Anthropic’s prompt suggestions are simple, but you can’t give an LLM an open-ended question like that and expect the results you want! You, the user, are likely subconsciously picky, and there are always functional requirements that the agent won’t magically apply because it cannot read minds and behaves as a literal genie. My approach to prompting is to write the potentially-very-large individual prompt in its own Markdown file (which can be tracked in git), then tag the agent with that prompt and tell it to implement that Markdown file. Once the work is completed and manually reviewed, I manually commit the work to git, with the message referencing the specific prompt file so I have good internal tracking.
第九十八条 询问笔录应当交被询问人核对；对没有阅读能力的，应当向其宣读。记载有遗漏或者差错的，被询问人可以提出补充或者更正。被询问人确认笔录无误后，应当签名、盖章或者按指印，询问的人民警察也应当在笔录上签名。。safew官方下载对此有专业解读
，详情可参考Line官方版本下载
Chief Medical Examiner Dr Odey Ukpo said the practice of security holds is "virtually unheard of in other counties" and "has not been proven to improve outcomes in the legal system".
但技术趋势，并不自动等于个人机会。。safew官方版本下载是该领域的重要参考