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.
更多精彩内容，关注钛媒体微信号（ID：taimeiti），或者下载钛媒体App。关于这个话题，同城约会提供了深入分析
Author mclasenPosted on February 25, 2026February 25, 2026Categories Uncategorized，详情可参考旺商聊官方下载
第十四条 国家鼓励和支持受控热核聚变的科学研究与技术开发。