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.
根据三星官网，标准版 S26 国行仅提供 12+256GB 一种配置，价格相比去年上涨 1000，来到了 6999 元起：。同城约会对此有专业解读
换言之，虽然城乡、年龄间存在AI使用鸿沟，但高龄老人一旦开始使用AI，黏性却更大、频次更高，同样，农村地区老人一旦开始使用AI，高活用户占比反而也更高。。Line官方版本下载对此有专业解读
HTML (experimental)，推荐阅读同城约会获取更多信息