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.
ВСУ запустили «Фламинго» вглубь России. В Москве заявили, что это британские ракеты с украинскими шильдиками16:45。Safew下载是该领域的重要参考
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对符合行政复议、行政诉讼受理条件的行政争议,行政执法监督机构应当引导当事人依法申请行政复议、提起行政诉讼;对已经进入行政复议、行政诉讼程序的行政争议,行政执法监督机构不重复监督。
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