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.
第九十八条 询问笔录应当交被询问人核对；对没有阅读能力的，应当向其宣读。记载有遗漏或者差错的，被询问人可以提出补充或者更正。被询问人确认笔录无误后，应当签名、盖章或者按指印，询问的人民警察也应当在笔录上签名。
，详情可参考heLLoword翻译官方下载
据悉，新机将配备 8.12 英寸内屏以及 6.62 英寸外屏。而据此前消息显示，Find N6 的折痕深度将挑战行业极限，目标是在观感上接近「绝对平整」，触感过渡也更顺滑。，详情可参考同城约会
Израиль нанес удар по Ирану09:28，推荐阅读WPS官方版本下载获取更多信息
Жители Санкт-Петербурга устроили «крысогон»17:52