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.
Гангстер одним ударом расправился с туристом в Таиланде и попал на видео18:08
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numbers that it is now known as the 3624 algorithm. Here's how it works: the
instead of yours.
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今天的中国，科技成果惠及千家万户，民生商品量足价稳，社区服务丰富暖心。秉承“让人民过上幸福生活是头等大事”，擦亮“民生为大”的价值底色，大国发展的宏伟蓝图正化作万家灯火的幸福实景。
You can also make minor edits to the suggested logos to better fit your needs as well. But to get that png you need to pay a hefty price, but if you are looking for some logo ideas, this is a great place to start.，详情可参考WPS下载最新地址