Case wall
Jev AI examples, page 6
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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@rox_ai swapped LLM reranking for Jev classification on sales context retrieval and reports 20× faster, 10× cheaper, and 12% more accurate than GPT-5 Mini.
We used Jev to retrieve sales data 20x faster, 10x cheaper, and 12% more accurate than GPT-5 Mini. Every time a Rox agent answers a query, it pulls from relevan…
OpenRouter launched typesafe/jev-router, a cache-aware model router powered by Jev that picks model and reasoning effort per request.
Introducing typesafe/jev-router: a cache-aware model router powered by Jev and @typesafeai The Jev Router picks the best model and reasoning effort for each req…
"@kraayenJon uses Jev to classify 479 LinkedIn bookmarks (topic, hook, format) in 225s for $0.0195 so saved posts become searchable."
Jev + LinkedIn bookmarks = your saved posts are finally searchable ✅ 479 posts classified in 225 seconds for $0.0195 🤯 LinkedIn has no native way to search what…
"@ElevenLabsDevs pairs live ElevenLabs transcription with Jev for scam risk and red flags; ~180ms per request, 11 requests for $0.00043."
Realtime scam detection using Jev and ElevenLabs. ElevenLabs transcribes the caller as they speak, Jev calculates total scam risk and detects common red flags.…
@nutlope trained Tev1 0.8B, a tiny Jev-like classifier, and shows it classifying tasks locally on a Mac with Ollama at about 50ms end to end. Weights and benchmarks are said to be coming soon.
Just trained Tev1 0.8B, a tiny Jev-like classifier. Here it is running completely locally on my mac with @ollama & classifying some tasks. It's extremely fast:…
@browser_use shows Luna as the planner and Jev as the actor, playing poker and winning.
Luna (planner) -> Jev (actor) playing poker and winning
"@ElevenLabsDevs shows live call sentiment with Jev: each phrase is colored by emotion and six meters track mood while the caller is still talking."
Realtime sentiment analysis with Jev and ElevenLabs. Each phrase takes on the color of the emotion it carries while the caller is still talking. Six meters on t…
@Av1dlive points to one article they say contains the code, architecture, and diagrams needed to start building with Jev and follow the build.
everything you need to start building with jev, in one article. code, architecture, diagrams... everything you need to follow the build and make it your own. ht…
@Vtrivedy10 argues Jev’s semantic matching beats dot-product similarity for RAG—as a direct metric on small data and as a reranker at scale.
Jev for RAG in almost all cases you trust the semantic matching capability of Jev more than dot product similarity very useful as the direct similarity metric i…
@rasukarusan2 says they can now use Jev to judge whether someone is a hype account (驚き屋).
Jevで驚き屋判定できるようになったぞ！！
@jarekceborski rebuilt CAPTCHA with Jev: the browser measures how a form is filled, the server turns that into plain sentences, and Jev decides person or bot. A blog post with source is said to be in the comments.
I rebuilt CAPTCHA with Jev The browser measures how you fill in the form. Server turns that into a few plain sentences, and Jev decides: person or bot. Blog pos…
@TimothyKassis says they built a free tool on TypeSafe Jev that checks how rigorous an academic paper is.
We built a really nice free tool on top of @typesafeai Jev to see how rigorous an academic paper is.
@anishfn built a text box that turns into whatever (some UI) you type, powered by Jev.
i built a text box that turns into whatever(some ui) you type. powered by jev
@orcdev says TanStack AI shipped subagents and that Jev picks which models or agents should run for a task, in parallel, in sequence, or mixed.
TanStack AI just shipped subagents. Jev picks which models / agents should run for the task, in parallel, in sequence, or mixed. Best Jev use case I've seen so…
@Dain0x sketches a workflow to test: a pipeline finds candidate signals, Jev picks which to investigate, Opus explores explanations, then stats and human review ask what evidence would change the conclusion. The animation is described as simulated.
A beautiful pattern can still be noise. Here’s a JEV × Opus 5.5 workflow I’d test: → A data pipeline identifies candidate signals. → JEV selects which candidate…
@icantcodefyi says they created a small directory of Jev use cases.
i created a small directory for jev usecases.
@mrza_ch put Jev behind the wheel. A small vision model in the browser describes the road, and Jev, TypeSafe’s fast, cheap classifier, decides what to do — whether it stops for a child, a dog, or a teddy bear — at https://drive.mrza.ch.
I put Jev behind the wheel. A small vision model in your browser describes the road. Jev, TypeSafe’s fast, cheap classifier, decides what to do. Does it stop fo…
@Abdullah_Ops1 built a Vibe Coder Launch Inspector with Jev: paste a project URL to get a launch-readiness score, issues, evidence, and suggested fixes.
التجربة الثانية مع JEV 👇 سويت له Vibe Coder Launch Inspector تحط رابط مشروعك يفحصه ويطلع لك هل جاهز للإطلاق ولا يحتاج شغل يعطيك Score + المشاكل + الأدلة + وش ال…
@fladdict built a harness that uses Jev to watch Codex and stop bad implementations or runaway behavior in a Codex process meant to run 24 hours. They say it seems to be working and an endurance test is in progress.
JevでCodexを見張って、24時間稼働のCodexのクソ実装や暴走をとめるハーネスを作ってみた。わりと上手く動いてるっぽい。耐久実験中。
@andywang says they built a bookkeeping alternative with TypeSafe Jev over a weekend, fed it 34 months of work a firm charged more than $20,000 for, and that Jev did the job in 20 seconds for $0.32.
The bookkeeping services industry is dead. This weekend, I built a better solution using Jev from @typesafeai. I fed it 34 months of work a firm charged $20,000…
@iannuttall built a free internal-linking tool that uses TypeSafe Jev to classify and select links. It is BYOK or $1 to use theirs, works for up to 500 pages, and exports CSV or JSON for an LLM to implement. The link given is https://ian.is/tools/internal-links.
I built a free internal linking tool using @typesafeai Jev for classifying and selecting the links. BYOK or pay $1 to use mine. It works for up to 500 pages and…
@chrisbrownridge posts another @treg_ai and Jev demo for analyzing data quickly. Treg pulls Meta ads, then Jev tears down the landing pages so you can see where brands send traffic. It categorizes the page type, the offers, and the language used to sell, and it also shows ad creative launch velocity and creative mix. They say the whole thing takes a few seconds end to end.
another @treg_ai /Jev demo to analyze data SUPER fast used treg to pull meta ads and then Jev to teardown the landing pages so you can understand where brands a…
@MrAhmadAwais says Jev launched on Command Code for free, usable in headless mode or via the provider API, and that they open-sourced a mod, cmd-mod-jev-nudge, so Jev can keep an agent running while more work remains.
Launching Jev on Command Code for free today. Jev x Command Code is super interesting. You can only use Jev in headless mode or Provider API. Also open sourced…