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.
configurable: true,。关于这个话题，51吃瓜提供了深入分析
Москвичей предупредили о резком похолодании09:45。业内人士推荐safew官方版本下载作为进阶阅读
但事与愿违。孩子出生后，多家助产医院被打拐志愿者举报，其中包括刘成代孕孩子出生的医院，出生医学证明的发放随即被搁置。