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.
然而这项技术虽然看着新奇，背后也蕴含着一些硬件增长停滞时代的妥协和无奈。
。业内人士推荐heLLoword翻译官方下载作为进阶阅读
Мощный удар Израиля по Ирану попал на видео09:41
The cabinet report said that, during Storm Dennis and Storm Bert, much of the pavement and highway was under water and there was extensive damage to the properties.