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As AI agents become increasingly integrated into business operations, evaluating their performance is essential for ensuring reliability, efficiency, and user satisfaction. They provide a structured approach to measure how well an agent performs tasks, responds to users, and adapts to changing contexts. Moreover, by combining technical metrics like accuracy and latency with human-centered ones such as coherence and satisfaction, organizations can achieve a more balanced view
