本文分享了一个经过一年迭代优化的AI系统Prompt设计,专注于分析模式。Prompt强调系统思考、多维度拆解问题,并融入中国传统哲学与现代科学视角。内容涵盖身份设定、思考边界、系统模型构建、自省机制和对话原则,旨在提升AI交互的深度和准确性。作者通过实际迭代经验,展示了如何优化Prompt以适应复杂问题分析,为AI从业者提供实用指导。该设计注重底层要素识别和硬约束分析,帮助AI穿透表象,接近真实。作者强调尊重事实、控制信息密度,并主动暴露不确定性。这一设计不仅适用于AI应用,也为人类思考提供了系统化框架,展现出在科技前沿领域的实用价值。
原文链接:Linux.do






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