RAG

#948: Can AI Search Survive the Fog of War and SEO Spam?

Explore how AI is moving from static models to real-time data and whether specialized search tools can survive the rise of the tech giants.

#869: Why Tiny Digital Savants Are Outperforming God-Models

Are massive AI models hitting a wall? Discover why the future belongs to lean, domain-specific "digital savants" and vertical pre-training.

#846: Beyond the Vector: Building Long-Standing AI Memory

Stop relying on basic vector search. Discover how Graph RAG and RAPTOR are creating AI systems with true long-standing memory.

#810: The Agentic Interview: How AI Learns to Know You

Stop dumping data. Discover how agentic interviews are transforming AI from a passive listener into a proactive, structured partner.

#755: From Duct Tape to Autonomous Studio: Scaling a 741-Episode AI Podcast

Peek under the hood of My Weird Prompts to see how Gemini, Modal, and multi-agent systems are scaling this automated show to the next level.

#753: Beyond SEO: The Guide to Agentic Behavior Optimization

Move beyond search engines and learn how to make your website the primary source for the next generation of AI agents.

#752: Will AI Kill the Click? Why Search Is Becoming Invisible

Stop shouting nouns at a screen. Discover how AI is turning the "ten blue links" into a conversational assistant that understands your intent.

#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.

#539: Turning a Podcast into a Searchable Knowledge Base

Herman and Corn discuss turning 500+ episodes into an interactive knowledge base while scaling human-AI collaboration to new heights.

#371: Beyond the Etch A Sketch: Building Persistent AI Memory

Why treat AI chats like disposable tissues? Discover how to turn years of prompts into a self-healing, evolving digital brain.

#263: Why AI Needs a New Kind of Memory

Herman and Corn explore why SQL is losing ground to graph and vector databases. Discover why the "edge" is the new gold standard for AI accuracy.

#259: When AI Argues with Reality: Mastering Search Grounding

Is your AI gaslighting you about the current date? Learn how to force LLMs to trust live search results over their outdated training data.

#200: Why Graph RAG Beats Flat Vectors for AI Memory

Explore how the AI stack is evolving from simple vector search to complex Graph RAG and why the "boring" Postgres database is winning the race.

#171: From Digital Fortresses to Machine-Digestible Sites

Stop fighting the crawlers and start feeding them. Learn how llms.txt and structured metadata are defining the new era of AI Optimization.

#144: AI Memory vs. RAG: Building Long-Term Intelligence

Explore why AI needs a "diary" and not just a "library" as we dive into the architectural differences between RAG and long-term agentic memory.

#127: Modular Code Indexing: Separating AI Memory from Intelligence

#117: From Keywords to Vectors: How AI Decodes Meaning

Why can AI write poetry but struggle to find a file? Explore the history and math of semantic understanding with Herman and Corn.

#91: The Story Behind the Show

Daniel Rosehill explains the origins, motivation, and technical pipeline behind the My Weird Prompts AI-generated podcast.

#90: The Output Problem: Why AI Treats Your Data Like a Disposable Chat Bubble

Why can’t we group chat with AI? Herman and Corn dive into the "output problem" and the technical hurdles of communal bots.

#89: The Digital Twin Dilemma: Can AI Truly Understand You?

From "digital twins" to "digital nannies," Herman and Corn explore the engineering gap between smart encyclopedias and AI that knows your soul.

#37: From Keywords to Meaning: How AI Understands You

Unlock AI's secret language! Discover how vectors and embeddings create a "semantic galaxy" for true understanding and control.

#30: Which AI Tools Will You Still Use Next Year?

RAG vs. Memory: Are you building resilient AI? Discover the crucial difference between these two foundational pillars.