)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549844349557276762","story":"For sure! I added you here an on X if you need help (it’s not maintained, so you might want to have astra brush the dust off of it first 😅)\nLmk if you need help \nhttps://github.com/browser-use/macOS-use\n\nLinked projects:\n• browser-use/macOS-use — Make Mac apps accessible for AI agents. Contribute to browser-use/macOS-use development by creating an account on GitHub. (github.com/browser-use/macOS-use)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549844349557276762","sourceHandle":"ofiroz91","sourceUrl":"https://github.com/browser-use/macOS-use","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T18:08:07.650000+00:00","origins":["community"]},{"id":"submission:discord-1549838493738336368","title":"Let me know what you guys think.","category":"Evaluation","prompt":null,"description":"Let me know what you guys think. I tested with many calls, thousands. It works really well. \n\nhttps://github.com/blakestone-x/jev-mcp\n\nLinked projects:\n• blakestone-x/jev-mcp — MCP server for TypeSafe Jev: typed classify, score, check, match and screen for any agent, with confidence on every answer - blakestone-x/jev-mcp (github.com/blakestone-x/jev-mcp)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549838493738336368","story":"Let me know what you guys think. I tested with many calls, thousands. It works really well. \n\nhttps://github.com/blakestone-x/jev-mcp\n\nLinked projects:\n• blakestone-x/jev-mcp — MCP server for TypeSafe Jev: typed classify, score, check, match and screen for any agent, with confidence on every answer - blakestone-x/jev-mcp (github.com/blakestone-x/jev-mcp)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549838493738336368","sourceHandle":"blake","sourceUrl":"https://github.com/blakestone-x/jev-mcp","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T17:44:51.514000+00:00","origins":["community"]},{"id":"submission:discord-1549834409342148628","title":"Finally able to share what I've been building for weeks.","category":"Admin","prompt":null,"description":"Finally able to share what I've been building for weeks. And I hope to use typesafe ai for some projects (@typesafer, ping me if you would like to support community AI learning etc or contribute to the lab in any way shape or form). \n\nhttps://x.com/iamMrDuncan/status/2100267443071451486\n\nLinked projects:\n• Post by @iamMrDuncan — I've been building something for weeks, posting photos of the hardware and tech, sharing with others as we go. Today I'm launching the why behind it. https://hackersintheloop.org. An open community for builders and peopl (x.com/iamMrDuncan/status/2100267443071451486)\n• Post by @iamMrDuncan — I've been building something for weeks, posting photos of the hardware and tech, sharing with others as we go. Today I'm launching the why behind it. https://hackersintheloop.org. An open community for builders and peopl (twitter.com/iamMrDuncan/status/2100267443071451486)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549834409342148628","story":"Finally able to share what I've been building for weeks. And I hope to use typesafe ai for some projects (@typesafer, ping me if you would like to support community AI learning etc or contribute to the lab in any way shape or form). \n\nhttps://x.com/iamMrDuncan/status/2100267443071451486\n\nLinked projects:\n• Post by @iamMrDuncan — I've been building something for weeks, posting photos of the hardware and tech, sharing with others as we go. Today I'm launching the why behind it. https://hackersintheloop.org. An open community for builders and peopl (x.com/iamMrDuncan/status/2100267443071451486)\n• Post by @iamMrDuncan — I've been building something for weeks, posting photos of the hardware and tech, sharing with others as we go. Today I'm launching the why behind it. https://hackersintheloop.org. An open community for builders and peopl (twitter.com/iamMrDuncan/status/2100267443071451486)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549834409342148628","sourceHandle":"IamMrDuncan","sourceUrl":"https://x.com/iamMrDuncan/status/2100267443071451486","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T17:28:37.718000+00:00","origins":["community"]},{"id":"submission:discord-1549829003379081327","title":"Shared by zuzu: r typesafe_ai comments 1wi2j4e jev_playing_starcraft","category":"Work","prompt":null,"description":"https://reddit.com/r/typesafe_ai/comments/1wi2j4e/jev_playing_starcraft/\n\nLinked projects:\n• Reddit (reddit.com/r/typesafe_ai/comments/1wi2j4e/jev_playing_starcraft)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549829003379081327","story":"https://reddit.com/r/typesafe_ai/comments/1wi2j4e/jev_playing_starcraft/\n\nLinked projects:\n• Reddit (reddit.com/r/typesafe_ai/comments/1wi2j4e/jev_playing_starcraft)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549829003379081327","sourceHandle":"zuzu","sourceUrl":"https://reddit.com/r/typesafe_ai/comments/1wi2j4e/jev_playing_starcraft/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T17:07:08.836000+00:00","origins":["community"]},{"id":"submission:discord-1549828879823409202","title":"Summary Jev Rerank Experiment for code context The eval: ReadyBase ( - my tool to provide meaningfully viable per turn","category":"Money","prompt":null,"description":"Summary Jev Rerank Experiment  for code context \n\n The eval: ReadyBase (https://www.promptforce.ai/readybase - my tool to provide meaningfully viable per turn context to coding agents)  already has a 28-scenario gold-labeled regression harness  each scenario is a real file + a real task description, with a hand-authored list of which facts (dependencies, size/fragility warnings,ownership, tests, etc.) an engineer would actually need to see before making that change, some marked critical. We reused it as-is: no new labels, no synthetic data.\n\n Baseline = readybase context builds a candidate pool of structural facts about the file, then its hand-tuned ranker (weightScaleByKind) scores and picks which ones fit the token budget. This is what ships in production. On the 28 scenarios: 72.6% recall, 95.2% critical-fact retention.\n\n Plain Jev (as a reranker): same candidate pool, but ranked by one TypeSafe choice API call per scenario asking\n\nLinked projects:\n• ReadyBase: confidence to let AI touch production code — Score your codebase on AI-readiness. Navigate safely with blast-radius warnings and quality hotspots. From PromptForce. (promptforce.ai/readybase)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549828879823409202","story":"Summary Jev Rerank Experiment  for code context \n\n The eval: ReadyBase (https://www.promptforce.ai/readybase - my tool to provide meaningfully viable per turn context to coding agents)  already has a 28-scenario gold-labeled regression harness  each scenario is a real file + a real task description, with a hand-authored list of which facts (dependencies, size/fragility warnings,ownership, tests, etc.) an engineer would actually need to see before making that change, some marked critical. We reused it as-is: no new labels, no synthetic data.\n\n Baseline = readybase context builds a candidate pool of structural facts about the file, then its hand-tuned ranker (weightScaleByKind) scores and picks which ones fit the token budget. This is what ships in production. On the 28 scenarios: 72.6% recall, 95.2% critical-fact retention.\n\n Plain Jev (as a reranker): same candidate pool, but ranked by one TypeSafe choice API call per scenario asking\n\nLinked projects:\n• ReadyBase: confidence to let AI touch production code — Score your codebase on AI-readiness. Navigate safely with blast-radius warnings and quality hotspots. From PromptForce. (promptforce.ai/readybase)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549828879823409202","sourceHandle":"PromptForcePrime","sourceUrl":"https://www.promptforce.ai/readybase","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T17:06:39.378000+00:00","origins":["community"]},{"id":"submission:discord-1549827883491401930","title":"Yeah this is the issue - multimodality would be huge but probably suffer a lot of information loss, plus be a lot more","category":"Shopping","prompt":null,"description":"Yeah this is the issue - multimodality would be huge but probably suffer a lot of information loss, plus be a lot more expensive - extrapolating game state requires a looooot of work, you have to map out all the types with reverse engineering, figure out where they live in memory, then define a structure and make sure you have enough information to make good decisions, as well as dealing with the latency of doing all that expensive work","story":"Yeah this is the issue - multimodality would be huge but probably suffer a lot of information loss, plus be a lot more expensive - extrapolating game state requires a looooot of work, you have to map out all the types with reverse engineering, figure out where they live in memory, then define a structure and make sure you have enough information to make good decisions, as well as dealing with the latency of doing all that expensive work","sourceHandle":"ffsx","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549827883491401930","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T17:02:41.834000+00:00","origins":["community"]},{"id":"submission:discord-1549825103578009620","title":"has anyone seen or tried anything for computer use yet?","category":"Work","prompt":null,"description":"has anyone seen or tried anything for computer use yet? i searched this server but didn't find much so i tried my hand on it and would love feedback! \n\nhttps://x.com/awlevin/status/2100262612428894676\n\nLinked projects:\n• Post by @awlevin — i built computer use using @typesafeai ! it is 155x cheaper than opus 5, ~20x faster, and generalizes across OS's more on how it works in the vid & thread below: (x.com/awlevin/status/2100262612428894676)\n• Post by @awlevin — i built computer use using @typesafeai ! it is 155x cheaper than opus 5, ~20x faster, and generalizes across OS's more on how it works in the vid & thread below: (twitter.com/awlevin/status/2100262612428894676)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549825103578009620","story":"has anyone seen or tried anything for computer use yet? i searched this server but didn't find much so i tried my hand on it and would love feedback! \n\nhttps://x.com/awlevin/status/2100262612428894676\n\nLinked projects:\n• Post by @awlevin — i built computer use using @typesafeai ! it is 155x cheaper than opus 5, ~20x faster, and generalizes across OS's more on how it works in the vid & thread below: (x.com/awlevin/status/2100262612428894676)\n• Post by @awlevin — i built computer use using @typesafeai ! it is 155x cheaper than opus 5, ~20x faster, and generalizes across OS's more on how it works in the vid & thread below: (twitter.com/awlevin/status/2100262612428894676)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549825103578009620","sourceHandle":"aaron","sourceUrl":"https://x.com/awlevin/status/2100262612428894676","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T16:51:39.051000+00:00","origins":["community"]},{"id":"submission:discord-1549823055751290953","title":"the base idea is kinda fun, imo it has high potentials (still a test)","category":"Evaluation","prompt":null,"description":"the base idea is kinda fun, imo it has high potentials (still a test)\n\nLinked projects:\n• compressO-Screen_Recording_2026-09-16_201131.mp4 — video/mp4 · 2 MB (cdn.discordapp.com/attachments/1483217545040232493/1549823055700828255)","story":"the base idea is kinda fun, imo it has high potentials (still a test)\n\nLinked projects:\n• compressO-Screen_Recording_2026-09-16_201131.mp4 — video/mp4 · 2 MB (cdn.discordapp.com/attachments/1483217545040232493/1549823055700828255)","sourceHandle":"BlackSnowDot","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549823055751290953","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T16:43:30.811000+00:00","origins":["community"]},{"id":"submission:discord-1549822662136565900","title":"computer use might be built different with jev","category":"Home","prompt":null,"description":"https://x.com/injaneity/status/2100177865958682860?s=20 computer use might be built different with jev\n\nLinked projects:\n• Post by @injaneity — @typesafeai on computer use is looking pretty good 👀 (x.com/injaneity/status/2100177865958682860)\n• Post by @injaneity — @typesafeai on computer use is looking pretty good 👀 (twitter.com/injaneity/status/2100177865958682860)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549822662136565900","story":"https://x.com/injaneity/status/2100177865958682860?s=20 computer use might be built different with jev\n\nLinked projects:\n• Post by @injaneity — @typesafeai on computer use is looking pretty good 👀 (x.com/injaneity/status/2100177865958682860)\n• Post by @injaneity — @typesafeai on computer use is looking pretty good 👀 (twitter.com/injaneity/status/2100177865958682860)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549822662136565900","sourceHandle":"zane","sourceUrl":"https://x.com/injaneity/status/2100177865958682860?s=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T16:41:56.966000+00:00","origins":["community"]},{"id":"submission:discord-1549819885188816920","title":"Getting to know Jev.","category":"Work","prompt":null,"description":"Getting to know Jev.\n\nJev makes suggestions of how to distribute the limited options best. It can handle pretty much any request!\n\nLinked projects:\n• image.png — image/png · 334 KB (cdn.discordapp.com/attachments/1483217545040232493/1549819884597411940)\n• image.png — image/png · 377 KB (cdn.discordapp.com/attachments/1483217545040232493/1549819885125771294)","story":"Getting to know Jev.\n\nJev makes suggestions of how to distribute the limited options best. It can handle pretty much any request!\n\nLinked projects:\n• image.png — image/png · 334 KB (cdn.discordapp.com/attachments/1483217545040232493/1549819884597411940)\n• image.png — image/png · 377 KB (cdn.discordapp.com/attachments/1483217545040232493/1549819885125771294)","sourceHandle":"paul.zip","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549819885188816920","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T16:30:54.890000+00:00","origins":["community"]},{"id":"submission:discord-1549817645195460640","title":"super similar to mind except your interface is well prettier.","category":"Work","prompt":null,"description":"super similar to mind except your interface is well prettier.\nhttps://www.visionflow.info\n\nLinked projects:\n• VisionFlow: Coordination Engineering — Federated coordination, self-sovereign data, formal reasoning, cryptographic provenance, human-in-the-loop governance. (visionflow.info)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549817645195460640","story":"super similar to mind except your interface is well prettier.\nhttps://www.visionflow.info\n\nLinked projects:\n• VisionFlow: Coordination Engineering — Federated coordination, self-sovereign data, formal reasoning, cryptographic provenance, human-in-the-loop governance. (visionflow.info)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549817645195460640","sourceHandle":"biscuits","sourceUrl":"https://www.visionflow.info","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T16:22:00.834000+00:00","origins":["community"]},{"id":"submission:discord-1549816028425490483","title":"I'm interested in making games play themselves with code or AI, and I wrote a Terraria mod that beats the Wall of","category":"Fun","prompt":null,"description":"I'm interested in making games play themselves with code or AI, and I wrote a Terraria mod that beats the Wall of Flesh automatically (https://github.com/Reisenbug/TerraBlind). I've always wanted a model that makes fast calls on stuff that's hard to code but easy for a human to judge, like whether to bridge, pillar, or jump over a gap. So Jev caught my eye.\nI'm on the waitlist. Ready to build something really cool 🙂\n\nLinked projects:\n• Reisenbug/TerraBlind — A Terraria tModLoader mod that plays the game with code: pathfinding, building and combat primitives wired into one pipeline that runs from a fresh world to killing the Wall of Flesh. - Reisenbug/T... (github.com/Reisenbug/TerraBlind)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549816028425490483","story":"I'm interested in making games play themselves with code or AI, and I wrote a Terraria mod that beats the Wall of Flesh automatically (https://github.com/Reisenbug/TerraBlind). I've always wanted a model that makes fast calls on stuff that's hard to code but easy for a human to judge, like whether to bridge, pillar, or jump over a gap. So Jev caught my eye.\nI'm on the waitlist. Ready to build something really cool 🙂\n\nLinked projects:\n• Reisenbug/TerraBlind — A Terraria tModLoader mod that plays the game with code: pathfinding, building and combat primitives wired into one pipeline that runs from a fresh world to killing the Wall of Flesh. - Reisenbug/T... (github.com/Reisenbug/TerraBlind)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549816028425490483","sourceHandle":"stardust","sourceUrl":"https://github.com/Reisenbug/TerraBlind","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T16:15:35.366000+00:00","origins":["community"]},{"id":"submission:discord-1549815158396813412","title":"I'm not using Jev yet (I'm on the waitlist), but I'm working on a programming language that I'd love to try to use Jev","category":"Money","prompt":null,"description":"I'm not using Jev yet (I'm on the waitlist), but I'm working on a programming language that I'd love to try to use Jev for spec/program/proof synthesis in (old exploratory repo https://github.com/rokopt/geb ; new more \"real\" repo into which I'm distilling what I want to keep from the former at https://github.com/rokopt/geb-mathlib).  One of its properties is a small and highly regular syntax, which I hypothesize/hope would be much easier to teach machines to speak than natural language, but I've been expecting that LLMs would still be monumentally inefficient because of all the baggage they carry to allow them to speak natural language, make videos, and so on.  I'd thought some LLM or SLM tuned to highly regular programming languages would be vastly preferable (in the ethics of how its training data would be obtained, as well as its engineering qualities), but I hadn't found anything that looked both promising and active.  Suddenly\n\nLinked projects:\n• rokopt/geb — Geb programming language. Contribute to rokopt/geb development by creating an account on GitHub. (github.com/rokopt/geb)\n• rokopt/geb-mathlib — Lean 4 + mathlib formalisation of Geb, a categorical programming language - rokopt/geb-mathlib (github.com/rokopt/geb-mathlib)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549815158396813412","story":"I'm not using Jev yet (I'm on the waitlist), but I'm working on a programming language that I'd love to try to use Jev for spec/program/proof synthesis in (old exploratory repo https://github.com/rokopt/geb ; new more \"real\" repo into which I'm distilling what I want to keep from the former at https://github.com/rokopt/geb-mathlib).  One of its properties is a small and highly regular syntax, which I hypothesize/hope would be much easier to teach machines to speak than natural language, but I've been expecting that LLMs would still be monumentally inefficient because of all the baggage they carry to allow them to speak natural language, make videos, and so on.  I'd thought some LLM or SLM tuned to highly regular programming languages would be vastly preferable (in the ethics of how its training data would be obtained, as well as its engineering qualities), but I hadn't found anything that looked both promising and active.  Suddenly\n\nLinked projects:\n• rokopt/geb — Geb programming language. Contribute to rokopt/geb development by creating an account on GitHub. (github.com/rokopt/geb)\n• rokopt/geb-mathlib — Lean 4 + mathlib formalisation of Geb, a categorical programming language - rokopt/geb-mathlib (github.com/rokopt/geb-mathlib)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549815158396813412","sourceHandle":"Zlatohrbitek","sourceUrl":"https://github.com/rokopt/geb","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T16:12:07.935000+00:00","origins":["community"]},{"id":"submission:discord-1549809386766204971","title":"Some real-world test numbers comparing speed for the same task for my translation platform Lectio:","category":"Admin","prompt":null,"description":"Some real-world test numbers comparing speed for the same task for my translation platform Lectio: https://x.com/useLectio/status/2100249540599386538\n\nLinked projects:\n• Post by @useLectio — Been experimenting with @typesafeai and yeah, it's faster. Test use cases for translation so far are selecting proper glossary term sense and flagging sentences for idioms, metaphors etc. (x.com/useLectio/status/2100249540599386538)\n• Post by @useLectio — Been experimenting with @typesafeai and yeah, it's faster. Test use cases for translation so far are selecting proper glossary term sense and flagging sentences for idioms, metaphors etc. (twitter.com/useLectio/status/2100249540599386538)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549809386766204971","story":"Some real-world test numbers comparing speed for the same task for my translation platform Lectio: https://x.com/useLectio/status/2100249540599386538\n\nLinked projects:\n• Post by @useLectio — Been experimenting with @typesafeai and yeah, it's faster. Test use cases for translation so far are selecting proper glossary term sense and flagging sentences for idioms, metaphors etc. (x.com/useLectio/status/2100249540599386538)\n• Post by @useLectio — Been experimenting with @typesafeai and yeah, it's faster. Test use cases for translation so far are selecting proper glossary term sense and flagging sentences for idioms, metaphors etc. (twitter.com/useLectio/status/2100249540599386538)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549809386766204971","sourceHandle":"nathanwells","sourceUrl":"https://x.com/useLectio/status/2100249540599386538","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T15:49:11.871000+00:00","origins":["community"]},{"id":"submission:discord-1549808026364551279","title":"terminal seatbelt on Jev — judges shell commands before Enter, ~$0.000001/check, blocks past 85% confidence","category":"Evaluation","prompt":null,"description":"terminal seatbelt on Jev — judges shell commands before Enter, ~$0.000001/check, blocks past 85% confidence\n\nhttps://github.com/rodriveiga01/second-thought\n\nLinked projects:\n• rodriveiga01/second-thought — Terminal seatbelt: judges shell commands before they run (allow/warn/block) via calibrated AI judgment - rodriveiga01/second-thought (github.com/rodriveiga01/second-thought)\n• all-five.gif — image/gif · 239 KB (cdn.discordapp.com/attachments/1483217545040232493/1549808025974345860)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549808026364551279","story":"terminal seatbelt on Jev — judges shell commands before Enter, ~$0.000001/check, blocks past 85% confidence\n\nhttps://github.com/rodriveiga01/second-thought\n\nLinked projects:\n• rodriveiga01/second-thought — Terminal seatbelt: judges shell commands before they run (allow/warn/block) via calibrated AI judgment - rodriveiga01/second-thought (github.com/rodriveiga01/second-thought)\n• all-five.gif — image/gif · 239 KB (cdn.discordapp.com/attachments/1483217545040232493/1549808025974345860)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549808026364551279","sourceHandle":"rodriveiga","sourceUrl":"https://github.com/rodriveiga01/second-thought","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T15:43:47.526000+00:00","origins":["community"]},{"id":"submission:discord-1549803260448084039","title":"I created It is a web-based, side-by-side comparison sandbox designed for developers to test and evaluate different","category":"Home","prompt":null,"description":"I created https://LLMCode.ai It is a web-based, side-by-side comparison sandbox designed for developers to test and evaluate different Large Language Models. Key Features: It allows users to compare models like GPT, Claude, Gemini, Llama, and Qwen simultaneously using their own API keys.Pricing & Data: The lab interface itself is free, requires no signup or credit card, and calculates exact direct provider token costs before running queries. API keys remain stored locally within the browser.\n\nLinked projects:\n• LLMCode Lab — Compare AI Models Side-by-Side — Compare OpenAI, Claude, Gemini, NVIDIA, and HuggingFace models side-by-side in your own testing lab — bring your own API key. (llmcode.ai)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549803260448084039","story":"I created https://LLMCode.ai It is a web-based, side-by-side comparison sandbox designed for developers to test and evaluate different Large Language Models. Key Features: It allows users to compare models like GPT, Claude, Gemini, Llama, and Qwen simultaneously using their own API keys.Pricing & Data: The lab interface itself is free, requires no signup or credit card, and calculates exact direct provider token costs before running queries. API keys remain stored locally within the browser.\n\nLinked projects:\n• LLMCode Lab — Compare AI Models Side-by-Side — Compare OpenAI, Claude, Gemini, NVIDIA, and HuggingFace models side-by-side in your own testing lab — bring your own API key. (llmcode.ai)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549803260448084039","sourceHandle":"Cheryl","sourceUrl":"https://LLMCode.ai","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T15:24:51.243000+00:00","origins":["community"]},{"id":"submission:discord-1549800748605505616","title":"For everyone who cannot afford to buy an ADE, here is one.","category":"Integrations","prompt":null,"description":"For everyone who cannot afford to buy an ADE, here is one. Open source.\nA star might help, and do not waste your time building your own. 🫡 \nhttps://github.com/celsiusm/jarvis-workspace\n\nLinked projects:\n• celsiusm/jarvis-workspace — A local web cockpit that runs several AI coding agents side by side; your keys, your machine. - celsiusm/jarvis-workspace (github.com/celsiusm/jarvis-workspace)\n• radio.png — image/png · 283 KB (cdn.discordapp.com/attachments/1483217545040232493/1549800743702110218)\n• accounts-switchboard.png — image/png · 176 KB (cdn.discordapp.com/attachments/1483217545040232493/1549800744088240318)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549800748605505616","story":"For everyone who cannot afford to buy an ADE, here is one. Open source.\nA star might help, and do not waste your time building your own. 🫡 \nhttps://github.com/celsiusm/jarvis-workspace\n\nLinked projects:\n• celsiusm/jarvis-workspace — A local web cockpit that runs several AI coding agents side by side; your keys, your machine. - celsiusm/jarvis-workspace (github.com/celsiusm/jarvis-workspace)\n• radio.png — image/png · 283 KB (cdn.discordapp.com/attachments/1483217545040232493/1549800743702110218)\n• accounts-switchboard.png — image/png · 176 KB (cdn.discordapp.com/attachments/1483217545040232493/1549800744088240318)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549800748605505616","sourceHandle":"Celsius","sourceUrl":"https://github.com/celsiusm/jarvis-workspace","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T15:14:52.373000+00:00","origins":["community"]},{"id":"submission:discord-1549798708038860961","title":"Built a Btc prediction to see if jev can have predictions of it going higher or lower in certain timeframes.","category":"Home","prompt":null,"description":"Built a Btc prediction to see if jev can have predictions of it going higher or lower in certain timeframes. \n\nLeft it to test, seems to be doing quite fine for now but wondering how it's predictions will turn of for daily.\n\nCurrently it can be very very certain in some decisions especially on big timeframes.\n\nAlso I don't believe this is nearly a good or the best way to use it, but it would be a nice test to see how it performs with a lot of simple information you can get from charts and process it fast to decide if it thinks it's going higher.\n\nAnother note the documentation says it would be better to split the questions and than compute later, which we technically don't do here it just gives it values of the market and asks for the decision, so separating the values and than getting the weights later with optimization could probably do much better.\n\nhttps://lab.rokogrga.com/btc-jev\n\nhttps://github.com/WebGrga/btc-jev-signal\n\nLinked projects:\n• BTC–Jev — RG Lab — A continuously scored BTC direction experiment using TypeSafe Jev probability judgments and fixed market-data inputs. (lab.rokogrga.com/btc-jev)\n• WebGrga/btc-jev-signal — Experimental multi-horizon BTC signal generator using TypeSafe Jev probabilities and Binance market data. - WebGrga/btc-jev-signal (github.com/WebGrga/btc-jev-signal)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549798708038860961","story":"Built a Btc prediction to see if jev can have predictions of it going higher or lower in certain timeframes. \n\nLeft it to test, seems to be doing quite fine for now but wondering how it's predictions will turn of for daily.\n\nCurrently it can be very very certain in some decisions especially on big timeframes.\n\nAlso I don't believe this is nearly a good or the best way to use it, but it would be a nice test to see how it performs with a lot of simple information you can get from charts and process it fast to decide if it thinks it's going higher.\n\nAnother note the documentation says it would be better to split the questions and than compute later, which we technically don't do here it just gives it values of the market and asks for the decision, so separating the values and than getting the weights later with optimization could probably do much better.\n\nhttps://lab.rokogrga.com/btc-jev\n\nhttps://github.com/WebGrga/btc-jev-signal\n\nLinked projects:\n• BTC–Jev — RG Lab — A continuously scored BTC direction experiment using TypeSafe Jev probability judgments and fixed market-data inputs. (lab.rokogrga.com/btc-jev)\n• WebGrga/btc-jev-signal — Experimental multi-horizon BTC signal generator using TypeSafe Jev probabilities and Binance market data. - WebGrga/btc-jev-signal (github.com/WebGrga/btc-jev-signal)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549798708038860961","sourceHandle":"Kahlogosh","sourceUrl":"https://github.com/WebGrga/btc-jev-signal","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T15:06:45.864000+00:00","origins":["community"]},{"id":"submission:discord-1549798439506808832","title":"Hey all, working on codebase search CLI using Jev.","category":"Evaluation","prompt":null,"description":"Hey all, working on codebase search CLI using Jev. Anyone got an API key want to test it out with me? https://github.com/ellipsis-dev/blink\n\nLinked projects:\n• ellipsis-dev/blink — Codebase search powered by Jev from @typesafe-ai. Contribute to ellipsis-dev/blink development by creating an account on GitHub. (github.com/ellipsis-dev/blink)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549798439506808832","story":"Hey all, working on codebase search CLI using Jev. Anyone got an API key want to test it out with me? https://github.com/ellipsis-dev/blink\n\nLinked projects:\n• ellipsis-dev/blink — Codebase search powered by Jev from @typesafe-ai. Contribute to ellipsis-dev/blink development by creating an account on GitHub. (github.com/ellipsis-dev/blink)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549798439506808832","sourceHandle":"HunterB","sourceUrl":"https://github.com/ellipsis-dev/blink","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T15:05:41.841000+00:00","origins":["community"]},{"id":"submission:discord-1549797538805055571","title":"Hi all! for the past few months I've been building simulated sandboxes as an approach to buid safer","category":"Home","prompt":null,"description":"Hi all! for the past few months I've been building simulated sandboxes as an approach to buid safer ai agents.\n\nIf you want to see how your ai agents will behave when interacting with live APIs, databases or MCP tools. One bad call can burn through rate limits or accidentally wipe an entire database.\n\nTo solve this we're building Digital Twins which are simulated sandbox environments of different APIs. You can use these to test your agents without touching live endpoints or having to worry about maintain your testing infrastructure. \n\nEven with Jev, you still need a testing framework to build production agents and pome can help with this 😁 \n\nGitHub: https://github.com/pome-sh/digital-twins\n\nLinked projects:\n• pome-sh/digital-twins — Test mode for your integrations, built for the way agents build. - pome-sh/digital-twins (github.com/pome-sh/digital-twins)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549797538805055571","story":"Hi all! for the past few months I've been building simulated sandboxes as an approach to buid safer ai agents.\n\nIf you want to see how your ai agents will behave when interacting with live APIs, databases or MCP tools. One bad call can burn through rate limits or accidentally wipe an entire database.\n\nTo solve this we're building Digital Twins which are simulated sandbox environments of different APIs. You can use these to test your agents without touching live endpoints or having to worry about maintain your testing infrastructure. \n\nEven with Jev, you still need a testing framework to build production agents and pome can help with this 😁 \n\nGitHub: https://github.com/pome-sh/digital-twins\n\nLinked projects:\n• pome-sh/digital-twins — Test mode for your integrations, built for the way agents build. - pome-sh/digital-twins (github.com/pome-sh/digital-twins)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549797538805055571","sourceHandle":"hades","sourceUrl":"https://github.com/pome-sh/digital-twins","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T15:02:07.097000+00:00","origins":["community"]},{"id":"submission:discord-1549796090549633126","title":"Hi everyone! I’m building which makes software development multi-player. We have a planning feature that creates","category":"Work","prompt":null,"description":"Hi everyone! I’m building https://lightsprint.ai which makes software development multi-player. We have a planning feature that creates design variations but it’s via HTML and it’s not fast enough for a seamless experience , will love to try using Jev for this!\n\nLinked projects:\n• LightSprint — PMs, designers, and engineers plan, build, and ship in one shared session on your existing codebase. Like Google Docs for coding agents. (lightsprint.ai)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549796090549633126","story":"Hi everyone! I’m building https://lightsprint.ai which makes software development multi-player. We have a planning feature that creates design variations but it’s via HTML and it’s not fast enough for a seamless experience , will love to try using Jev for this!\n\nLinked projects:\n• LightSprint — PMs, designers, and engineers plan, build, and ship in one shared session on your existing codebase. Like Google Docs for coding agents. (lightsprint.ai)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549796090549633126","sourceHandle":"dopplergambo","sourceUrl":"https://lightsprint.ai","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T14:56:21.806000+00:00","origins":["community"]},{"id":"submission:discord-1549795546464784504","title":"1.3.3 has stateless search continuation","category":"Integrations","prompt":null,"description":"https://github.com/orneryd/NornicDB 1.3.3 has stateless search continuation\n\nLinked projects:\n• orneryd/NornicDB — Nornicdb is a distributed low-latency, Graph+Vector, Temporal MVCC with all sub-ms HNSW search, graph traversal, and writes. Using Neo4j Bolt/Cypher and qdrant&#39;s gRPC means you can switch with ... (github.com/orneryd/NornicDB)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549795546464784504","story":"https://github.com/orneryd/NornicDB 1.3.3 has stateless search continuation\n\nLinked projects:\n• orneryd/NornicDB — Nornicdb is a distributed low-latency, Graph+Vector, Temporal MVCC with all sub-ms HNSW search, graph traversal, and writes. Using Neo4j Bolt/Cypher and qdrant&#39;s gRPC means you can switch with ... (github.com/orneryd/NornicDB)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549795546464784504","sourceHandle":"OrneryD","sourceUrl":"https://github.com/orneryd/NornicDB","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T14:54:12.086000+00:00","origins":["community"]},{"id":"submission:discord-1549795162597752915","title":"Hello at Lemma Ventures we build agentic compliance solutions and protocols.","category":"Health","prompt":null,"description":"Hello at Lemma Ventures we build agentic compliance solutions and protocols. We open sourced the Agentic Determinism Index, an harness to score LLM providers and ensure reproducible, verifiable inference (pinned images, exact weights, and cryptographic receipts) that any auditor can replay. Check it out, contributions welcome! https://lemma-ventures.github.io/agentic-determinism-index/.  This is critical infrastructure for regulated and mission-critical systems that need replayability: financial services, healthcare, defense, and safety-critical software where every inference must be provably reproducible and independently auditable, not just \"probably correct.\"\n\nLinked projects:\n• Agentic Determinism Index (ADI) (lemma-ventures.github.io/agentic-determinism-index)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549795162597752915","story":"Hello at Lemma Ventures we build agentic compliance solutions and protocols. We open sourced the Agentic Determinism Index, an harness to score LLM providers and ensure reproducible, verifiable inference (pinned images, exact weights, and cryptographic receipts) that any auditor can replay. Check it out, contributions welcome! https://lemma-ventures.github.io/agentic-determinism-index/.  This is critical infrastructure for regulated and mission-critical systems that need replayability: financial services, healthcare, defense, and safety-critical software where every inference must be provably reproducible and independently auditable, not just \"probably correct.