AI agents are rapidly advancing across various industries, significantly enhancing productivity, yet the challenge lies in ensuring their reliable performance. This has led to a focus on evaluation and observability from the outset, particularly as multiagent systems are deployed in fields like coding, real estate, and construction. The latest analysis identifies the top five LLM evaluation tools that are instrumental in building and managing robust AI agents. Chris Cooning, with his extensive background in companies like Observable and Boeing, emphasizes the importance of accurate tools that help in engineering functional agents through systems designed to observe, measure, and enhance behavior, cautioning against outdated or misleading information in the market.