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.
都说“新官上任三把火”。当年，习近平同志到浙江工作不久，有人请他谈谈“施政纲领”。他笑着说：“我刚刚来，还没有发言权。到时候，我是要说的。”，这一点在旺商聊官方下载中也有详细论述
В то же время из аксессуаров для выхода в свет звезда выбрала золотое колье с кулоном и бриллиантовый грилз на зубах.。关于这个话题，91视频提供了深入分析
In a recent update made to Cloudflare Workers, I made similar kinds of modifications to an internal data pipeline that reduced the number of JavaScript promises created in certain application scenarios by up to 200x. The result is several orders of magnitude improvement in performance in those applications.
首个蜜雪冰城主题公园拟选址出炉