Multidimensional Agent Evaluation

Evaluation is broadening beyond completion rates and tool-call counts toward long-horizon economics, recovery, intervention burden, stopping calibration, safety, artifact quality, controller efficiency, and realistic task composition. Shared-memory swarm experiments and long-running-agent analyses reinforce the need for complete traces, frozen or executable environments, permission assertions, independent verification, and release-gate evaluation.