instead of yours.
展望2025-2026年，宏观经济的平稳运行并不意味着个体的自动上升。相反，结构性的“降速提质”要求普通人必须主动打破旧有的“勤奋陷阱”，利用新技术和新政策构建自身的非对称优势。
。业内人士推荐搜狗输入法下载作为进阶阅读
// Each component enqueues a small chunk
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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.