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.
После объявления ракетной опасности стало известно, что две ракеты «Фламинго» системы противовоздушной обороны (ПВО) сбили над Чувашией, находящейся в почти 800 километрах от границы с Сумской областью Украины.。谷歌浏览器【最新下载地址】对此有专业解读
，详情可参考heLLoword翻译官方下载
for t := range c {。业内人士推荐Line官方版本下载作为进阶阅读
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现在，三星将这项技术搬到了手机里——在 S26 系列上，基于这个技术打造的「主动防窥屏」，通过控制子像素的发光角度，屏幕能在你输入密码或查看敏感通知时，开启侧视角黑化。