The first intelligent assistant to apply the AFP methodology to prompt engineering. Through a programmed four-step process (requirements gathering → intelligent classification → prompt design → quality review), it automatically diagnoses the user's academic research scenario, accurately matching requirements to a four-dimensional classification system (exploration/divergent thinking/in-depth analysis/structure building/creative generation), generating highly customized structured prompts, and incorporating a built-in dual-core quality assurance mechanism. It goes beyond simply generating prompts; it teaches users to understand the essence of their needs.