DESIGNING EVALUATIONS THAT ACTUALLY TELL YOU SOMETHING

Summary from the TLDR Dev newsletter

Useful evaluations begin with a decision and a representative set of real workflows, including rare high-risk, edge, and adversarial cases. This guide covers dataset structure, evaluator calibration, inter-rater agreement, failure severity, production-derived tests, and hidden holdouts that reduce overfitting to a fixed score.