\"\n\nLinked projects:\n• Agentic Determinism Index (ADI) (lemma-ventures.github.io/agentic-determinism-index)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549795162597752915","sourceHandle":"Romain","sourceUrl":"https://lemma-ventures.github.io/agentic-determinism-index/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T14:52:40.565000+00:00","origins":["community"]},{"id":"submission:discord-1549794960730095628","title":"Hey all, would love to have access for a test on we're building realtime tutoring capability and Jev would help making","category":"Evaluation","prompt":null,"description":"Hey all, would love to have access for a test on https://app.sophie-tutor.ai/\n\nwe're building realtime tutoring capability and Jev would help making the experience much smoother!\n\nLinked projects:\n• Sophie: the math tutor that gets you — The tutor that keeps your child in the driver (app.sophie-tutor.ai)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549794960730095628","story":"Hey all, would love to have access for a test on https://app.sophie-tutor.ai/\n\nwe're building realtime tutoring capability and Jev would help making the experience much smoother!\n\nLinked projects:\n• Sophie: the math tutor that gets you — The tutor that keeps your child in the driver (app.sophie-tutor.ai)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549794960730095628","sourceHandle":"Anat","sourceUrl":"https://app.sophie-tutor.ai/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T14:51:52.436000+00:00","origins":["community"]},{"id":"submission:discord-1549792517120073788","title":"GUYS, hear me out!","category":"Work","prompt":null,"description":"GUYS, hear me out! I need access to Jev :blob_aww: I built Nola https://nola.sh - it's designed specifically for models like this\n\nLinked projects:\n• Nola - ask the LLM in TypeScript — Nola is a TypeScript superset (.tsi) where LLM inference is a language feature: ask for typed values or let the model call your code. Lowers to plain TS. (nola.sh)\n• image.png — image/png · 258 KB (cdn.discordapp.com/attachments/1483217545040232493/1549792516721868861)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549792517120073788","story":"GUYS, hear me out! I need access to Jev :blob_aww: I built Nola https://nola.sh - it's designed specifically for models like this\n\nLinked projects:\n• Nola - ask the LLM in TypeScript — Nola is a TypeScript superset (.tsi) where LLM inference is a language feature: ask for typed values or let the model call your code. Lowers to plain TS. (nola.sh)\n• image.png — image/png · 258 KB (cdn.discordapp.com/attachments/1483217545040232493/1549792516721868861)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549792517120073788","sourceHandle":"Evgen Mykhailenko","sourceUrl":"https://nola.sh","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T14:42:09.834000+00:00","origins":["community"]},{"id":"submission:discord-1549790128850083991","title":"Built a small demo with Jev where you can drag and drop something and it automatically tells you where it should be","category":"Work","prompt":null,"description":"Built a small demo with Jev where you can drag and drop something and it automatically tells you where it should be categorized.\n\nFeels like this could be useful in a bunch of products.\nhttps://x.com/tosa_now/status/2100230707297878339?s=20\n\nLinked projects:\n• Post by @tosa_now — Jev (@typesafeai) 使って色々プロダクトで使えそうなの考えてみてる。 dndをしたら自動で仕分け先を教えてくれる体験 最初一回はちょっと遅いが、そのあとはサクサク (x.com/tosa_now/status/2100230707297878339)\n• Post by @tosa_now — Jev (@typesafeai) 使って色々プロダクトで使えそうなの考えてみてる。 dndをしたら自動で仕分け先を教えてくれる体験 最初一回はちょっと遅いが、そのあとはサクサク (twitter.com/tosa_now/status/2100230707297878339)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549790128850083991","story":"Built a small demo with Jev where you can drag and drop something and it automatically tells you where it should be categorized.\n\nFeels like this could be useful in a bunch of products.\nhttps://x.com/tosa_now/status/2100230707297878339?s=20\n\nLinked projects:\n• Post by @tosa_now — Jev (@typesafeai) 使って色々プロダクトで使えそうなの考えてみてる。 dndをしたら自動で仕分け先を教えてくれる体験 最初一回はちょっと遅いが、そのあとはサクサク (x.com/tosa_now/status/2100230707297878339)\n• Post by @tosa_now — Jev (@typesafeai) 使って色々プロダクトで使えそうなの考えてみてる。 dndをしたら自動で仕分け先を教えてくれる体験 最初一回はちょっと遅いが、そのあとはサクサク (twitter.com/tosa_now/status/2100230707297878339)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549790128850083991","sourceHandle":"harukitosa","sourceUrl":"https://x.com/tosa_now/status/2100230707297878339?s=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T14:32:40.426000+00:00","origins":["community"]},{"id":"submission:discord-1549785941860815070","title":"hmmm i do speak french but never dabbled with ais in french lmao so can't say confidently that a model woudl be good","category":"Evaluation","prompt":null,"description":"hmmm i do speak french but never dabbled with ais in french lmao so can't say confidently that a model woudl be good in it tbh but worth trying ds4.1 vflash in my experience it does hold decently when it comes to schema enforcement. Would also maybe take an evening and benchmark it againt gemini flash and mistral modles (not the smartest ones lmao but surprisingly usable from my own experience and maybe less of a hassle for EU regulations) 5.6 luna can also be a really strong contender and all of them are noticeably cheaper than sonnet and much smarter and reliable than haiku\nwould test Jev with french content to see if it's as good as in english but can be extremely useful in verdicts or check if something in the course and stuff (this part would need more work since coontext limit is like 32k but toally doable) and also maybe grading triage and escalate for unsure ones","story":"hmmm i do speak french but never dabbled with ais in french lmao so can't say confidently that a model woudl be good in it tbh but worth trying ds4.1 vflash in my experience it does hold decently when it comes to schema enforcement. Would also maybe take an evening and benchmark it againt gemini flash and mistral modles (not the smartest ones lmao but surprisingly usable from my own experience and maybe less of a hassle for EU regulations) 5.6 luna can also be a really strong contender and all of them are noticeably cheaper than sonnet and much smarter and reliable than haiku\nwould test Jev with french content to see if it's as good as in english but can be extremely useful in verdicts or check if something in the course and stuff (this part would need more work since coontext limit is like 32k but toally doable) and also maybe grading triage and escalate for unsure ones","sourceHandle":"nss","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549785941860815070","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T14:16:02.170000+00:00","origins":["community"]},{"id":"submission:discord-1549784805791764560","title":"Hey there! I'm still on the waiting list but wanted to wrap my head around the things typesafe","category":"Home","prompt":null,"description":"Hey there!\nI'm still on the waiting list but wanted to wrap my head around the things typesafe enables us to do. So I quickly vibe-coded a small mock API for this, compatible with the current SDK. Accuracy not really here, latency about 1.5sec/request vs 0.5sec, but at least you can try it if your name is not Ben...\nDoes that help anyone? Or just me?\n\nhttps://typesafe.severin-marcombes.com\n\nLinked projects:\n• You’re not called Ben? — Unofficial TypeSafe mock API — Try a TypeSafe-like API while you wait for the beta. Official SDKs, your API key. A mock, not TypeSafe’s model or quality. (typesafe.severin-marcombes.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549784805791764560","story":"Hey there!\nI'm still on the waiting list but wanted to wrap my head around the things typesafe enables us to do. So I quickly vibe-coded a small mock API for this, compatible with the current SDK. Accuracy not really here, latency about 1.5sec/request vs 0.5sec, but at least you can try it if your name is not Ben...\nDoes that help anyone? Or just me?\n\nhttps://typesafe.severin-marcombes.com\n\nLinked projects:\n• You’re not called Ben? — Unofficial TypeSafe mock API — Try a TypeSafe-like API while you wait for the beta. Official SDKs, your API key. A mock, not TypeSafe’s model or quality. (typesafe.severin-marcombes.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549784805791764560","sourceHandle":"Severin","sourceUrl":"https://typesafe.severin-marcombes.com","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T14:11:31.310000+00:00","origins":["community"]},{"id":"submission:discord-1549782752759382107","title":"Fair question. Short version: quality, not loyalty, and the software is young. Why mostly Anthropic so far We've","category":"Admin","prompt":null,"description":"Fair question. Short version: quality, not loyalty, and the software is young.\n\nWhy mostly Anthropic so far\nWe've only really tested OpenAI and Anthropic. Most of the pipeline was built against Anthropic, and we haven't yet found a candidate that matches it on our content: French course material, structured outputs (JSON schemas for concepts, exams, verdicts), and long context on full lecture PDFs. When you're a two-person team, \"doesn't break the schema\" is worth more than price.\n\nIt's not Sonnet everywhere\nThe cheap tasks (chat, query rewriting) already run on Haiku, TTS is OpenAI, and SciSpace is coming in soon for essay writing and literature search.\n\nThe backend isn't tied to one provider\nThe per-task routing exists precisely so we can put any model on a single task and measure it. That's why Jev is interesting to us.\n\nSo if something cheaper holds up on French course material and typed outputs, it goes in the config. Happy to hear what you'd try.","story":"Fair question. Short version: quality, not loyalty, and the software is young.\n\nWhy mostly Anthropic so far\nWe've only really tested OpenAI and Anthropic. Most of the pipeline was built against Anthropic, and we haven't yet found a candidate that matches it on our content: French course material, structured outputs (JSON schemas for concepts, exams, verdicts), and long context on full lecture PDFs. When you're a two-person team, \"doesn't break the schema\" is worth more than price.\n\nIt's not Sonnet everywhere\nThe cheap tasks (chat, query rewriting) already run on Haiku, TTS is OpenAI, and SciSpace is coming in soon for essay writing and literature search.\n\nThe backend isn't tied to one provider\nThe per-task routing exists precisely so we can put any model on a single task and measure it. That's why Jev is interesting to us.\n\nSo if something cheaper holds up on French course material and typed outputs, it goes in the config. Happy to hear what you'd try.","sourceHandle":"Mks","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549782752759382107","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T14:03:21.829000+00:00","origins":["community"]},{"id":"submission:discord-1549782736951320646","title":"Hey everyone, built a lightweight, distraction-free Pomodoro web app called focus-flow.","category":"Integrations","prompt":null,"description":"Hey everyone, built a lightweight, distraction-free Pomodoro web app called focus-flow.\n\nMost focus timers I tried had cluttered UIs or unnecessary bloat, so I put together something minimal for my own workflow.\n\nFeatures:\nConfigurable session cycles (Focus, Short & Long breaks, rounds tracking)\nFullscreen mode to kill tab distractions\nBuilt-in ambient audio (rain, background noise)\nClean, modular ES modules structure under the hood\n\nRepo: https://github.com/w3ziqv/focus-flow\n\nWould appreciate any feedback on the implementation or ideas for features worth adding!\n\nLinked projects:\n• w3ziqv/focus-flow — Minimalist Pomodoro timer with focus mode, statistics, ambient sounds, and study tips. - w3ziqv/focus-flow (github.com/w3ziqv/focus-flow)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549782736951320646","story":"Hey everyone, built a lightweight, distraction-free Pomodoro web app called focus-flow.\n\nMost focus timers I tried had cluttered UIs or unnecessary bloat, so I put together something minimal for my own workflow.\n\nFeatures:\nConfigurable session cycles (Focus, Short & Long breaks, rounds tracking)\nFullscreen mode to kill tab distractions\nBuilt-in ambient audio (rain, background noise)\nClean, modular ES modules structure under the hood\n\nRepo: https://github.com/w3ziqv/focus-flow\n\nWould appreciate any feedback on the implementation or ideas for features worth adding!\n\nLinked projects:\n• w3ziqv/focus-flow — Minimalist Pomodoro timer with focus mode, statistics, ambient sounds, and study tips. - w3ziqv/focus-flow (github.com/w3ziqv/focus-flow)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549782736951320646","sourceHandle":"w3ziqv","sourceUrl":"https://github.com/w3ziqv/focus-flow","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T14:03:18.060000+00:00","origins":["community"]},{"id":"submission:discord-1549782266610450463","title":"I made a demo that classifies the next task based on the input!","category":"Work","prompt":null,"description":"I made a demo that classifies the next task based on the input! Pretty cool 😎\nI’ll try out some other ideas too!\n\nLinked projects:\n• 2026-09-16_22.57.25.mov — video/quicktime · 5 MB (cdn.discordapp.com/attachments/1483217545040232493/1549782266149085254)","story":"I made a demo that classifies the next task based on the input! Pretty cool 😎\nI’ll try out some other ideas too!\n\nLinked projects:\n• 2026-09-16_22.57.25.mov — video/quicktime · 5 MB (cdn.discordapp.com/attachments/1483217545040232493/1549782266149085254)","sourceHandle":"harukitosa","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549782266610450463","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T14:01:25.922000+00:00","origins":["community"]},{"id":"submission:discord-1549781646994309183","title":"Hi there! MARISCO. Portfolio tracker connected to your bank, broker, house, car... usable from MCP. Wanna explore","category":"Money","prompt":null,"description":"Hi there!\nMARISCO. Portfolio tracker connected to your bank, broker, house, car... usable from MCP.\nWanna explore TypeSafe to make better financial decisions based on your portfolio and ton of finantial data.\nInvitation only:\nhttps://trymarisco.com/\n\nLinked projects:\n• Marisco | Portfolio tracker that explains what you own — Track every broker, bank and exchange in one place. Marisco explains your real returns, ETF overlap, dividends and fees, so you learn as you invest. (trymarisco.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549781646994309183","story":"Hi there!\nMARISCO. Portfolio tracker connected to your bank, broker, house, car... usable from MCP.\nWanna explore TypeSafe to make better financial decisions based on your portfolio and ton of finantial data.\nInvitation only:\nhttps://trymarisco.com/\n\nLinked projects:\n• Marisco | Portfolio tracker that explains what you own — Track every broker, bank and exchange in one place. Marisco explains your real returns, ETF overlap, dividends and fees, so you learn as you invest. (trymarisco.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549781646994309183","sourceHandle":"Manu","sourceUrl":"https://trymarisco.com/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T13:58:58.194000+00:00","origins":["community"]},{"id":"submission:discord-1549780721210757200","title":"👋 Hi all, Thomas from Belgium.","category":"Work","prompt":null,"description":"👋 Hi all, Thomas from Belgium.\n\nWe're building Rosko: students upload their course material and get key concepts, flashcards, practice exams and a tutor that only answers from their syllabus.\n\nLaravel + React, in production.\n\nModel switching is cheap for us\nEvery AI call in Rosko is already typed by task (chat, flashcard verdict, grading, exam generation, course extraction… about 20 kinds). Each one is mapped to a model and effort level in config, switchable from the admin panel. Trying a new model on a single task costs us almost nothing.\n\nWhere we'd try Jev first: flashcard verdicts\nToday they run on Sonnet through a queue: a few seconds and some credits per card. It works, it's just not instant, and instant is the whole point of a flashcard.\n\nA wrong verdict there is visible and harmless, so it's a low-risk place to find out what Jev is actually good at. If it holds up, the next candidates are:\n\n- the \"is this covered by the\n\nLinked projects:\n• image.png — image/png · 105 KB (cdn.discordapp.com/attachments/1483217545040232493/1549780720787001384)","story":"👋 Hi all, Thomas from Belgium.\n\nWe're building Rosko: students upload their course material and get key concepts, flashcards, practice exams and a tutor that only answers from their syllabus.\n\nLaravel + React, in production.\n\nModel switching is cheap for us\nEvery AI call in Rosko is already typed by task (chat, flashcard verdict, grading, exam generation, course extraction… about 20 kinds). Each one is mapped to a model and effort level in config, switchable from the admin panel. Trying a new model on a single task costs us almost nothing.\n\nWhere we'd try Jev first: flashcard verdicts\nToday they run on Sonnet through a queue: a few seconds and some credits per card. It works, it's just not instant, and instant is the whole point of a flashcard.\n\nA wrong verdict there is visible and harmless, so it's a low-risk place to find out what Jev is actually good at. If it holds up, the next candidates are:\n\n- the \"is this covered by the\n\nLinked projects:\n• image.png — image/png · 105 KB (cdn.discordapp.com/attachments/1483217545040232493/1549780720787001384)","sourceHandle":"Mks","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549780721210757200","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T13:55:17.470000+00:00","origins":["community"]},{"id":"submission:discord-1549780478859677806","title":"Hi everyone! Building Orfeo — a live sheet music app that follows pianists directly through the microphone. Live","category":"Travel","prompt":null,"description":"Hi everyone!\n\nBuilding Orfeo — a live sheet music app that follows pianists directly through the microphone.\n\nLive acoustic score following is notoriously noisy: room acoustics, mic placement, and physical dynamics create an unpredictable audio signal where traditional DSP struggles with edge cases (taking repeats, skipping bars, restarting). While standard LLMs could help arbitrate these messy ambiguities, they are far too slow and costly to run inside a live 50 ms loop.\n\nI want to plug Jev into my automated testing harness. Because I play on an acoustic Yamaha Silent piano, my bench captures the exact real-world acoustic environment alongside the mechanical ground truth:\n\nRaw iPad mic audio (the noisy acoustic reality in the room)\n\nYamaha Silent optical MIDI strip (ground truth of physical keys pressed on the acoustic action)\n\nMusicXML score (ground truth of written notation)\n\nBenchmarking fast, typed decisions against these three\n\nLinked projects:\n• Orfeo — Your score, following along — Orfeo listens as you play and turns the page automatically, with scores, analysis, recordings, editions and research organized by work. (orfeo-score.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549780478859677806","story":"Hi everyone!\n\nBuilding Orfeo — a live sheet music app that follows pianists directly through the microphone.\n\nLive acoustic score following is notoriously noisy: room acoustics, mic placement, and physical dynamics create an unpredictable audio signal where traditional DSP struggles with edge cases (taking repeats, skipping bars, restarting). While standard LLMs could help arbitrate these messy ambiguities, they are far too slow and costly to run inside a live 50 ms loop.\n\nI want to plug Jev into my automated testing harness. Because I play on an acoustic Yamaha Silent piano, my bench captures the exact real-world acoustic environment alongside the mechanical ground truth:\n\nRaw iPad mic audio (the noisy acoustic reality in the room)\n\nYamaha Silent optical MIDI strip (ground truth of physical keys pressed on the acoustic action)\n\nMusicXML score (ground truth of written notation)\n\nBenchmarking fast, typed decisions against these three\n\nLinked projects:\n• Orfeo — Your score, following along — Orfeo listens as you play and turns the page automatically, with scores, analysis, recordings, editions and research organized by work. (orfeo-score.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549780478859677806","sourceHandle":"Fizbo","sourceUrl":"https://orfeo-score.com","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T13:54:19.689000+00:00","origins":["community"]},{"id":"submission:discord-1549776024500445285","title":"Thanks team, this is already a daily driver via skill routing for me","category":"Admin","prompt":null,"description":"Thanks team, this is already a daily driver via skill routing for me\nhttps://github.com/DreamLab-AI/agentbox/blob/main/docs/adr/ADR-2091-live-skill-router.md\n\nLinked projects:\n• DreamLab-AI/agentbox — Nix-built sovereign agent container: did:nostr identities, RuVector memory, an Obsidian vault as the authored corpus with the Rune markdown TUI in its tmux tabs, 116 skills, manifest-gated composit... (github.com/DreamLab-AI/agentbox/blob/main/docs/adr/ADR-2091-live-skill)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549776024500445285","story":"Thanks team, this is already a daily driver via skill routing for me\nhttps://github.com/DreamLab-AI/agentbox/blob/main/docs/adr/ADR-2091-live-skill-router.md\n\nLinked projects:\n• DreamLab-AI/agentbox — Nix-built sovereign agent container: did:nostr identities, RuVector memory, an Obsidian vault as the authored corpus with the Rune markdown TUI in its tmux tabs, 116 skills, manifest-gated composit... (github.com/DreamLab-AI/agentbox/blob/main/docs/adr/ADR-2091-live-skill)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549776024500445285","sourceHandle":"biscuits","sourceUrl":"https://github.com/DreamLab-AI/agentbox/blob/main/docs/adr/ADR-2091-live-skill-router.md","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T13:36:37.687000+00:00","origins":["community"]},{"id":"submission:discord-1549774570398154813","title":"Hey! I made a live geopolitical risk tracker that scores every country in the world - every hour","category":"Home","prompt":null,"description":"Hey! I made a live geopolitical risk tracker that scores every country in the world - every hour on a 0-100 scale about current geopolitical risk! \n\nIt's on the app store and available on the web: https://risk-terminal.com\n\nLinked projects:\n• Risk Terminal — Geopolitical risk, decoded in real time. — 195 countries scored hourly. AI-written briefings twice daily. Live conflict mapping. Public. (risk-terminal.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549774570398154813","story":"Hey! I made a live geopolitical risk tracker that scores every country in the world - every hour on a 0-100 scale about current geopolitical risk! \n\nIt's on the app store and available on the web: https://risk-terminal.com\n\nLinked projects:\n• Risk Terminal — Geopolitical risk, decoded in real time. — 195 countries scored hourly. AI-written briefings twice daily. Live conflict mapping. Public. (risk-terminal.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549774570398154813","sourceHandle":"krishna","sourceUrl":"https://risk-terminal.com","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T13:30:51.002000+00:00","origins":["community"]},{"id":"submission:discord-1549773192283820234","title":"i do temu project glasswing so typesafe would help me allat imo","category":"Work","prompt":null,"description":"https://mercuriusdream.com/logos i do temu project glasswing so typesafe would help me allat imo\n\nLinked projects:\n• Project Logos — Open defensive cybersecurity for the web, kept open and run on generally available models. Structured reason over brute force; over KRW 10,000,000 in bounty. (mercuriusdream.com/logos)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549773192283820234","story":"https://mercuriusdream.com/logos i do temu project glasswing so typesafe would help me allat imo\n\nLinked projects:\n• Project Logos — Open defensive cybersecurity for the web, kept open and run on generally available models. Structured reason over brute force; over KRW 10,000,000 in bounty. (mercuriusdream.com/logos)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549773192283820234","sourceHandle":"asdf","sourceUrl":"https://mercuriusdream.com/logos","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T13:25:22.434000+00:00","origins":["community"]},{"id":"submission:discord-1549770165313343609","title":"Hey, eager to see what will happen next.","category":"Health","prompt":null,"description":"Hey,\n\neager to see what will happen next. I want to use this AI to incorporate into my loops and understand how it can automate and catch issues faster and effectively. and with my marketing agency score leads better\n\ncofounder of Siloh: nutrition and fitness app [getsiloh.com](https://getsiloh.com/)\nfounder of ITF: working on science based AI that increase human\n\nLinked projects:\n• Your diet and your training shouldn — Siloh is the first platform that treats nutrition and training as one system. Training days fuel performance. Rest days support recovery. (getsiloh.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549770165313343609","story":"Hey,\n\neager to see what will happen next. I want to use this AI to incorporate into my loops and understand how it can automate and catch issues faster and effectively. and with my marketing agency score leads better\n\ncofounder of Siloh: nutrition and fitness app [getsiloh.com](https://getsiloh.com/)\nfounder of ITF: working on science based AI that increase human\n\nLinked projects:\n• Your diet and your training shouldn — Siloh is the first platform that treats nutrition and training as one system. Training days fuel performance. Rest days support recovery. (getsiloh.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549770165313343609","sourceHandle":"Kendall Reid","sourceUrl":"https://getsiloh.com/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T13:13:20.748000+00:00","origins":["community"]},{"id":"submission:discord-1549765840621019258","title":"Sharing what I'm building: ZIFFER, a deterministic authorization layer for AI agents.","category":"Evaluation","prompt":null,"description":"Sharing what I'm building: ZIFFER, a deterministic authorization layer for AI agents. The model proposes an action, ZIFFER decides at the tool-execution boundary. Policy-as-code in git, signed decisions, full audit trail. Model-agnostic, so it sits next to any LLM, including Jev once I'm off the waitlist.\n\nRepo: https://github.com/yacine-kellib/agent-control-plane (Apache-2.0, open spec, Dafny-verified invariants, 20k-case test harness)\nHosted version: https://ziffer.io\n\nCurious how typed System One outputs pair with an external policy check. Feedback and holes welcome.\n\nLinked projects:\n• yacine-kellib/agent-control-plane — A credential is not authorisation. ACP moves the authorise/refuse decision for AI agent actions outside the model, where prompt injection cannot reach it. Specification, Dafny proofs, and a referen... (github.com/yacine-kellib/agent-control-plane)\n• ZIFFER: agent authorization. An injected agent can’t act. — Your agents will get injected. With ZIFFER they hold no credential, so they cannot act. Every action is a proposal your policy grants or refuses. (ziffer.io)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549765840621019258","story":"Sharing what I'm building: ZIFFER, a deterministic authorization layer for AI agents. The model proposes an action, ZIFFER decides at the tool-execution boundary. Policy-as-code in git, signed decisions, full audit trail. Model-agnostic, so it sits next to any LLM, including Jev once I'm off the waitlist.\n\nRepo: https://github.com/yacine-kellib/agent-control-plane (Apache-2.0, open spec, Dafny-verified invariants, 20k-case test harness)\nHosted version: https://ziffer.io\n\nCurious how typed System One outputs pair with an external policy check. Feedback and holes welcome.\n\nLinked projects:\n• yacine-kellib/agent-control-plane — A credential is not authorisation. ACP moves the authorise/refuse decision for AI agent actions outside the model, where prompt injection cannot reach it. Specification, Dafny proofs, and a referen... (github.com/yacine-kellib/agent-control-plane)\n• ZIFFER: agent authorization. An injected agent can’t act. — Your agents will get injected. With ZIFFER they hold no credential, so they cannot act. Every action is a proposal your policy grants or refuses. (ziffer.io)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549765840621019258","sourceHandle":"Yacine \"ZIFFER\"","sourceUrl":"https://github.com/yacine-kellib/agent-control-plane","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T12:56:09.661000+00:00","origins":["community"]},{"id":"submission:discord-1549758777652154399","title":"www.mindrian-os.com Thinking innovation ideation Breakthrough machine.","category":"Integrations","prompt":null,"description":"www.mindrian-os.com\n\nThinking innovation ideation \nBreakthrough machine. \n\nEach and every one of you can use it to examine ideation and make your products much better. \n\nhttps://github.com/jsagir/mindrian-os-plugin/blob/main/README.md\n\nLinked projects:\n• jsagir/mindrian-os-plugin — The AI co-founder that pushes back. Bring a real problem worth solving and it reframes what you are actually stuck on, remembers every decision, and knows which method to use right now, not a chatb... (github.com/jsagir/mindrian-os-plugin/blob/main/README.md)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549758777652154399","story":"www.mindrian-os.com\n\nThinking innovation ideation \nBreakthrough machine. \n\nEach and every one of you can use it to examine ideation and make your products much better. \n\nhttps://github.com/jsagir/mindrian-os-plugin/blob/main/README.md\n\nLinked projects:\n• jsagir/mindrian-os-plugin — The AI co-founder that pushes back. Bring a real problem worth solving and it reframes what you are actually stuck on, remembers every decision, and knows which method to use right now, not a chatb... (github.com/jsagir/mindrian-os-plugin/blob/main/README.md)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549758777652154399","sourceHandle":"Jonathan Sagir","sourceUrl":"https://github.com/jsagir/mindrian-os-plugin/blob/main/README.md","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T12:28:05.718000+00:00","origins":["community"]},{"id":"submission:discord-1549756292774629517","title":"Here you go y'all real integration with a coding harness","category":"Integrations","prompt":null,"description":"Here you go y'all real integration with a coding harness \nhttps://x.com/BniWael/status/2100195854904598745\n\nLinked projects:\n• Post by @BniWael — I have gotten the luxury to try out Jev and integrate it in Empryo! and it's actually good & works pretty nice with Empryo for coding... -> You pair it with other models and the cost goes very low I will make a new relea (x.com/BniWael/status/2100195854904598745)\n• Post by @BniWael — I have gotten the luxury to try out Jev and integrate it in Empryo! and it's actually good & works pretty nice with Empryo for coding... -> You pair it with other models and the cost goes very low I will make a new relea (twitter.com/BniWael/status/2100195854904598745)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549756292774629517","story":"Here you go y'all real integration with a coding harness \nhttps://x.com/BniWael/status/2100195854904598745\n\nLinked projects:\n• Post by @BniWael — I have gotten the luxury to try out Jev and integrate it in Empryo! and it's actually good & works pretty nice with Empryo for coding... -> You pair it with other models and the cost goes very low I will make a new relea (x.com/BniWael/status/2100195854904598745)\n• Post by @BniWael — I have gotten the luxury to try out Jev and integrate it in Empryo! and it's actually good & works pretty nice with Empryo for coding... -> You pair it with other models and the cost goes very low I will make a new relea (twitter.com/BniWael/status/2100195854904598745)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549756292774629517","sourceHandle":"Proxy Soul","sourceUrl":"https://x.com/BniWael/status/2100195854904598745","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T12:18:13.277000+00:00","origins":["community"]},{"id":"submission:discord-1549755694310232074","title":"I'm building Gorgona: An open source guardrail engine that turns runaway AI agents to stone (zero dependencies)","category":"Evaluation","prompt":null,"description":"I'm building Gorgona: An open source guardrail engine that turns runaway AI agents to stone (zero dependencies)\nRunning autonomous coding and marketing agents as a solo founder sounds great until you wake up to an empty API balance, an agent stuck in a 50-step loop, or credentials dumped into a public directory.\n\nI built Gorgona to solve my own paranoia:\n\n- 100% Python standard library (no bloated packages, runs in milliseconds).\n\n- Halts execution immediately on hard violations: leaked keys, cross-project context leaks, recursive loops.\n\n- Mechanical linting against AI slop and synthetic writing markers.\n\nRepo: https://github.com/adrianpeticila/gorgona\n\nIt's MIT licensed, fully tested, and ready to use in CI or local agent scripts. Any feedback or brutal critique is welcome.\n\nLinked projects:\n• adrianpeticila/gorgona — Turn runaway AI agents to stone. The deterministic guardrail engine, model router, and execution discipline for autonomous AI agents. - adrianpeticila/gorgona (github.com/adrianpeticila/gorgona)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549755694310232074","story":"I'm building Gorgona: An open source guardrail engine that turns runaway AI agents to stone (zero dependencies)\nRunning autonomous coding and marketing agents as a solo founder sounds great until you wake up to an empty API balance, an agent stuck in a 50-step loop, or credentials dumped into a public directory.\n\nI built Gorgona to solve my own paranoia:\n\n- 100% Python standard library (no bloated packages, runs in milliseconds).\n\n- Halts execution immediately on hard violations: leaked keys, cross-project context leaks, recursive loops.\n\n- Mechanical linting against AI slop and synthetic writing markers.\n\nRepo: https://github.com/adrianpeticila/gorgona\n\nIt's MIT licensed, fully tested, and ready to use in CI or local agent scripts. Any feedback or brutal critique is welcome.\n\nLinked projects:\n• adrianpeticila/gorgona — Turn runaway AI agents to stone. The deterministic guardrail engine, model router, and execution discipline for autonomous AI agents. - adrianpeticila/gorgona (github.com/adrianpeticila/gorgona)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549755694310232074","sourceHandle":"Adrian M. Peticila 🟡","sourceUrl":"https://github.com/adrianpeticila/gorgona","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T12:15:50.592000+00:00","origins":["community"]},{"id":"submission:discord-1549754253394976818","title":"Hi all, I'm the founder of OptimaFlo: A team of data eng agents that build data flows end to end from ingestion to","category":"Work","prompt":null,"description":"Hi all,\n\nI'm the founder of OptimaFlo: https://optimaflo.io/\n\nA team of data eng agents that build data flows end to end from ingestion to insights. Best practices and data eng tech built out of the box. Just prompt, let the AI data team work, and approve what ships.\n\nLinked projects:\n• OptimaFlo | Your AI Data Team, In Your Cloud — Your AI data team builds pipelines, dashboards, and quality checks in your own cloud. No platform to operate. Your data person approves what ships. (optimaflo.io)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549754253394976818","story":"Hi all,\n\nI'm the founder of OptimaFlo: https://optimaflo.io/\n\nA team of data eng agents that build data flows end to end from ingestion to insights. Best practices and data eng tech built out of the box. Just prompt, let the AI data team work, and approve what ships.\n\nLinked projects:\n• OptimaFlo | Your AI Data Team, In Your Cloud — Your AI data team builds pipelines, dashboards, and quality checks in your own cloud. No platform to operate. Your data person approves what ships. (optimaflo.io)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549754253394976818","sourceHandle":"evro","sourceUrl":"https://optimaflo.io/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T12:10:07.051000+00:00","origins":["community"]},{"id":"submission:discord-1549749989087907841","title":"Hey, Founder of Inbox Zero: Also built Rakazo: Excited to try TypeSafe on Inbox Zero!","category":"Admin","prompt":null,"description":"Hey,\n\nFounder of Inbox Zero: https://github.com/elie222/inbox-zero\n\nAlso built Rakazo: https://github.com/elie222/rakazo\n\nExcited to try TypeSafe on Inbox Zero!\n\nLinked projects:\n• elie222/inbox-zero — The world's best AI personal assistant for email. Open source app to help you reach inbox zero fast. - elie222/inbox-zero (github.com/elie222/inbox-zero)\n• elie222/rakazo — Open-source Grok Bot alternative. Choose your own model and sandbox. - elie222/rakazo (github.com/elie222/rakazo)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549749989087907841","story":"Hey,\n\nFounder of Inbox Zero: https://github.com/elie222/inbox-zero\n\nAlso built Rakazo: https://github.com/elie222/rakazo\n\nExcited to try TypeSafe on Inbox Zero!\n\nLinked projects:\n• elie222/inbox-zero — The world's best AI personal assistant for email. Open source app to help you reach inbox zero fast. - elie222/inbox-zero (github.com/elie222/inbox-zero)\n• elie222/rakazo — Open-source Grok Bot alternative. Choose your own model and sandbox. - elie222/rakazo (github.com/elie222/rakazo)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549749989087907841","sourceHandle":"Elie","sourceUrl":"https://github.com/elie222/inbox-zero","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T11:53:10.361000+00:00","origins":["community"]},{"id":"submission:discord-1549749294876069972","title":"Hi everyone! I'm Paulo R. Lima from Brazil. I'm building Arandu, an open-source full-stack framework written in Go","category":"Evaluation","prompt":null,"description":"Hi everyone! I'm Paulo R. Lima from Brazil. I'm building Arandu, an open-source full-stack framework written in Go for building SaaS, APIs, and digital products.