Agent Evaluation

The process of systematically testing and scoring AI agent outputs against defined criteria such as accuracy, helpfulness, safety, and task completion. Evaluation frameworks use test suites with expected outcomes, automated scoring rubrics, and human review to catch regressions before deployment. For example, a support agent eval might test 200 historical tickets and measure resolution accuracy, tone appropriateness, and escalation correctness.