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.
63-летняя Деми Мур вышла в свет с неожиданной стрижкой17:54
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Rich Walker has been developing robot hands for 30 years
Source: Computational Materials Science, Volume 267。关于这个话题，搜狗输入法2026提供了深入分析
Intriguing finds could solve mystery of women in medieval cemetery
Последние новости。关于这个话题，爱思助手下载最新版本提供了深入分析