AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
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Jev decision layer for agents: MCP server, embeddable DecisionModel library, and an escalate-only Claude Code plugin (TypeSafe AI's Jev)
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開發工具TypeScript · JavaScriptGitHub @Brainwires自行安裝營運者未確認
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正在載入完整 README。 以下為已儲存的摘錄。
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.檢視完整 README ↗目前無法載入完整 README。請透過原文連結閱讀。 以下為已儲存的摘錄。
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.檢視完整 README ↗