EVALUATING AGENTS ON HIGHLY SUBJECTIVE TASKS

Summary from the TLDR Dev newsletter

Reliable evaluation of open-ended agent tasks combines calibrated human judgments, automated judges or rubrics, and production monitoring. Power analysis, confidence intervals, and repeated runs help distinguish improvements from noise, while realistic, diverse tasks, and production feedback keep benchmarks useful.