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.
"insert or replace into items(url,title,author,published,tags,content,raw) values(?,?,?,?,?,?,?)",。同城约会是该领域的重要参考
Раскрыты подробности о договорных матчах в российском футболе18:01，这一点在91视频中也有详细论述
Last October the investment bank Goldman Sachs put out a report, which was widely cited, suggesting the US could be facing a new period of "jobless growth" thanks to the arrival of new technology and artificial intelligence (AI) in particular, allowing companies to do more with fewer workers.
当然，对于这支球队来讲，对于陕西球迷来讲，从这支球队成立的那一刻开始，大家就有一个梦想，那就是主场能够入驻西北顶级的专业足球场西安国际足球中心。如今，经过几年时间的期待之后，陕西联合、陕西球迷终于圆梦西安国际足球中心，这里也必将成为陕西职业足球又一个重要的起点。