Your AI Agent Evaluation Is Lying to You: Why 10 Test Runs Prove Nothing

The content argues that 10 test runs between AI agents are insufficient for drawing valid conclusions about performance, even with a 5-5 tie. It explains that win rates have enormous confidence intervals with small sample sizes, introducing the Wilson score interval as a reasonable bound for binary outcomes.