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.
A social media content creator was arrested Thursday after New York City police said he was one of a number of people who pelted officers with snow and ice during a massive snowball fight in Washington Square Park this week.，推荐阅读WPS下载最新地址获取更多信息
2026-02-24 20:00老家县城，已经折叠成了两个平行宇宙罐头辰，这一点在旺商聊官方下载中也有详细论述
location: ${location name},
process(chunk);