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.
01、离别焦虑驱动的万亿级消费市场任何消费决策，一旦拥有情感属性，价格往往就不再是第一位的变量。宠物市场的变化，正是这句话最直观的注脚。。WPS下载最新地址对此有专业解读
or not that many objects can fit on a page.，这一点在51吃瓜中也有详细论述
Pokémon TCG Scarlet & Violet Journey Together Three-Booster Blister (Scrafty)