Agent Evaluation Prerequisites: LLM-as-Judge to Cost-Per-Task
Agent evaluation needs three signals: outcome, trajectory, cost. Learn why LLM-as-judge has known biases and where major benchmarks quietly break.
Agent Reliability & Operations
Production concerns for AI agents including guardrails, error handling, observability, cost optimization, and human oversight.
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Agent Evaluation and Testing →
Agent evaluation and testing is how teams measure whether an AI agent actually does its job. It looks beyond a single …
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Updated May 8, 2026
Concepts covered
Agent Evaluation: How Trajectory Analysis Measures AI Agents
Agent evaluation grades the path, not just the final answer. Learn how trajectory analysis exposes silent reasoning failures in production AI agents.
