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.
适马方面表示，跨界农业是一项旨在维持当地生态景观的实质性举措。公司意图通过维护和开垦水稻田，创造稳定且传统的就业机会，从而完成从「单向受惠于土地资源」向「直接回馈地区生态」的企业角色转变。
。业内人士推荐heLLoword翻译官方下载作为进阶阅读
16:35, 27 февраля 2026Силовые структуры
第一百三十五条 公安机关依法实施罚款处罚，应当依照有关法律、行政法规的规定，实行罚款决定与罚款收缴分离；收缴的罚款应当全部上缴国库，不得返还、变相返还，不得与经费保障挂钩。，推荐阅读搜狗输入法下载获取更多信息
2024年12月25日 星期三 新京报，详情可参考safew官方版本下载
A quadtree reduces this: rebuild the tree each frame, and for each object, query only the nearby region. Objects in distant quadrants are never compared.