📄 中文摘要
人工智能代理在执行任务时常常面临失败，尤其是当它们开始一个任务却发现无法完成时。这种情况通常发生在代理在没有足够信息的情况下开始工作，导致其在任务进行中出现幻觉或错误的结果。为了应对这些问题，提出了三种有效的提示模式，帮助代理更好地理解任务需求，从而提高完成任务的成功率。这些模式不仅能减少失败的发生，还能提升代理的整体性能和可靠性。
为什么人工智能代理在相同任务中不断失败（以及三种修复方法）
📄 English Summary
Why AI Agents Keep Failing at the Same Tasks (and 3 Prompt Patterns That Fix It)
AI agents frequently encounter failures while executing tasks, particularly when they start a task without sufficient information, leading to hallucinations or incorrect outcomes during the process. This common failure mode highlights the need for better task understanding. To address these issues, three effective prompt patterns are proposed, which help agents grasp task requirements more accurately, thereby increasing their success rate in completing tasks. These patterns not only reduce the occurrence of failures but also enhance the overall performance and reliability of the agents.