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AI Agents & Applications · intermediate · concept 248 of 311 · Updated Nov 4, 2026

Agent Evaluation

Agent evaluation tests whether an agent finishes real tasks correctly, safely and at acceptable cost. It is harder than scoring one model answer, because agents take many steps and can reach the right result by different routes. Good practice combines task success checks, tracing of each step, and a growing set of cases taken from real failures.

Key terms

Task successTrajectoryTracingRegression setCost per task

Where you meet it in the real world

Shipping coding agents, support agents, and research agents with confidence