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.
2026年2月23日14时45分，牛被众人抬上沟壑的一面山坡。南方周末记者郑丹摄
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Трамп высказался о непростом решении по Ирану09:14
第三条 居民委员会根据居民居住状况，按照便于居民自治，有利于基层治理的原则，一般在一千户至三千户的范围内设立，也可以根据实际需要，在适当范围内设立。设立居民委员会的区域称为社区。