Jev collects the context so your coding agent doesn't have to. The author reports 40% lower agent cost, verified on SWE-bench.
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What are people building with Jev?
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Jev collects the context so your coding agent doesn't have to. The author reports 40% lower agent cost, verified on SWE-bench.
ElevenLabs transcribes the caller live and Jev scores the scam risk and red flags. About 180 ms per request; 11 requests cost $0.00043.
Each phrase takes the color of its emotion while the caller is still talking, and six meters track the mood of the call. Jev with ElevenLabs.
Beacon gathers sessions from Codex, Claude Code, Cursor and 20+ harnesses; Jev picks the runs worth turning into reusable skills.
Work a firm billed over $20,000 for, redone by Jev in 20 seconds for $0.32, and done better according to the author.
Metaview shipped Jev into its recruiting agents over a weekend: candidate searches went from minutes to seconds, about 10x faster at the same accuracy.
A computer-use agent built on Jev lost its first fight, then came back and won.
Alan AI's in-house console looks for evidence of real work: 20 applications surfaced for human review, about $0.41 in Jev costs.
An old idea worth another look: a classic rule-based expert system, with Jev answering its questions.
Jev fires, another model plans the route. The 40-second launch trailer was made by chatting with an AI video tool.
Jev reads every reply on X and hides the low-effort ones.
Jev stamps every post as you scroll, with its confidence score on the stamp.
A cache-aware router that uses Jev to pick the model and reasoning effort for each request, balancing quality, speed and cost.
Same robot, same instructions: Jev answers in 233 ms, Claude in 2 s. It also sulks when you insult it.
Write your own rules, like "flag anything that sounds like a LinkedIn post", and Jev checks your writing as you type.
Describe a piece of UI and the text box becomes it, with Jev deciding what to render as you type.
Play in the browser and compare your score with Jev's. Built with Next.js and Neon, in the Vercel region closest to Jev's API.
It listens while you present, follows your slides and notes, and keeps track of what you still haven't said.
Predict BTC's price one second ahead against Jev, on Base's 200 ms blocks. No sign-up; the account is set up for you.
Jev highlights the emotion of every sentence in Dostoevsky and dozens of other novels as you scroll, with a map of the characters. Open source.
Each model plays its own emulator. Qwen and OpenCV read the board; Jev and Laya choose which card to play and where.
Jev filters Reddit down to recent posts where someone is actually asking for a recommendation, not launches or self-promotion.
Jev scores relevance, audience fit and whether you have something to add, with a confidence for each call. Now saves posts straight from X.
Play 1v1 against Jev. You even go first, and it still never loses.