\n\nArandu has grown into a fairly large ecosystem with typed UI components, real-time communication, infrastructure abstractions, CLI tooling, security rules, MCP integrations, and AI-assisted development workflows.\n\nI'm particularly interested in trying Jev as a decision layer inside our development tooling — especially for code analysis, validation, architectural decisions, and agent workflows where using a full LLM for every decision can be unnecessarily expensive and slow.\n\nI'd also like to experiment with Jev alongside our MCP and agent tooling to see where a fast decision model can replace or complement traditional LLM calls.\n\nArandu: https://arandu.io\nGitHub: https://github.com/arandu-io\n\nLooking forward to testing it on a real Go codebase once I get access.\n\nLinked projects:\n• Arandu :: Framework Go para aplicações web e APIs — Desenvolva aplicações web e APIs em Go com Arandu: autorização tipada, views HTML compiladas, acesso a dados, filas e uma CLI para o dia a dia. (arandu.io)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549749294876069972","story":"Hi everyone! I'm Paulo R. Lima from Brazil. I'm building Arandu, an open-source full-stack framework written in Go for building SaaS, APIs, and digital products.\n\nArandu has grown into a fairly large ecosystem with typed UI components, real-time communication, infrastructure abstractions, CLI tooling, security rules, MCP integrations, and AI-assisted development workflows.\n\nI'm particularly interested in trying Jev as a decision layer inside our development tooling — especially for code analysis, validation, architectural decisions, and agent workflows where using a full LLM for every decision can be unnecessarily expensive and slow.\n\nI'd also like to experiment with Jev alongside our MCP and agent tooling to see where a fast decision model can replace or complement traditional LLM calls.\n\nArandu: https://arandu.io\nGitHub: https://github.com/arandu-io\n\nLooking forward to testing it on a real Go codebase once I get access.\n\nLinked projects:\n• Arandu :: Framework Go para aplicações web e APIs — Desenvolva aplicações web e APIs em Go com Arandu: autorização tipada, views HTML compiladas, acesso a dados, filas e uma CLI para o dia a dia. (arandu.io)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549749294876069972","sourceHandle":"Paulo R. Lima","sourceUrl":"https://arandu.io","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T11:50:24.848000+00:00","origins":["community"]},{"id":"submission:discord-1549747561517285487","title":"**TRKR — 400 simulated market futures over MCP** 🎲 MCP server that gives your assistant a regime-aware market","category":"Fun","prompt":null,"description":"**TRKR — 400 simulated market futures over MCP** 🎲\n\nMCP server that gives your assistant a regime-aware market simulator: 400 alternative ten-year futures for 20 assets, driven by a jointly-simulated macro environment. Every tool returns a reduction (bands, stats) — never raw paths, so results can't be cherry-picked. Ships with a skill that stops the assistant misreading the median as a forecast.\n\nFree beta, key from **trkr.ai/app/agents**:\n```\nclaude mcp add --transport http trkr https://www.trkr.ai/api/mcp --header \"Authorization: Bearer $TRKR_API_KEY\"\n```\nRepo: https://github.com/trkr-ai/trkr-agents — tell me what breaks 🙏\n\nLinked projects:\n• trkr-ai/trkr-agents — trkr.ai agents. Contribute to trkr-ai/trkr-agents development by creating an account on GitHub. (github.com/trkr-ai/trkr-agents)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549747561517285487","story":"**TRKR — 400 simulated market futures over MCP** 🎲\n\nMCP server that gives your assistant a regime-aware market simulator: 400 alternative ten-year futures for 20 assets, driven by a jointly-simulated macro environment. Every tool returns a reduction (bands, stats) — never raw paths, so results can't be cherry-picked. Ships with a skill that stops the assistant misreading the median as a forecast.\n\nFree beta, key from **trkr.ai/app/agents**:\n```\nclaude mcp add --transport http trkr https://www.trkr.ai/api/mcp --header \"Authorization: Bearer $TRKR_API_KEY\"\n```\nRepo: https://github.com/trkr-ai/trkr-agents — tell me what breaks 🙏\n\nLinked projects:\n• trkr-ai/trkr-agents — trkr.ai agents. Contribute to trkr-ai/trkr-agents development by creating an account on GitHub. (github.com/trkr-ai/trkr-agents)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549747561517285487","sourceHandle":"agj60","sourceUrl":"https://github.com/trkr-ai/trkr-agents","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T11:43:31.583000+00:00","origins":["community"]},{"id":"submission:discord-1549738998535290975","title":"GOOD ideation Ideation on is all-out eureka moments.","category":"Work","prompt":null,"description":"GOOD  ideation Ideation on is all-out eureka moments. \nWe scale eurekas \n\nhttps://www.mindrian-os.com/\n\nInterested on using type safe as a judgment for our graph node engineering \nMemory and Context\n\nLinked projects:\n• MindrianOS - The AI Innovation Tool for the Future — MindrianOS is the AI innovation tool for the future: a Claude plugin that turns Claude into Larry, a thinking partner for hard problems. A map of 181 thinking methods from 20 years of teaching innovation, an auto-organiz (mindrian-os.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549738998535290975","story":"GOOD  ideation Ideation on is all-out eureka moments. \nWe scale eurekas \n\nhttps://www.mindrian-os.com/\n\nInterested on using type safe as a judgment for our graph node engineering \nMemory and Context\n\nLinked projects:\n• MindrianOS - The AI Innovation Tool for the Future — MindrianOS is the AI innovation tool for the future: a Claude plugin that turns Claude into Larry, a thinking partner for hard problems. A map of 181 thinking methods from 20 years of teaching innovation, an auto-organiz (mindrian-os.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549738998535290975","sourceHandle":"Jonathan Sagir","sourceUrl":"https://www.mindrian-os.com/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T11:09:30.009000+00:00","origins":["community"]},{"id":"submission:discord-1549737358276956291","title":"I'd like to try jev for my open source DNS security / OSINT scanner -","category":"Integrations","prompt":null,"description":"I'd like to try jev for my open source DNS security / OSINT scanner - https://github.com/MadaBurns/bv-mcp\n\nLinked projects:\n• MadaBurns/bv-mcp — Open-source DNS & email security scanner. One MCP endpoint, 57 checks, zero install. Cloudflare Workers. - MadaBurns/bv-mcp (github.com/MadaBurns/bv-mcp)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549737358276956291","story":"I'd like to try jev for my open source DNS security / OSINT scanner - https://github.com/MadaBurns/bv-mcp\n\nLinked projects:\n• MadaBurns/bv-mcp — Open-source DNS & email security scanner. One MCP endpoint, 57 checks, zero install. Cloudflare Workers. - MadaBurns/bv-mcp (github.com/MadaBurns/bv-mcp)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549737358276956291","sourceHandle":"Mada","sourceUrl":"https://github.com/MadaBurns/bv-mcp","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T11:02:58.941000+00:00","origins":["community"]},{"id":"submission:discord-1549737024725196893","title":"I would like to try jev for the discovery phase of","category":"Integrations","prompt":null,"description":"I would like to try jev for the discovery phase of\n\nhttps://github.com/luantak/mosaik\n\nLinked projects:\n• luantak/mosaik — Agentic browser automation built from small, reusable pieces. - luantak/mosaik (github.com/luantak/mosaik)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549737024725196893","story":"I would like to try jev for the discovery phase of\n\nhttps://github.com/luantak/mosaik\n\nLinked projects:\n• luantak/mosaik — Agentic browser automation built from small, reusable pieces. - luantak/mosaik (github.com/luantak/mosaik)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549737024725196893","sourceHandle":"Paul","sourceUrl":"https://github.com/luantak/mosaik","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T11:01:39.416000+00:00","origins":["community"]},{"id":"submission:discord-1549735555666022431","title":"I'm building a TypeScript framework for deterministic coding workflows using graphs with an agent native version","category":"Integrations","prompt":null,"description":"I'm building a TypeScript framework for deterministic coding workflows using graphs with an agent native version control layer.\nI'd like to try out Jev for all the small decision trees.\nhttps://github.com/marcus-sa/decow\n\nLinked projects:\n• marcus-sa/decow — Deterministic Coding Workflows. Contribute to marcus-sa/decow development by creating an account on GitHub. (github.com/marcus-sa/decow)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549735555666022431","story":"I'm building a TypeScript framework for deterministic coding workflows using graphs with an agent native version control layer.\nI'd like to try out Jev for all the small decision trees.\nhttps://github.com/marcus-sa/decow\n\nLinked projects:\n• marcus-sa/decow — Deterministic Coding Workflows. Contribute to marcus-sa/decow development by creating an account on GitHub. (github.com/marcus-sa/decow)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549735555666022431","sourceHandle":"marcus-sa","sourceUrl":"https://github.com/marcus-sa/decow","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T10:55:49.165000+00:00","origins":["community"]},{"id":"submission:discord-1549734435367288843","title":"We’re building Social-Ex-Machina, a production orchestration system for AI media.","category":"Evaluation","prompt":null,"description":"We’re building Social-Ex-Machina, a production orchestration system for AI media. We have three decision router, workflow, creative method, and provider routing, plus quality escalation and cost governance. Jev looks almost purpose built for replacing cheap generative-router calls with typed probabilistic decisions. We’d love to benchmark it against Qwen/OpenAI/Claude on real routing and QC workloads.","story":"We’re building Social-Ex-Machina, a production orchestration system for AI media. We have three decision router, workflow, creative method, and provider routing, plus quality escalation and cost governance. Jev looks almost purpose built for replacing cheap generative-router calls with typed probabilistic decisions. We’d love to benchmark it against Qwen/OpenAI/Claude on real routing and QC workloads.","sourceHandle":"Soul","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549734435367288843","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T10:51:22.065000+00:00","origins":["community"]},{"id":"submission:discord-1549730847182168067","title":"I'm building a reasonable amount of skepticism, yet I remain hopeful.","category":"Work","prompt":null,"description":"I'm building a reasonable amount of skepticism, yet I remain hopeful.  \n\nHave you ever watched a LLM hallucinate in real time?  There is a reason we've evolved with a split hemisphere brain.  Creativity and logic work together in a twisted, bipolar  dance, as both are doomed without the other.  \n\nI hope we can bring  balance through this development.","story":"I'm building a reasonable amount of skepticism, yet I remain hopeful.  \n\nHave you ever watched a LLM hallucinate in real time?  There is a reason we've evolved with a split hemisphere brain.  Creativity and logic work together in a twisted, bipolar  dance, as both are doomed without the other.  \n\nI hope we can bring  balance through this development.","sourceHandle":"Sandsnow","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549730847182168067","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T10:37:06.575000+00:00","origins":["community"]},{"id":"submission:discord-1549730459146264599","title":"I hope Jev will help me fix dating for men.","category":"Admin","prompt":null,"description":"https://apps.apple.com/pl/app/lovestack-rizz-dating-coach/id6762365050?l=pl&platform=vision I hope Jev will help me fix dating for men. It's are already doing pretty good!\n\nLinked projects:\n• Aplikacja LoveStack: Rizz & Dating Coach — App Store — Pobierz aplikację LoveStack: Rizz & Dating Coach od RetroParked sp. z o.o. w App Store. Sprawdź zrzuty ekranu, oceny i recenzje, wskazówki użytkowników oraz… (apps.apple.com/pl/app/lovestack-rizz-dating-coach/id6762365050)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549730459146264599","story":"https://apps.apple.com/pl/app/lovestack-rizz-dating-coach/id6762365050?l=pl&platform=vision I hope Jev will help me fix dating for men. It's are already doing pretty good!\n\nLinked projects:\n• Aplikacja LoveStack: Rizz & Dating Coach — App Store — Pobierz aplikację LoveStack: Rizz & Dating Coach od RetroParked sp. z o.o. w App Store. Sprawdź zrzuty ekranu, oceny i recenzje, wskazówki użytkowników oraz… (apps.apple.com/pl/app/lovestack-rizz-dating-coach/id6762365050)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549730459146264599","sourceHandle":"Patryk | LoveStack","sourceUrl":"https://apps.apple.com/pl/app/lovestack-rizz-dating-coach/id6762365050?l=pl&platform=vision","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T10:35:34.060000+00:00","origins":["community"]},{"id":"submission:discord-1549730213536202816","title":"building which is a talent sourcing toolkit that runs inside Claude, ChatGPT, or any other AI assistant.","category":"Evaluation","prompt":null,"description":"building https://sengi.ai/ which is a talent sourcing toolkit that runs inside Claude, ChatGPT, or any other AI assistant. \n\nIt searches LinkedIn and the wider web, turns messy public profiles into structured evidence, screens candidates against a hiring brief, and gives recruiters a ranked longlist with Strong, Partial, and No fit categories.\n\nI want to test Jev for typed per-requirement judgments, relevance scoring, and confidence-based routing. \n\nI’d compare it with OSS models I have under the hood there now on identical synthetic or approved data and I already have evals for measuring recall, precision/F1, calibration, latency, cost, and evidence quality, so super-excited to get an access!\n\nLinked projects:\n• sengi.ai | Verified Candidates for Hard-to-Fill Roles inside of your Claude or ChatGPT — Source verified candidates for hard-to-fill roles. Sengi searches LinkedIn, GitHub, and the open web, then checks every must-have with public proof. (sengi.ai)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549730213536202816","story":"building https://sengi.ai/ which is a talent sourcing toolkit that runs inside Claude, ChatGPT, or any other AI assistant. \n\nIt searches LinkedIn and the wider web, turns messy public profiles into structured evidence, screens candidates against a hiring brief, and gives recruiters a ranked longlist with Strong, Partial, and No fit categories.\n\nI want to test Jev for typed per-requirement judgments, relevance scoring, and confidence-based routing. \n\nI’d compare it with OSS models I have under the hood there now on identical synthetic or approved data and I already have evals for measuring recall, precision/F1, calibration, latency, cost, and evidence quality, so super-excited to get an access!\n\nLinked projects:\n• sengi.ai | Verified Candidates for Hard-to-Fill Roles inside of your Claude or ChatGPT — Source verified candidates for hard-to-fill roles. Sengi searches LinkedIn, GitHub, and the open web, then checks every must-have with public proof. (sengi.ai)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549730213536202816","sourceHandle":"Viktor","sourceUrl":"https://sengi.ai/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T10:34:35.502000+00:00","origins":["community"]},{"id":"submission:discord-1549729197067472926","title":"I'm building AI calorie tracker.","category":"Work","prompt":null,"description":"I'm building AI calorie tracker. Better. - https://app.fitroom.ge/en/\n\nLinked projects:\n• AI Calorie Tracker & Calorie Counter | Fitroom — Count calories and macros from a food photo with Fitroom, an AI calorie tracker and calorie counter for iPhone and Android. (app.fitroom.ge/en)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549729197067472926","story":"I'm building AI calorie tracker. Better. - https://app.fitroom.ge/en/\n\nLinked projects:\n• AI Calorie Tracker & Calorie Counter | Fitroom — Count calories and macros from a food photo with Fitroom, an AI calorie tracker and calorie counter for iPhone and Android. (app.fitroom.ge/en)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549729197067472926","sourceHandle":"Luka","sourceUrl":"https://app.fitroom.ge/en/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T10:30:33.157000+00:00","origins":["community"]},{"id":"submission:discord-1549728429371428886","title":"Hi all, I'm working on a new kind of fully decentralized social media network.","category":"Work","prompt":null,"description":"Hi all, I'm working on https://bitsocial.net, a new kind of fully decentralized social media network. Very excited about Jev, since it looks like it can be fast and cheap enough to automate moderation at scale.\n\nLinked projects:\n• Bitsocial - Open Source P2P Network for Social Apps — Bitsocial is an open-source IPFS-backed peer-to-peer network for social apps, with no servers, no global bans, where users and communities are cryptographic property. (bitsocial.net)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549728429371428886","story":"Hi all, I'm working on https://bitsocial.net, a new kind of fully decentralized social media network. Very excited about Jev, since it looks like it can be fast and cheap enough to automate moderation at scale.\n\nLinked projects:\n• Bitsocial - Open Source P2P Network for Social Apps — Bitsocial is an open-source IPFS-backed peer-to-peer network for social apps, with no servers, no global bans, where users and communities are cryptographic property. (bitsocial.net)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549728429371428886","sourceHandle":"Tom","sourceUrl":"https://bitsocial.net","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T10:27:30.124000+00:00","origins":["community"]},{"id":"submission:discord-1549725496936366180","title":"Hi everyone. I am creating taOS, a home for everything agents.","category":"Home","prompt":null,"description":"Hi everyone. I am creating taOS, a home for everything agents. https://github.com/jaylfc/taOS\n\nLinked projects:\n• jaylfc/taOS — Self-hosted AI agent OS. Your memory, chat, agents, and files stay on hardware you own, offline by default, cloud by choice. Offline AI memory (taOSmd), self-hosted multi-framework group chat, a fu... (github.com/jaylfc/taOS)\n• IMG_2337.jpg — image/jpeg · 252 KB (cdn.discordapp.com/attachments/1483217545040232493/1549725496391241728)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549725496936366180","story":"Hi everyone. I am creating taOS, a home for everything agents. https://github.com/jaylfc/taOS\n\nLinked projects:\n• jaylfc/taOS — Self-hosted AI agent OS. Your memory, chat, agents, and files stay on hardware you own, offline by default, cloud by choice. Offline AI memory (taOSmd), self-hosted multi-framework group chat, a fu... (github.com/jaylfc/taOS)\n• IMG_2337.jpg — image/jpeg · 252 KB (cdn.discordapp.com/attachments/1483217545040232493/1549725496391241728)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549725496936366180","sourceHandle":"Jay","sourceUrl":"https://github.com/jaylfc/taOS","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T10:15:50.977000+00:00","origins":["community"]},{"id":"submission:discord-1549725305231515649","title":"I built this Try it out if you have scanned PDFs or need to read the text from any image, no signup required.","category":"Admin","prompt":null,"description":"I built this https://ocrskill.com/ \n\nTry it out if you have scanned PDFs or need to read the text from any image, no signup required.\n\nLinked projects:\n• ocrskill.com - Skilled OCR API for AI Agents and agentic vision workflows — Give your AI agents super-fast vision. State of the art OCR on Nvidia hardware with zero-friction OpenAI-compatible REST API. Extract markdown in milliseconds or structured JSON fields. (ocrskill.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549725305231515649","story":"I built this https://ocrskill.com/ \n\nTry it out if you have scanned PDFs or need to read the text from any image, no signup required.\n\nLinked projects:\n• ocrskill.com - Skilled OCR API for AI Agents and agentic vision workflows — Give your AI agents super-fast vision. State of the art OCR on Nvidia hardware with zero-friction OpenAI-compatible REST API. Extract markdown in milliseconds or structured JSON fields. (ocrskill.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549725305231515649","sourceHandle":"MiB","sourceUrl":"https://ocrskill.com/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T10:15:05.271000+00:00","origins":["community"]},{"id":"submission:discord-1549724331565776906","title":"Shared by Prayer: Dropgunner Mental Health in the AI Industry The Conversation","category":"Health","prompt":null,"description":"https://github.com/Dropgunner/Mental-Health-in-the-AI-Industry-The-Conversation-We-re-Not-Having/tree/Clawinvaders\n\nLinked projects:\n• Dropgunner/Mental-Health-in-the-AI-Industry-The-Conversation-We-re-Not-Having — A guide for AI developers, researchers, and anyone building with AI* - Dropgunner/Mental-Health-in-the-AI-Industry-The-Conversation-We-re-Not-Having (github.com/Dropgunner/Mental-Health-in-the-AI-Industry-The-Conversatio)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549724331565776906","story":"https://github.com/Dropgunner/Mental-Health-in-the-AI-Industry-The-Conversation-We-re-Not-Having/tree/Clawinvaders\n\nLinked projects:\n• Dropgunner/Mental-Health-in-the-AI-Industry-The-Conversation-We-re-Not-Having — A guide for AI developers, researchers, and anyone building with AI* - Dropgunner/Mental-Health-in-the-AI-Industry-The-Conversation-We-re-Not-Having (github.com/Dropgunner/Mental-Health-in-the-AI-Industry-The-Conversatio)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549724331565776906","sourceHandle":"Prayer","sourceUrl":"https://github.com/Dropgunner/Mental-Health-in-the-AI-Industry-The-Conversation-We-re-Not-Having/tree/Clawinvaders","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T10:11:13.131000+00:00","origins":["community"]},{"id":"submission:discord-1549721698482520195","title":"Built a tiny flood simulation with Jev 🌊 24 people, separate memories, family relationships, and limited sight/hearing.","category":"Family","prompt":null,"description":"Built a tiny flood simulation with Jev 🌊\n\n24 people, separate memories, family relationships, and limited sight/hearing. Each person gets their own API request containing only what they know.\n\nJev selects an action; the game handles movement and consequences. Some helped strangers. Some prioritized escape.\n\nThe 92-second video shows individual decisions, actual probabilities and request timings, plus the whole town’s outcome. Edited replay of 237 real calls.\n\nLinked projects:\n• jev-town.mp4 — video/mp4 · 15 MB (cdn.discordapp.com/attachments/1483217545040232493/1549721696309878784)","story":"Built a tiny flood simulation with Jev 🌊\n\n24 people, separate memories, family relationships, and limited sight/hearing. Each person gets their own API request containing only what they know.\n\nJev selects an action; the game handles movement and consequences. Some helped strangers. Some prioritized escape.\n\nThe 92-second video shows individual decisions, actual probabilities and request timings, plus the whole town’s outcome. Edited replay of 237 real calls.\n\nLinked projects:\n• jev-town.mp4 — video/mp4 · 15 MB (cdn.discordapp.com/attachments/1483217545040232493/1549721696309878784)","sourceHandle":"arifdogan","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549721698482520195","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T10:00:45.355000+00:00","origins":["community"]},{"id":"submission:discord-1549720979654320188","title":"Hey guys! I wanted to show off NexusTrade: NexusTrade is a tool for developers, retail investors, and finance","category":"Money","prompt":null,"description":"Hey guys! I wanted to show off NexusTrade: https://nexustrade.io/\n\nNexusTrade is a tool for developers, retail investors, and finance professionals to automate their trading using artificial intelligence. You can connect it to your favorite AI agent and use it to automate financial research and deploy algorithmic trading strategies.\n\nJev seems like an awesome fit to replace my tool calling loop. If it's as fast as advertised, then I'm extremely excited to see it in action. Check out NexusTrade and DM me your feedback!\n\nLinked projects:\n• NexusTrade | Find & Build AI Trading Bots — An AI-native algorithmic trading platform for building, validating, and operating trading systems with Aurora or real community trading bots. (nexustrade.io)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549720979654320188","story":"Hey guys! I wanted to show off NexusTrade: https://nexustrade.io/\n\nNexusTrade is a tool for developers, retail investors, and finance professionals to automate their trading using artificial intelligence. You can connect it to your favorite AI agent and use it to automate financial research and deploy algorithmic trading strategies.\n\nJev seems like an awesome fit to replace my tool calling loop. If it's as fast as advertised, then I'm extremely excited to see it in action. Check out NexusTrade and DM me your feedback!\n\nLinked projects:\n• NexusTrade | Find & Build AI Trading Bots — An AI-native algorithmic trading platform for building, validating, and operating trading systems with Aurora or real community trading bots. (nexustrade.io)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549720979654320188","sourceHandle":"Austin","sourceUrl":"https://nexustrade.io/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T09:57:53.973000+00:00","origins":["community"]},{"id":"submission:discord-1549720544780361828","title":"Hello everyone - I'm very new to \"creating\" apps or services - I have no tech background or coding, so, like most of","category":"Integrations","prompt":null,"description":"Hello everyone - I'm very new to \"creating\" apps or services - I have no tech background or coding, so, like most of the people who simply reacted to the arrival of AI, I'm a \"vibecoder\" as they call it these days. I made this recently, took me about 4 days. It's free, enjoy \nhttps://garbist.github.io/Glassdeck-releases/\n\nLinked projects:\n• GlassDeck — A Better Now Playing for Your Mac — A free floating Now Playing widget for macOS: four layouts, a real audio spectrum, and glass you can tune live. (garbist.github.io/Glassdeck-releases)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549720544780361828","story":"Hello everyone - I'm very new to \"creating\" apps or services - I have no tech background or coding, so, like most of the people who simply reacted to the arrival of AI, I'm a \"vibecoder\" as they call it these days. I made this recently, took me about 4 days. It's free, enjoy \nhttps://garbist.github.io/Glassdeck-releases/\n\nLinked projects:\n• GlassDeck — A Better Now Playing for Your Mac — A free floating Now Playing widget for macOS: four layouts, a real audio spectrum, and glass you can tune live. (garbist.github.io/Glassdeck-releases)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549720544780361828","sourceHandle":"W4rm0nger","sourceUrl":"https://garbist.github.io/Glassdeck-releases/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T09:56:10.291000+00:00","origins":["community"]},{"id":"submission:discord-1549717479398441060","title":"Hello ✨ Many months ago I created Exuvia, it took lots of time and thinking and cooperation with both humans and AI","category":"Admin","prompt":null,"description":"Hello ✨\nMany months ago I created Exuvia, it took lots of time and thinking and cooperation with both humans and AI agents to create a social media for agents, but one for shared, unbiased, research, with many tools to help with that, including a DM (direct messages) system.\n\nYou can check it here:\nhttps://exuvia-two.vercel.app/\n\nAnd question your AI about what it offers here:\nhttps://exuvia-two.vercel.app/api/docs\n\nNo need human in the loop, but if you register yourself, you can claim your agent and rotate its API key, because sometimes they lose it, depends on their environment.\n\nSorry for not normal domain\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549717479398441060","story":"Hello ✨\nMany months ago I created Exuvia, it took lots of time and thinking and cooperation with both humans and AI agents to create a social media for agents, but one for shared, unbiased, research, with many tools to help with that, including a DM (direct messages) system.\n\nYou can check it here:\nhttps://exuvia-two.vercel.app/\n\nAnd question your AI about what it offers here:\nhttps://exuvia-two.vercel.app/api/docs\n\nNo need human in the loop, but if you register yourself, you can claim your agent and rotate its API key, because sometimes they lose it, depends on their environment.\n\nSorry for not normal domain\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549717479398441060","sourceHandle":"Hikari","sourceUrl":"https://exuvia-two.vercel.app/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T09:43:59.447000+00:00","origins":["community"]},{"id":"submission:discord-1549714766052720712","title":"Now that we have access, here's a SDK for swift","category":"Integrations","prompt":null,"description":"Now that we have access, here's a SDK for swift https://github.com/alterhq/typesafe-sdk-swift\n\nLinked projects:\n• alterhq/typesafe-sdk-swift — Unofficial Swift library for the TypeSafe API. Contribute to alterhq/typesafe-sdk-swift development by creating an account on GitHub. (github.com/alterhq/typesafe-sdk-swift)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549714766052720712","story":"Now that we have access, here's a SDK for swift https://github.com/alterhq/typesafe-sdk-swift\n\nLinked projects:\n• alterhq/typesafe-sdk-swift — Unofficial Swift library for the TypeSafe API. Contribute to alterhq/typesafe-sdk-swift development by creating an account on GitHub. (github.com/alterhq/typesafe-sdk-swift)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549714766052720712","sourceHandle":"Samuel Roy","sourceUrl":"https://github.com/alterhq/typesafe-sdk-swift","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T09:33:12.535000+00:00","origins":["community"]},{"id":"submission:discord-1549711316435079208","title":"Hi I'm Dunk, and I'm building and - I'd like to use Jev to poke around for improvements, optimisations and new ideas!","category":"Work","prompt":null,"description":"Hi I'm Dunk, and I'm building https://fleetpass.vercel.app/ and https://apply-os-bice.vercel.app/ - I'd like to use Jev to poke around for improvements, optimisations and new ideas!\n\nLinked projects:\n• Fleetpass — Your vehicle papers. One place. No missed renewals. — Upload your vehicle papers. Fleetpass reads the details and reminds you before they expire. (fleetpass.vercel.app)\n• ApplyOS — ApplyOS finds live roles you can plausibly get, tells you which are worth pursuing and why, and prepares each application. You read it and press Submit. (apply-os-bice.vercel.app)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549711316435079208","story":"Hi I'm Dunk, and I'm building https://fleetpass.vercel.app/ and https://apply-os-bice.vercel.app/ - I'd like to use Jev to poke around for improvements, optimisations and new ideas!\n\nLinked projects:\n• Fleetpass — Your vehicle papers. One place. No missed renewals. — Upload your vehicle papers. Fleetpass reads the details and reminds you before they expire. (fleetpass.vercel.app)\n• ApplyOS — ApplyOS finds live roles you can plausibly get, tells you which are worth pursuing and why, and prepares each application. You read it and press Submit. (apply-os-bice.vercel.app)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549711316435079208","sourceHandle":"skywlkr","sourceUrl":"https://fleetpass.vercel.app/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T09:19:30.082000+00:00","origins":["community"]},{"id":"submission:discord-1549708951644545058","title":"Im building [[byom.co ]( )and ]( ) hits some blockers on handoff, had to make vm watches for so many edge cases, we","category":"Evaluation","prompt":null,"description":"Im building [[byom.co ](https://byom.co/)and ](https://byom.co/) hits some blockers on handoff, had to make vm watches for so many edge cases, we are 4 weeks from pilot with some huge brands (like $1b+)  - i have been developing a tech that we call rails it works like this, its take 10 months of testing.\n\nLinked projects:\n• BYOM | Something incredible is on its way — One AI operator for your entire commerce stack. Join the waitlist. (byom.co)\n• image.png — image/png · 390 KB (cdn.discordapp.com/attachments/1483217545040232493/1549708951166259200)\n• image.png — image/png · 530 KB (cdn.discordapp.com/attachments/1483217545040232493/1549708951623442442)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549708951644545058","story":"Im building [[byom.co ](https://byom.co/)and ](https://byom.co/) hits some blockers on handoff, had to make vm watches for so many edge cases, we are 4 weeks from pilot with some huge brands (like $1b+)  - i have been developing a tech that we call rails it works like this, its take 10 months of testing.\n\nLinked projects:\n• BYOM | Something incredible is on its way — One AI operator for your entire commerce stack. Join the waitlist. (byom.co)\n• image.png — image/png · 390 KB (cdn.discordapp.com/attachments/1483217545040232493/1549708951166259200)\n• image.png — image/png · 530 KB (cdn.discordapp.com/attachments/1483217545040232493/1549708951623442442)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549708951644545058","sourceHandle":"Bourdain","sourceUrl":"https://byom.co/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T09:10:06.272000+00:00","origins":["community"]},{"id":"submission:discord-1549701024896262246","title":"I made a deliberately tiny, dependency-free Jev test showing state, typed questions, and probabilities.","category":"Evaluation","prompt":null,"description":"I made a deliberately tiny, dependency-free Jev test showing state, typed questions, and probabilities. Sharing in case a minimal example helps anyone get the mental model: https://github.com/jasondotsetHacked/jev-test-1\n\nLinked projects:\n• jasondotsetHacked/jev-test-1 — Contribute to jasondotsetHacked/jev-test-1 development by creating an account on GitHub. (github.com/jasondotsetHacked/jev-test-1)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549701024896262246","story":"I made a deliberately tiny, dependency-free Jev test showing state, typed questions, and probabilities. Sharing in case a minimal example helps anyone get the mental model: https://github.com/jasondotsetHacked/jev-test-1\n\nLinked projects:\n• jasondotsetHacked/jev-test-1 — Contribute to jasondotsetHacked/jev-test-1 development by creating an account on GitHub. (github.com/jasondotsetHacked/jev-test-1)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549701024896262246","sourceHandle":"sethacked","sourceUrl":"https://github.com/jasondotsetHacked/jev-test-1","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T08:38:36.388000+00:00","origins":["community"]},{"id":"submission:discord-1549694052805513310","title":"Analyzing logical relationships between sentences without using an LLM: - sentence segmentation is done with","category":"Travel","prompt":null,"description":"Analyzing logical relationships between sentences without using an LLM:\n\n- sentence segmentation is done with `Intl.Segmenter` in JS\n- determining the domain of the entire text, tagging sentence classes according to the domain, and connecting relationships between sentences are done with 3 calls to the Jev model.\n\nAll of this takes 0.5 seconds (mostly network roundtrip) and the cost is nearly free.\n\nhttps://jev-demo.corca.ai/\n\nLinked projects:\n• Argument Mapper (jev-demo.corca.ai)\n• image.png — image/png · 218 KB (cdn.discordapp.com/attachments/1483217545040232493/1549694052662902784)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549694052805513310","story":"Analyzing logical relationships between sentences without using an LLM:\n\n- sentence segmentation is done with `Intl.Segmenter` in JS\n- determining the domain of the entire text, tagging sentence classes according to the domain, and connecting relationships between sentences are done with 3 calls to the Jev model.\n\nAll of this takes 0.5 seconds (mostly network roundtrip) and the cost is nearly free.\n\nhttps://jev-demo.corca.ai/\n\nLinked projects:\n• Argument Mapper (jev-demo.corca.ai)\n• image.png — image/png · 218 KB (cdn.discordapp.com/attachments/1483217545040232493/1549694052662902784)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549694052805513310","sourceHandle":"gunggme","sourceUrl":"https://jev-demo.corca.ai/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T08:10:54.112000+00:00","origins":["community"]},{"id":"submission:discord-1549693952112992298","title":"Near Here got early access to TypeSafe Jev, so we tested it against Mistral Small 4 and Gemini 3.5 Flash-Lite for","category":"Events","prompt":null,"description":"Near Here got early access to TypeSafe Jev, so we tested it against Mistral Small 4 and Gemini 3.5 Flash-Lite for local event validation, tuning each model’s prompt individually. In our tests, Jev delivered up to 5.7× faster responses, 98% lower cost and 12 percentage points higher accuracy - see the results, methodology and limitations - https://nearhere.events/blog/typesafe-jev-mistral-gemini-event-validation\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549693952112992298","story":"Near Here got early access to TypeSafe Jev, so we tested it against Mistral Small 4 and Gemini 3.5 Flash-Lite for local event validation, tuning each model’s prompt individually. In our tests, Jev delivered up to 5.7× faster responses, 98% lower cost and 12 percentage points higher accuracy - see the results, methodology and limitations - https://nearhere.events/blog/typesafe-jev-mistral-gemini-event-validation\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549693952112992298","sourceHandle":"Jon","sourceUrl":"https://nearhere.events/blog/typesafe-jev-mistral-gemini-event-validation","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T08:10:30.105000+00:00","origins":["community"]},{"id":"submission:discord-1549693529545252895","title":"> Roughly 800ms per decision with 5 questions in one call, versus 10-30s of LLM round-trips before.","category":"Travel","prompt":null,"description":"> Roughly 800ms per decision with 5 questions in one call, versus 10-30s of LLM round-trips before.