How to improve AI's contextual understanding coherence through prompt design?

When a prompt contains clear context boundaries, logical relationships, and background information, AI's coherence in understanding context typically improves significantly. This requires structured design to help AI identify information associations and hierarchies. Define clear context boundaries: At the beginning of the prompt, delineate the scope of discussion, such as "Based on the user需求 analysis mentioned earlier, continue to optimize product feature suggestions" to help AI lock into information associations. Establish logical relationships: Use transition words (e.g., "Additionally," "Therefore") or structural symbols (e.g., numbers, bullet points) to clearly present information hierarchy and reduce AI misunderstanding. Supplement background information: When involving professional fields or specific scenarios, briefly explain relevant premises, such as "Assuming the user is a first-time software user, avoid technical jargon when explaining operation steps," to enhance context adaptability. It is recommended to start by clarifying information hierarchy and marking context connection points, gradually optimizing the prompt structure. At the same time, observe AI feedback by testing different expressions and continuously adjust to improve coherence.