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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A few months later, the Korean War broke out and his former fellow apprentice pilots were sent to South East Asia. Many never got to finish their education.，这一点在safew官方版本下载中也有详细论述
Unreferencing should put the object back onto its free list。关于这个话题，雷电模拟器官方版本下载提供了深入分析
针对近期资本市场担忧 AI 智能体将颠覆按座席收费模式的「SaaS 末日论（SaaSpocalypse）」，Benioff 在会上指出，行业并非首次面临此类危机，而企业级 SaaS 因集成 AI 智能体而变得更具护城河。