This blog post discusses the challenges and considerations in building effective multi-agent teams that utilize API calls to large language models (LLMs). It explores factors like agent configuration, task decomposition, coordination, and methods for assessing their performance. The author emphasizes the need for clear criteria to evaluate different agent configurations while suggesting techniques and practices borrowed from human team management to enhance the functionalities of agent teams.