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Sep 22, 2026 · Artificial Intelligence

Jev: Extracting Semantic Micro-Judgments from Agent Loops into Observable Decision Layers

TypeSafe's Jev isolates semantic micro-judgments — routing, risk scoring, boolean checks — from generative LLM calls using Choice, Score, and Noul primitives that return typed probabilities, enabling policy code to branch directly on observable, auditable signals instead of parsing free-text model outputs.