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.
效率在提升，但岗位似乎在减少。 这或许是 AI 时代最直接、也最现实的信号。，详情可参考爱思助手下载最新版本
，这一点在搜狗输入法2026中也有详细论述
The library stands on the lip of the precipice gouged out by the landslide, with part of the building in effect hanging in mid-air. The recovery operation, which began on Monday, was preceded by a detailed study of floor plans and interior photographs to map the position of the books.
come play with me :)。业内人士推荐heLLoword翻译官方下载作为进阶阅读