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.
First FT: the day’s biggest stories
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外地种植、生产的陈皮，并不符合“新会陈皮”标注要求，严禁使用相关字样，但新会存在此类违规操作的企业并非个例。，详情可参考Line官方版本下载
How to reproduce
（九）向人民政府或者街道办事处反映居民的意见、要求和提出建议。，推荐阅读下载安装 谷歌浏览器 开启极速安全的 上网之旅。获取更多信息