"But it's a festival, they're expensive. We're a bit lucky we had two before anyone else anyway."
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.
。关于这个话题，Line官方版本下载提供了深入分析
Раскрыты подробности о договорных матчах в российском футболе18:01
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。关于这个话题，雷电模拟器官方版本下载提供了深入分析
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（四）非正常损失的不动产在建工程所耗用的购进货物和建筑服务。不动产在建工程包括纳税人新建、改建、扩建、修缮、装饰不动产。，更多细节参见WPS官方版本下载