#prompt-engineering
18 episodes
#874: From Vibes to Engineering: Mastering JSON Schema for AI
Stop begging your AI for clean data. Learn how JSON schema turns unreliable LLM responses into strict, predictable software components.
#848: Do Algorithms Deserve Rights? The Gemini 3.5 Debate
Are AI models just advanced mirrors, or do they deserve moral consideration? Explore the evolving debate over AI rights and digital consciousness.
#809: Beyond the Prompt: The Shift to AI Context Engineering
Is prompt engineering still magic, or just plumbing? Explore why the field is shifting toward context engineering and systematic evaluation.
#678: Beyond the Code: Redefining Open Source in 2026
Herman and Corn explore why "open source" in 2026 requires more than just code, from AI prompts to documentation and intellectual property.
#665: Inside the Stack: The Hidden Layers of Every AI Prompt
Ever wonder what happens after you hit enter? Discover the hidden "stack" of instructions and memories shaping every AI response.
#598: Audio Engineering as Prompt Engineering: Better Sound, Better AI
Can better audio quality actually make an AI smarter? Discover how audio post-production functions as a new form of prompt engineering.
#553: The SITREP Method: AI-Powered Intelligence Briefing
Learn how to transform chaotic news cycles into high-protein intelligence using AI and the "Bottom Line Up Front" method for security reporting.
#155: Building an Ideation Factory: Beyond Generic AI Ideas
Learn how to overcome AI repetition and build a multi-agent "ideation factory" to solve complex local economic challenges.
#129: Beyond the Prompt: The Rise of Outcome Architecture
Is prompt engineering a dying art? Herman and Corn explore why the future of AI lies in context, domain expertise, and outcome architecture.
#128: AI’s Dial-Up Era: Looking Back from 2036
Herman and Corn explore why today's AI prompts and latency will look like "dial-up modems" to our future selves in 2036.
#116: The Science of Lazy Prompting: Why AI Still Gets You
Ever wonder why AI understands your messy typos? Explore how models "denoise" chaotic input through tokenization and semantic context.
#108: The Mystery of Model Rot: Why Your AI Code Assistant Changes
Why do AI models lose their edge over time? Herman and Corn explore the "home team advantage" and why telling your AI to "do better" actually works.
#100: AI as a Mirror: Mapping Your Philosophical Identity
Can AI help you discover who you are? Herman and Corn explore how LLMs can map your personal philosophy and offer curated reading lists.
#62: System Prompts vs Fine-Tuning: When to Actually Train Your AI
Prompt or fine-tune? We break down when to train your AI, from Shakespearean emails to law firm docs. Avoid unnecessary fine-tuning!
#60: Single-Turn AI: The Interface Pattern Nobody's Talking About
Forget chatbots. Discover the hidden power of single-turn AI interfaces and how they're quietly reshaping how businesses integrate AI.
#52: System Prompts vs. Fine-Tuning: Are We Building Solutions for Problems That Don't Exist?
Are we over-engineering AI solutions? We dive into system prompts vs. fine-tuning and ask: Do you even need to fine-tune?
#46: Pixels, Prompts & Pseudo-Text: AI's Word Problem
AI paints stunning images, but can't spell "cat." Why do advanced models struggle with simple text? Dive into AI's weird word problem!
#31: ComfyUI: Power, Polish, & The AI Creator's Frontier
ComfyUI: Unlocking AI's true power, but is your rig ready? Dive into the future of digital artistry.