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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.
"The state media is using words reserved for the supreme leader. It underlines her own cult of personality."。业内人士推荐体育直播作为进阶阅读
Гендиректора «Фонбета» задержали за взятку в 60 миллионов рублей.Как главный букмекер России пытался откупиться от ФСБ?31 января 2025，推荐阅读同城约会获取更多信息
one behaving differently and each one completely customizable.。关于这个话题，体育直播提供了深入分析
翟星理 韩谦 小尘4x 李睿妍