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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.
Tech firms will have 48 hours to remove abusive images under new law，推荐阅读WPS下载最新地址获取更多信息
大富豪想必率不乏智，命亦不能曰穷，交则更不穷，其所穷者，其学耶？文耶？，推荐阅读一键获取谷歌浏览器下载获取更多信息
“把乡村振兴的美好蓝图变为现实”
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