AI Agent Evaluation

AI agent evaluation failures — unreliable testing and benchmark gaps before deployment. We've tracked 8 distinct AI Agent Evaluation patterns across production AI agent deployments — most commonly in Accuracy systems. One recurring example: Distribution Shift — Production Queries Differ Significantly from Golden Dataset

Each pattern below documents the specific failure mode, why it happens, and how teams have mitigated it in practice — use this page as a reference when building guardrails, writing evals, or debugging an agent that's already misbehaving in this way.