title: "How to build agents that actually work: A practical guide to evaluating AI"

Building effective AI agents requires a robust evaluation framework that differentiates between platform quality and agent quality. Platform quality metrics ensure the AI has a solid foundational understanding of enterprise context, knowledge, and permissions. In contrast, agent quality metrics focus on the specific performance of an agent, measuring its helpfulness, correctness, and safety for a given task. This dual approach enables an iterative development cycle of building, evaluating, and refining agents to ensure they are reliable and deliver tangible value.