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.
Email verification
。Line官方版本下载对此有专业解读
Critical Path CSS generation and deferred loading of CSS files，这一点在快连下载-Letsvpn下载中也有详细论述
The UK government is under a legal obligation to reduce carbon emissions to net zero by 2050, after a law change passed in 2019 with cross-party support.，推荐阅读同城约会获取更多信息