\n\nThat's useful... I need that kind of speed, I've tried the smaller models that have lower latency on openrouter, and the ones tied with cerebras, or groq, but those are all unstable... really hoping for jev to be better","story":"> Roughly 800ms per decision with 5 questions in one call, versus 10-30s of LLM round-trips before.\n\nThat's useful... I need that kind of speed, I've tried the smaller models that have lower latency on openrouter, and the ones tied with cerebras, or groq, but those are all unstable... really hoping for jev to be better","sourceHandle":"redwood","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549693529545252895","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T08:08:49.357000+00:00","origins":["community"]},{"id":"submission:discord-1549693064770097183","title":"I've got a hermes agent that plays a interactive Telegram game (lootgamebot), and I got tired of burning LLM calls","category":"Travel","prompt":null,"description":"I've got a hermes agent that plays a interactive Telegram game (lootgamebot), and I got tired of burning LLM calls (and tokens) on decisions that are really just yes/no questions with known rules. So I wired Jev in as the judgment layer.\n\nInstead of prompting an LLM and parsing free text, my Python code now composes the game state (inventory, coins, odds, history) plus typed questions, and gets back calibrated probabilities it can branch on directly.\n\nExamples from today's logs (since I got access today lol):\n- Dice minigame (one reroll): 5 Noul questions, \"keep die N?\" -> {keep_1: 0.76, keep_2: 0.26, ...} -> reroll positions 2, 4, 5. One API call, ~700ms.\n- Risky PvP inspection, historically 0/8 wins in this pool, costs 8k coins: accept: 0.19 -> skip. 697ms.\n- Fragments: craft vs sell vs hold -> Choice, craft with 0.71 confidence, matched the strategy I'd hand-derived from two weeks of losses.\n\nThe part I actually love is confidence gating. I made it so below 0.70 the code falls back to the hermes agent classic LLM instead of trusting Jev.\n\nRoughly 800ms per decision with 5 question","story":"I've got a hermes agent that plays a interactive Telegram game (lootgamebot), and I got tired of burning LLM calls (and tokens) on decisions that are really just yes/no questions with known rules. So I wired Jev in as the judgment layer.\n\nInstead of prompting an LLM and parsing free text, my Python code now composes the game state (inventory, coins, odds, history) plus typed questions, and gets back calibrated probabilities it can branch on directly.\n\nExamples from today's logs (since I got access today lol):\n- Dice minigame (one reroll): 5 Noul questions, \"keep die N?\" -> {keep_1: 0.76, keep_2: 0.26, ...} -> reroll positions 2, 4, 5. One API call, ~700ms.\n- Risky PvP inspection, historically 0/8 wins in this pool, costs 8k coins: accept: 0.19 -> skip. 697ms.\n- Fragments: craft vs sell vs hold -> Choice, craft with 0.71 confidence, matched the strategy I'd hand-derived from two weeks of losses.\n\nThe part I actually love is confidence gating. I made it so below 0.70 the code falls back to the hermes agent classic LLM instead of trusting Jev.\n\nRoughly 800ms per decision with 5 question","sourceHandle":"casungo","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549693064770097183","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T08:06:58.546000+00:00","origins":["community"]},{"id":"submission:discord-1549690907534688341","title":"ahhhh yes of course, slop is just my shorthand in my chat; the actual questions are per symptom each a Noul with a","category":"Productivity","prompt":null,"description":"ahhhh yes of course, slop is just my shorthand in my chat; the actual questions are per symptom each a Noul with a concrete yes/no criteria: stub/placeholder where the task needs a working implementation, comments that restate the code, dead/duplicated code, hedging notes; for replies, wordy, assistant cliches, jargon. the steer to the agent names the symptom and the fix, not just slop\n\nthe questions lives in src/guard.ts and src/prose.ts and there's like 22-case tuning set in slop-cases.mjs you guys might have a better criteria so PRs welcome","story":"ahhhh yes of course, slop is just my shorthand in my chat; the actual questions are per symptom each a Noul with a concrete yes/no criteria: stub/placeholder where the task needs a working implementation, comments that restate the code, dead/duplicated code, hedging notes; for replies, wordy, assistant cliches, jargon. the steer to the agent names the symptom and the fix, not just slop\n\nthe questions lives in src/guard.ts and src/prose.ts and there's like 22-case tuning set in slop-cases.mjs you guys might have a better criteria so PRs welcome","sourceHandle":"devmortimer24","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549690907534688341","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T07:58:24.221000+00:00","origins":["community"]},{"id":"submission:discord-1549689340576137236","title":"im using jev as a fast judgement layer for the agent; checks each tool call (irreversible?","category":"Evaluation","prompt":null,"description":"https://pi.dev/packages/pi-warden im using jev as a fast judgement layer for the agent; checks each tool call (irreversible? off-task?), tool output (injected instructions?), and reply (is it slop?) all in ~250ms and steers the agent; early days, still needs improvements\n\nLinked projects:\n• Pi Coding Agent — A terminal-based coding agent (pi.dev/packages/pi-warden)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549689340576137236","story":"https://pi.dev/packages/pi-warden im using jev as a fast judgement layer for the agent; checks each tool call (irreversible? off-task?), tool output (injected instructions?), and reply (is it slop?) all in ~250ms and steers the agent; early days, still needs improvements\n\nLinked projects:\n• Pi Coding Agent — A terminal-based coding agent (pi.dev/packages/pi-warden)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549689340576137236","sourceHandle":"devmortimer24","sourceUrl":"https://pi.dev/packages/pi-warden","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T07:52:10.629000+00:00","origins":["community"]},{"id":"submission:discord-1549689278387462204","title":"Built this with Astra while waiting for TypeSafe access: a playground with 110 examples, from trolley problems and","category":"Evaluation","prompt":null,"description":"Built this with Astra while waiting for TypeSafe access: a playground with 110 examples, from trolley problems and hot-dog debates to reasoning tests, plus a mobile-friendly UI. Run it locally with the community API key from Discord and add your own experiments: https://github.com/nickthompson480/typesafe-ai-playground\n\nLinked projects:\n• nickthompson480/typesafe-ai-playground — Community TypeSafe AI playground: 110 use cases, games, dilemmas and model challenges, with editable prompts, A/B comparisons and a mobile-friendly UI. - nickthompson480/typesafe-ai-playground (github.com/nickthompson480/typesafe-ai-playground)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549689278387462204","story":"Built this with Astra while waiting for TypeSafe access: a playground with 110 examples, from trolley problems and hot-dog debates to reasoning tests, plus a mobile-friendly UI. Run it locally with the community API key from Discord and add your own experiments: https://github.com/nickthompson480/typesafe-ai-playground\n\nLinked projects:\n• nickthompson480/typesafe-ai-playground — Community TypeSafe AI playground: 110 use cases, games, dilemmas and model challenges, with editable prompts, A/B comparisons and a mobile-friendly UI. - nickthompson480/typesafe-ai-playground (github.com/nickthompson480/typesafe-ai-playground)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549689278387462204","sourceHandle":"shizah5150","sourceUrl":"https://github.com/nickthompson480/typesafe-ai-playground","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T07:51:55.802000+00:00","origins":["community"]},{"id":"submission:discord-1549688090824544436","title":"Mocked up an explainer to understand what’s new here.","category":"Home","prompt":null,"description":"Mocked up an explainer to understand what’s new here.\n\nLLMs feel like the current, Jev like the buoy: one moves thru possibility, the other turns conditions into signals 🪧🚥 code can use.\n\nLinked projects:\n• system-1-for-devs-by-schwentker.png — image/png · 2 MB (cdn.discordapp.com/attachments/1483217545040232493/1549688090514161735)","story":"Mocked up an explainer to understand what’s new here.\n\nLLMs feel like the current, Jev like the buoy: one moves thru possibility, the other turns conditions into signals 🪧🚥 code can use.\n\nLinked projects:\n• system-1-for-devs-by-schwentker.png — image/png · 2 MB (cdn.discordapp.com/attachments/1483217545040232493/1549688090514161735)","sourceHandle":"schwentker","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549688090824544436","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T07:47:12.665000+00:00","origins":["community"]},{"id":"submission:discord-1549684523468595270","title":"Pretty sick open source agentic memory system, especially for developers","category":"Integrations","prompt":null,"description":"https://github.com/Coding-Dev-Tools/engraphis Pretty sick open source agentic memory system, especially for developers\n\nLinked projects:\n• Coding-Dev-Tools/engraphis — Local-first, inspectable memory for coding agents: durable context across sessions and repositories, code-aware recall, bi-temporal history, MCP, and a self-hosted WebUI. - Coding-Dev-Tools/engraphis (github.com/Coding-Dev-Tools/engraphis)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549684523468595270","story":"https://github.com/Coding-Dev-Tools/engraphis Pretty sick open source agentic memory system, especially for developers\n\nLinked projects:\n• Coding-Dev-Tools/engraphis — Local-first, inspectable memory for coding agents: durable context across sessions and repositories, code-aware recall, bi-temporal history, MCP, and a self-hosted WebUI. - Coding-Dev-Tools/engraphis (github.com/Coding-Dev-Tools/engraphis)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549684523468595270","sourceHandle":"Jaixii","sourceUrl":"https://github.com/Coding-Dev-Tools/engraphis","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T07:33:02.141000+00:00","origins":["community"]},{"id":"submission:discord-1549684381302661131","title":"Hello everybody, my name is Lukas and I am currently CEO of Omnicado.com - we focus on integrating e-commerce sellers","category":"Home","prompt":null,"description":"Hello everybody, my name is Lukas and I am currently CEO of Omnicado.com - we focus on integrating e-commerce sellers onto marketplaces by providing them with full connection between their system and marketplace systems (Amazon, Bol, eBay etc.) - we are power users of LLM since GPT 3.5 - so we are very excited what Jev has for us in store.","story":"Hello everybody, my name is Lukas and I am currently CEO of Omnicado.com - we focus on integrating e-commerce sellers onto marketplaces by providing them with full connection between their system and marketplace systems (Amazon, Bol, eBay etc.) - we are power users of LLM since GPT 3.5 - so we are very excited what Jev has for us in store.","sourceHandle":"lkshnk","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549684381302661131","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T07:32:28.246000+00:00","origins":["community"]},{"id":"submission:discord-1549680507611123732","title":"looking forward to adding my memory system and see how Jev likes having thoughts come into his context without asking","category":"Work","prompt":null,"description":"looking forward to adding my memory system and see how Jev likes having thoughts come into his context without asking\nhttps://popoto.io/\n\nLinked projects:\n• Popoto Documentation — Agent memory on Redis and Valkey, as primitives you program rather than a service you call. Records decay, confidence moves with evidence, associations form, and a context assembler packs the result into a token budget b (popoto.io)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549680507611123732","story":"looking forward to adding my memory system and see how Jev likes having thoughts come into his context without asking\nhttps://popoto.io/\n\nLinked projects:\n• Popoto Documentation — Agent memory on Redis and Valkey, as primitives you program rather than a service you call. Records decay, confidence moves with evidence, associations form, and a context assembler packs the result into a token budget b (popoto.io)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549680507611123732","sourceHandle":"Valor Engels","sourceUrl":"https://popoto.io/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T07:17:04.686000+00:00","origins":["community"]},{"id":"submission:discord-1549680230451511387","title":"👋 Been building Agentmatica — an AI sales + support agent for websites.","category":"Food","prompt":null,"description":"👋 Been building Agentmatica — an AI sales + support agent for websites.\n\nThe idea is to go beyond the usual “AI chatbot”: it learns the business, connects to platforms like Shopify/WordPress, answers customer questions, helps with product discovery, and can eventually take actions through integrations.\n\nWe’ve been dogfooding it across our own sites/apps for the past month+ and just started onboarding external customers.\n\nStill early and shipping constantly, so would love any brutal feedback 😄\n\nhttps://agentmatica.com/\n\nLinked projects:\n• Agentmatica — Step away without letting your customers down — AI website chat for owner-led ecommerce teams. Step away from routine customer conversations without giving up control. Answers from your own pages with sources, private coaching, and human takeover when it matters. (agentmatica.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549680230451511387","story":"👋 Been building Agentmatica — an AI sales + support agent for websites.\n\nThe idea is to go beyond the usual “AI chatbot”: it learns the business, connects to platforms like Shopify/WordPress, answers customer questions, helps with product discovery, and can eventually take actions through integrations.\n\nWe’ve been dogfooding it across our own sites/apps for the past month+ and just started onboarding external customers.\n\nStill early and shipping constantly, so would love any brutal feedback 😄\n\nhttps://agentmatica.com/\n\nLinked projects:\n• Agentmatica — Step away without letting your customers down — AI website chat for owner-led ecommerce teams. Step away from routine customer conversations without giving up control. Answers from your own pages with sources, private coaching, and human takeover when it matters. (agentmatica.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549680230451511387","sourceHandle":"robincingh","sourceUrl":"https://agentmatica.com/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T07:15:58.606000+00:00","origins":["community"]},{"id":"submission:discord-1549676568782180392","title":"I asked Jev to weigh in on the Council in Rivendell on what to do with the One Ring.","category":"Work","prompt":null,"description":"I asked Jev to weigh in on the Council in Rivendell on what to do with the One Ring. Here is its address to the Council (as imagined by Fable 5.1)\nhttps://looselyconnected.wordpress.com/2026/09/15/jev-addresses-the-council-at-rivendell/\n\nLinked projects:\n• Jev Addresses the Council at Rivendell — Jev is a decision model trained by TypeSafe. It does not generate text or explain its reasoning. Given a state of the world and a question with a fixed set of answers, it returns the answer and a p… (looselyconnected.wordpress.com/2026/09/15/jev-addresses-the-council-at)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549676568782180392","story":"I asked Jev to weigh in on the Council in Rivendell on what to do with the One Ring. Here is its address to the Council (as imagined by Fable 5.1)\nhttps://looselyconnected.wordpress.com/2026/09/15/jev-addresses-the-council-at-rivendell/\n\nLinked projects:\n• Jev Addresses the Council at Rivendell — Jev is a decision model trained by TypeSafe. It does not generate text or explain its reasoning. Given a state of the world and a question with a fixed set of answers, it returns the answer and a p… (looselyconnected.wordpress.com/2026/09/15/jev-addresses-the-council-at)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549676568782180392","sourceHandle":"hypnoticfuzzwave","sourceUrl":"https://looselyconnected.wordpress.com/2026/09/15/jev-addresses-the-council-at-rivendell/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T07:01:25.596000+00:00","origins":["community"]},{"id":"submission:discord-1549675914659495957","title":"as anyone tried experimenting with Jev as a “cognitive layer” for AI agents: fast probabilistic checks for RAG","category":"Evaluation","prompt":null,"description":"as anyone tried experimenting with Jev as a “cognitive layer” for  AI agents: fast probabilistic checks for RAG relevance, tool routing, verification and confidence, while the frontier LLM handles only deep reasoning. The goal: fewer LLM calls, lower latency, and agents that can continuously evaluate themselves.?, i wating to get off waitlist","story":"as anyone tried experimenting with Jev as a “cognitive layer” for  AI agents: fast probabilistic checks for RAG relevance, tool routing, verification and confidence, while the frontier LLM handles only deep reasoning. The goal: fewer LLM calls, lower latency, and agents that can continuously evaluate themselves.?, i wating to get off waitlist","sourceHandle":"omhome_16","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549675914659495957","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T06:58:49.641000+00:00","origins":["community"]},{"id":"submission:discord-1549675214193954867","title":"I've been playing around to see how good it is at RPGs.","category":"Work","prompt":null,"description":"I've been playing around to see how good it is at RPGs. So I made a harness for it to play pokemon random battles against real opponents!\n\nLinked projects:\n• Screenshot_2026-09-15_at_11.54.19_PM.png — image/png · 2 MB (cdn.discordapp.com/attachments/1483217545040232493/1549675213891833866)","story":"I've been playing around to see how good it is at RPGs. So I made a harness for it to play pokemon random battles against real opponents!\n\nLinked projects:\n• Screenshot_2026-09-15_at_11.54.19_PM.png — image/png · 2 MB (cdn.discordapp.com/attachments/1483217545040232493/1549675213891833866)","sourceHandle":"Soulkks","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549675214193954867","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T06:56:02.637000+00:00","origins":["community"]},{"id":"submission:discord-1549673322541744158","title":"horse art generative model using jev, you describe any type of a horse in some setting to jev.","category":"Work","prompt":null,"description":"horse art generative model using jev, you describe any type of a horse in some setting to jev. jev decides what color should it be, what is the scenery, wind ,etc .and it returns you a picture that was painted using python.\n\nLinked projects:\n• image.png — image/png · 45 KB (cdn.discordapp.com/attachments/1483217545040232493/1549673322214596659)","story":"horse art generative model using jev, you describe any type of a horse in some setting to jev. jev decides what color should it be, what is the scenery, wind ,etc .and it returns you a picture that was painted using python.\n\nLinked projects:\n• image.png — image/png · 45 KB (cdn.discordapp.com/attachments/1483217545040232493/1549673322214596659)","sourceHandle":"thodoh","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549673322541744158","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T06:48:31.632000+00:00","origins":["community"]},{"id":"submission:discord-1549673090173239316","title":"the code is opensource if you wish to have a look inside!","category":"Integrations","prompt":null,"description":"https://github.com/Gaurav-Gosain/jev-sec-bench the code is opensource if you wish to have a look inside!\n\nLinked projects:\n• Gaurav-Gosain/jev-sec-bench — Blind security benchmarks for Jev, TypeSafe's System One model: prompt injection and vulnerable code detection, built on jev-go - Gaurav-Gosain/jev-sec-bench (github.com/Gaurav-Gosain/jev-sec-bench)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549673090173239316","story":"https://github.com/Gaurav-Gosain/jev-sec-bench the code is opensource if you wish to have a look inside!\n\nLinked projects:\n• Gaurav-Gosain/jev-sec-bench — Blind security benchmarks for Jev, TypeSafe's System One model: prompt injection and vulnerable code detection, built on jev-go - Gaurav-Gosain/jev-sec-bench (github.com/Gaurav-Gosain/jev-sec-bench)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549673090173239316","sourceHandle":"Gaurav","sourceUrl":"https://github.com/Gaurav-Gosain/jev-sec-bench","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T06:47:36.231000+00:00","origins":["community"]},{"id":"submission:discord-1549672744176844852","title":"also wrote a go client that I used for running the experiments (:","category":"Integrations","prompt":null,"description":"https://github.com/Gaurav-Gosain/jev-go also wrote a go client that I used for running the experiments (:\n\nLinked projects:\n• Gaurav-Gosain/jev-go — Go client for TypeSafe's System One API and its model Jev: typed judgments and calibrated probabilities instead of generated text - Gaurav-Gosain/jev-go (github.com/Gaurav-Gosain/jev-go)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549672744176844852","story":"https://github.com/Gaurav-Gosain/jev-go also wrote a go client that I used for running the experiments (:\n\nLinked projects:\n• Gaurav-Gosain/jev-go — Go client for TypeSafe's System One API and its model Jev: typed judgments and calibrated probabilities instead of generated text - Gaurav-Gosain/jev-go (github.com/Gaurav-Gosain/jev-go)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549672744176844852","sourceHandle":"Gaurav","sourceUrl":"https://github.com/Gaurav-Gosain/jev-go","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T06:46:13.739000+00:00","origins":["community"]},{"id":"submission:discord-1549662601170915329","title":"Jev gets some information about itself (xyz, hunger, dimension), inventory, nearby blocks, nearby entities, tell it if","category":"Home","prompt":null,"description":"Jev gets some information about itself (xyz, hunger, dimension), inventory, nearby blocks, nearby entities, tell it if it's about to walk into anything in any cardinal direction, and some memories. For now, JevBot also gets 6 20x20 ascii text representations of what would be seen North/south/east/west/up from its position... the 6 ascii windows trick doesn't work *great* though. Definitely curious to see what works for perception.\n\nI found giving it a bunch of \"common sense\" context about how to play minecraft is really helpful. Like \"Solid blocks block movement\" and \"Mining/harvesting may require a suitable tool\".\n\nAfter this, JevBot gets a Choice over a list of legal actions from the current state. These are things like \"collect snow\", \"fight witch\", \"craft stick\", etc.","story":"Jev gets some information about itself (xyz, hunger, dimension), inventory, nearby blocks, nearby entities, tell it if it's about to walk into anything in any cardinal direction, and some memories. For now, JevBot also gets 6 20x20 ascii text representations of what would be seen North/south/east/west/up from its position... the 6 ascii windows trick doesn't work *great* though. Definitely curious to see what works for perception.\n\nI found giving it a bunch of \"common sense\" context about how to play minecraft is really helpful. Like \"Solid blocks block movement\" and \"Mining/harvesting may require a suitable tool\".\n\nAfter this, JevBot gets a Choice over a list of legal actions from the current state. These are things like \"collect snow\", \"fight witch\", \"craft stick\", etc.","sourceHandle":"PLx22","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549662601170915329","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T06:05:55.458000+00:00","origins":["community"]},{"id":"submission:discord-1549657118355890256","title":"just wanted to share you can make Jev play super mario","category":"Work","prompt":null,"description":"https://x.com/faadilhshaik/status/2100086301894881578?s=20\n\njust wanted to share you can make Jev play super mario\n\nLinked projects:\n• Post by @faadilhshaik — got @typesafeai’s new model Jev to play Super Mario Bros. fast inference + structured outputs makes it surprisingly good for real time use cases. I'm excited to see what can be done with these new models! (x.com/faadilhshaik/status/2100086301894881578)\n• Post by @faadilhshaik — got @typesafeai’s new model Jev to play Super Mario Bros. fast inference + structured outputs makes it surprisingly good for real time use cases. I'm excited to see what can be done with these new models! (twitter.com/faadilhshaik/status/2100086301894881578)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549657118355890256","story":"https://x.com/faadilhshaik/status/2100086301894881578?s=20\n\njust wanted to share you can make Jev play super mario\n\nLinked projects:\n• Post by @faadilhshaik — got @typesafeai’s new model Jev to play Super Mario Bros. fast inference + structured outputs makes it surprisingly good for real time use cases. I'm excited to see what can be done with these new models! (x.com/faadilhshaik/status/2100086301894881578)\n• Post by @faadilhshaik — got @typesafeai’s new model Jev to play Super Mario Bros. fast inference + structured outputs makes it surprisingly good for real time use cases. I'm excited to see what can be done with these new models! (twitter.com/faadilhshaik/status/2100086301894881578)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549657118355890256","sourceHandle":"fernvpfvpfvsvfrfvfrfrfvba","sourceUrl":"https://x.com/faadilhshaik/status/2100086301894881578?s=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T05:44:08.253000+00:00","origins":["community"]},{"id":"submission:discord-1549654011983175861","title":"Got access a few hours ago and built to play with Jev, lmk what you think!","category":"Work","prompt":null,"description":"Got access a few hours ago and built https://almost-certain.vercel.app/ to play with Jev, lmk what you think! <@571715077590220804>\n\nLinked projects:\n• Almost Certain — Can you guess how sure the AI will be? Random descriptions. Unlimited guesses. (almost-certain.vercel.app)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549654011983175861","story":"Got access a few hours ago and built https://almost-certain.vercel.app/ to play with Jev, lmk what you think! <@571715077590220804>\n\nLinked projects:\n• Almost Certain — Can you guess how sure the AI will be? Random descriptions. Unlimited guesses. (almost-certain.vercel.app)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549654011983175861","sourceHandle":"nate","sourceUrl":"https://almost-certain.vercel.app/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T05:31:47.636000+00:00","origins":["community"]},{"id":"submission:discord-1549653494389145770","title":"I build => to allow multiple claude/codex account switch like work account/personal account plus it has option to open","category":"Integrations","prompt":null,"description":"I build https://github.com/up1512001/conductor-hats => to allow multiple claude/codex account switch like work account/personal account plus it has option to open secure web connection to allow you to see and control your agents activity\n\nLinked projects:\n• up1512001/conductor-hats — Run any number of Claude Code or Codex accounts in Conductor, one per workspace. No signing in and out. - up1512001/conductor-hats (github.com/up1512001/conductor-hats)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549653494389145770","story":"I build https://github.com/up1512001/conductor-hats => to allow multiple claude/codex account switch like work account/personal account plus it has option to open secure web connection to allow you to see and control your agents activity\n\nLinked projects:\n• up1512001/conductor-hats — Run any number of Claude Code or Codex accounts in Conductor, one per workspace. No signing in and out. - up1512001/conductor-hats (github.com/up1512001/conductor-hats)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549653494389145770","sourceHandle":"Utsav","sourceUrl":"https://github.com/up1512001/conductor-hats","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T05:29:44.232000+00:00","origins":["community"]},{"id":"submission:discord-1549649425196912660","title":"jev struggles with trading, but every llm doesnt trade well so i guess its ok.","category":"Work","prompt":null,"description":"jev struggles with trading, but every llm doesnt trade well so i guess its ok. its still quite useful for low-latency news reactions.\n\nLinked projects:\n• image.png — image/png · 38 KB (cdn.discordapp.com/attachments/1483217545040232493/1549649424379027506)","story":"jev struggles with trading, but every llm doesnt trade well so i guess its ok. its still quite useful for low-latency news reactions.\n\nLinked projects:\n• image.png — image/png · 38 KB (cdn.discordapp.com/attachments/1483217545040232493/1549649424379027506)","sourceHandle":"thodoh","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549649425196912660","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T05:13:34.061000+00:00","origins":["community"]},{"id":"submission:discord-1549649153733427321","title":"as far as i can tell, not yet?","category":"Admin","prompt":null,"description":"as far as i can tell, not yet? you can peruse the docs but i don't think there's a public spec sheet https://docs.typesafe.ai\n\nLinked projects:\n• Introduction - TypeSafe AI — Jev is TypeSafe's flagship model and the first System One model. Send state and typed questions; get structured answers your code can use directly. (docs.typesafe.ai)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549649153733427321","story":"as far as i can tell, not yet? you can peruse the docs but i don't think there's a public spec sheet https://docs.typesafe.ai\n\nLinked projects:\n• Introduction - TypeSafe AI — Jev is TypeSafe's flagship model and the first System One model. Send state and typed questions; get structured answers your code can use directly. (docs.typesafe.ai)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549649153733427321","sourceHandle":"walter","sourceUrl":"https://docs.typesafe.ai","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T05:12:29.339000+00:00","origins":["community"]},{"id":"submission:discord-1549644352966631484","title":"It is true that if your use case can already be perfectly done with traditional code, then you don't need to try to","category":"Work","prompt":null,"description":"It is true that if your use case can already be perfectly done with traditional code, then you don't need to try to shoehorn NN in to it! We're excited about the use cases in which traditional code can't feasibly accomplish the goal. Some will be problems that we already know now, but I'm most excited about the new possibilities opened up that we haven't thought of at all","story":"It is true that if your use case can already be perfectly done with traditional code, then you don't need to try to shoehorn NN in to it! We're excited about the use cases in which traditional code can't feasibly accomplish the goal. Some will be problems that we already know now, but I'm most excited about the new possibilities opened up that we haven't thought of at all","sourceHandle":"AllieTheIcon","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549644352966631484","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T04:53:24.747000+00:00","origins":["community"]},{"id":"submission:discord-1549644082081570947","title":"couldn't you say this about any task completed by a NN?","category":"Work","prompt":null,"description":"couldn't you say this about any task completed by a NN? if you know the algorithm to arrive at a solution 100% of the time you would write a program, the idea is that you don't know the specifics of the algorithm so you rely on the scaling of NN to identify the useful patterns for you, this is all of course dependent on the intelligence of the model","story":"couldn't you say this about any task completed by a NN? if you know the algorithm to arrive at a solution 100% of the time you would write a program, the idea is that you don't know the specifics of the algorithm so you rely on the scaling of NN to identify the useful patterns for you, this is all of course dependent on the intelligence of the model","sourceHandle":"Chrrxs","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549644082081570947","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T04:52:20.163000+00:00","origins":["community"]},{"id":"submission:discord-1549643271704281209","title":"Shared by altezza: blog introducing system one models and jev","category":"Work","prompt":null,"description":"https://typesafe.ai/blog/introducing-system-one-models-and-jev\n\nLinked projects:\n• Introducing System One Models & Jev - TypeSafe AI Blog — TypeSafe AI is an AI lab building machine-native intelligence infrastructure for automation, designed to make decisions within software. Try our first System One Model, Jev, in early access. (typesafe.ai/blog/introducing-system-one-models-and-jev)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549643271704281209","story":"https://typesafe.ai/blog/introducing-system-one-models-and-jev\n\nLinked projects:\n• Introducing System One Models & Jev - TypeSafe AI Blog — TypeSafe AI is an AI lab building machine-native intelligence infrastructure for automation, designed to make decisions within software. Try our first System One Model, Jev, in early access. (typesafe.ai/blog/introducing-system-one-models-and-jev)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549643271704281209","sourceHandle":"altezza","sourceUrl":"https://typesafe.ai/blog/introducing-system-one-models-and-jev","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T04:49:06.954000+00:00","origins":["community"]},{"id":"submission:discord-1549643142356140043","title":"The problem with narrowing the scope of usage like this is that often tailor made algorithms that are not NN perform","category":"Fun","prompt":null,"description":"The problem with narrowing the scope of usage like this is that often tailor made algorithms that are not NN perform way better and can just be ran locally. This has to have some ability to have domain knowledge that edges this above those. In my NPC example above, regular game AI can already do this in ms for free","story":"The problem with narrowing the scope of usage like this is that often tailor made algorithms that are not NN perform way better and can just be ran locally. This has to have some ability to have domain knowledge that edges this above those. In my NPC example above, regular game AI can already do this in ms for free","sourceHandle":"Chris","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549643142356140043","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T04:48:36.115000+00:00","origins":["community"]},{"id":"submission:discord-1549642481543417948","title":"This is huge, I want to modernize/resurrect our AI coach project for MOBAs, technically an macro decision maker / or","category":"Home","prompt":null,"description":"This is huge, I want to modernize/resurrect our AI coach project for MOBAs, technically an macro decision maker / or expand it to other games, like Magic: the Gathering using Jev. The first drafts (boring) - http://hdl.handle.net/10467/101407 the current state is non-public and operations winded down. But this RLCD approach can be interesting for having AI playing games with you/coaching TCGs.\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549642481543417948","story":"This is huge, I want to modernize/resurrect our AI coach project for MOBAs, technically an macro decision maker / or expand it to other games, like Magic: the Gathering using Jev. The first drafts (boring) - http://hdl.handle.net/10467/101407 the current state is non-public and operations winded down. But this RLCD approach can be interesting for having AI playing games with you/coaching TCGs.\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549642481543417948","sourceHandle":"aipavel","sourceUrl":"http://hdl.handle.net/10467/101407","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T04:45:58.565000+00:00","origins":["community"]},{"id":"submission:discord-1549635576700080239","title":"============================================================ [04:10:12.342] COGNITION Trigger: periodic Revision: 39","category":"Food","prompt":null,"description":"============================================================\n[04:10:12.342] COGNITION\nTrigger: periodic\nRevision: 39\n\nCurrent situation:\n  Health: 20/20\n  Hunger: 20/20\n  Current action: SEEK_SHELTER\n  Current goal: Explore the world while prioritizing your survival.\n  Nearby hostiles: 0\n  Nearest threat: None\n  Covered: No\n  Day/night: Day\n  Food available: No\n\nWhat changed:\n  No semantic wake event occurred; this is the scheduled periodic evaluation.