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.
FT Edit: Access on iOS and web
int key = arr[i]; // 待插入的元素。WPS下载最新地址对此有专业解读
规模效应之下，头部集团的资源吸附与会员掠夺能力持续强化，而尚处消费生态构建阶段的腰部集团则承压日增。此消彼长之间，行业“方差”还将持续扩大，马太效应愈发凸显。。爱思助手下载最新版本对此有专业解读
民心是最大的政治。唯有将人民置于最高位置，一切奋斗才有意义，一切政绩才有价值。
"The Pulse With Francine Lacqua" is all about conversations with high profile guests in the beating heart of global business, economics, finance and politics. Based in London, we go wherever the story is, bringing you exclusive interviews and market-moving scoops.。业内人士推荐同城约会作为进阶阅读