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.
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36氪获悉，美股大型科技股盘前普跌，截至发稿，英特尔跌超3%，英伟达、亚马逊、谷歌、奈飞跌超2%，特斯拉、微软、Meta跌超1%，苹果跌0.54%。下一篇ST京蓝：公司股票核查结束，将于3月4日复牌36氪获悉，ST京蓝公告，此前公告，公司股票自2026年2月27日开市起停牌核查。停牌期间，公司就股价波动的相关事项进行了核查。鉴于相关自查工作已完成，公司股票将于2026年3月4日（星期三）开市起复牌。
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