title: "実際に機能するエージェントを構築する方法:AI を評価するための実践ガイド"

Building effective AI agents requires a robust evaluation framework to ensure they contribute meaningfully to team operations. It is crucial to establish quality metrics that confirm agents correctly understand and utilize company data and business processes. This evaluation process involves creating a "golden set" of question-and-answer pairs to test the agent's accuracy and relevance. By systematically assessing performance, organizations can guarantee that their AI agents are reliable, grounded, and truly functional within the enterprise.