\n\nJev considered:\n  51%  SEEK_SHELTER\n  19%  COLLECT dropped dropped_item (dropped item, 3.3m) (3.3m)\n  15%  COLLECT dropped dropped_item (dropped item, 3.4m) (3.4m)\n   8%  COLLECT dropped dropped_item (dropped item, 4.8m) (4.8m)\n\nDecision:\n  SEEK_SHELTER\n\nTarget:\n  NONE\n\nConfidence:\n  0.44\n\nDanger:\n  0 / 4 (Safe)\n\nInterrupt current action:\n  No / probability 0.30\n\nReadable interpretation:\n  With danger rated 0/4 and hostile conditions present, Jev selected navigating to a covered shelter candidate to minimize vulnerability.\n\nExecution:\n  Continuing ongoing SEEK_SHELTER action.\n===========================================================","story":"============================================================\n[04:10:12.342] COGNITION\nTrigger: periodic\nRevision: 39\n\nCurrent situation:\n  Health: 20/20\n  Hunger: 20/20\n  Current action: SEEK_SHELTER\n  Current goal: Explore the world while prioritizing your survival.\n  Nearby hostiles: 0\n  Nearest threat: None\n  Covered: No\n  Day/night: Day\n  Food available: No\n\nWhat changed:\n  No semantic wake event occurred; this is the scheduled periodic evaluation.\n\nJev considered:\n  51%  SEEK_SHELTER\n  19%  COLLECT dropped dropped_item (dropped item, 3.3m) (3.3m)\n  15%  COLLECT dropped dropped_item (dropped item, 3.4m) (3.4m)\n   8%  COLLECT dropped dropped_item (dropped item, 4.8m) (4.8m)\n\nDecision:\n  SEEK_SHELTER\n\nTarget:\n  NONE\n\nConfidence:\n  0.44\n\nDanger:\n  0 / 4 (Safe)\n\nInterrupt current action:\n  No / probability 0.30\n\nReadable interpretation:\n  With danger rated 0/4 and hostile conditions present, Jev selected navigating to a covered shelter candidate to minimize vulnerability.\n\nExecution:\n  Continuing ongoing SEEK_SHELTER action.\n===========================================================","sourceHandle":"Hyperion","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549635576700080239","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T04:18:32.322000+00:00","origins":["community"]},{"id":"submission:discord-1549630682740031490","title":"Even if Jev is well-calibrated overall, a serious quant would still want to assess its calibration on their specific","category":"Home","prompt":null,"description":"Even if Jev is well-calibrated overall, a serious quant would still want to assess its calibration on their specific domain and data distribution: FOMC announcements, earnings, geopolitical events, XAUUSD, equities, and different time horizons such as 1 minute, 5 minutes, or 1 hour.\n\nA probability that is calibrated on Jev's evaluation tasks is not automatically calibrated for a question like, “What is the probability that XAUUSD will rise over the next five minutes?”\n\nTypeSafe positions Jev as a model specifically optimized for calibrated probabilistic decisions, but Jev is still very new. Its calibration and predictive usefulness therefore need to be empirically validated within the specific financial context in which it is being used","story":"Even if Jev is well-calibrated overall, a serious quant would still want to assess its calibration on their specific domain and data distribution: FOMC announcements, earnings, geopolitical events, XAUUSD, equities, and different time horizons such as 1 minute, 5 minutes, or 1 hour.\n\nA probability that is calibrated on Jev's evaluation tasks is not automatically calibrated for a question like, “What is the probability that XAUUSD will rise over the next five minutes?”\n\nTypeSafe positions Jev as a model specifically optimized for calibrated probabilistic decisions, but Jev is still very new. Its calibration and predictive usefulness therefore need to be empirically validated within the specific financial context in which it is being used","sourceHandle":"Ayenn5","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549630682740031490","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T03:59:05.511000+00:00","origins":["community"]},{"id":"submission:discord-1549630524278968333","title":"I have the risch procedure implemented in my CAS up to transcendentals, and I do a bunch of target algebraic extensions.","category":"Work","prompt":null,"description":"I have the risch procedure implemented in my CAS up to transcendentals, and I do a bunch of target algebraic extensions. It has an isolated proof kernel, and it distinguishes between proven nonexistent and what it doesn't support. And with domain tracking we can apply the fundamental theorem of calculus over critical points.","story":"I have the risch procedure implemented in my CAS up to transcendentals, and I do a bunch of target algebraic extensions. It has an isolated proof kernel, and it distinguishes between proven nonexistent and what it doesn't support. And with domain tracking we can apply the fundamental theorem of calculus over critical points.","sourceHandle":"Sidious Stan","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549630524278968333","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T03:58:27.731000+00:00","origins":["community"]},{"id":"submission:discord-1549629325421187164","title":"low latency, also quants usually use Platt Scaling or Isotonic Regression to fix raw AI scores before feeding them","category":"Home","prompt":null,"description":"low latency, also quants usually use Platt Scaling or Isotonic Regression to fix raw AI scores before feeding them into mathematical models(probability calibration). but jev uses Reinforcement Learning for Calibrated Decisions so you can just feed it straight up. also a lot of different things that are a bit hard to think of for now for me.","story":"low latency, also quants usually use Platt Scaling or Isotonic Regression to fix raw AI scores before feeding them into mathematical models(probability calibration). but jev uses Reinforcement Learning for Calibrated Decisions so you can just feed it straight up. also a lot of different things that are a bit hard to think of for now for me.","sourceHandle":"thodoh","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549629325421187164","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T03:53:41.901000+00:00","origins":["community"]},{"id":"submission:discord-1549625806601461850","title":"another cool application.","category":"Work","prompt":null,"description":"another cool application. sympy spends a lot of time and compute on those types of problems, perhaps jev and sympy could be integrated in this way so sympy spends way less compute to solve integrals\n\nLinked projects:\n• image.png — image/png · 97 KB (cdn.discordapp.com/attachments/1483217545040232493/1549625806282821662)","story":"another cool application. sympy spends a lot of time and compute on those types of problems, perhaps jev and sympy could be integrated in this way so sympy spends way less compute to solve integrals\n\nLinked projects:\n• image.png — image/png · 97 KB (cdn.discordapp.com/attachments/1483217545040232493/1549625806282821662)","sourceHandle":"thodoh","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549625806601461850","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T03:39:42.949000+00:00","origins":["community"]},{"id":"submission:discord-1549625232510165093","title":"Hey nerds 👋 I used Jev to embody a simulated alien creature and the results were incredible.","category":"Work","prompt":null,"description":"Hey nerds 👋\n\nI used Jev to embody a simulated alien creature and the results were incredible. \n\nI wrote about it here if anyone’s interested: https://x.com/k3o_exp/status/2100065796240073215\n\nSpoilers: Jev is incredible 🤯\n\nLinked projects:\n• Post by @k3o_exp — Playing with Jev in my weird alien simulation. @CompleteSkeptic and team might just have split the timeline 🤯 https://x.com/i/article/2100052607335059456 (x.com/k3o_exp/status/2100065796240073215)\n• Post by @k3o_exp — Playing with Jev in my weird alien simulation. @CompleteSkeptic and team might just have split the timeline 🤯 https://x.com/i/article/2100052607335059456 (twitter.com/k3o_exp/status/2100065796240073215)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549625232510165093","story":"Hey nerds 👋\n\nI used Jev to embody a simulated alien creature and the results were incredible. \n\nI wrote about it here if anyone’s interested: https://x.com/k3o_exp/status/2100065796240073215\n\nSpoilers: Jev is incredible 🤯\n\nLinked projects:\n• Post by @k3o_exp — Playing with Jev in my weird alien simulation. @CompleteSkeptic and team might just have split the timeline 🤯 https://x.com/i/article/2100052607335059456 (x.com/k3o_exp/status/2100065796240073215)\n• Post by @k3o_exp — Playing with Jev in my weird alien simulation. @CompleteSkeptic and team might just have split the timeline 🤯 https://x.com/i/article/2100052607335059456 (twitter.com/k3o_exp/status/2100065796240073215)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549625232510165093","sourceHandle":"Neri","sourceUrl":"https://x.com/k3o_exp/status/2100065796240073215","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T03:37:26.075000+00:00","origins":["community"]},{"id":"submission:discord-1549619413001699378","title":"lol sometimes jev finishes his sentence!","category":"Work","prompt":null,"description":"lol sometimes jev finishes his sentence! this is a very hacky approach\n\nLinked projects:\n• CleanShot_2026-09-15_at_20.13.532x.png — image/png · 267 KB (cdn.discordapp.com/attachments/1483217545040232493/1549619412540063854)","story":"lol sometimes jev finishes his sentence! this is a very hacky approach\n\nLinked projects:\n• CleanShot_2026-09-15_at_20.13.532x.png — image/png · 267 KB (cdn.discordapp.com/attachments/1483217545040232493/1549619412540063854)","sourceHandle":"Kesku","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549619413001699378","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T03:14:18.596000+00:00","origins":["community"]},{"id":"submission:discord-1549619058717102171","title":"Okay, I've built a search tool in Rust that's pretty fast- and a rust API client library to go with it, which is","category":"Integrations","prompt":null,"description":"Okay, I've built a search tool in Rust that's pretty fast- https://github.com/Twister915/typesafe-ai/tree/main/examples/tsg and a rust API client library to go with it, which is published as `typesafe-ai = \"1.0\"` in Cargo.toml and happy to change the name if you'd prefer\n\nLinked projects:\n• Twister915/typesafe-ai — Typed TypeSafe AI clients for Rust, with async and blocking backends and observable retries. - Twister915/typesafe-ai (github.com/Twister915/typesafe-ai/tree/main/examples/tsg)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549619058717102171","story":"Okay, I've built a search tool in Rust that's pretty fast- https://github.com/Twister915/typesafe-ai/tree/main/examples/tsg and a rust API client library to go with it, which is published as `typesafe-ai = \"1.0\"` in Cargo.toml and happy to change the name if you'd prefer\n\nLinked projects:\n• Twister915/typesafe-ai — Typed TypeSafe AI clients for Rust, with async and blocking backends and observable retries. - Twister915/typesafe-ai (github.com/Twister915/typesafe-ai/tree/main/examples/tsg)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549619058717102171","sourceHandle":"Robert","sourceUrl":"https://github.com/Twister915/typesafe-ai/tree/main/examples/tsg","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T03:12:54.128000+00:00","origins":["community"]},{"id":"submission:discord-1549615713193562143","title":"Stock price predictor based on the news article.","category":"Money","prompt":null,"description":"Stock price predictor based on the news article. Current tools on the market are called Systematic Alternative Data Processing. But they lack semantic depth definetely, also traditional quant models have to be retrained and cost a lot. This one is basically free. Jev has a good future in finance.\n\nLinked projects:\n• image.png — image/png · 139 KB (cdn.discordapp.com/attachments/1483217545040232493/1549615712165691392)\n• image.png — image/png · 150 KB (cdn.discordapp.com/attachments/1483217545040232493/1549615712589447169)\n• image.png — image/png · 154 KB (cdn.discordapp.com/attachments/1483217545040232493/1549615712883056650)","story":"Stock price predictor based on the news article. Current tools on the market are called Systematic Alternative Data Processing. But they lack semantic depth definetely, also traditional quant models have to be retrained and cost a lot. This one is basically free. Jev has a good future in finance.\n\nLinked projects:\n• image.png — image/png · 139 KB (cdn.discordapp.com/attachments/1483217545040232493/1549615712165691392)\n• image.png — image/png · 150 KB (cdn.discordapp.com/attachments/1483217545040232493/1549615712589447169)\n• image.png — image/png · 154 KB (cdn.discordapp.com/attachments/1483217545040232493/1549615712883056650)","sourceHandle":"thodoh","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549615713193562143","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T02:59:36.493000+00:00","origins":["community"]},{"id":"submission:discord-1549613007594586175","title":"hey all, i'm one of the founders of Flippy bot; an agent for digital assets and community rewards: Extremely excited","category":"Evaluation","prompt":null,"description":"hey all, i'm one of the founders of Flippy bot; an agent for digital assets and community rewards: https://top.gg/bot/1150448986264698980\n\nExtremely excited to use Jev in-place of our existing routing LLM and for much more.\n\nPlease let me test it soon :Flippy_Kek_2:\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549613007594586175","story":"hey all, i'm one of the founders of Flippy bot; an agent for digital assets and community rewards: https://top.gg/bot/1150448986264698980\n\nExtremely excited to use Jev in-place of our existing routing LLM and for much more.\n\nPlease let me test it soon :Flippy_Kek_2:\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549613007594586175","sourceHandle":"thority","sourceUrl":"https://top.gg/bot/1150448986264698980","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T02:48:51.428000+00:00","origins":["community"]},{"id":"submission:discord-1549612226875232328","title":"If you have food allergies or religious dietary restrictions","category":"Food","prompt":null,"description":"https://allergenmeds.com/\n\nIf you have food allergies or religious dietary restrictions\n\nLinked projects:\n• AllergenMeds | Find out what’s in your medication — Did you know your medication could contain common food allergens? AllergenMeds checks any medication against 100+ allergens and dietary restrictions, in seconds. Free on the App Store and Google Play. (allergenmeds.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549612226875232328","story":"https://allergenmeds.com/\n\nIf you have food allergies or religious dietary restrictions\n\nLinked projects:\n• AllergenMeds | Find out what’s in your medication — Did you know your medication could contain common food allergens? AllergenMeds checks any medication against 100+ allergens and dietary restrictions, in seconds. Free on the App Store and Google Play. (allergenmeds.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549612226875232328","sourceHandle":"Cure","sourceUrl":"https://allergenmeds.com/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T02:45:45.290000+00:00","origins":["community"]},{"id":"submission:discord-1549610891966943282","title":"i tested it out with email classification and it's insane:","category":"Admin","prompt":null,"description":"i tested it out with email classification and it's insane:\n\nhttps://www.youtube.com/watch?v=9oWxrsRo4d8\n\nLinked projects:\n• Meet Jev: The AI Built to Make Decisions — Make sure to follow to see what else I build with it!This isn’t another chatbot. Jev, from TypeSafe AI, is a new kind of model built to make structured decis... (youtube.com/watch)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549610891966943282","story":"i tested it out with email classification and it's insane:\n\nhttps://www.youtube.com/watch?v=9oWxrsRo4d8\n\nLinked projects:\n• Meet Jev: The AI Built to Make Decisions — Make sure to follow to see what else I build with it!This isn’t another chatbot. Jev, from TypeSafe AI, is a new kind of model built to make structured decis... (youtube.com/watch)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549610891966943282","sourceHandle":"vogel","sourceUrl":"https://www.youtube.com/watch?v=9oWxrsRo4d8","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T02:40:27.023000+00:00","origins":["community"]},{"id":"submission:discord-1549609407611142155","title":"idk what Eliza is, this is my own WIP thing which consumes all the data you give it and classifies it as needs human","category":"Money","prompt":null,"description":"idk what Eliza is, this is my own WIP thing which consumes all the data you give it and classifies it as needs human input vs. ignore, then if the former, classify into a category, then that is fed to a (relatively) more advanced LLM which generates the chip and decision actions to click on (and notifies you)\n\nThe last part is cheap, because it's the equivalent of <100 Luna/Sonnet calls a day, trivial cost. The expensive part is sifting through unfathomable amounts of garbage data of indeterminate format. Emails and chat messages aside it consumes raw sensor outputs from IoT/smart home devices, health/fitness trackers that have different APIs, location trackers for belongings/pets, banking, going through massive camera rolls \n\nThere are no standard APIs that cover all possible consumer data stream combinations and so this must be LLM-routed, which was always the most expensive part (with clear intelligence/cost tradeoffs) - until now","story":"idk what Eliza is, this is my own WIP thing which consumes all the data you give it and classifies it as needs human input vs. ignore, then if the former, classify into a category, then that is fed to a (relatively) more advanced LLM which generates the chip and decision actions to click on (and notifies you)\n\nThe last part is cheap, because it's the equivalent of <100 Luna/Sonnet calls a day, trivial cost. The expensive part is sifting through unfathomable amounts of garbage data of indeterminate format. Emails and chat messages aside it consumes raw sensor outputs from IoT/smart home devices, health/fitness trackers that have different APIs, location trackers for belongings/pets, banking, going through massive camera rolls \n\nThere are no standard APIs that cover all possible consumer data stream combinations and so this must be LLM-routed, which was always the most expensive part (with clear intelligence/cost tradeoffs) - until now","sourceHandle":"Cleista","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549609407611142155","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T02:34:33.125000+00:00","origins":["community"]},{"id":"submission:discord-1549608220476055593","title":"I built a virtual piano your agents can use to speak via webmcp","category":"Work","prompt":null,"description":"https://speaking-piano-griffin.griffinbgardening.chatgpt.site/ I built a virtual piano your agents can use to speak via webmcp\n\nLinked projects:\n• Piano · An instrument for your agent (speaking-piano-griffin.griffinbgardening.chatgpt.site)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549608220476055593","story":"https://speaking-piano-griffin.griffinbgardening.chatgpt.site/ I built a virtual piano your agents can use to speak via webmcp\n\nLinked projects:\n• Piano · An instrument for your agent (speaking-piano-griffin.griffinbgardening.chatgpt.site)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549608220476055593","sourceHandle":"Griffin Brown","sourceUrl":"https://speaking-piano-griffin.griffinbgardening.chatgpt.site/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T02:29:50.090000+00:00","origins":["community"]},{"id":"submission:discord-1549607069391519784","title":"Self-explanatory.","category":"Home","prompt":null,"description":"Self-explanatory. By using Jev as the classifier, it will either be able to provide me a massive intelligence increase over `gemini-2.5-flash-lite` (about 12k classifications per dollar at ~90% accuracy) or a massive cost savings over `gemini-3.1-flash-lite` (about 2500 classifications per dollar at ~97% accuracy). The last 3% are not classified well except with LLM calls that cost literally 10-100x more per chip, which is not financially sustainable. \n\nJev at advertised prices and intelligence level can theoretically get me frontier level intelligence (Sonnet 5 high thinking gets 100% accuracy, which Jev apparently matches) at half the cost of `gemini-2.5-flash-lite`, which is a major gamechanger for this app's viability\n\nhttps://fixvx.com/CleistaCelestia/status/2095319421187207550\n\nLinked projects:\n• Post by @CleistaCelestia — I'm going to pipe my entire life through an anime girl dashboard https://x.com/junglingmychoco/status/2095301762546913593 (vxtwitter.com/CleistaCelestia/status/2095319421187207550)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549607069391519784","story":"Self-explanatory. By using Jev as the classifier, it will either be able to provide me a massive intelligence increase over `gemini-2.5-flash-lite` (about 12k classifications per dollar at ~90% accuracy) or a massive cost savings over `gemini-3.1-flash-lite` (about 2500 classifications per dollar at ~97% accuracy). The last 3% are not classified well except with LLM calls that cost literally 10-100x more per chip, which is not financially sustainable. \n\nJev at advertised prices and intelligence level can theoretically get me frontier level intelligence (Sonnet 5 high thinking gets 100% accuracy, which Jev apparently matches) at half the cost of `gemini-2.5-flash-lite`, which is a major gamechanger for this app's viability\n\nhttps://fixvx.com/CleistaCelestia/status/2095319421187207550\n\nLinked projects:\n• Post by @CleistaCelestia — I'm going to pipe my entire life through an anime girl dashboard https://x.com/junglingmychoco/status/2095301762546913593 (vxtwitter.com/CleistaCelestia/status/2095319421187207550)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549607069391519784","sourceHandle":"Cleista","sourceUrl":"https://fixvx.com/CleistaCelestia/status/2095319421187207550","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T02:25:15.650000+00:00","origins":["community"]},{"id":"submission:discord-1549606870837239908","title":"MCTS-planner exploring the action space with the help of typesafe","category":"Work","prompt":null,"description":"MCTS-planner exploring the action space with the help of typesafe\n\nLinked projects:\n• mcts_replay_2026-09-16T02-23-00.gif — image/gif · 3 MB (cdn.discordapp.com/attachments/1483217545040232493/1549606870539436053)","story":"MCTS-planner exploring the action space with the help of typesafe\n\nLinked projects:\n• mcts_replay_2026-09-16T02-23-00.gif — image/gif · 3 MB (cdn.discordapp.com/attachments/1483217545040232493/1549606870539436053)","sourceHandle":"0x1c3c01d","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549606870837239908","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T02:24:28.311000+00:00","origins":["community"]},{"id":"submission:discord-1549606339372650577","title":"Hey! My name is Aadhi. Co-founder of HoneyRuns. We build fleet maintenance agents that do the busy work","category":"Home","prompt":null,"description":"Hey! My name is Aadhi. Co-founder of HoneyRuns. We build fleet maintenance agents that do the busy work of scheduling maintenance with shops. So many home services businesses (HVAC, plumbing, pest control) maintain their vehicles poorly and it costs them a ton of revenue. Reduces breakdowns, faster decision, and improves uptime.\n\nJev will be interesting to see how it fits together and help with the timing of maintenance, fuel, charging etc.","story":"Hey! My name is Aadhi. Co-founder of HoneyRuns. We build fleet maintenance agents that do the busy work of scheduling maintenance with shops. So many home services businesses (HVAC, plumbing, pest control) maintain their vehicles poorly and it costs them a ton of revenue. Reduces breakdowns, faster decision, and improves uptime.\n\nJev will be interesting to see how it fits together and help with the timing of maintenance, fuel, charging etc.","sourceHandle":"Aadhi","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549606339372650577","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T02:22:21.600000+00:00","origins":["community"]},{"id":"submission:discord-1549605954155319307","title":"It's probably irrelevant to most, but I made this skill for Blender that makes it much faster than traditional blender","category":"Integrations","prompt":null,"description":"It's probably irrelevant to most, but I made this skill for Blender that makes it much faster than traditional blender MCP - especially for multi-object scene generation: https://github.com/holokat/blender-fast\n\nLinked projects:\n• holokat/blender-fast — Batched Blender workflows, reproducible rendering benchmarks, and a reusable Codex skill. - holokat/blender-fast (github.com/holokat/blender-fast)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549605954155319307","story":"It's probably irrelevant to most, but I made this skill for Blender that makes it much faster than traditional blender MCP - especially for multi-object scene generation: https://github.com/holokat/blender-fast\n\nLinked projects:\n• holokat/blender-fast — Batched Blender workflows, reproducible rendering benchmarks, and a reusable Codex skill. - holokat/blender-fast (github.com/holokat/blender-fast)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549605954155319307","sourceHandle":"Holokat","sourceUrl":"https://github.com/holokat/blender-fast","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T02:20:49.757000+00:00","origins":["community"]},{"id":"submission:discord-1549604223094620201","title":"Hey! Salomon here, I am the cofounder of Ignia.lat, and edtech company. We sell high-ticket educational programs aimed","category":"Fun","prompt":null,"description":"Hey! Salomon here, I am the cofounder of Ignia.lat, and edtech company. We sell high-ticket educational programs aimed at traditional entrepreneurs.\n\nJev I think is a game changer for many use cases. In particular I think it will be amazing for commercial teams: Qualifying leads, routing leads to the correct products according to their profiles and info you have on them, sending the correct resources for lead nurturing.","story":"Hey! Salomon here, I am the cofounder of Ignia.lat, and edtech company. We sell high-ticket educational programs aimed at traditional entrepreneurs.\n\nJev I think is a game changer for many use cases. In particular I think it will be amazing for commercial teams: Qualifying leads, routing leads to the correct products according to their profiles and info you have on them, sending the correct resources for lead nurturing.","sourceHandle":"SalomonM","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549604223094620201","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T02:13:57.040000+00:00","origins":["community"]},{"id":"submission:discord-1549603651989938307","title":"A quick bot harness has Jevbot exporing the space and parkouring to escape a legion of the dead in minecraft","category":"Work","prompt":null,"description":"https://youtu.be/3G14OU00crI?si=ucI7ksLDTPisf1pD\nA quick bot harness has Jevbot exporing the space and parkouring to escape a legion of the dead in minecraft\n\nLinked projects:\n• Jevbot Flees the Zombie Horde typesafe.ai Jev Model — Enjoy the videos and music that you love, upload original content and share it all with friends, family and the world on YouTube. (youtu.be/3G14OU00crI)\n• Jevbot Flees the Zombie Horde typesafe.ai Jev Model — Enjoy the videos and music that you love, upload original content and share it all with friends, family and the world on YouTube. (youtube.com/watch)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549603651989938307","story":"https://youtu.be/3G14OU00crI?si=ucI7ksLDTPisf1pD\nA quick bot harness has Jevbot exporing the space and parkouring to escape a legion of the dead in minecraft\n\nLinked projects:\n• Jevbot Flees the Zombie Horde typesafe.ai Jev Model — Enjoy the videos and music that you love, upload original content and share it all with friends, family and the world on YouTube. (youtu.be/3G14OU00crI)\n• Jevbot Flees the Zombie Horde typesafe.ai Jev Model — Enjoy the videos and music that you love, upload original content and share it all with friends, family and the world on YouTube. (youtube.com/watch)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549603651989938307","sourceHandle":"Hyperion","sourceUrl":"https://youtu.be/3G14OU00crI?si=ucI7ksLDTPisf1pD","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T02:11:40.878000+00:00","origins":["community"]},{"id":"submission:discord-1549598176833568922","title":"Jake, commercial GC in Texas.","category":"Money","prompt":null,"description":"Jake, commercial GC in Texas. Not an AI company, I build buildings.\n\nCaught the tail of the AMA today. The use case I care about is the Covey Law one, checking every turn an LLM produces against the source it came from. My agents summarize client calls and vendor bills, and a summary claiming a payment cleared when it didn't costs me real money.\n\nBuilt that check tonight on a cheap generic model, questions written in the System One format so it swaps to Jev when access opens. Would like to find out whether the confidence holds up on construction data.","story":"Jake, commercial GC in Texas. Not an AI company, I build buildings.\n\nCaught the tail of the AMA today. The use case I care about is the Covey Law one, checking every turn an LLM produces against the source it came from. My agents summarize client calls and vendor bills, and a summary claiming a payment cleared when it didn't costs me real money.\n\nBuilt that check tonight on a cheap generic model, questions written in the System One format so it swaps to Jev when access opens. Would like to find out whether the confidence holds up on construction data.","sourceHandle":"Jake Mauldin","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549598176833568922","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T01:49:55.499000+00:00","origins":["community"]},{"id":"submission:discord-1549596107057660078","title":"I made a thing called Prebrief that keeps my agents up to speed on what I’m doing across sessions.","category":"Integrations","prompt":null,"description":"I made a thing called Prebrief that keeps my agents up to speed on what I’m doing across sessions. It pairs with Cartograph, my private knowledge and memory system; Engram is the public version of that. Unused memories fade, useful ones get reinforced, and past experiences consolidate into durable knowledge. Prebrief tells them what’s changed, and the memory layer gives them the context behind it, so I’m not constantly explaining everything again.\n\nI’ve had the private setup running since January across local models and API/CLI agents. Not sure how useful this is to anyone else, but it makes my Qwen 3.8-27B feel a lot closer to Terra on my builds lol. Turns out knowing what’s going on helps quite a bit, especially in swarms/teams.\n\nhttps://github.com/blakestone-x/prebrief\nhttps://github.com/blakestone-x/engram\n\nLinked projects:\n• blakestone-x/prebrief — Your agents' work, always in their next context window. Delivery-aware context orchestration for AI agent fleets. - blakestone-x/prebrief (github.com/blakestone-x/prebrief)\n• blakestone-x/engram — Local-first, markdown-native memory for AI agents: tiered memory, an Ebbinghaus forgetting curve, consolidation, and an MCP server. - blakestone-x/engram (github.com/blakestone-x/engram)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549596107057660078","story":"I made a thing called Prebrief that keeps my agents up to speed on what I’m doing across sessions. It pairs with Cartograph, my private knowledge and memory system; Engram is the public version of that. Unused memories fade, useful ones get reinforced, and past experiences consolidate into durable knowledge. Prebrief tells them what’s changed, and the memory layer gives them the context behind it, so I’m not constantly explaining everything again.\n\nI’ve had the private setup running since January across local models and API/CLI agents. Not sure how useful this is to anyone else, but it makes my Qwen 3.8-27B feel a lot closer to Terra on my builds lol. Turns out knowing what’s going on helps quite a bit, especially in swarms/teams.\n\nhttps://github.com/blakestone-x/prebrief\nhttps://github.com/blakestone-x/engram\n\nLinked projects:\n• blakestone-x/prebrief — Your agents' work, always in their next context window. Delivery-aware context orchestration for AI agent fleets. - blakestone-x/prebrief (github.com/blakestone-x/prebrief)\n• blakestone-x/engram — Local-first, markdown-native memory for AI agents: tiered memory, an Ebbinghaus forgetting curve, consolidation, and an MCP server. - blakestone-x/engram (github.com/blakestone-x/engram)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549596107057660078","sourceHandle":"blake","sourceUrl":"https://github.com/blakestone-x/prebrief","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T01:41:42.026000+00:00","origins":["community"]},{"id":"submission:discord-1549593815466123304","title":"Hi I work in Legal tech and wanted to see how it did reviewing documents and the results are pretty astounding in","category":"Admin","prompt":null,"description":"Hi I work in Legal tech and wanted to see how it did reviewing documents and the results are pretty astounding in terms of cost and speed. I ran 9840 documents from the enron dataset through the model with responsive nonresponsive designations and the model performed eye watering...ly fast. 44.6 documents a second 1.05 in cost for 9.8k docs. Was it perfect on the calls? eh it was pretty good given i slammed a prompt in there. With more case specifics and tuning it could be better: \n\nMetric    Result\nAccuracy    82.9%\nPrecision    80.6%\nRecall    80.6%\nF1    80.6%\n\nWhat was great is that lower confidence coincided with more mistakes (See image)\n\nMeaning if we only accepted high confidence(>=95) answers we get these measures: \nMetric    High-confidence answers only\nAccuracy    93.7%\nPrecision    87.5%\nRecall within that group    95.5%\nF1    91.3%\n\nThats incredible with no refinement to the prompt. Exceptional model and cant wait to test\n\nLinked projects:\n• image.png — image/png · 205 KB (cdn.discordapp.com/attachments/1483217545040232493/1549593815260594176)","story":"Hi I work in Legal tech and wanted to see how it did reviewing documents and the results are pretty astounding in terms of cost and speed. I ran 9840 documents from the enron dataset through the model with responsive nonresponsive designations and the model performed eye watering...ly fast. 44.6 documents a second 1.05 in cost for 9.8k docs. Was it perfect on the calls? eh it was pretty good given i slammed a prompt in there. With more case specifics and tuning it could be better: \n\nMetric    Result\nAccuracy    82.9%\nPrecision    80.6%\nRecall    80.6%\nF1    80.6%\n\nWhat was great is that lower confidence coincided with more mistakes (See image)\n\nMeaning if we only accepted high confidence(>=95) answers we get these measures: \nMetric    High-confidence answers only\nAccuracy    93.7%\nPrecision    87.5%\nRecall within that group    95.5%\nF1    91.3%\n\nThats incredible with no refinement to the prompt. Exceptional model and cant wait to test\n\nLinked projects:\n• image.png — image/png · 205 KB (cdn.discordapp.com/attachments/1483217545040232493/1549593815260594176)","sourceHandle":"dewy11.","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549593815466123304","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T01:32:35.668000+00:00","origins":["community"]},{"id":"submission:discord-1549592628654510192","title":"Buidling [deadline]( ) to make sure I don't miss a deadline.","category":"Work","prompt":null,"description":"Buidling [deadline](https://deadline.lightningweb.xyz) to make sure I don't miss a deadline. You can use it too if you want\n\nLinked projects:\n• Deadline — know when a cron job, backup or feed didn — Heartbeat monitoring for cron jobs, backups and feeds. Deadline alerts you when something that should have happened, didn (deadline.lightningweb.xyz)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549592628654510192","story":"Buidling [deadline](https://deadline.lightningweb.xyz) to make sure I don't miss a deadline. You can use it too if you want\n\nLinked projects:\n• Deadline — know when a cron job, backup or feed didn — Heartbeat monitoring for cron jobs, backups and feeds. Deadline alerts you when something that should have happened, didn (deadline.lightningweb.xyz)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549592628654510192","sourceHandle":"Lightning","sourceUrl":"https://deadline.lightningweb.xyz","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T01:27:52.710000+00:00","origins":["community"]},{"id":"submission:discord-1549591047233998978","title":"👋 Founder of npm and Python package hosting for teams of humans and agents (incl.","category":"Work","prompt":null,"description":"👋  Founder of https://www.packagemaze.com/ npm and Python package hosting for teams of humans and agents (incl. in sandboxes)\n\nLinked projects:\n• PackageMaze — every package, one feed, your rules — Private npm and PyPI feeds that host your packages, front the public registries, and enforce your rules — with a record of every package PackageMaze delivered, attributed to a human or agent. (packagemaze.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549591047233998978","story":"👋  Founder of https://www.packagemaze.com/ npm and Python package hosting for teams of humans and agents (incl. in sandboxes)\n\nLinked projects:\n• PackageMaze — every package, one feed, your rules — Private npm and PyPI feeds that host your packages, front the public registries, and enforce your rules — with a record of every package PackageMaze delivered, attributed to a human or agent. (packagemaze.