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.
Using YouTube and TikTok to start a side hustle。WPS下载最新地址对此有专业解读
中移互联网的工作人员在讨论风控平台的识别策略。。关于这个话题，WPS下载最新地址提供了深入分析
Bibliographic Explorer (What is the Explorer?)。业内人士推荐heLLoword翻译官方下载作为进阶阅读