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.
而创作这个温柔世界的过程，也在悄悄改变着她。最初在社交媒体上曝光游戏时，遇到不同的声音，她忍不住争辩；可如今，她早已能平静地理解对方的出发点。。搜狗输入法2026是该领域的重要参考
Source: Computational Materials Science, Volume 267。业内人士推荐Line官方版本下载作为进阶阅读
A mixture of items are on offer at Daventry Community Larder。关于这个话题，heLLoword翻译官方下载提供了深入分析
Nature, Published online: 25 February 2026; doi:10.1038/s41586-025-10064-4