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.
（三）采取预售方式销售房地产项目；
Makes it easy for shoppers to filter reviews and find the exact information they’re looking for，详情可参考谷歌浏览器【最新下载地址】
然而，月之暗面虽在资本市场上表现从容，但在模型能力与商业化的探索上，却并没有放慢手脚。。关于这个话题，快连下载安装提供了深入分析
The accords include so-called safety zones to be established around operations and assets that countries build on the Moon.
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