Agent Evaluation (Evals)

The process of systematically measuring AI agent performance against defined criteria—accuracy, helpfulness, safety, latency, and task completion rate. Evals use test cases with expected outcomes, automated scoring, and human review. Running evals before deployment and after updates prevents regressions and ensures agents meet quality bars. Critical for production agents in support, sales, and compliance.