Nice paper showing how to re-evaluate a production agent at a fraction of the cost. 200 questions, 38.5% of the full benchmark, reproduce the full score to within 1.03 points. The authors studied an analytics agent that serves tens of thousands of monthly users, using 574 historical benchmark runs split by date into calibration and held-out periods. They compared random sampling, cached results, fixed representative subsets and adaptive testing based on item response…