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.
豆包手机深度集成安卓系统底层权限，采用类似荣耀 Magic OS 的“模拟操作”技术，可以直接跨应用调用服务——无需打开美团、淘宝或携程，只需一句话，豆包就能在多个应用之间自动比价、提醒下单、甚至为用户代填地址。。业内人士推荐WPS下载最新地址作为进阶阅读
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recognized by anyone who was withdrawing cash in that era. The machine had，更多细节参见同城约会
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