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#ai-eval

4 posts

Who Checks the AI Judge? Calibrate It Before It Gates

A judge that agrees with your reviewers 60% of the time produces numbers that look like a good one. LLM judge validation in ai-eval: held-out labels, rates computed by calibrate.py, and a lint that fails any gate on an unvalidated judge.

4 min readIntermediate

Read 100 Real Traces Before You Write One Test

Most LLM test suites measure failures their author imagined. LLM error analysis in ai-eval: read real traces, name failure modes that need three trace references each, and build a dataset with at least 30% real inputs.

4 min readIntermediate