Jev decision layer for agents: MCP server, embeddable DecisionModel library, and an escalate-only Claude Code plugin (TypeSafe AI's Jev)
Jev is TypeSafe AI's System One model: a fast, calibrated classifier. You give it a state and a map of typed questions — yes/no, pick-one, rate-on-a-rubric — and it answers every one in parallel with a probability over the answer space you defined. It never generates text, so the answer is always inside your schema.
jevwire wires it into a harness. The repository is Brainwires/jevwire; the npm package is still published as jevwire and the Claude Code plugin is jev.
- 6 MCP tools — jevrank, jevverify, jevevaluate, jevgateaction, jevnextstep, jevlistmodels. - An embeddable library — JevDecisionModel plus a pure run function per tool, so mandatory checks can live in your harness instead of in a tool an agent may decline to call. - A Claude Code plugin — hooks that put judgments at the harness boundaries: before a tool call, after a fetched result, before the turn ends. Everything they decide is addressed to Claude, not to you: a note about a call that already ran, or a single deny Claude can answer. As of 0.3.0 they never prompt you.
It is not for generation, arithmetic, counting, date comparison, or multi-hop reasoning. It answers bounded questions over text you hand it. Anything numeric or ordered should be extracted as a choice over enumerated options and compared in code.
Release 0.4.0 has been exercised against the live TypeSafe API on 2026-09-18. Every latency, token count and cost figure quoted in this README comes from that run or the 0.3.0 one it is compared against.
From the project README.
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