How can prompts influence an AI's organization of the logical hierarchy of content?

When prompts contain clear structural instructions, hierarchical markers, or logical relationship guides, AI can usually organize the logical hierarchy of content more accurately. Structural instructions: Explicitly require AI to use frameworks such as total-subordinate structure, point-by-point discussion, or chronological order, for example, "Please organize the following content using the 'problem-cause-solution' structure", to help AI establish a basic logical framework. Hierarchical markers: Indicate the primary and secondary relationships of content through numbers, bullet points, or title levels (such as "1. Core观点" [Core观点 should be "Core Viewpoint" here, but keeping original as per possible context? Wait, no, the user wants full English. So correct: "1. Core Viewpoint", "1.1 Specific Cases"), suitable for hierarchical presentation of complex information. Logical relationship prompts: Use conjunctions such as "first/second/finally", "therefore/however" to guide AI to identify causal, parallel, or转折 (transitional) relationships, enhancing the coherence of the content. When optimizing prompts, you can first list the core modules of the content (such as background, arguments, cases), and then use concise instructions to guide AI to logically connect them, which helps improve the accuracy of content organization.