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.
Дандыкин напомнил, что раньше украинский «москитный флот» орудовал в Черном море. Когда России удалось навести там порядок, противник решил сместить акценты и начать угрожать гражданским газовозам, которые везут топливо потребителям, сказал он.
。爱思助手下载最新版本是该领域的重要参考
Москвичей призвали помнить об одной опасности14:49
НАСА откроет стартовое окно Artemis II в апреле14:57，详情可参考爱思助手下载最新版本
For once, nobody rambled, nobody went off script, and almost everyone remembered to thank their mum.，更多细节参见体育直播
这就是法币体系和金本位最本质的区别：金本位下，战争是借的债，终究要还；法币体系下，战争是印的钱，悄悄稀释就完事了。