Stanford's Practical Guide to 10x Your AI Productivity | Jeremy Utley

Jeremy Utley, a creativity expert and AI specialist, discusses techniques for effectively using AI, framing AI as "bad software but good people," akin to an eager intern. He introduces "context engineering," which involves providing AI with comprehensive information to achieve desired outputs, and emphasizes the importance of making implicit assumptions explicit. Utley also covers "chain of thought reasoning," where AI explains its thought process step-by-step to improve output quality, and "few-shot prompting," which uses examples to guide AI. Additionally, he details "reverse prompting," where AI asks for necessary information, and assigning roles to focus AI's knowledge. Utley shares a practical example of using AI for role-playing difficult conversations, highlighting its potential to provide contextual preparation and feedback. He concludes that the best AI users are coaches and teachers who can unleash human imagination, expanding the adjacent possible in innovation.