Evaluating chatbot performance focuses on single-turn accuracy and intent recognition, while agent evals assess multi-step reasoning, tool usage, and goal completion. Businesses use agent evals to test autonomous systems, ensuring reliable task execution. Developers and product managers benefit by optimizing workflows, reducing errors, and improving user trust in complex AI interactions.
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