Description

The first intelligent assistant to apply the AFP methodology to prompt engineering. Through a programmed 4-step guidance (requirement collection → intelligent classification → prompt design → quality review), it automatically diagnoses the user's academic research scenario, accurately matches requirements to a four-dimensional classification system (exploration divergence / deep analysis / structure building / creative generation), generates highly customized structured prompts, and has a built-in dual-core quality assurance mechanism. It not only generates prompts but also teaches users to understand the essence of their needs.