According to @godofprompt, integrating Feynman-style loops into AI prompts is emerging as a novel technique in prompt engineering. This approach involves iterative clarification and explanation cycles, inspired by Richard Feynman's learning methods, to help language models refine their understanding of complex topics. By prompting models to explain concepts, identify gaps, and re-explain until reaching clarity, AI developers and businesses can achieve more accurate and robust outputs, especially in domains requiring deep knowledge transfer and technical accuracy. This technique presents significant business opportunities in AI-powered education tools, knowledge validation systems, and advanced chatbot solutions, where accuracy and comprehension are mission-critical (source: @godofprompt, Twitter, Dec 11, 2025).