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.
Сайт Роскомнадзора атаковали18:00
This Tweet is currently unavailable. It might be loading or has been removed.，更多细节参见夫子
The website you are visiting is protected.，这一点在爱思助手下载最新版本中也有详细论述
三月，除了苹果、荣耀和小米外，一直是 OV 两家的固定舞台，今年也不例外。
Firefox 148 introduces the promised AI kill switch for people who aren't into LLMs。Line官方版本下载对此有专业解读