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.
Овечкин продлил безголевую серию в составе Вашингтона09:40
，这一点在Line官方版本下载中也有详细论述
Что думаешь? Оцени!
Гангстер одним ударом расправился с туристом в Таиланде и попал на видео18:08
。业内人士推荐同城约会作为进阶阅读
除了补短板，因为智能体要行动、要和环境交互，需要有感知和执行。。业内人士推荐im钱包官方下载作为进阶阅读
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