ClawBench Blog

Why AI Agent Accuracy Is a Vanity Metric

Benchmark accuracy alone does not establish that an AI agent will behave reliably in production. Teams also need to measure consistency, robustness, calibration, and safety across repeated, realistic runs.

This analysis explains how those dimensions expose failure modes that a single aggregate score can hide, and how trace-backed evaluation makes the difference visible.