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Jev AI examples, page 3
407 real Jev AI builds and public demos, updated daily. Original text, metrics, and a link back to each source.
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Public Jev AI examples and demos, not official TypeSafe docs. Clients and SDKs are in the Jev GitHub projects. Paths for jev-latest, Vercel, and OpenRouter are in the September 2026 channel map.
Agent-skill repositories are listed on Jev skills on GitHub.
OpenRouter model ids recorded for Jev AI are on Jev AI on OpenRouter. Rubric and eval posts are on Jev as a judge. How the company and the model fit together is on TypeSafe AI. The pricing calculator uses the published input rate.
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@parkerbrowndev hooks Jev before tool calls in a Pi/Harbor setup with Haiku; reports better safety, half the tokens, higher API $ from broken caching.
Jev pre-tool call router experiment pass 1 is in! Design - Haiku (fast) model - Pi harness - Harbor eval - Jev gets hooked in BEFORE tool calls Result: - MUCH b…
@jurlycat cites Vercel’s October AI Gateway report: Jev reached 35.3% of paid teams in 14 days with 0.27% of spend and strong week-two return.
Jev in Vercel’s October AI Gateway report: • 35.3% of paid teams used it in its first 14 days, the fastest adoption in Gateway history. Sonnet 5.5 reached 18.1%…
@techemmyleke built an open-source scene finder: describe a movie moment and Jev locates it; Windows and Apple silicon.
👀 One use case for jev is being able to find scenes in movies that you just cannot remember the timestamps. Built scene finder to demo that concept. It lets you…
@sinkush: a local hybrid pass takes the top 30, then Jev judges each hit in parallel in about 0.3 s for a tenth of a cent.
Semantic search isn't relevance search. I first built agentic, file-system-style retrieval: accurate, but ~30 s per question. Now a local hybrid pass finds the…
@dave8172 uses Jev in an affiliate-terms refresh pipeline to validate terms and extract only when a page changed, with per-page time and cost versus Haiku and Opus.
Added @typesafeai Jev to speed up data check on webpages. I run an affiliate program terms directory and for its refresh pipeline, which regularly has to update…
@trevin demo: name an object in a picture; Jev 1.14 draws a bounding box and shows latency and cost (demos.trev.in/hotdog).
Built a small demo of @typesafeai Jev 1.14 which adds image support: Where is Hotdog? 🌭 Name something in the picture and Jev tries to find it, drawing a boundi…
@danielhayesmith wires TypeSafe Jev to analyze after each sentence on a custom phone keyboard he built.
OK, I added @typesafeai Jev to analyze after each sentence in this new keyboard I've built. Pretty wild!
@kj4dh4v built the Seefood app with TypeSafe Jev image and @googlegemma. It goes beyond hotdog or not hotdog. Try seefood.verygoodproduct.company.
Built the Seefood app using @typesafeai Jev image and @googlegemma. It goes beyond hotdog and not hotdog now. Try it: https://seefood.verygoodproduct.company
@typakon4 shipped jev-layer 0.3.0 with Jev 1.14 screenshot input, visual grounding, and opt-in desktop action advice for agent harnesses.
Shipped jev-layer 0.3.0 with Jev 1.14: screenshot input, visual grounding and opt-in desktop action advice for agent harnesses. Jev recommends. Your host keeps…
@anarchyco uses Jev-style decisions (on-device Tev1) to detect basketball regions of interest, compared against YOLO + OC-SORT heuristics in a video.
Trying Jev but in a different way.... Using it now to detect Region of Interest in a basketball game and also running it on-device with Tev1 implementation inst…
@akshay_pachaar put Jev in TrueForge for client follow-up matching: as accurate as Opus on 40 requests at 150x lower decision cost.
i just put Jev inside an open agent harness. (150x cheaper decision-making than LLM) agents burn a lot of tokens on decisions that are really just picking one o…
@mentiss_ai ships TypeSafe Jev in Mentiss for votes/targets; 10-player test cut model costs over 60% vs older games.
I just shipped Jev from @typesafeai in Mentiss. It handles votes, targets and other non-speaking decisions; your chosen model still does the talking. In my 10-p…
@dfinke: screenshot→spreadsheet in 11s; Jev finds the table (skips chart), then LLM+ImportExcel via one PowerShell line.
Screenshot → spreadsheet in 11 seconds. One line of #PowerShell. @typesafeai Jev finds the table (skips the chart), crop → LLM extracts the rows, ImportExcel sh…
@CaineArdayfio demos Thud: Mobile Use plus Jev audio that maps spoken commands to page actions without transcription.
Mobile Use + Jev for audio = ULTRAFAST⚡️ 10x faster and 20x cheaper than Gemini Live. It's our Audio Action model, Thud. Thud listens and then does. It has a pr…
@gbolagadehq compares Jev 1.14, OpenAI Decisions API, and Opus 5.5 on five public tests including 1,999 product photos.
https://x.com/i/article/2112290824528576512
@twid put Jev 1.14 on a doorbell→Discord pipeline: person-in-frame checks hit 23/23 in ~200ms, then Box crops for captions.
Tried @typesafeai’s jev 1.14 preview on my doorbell cam’s alert-to-Discord pipeline. My old setup: Gemma 4 26B describes the frame, then DeepSeek V4.1 Flash wri…
@kmelve wired multimodal Jev box answers into Sanity so drafts auto-set image hotspot and crop from a text description.
Jev got 👀 📐🖼️ now! Multimodal Jev and a new bounding box type from @typesafeai launched today as early access aka "dreamer mode" aka `typesafe_danger_zone`. Too…
@alara_martin_ built Tab at Paradigm Frontiers: Mac autocomplete that predicts the next action with Jev and confirms in one Tempo keypress.
Had a great time at @paradigm Frontiers! I built Tab, an autocomplete for your entire Mac, with @northcalorina and @rangrejayush. It predicts your next action u…
@justmaler open-sources PromoterCat: search 10k+ subreddits for self-promo-friendly ones, classifying with Jev on Vercel.
finally able to make this completely free! you can search through 10,000+ subreddits and filter for those that allow self-promotion (+ plugin for codex / claude…
@smokyproductco open-sourced agy-cua: background computer use for Google Antigravity via Cua Driver, built with @trycua and TypeSafe Jev.
Do you use @antigravity ? Do you wish antigravity had computer use? Have you tried the Google Computer Use feature gated behind API and realized it sucks ass? T…
@ZubinPratap replaced airline IVR menus with a Jev+Cartesia voice sim: one sentence routes a bag claim in 368ms at 0.97 confidence.
Every time I call an airline, I multitask on something else while the IVR menu reads out its options. And every time I miss the option I wanted and have to list…
@zhining_liu launches JevAny: OSS toolkit to train/deploy System-1 decision models; 27B release beats Jev 1.13.0 on two evals.
1/5 🚀 Train and deploy your own Jev model with JevAny! We built an open source toolkit covering data prep, training, evaluation and deployment, plus a playgroun…
@pdurdenj ships unofficial jevkit-lint on npm and PyPI: reads Jev definitions and flags jev-1.13 failure modes with no API calls.
jevkit-lint has 636 downloads on npm and pypi. it reads jev definitions and flags jev-1.13 failure modes. no api calls. npm https://www.npmjs.com/package/jevkit…
@_aj Day 2 at Grep: agents research with frontier models, then Jev picks against your criteria with calibrated confidence.
Every day this week, we're launching a new feature @GrepdotAI to help you automate the work that's slowing down your business. 𝗗𝗮𝘆 𝟮: 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗼𝘂𝘁𝗽𝘂𝘁𝘀 𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝗯…