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.
Get editor selected deals texted right to your phone!
。业内人士推荐WPS下载最新地址作为进阶阅读
give the same smug lectures about "safety" we have all heard dozens of times before
- Allow users to specify a horizontal and vertical pixel offset for the icon relative to the canvas.