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.
西投：字节跳动估值升至5500亿美元，相较去年股票回购增长约66%
，这一点在旺商聊官方下载中也有详细论述
公有云、私有云和混合云各有优势，企业需要根据业务场景做出选择。
据新华社报道，澳大利亚警方12月15日说，悉尼邦迪滩发生的枪击事件已造成包括1名作案嫌疑人在内的16人死亡、40人受伤，两名嫌疑人为一对父子。
Виктория Клабукова