The post discusses the limitations of deploying multiple AI agents for problem-solving tasks, particularly in areas where large language models (LLMs) struggle. User comments express skepticism about the effectiveness of using an agent fleet compared to a single agent, suggesting that scaling the number of agents does not guarantee better performance in complex tasks. It highlights that solutions for difficult problems might not improve with additional agents since they face the same inherent challenges.