A Passing Eval Doesn't Mean Your AI Feature Is Reliable
How I think about evaluation sets, failure analysis, and the gap between a good score and a dependable AI product.

Series
Real problems, experiments, trade-offs, and lessons learned while building AI-powered products.
How I think about evaluation sets, failure analysis, and the gap between a good score and a dependable AI product.

What three iterations of an LLM-as-a-judge rubric taught me about evaluation design, regression testing, and synthetic data quality.
