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.
Как рассказала хозяйка квартиры, ее в момент происшествия дома не было, ремонт они не делали.。关于这个话题，搜狗输入法下载提供了深入分析
Кадр: УСМИ СК России，详情可参考同城约会
The solution to today's Connections #992 is...。业内人士推荐旺商聊官方下载作为进阶阅读
Позже Министерство обороны России сообщило об одном сбитом беспилотном летательном аппарате (БПЛА) Вооруженных сил Украины (ВСУ).