Jev has been exploding in popularity recently. If you already have access to the Jev API but aren't sure how to start experimenting with it, just copy this checklist: 1. jev-ultrafast Browser Use's fastest agent. Jev decides the next action and which element to click, and a language model... is only called when text has to be typed. 2. typesafe-mario Jev plays Super Mario Bros. from structured emulator state, choosing every action from features pulled out of the game. 3. jev-plays-pokemon Reads Pokémon Red's game state as text, answers typed questions each turn, and lets plain code turn the answers into moves. 4. jev-drone A camera-only autonomous drone in MuJoCo with a Jev judgment model sitting in the control loop at 2.5 Hz. 5. robo-harness A real SO-101 robot arm workbench where Jev picks bounded joint steps from typed candidate actions under a spend budget. 6. fast-jev-compaction Claude Code plugin that replaces the compaction summary with Jev decisions, scoring every tool call for whether it is still needed. 7. jev-claude Routes Claude Code's own judgment calls through Jev: typed choices with probabilities at plan approval, on questions, and before risky commands. 8. is-malicious Supply-chain check before you run anything: Jev Noul checks over source and build files, returning the implicated files and lines. 9. sqlite-jev Jev inside SQL. Noul, Choice and Score judgments exposed as SQLite functions, with confidence on every row. 10. jevinci Paints images by having Jev predict every pixel's colour in parallel, with confidence deciding how wide each stroke is drawn. Copy these complete Jev blueprints - then read full Jev setup below ↓ ↓show more

Try THIS/THAT if you want a faster and more accurate decision model

This is exactly the kind of setup I’ve been testing on Mac. I put Laya behind a Jev-compatible API and tested 7 released Jev clients against it unchanged. Then ran it beside a saturated 27B local LLM — short decisions stayed at 47.2ms P99 at 8 req/s. Local decision layer on MLX GPU + Apple Neural Engine:

Dont try to replace the reasoning part by the fast part.every thing has a cost! Great browser Use agents need to learn and only use JEV on a known pattern. Be careful. System 1 alone has no future in production! It is what it is. But for fun, yeah. why Not?

还没玩过这个工具 赶紧去试试效率如何

jev-claude routing Claude Code's own judgment calls through Jev before risky commands execute is the architecture where the decision model audits the generation model — and that is the correct order of operations.

这效率确实有点东西赶紧去试试

The Jev API looks wild, especially with agents deciding actions dynamically

All I know is I have all that since last year

Jev started as a decision model and somehow ended up speedrunning every side quest in computer science. Browser agents, Mario, drones, robot arms, SQL, pixel art… bro refuses to stay in one lane.

这玩意儿实测确实快得离谱建议赶紧上手

Avoiding frontier models for simple decisions is clever, but does Jev's router really beat just hardcoding a few if/else statements?

At 2.5 Hz, jev-drone's loop leaves you 400 ms per decision, so that's the latency to compare your own Jev calls against.

This is a fantastic collection of Jev projects.

fuzzy judgment directly inside SQL feels slightly cursed but insanely useful

yep worth it

Keyword-Tools sind Commodity. Der echte Vorrteil: Audit-Workflows automatisieren, manuelle Klickarbeit sparen, Zeit für Beurteilung und Risikofragen gewinnen.