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.
Discord #ops 频道的消息 → 应该交给 work
。业内人士推荐体育直播作为进阶阅读
展望2026年，随着咖啡行业“万店俱乐部”竞争日趋激烈，外卖渠道的竞争将从价格补贴转向服务与体验的比拼。对于瑞幸而言，如何进一步释放规模效应、优化外卖渠道成本结构，同时通过产品创新与精细化运营提升用户价值，将成为破解盈利困局、巩固龙头地位的关键。（作者 | 谢璇，编辑 | 房煜）
На шее Трампа заметили странное пятно во время выступления в Белом доме23:05