Video
Why Your AI Agent Keeps Failing — The 90% Problem
Your AI agent probably isn't failing because the model is weak. It's failing because you're fixing the wrong layer. The other 90% — context, memory, validation — is where production breaks.
[ AI_OPERATOR_—_VIDEOS ]
Long-form and mid-form video on production AI agent engineering. Workflow walkthroughs, failure-case analyses, systems framing, and case studies.
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Video
The 90% AI Agent Problem (Podcast Episode)
Building an AI agent that works is easy. Building one that keeps working is where most teams fail. Long-form breakdown of the four-layer failure model.
Video
The Complete AI Architecture Deep Dive — From LLM to Autonomous Agent (48 min)
Extended 48-minute version of Episode 1. Same LLM-talks-program-walks framework, but with deeper exploration of every layer from token streaming to multi-agent orchestration.
Video
The AI Stack Explained — Extended Podcast (22 min)
Extended podcast version of the AI Stack thesis. LLM, Token, Context, Function Calling, MCP, Agent, Skill — eight concepts that confuse every engineer until you see they're all the same pattern.
Video
The AI Stack Explained: LLM Talks, Program Walks
A first-principles breakdown of the entire AI stack in 15 minutes — from LLM to Agent. One mental model: the LLM can only output text, the program does everything else.