Task completion, tool-use correctness, trajectory efficiency, multi-agent systems
4 sections
Learn to define and measure agent task completion — the fundamental metric that separates a working agent from one that looks busy but never actually finishes the job.
Evaluate tool use correctness — whether the agent called the right tools with the right arguments at the right time. The difference between a working agent and an expensive mistake.
Learn to evaluate agent trajectory — whether the path taken to complete a task was efficient, or wasteful. Redundant steps, loop detection, and path optimization separate a demo agent from a production one.
Learn to evaluate chains of agents — attributing failures to the right component, measuring inter-agent communication quality, and ensuring the orchestrator makes good routing decisions.