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.
昨日，魅族科技方面发布公告进行回应。其表示，公司未来将进行战略转型，找到一条让自身健康经营和持续创新的道路：
It has become a central player in the buildout of AI infrastructure, providing sophisticated chips to leading AI model developers including OpenAI and Meta.。业内人士推荐爱思助手下载最新版本作为进阶阅读
Go to technology
，详情可参考Line官方版本下载
Here are some of the biggest US movers before the bell:。关于这个话题，safew官方版本下载提供了深入分析
2026-02-26 21:00:00