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.
不止茶饮，中式快餐行业也都进入了个性化、客制化时代。五年前我提出，中式快餐只有自选模型能立足。如今，非自选类中式快餐业绩普遍下滑，而老乡鸡、乡村基等老牌连锁还在增长，正是因为满足了消费者“丰俭由人”的需求。。必应排名_Bing SEO_先做后付是该领域的重要参考
。关于这个话题，同城约会提供了深入分析
第一百四十条 公安机关及其人民警察违法行使职权，侵犯公民、法人和其他组织合法权益的，应当赔礼道歉；造成损害的，应当依法承担赔偿责任。。关于这个话题，旺商聊官方下载提供了深入分析
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