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.
「在這次大會上，比爾坦率發言，對多項問題做出詳細回應，並為自己的行動負起責任。」
。业内人士推荐heLLoword翻译官方下载作为进阶阅读
5 transform chain。业内人士推荐搜狗输入法2026作为进阶阅读
Трамп высказался о непростом решении по Ирану09:14，详情可参考Line官方版本下载