Decisions, not strings
Jev returns typed outputs your software can act on directly — enums, booleans, scored integers. No parsing prose, no fragile regex.
JevHunt indexes every app, playbook and tool built on Jev — the System One model from TypeSafe AI that returns typed decisions with calibrated confidence. Discover what the ecosystem is building, then ship your own.
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A new class of model that speaks in decisions, not paragraphs.
Jev returns typed outputs your software can act on directly — enums, booleans, scored integers. No parsing prose, no fragile regex.
Every decision ships with an estimate of how sure the model is. Act autonomously above your threshold, escalate to a human below it.
Jev doesn't write prose, so there's nothing to hallucinate. Outputs stay inside the schema you declared at call time.
Reliable, fast, self-consistent and type-safe — built with a new architecture, sampler and a training algorithm called RLCD.
Apps, recipes and open-source tools built on Jev. Filter, search, ship.
Where machine-native decisions create the most leverage today.
Copy-paste patterns for the modes builders use most.
Jev is brand new. Here's what has happened — and what's next.
The catalog grows with the community. Submit an app, a mode recipe, a typed schema or an open-source plugin and we'll feature it in the directory.