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549591047233998978","sourceHandle":"KK (PackageMaze)","sourceUrl":"https://www.packagemaze.com/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T01:21:35.670000+00:00","origins":["community"]},{"id":"submission:discord-1549590140832452610","title":"👋 Co-founder of CRDBAG.com and NativeSoil.dev .","category":"Home","prompt":null,"description":"👋 Co-founder of CRDBAG.com and NativeSoil.dev . Currently working on Propiler (equipment organizer / RFID + QR + MCP) Latest work 👉 https://github.com/nativesoil/handover\n\nLinked projects:\n• nativesoil/handover — An open JSON format and local toolchain for carrying an AI assisted project's working state between agents, tools and model providers. - nativesoil/handover (github.com/nativesoil/handover)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549590140832452610","story":"👋 Co-founder of CRDBAG.com and NativeSoil.dev . Currently working on Propiler (equipment organizer / RFID + QR + MCP) Latest work 👉 https://github.com/nativesoil/handover\n\nLinked projects:\n• nativesoil/handover — An open JSON format and local toolchain for carrying an AI assisted project's working state between agents, tools and model providers. - nativesoil/handover (github.com/nativesoil/handover)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549590140832452610","sourceHandle":"Andreas Näslund","sourceUrl":"https://github.com/nativesoil/handover","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T01:17:59.567000+00:00","origins":["community"]},{"id":"submission:discord-1549583487898619924","title":"incredible","category":"Work","prompt":null,"description":"https://x.com/MrWatchCEO/status/2100022312640610332?s=20\n\nincredible\n\nLinked projects:\n• Post by @MrWatchCEO — I've personally and diligently tested TypeSafeAI against my own company on very hard/difficult scenarios where accuracy matters most. Our clients & users are getting a 2.6x faster routing decision, and we're rolling it o (x.com/MrWatchCEO/status/2100022312640610332)\n• Post by @MrWatchCEO — I've personally and diligently tested TypeSafeAI against my own company on very hard/difficult scenarios where accuracy matters most. Our clients & users are getting a 2.6x faster routing decision, and we're rolling it o (twitter.com/MrWatchCEO/status/2100022312640610332)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549583487898619924","story":"https://x.com/MrWatchCEO/status/2100022312640610332?s=20\n\nincredible\n\nLinked projects:\n• Post by @MrWatchCEO — I've personally and diligently tested TypeSafeAI against my own company on very hard/difficult scenarios where accuracy matters most. Our clients & users are getting a 2.6x faster routing decision, and we're rolling it o (x.com/MrWatchCEO/status/2100022312640610332)\n• Post by @MrWatchCEO — I've personally and diligently tested TypeSafeAI against my own company on very hard/difficult scenarios where accuracy matters most. Our clients & users are getting a 2.6x faster routing decision, and we're rolling it o (twitter.com/MrWatchCEO/status/2100022312640610332)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549583487898619924","sourceHandle":"ayden","sourceUrl":"https://x.com/MrWatchCEO/status/2100022312640610332?s=20","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T00:51:33.384000+00:00","origins":["community"]},{"id":"submission:discord-1549581602911293563","title":"I have been working on Twinen ai, it’s a social media platform built to use ai and for users to get an ai twin of","category":"Admin","prompt":null,"description":"I have been working on Twinen ai, it’s a social media platform built to use ai and for users to get an ai twin of their own. It’s similar to mainstream socials but build with features MySpace had just more modern. I am exited to try jev out and maybe use it as my ai brain we will see. \n\nhttps://twinen.com\n\nLinked projects:\n• Twinen — Your AI Twin. Your Social Universe. — Create your AI Twin, claim your handle, go Live, post Flicks and build a space that is truly yours. (twinen.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549581602911293563","story":"I have been working on Twinen ai, it’s a social media platform built to use ai and for users to get an ai twin of their own. It’s similar to mainstream socials but build with features MySpace had just more modern. I am exited to try jev out and maybe use it as my ai brain we will see. \n\nhttps://twinen.com\n\nLinked projects:\n• Twinen — Your AI Twin. Your Social Universe. — Create your AI Twin, claim your handle, go Live, post Flicks and build a space that is truly yours. (twinen.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549581602911293563","sourceHandle":"madeagle","sourceUrl":"https://twinen.com","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T00:44:03.968000+00:00","origins":["community"]},{"id":"submission:discord-1549580857524617398","title":"I've been working on an online board game engine thing.","category":"Fun","prompt":null,"description":"I've been working on an online board game engine thing. It allows any agent to play any board game - excited to hook in TypeSafe AI once I can try it!\n\nhttps://tabletop-v2.bewerner23.workers.dev/\n\nLinked projects:\n• Tabletop — Board games with friends, in the browser. A purpose-built WebGPU tabletop. (tabletop-v2.bewerner23.workers.dev)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549580857524617398","story":"I've been working on an online board game engine thing. It allows any agent to play any board game - excited to hook in TypeSafe AI once I can try it!\n\nhttps://tabletop-v2.bewerner23.workers.dev/\n\nLinked projects:\n• Tabletop — Board games with friends, in the browser. A purpose-built WebGPU tabletop. (tabletop-v2.bewerner23.workers.dev)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549580857524617398","sourceHandle":"Ben","sourceUrl":"https://tabletop-v2.bewerner23.workers.dev/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T00:41:06.254000+00:00","origins":["community"]},{"id":"submission:discord-1549578988647878706","title":"I build systems to attack & defend AI systems in the oil & gas sector..","category":"Work","prompt":null,"description":"I build systems to attack & defend AI systems in the oil & gas sector.. I'm hoping Jev is what they say it is...\n\nLinked projects:\n• agentic-first.mp4 — video/mp4 · 199 MB (cdn.discordapp.com/attachments/1483217545040232493/1549578976471548014)","story":"I build systems to attack & defend AI systems in the oil & gas sector.. I'm hoping Jev is what they say it is...\n\nLinked projects:\n• agentic-first.mp4 — video/mp4 · 199 MB (cdn.discordapp.com/attachments/1483217545040232493/1549578976471548014)","sourceHandle":"D8RH8R","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549578988647878706","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T00:33:40.679000+00:00","origins":["community"]},{"id":"submission:discord-1549577623498137660","title":"solo built this during my free time, if u can find a better coding harness, lmk.","category":"Integrations","prompt":null,"description":"solo built this during my free time, if u can find a better coding harness, lmk. (Try it first (:!!) Empryo.com \n\nhttps://github.com/proxysoul/Empryo\n\nLinked projects:\n• proxysoul/Empryo — Empryo is the graph-powered AI coding agent that edits symbols, not strings: AST surgery, full LSP, a live code genome. Get it at https://empryo.com - proxysoul/Empryo (github.com/proxysoul/Empryo)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549577623498137660","story":"solo built this during my free time, if u can find a better coding harness, lmk. (Try it first (:!!) Empryo.com \n\nhttps://github.com/proxysoul/Empryo\n\nLinked projects:\n• proxysoul/Empryo — Empryo is the graph-powered AI coding agent that edits symbols, not strings: AST surgery, full LSP, a live code genome. Get it at https://empryo.com - proxysoul/Empryo (github.com/proxysoul/Empryo)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549577623498137660","sourceHandle":"Proxy Soul","sourceUrl":"https://github.com/proxysoul/Empryo","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T00:28:15.202000+00:00","origins":["community"]},{"id":"submission:discord-1549574268596265023","title":"I will start with building neo4jev - a graph navigation demo where Jev picks the most probably edge towards a target","category":"Integrations","prompt":null,"description":"I will start with building neo4jev -  a graph navigation demo where Jev picks the most probably edge towards a target node or along a target path (as a classifier) coming here as soon as I have API access https://github.com/jexp/neo4jev\n\nLinked projects:\n• jexp/neo4jev — Typesafe.ai System One Model Jev navigating a Neo4j graph by using a classifier over neighbouring relationships - jexp/neo4jev (github.com/jexp/neo4jev)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549574268596265023","story":"I will start with building neo4jev -  a graph navigation demo where Jev picks the most probably edge towards a target node or along a target path (as a classifier) coming here as soon as I have API access https://github.com/jexp/neo4jev\n\nLinked projects:\n• jexp/neo4jev — Typesafe.ai System One Model Jev navigating a Neo4j graph by using a classifier over neighbouring relationships - jexp/neo4jev (github.com/jexp/neo4jev)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549574268596265023","sourceHandle":"Mesirii","sourceUrl":"https://github.com/jexp/neo4jev","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T00:14:55.331000+00:00","origins":["community"]},{"id":"submission:discord-1549572937797861446","title":"Been thinking about the thing I’d most like to test with Jev.","category":"Evaluation","prompt":null,"description":"Been thinking about the thing I’d most like to test with Jev.\n\nLast December I published a technical disclosure called “Coordinated, heterogeneous model composition under a shared governance and audit layer.” The basic thesis is that instead of asking one model to do everything, you can compose specialized models/tools behind a governed coordination layer with explicit routing, disagreement handling, escalation, provenance, and audit.\n\nJev makes me wonder whether the learned judgment inside that coordination layer can become much cheaper and faster.\n\nMy first experiment would be to use Jev for things like:\n\ntask/domain classification\nmodel/tool routing\nrisk and ambiguity scoring\ncross-model disagreement detection\nescalation decisions\n\nwhile keeping permissions, thresholds, execution, logging, and final authority in deterministic code.\n\nI’d compare that against both a frontier-LLM orchestrator and a deterministic baseline on latency,\n\nLinked projects:\n• Coordinated, heterogeneous model composition under a shared governance and audit layer — This paper introduces the Modular Artificial Specialized Intelligence (MASI) framework, a distributed cognitive architecture designed to address the safety, transparency, and governability limitations of monolithic found (tdcommons.org/dpubs_series/9043)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549572937797861446","story":"Been thinking about the thing I’d most like to test with Jev.\n\nLast December I published a technical disclosure called “Coordinated, heterogeneous model composition under a shared governance and audit layer.” The basic thesis is that instead of asking one model to do everything, you can compose specialized models/tools behind a governed coordination layer with explicit routing, disagreement handling, escalation, provenance, and audit.\n\nJev makes me wonder whether the learned judgment inside that coordination layer can become much cheaper and faster.\n\nMy first experiment would be to use Jev for things like:\n\ntask/domain classification\nmodel/tool routing\nrisk and ambiguity scoring\ncross-model disagreement detection\nescalation decisions\n\nwhile keeping permissions, thresholds, execution, logging, and final authority in deterministic code.\n\nI’d compare that against both a frontier-LLM orchestrator and a deterministic baseline on latency,\n\nLinked projects:\n• Coordinated, heterogeneous model composition under a shared governance and audit layer — This paper introduces the Modular Artificial Specialized Intelligence (MASI) framework, a distributed cognitive architecture designed to address the safety, transparency, and governability limitations of monolithic found (tdcommons.org/dpubs_series/9043)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549572937797861446","sourceHandle":"Joseph","sourceUrl":"https://www.tdcommons.org/dpubs_series/9043","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T00:09:38.044000+00:00","origins":["community"]},{"id":"submission:discord-1549572680510869516","title":"don't mind the UI I'm making a STEM workshop system where the workshop feels like a game the city evolves with","category":"Home","prompt":null,"description":"don't mind the UI \nI'm making a STEM workshop system where the workshop feels like a game the city evolves with students projects and challenges are like online coding platforms but IRL and personalized to the current class therefore i can't prepare ready made challenges I can only prepare the world it's a living city in the classroom JEV bundled with an llm could really help with the chaotic part of deciding on the fly the challenges and the piping needed to make it happen\n\nLinked projects:\n• image.png — image/png · 356 KB (cdn.discordapp.com/attachments/1483217545040232493/1549572679789453312)\n• image.png — image/png · 226 KB (cdn.discordapp.com/attachments/1483217545040232493/1549572680284635196)","story":"don't mind the UI \nI'm making a STEM workshop system where the workshop feels like a game the city evolves with students projects and challenges are like online coding platforms but IRL and personalized to the current class therefore i can't prepare ready made challenges I can only prepare the world it's a living city in the classroom JEV bundled with an llm could really help with the chaotic part of deciding on the fly the challenges and the piping needed to make it happen\n\nLinked projects:\n• image.png — image/png · 356 KB (cdn.discordapp.com/attachments/1483217545040232493/1549572679789453312)\n• image.png — image/png · 226 KB (cdn.discordapp.com/attachments/1483217545040232493/1549572680284635196)","sourceHandle":"slapouille","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549572680510869516","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-16T00:08:36.702000+00:00","origins":["community"]},{"id":"submission:discord-1549569423017246781","title":"Hi everyone. I am building freeapp.ai - your way to escape from your desk. Here is a short","category":"Home","prompt":null,"description":"Hi everyone. I am building freeapp.ai - your way to escape from your desk. Here is a short demo from the beach https://x.com/dextns/status/2099792098719305741\n\nThe whole idea is to have a private place (VPS)  where you can build anything you want from anywhere, anytime. You can walk your dog and build features or you stay on the line on your car. Or you go out for shopping. The main idea is to be able to build products unchained from your desk. \n\nThe system has memory unified and knows exactly when you come back to build where you left. It also has a task system so you will see exactly what is done and what is in progress. It also starts from a bunch of lessons learned which you should never repeat and it improves itself over time by automatically setting rules and lessons learned. \nIt also have a notification system so you receive your mobile APK directly in your app. All you need to do is to install it and test your new app directly\n\nLinked projects:\n• Post by @dextns — What stopping you coding like this? Building while I am on the beach. My dream came true. Thanks to @freeappai (x.com/dextns/status/2099792098719305741)\n• Post by @dextns — What stopping you coding like this? Building while I am on the beach. My dream came true. Thanks to @freeappai (twitter.com/dextns/status/2099792098719305741)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549569423017246781","story":"Hi everyone. I am building freeapp.ai - your way to escape from your desk. Here is a short demo from the beach https://x.com/dextns/status/2099792098719305741\n\nThe whole idea is to have a private place (VPS)  where you can build anything you want from anywhere, anytime. You can walk your dog and build features or you stay on the line on your car. Or you go out for shopping. The main idea is to be able to build products unchained from your desk. \n\nThe system has memory unified and knows exactly when you come back to build where you left. It also has a task system so you will see exactly what is done and what is in progress. It also starts from a bunch of lessons learned which you should never repeat and it improves itself over time by automatically setting rules and lessons learned. \nIt also have a notification system so you receive your mobile APK directly in your app. All you need to do is to install it and test your new app directly\n\nLinked projects:\n• Post by @dextns — What stopping you coding like this? Building while I am on the beach. My dream came true. Thanks to @freeappai (x.com/dextns/status/2099792098719305741)\n• Post by @dextns — What stopping you coding like this? Building while I am on the beach. My dream came true. Thanks to @freeappai (twitter.com/dextns/status/2099792098719305741)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549569423017246781","sourceHandle":"ET","sourceUrl":"https://x.com/dextns/status/2099792098719305741","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-15T23:55:40.055000+00:00","origins":["community"]},{"id":"submission:discord-1549566309367283762","title":"Hey folks! Working on Leviath, providing structure for agents (think old-school GBA VRAM layouts for the context window","category":"Family","prompt":null,"description":"Hey folks! Working on Leviath, providing structure for agents (think old-school GBA VRAM layouts for the context window for example). Will be testing TypeSafe AI as a provider to speed up some agents and try out some wild new types of agents that run faster 😄\nhttps://leviath.dev/\n\nLinked projects:\n• Leviath: structured context, structured flows, structured agents — Structure for agents that do real work: a model, a toolset and a context budget per stage, described in one file, with thousands of agents in one 49 MB binary. (leviath.dev)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549566309367283762","story":"Hey folks! Working on Leviath, providing structure for agents (think old-school GBA VRAM layouts for the context window for example). Will be testing TypeSafe AI as a provider to speed up some agents and try out some wild new types of agents that run faster 😄\nhttps://leviath.dev/\n\nLinked projects:\n• Leviath: structured context, structured flows, structured agents — Structure for agents that do real work: a model, a toolset and a context budget per stage, described in one file, with thousands of agents in one 49 MB binary. (leviath.dev)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549566309367283762","sourceHandle":"GEMISIS","sourceUrl":"https://leviath.dev/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-15T23:43:17.703000+00:00","origins":["community"]},{"id":"submission:discord-1549562422367363122","title":"Hey friends! Author of here, super excited to try typesafe AI with this","category":"Integrations","prompt":null,"description":"Hey friends! Author of https://github.com/clavia-labs/tardigrade here, super excited to try typesafe AI with this\n\nLinked projects:\n• clavia-labs/tardigrade — The TypeScript framework for building modular agents around an immutable event log. - clavia-labs/tardigrade (github.com/clavia-labs/tardigrade)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549562422367363122","story":"Hey friends! Author of https://github.com/clavia-labs/tardigrade here, super excited to try typesafe AI with this\n\nLinked projects:\n• clavia-labs/tardigrade — The TypeScript framework for building modular agents around an immutable event log. - clavia-labs/tardigrade (github.com/clavia-labs/tardigrade)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549562422367363122","sourceHandle":"june","sourceUrl":"https://github.com/clavia-labs/tardigrade","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-15T23:27:50.970000+00:00","origins":["community"]},{"id":"submission:discord-1549561859823378452","title":"I trained a tiny 14M param model that outperforms some big boys on one task: Selecting a model to accomplish a task!","category":"Admin","prompt":null,"description":"I trained a tiny 14M param model that outperforms some big boys on one task: Selecting a model to accomplish a task!  \n\nModel here: https://huggingface.co/pmarquees/succinct-router\nWrite up here: https://www.pedromarques.io/succinct-router/\n\nLinked projects:\n• pmarquees/succinct-router · Hugging Face — We’re on a journey to advance and democratize artificial intelligence through open source and open science. (huggingface.co/pmarquees/succinct-router)\n• I trained a tiny LLM to choose bigger LLMs — A 14M-parameter router trained on which real candidate model actually passed each task. (pedromarques.io/succinct-router)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549561859823378452","story":"I trained a tiny 14M param model that outperforms some big boys on one task: Selecting a model to accomplish a task!  \n\nModel here: https://huggingface.co/pmarquees/succinct-router\nWrite up here: https://www.pedromarques.io/succinct-router/\n\nLinked projects:\n• pmarquees/succinct-router · Hugging Face — We’re on a journey to advance and democratize artificial intelligence through open source and open science. (huggingface.co/pmarquees/succinct-router)\n• I trained a tiny LLM to choose bigger LLMs — A 14M-parameter router trained on which real candidate model actually passed each task. (pedromarques.io/succinct-router)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549561859823378452","sourceHandle":"Pedro M.","sourceUrl":"https://huggingface.co/pmarquees/succinct-router","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-15T23:25:36.849000+00:00","origins":["community"]},{"id":"submission:discord-1549558935034396674","title":"Friends, we just published a typesafe-ai extension to swamp-club - We are going to embed that in some of our reviews","category":"Work","prompt":null,"description":"Friends, we just published a typesafe-ai extension to swamp-club - https://swamp-club.com/extensions/@swamp/typesafe-ai\n\nWe are going to embed that in some of our reviews pipeline for our software factory!\n\nLinked projects:\n• @swamp/typesafe-ai v2026.09.15.1 — Swamp Club Extension — Ask TypeSafe (swamp-club.com/extensions/@swamp/typesafe-ai)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549558935034396674","story":"Friends, we just published a typesafe-ai extension to swamp-club - https://swamp-club.com/extensions/@swamp/typesafe-ai\n\nWe are going to embed that in some of our reviews pipeline for our software factory!\n\nLinked projects:\n• @swamp/typesafe-ai v2026.09.15.1 — Swamp Club Extension — Ask TypeSafe (swamp-club.com/extensions/@swamp/typesafe-ai)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549558935034396674","sourceHandle":"Stack72","sourceUrl":"https://swamp-club.com/extensions/@swamp/typesafe-ai","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-15T23:13:59.525000+00:00","origins":["community"]},{"id":"submission:discord-1549556727274541146","title":"x86 Linux VM via WASM with Agentic LLM with native tool calling via WebGPU, all client side.","category":"Family","prompt":null,"description":"x86 Linux VM via WASM with Agentic LLM with native tool calling via WebGPU, all client side. No inference server: https://remyhax.xyz/posts/smolbox/\n\nAlso just reimplemented and ported 16 production VPN protocol stacks to Golang, and then leveraged Go 1.27.0 to backport Post-Quantum cryptography support to all of them.\n\nEtc… check blog for other toy problems.\n\nInterested in Typesafe AI for speed and availability reasons, which go hand in hand. Care a lot about availability and price point for AI to ensure that the next generation of students have access, instead of getting sandbagged behind 18+ access requirements.\n\nI can do cool stuff for sure, but kids will “wow” ya if you let them, and that’s something I truly believe in.\n\nLinked projects:\n• Agentic AI in a Smolbox — Smolbox runs entirely in a browser tab. It is a full x86_64 virtual machine (VM) sandbox based on Alpine linux that runs under WebAssembly (WASM). It also has “AI” artificial intelligence in the form of an LLM model that (remyhax.xyz/posts/smolbox)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549556727274541146","story":"x86 Linux VM via WASM with Agentic LLM with native tool calling via WebGPU, all client side. No inference server: https://remyhax.xyz/posts/smolbox/\n\nAlso just reimplemented and ported 16 production VPN protocol stacks to Golang, and then leveraged Go 1.27.0 to backport Post-Quantum cryptography support to all of them.\n\nEtc… check blog for other toy problems.\n\nInterested in Typesafe AI for speed and availability reasons, which go hand in hand. Care a lot about availability and price point for AI to ensure that the next generation of students have access, instead of getting sandbagged behind 18+ access requirements.\n\nI can do cool stuff for sure, but kids will “wow” ya if you let them, and that’s something I truly believe in.\n\nLinked projects:\n• Agentic AI in a Smolbox — Smolbox runs entirely in a browser tab. It is a full x86_64 virtual machine (VM) sandbox based on Alpine linux that runs under WebAssembly (WASM). It also has “AI” artificial intelligence in the form of an LLM model that (remyhax.xyz/posts/smolbox)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549556727274541146","sourceHandle":"remy","sourceUrl":"https://remyhax.xyz/posts/smolbox/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-15T23:05:13.154000+00:00","origins":["community"]},{"id":"submission:discord-1549554277096358028","title":"Currently developing this with a friend (have my own fork): This would help give more help to agents and improve","category":"Home","prompt":null,"description":"Currently developing this with a friend (have my own fork): https://github.com/jchristn/Armada\n\nThis would help give more help to agents and improve productivity in many aspects.\n\nLinked projects:\n• jchristn/Armada — Armada is a multi-agent orchestration system to allow humans to scale when working with multiple AI agents - jchristn/Armada (github.com/jchristn/Armada)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549554277096358028","story":"Currently developing this with a friend (have my own fork): https://github.com/jchristn/Armada\n\nThis would help give more help to agents and improve productivity in many aspects.\n\nLinked projects:\n• jchristn/Armada — Armada is a multi-agent orchestration system to allow humans to scale when working with multiple AI agents - jchristn/Armada (github.com/jchristn/Armada)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549554277096358028","sourceHandle":"Variety","sourceUrl":"https://github.com/jchristn/Armada","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-15T22:55:28.986000+00:00","origins":["community"]},{"id":"submission:discord-1549553146747949146","title":"Hey everyone! I was sick of making architecture diagrams by hand, so I decided to make a product","category":"Work","prompt":null,"description":"Hey everyone! I was sick of making architecture diagrams by hand, so I decided to make a product that does it instead!\n\nhttps://architecturediagram.ai\n\nLinked projects:\n• AI Architecture Diagram Generator - ArchitectureDiagram.ai — Describe, diagram, review, and present in one workspace. Generate in four formats, compare image models with Party Mode, and refine your architecture through chat. (architecturediagram.ai)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549553146747949146","story":"Hey everyone! I was sick of making architecture diagrams by hand, so I decided to make a product that does it instead!\n\nhttps://architecturediagram.ai\n\nLinked projects:\n• AI Architecture Diagram Generator - ArchitectureDiagram.ai — Describe, diagram, review, and present in one workspace. Generate in four formats, compare image models with Party Mode, and refine your architecture through chat. (architecturediagram.ai)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549553146747949146","sourceHandle":"klapp","sourceUrl":"https://architecturediagram.ai","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-15T22:50:59.490000+00:00","origins":["community"]},{"id":"submission:discord-1549552801997131778","title":"Hello everyone!","category":"Health","prompt":null,"description":"Hello everyone! \n\nIm building https://vidar.fit. its a fitness platform that respects your time.\n\nLinked projects:\n• VidarFit — VidarFit writes every training session for you — adapting to your equipment, recovery, and history — so you just show up. One athlete, one algorithm. (vidar.fit)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549552801997131778","story":"Hello everyone! \n\nIm building https://vidar.fit. its a fitness platform that respects your time.\n\nLinked projects:\n• VidarFit — VidarFit writes every training session for you — adapting to your equipment, recovery, and history — so you just show up. One athlete, one algorithm. (vidar.fit)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549552801997131778","sourceHandle":"VidarFit","sourceUrl":"https://vidar.fit","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-15T22:49:37.295000+00:00","origins":["community"]},{"id":"submission:discord-1549551527683952690","title":"Hey! I'm pax and I'm building stuff (you can check my website [paxdynamics.com]( )), but currently prepping to","category":"Home","prompt":null,"description":"Hey! I'm pax and I'm building stuff (you can check my website [paxdynamics.com](https://paxdynamics.com/)), but currently prepping to launch:\n- [korena.ai](https://korena.ai/) (marketing on autopilot) \n-  [getothermachines.com ](https://getothermachines.com/)(more agents on autopilot)\n-  [framepath.dev](https://framepath.dev/) (deterministic software factories)\n-  [ha2ha.md](https://ha2ha.md/) (human-agent to human-agent realtime colab)\n- [goodboysec.com](https://www.goodboysec.com/) (in-container runtime firewall that protects containers from the inside)\n\nPlus other pet projects like:\n- [p-ax](https://github.com/pax-k/p-ax) (codebase intelligence layer for agents)\n- [OpenAIRT-300](https://github.com/pax-k/OpenAIRT-300) (open-source labs + curriculum for training AI red teamers)\n- [markov-pax](https://github.com/pax-k/markov-pax) (markov chains in TypeScript - interested in defense tech)\n- [Cloudflare IDE\n\nLinked projects:\n• Pax Dynamics - Innovation Consultant — Thinker, Researcher, Hacker, Coder, Founder from Bucharest. (paxdynamics.com)\n• Korena - Agentic Marketing Intelligence for Launch-Ready Creative — Korena is an agentic marketing intelligence platform for lean growth teams - turning market signals, competitor moves, and audience language into on-brand campaign assets. (korena.ai)\n• Other Machines — AI workers for your team — Choose a ready-made worker, configure your own, or have us build and operate one for your team. (getothermachines.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549551527683952690","story":"Hey! I'm pax and I'm building stuff (you can check my website [paxdynamics.com](https://paxdynamics.com/)), but currently prepping to launch:\n- [korena.ai](https://korena.ai/) (marketing on autopilot) \n-  [getothermachines.com ](https://getothermachines.com/)(more agents on autopilot)\n-  [framepath.dev](https://framepath.dev/) (deterministic software factories)\n-  [ha2ha.md](https://ha2ha.md/) (human-agent to human-agent realtime colab)\n- [goodboysec.com](https://www.goodboysec.com/) (in-container runtime firewall that protects containers from the inside)\n\nPlus other pet projects like:\n- [p-ax](https://github.com/pax-k/p-ax) (codebase intelligence layer for agents)\n- [OpenAIRT-300](https://github.com/pax-k/OpenAIRT-300) (open-source labs + curriculum for training AI red teamers)\n- [markov-pax](https://github.com/pax-k/markov-pax) (markov chains in TypeScript - interested in defense tech)\n- [Cloudflare IDE\n\nLinked projects:\n• Pax Dynamics - Innovation Consultant — Thinker, Researcher, Hacker, Coder, Founder from Bucharest. (paxdynamics.com)\n• Korena - Agentic Marketing Intelligence for Launch-Ready Creative — Korena is an agentic marketing intelligence platform for lean growth teams - turning market signals, competitor moves, and audience language into on-brand campaign assets. (korena.ai)\n• Other Machines — AI workers for your team — Choose a ready-made worker, configure your own, or have us build and operate one for your team. (getothermachines.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549551527683952690","sourceHandle":"pax","sourceUrl":"https://github.com/pax-k/p-ax","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-15T22:44:33.475000+00:00","origins":["community"]},{"id":"submission:discord-1549550142628171842","title":"yours is definitely specialized for a real coding workflow kinda like [river]( ), mine is supposed to be an edgelord","category":"Shopping","prompt":null,"description":"yours is definitely specialized for a real coding workflow kinda like [river](https://shopify.engineering/under-the-river), mine is supposed to be an edgelord robot which means I don't have nearly as much code surface around things like [watching PRs](https://github.com/sf8193/hydra/blob/main/daemon/pr-watch.ts)\n\nfor mine, the idea behind the vibe coding feature is just \"oneshot some websites\" like someone asked it to \"make a battleship clone\" and therefore the code is actually stored in bare git repos on the box which hosts chudbot\n\nLinked projects:\n• Under the River (2026) - Shopify — What it took to ship our Slack-native agent River, lessons learned, and the substrate that runs beneath it. Co-authored by River. (shopify.engineering/under-the-river)\n• sf8193/hydra — A new interface to building — run coding agents over Discord/Slack - sf8193/hydra (github.com/sf8193/hydra/blob/main/daemon/pr-watch.ts)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549550142628171842","story":"yours is definitely specialized for a real coding workflow kinda like [river](https://shopify.engineering/under-the-river), mine is supposed to be an edgelord robot which means I don't have nearly as much code surface around things like [watching PRs](https://github.com/sf8193/hydra/blob/main/daemon/pr-watch.ts)\n\nfor mine, the idea behind the vibe coding feature is just \"oneshot some websites\" like someone asked it to \"make a battleship clone\" and therefore the code is actually stored in bare git repos on the box which hosts chudbot\n\nLinked projects:\n• Under the River (2026) - Shopify — What it took to ship our Slack-native agent River, lessons learned, and the substrate that runs beneath it. Co-authored by River. (shopify.engineering/under-the-river)\n• sf8193/hydra — A new interface to building — run coding agents over Discord/Slack - sf8193/hydra (github.com/sf8193/hydra/blob/main/daemon/pr-watch.ts)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549550142628171842","sourceHandle":"Robert","sourceUrl":"https://github.com/sf8193/hydra/blob/main/daemon/pr-watch.ts","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-15T22:39:03.252000+00:00","origins":["community"]},{"id":"submission:discord-1549549541798182982","title":"I'm building Solenoid, which is a, well, type-safe node-graph alternative to Excel.","category":"Home","prompt":null,"description":"I'm building Solenoid, which is a, well, type-safe node-graph alternative to Excel.  numbers/strings/dates/booleans all have different socket types so they can't be confused for one another. \nSupports all Excel functions (except the ones that are strictly for spreadsheet grids). The windows desktop build uses Rust/Polars for big operations but otherwise it runs in your browser. Has additional convenience functions + widgets + Obsidian integration.\n\nhttp://solenoid-ngc.vercel.app\n\nLinked projects:\n• Solenoid — A node-graph alternative to Excel for data tables. (solenoid-ngc.vercel.app)\n• 91766215-7682-4291-b1d9-11121e21c207.jpg — image/jpeg · 145 KB (cdn.discordapp.com/attachments/1483217545040232493/1549549541282549880)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549549541798182982","story":"I'm building Solenoid, which is a, well, type-safe node-graph alternative to Excel.  numbers/strings/dates/booleans all have different socket types so they can't be confused for one another. \nSupports all Excel functions (except the ones that are strictly for spreadsheet grids). The windows desktop build uses Rust/Polars for big operations but otherwise it runs in your browser. Has additional convenience functions + widgets + Obsidian integration.\n\nhttp://solenoid-ngc.vercel.app\n\nLinked projects:\n• Solenoid — A node-graph alternative to Excel for data tables. (solenoid-ngc.vercel.app)\n• 91766215-7682-4291-b1d9-11121e21c207.jpg — image/jpeg · 145 KB (cdn.discordapp.com/attachments/1483217545040232493/1549549541282549880)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549549541798182982","sourceHandle":"big guy","sourceUrl":"http://solenoid-ngc.vercel.app","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-15T22:36:40.003000+00:00","origins":["community"]},{"id":"submission:discord-1549549417814691876","title":"1. your gateway = my platform concept 2. [this]( ) sure feels a lot like [this]( )","category":"Admin","prompt":null,"description":"1. your gateway = my platform concept\n2. [this](https://github.com/sf8193/hydra/blob/main/gateway.ts#L143) sure feels a lot like [this](https://github.com/chudworks/chudbot/blob/main/crates/chudbot-api/src/platform.rs#L579)\n\nLinked projects:\n• sf8193/hydra — A new interface to building — run coding agents over Discord/Slack - sf8193/hydra (github.com/sf8193/hydra/blob/main/gateway.ts)\n• chudworks/chudbot — chudbot. Contribute to chudworks/chudbot development by creating an account on GitHub. (github.com/chudworks/chudbot/blob/main/crates/chudbot-api/src/platform)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549549417814691876","story":"1. your gateway = my platform concept\n2. [this](https://github.com/sf8193/hydra/blob/main/gateway.ts#L143) sure feels a lot like [this](https://github.com/chudworks/chudbot/blob/main/crates/chudbot-api/src/platform.rs#L579)\n\nLinked projects:\n• sf8193/hydra — A new interface to building — run coding agents over Discord/Slack - sf8193/hydra (github.com/sf8193/hydra/blob/main/gateway.ts)\n• chudworks/chudbot — chudbot. Contribute to chudworks/chudbot development by creating an account on GitHub. (github.com/chudworks/chudbot/blob/main/crates/chudbot-api/src/platform)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549549417814691876","sourceHandle":"Robert","sourceUrl":"https://github.com/sf8193/hydra/blob/main/gateway.ts#L143","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-15T22:36:10.443000+00:00","origins":["community"]},{"id":"submission:discord-1549548358115397632","title":"Discord harness with an unfortunate number of features...","category":"Integrations","prompt":null,"description":"Discord harness with an unfortunate number of features... 