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.
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Programme WebsiteShow less。safew官方下载是该领域的重要参考
2 月份的最新数据显示，MiniMax、月之暗面（Kimi）、DeepSeek 等中国模型在全球范围内迎来显著增长。
。业内人士推荐旺商聊官方下载作为进阶阅读
第三节 侵犯人身权利、财产权利的行为和处罚。关于这个话题，WPS下载最新地址提供了深入分析
台灣超過一半以上的職位與供應鏈相關，若不改革移工處境，將直接衝擊本土經濟。