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.
昨日，多款「迪士尼 × F1®」联名合作产品官宣。。im钱包官方下载是该领域的重要参考
The American private prison operator running Australia’s immigration network used an unsecured and unmodified Kia Carnival to transport a detainee who allegedly stabbed two of its staff during the journey and fled.，这一点在Line官方版本下载中也有详细论述
What are your go-to custom routing settings that you're glad are still supported?。快连下载安装对此有专业解读