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.
对于党员干部来说，个人的时间和精力总是有限的。如何更好造福于民，考验着为政的立场和智慧。
“80、90后女孩不喜欢夜总会这个名字，不会走进你的地方去工作，怕被朋友知道。很多女孩自己在网上找客人，人家两小时1000块，你3小时才500块。”Maggie姐说，“以前一周可以招到两三个小姐，现在一个月才两三个。”。51吃瓜对此有专业解读
FT Edit: Access on iOS and web
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bottomBorderCache [200]string
tasks := make([]task, 0, lengthGuess)，详情可参考搜狗输入法2026