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.
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СюжетПрезидентские выборы в США，详情可参考体育直播
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Wordle today: Answer, hints for March 3, 2026
北京银行积存金买入价3月2日惊现1.6元/克报价，而实时卖出价仍为1173.40元/克，价差超过700倍，引发部分投资者套利交易。随后银行紧急暂停业务、单方面撤销订单并扣划相关投资者账户资金，引发市场广泛关注。针对此次乌龙事件及投资者反映的资金被扣划、订单撤销等问题，3月3日，以投资者身份致电北京银行，接线工作人员回应称，此次积存金异常属于业务端问题，对银行经营应该没有影响，目前尚未接到监管通知，若有监管通知会第一时间对外公告，且不存在应披露而未披露的重大信息。，详情可参考搜狗输入法