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Jev AI

Jev AI turns application state and typed questions into structured choices, scores, and probability signals for fast agent decisions.

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Overview

Jev AI is TypeSafe AI's System One decision model for bounded decisions inside software. It evaluates shared application state against typed questions and returns structured Choice, Score, or Noul answers that code can route and combine.

Use it for tasks such as ticket routing, test-log triage, incident severity scoring, and yes/no judgments inside agent workflows. Jev is designed as a focused decision layer rather than a conversational assistant: the surrounding application remains responsible for tools, permissions, thresholds, and human review.

The model supports text, JSON objects, and arrays of text as state. Teams should evaluate it on representative data and retain deterministic code for exact rules and irreversible actions.

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