What is Jev? A guide to AI that makes decisions

Jev is TypeSafe’s AI model for rapid, structured semantic decisions, designed to classify or evaluate text within predefined answer sets rather than generate free-form language. It accepts textual state, including JSON, and supports Choice questions with up to 255 labels, Score questions using ordered rating levels, and Noul yes-or-no probability estimates, returning labels or scores alongside probabilities and, for Choice and Score, confidence measures. Its intended uses include support-ticket routing, evaluating AI-generated replies, RAG relevance checks, and agent-trace reviews, particularly where low latency and low input-token pricing make repeated judgments practical. Jev evaluates independent questions in parallel but cannot handle dependencies between questions, generate text or code, process non-text media, or reliably perform arithmetic, counting, and date comparisons. Although typed outputs prevent malformed responses, they do not ensure correct judgments or prevent prompt injection, so TypeSafe recommends testing against human-labeled examples and setting automation thresholds based on observed false approvals and rejections. As of September 2026, Jev 1.13 was available through Braintrust, TypeSafe direct access, and OpenRouter, with listed pricing of $0.042 per million input tokens and reported response times of roughly 70 to 500 milliseconds.

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