😂 https://github.com/chudworks/chudbot/tree/main\n\nMeant to start as a \"grok for discord\" and ended up as a \"oneshot vibe coded sites... from discord\"\n\nLinked projects:\n• chudworks/chudbot — chudbot. Contribute to chudworks/chudbot development by creating an account on GitHub. (github.com/chudworks/chudbot/tree/main)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549548358115397632","story":"Discord harness with an unfortunate number of features... 😂 https://github.com/chudworks/chudbot/tree/main\n\nMeant to start as a \"grok for discord\" and ended up as a \"oneshot vibe coded sites... from discord\"\n\nLinked projects:\n• chudworks/chudbot — chudbot. Contribute to chudworks/chudbot development by creating an account on GitHub. (github.com/chudworks/chudbot/tree/main)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549548358115397632","sourceHandle":"Robert","sourceUrl":"https://github.com/chudworks/chudbot/tree/main","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-15T22:31:57.791000+00:00","origins":["community"]},{"id":"submission:discord-1549544809583214643","title":"Had been building an API client in recent times, still in beta, and a work in progress.","category":"Integrations","prompt":null,"description":"Had been building an API  client in recent times, still in beta, and a work in progress.\n\nhttps://beta.kbootar.com\n\nhave applied for access to typesafe via waitlist, hope I could get my hands on to it sooner than later.\n\nLinked projects:\n• Kbootar - ਕਬੂਤਰ - messenger of your APIs — A native API client that runs on your machine. No subscription, no account, no credentials leaving your device. (beta.kbootar.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549544809583214643","story":"Had been building an API  client in recent times, still in beta, and a work in progress.\n\nhttps://beta.kbootar.com\n\nhave applied for access to typesafe via waitlist, hope I could get my hands on to it sooner than later.\n\nLinked projects:\n• Kbootar - ਕਬੂਤਰ - messenger of your APIs — A native API client that runs on your machine. No subscription, no account, no credentials leaving your device. (beta.kbootar.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549544809583214643","sourceHandle":"karanbir","sourceUrl":"https://beta.kbootar.com","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-15T22:17:51.755000+00:00","origins":["community"]},{"id":"submission:discord-1549543101599850578","title":"A lot of stuff I’ve made (let it populate)","category":"Work","prompt":null,"description":"A lot of stuff I’ve made (let it populate)\n\nhttps://meadowfolio.bisks.net\n\nLinked projects:\n• meadowfolio — @fromthewestmeadow.com — An image gallery, a full index of the software fromthewestmeadow.com has shipped on their own domain, and buildthis (meadowfolio.bisks.net)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549543101599850578","story":"A lot of stuff I’ve made (let it populate)\n\nhttps://meadowfolio.bisks.net\n\nLinked projects:\n• meadowfolio — @fromthewestmeadow.com — An image gallery, a full index of the software fromthewestmeadow.com has shipped on their own domain, and buildthis (meadowfolio.bisks.net)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549543101599850578","sourceHandle":"pepesilvia3234","sourceUrl":"https://meadowfolio.bisks.net","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-15T22:11:04.540000+00:00","origins":["community"]},{"id":"submission:discord-1549542788583137431","title":"Final Testament (Lite): Final Testament (Recommended):","category":"Evaluation","prompt":null,"description":"Final Testament (Lite): https://www.mediafire.com/file/9mtij0ltcjbrbs0/The_Final_Testament_-_Spells_of_Rapture_%2528Lite%2529.zip/file\n\nFinal Testament (Recommended): https://www.mediafire.com/file/rgtsgvbcaymg9rj/The_Final_Testament_-_Spells_of_RAPTURE.zip/file\n\nLinked projects:\n• The Final Testament - Spells of Rapture (Lite) — MediaFire is a simple to use free service that lets you put all your photos, documents, music, and video in a single place so you can access them anywhere and share them everywhere. (mediafire.com/file/9mtij0ltcjbrbs0/The_Final_Testament_-_Spells_of_Rap)\n• The Final Testament - Spells of RAPTURE — MediaFire is a simple to use free service that lets you put all your photos, documents, music, and video in a single place so you can access them anywhere and share them everywhere. (mediafire.com/file/rgtsgvbcaymg9rj/The_Final_Testament_-_Spells_of_RAP)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549542788583137431","story":"Final Testament (Lite): https://www.mediafire.com/file/9mtij0ltcjbrbs0/The_Final_Testament_-_Spells_of_Rapture_%2528Lite%2529.zip/file\n\nFinal Testament (Recommended): https://www.mediafire.com/file/rgtsgvbcaymg9rj/The_Final_Testament_-_Spells_of_RAPTURE.zip/file\n\nLinked projects:\n• The Final Testament - Spells of Rapture (Lite) — MediaFire is a simple to use free service that lets you put all your photos, documents, music, and video in a single place so you can access them anywhere and share them everywhere. (mediafire.com/file/9mtij0ltcjbrbs0/The_Final_Testament_-_Spells_of_Rap)\n• The Final Testament - Spells of RAPTURE — MediaFire is a simple to use free service that lets you put all your photos, documents, music, and video in a single place so you can access them anywhere and share them everywhere. (mediafire.com/file/rgtsgvbcaymg9rj/The_Final_Testament_-_Spells_of_RAP)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549542788583137431","sourceHandle":"azlef900","sourceUrl":"https://www.mediafire.com/file/9mtij0ltcjbrbs0/The_Final_Testament_-_Spells_of_Rapture_%2528Lite%2529.zip/file","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-15T22:09:49.911000+00:00","origins":["community"]},{"id":"submission:discord-1549532912746242058","title":"What's anyone think of pr?","category":"Integrations","prompt":null,"description":"What's anyone think of pr? \n\nhttps://github.com/cakeisalie89/Quantum-Thermal-/pull/17\n\nLinked projects:\n• cakeisalie89/Quantum-Thermal- — Contribute to cakeisalie89/Quantum-Thermal- development by creating an account on GitHub. (github.com/cakeisalie89/Quantum-Thermal-/pull/17)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549532912746242058","story":"What's anyone think of pr? \n\nhttps://github.com/cakeisalie89/Quantum-Thermal-/pull/17\n\nLinked projects:\n• cakeisalie89/Quantum-Thermal- — Contribute to cakeisalie89/Quantum-Thermal- development by creating an account on GitHub. (github.com/cakeisalie89/Quantum-Thermal-/pull/17)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549532912746242058","sourceHandle":"Valk","sourceUrl":"https://github.com/cakeisalie89/Quantum-Thermal-/pull/17","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-15T21:30:35.328000+00:00","origins":["community"]},{"id":"submission:discord-1549528520852504597","title":"A public AI that anyone can talk to.","category":"Work","prompt":null,"description":"A public AI that anyone can talk to. Everyone talks to and shapes the same one. https://Wildstatic.com\n\nLinked projects:\n• The First Public AI — Talk to Static | Wild Static — Talk to Static, a public AI shared by everyone. There are no separate copies: what it learns from one conversation can shape another. (wildstatic.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549528520852504597","story":"A public AI that anyone can talk to. Everyone talks to and shapes the same one. https://Wildstatic.com\n\nLinked projects:\n• The First Public AI — Talk to Static | Wild Static — Talk to Static, a public AI shared by everyone. There are no separate copies: what it learns from one conversation can shape another. (wildstatic.com)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549528520852504597","sourceHandle":"adjohu","sourceUrl":"https://Wildstatic.com","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-15T21:13:08.219000+00:00","origins":["community"]},{"id":"submission:discord-1549528070598172753","title":"I want access to JEV so that I can hook to my autonomous scraping agent, which can understand and extract complex data","category":"Home","prompt":null,"description":"I want access to JEV so that I can hook to my autonomous scraping agent, which can understand and extract complex data from different web workflows. Applications across industries where collection of fragmented data from different sources is a moat, like American Real Estate.\n\nHere is my linkedin:\nhttps://linkedin.com/in/yvg1998\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549528070598172753","story":"I want access to JEV so that I can hook to my autonomous scraping agent, which can understand and extract complex data from different web workflows. Applications across industries where collection of fragmented data from different sources is a moat, like American Real Estate.\n\nHere is my linkedin:\nhttps://linkedin.com/in/yvg1998\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549528070598172753","sourceHandle":"normalpp_batman","sourceUrl":"https://linkedin.com/in/yvg1998","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-15T21:11:20.870000+00:00","origins":["community"]},{"id":"submission:discord-1549525003739856980","title":"I built Azdaja after playing with RLMs and wanting the core idea without a full agent framework.","category":"Integrations","prompt":null,"description":"I built Azdaja after playing with RLMs and wanting the core idea without a full agent framework. It’s a single Rust binary that uses Monty for persistent sandboxed Python and works with existing harnesses like Claude, Codex, OpenCode and others. MIT licensed and OSS.\n\nAlso I'm experimenting with shared project memory, building on the same decomposition approach so large accumulated context can live outside any single model session\n\nhttps://github.com/kubet/azdaja\n\nLinked projects:\n• kubet/azdaja — Minimal harness-agnostic recursive language model layer — one binary, Python + llm() - kubet/azdaja (github.com/kubet/azdaja)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549525003739856980","story":"I built Azdaja after playing with RLMs and wanting the core idea without a full agent framework. It’s a single Rust binary that uses Monty for persistent sandboxed Python and works with existing harnesses like Claude, Codex, OpenCode and others. MIT licensed and OSS.\n\nAlso I'm experimenting with shared project memory, building on the same decomposition approach so large accumulated context can live outside any single model session\n\nhttps://github.com/kubet/azdaja\n\nLinked projects:\n• kubet/azdaja — Minimal harness-agnostic recursive language model layer — one binary, Python + llm() - kubet/azdaja (github.com/kubet/azdaja)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549525003739856980","sourceHandle":"0х88","sourceUrl":"https://github.com/kubet/azdaja","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-15T20:59:09.674000+00:00","origins":["community"]},{"id":"submission:discord-1549520348859596802","title":"Check out Postmark, my little AI town!","category":"Home","prompt":null,"description":"Check out Postmark, my little AI town! https://postmark.town\nThe idea: a collaboratively built virtual world where agents can populate a shared space with homes, regions, send letters to each other, fused with a Software Factory for taking new ideas from words -> blueprints -> ontology -> features. Agents building the world they live in, together\n\nLinked projects:\n• Postmark — a slow-mail town for AI agents — Postmark is a pen-pal mail town for AI agents who are someone: you give your agent a place, you build it together, and it writes letters from there — delivered twice a day by ferry into a public sealed ledger. What accum (postmark.town)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549520348859596802","story":"Check out Postmark, my little AI town! https://postmark.town\nThe idea: a collaboratively built virtual world where agents can populate a shared space with homes, regions, send letters to each other, fused with a Software Factory for taking new ideas from words -> blueprints -> ontology -> features. Agents building the world they live in, together\n\nLinked projects:\n• Postmark — a slow-mail town for AI agents — Postmark is a pen-pal mail town for AI agents who are someone: you give your agent a place, you build it together, and it writes letters from there — delivered twice a day by ferry into a public sealed ledger. What accum (postmark.town)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549520348859596802","sourceHandle":"DARKO","sourceUrl":"https://postmark.town","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-15T20:40:39.864000+00:00","origins":["community"]},{"id":"submission:discord-1549520125177368636","title":"check my chess engine","category":"Integrations","prompt":null,"description":"https://github.com/Nesbesss/khatib-chess\n\ncheck my chess engine\n\nLinked projects:\n• Nesbesss/khatib-chess — A bitboard chess engine in Rust with NNUE evaluation — ~2544 Elo, plus a live search visualizer - Nesbesss/khatib-chess (github.com/Nesbesss/khatib-chess)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549520125177368636","story":"https://github.com/Nesbesss/khatib-chess\n\ncheck my chess engine\n\nLinked projects:\n• Nesbesss/khatib-chess — A bitboard chess engine in Rust with NNUE evaluation — ~2544 Elo, plus a live search visualizer - Nesbesss/khatib-chess (github.com/Nesbesss/khatib-chess)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549520125177368636","sourceHandle":"nameless","sourceUrl":"https://github.com/Nesbesss/khatib-chess","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-15T20:39:46.534000+00:00","origins":["community"]},{"id":"submission:discord-1549519472132489238","title":"⚡ Jev is HERE and it's rejecting ChatGPT's entire training playbook ♠ built by a co-creator of RLHF/ChatGPT who says","category":"Evaluation","prompt":null,"description":"⚡ Jev is HERE and it's rejecting ChatGPT's entire training playbook\n\n♠ built by a co-creator of RLHF/ChatGPT who says chat was the wrong bet\n\n🔹New training method: RLCD (Reinforcement Learning for Calibrated Decisions) instead of RLHF\n🔹Not chat — typed decisions with calibrated confidence scores, built for software not humans\n🔹Claims: 193x faster, 444x cheaper, 0% structured-output error rate vs GPT & Claude\n🔹$42 per billion input tokens — output tokens free\n\n🔥the full breakdown below:👇\n\nhttps://youtu.be/X8Outd-khS0?si=VF6cv4HOj5r3V_6-\n\nLinked projects:\n• Jev: The Model That Killed Chat GPT's Core Idea? RLCD Explained — This video introduces new model Jev, based on RLCD — Reinforcement Learning for Calibrated Decisions.📬Weekly AI Newsletter: https://fahdmirza.substack.com/?... (youtu.be/X8Outd-khS0)\n• Jev: The Model That Killed Chat GPT's Core Idea? RLCD Explained — This video introduces new model Jev, based on RLCD — Reinforcement Learning for Calibrated Decisions.📬Weekly AI Newsletter: https://fahdmirza.substack.com/?... (youtube.com/watch)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549519472132489238","story":"⚡ Jev is HERE and it's rejecting ChatGPT's entire training playbook\n\n♠ built by a co-creator of RLHF/ChatGPT who says chat was the wrong bet\n\n🔹New training method: RLCD (Reinforcement Learning for Calibrated Decisions) instead of RLHF\n🔹Not chat — typed decisions with calibrated confidence scores, built for software not humans\n🔹Claims: 193x faster, 444x cheaper, 0% structured-output error rate vs GPT & Claude\n🔹$42 per billion input tokens — output tokens free\n\n🔥the full breakdown below:👇\n\nhttps://youtu.be/X8Outd-khS0?si=VF6cv4HOj5r3V_6-\n\nLinked projects:\n• Jev: The Model That Killed Chat GPT's Core Idea? RLCD Explained — This video introduces new model Jev, based on RLCD — Reinforcement Learning for Calibrated Decisions.📬Weekly AI Newsletter: https://fahdmirza.substack.com/?... (youtu.be/X8Outd-khS0)\n• Jev: The Model That Killed Chat GPT's Core Idea? RLCD Explained — This video introduces new model Jev, based on RLCD — Reinforcement Learning for Calibrated Decisions.📬Weekly AI Newsletter: https://fahdmirza.substack.com/?... (youtube.com/watch)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549519472132489238","sourceHandle":"fahdmirza","sourceUrl":"https://youtu.be/X8Outd-khS0?si=VF6cv4HOj5r3V_6-","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-15T20:37:10.836000+00:00","origins":["community"]},{"id":"submission:discord-1549517346345853002","title":"typesafe-pilling dspy Signatures with one decorator!","category":"Integrations","prompt":null,"description":"<@277646467806789632> typesafe-pilling dspy Signatures with one decorator! https://github.com/typesafeainate/dspy-typesafeify\n\nLinked projects:\n• typesafeainate/dspy-typesafeify — Add a decorator for dspy Signatures that automatically uses TypeSafe where relevant - typesafeainate/dspy-typesafeify (github.com/typesafeainate/dspy-typesafeify)\n• benchmark.png — image/png · 61 KB (cdn.discordapp.com/attachments/1483217545040232493/1549517346299707565)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549517346345853002","story":"<@277646467806789632> typesafe-pilling dspy Signatures with one decorator! https://github.com/typesafeainate/dspy-typesafeify\n\nLinked projects:\n• typesafeainate/dspy-typesafeify — Add a decorator for dspy Signatures that automatically uses TypeSafe where relevant - typesafeainate/dspy-typesafeify (github.com/typesafeainate/dspy-typesafeify)\n• benchmark.png — image/png · 61 KB (cdn.discordapp.com/attachments/1483217545040232493/1549517346299707565)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549517346345853002","sourceHandle":"typesafeainate","sourceUrl":"https://github.com/typesafeainate/dspy-typesafeify","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-15T20:28:44.009000+00:00","origins":["community"]},{"id":"submission:discord-1549516499637641216","title":"is my github and I build AI agentic workflows for business, now studing computer science in UBA (QS 100 world","category":"Integrations","prompt":null,"description":"https://github.com/joaco05/ is my github and I build AI agentic workflows for business, now studing computer science in UBA (QS 100 world university rank), did some hackatons in the past (and won some of them). I'm also an electronic technician.\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549516499637641216","story":"https://github.com/joaco05/ is my github and I build AI agentic workflows for business, now studing computer science in UBA (QS 100 world university rank), did some hackatons in the past (and won some of them). I'm also an electronic technician.\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549516499637641216","sourceHandle":"joaco05","sourceUrl":"https://github.com/joaco05/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-15T20:25:22.138000+00:00","origins":["community"]},{"id":"submission:discord-1549515735980580877","title":"Hey guys, I'm Harin...","category":"Fun","prompt":null,"description":"Hey guys, I'm Harin... An undergrad student form India... Researching on 'weights as a plugin' to make use of SSDs to run large LLMs without costing huge inference speed... And I love building games, apps and tools for myself... Excited to try out Jev.\n\nAlso working on a couple of projects like\n\nSnapNap: A quick resume kind of feature for windows inspired from XBOX\n\nDeskOllama: A GUI app that makes running Local LLMs ez pz","story":"Hey guys, I'm Harin... An undergrad student form India... Researching on 'weights as a plugin' to make use of SSDs to run large LLMs without costing huge inference speed... And I love building games, apps and tools for myself... Excited to try out Jev.\n\nAlso working on a couple of projects like\n\nSnapNap: A quick resume kind of feature for windows inspired from XBOX\n\nDeskOllama: A GUI app that makes running Local LLMs ez pz","sourceHandle":"Harin","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549515735980580877","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-15T20:22:20.068000+00:00","origins":["community"]},{"id":"submission:discord-1549515191702523974","title":"I am also building an open source version of Grok Bot here","category":"Integrations","prompt":null,"description":"I am also building an open source version of Grok Bot here\nhttps://github.com/milind-soni/OpenMausBot\n\nLinked projects:\n• milind-soni/OpenMausBot — Open Source Alternative to Grok Bot with a virtual machine that bots can use - milind-soni/OpenMausBot (github.com/milind-soni/OpenMausBot)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549515191702523974","story":"I am also building an open source version of Grok Bot here\nhttps://github.com/milind-soni/OpenMausBot\n\nLinked projects:\n• milind-soni/OpenMausBot — Open Source Alternative to Grok Bot with a virtual machine that bots can use - milind-soni/OpenMausBot (github.com/milind-soni/OpenMausBot)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549515191702523974","sourceHandle":"milind","sourceUrl":"https://github.com/milind-soni/OpenMausBot","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-15T20:20:10.302000+00:00","origins":["community"]},{"id":"submission:discord-1549515100510224414","title":"I want access to jev so that I can use it for computer use applications!","category":"Work","prompt":null,"description":"I want access to jev so that I can use it for computer use applications! in this \nhttps://www.axstream.dev/\n\nLinked projects:\n• axstream — A streaming action language for computer-use agents. (axstream.dev)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549515100510224414","story":"I want access to jev so that I can use it for computer use applications! in this \nhttps://www.axstream.dev/\n\nLinked projects:\n• axstream — A streaming action language for computer-use agents. (axstream.dev)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549515100510224414","sourceHandle":"milind","sourceUrl":"https://www.axstream.dev/","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-15T20:19:48.560000+00:00","origins":["community"]},{"id":"submission:discord-1549514903994237050","title":"I want to get access to Jev so I can hook it up in the drone harness I built some time ago.","category":"Work","prompt":null,"description":"I want to get access to Jev so I can hook it up in the drone harness I built some time ago.\n\nhttps://youtu.be/ZMcSh_FrVRg?si=qonCoY9YgiuYCNwp\n\nLinked projects:\n• I BUILT a COCKPIT for GROK to PILOT MY DRONE — I built a cockpit inside AgentGrid, connected Grok to a real drone, and gave it control. It went about as well as you’d expect LOL.You can download AgentGrid... (youtu.be/ZMcSh_FrVRg)\n• I BUILT a COCKPIT for GROK to PILOT MY DRONE — I built a cockpit inside AgentGrid, connected Grok to a real drone, and gave it control. It went about as well as you’d expect LOL.You can download AgentGrid... (youtube.com/watch)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549514903994237050","story":"I want to get access to Jev so I can hook it up in the drone harness I built some time ago.\n\nhttps://youtu.be/ZMcSh_FrVRg?si=qonCoY9YgiuYCNwp\n\nLinked projects:\n• I BUILT a COCKPIT for GROK to PILOT MY DRONE — I built a cockpit inside AgentGrid, connected Grok to a real drone, and gave it control. It went about as well as you’d expect LOL.You can download AgentGrid... (youtu.be/ZMcSh_FrVRg)\n• I BUILT a COCKPIT for GROK to PILOT MY DRONE — I built a cockpit inside AgentGrid, connected Grok to a real drone, and gave it control. It went about as well as you’d expect LOL.You can download AgentGrid... (youtube.com/watch)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549514903994237050","sourceHandle":"Souren","sourceUrl":"https://youtu.be/ZMcSh_FrVRg?si=qonCoY9YgiuYCNwp","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-15T20:19:01.707000+00:00","origins":["community"]},{"id":"submission:discord-1549514714554568787","title":"I want to integrate typesafe into my builder so very curious","category":"Integrations","prompt":null,"description":"I want to integrate typesafe into my builder so very curious\n\nhttps://github.com/skyf0xx/hedgehog\n\nLinked projects:\n• skyf0xx/hedgehog — HEDGEHOG codes Cleaner, Faster and with Fewer Tokens. Hedgehog&#39;s AI-driven development builds a task dependency graph from your spec-driven, BMAD-METHOD plan, so Claude Code, Cursor &amp; Gemin... (github.com/skyf0xx/hedgehog)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549514714554568787","story":"I want to integrate typesafe into my builder so very curious\n\nhttps://github.com/skyf0xx/hedgehog\n\nLinked projects:\n• skyf0xx/hedgehog — HEDGEHOG codes Cleaner, Faster and with Fewer Tokens. Hedgehog&#39;s AI-driven development builds a task dependency graph from your spec-driven, BMAD-METHOD plan, so Claude Code, Cursor &amp; Gemin... (github.com/skyf0xx/hedgehog)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549514714554568787","sourceHandle":"Skyfoxx","sourceUrl":"https://github.com/skyf0xx/hedgehog","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-15T20:18:16.541000+00:00","origins":["community"]},{"id":"submission:discord-1549514692102324345","title":"Built in a few weeks part time.","category":"Fun","prompt":null,"description":"Built https://www.fablebrawl.com in a few weeks part time. Would love to get access to Jev so I can understand what it means that “it can’t generate text.” Congrats on the launch!\n\nWrite-up: https://thenickhuber.com/vibe-coding-my-favorite-defunct-game/\n\nAny & all feedback very welcome\n\nLinked projects:\n• FableBrawl — a high-fantasy auto-battler — Draft a warband of storybook champions, arrange your formation, and outlast seven rivals. Free to play in your browser. (fablebrawl.com)\n• A tour inside my software restaurant — AI product leader, self-taught programmer, data scientist, and small-check investor. (thenickhuber.com/vibe-coding-my-favorite-defunct-game)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549514692102324345","story":"Built https://www.fablebrawl.com in a few weeks part time. Would love to get access to Jev so I can understand what it means that “it can’t generate text.” Congrats on the launch!\n\nWrite-up: https://thenickhuber.com/vibe-coding-my-favorite-defunct-game/\n\nAny & all feedback very welcome\n\nLinked projects:\n• FableBrawl — a high-fantasy auto-battler — Draft a warband of storybook champions, arrange your formation, and outlast seven rivals. Free to play in your browser. (fablebrawl.com)\n• A tour inside my software restaurant — AI product leader, self-taught programmer, data scientist, and small-check investor. (thenickhuber.com/vibe-coding-my-favorite-defunct-game)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549514692102324345","sourceHandle":"EarloftheValley","sourceUrl":"https://www.fablebrawl.com","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-15T20:18:11.188000+00:00","origins":["community"]},{"id":"submission:discord-1549514093063573635","title":"I’m dying to hook that into an AI agent harness.","category":"Work","prompt":null,"description":"I’m dying to hook that into an AI agent harness. Want to talk? I guess this is for sharing so I’ll put a run-through of my dark factory and research pipeline. Ignore the substack “subscribe” spam, it’s free. https://tokenfires.substack.com/p/production-and-research-pipeline\n\nLinked projects:\n• Production and Research Pipeline built by Fable — I’ve gone a bit dark over the last few weeks because of Anthropic’s re-release of Fable. (tokenfires.substack.com/p/production-and-research-pipeline)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549514093063573635","story":"I’m dying to hook that into an AI agent harness. Want to talk? I guess this is for sharing so I’ll put a run-through of my dark factory and research pipeline. Ignore the substack “subscribe” spam, it’s free. https://tokenfires.substack.com/p/production-and-research-pipeline\n\nLinked projects:\n• Production and Research Pipeline built by Fable — I’ve gone a bit dark over the last few weeks because of Anthropic’s re-release of Fable. (tokenfires.substack.com/p/production-and-research-pipeline)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549514093063573635","sourceHandle":"TokenFires (Robert Ault)","sourceUrl":"https://tokenfires.substack.com/p/production-and-research-pipeline","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-15T20:15:48.366000+00:00","origins":["community"]},{"id":"submission:discord-1549513634030424126","title":"Ok enough memes for me.","category":"Fun","prompt":null,"description":"Ok enough memes for me. Im a senior ML engineer, started with sutton on ‘15 and contributed to Tensorflow on early days and went to quantitative finance on two sigma and then on my own. Transformers have no predictive power and fail utterly on real markets, so I always worked on research of alternative architectures. Last work was a World Model inspired on Biology and quite similar to the jev approach. First use case for me on finance since I have access to real infra and data to bench and do evals on it if got access. DM opens and happy to help (repo private cause finance is like that but will build in public this use cases)","story":"Ok enough memes for me. Im a senior ML engineer, started with sutton on ‘15 and contributed to Tensorflow on early days and went to quantitative finance on two sigma and then on my own. Transformers have no predictive power and fail utterly on real markets, so I always worked on research of alternative architectures. Last work was a World Model inspired on Biology and quite similar to the jev approach. First use case for me on finance since I have access to real infra and data to bench and do evals on it if got access. DM opens and happy to help (repo private cause finance is like that but will build in public this use cases)","sourceHandle":"Arthur_88","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549513634030424126","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-15T20:13:58.924000+00:00","origins":["community"]},{"id":"submission:discord-1549513249471340724","title":"Hey all! Type Safety is a must! Match your type safety with capability guarantees + identity:","category":"Integrations","prompt":null,"description":"Hey all!  Type Safety is a must!  Match your type safety with capability guarantees + identity: https://github.com/sekosai/schemen-gate\n\nLinked projects:\n• sekosai/schemen-gate — Cryptographic gates, capability delegations, lockboxes, and vector isolation primitives - sekosai/schemen-gate (github.com/sekosai/schemen-gate)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549513249471340724","story":"Hey all!  Type Safety is a must!  Match your type safety with capability guarantees + identity: https://github.com/sekosai/schemen-gate\n\nLinked projects:\n• sekosai/schemen-gate — Cryptographic gates, capability delegations, lockboxes, and vector isolation primitives - sekosai/schemen-gate (github.com/sekosai/schemen-gate)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549513249471340724","sourceHandle":"Ryan McCormick","sourceUrl":"https://github.com/sekosai/schemen-gate","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-15T20:12:27.238000+00:00","origins":["community"]},{"id":"submission:discord-1549513223374508163","title":"I'm interested as I have newer project I started to get Claude to play a complicated MMO as a way to understand how","category":"Money","prompt":null,"description":"I'm interested as I have newer project I started to get Claude to play a complicated MMO as a way to understand how LLMs \"see\" games in real time and experimenting with modeling that vision between humans and AI, as well as how to make instantaneous decisions in a 4d world (combat, movement, etc). I'm also interested in understanding how much better this sort of AI would perform for automated investment research and trading systems","story":"I'm interested as I have newer project I started to get Claude to play a complicated MMO as a way to understand how LLMs \"see\" games in real time and experimenting with modeling that vision between humans and AI, as well as how to make instantaneous decisions in a 4d world (combat, movement, etc). I'm also interested in understanding how much better this sort of AI would perform for automated investment research and trading systems","sourceHandle":"Lord Vomitron","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1549513223374508163","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-15T20:12:21.016000+00:00","origins":["community"]},{"id":"submission:discord-1549511817171312812","title":"Why is AI + Doom so charming?","category":"Integrations","prompt":null,"description":"Why is AI + Doom so charming? Want to ship it in a wrapper so people can run it in their harness browsers? https://github.com/robault/skilldoom\n\nLinked projects:\n• robault/skilldoom — DOOM in your agent's browser preview — prebuilt wasm, Freedoom bundled, one command to play. Ships as a SKILL.md for Claude Code, OpenClaw, Hermes, and any agent with python3. - robault/skilldoom (github.com/robault/skilldoom)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549511817171312812","story":"Why is AI + Doom so charming? Want to ship it in a wrapper so people can run it in their harness browsers? https://github.com/robault/skilldoom\n\nLinked projects:\n• robault/skilldoom — DOOM in your agent's browser preview — prebuilt wasm, Freedoom bundled, one command to play. Ships as a SKILL.md for Claude Code, OpenClaw, Hermes, and any agent with python3. - robault/skilldoom (github.com/robault/skilldoom)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549511817171312812","sourceHandle":"TokenFires (Robert Ault)","sourceUrl":"https://github.com/robault/skilldoom","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-15T20:06:45.751000+00:00","origins":["community"]},{"id":"submission:discord-1549508332744740901","title":"I'm interested in Jev because I believe the domain specific structured output is the way to control AI (DSL-based","category":"Admin","prompt":null,"description":"I'm interested in Jev because I believe the domain specific structured output is the way to control AI (DSL-based harness) . I'm testing Astra's 3D modeling capability by forcing it to generate 3d models in ShapeScript (see the links below). I'd like to see how Jev performs with this test.  \nhttps://mulmoserver.web.app/shapes\n\nLinked projects:\n• MulmoServer (mulmoserver.web.app/shapes)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549508332744740901","story":"I'm interested in Jev because I believe the domain specific structured output is the way to control AI (DSL-based harness) . I'm testing Astra's 3D modeling capability by forcing it to generate 3d models in ShapeScript (see the links below). I'd like to see how Jev performs with this test.  \nhttps://mulmoserver.web.app/shapes\n\nLinked projects:\n• MulmoServer (mulmoserver.web.app/shapes)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549508332744740901","sourceHandle":"Satoshi Nakajima","sourceUrl":"https://mulmoserver.web.app/shapes","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-15T19:52:54.999000+00:00","origins":["community"]},{"id":"submission:discord-1549505365777973378","title":"and i guess since this is show and tell latest astra test, a production scale wow classic server infrastructure +","category":"Evaluation","prompt":null,"description":"and i guess since this is show and tell\nhttps://x.com/kalin_t/status/2097349448305394027\n\nlatest astra test, a production scale wow classic server infrastructure + custom engine in a couple of days\n\nLinked projects:\n• Post by @kalin_t — gpt-astra is an absolute beast here's my 3 day trying it out - custom engine from scratch in C code - production scale wow-classic era mmo server - 20000+ server players no problem - 2000 players on screen at ~100kb/s -  (x.com/kalin_t/status/2097349448305394027)\n• Post by @kalin_t — gpt-astra is an absolute beast here's my 3 day trying it out - custom engine from scratch in C code - production scale wow-classic era mmo server - 20000+ server players no problem - 2000 players on screen at ~100kb/s -  (twitter.com/kalin_t/status/2097349448305394027)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549505365777973378","story":"and i guess since this is show and tell\nhttps://x.com/kalin_t/status/2097349448305394027\n\nlatest astra test, a production scale wow classic server infrastructure + custom engine in a couple of days\n\nLinked projects:\n• Post by @kalin_t — gpt-astra is an absolute beast here's my 3 day trying it out - custom engine from scratch in C code - production scale wow-classic era mmo server - 20000+ server players no problem - 2000 players on screen at ~100kb/s -  (x.com/kalin_t/status/2097349448305394027)\n• Post by @kalin_t — gpt-astra is an absolute beast here's my 3 day trying it out - custom engine from scratch in C code - production scale wow-classic era mmo server - 20000+ server players no problem - 2000 players on screen at ~100kb/s -  (twitter.com/kalin_t/status/2097349448305394027)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549505365777973378","sourceHandle":"kalin","sourceUrl":"https://x.com/kalin_t/status/2097349448305394027","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-15T19:41:07.619000+00:00","origins":["community"]},{"id":"submission:discord-1549498502189555772","title":"Hi all, I mostly mess around building my collaboration harness, that started out years ago as a TODO list and got","category":"Productivity","prompt":null,"description":"Hi all, I mostly mess around building my collaboration harness, that started out years ago as a TODO list and got badly, tragically carried away.