Artificial Intelligence
Episodes whose main subject is AI itself: building with, training, evaluating, or debating AI systems. AI used only as a tool for another topic goes to that topic.
#1939: API Drift and Agent Reliability
When an API changes without warning, your AI agent can crash spectacularly. Here's how to test the new "plumbing" of the agentic age.
#1935: The Charger Graveyard: How to Avoid Buying a Fire Hazard
Stop plugging in mystery chargers! Learn how to spot safe, smart chargers that won't fry your batteries—or your house.
#1932: How Do You QA a Probabilistic System?
LLMs break traditional testing. Here’s the 3-pillar toolkit teams use to catch hallucinations and garbage outputs at scale.
#1931: Where Your AI Pipeline Actually Dies
Why do AI pipelines crash? It’s not the models—it’s the plumbing. We break down how to manage data between stages.
#1930: The Agent Identity Crisis: Workflow vs. Conversation
One automates invoices silently; the other chats in Slack. Why the industry's favorite word means two totally different things.
#1929: From Vibe Checks to Model Metrics
We stopped "vibe-checking" our AI scripts and built a science fair for models. Here's how we grade them.
#1928: Why Webhook Gateways Beat Direct Wiring
Unscale your chaos: Why Kong beats manual webhook sprawl for auth, routing, and latency.
#1926: How We Built a 2,000-Episode AI Podcast Engine
We pulled back the curtain on the tech stack behind our 1,858th episode. From Gemini to LangGraph, here’s how we automate quality.
#1923: Scaling Prosumer Automation to Enterprise
Prosumer tools like n8n break at scale. Here's why durable execution frameworks like Temporal and Prefect are the enterprise upgrade.
#1922: From Plumber to Urban Planner: AI Agent Careers
The job titles are changing from "Zapier Expert" to "Cognitive Architect."
#1919: Android Dev Without Android Studio: Is It Actually Good?
How to ship an Android app without ever opening Android Studio or touching a line of Java.
#1918: When Server Updates Break Your AI Agents
When a third-party MCP server updates its schema, your AI agents can crash. Here's how to build resilient clients that self-heal.
#1914: Google Invented RAG's Secret Sauce
Before LLMs, Google solved the "hallucination" problem with a two-stage trick that's making a huge comeback.
#1913: AI Context Windows Are Junk Drawers
Stop paying for old messages. Here's how to keep your AI sessions clean and on-topic.
#1909: The Unbakeable Cake: AI's Copyright Problem
Why can't we just delete stolen data from AI models? It's not a database—it's a baked cake.
#1908: The Web's New Bouncer: When to Block AI Bots
AI bots are crawling the web like a bank heist. Are Cloudflare's new controls protecting your content, or just helping Google?
#1907: Why We Still Fine-Tune in 2026
Despite million-token context windows, fine-tuning remains essential. Here’s why behavior, not just facts, matters.
#1906: Is Your AI Model Agentic-Ready or Just Wearing a Suit?
Native tool calling is the difference between a working product and a debugging nightmare.
#1905: How VCs Verify AI Startups Without Stealing Code
From the "No-NDA Paradox" to AWS bill forensics, here’s how investors separate real AI from Raspberry Pis in fancy cases.
#1903: The Streaming vs. Disc Quality Trade-Off
Streaming 4K movies hits 25 Mbps, while Blu-rays push 100 Mbps. Here’s why your shadows look gray and your audio lacks punch.