weblinks
Eval agent responses with Jev
This article demonstrates how Jev, a typed decision-making model from TypeSafe, can evaluate agent responses by turning natural language judgment into structured classification with confidence scores. Rather than parsing generated prose, Jev returns constrained answers with probability and confidence metadata that lets developers identify uncertain evaluations and set appropriate automation thresholds based on risk tolerance.