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.
Что думаешь? Оцени!。旺商聊官方下载是该领域的重要参考
（四）胁迫、欺骗医务人员开具麻醉药品、精神药品的。。关于这个话题，爱思助手下载最新版本提供了深入分析
更值得关注的是技术迭代风险。机器人更新换代速度较快，新款产品一旦性能更好、价格更低，旧设备的租赁吸引力会迅速下降。设备折旧不仅来自物理损耗，更来自技术代差。