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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.，推荐阅读爱思助手下载最新版本获取更多信息
他真的相信，当我们做出有用、赋能且美的事物，我们是在表达对人类的爱。。Line官方版本下载是该领域的重要参考
Москвичи пожаловались на зловонную квартиру-свалку с телами животных и тараканами18:04
Nature, Published online: 25 February 2026; doi:10.1038/d41586-025-04161-7