行至时间的静深处，光线柔软了，物理空间叠合了，千年前的山川和人物奔来眼底。雨过河源，星沉海底，最遥远的事物变得触手可及。那已是中国文化的一处源头，你静心，屏息，内心一片澄明与虔敬。
27 February 2026
，这一点在谷歌浏览器【最新下载地址】中也有详细论述
Article InformationAuthor, 鄭佩珊，这一点在Line官方版本下载中也有详细论述
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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.