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.
未来智能是深耕智能办公领域的软硬件一体化AI科技公司，其讯飞AI会议耳机系列已连续三年销量第一。未来智能在语音语义识别领域拥有深厚积淀，致力于打造具有情感和个性化、多模态混合交互的智能AI助理。
，这一点在搜狗输入法2026中也有详细论述
Activists working on internet freedom in countries that unjustly criminalize that work
据悉，本次已为该片第 3 次放映延长，同时影片已于本月 9 日内地票房突破 45 亿元。