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.
珞博智能的首款产品芙崽Fuzozo，主要击中的也正是这批用户。芙崽外观类似毛绒挂件，有金木水火土五种性格，支持语音对话、触摸互动等，能通过眼睛展示不同表情情绪。根据媒体采访报道，芙崽的用户群体中女性占八成，大体可以分成两层，一层是还在6-12岁的小朋友，另一层则是30岁上下的女性，有情感交流的需求，也有较强的消费力。，更多细节参见WPS官方版本下载
Show performance metrics by keyword。旺商聊官方下载对此有专业解读
pixels create worker2 --from mybox:ready
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