Why Your AI Search Evaluation Is Probably Wrong (And How to Fix It)
AI search evaluation is often reduced to ‘vibes,’ leading to costly infrastructure mistakes. Ahmad Wael breaks down a 5-step framework for building rigorous, reproducible benchmarks. Learn how to source ‘Golden Sets,’ handle API stochasticity with multiple trials, and use the Intraclass Correlation Coefficient (ICC) to ensure statistical reliability before shipping.