According to @godofprompt, a structured Feynman-style prompt helps users learn any topic faster by guiding them through a loop of simplify, identify gaps, question assumptions, refine, apply, and compress into a teachable snapshot, as reported by the original tweet on April 15, 2026. According to the tweet content, the prompt prescribes a seven-step workflow that includes a clean analogy, confusion checks, 3–5 diagnostic questions, two to three refinement cycles, an application test, and a final teaching snapshot. As reported by the tweet, the framework emphasizes no jargon early on, defining technical terms simply, and using analogies in every pass, which aligns with best practices in AI tutoring prompts for higher engagement and better knowledge retention. For AI businesses, this prompt can be operationalized into chatbots or learning assistants that increase session completion and perceived value in edtech products, according to the process outlined in the tweet.