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JevMade field notes / Evaluation guide

How to Use TypeSafe AI’s Jev as an LLM Judge

Checks a support agent’s reply for request coverage, clarity, and empathy, then shows how to align the evaluator against human-labeled traces before using it as a HoneyHive metric.

Original by Mohammed SanjeedEvaluationHoneyHive guideOriginal published Source reviewed

Before you dive in

What you’ll find in the original

  1. Evaluate separate failure modes rather than asking for one opaque quality grade.
  2. Inspect disagreements and keep untouched human-labeled examples for validation.
  3. Pin the model version; Jev cannot verify a claimed handoff without a record of the actual handoff.
Worth knowing

The example starts with a single synthetic exchange; agreement with real human labels is a necessary follow-up, not a result it claims.