EvalOps is the operational practice of running evaluations continuously across the agent development and deployment lifecycle. It brings CI/CD discipline to AI systems: run evals, detect regressions, notify the right people or agents, gate risky changes, and use results to improve the system.
EvalOps is not just "more evals." It is the workflow layer around evals. For agents, that includes trace collection, dataset management, evaluator versioning, experiment comparison, deployment policies, alerting, and auditability.