AI Model Evaluation

As of 2026-05-29

4 eval axes: accuracy/faithfulness · relevance · robustness · bias. Senior pattern: 50-200 prompt golden set per skill, versioned, re-run on every change. LLM-as-judge for scale (70-80 % human agreement at 1-2 % cost). Continuous weekly eval in prod, alert on > 5 % drift. Without eval, every change is a coin flip; AI feature becomes unmonitored risk in 6 months.