In this episode, we unpack the groundbreaking prompt engineering catalog from White et al. (2023), revealing how structured prompt patterns can supercharge your interactions with LLMs like ChatGPT. We dive into game-changing techniques like the Output Automator, which generates Python scripts to automate file creation, and the Persona Pattern, turning AI into a laser-focused security reviewer. From dodging factual “hallucinations” with the Fact Check List to flipping interactions so AI asks you questions, we explore the signals that could unlock new AI paradigms, or leave you stuck with generic outputs.We break down the five key pattern categories, Output Customization, Error Identification, Prompt Improvement, Interaction, and Context Control; and how they solve real-world problems like automating software tasks or refining complex queries.
You’ll learn why combining patterns like Cognitive Verifier with Question Refinement boosts accuracy, how to sidestep misuse risks with patterns like Refusal Breaker, and what makes prompts a form of programming. From crafting visualizations to resetting AI context, this episode equips you with the playbook to engineer smarter AI interactions and dominate in 2025’s tech landscape.
Whether you’re a developer, founder, or just chasing AI’s potential, this episode exposes the prompt strategies that could redefine your workflow or leave you behind.