Autonomous trading bot, costly lesson
One evening build, onchain plus offchain feeds, Jev picking trades at machine speed. Also self-reported minus thirty-one grand. Peak interesting.
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Jev directory
The curated map of SDKs, integrations, demos, and apps on TypeSafe System One. Watch real builder clips, skim honest listings, and open docs when you are ready to wire something up.
What is Jev?
“Ask Choice, Score, or Noul. Get probabilities your code can threshold. Skip the pep talk.”
Jev is TypeSafe's System One model: parallel typed questions in, calibrated answers out. Fast, cheap, and allergic to writing paragraphs when a boolean would do.
Open models such as Laya sit beside the hosted API. Read Jev alternatives compared for the ranked list, or Liquid d1 vs Jev for the small multimodal checkpoint.
Setup guides: Jev with Hermes Agent and GitHub Copilot Agent Mode + Jev.
Cool builds
Real clips from builders. Hover for a sneak peek, click for the full lightbox. Then steal ideas from Explore.
One evening build, onchain plus offchain feeds, Jev picking trades at machine speed. Also self-reported minus thirty-one grand. Peak interesting.
Twelve million viral clips, one Clearance gate so your niche feed stops pretending every trend fits. Jev says on-brief before Virlo's eighty-signal panel tags the hooks.
724 live ads, 37 brands, 40 seconds, 9 cents. Jev labels hooks and landing mismatches so media buyers steal patterns, not vibes.
Three hundred millisecond blocks, one Jev Choice, real Kuru orders. Your LLM can keep writing macro essays while the bot actually trades MON-USDC.
TanStack ships decide() for typed choices, scores, and booleans so your agent loop stops faking it as a chatbot. They call the moment jevolution; we call it one less regex on model prose.
Seven seconds, four tenths of a cent, and Jev clicks the right DOM node while a tiny LLM only types when it must.
WHERE jev(people, 'could work from home') and no vector index babysitting. Postgres rows get Noul gates; cache hits land in six milliseconds.
Feed a doc plus plain-English category rules. DocJev uses Jev to classify or find split boundaries six times faster than gpt-5.6-luna at matching accuracy, liteparse included.
Ten thousand shady domains fed into Jev, dub.sh stops looking like a free pass for phishers. Steven solved a day-one abuse problem in one weekend sprint.
Staff picks
FAQ
The TL;DR on Jev and this site. More depth on Learn.