Decoding Anthropic’s Agent Evaluation Methodology: Challenges, Graders, and Best Practices
Anthropic’s engineering blog outlines a systematic approach to evaluating AI agents, highlighting why agents are harder to test than traditional software, defining key concepts like tasks, trials, transcripts, and outcomes, and detailing the three grader types, evaluation timing, and practical decisions for building robust eval pipelines.
