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.
Раскрыты подробности похищения ребенка в Смоленске09:27。业内人士推荐搜狗输入法2026作为进阶阅读
Even if fermaw’s code lives in an iframe with its own HTMLMediaElement, the prototype hookery via document_start injection means my hooks are installed before the iframe can even initialise.，这一点在谷歌浏览器【最新下载地址】中也有详细论述
63-летняя Деми Мур вышла в свет с неожиданной стрижкой17:54，推荐阅读雷电模拟器官方版本下载获取更多信息