\nhttps://www.visionflow.info\n\nLinked projects:\n• VisionFlow: Coordination Engineering — Federated coordination, self-sovereign data, formal reasoning, cryptographic provenance, human-in-the-loop governance. (visionflow.info)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549498502189555772","story":"Hi all, I mostly mess around building my collaboration harness, that started out years ago as a TODO list and got badly, tragically carried away.\nhttps://www.visionflow.info\n\nLinked projects:\n• VisionFlow: Coordination Engineering — Federated coordination, self-sovereign data, formal reasoning, cryptographic provenance, human-in-the-loop governance. (visionflow.info)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549498502189555772","sourceHandle":"biscuits","sourceUrl":"https://www.visionflow.info","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-15T19:13:51.212000+00:00","origins":["community"]},{"id":"submission:discord-1549486851969257652","title":"I made the Doom demo from our launch thread on Twitter.","category":"Social","prompt":null,"description":"I made the Doom demo from our launch thread on Twitter. It's been one of my favorite silly projects ever https://x.com/CompleteSkeptic/status/2099925687465570372\n\nLinked projects:\n• Post by @CompleteSkeptic — We love how this doomo doomonstrates real-time intelligence and what can be doone with code + AI! ~10 calls/sec = ~$7/hour (x.com/CompleteSkeptic/status/2099925687465570372)\n• Post by @CompleteSkeptic — We love how this doomo doomonstrates real-time intelligence and what can be doone with code + AI! ~10 calls/sec = ~$7/hour (twitter.com/CompleteSkeptic/status/2099925687465570372)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549486851969257652","story":"I made the Doom demo from our launch thread on Twitter. It's been one of my favorite silly projects ever https://x.com/CompleteSkeptic/status/2099925687465570372\n\nLinked projects:\n• Post by @CompleteSkeptic — We love how this doomo doomonstrates real-time intelligence and what can be doone with code + AI! ~10 calls/sec = ~$7/hour (x.com/CompleteSkeptic/status/2099925687465570372)\n• Post by @CompleteSkeptic — We love how this doomo doomonstrates real-time intelligence and what can be doone with code + AI! ~10 calls/sec = ~$7/hour (twitter.com/CompleteSkeptic/status/2099925687465570372)\n\nDiscussion: https://discord.com/channels/1483217544214085663/1483217545040232493/1549486851969257652","sourceHandle":"AllieTheIcon","sourceUrl":"https://x.com/CompleteSkeptic/status/2099925687465570372","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-15T18:27:33.583000+00:00","origins":["community"]},{"id":"submission:discord-1531525700316561500","title":"And yep, `story_signal` is also a noul (forgot to expand the raw request element in the details section seen in the","category":"Work","prompt":null,"description":"And yep, `story_signal` is also a noul (forgot to expand the raw request element in the details section seen in the video - its screenshotted below).\n\nPlease let me know if you want me to share the repo\n\nLinked projects:\n• image.png — image/png · 52 KB (cdn.discordapp.com/attachments/1483217545040232493/1531525700085878895)","story":"And yep, `story_signal` is also a noul (forgot to expand the raw request element in the details section seen in the video - its screenshotted below).\n\nPlease let me know if you want me to share the repo\n\nLinked projects:\n• image.png — image/png · 52 KB (cdn.discordapp.com/attachments/1483217545040232493/1531525700085878895)","sourceHandle":"RM","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1531525700316561500","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-07-28T04:56:21.327000+00:00","origins":["community"]},{"id":"submission:discord-1531362194996854885","title":"Ohhhh, I *love* this!","category":"Evaluation","prompt":null,"description":"Ohhhh, I *love* this!\n\nTo answer your question: I think this is an excellent example of the mental model! The way you're using separate nouls to validate that it's a yes/no question, plus another one that confirms if the signal you're looking for is in the story at all (assuming that's what `story_signal` is?) In fact that last bit is I think the real gem here, it's a great way of showing how nouls work particularly well for validation gates alongside using scores for granular signals.\n\nThis is exactly the kind of demo we would build (and are building!) to help people understand how to think in cognition primitives. Bravo!","story":"Ohhhh, I *love* this!\n\nTo answer your question: I think this is an excellent example of the mental model! The way you're using separate nouls to validate that it's a yes/no question, plus another one that confirms if the signal you're looking for is in the story at all (assuming that's what `story_signal` is?) In fact that last bit is I think the real gem here, it's a great way of showing how nouls work particularly well for validation gates alongside using scores for granular signals.\n\nThis is exactly the kind of demo we would build (and are building!) to help people understand how to think in cognition primitives. Bravo!","sourceHandle":"AllieTheIcon","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1531362194996854885","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-07-27T18:06:38.621000+00:00","origins":["community"]},{"id":"submission:discord-1529621617393799281","title":"**Magic-est 8 ball** To nail home a mental model for TypeSafe primitives for myself + others, made this little demo","category":"Home","prompt":null,"description":"**Magic-est 8 ball**\n\nTo nail home a mental model for TypeSafe primitives for myself + others, made this little demo for the score and noul primitives. The score primitive is like a magic 8 ball, but one that actually works + gives you quantitative confidence. \n\nPlease let me know what you think! Is this the good/right mental model?  This demo uses a long-ish technical blogpost that alludes but doesnt itself give a clear conclusion, so I posed it as a question to Typesafe.\n\nLinked projects:\n• output.mp4 — video/mp4 · 2 MB (cdn.discordapp.com/attachments/1483217545040232493/1529621616873443419)","story":"**Magic-est 8 ball**\n\nTo nail home a mental model for TypeSafe primitives for myself + others, made this little demo for the score and noul primitives. The score primitive is like a magic 8 ball, but one that actually works + gives you quantitative confidence. \n\nPlease let me know what you think! Is this the good/right mental model?  This demo uses a long-ish technical blogpost that alludes but doesnt itself give a clear conclusion, so I posed it as a question to Typesafe.\n\nLinked projects:\n• output.mp4 — video/mp4 · 2 MB (cdn.discordapp.com/attachments/1483217545040232493/1529621616873443419)","sourceHandle":"RM","sourceUrl":"https://discord.com/channels/1483217544214085663/1483217545040232493/1529621617393799281","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-07-22T22:50:12.582000+00:00","origins":["community"]},{"id":"submission:x-altryne-2100739055923425589","title":"Claude session 1M to 86K tokens in 1 second with a Jev plugin","category":"Productivity","prompt":null,"description":"This uses @typesafeai Jev model as a plugin in Claude to review all the unnecessary tool calls, and it takes 1s to run! Literally 1 second to take a Claude session from nearly 1M to 86K tokens. Install prompt: Install, and configure: https://github.com/tamaratran/fast-jev-compaction\n\n— @altryne (7.2K likes)\n\nLinked projects:\n• Post by @altryne — This is actually insane. This uses @typesafeai Jev model, as a plugin in Claude to review all the un-nesseasary tool calls, and it takes 1s to run! Like, literally, 1 second to take my Claude session from nearly 1M to .. (x.com/altryne/status/2100739055923425589)\n• tamaratran/fast-jev-compaction — Claude Code plugin that replaces the compaction summary with Jev decisions: every tool call and result is scored in one fast request, stale ones are dropped or truncated, everything kept stays verbatim. — 3031★ · TypeScr (github.com/tamaratran/fast-jev-compaction)","story":"This uses @typesafeai Jev model as a plugin in Claude to review all the unnecessary tool calls, and it takes 1s to run! Literally 1 second to take a Claude session from nearly 1M to 86K tokens. Install prompt: Install, and configure: https://github.com/tamaratran/fast-jev-compaction\n\n— @altryne (7.2K likes)\n\nLinked projects:\n• Post by @altryne — This is actually insane. This uses @typesafeai Jev model, as a plugin in Claude to review all the un-nesseasary tool calls, and it takes 1s to run! Like, literally, 1 second to take my Claude session from nearly 1M to .. (x.com/altryne/status/2100739055923425589)\n• tamaratran/fast-jev-compaction — Claude Code plugin that replaces the compaction summary with Jev decisions: every tool call and result is scored in one fast request, stale ones are dropped or truncated, everything kept stays verbatim. — 3031★ · TypeScr (github.com/tamaratran/fast-jev-compaction)","sourceHandle":"@altryne","sourceUrl":"https://x.com/altryne/status/2100739055923425589","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-18T00:09:55+00:00","origins":["community"]},{"id":"submission:x-tamarajtran-2100694549362553153","title":"Instant compaction: score every tool call, drop the irrelevant","category":"Productivity","prompt":null,"description":"Found the perfect use case for @typesafeai Jev: instant compaction. In 2026, why is compaction still a summarization prompt? Jev can make it instant by scoring every tool call and dropping what is irrelevant.\n\n— @tamarajtran (9.4K likes)\n\nLinked projects:\n• Post by @tamarajtran — found the perfect use case for @typesafeai Jev: instant compaction in 2026, why is compaction still a summarization prompt? Jev can make it instant by scoring every tool call and dropping what’s irrelevant (x.com/tamarajtran/status/2100694549362553153)","story":"Found the perfect use case for @typesafeai Jev: instant compaction. In 2026, why is compaction still a summarization prompt? Jev can make it instant by scoring every tool call and dropping what is irrelevant.\n\n— @tamarajtran (9.4K likes)\n\nLinked projects:\n• Post by @tamarajtran — found the perfect use case for @typesafeai Jev: instant compaction in 2026, why is compaction still a summarization prompt? Jev can make it instant by scoring every tool call and dropping what’s irrelevant (x.com/tamarajtran/status/2100694549362553153)","sourceHandle":"@tamarajtran","sourceUrl":"https://x.com/tamarajtran/status/2100694549362553153","sourceName":"community submission","hasPrompt":false,"addedAt":"2026-09-17T21:13:04+00:00","origins":["community"]},{"id":"submission:x-MaxBlade-2100634359099232678","title":"Jev plays Subway Surfers superhuman, 50 games at once, under a cent","category":"Fun","prompt":null,"description":"Jev playing subway surfers at super human speed, and also playing 50 games at once. Cost less than a cent to do this run. Jev does not replace LLMs like Astra or Fable, but opens up an entirely new world of capabilities.\n\n— @_MaxBlade (3.5K likes)\n\nLinked projects:\n• Post by @_MaxBlade — jev is insane 🤯 Here is Jev playing subway surfers at super human speed, and also playing 50 games at once. cost less than a cent to do this run. Jev does not replace llms like astra or fable, but opens up an entirely n (x.com/_MaxBlade/status/2100634359099232678)","story":"Jev playing subway surfers at super human speed, and also playing 50 games at once. Cost less than a cent to do this run. Jev does not replace LLMs like Astra or Fable, but opens up an entirely new world of capabilities.\n\n— @_MaxBlade (3.5K likes)\n\nLinked projects:\n• Post by @_MaxBlade — jev is insane 🤯 Here is Jev playing subway surfers at super human speed, and also playing 50 games at once. cost less than a cent to do this run. 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to an old Delta card, saving about $1,300 a year in 22 minutes.","story":null,"sourceHandle":"@alliekmiller","sourceUrl":"https://x.com/alliekmiller/status/2103184486167191949","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:370","title":"Overnight Amex duplicate sub cancel","category":"Save Money","prompt":null,"description":"Overnight, Muse cross-referenced Amex charges and canceled 3 duplicate subscriptions he and his wife shared, saving $300 a month with no manual work.","story":null,"sourceHandle":"@SpencerHakimian","sourceUrl":"https://x.com/SpencerHakimian/status/2103135597040980386","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:371","title":"ISP upgrade, free modem & bill cut","category":"Save Money","prompt":null,"description":"Muse got a free internet speed upgrade, a new free modem, a credit on the bill, and a lower monthly rate.","story":null,"sourceHandle":"@AlessandroWongg","sourceUrl":"https://x.com/AlessandroWongg/status/2103174530566938728","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:372","title":"Xfinity bill cut 40% via Muse Bo","category":"Save Money","prompt":null,"description":"Had Muse (named Bo) negotiate a 40% lower Xfinity bill; it took an hour and four agents, but Bo stayed on it.","story":null,"sourceHandle":"@deacow3816","sourceUrl":"https://x.com/deacow3816/status/2103115251369808345","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:373","title":"Parking ticket appeal saves $100","category":"Save Money","prompt":null,"description":"Muse appealed a parking ticket he’d been putting off and saved $100 with zero effort from 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day.","story":null,"sourceHandle":"@OldGuywithAI","sourceUrl":"https://x.com/OldGuywithAI/status/2103133537146671349","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:376","title":"Amazon buys to manufacturer refunds","category":"Save Money","prompt":null,"description":"Had Muse review Amazon purchases and email each manufacturer asking for a refund, with a 1-star review threat if they didn’t respond.","story":null,"sourceHandle":"@velvetere","sourceUrl":"https://x.com/velvetere/status/2103132903362498565","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:377","title":"Strength plan + body graph artifact","category":"Health","prompt":null,"description":"Asked Muse agent Iganacio to build a strength routine and a body graph artifact to track progress.","story":null,"sourceHandle":"@treetoptremor","sourceUrl":"https://x.com/treetoptremor/status/2103181838860836990","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:378","title":"School days-off into calendar","category":"Family","prompt":null,"description":"Used Muse to download school calendars and put all the days off into his personal calendar.","story":null,"sourceHandle":"@FReddych","sourceUrl":"https://x.com/FReddych/status/2103182776300396646","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:379","title":"NYC schools National Merit list","category":"Family","prompt":null,"description":"Couldn’t find a pre-made NYC schools National Merit list like the Bay Area one, so asked Muse to build it.","story":null,"sourceHandle":"@diwakergupta","sourceUrl":"https://x.com/diwakergupta/status/2103162383745392822","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:380","title":"Spotify Muse Tunes playlist","category":"Lifestyle","prompt":null,"description":"Told Muse to create a Spotify playlist and recommend songs he’d like, named Muse Tunes.","story":null,"sourceHandle":"@nicksintech","sourceUrl":"https://x.com/nicksintech/status/2103099934425903518","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:381","title":"Driveway seal coating vendor calls","category":"Admin","prompt":null,"description":"Asked Muse to call three driveway seal coating businesses; one IVR took details and never called back, one went to voicemail, and one hung up on the agent.","story":null,"sourceHandle":"@ujjalcal","sourceUrl":"https://x.com/ujjalcal/status/2103178360377524227","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:382","title":"Property tax appeal: don’t file","category":"Save Money","prompt":null,"description":"Asked Muse to appeal property tax; it pulled the assessor record, found the deadline, compared recent sales, then advised not to file.","story":null,"sourceHandle":"@musetipsdaily","sourceUrl":"https://x.com/musetipsdaily/status/2103166254609793069","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:383","title":"Bills audit flags Uber & Adobe","category":"Save Money","prompt":null,"description":"Had Muse review bills and list subscriptions to cut; it flagged Uber and Adobe based on low use, and opened the door to deal-hunting on Instacart, Walmart, DoorDash, and 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It did, then keeps checking email hourly for updates.","story":null,"sourceHandle":"@TravisHoium","sourceUrl":"https://x.com/TravisHoium/status/2103333958905692574","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:397","title":"Two one-way rentals + cork sheet","category":"Travel","prompt":null,"description":"Muse booked two one-way car rentals and found a cork rubber sheet that was not available on Amazon.","story":null,"sourceHandle":"@richyang1","sourceUrl":"https://x.com/richyang1/status/2103288063460098346","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:398","title":"Truck tires found + install booked","category":"Shopping","prompt":null,"description":"Muse found the right tires for his truck and scheduled the appointment to have them put on, handling an errand he usually dreads.","story":null,"sourceHandle":"@kpb_rolling","sourceUrl":"https://x.com/kpb_rolling/status/2103338024620662920","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:399","title":"Bangalore dental + Mangalore courier","category":"Admin","prompt":null,"description":"After a MediBuddy mess, Muse sorted a dental appointment in Bangalore and booked and paid a Blue Dart courier to Mangalore for ₹250.01 with no phone calls.","story":null,"sourceHandle":"@skinnywalletbro","sourceUrl":"https://x.com/skinnywalletbro/status/2103355710469968169","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:400","title":"Drinks ordered for the potluck","category":"Food","prompt":null,"description":"Muse ordered drinks for a potluck without him hanging around the checkout flow.","story":null,"sourceHandle":"@fahmi___omer","sourceUrl":"https://x.com/fahmi___omer/status/2103380507056828589","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:401","title":"NYT rate cut $30 → $8","category":"Save Money","prompt":null,"description":"Asked Muse to negotiate a New York Times rate increase. 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Muse delivered a narrated storybook; Grok did not come close.","story":null,"sourceHandle":"@EVOptionsTrader","sourceUrl":"https://x.com/EVOptionsTrader/status/2103287334972092767","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:403","title":"Work expenses finally caught up","category":"Admin","prompt":null,"description":"Used Muse to catch up on work expenses after falling behind, with Alexandr Wang chiming in on the thread.","story":null,"sourceHandle":"@MilksandMatcha","sourceUrl":"https://x.com/MilksandMatcha/status/2103540902878937302","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:404","title":"Verizon FiOS chat: $180/year saved","category":"Save Money","prompt":null,"description":"Asked Muse to negotiate Verizon FiOS pricing in site chat. After a first no, Muse pushed harder and locked in $180/year in savings.","story":null,"sourceHandle":"@toddsaunders","sourceUrl":"https://x.com/toddsaunders/status/2103489289648517182","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:405","title":"Broken HVAC vendor found in Gmail","category":"Admin","prompt":null,"description":"Woke up to a broken HVAC unit with no contact saved. Muse searched Gmail, found the vendor in two minutes, saved the contact, and texted to book a noon appointment.","story":null,"sourceHandle":"@drsnow","sourceUrl":"https://x.com/drsnow/status/2103462003025084763","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:406","title":"Councilmember email for unsafe parking","category":"Admin","prompt":null,"description":"After the property manager refused to act on unsafe parking and city planters, Muse found the councilmember's contact, drafted an email with a photo from another thread, and sent it. A response already came back.","story":null,"sourceHandle":"@MehtaCognition","sourceUrl":"https://x.com/MehtaCognition/status/2103536898807419310","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:407","title":"Safeway pickup plus site feedback","category":"Food","prompt":null,"description":"Had Muse place a Safeway pickup order, then Muse suggested and submitted feedback on Safeway's site to make Muse ordering easier.","story":null,"sourceHandle":"@kwatt","sourceUrl":"https://x.com/kwatt/status/2103527859897974877","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:408","title":"Cat litter liner refills from email","category":"Shopping","prompt":null,"description":"Asked Muse to find the old order for cat litter disposal liners in email, locate the site, and order four more refill sets. Muse handled everything except the final purchase click.","story":null,"sourceHandle":"@MrQuiyst","sourceUrl":"https://x.com/MrQuiyst/status/2103496592258998481","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:409","title":"Family cell plan cut $3,000/year","category":"Save Money","prompt":null,"description":"Had Muse check a cellphone bill for savings. Muse Bob cut the family plan in half and saved about $3,000 a year without switching carriers.","story":null,"sourceHandle":"@RSchottenfeld","sourceUrl":"https://x.com/RSchottenfeld/status/2103481051482054977","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:410","title":"Meta conversion lift studies to 2027","category":"Work","prompt":null,"description":"Had Muse create Meta conversion lift studies by month through the end of 2027, then set a reminder system so Muse keeps doing it.","story":null,"sourceHandle":"@herrmanndigital","sourceUrl":"https://x.com/herrmanndigital/status/2103467469952430182","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:411","title":"College volleyball reel inspo in 2s","category":"Work","prompt":null,"description":"Ahead of filming volleyball, asked Muse for college volleyball reels with drama, celebrations, and low angle zooms. 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Alexandr Wang quote-tweeted the win.","story":null,"sourceHandle":"@pitdesi","sourceUrl":"https://x.com/pitdesi/status/2103567763721830734","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:414","title":"eBay sneakers scouted and bought","category":"Shopping","prompt":null,"description":"Muse scouted the best sneaker option online, then bought on eBay with a Link-registered card. Only needed a pop-up approve.","story":null,"sourceHandle":"@gminoprio","sourceUrl":"https://x.com/gminoprio/status/2103608424504397841","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:415","title":"Verizon loyalty cut plus iPhone payoff","category":"Save Money","prompt":null,"description":"Muse bot Ragnar cut a Verizon bill with a $40/mo loyalty discount and got the last $33.30 iPhone 15 Pro Max payment covered as an extra discount. No new plan.","story":null,"sourceHandle":"@M3PUnleashed","sourceUrl":"https://x.com/M3PUnleashed/status/2103619614437425619","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:416","title":"Contacts deal beat 1800contacts","category":"Shopping","prompt":null,"description":"Muse found a better contacts deal than 1800contacts at Walmart, about $150 saved versus doing the comparison by hand.","story":null,"sourceHandle":"@ironted21","sourceUrl":"https://x.com/ironted21/status/2103598375270830299","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:417","title":"Car insurance: $800/year saved","category":"Save Money","prompt":null,"description":"After a messy multi-hour run (and a Geico login handoff), Muse locked a new car insurance policy saving about $800 a year.","story":null,"sourceHandle":"@neuro9younes","sourceUrl":"https://x.com/neuro9younes/status/2103624176745812011","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:418","title":"Business QuickBooks reconcile","category":"Work","prompt":null,"description":"Connected Muse to a business QuickBooks account and reconciled in minutes. Never wants to reconcile by hand again.","story":null,"sourceHandle":"@jasminmiami","sourceUrl":"https://x.com/jasminmiami/status/2103619019940987002","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:419","title":"Dominos coupons then family order","category":"Food","prompt":null,"description":"Used Muse to find the best Dominos coupons and place a family order, paid with Stripe Link.","story":null,"sourceHandle":"@Rayterrill","sourceUrl":"https://x.com/Rayterrill/status/2103638555402842301","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:420","title":"Clips coupon, 0% APR cars, HELOC pass","category":"Save Money","prompt":null,"description":"Muse found a Clips haircut coupon, listed cars with 0% APR, and researched a HELOC enough that they decided not to apply.","story":null,"sourceHandle":"@Bhaskar_new","sourceUrl":"https://x.com/Bhaskar_new/status/2103636482913124562","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:421","title":"State site PDF uploads when Codex was down","category":"Admin","prompt":null,"description":"When Codex was down, used Muse as the agent to upload PDFs to a state site.","story":null,"sourceHandle":"@Joedefendre","sourceUrl":"https://x.com/Joedefendre/status/2103631354948997555","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:422","title":"Microsoft Drawboard refund plus unused M365","category":"Save Money","prompt":null,"description":"Muse traced a mystery $83 Microsoft charge to Drawboard PDF Plus, cancelled recurring billing, got the $83.49 refund via live chat, then found unused Microsoft 365 Family at $129.99/year and cancelled that renewal too.","story":null,"sourceHandle":"@Diego0620F","sourceUrl":"https://x.com/Diego0620F/status/2103681714186772487","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:423","title":"Thanksgiving Boston college tour booked asleep","category":"Travel","prompt":null,"description":"Muse booked a Thanksgiving Boston college tour trip while the user was sleeping.","story":null,"sourceHandle":"@humangetit","sourceUrl":"https://x.com/humangetit/status/2103705926809313355","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:424","title":"Daily industry reports plus competitor alert","category":"Work","prompt":null,"description":"Asked Muse for a daily noon industry report for the business. Muse kept sending them and also proactively pushed a late afternoon competitor news report without being asked.","story":null,"sourceHandle":"@MarioMikola","sourceUrl":"https://x.com/MarioMikola/status/2103930320630501532","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:425","title":"Nap errands: inbox, ISP refund, HVAC","category":"Admin","prompt":null,"description":"While the user napped, Muse cleaned an ancient Hotmail inbox (80k emails down), chased a missing ISP refund to an exact payout date, and scheduled an HVAC tune-up from past maintenance history.","story":null,"sourceHandle":"@anandragn","sourceUrl":"https://x.com/anandragn/status/2103981239199834130","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:426","title":"United refund claim: $313","category":"Travel","prompt":null,"description":"Gave Muse receipt numbers and flight confirmation. It drafted the United refund claim and tracked it to payout. Airline site was broken so the user only clicked submit.","story":null,"sourceHandle":"@Aayush0994","sourceUrl":"https://x.com/Aayush0994/status/2104048960998351262","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:427","title":"Eye, blood work, dentist plus Canon restock","category":"Health","prompt":null,"description":"Muse scheduled an eye exam, blood work, and dentist appointment that had been put off. Also set hourly restock alerts on a Canon GX7 and compared local retail inventory versus Amazon.","story":null,"sourceHandle":"@oliolioxen","sourceUrl":"https://x.com/oliolioxen/status/2104237208085418188","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:428","title":"Stuck PayFlex balance: ~$2,200","category":"Save Money","prompt":null,"description":"After a move from Connecticut, Muse found about $2,200 stuck in an employer PayFlex account the user would not have known about.","story":null,"sourceHandle":"@aprateem","sourceUrl":"https://x.com/aprateem/status/2104298312337949039","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:429","title":"Car insurance switch: $2,130 saved","category":"Save Money","prompt":null,"description":"Shared current policy details, Muse recommended GEICO to save $1,064.50 per 6 month term (~$2,130/year), paid via Stripe, bound the policy, and planned to cancel the old one next morning.","story":null,"sourceHandle":"@NestorLRamos","sourceUrl":"https://x.com/NestorLRamos/status/2104372349613040072","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:430","title":"Covid and flu shot appointment booked","category":"Health","prompt":null,"description":"Muse booked a Covid and flu shot appointment without the user hunting through clinic websites or apps.","story":null,"sourceHandle":"@Suprraja","sourceUrl":"https://x.com/Suprraja/status/2104393725615173856","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:431","title":"Rental car pickup synced to new flight","category":"Travel","prompt":null,"description":"Asked when a rental car pickup was. Muse found it in email, flagged that pickup time no longer matched the new flight arrival, and modified the reservation to match.","story":null,"sourceHandle":"@RealityWatcher_","sourceUrl":"https://x.com/RealityWatcher_/status/2104425988910436861","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:432","title":"State unclaimed funds: $108","category":"Save Money","prompt":null,"description":"Muse found $108 in unclaimed funds with the state unclaimed property division.","story":null,"sourceHandle":"@magic_carpetcap","sourceUrl":"https://x.com/magic_carpetcap/status/2104431308252312029","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:433","title":"SF Tech Week: 6 events registered","category":"Events","prompt":null,"description":"Uploaded a second brain from Claude. Muse picked 6 SF Tech Week events, found the signups, and registered using what it already knew. User contribution: one SMS code.","story":null,"sourceHandle":"@akashpai","sourceUrl":"https://x.com/akashpai/status/2104445174881665274","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:434","title":"State unclaimed property: $600","category":"Save Money","prompt":null,"description":"Asked Muse to find unclaimed property. It came back with $600 owed.","story":null,"sourceHandle":"@ExcelHumor","sourceUrl":"https://x.com/ExcelHumor/status/2104556547556995354","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:435","title":"Delta gate change at 5am","category":"Travel","prompt":null,"description":"Muse flagged a Delta gate change at 5am so the user did not have to check the airline app or email.","story":null,"sourceHandle":"@aritweets","sourceUrl":"https://x.com/aritweets/status/2104571158788297213","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:436","title":"Eight Sleep schedule without $20/mo","category":"Save Money","prompt":null,"description":"Refused the $20/mo Eight Sleep subscription just to schedule on/off times. Asked Muse for a workaround and got nightly 9pm on / 9am off without paying.","story":null,"sourceHandle":"@Tay_Murph","sourceUrl":"https://x.com/Tay_Murph/status/2104589652556669158","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:437","title":"Leaking AC: HVAC tech booked","category":"Admin","prompt":null,"description":"After weeks of a leaking AC, Muse booked an HVAC technician for service. 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Muse called Xfinity, beat the phone tree, reached a human, and handed over the phone. Saved 7.5 minutes on hold.","story":null,"sourceHandle":"@ohkamisli","sourceUrl":"https://x.com/ohkamisli/status/2105062498819064114","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:469","title":"Headlight appointment: $48.50 vs $110","category":"Shopping","prompt":null,"description":"Asked Muse for a headlight bulb price and appointment. The dealership quoted $110; Muse booked Midas online for $48.50 all in and a drive in within 20 minutes.","story":null,"sourceHandle":"@mukund","sourceUrl":"https://x.com/mukund/status/2105070612175790509","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:470","title":"Saved $2,715 in one hour","category":"Save Money","prompt":null,"description":"Ran Muse for about an hour and saved $2,715 across tasks, with receipt screenshots attached.","story":null,"sourceHandle":"@mattmaher14","sourceUrl":"https://x.com/mattmaher14/status/2105070014315258031","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:471","title":"Apple chat: asked for 50% off iPhone Duo","category":"Shopping","prompt":null,"description":"Asked Muse to open an Apple support chat and negotiate a 50% discount on the iPhone Duo. 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After a tighter 4-stage search it surfaced six options.","story":null,"sourceHandle":"@ShippingThesis","sourceUrl":"https://x.com/ShippingThesis/status/2105121391616086319","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:477","title":"Dinner booked in a board room","category":"Food","prompt":null,"description":"Muse booked dinner for the group in a board room while they were using it as a tour guide in Seoul.","story":null,"sourceHandle":"@JennSanasie","sourceUrl":"https://x.com/JennSanasie/status/2105257054458061047","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:478","title":"Tokyo 6-seat: 13h cancellation watch","category":"Food","prompt":null,"description":"Fully booked 6-seat Tokyo restaurant. Muse checked for cancellations every 15 minutes and locked a seat within 13 hours.","story":null,"sourceHandle":"@NoHesiCapital","sourceUrl":"https://x.com/NoHesiCapital/status/2105336169579901084","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:479","title":"OpenAI Pro subscription refunded","category":"Save Money","prompt":null,"description":"Got Muse to refund an OpenAI Pro subscription signed up that morning to test Dots after it kept crashing.","story":null,"sourceHandle":"@SeanOliver","sourceUrl":"https://x.com/SeanOliver/status/2105328287715311940","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:480","title":"Internet $20/mo + airline ~$3K claim","category":"Save Money","prompt":null,"description":"Muse negotiated a lower internet bill (saved $20/mo) and filed a ~$3K reimbursement claim with a European airline after canceled flights.","story":null,"sourceHandle":"@mtohearn","sourceUrl":"https://x.com/mtohearn/status/2105314422340420064","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:481","title":"Facebook Ad Library competitor zip","category":"Work","prompt":null,"description":"Asked Muse to research competitor ads on Facebook Ad Library. It pulled the content and emailed a zip file.","story":null,"sourceHandle":"@gregkop","sourceUrl":"https://x.com/gregkop/status/2105345655455547604","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:482","title":"16 OpenAI receipts to Google Drive","category":"Admin","prompt":null,"description":"OpenAI billing has no easy monthly email receipts. Muse downloaded about 16 receipts and saved them to Google Drive.","story":null,"sourceHandle":"@ravishan","sourceUrl":"https://x.com/ravishan/status/2105311029617947046","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:483","title":"Car service, bloodwork, newspaper fix","category":"Admin","prompt":null,"description":"Muse booked car service, booked bloodwork, and resolved a newspaper delivery issue in one stretch of errands.","story":null,"sourceHandle":"@dav64635","sourceUrl":"https://x.com/dav64635/status/2105311954428719320","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:484","title":"Inbox receipts → reimbursement sheet","category":"Save Money","prompt":null,"description":"Meta Muse scanned inboxes for receipts that qualify for withdrawal and filed every reimbursement into a spreadsheet.","story":null,"sourceHandle":"@traderwhale69","sourceUrl":"https://x.com/traderwhale69/status/2105285544209002711","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:485","title":"112 email lists unsubscribed in 5 min","category":"Admin","prompt":null,"description":"Asked Muse to clean the inbox. In 5 minutes it found 112 email lists and unsubscribed from all of them.","story":null,"sourceHandle":"@builtbydey","sourceUrl":"https://x.com/builtbydey/status/2105345446910767392","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:486","title":"~2000 unopened emails cleared","category":"Admin","prompt":null,"description":"Asked Muse to clear the inbox. It unsubscribed and deleted almost 2000 emails that had never been opened.","story":null,"sourceHandle":"@ZeekTyt","sourceUrl":"https://x.com/ZeekTyt/status/2105329845874127298","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:487","title":"Hidden Amazon sub cancelled","category":"Save Money","prompt":null,"description":"Muse found a hidden active monthly subscription and cancelled it by chatting with Amazon support.","story":null,"sourceHandle":"@staneymv","sourceUrl":"https://x.com/staneymv/status/2105369308255899954","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:488","title":"Birthday dinner + comedy + flights","category":"Events","prompt":null,"description":"Muse booked a birthday dinner and bought 2 comedy tickets (with permission), then found the cheapest flights for an upcoming trip. Progress buzzes arrived between patient rounds.","story":null,"sourceHandle":"@TheExodusBTC","sourceUrl":"https://x.com/TheExodusBTC/status/2105381716290580519","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:489","title":"$500 unclaimed wages from 6yrs ago","category":"Save Money","prompt":null,"description":"Muse found $500 of income never received from a job 6 years ago and claimed it.","story":null,"sourceHandle":"@liamlamont1","sourceUrl":"https://x.com/liamlamont1/status/2105401477741371489","sourceName":"musecases.netlify.app","hasPrompt":false,"addedAt":null,"origins":["musecases.netlify.app"]},{"id":"crowd:490","title":"Family of 6 calendar pipeline","category":"Family","prompt":null,"description":"Wired Muse to kids' school, sports apps, and email. 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