Ordered tracks, built to be read in order.
Each series takes you from its first principles to working mastery, one episode at a time. Every series is complete, start to finish.
AI for Business Professionals
No code, no jargon: how to actually use AI at work, the tools, the prompts, the workflows, and the traps.
Open the series →AI, From Zero
The ground floor: what a language model actually is, why it works, and why it fails, explained for someone starting from nothing.
Open the series →AI Coding Tools
Agents, copilots, and autocomplete: what each tool actually does, how they think, and how to build a workflow that compounds.
Open the series →Claude Code, Mastered
The agentic coding tool, feature by feature: from first install to workflows that feel like cheating.
Open the series →MCP in Practice
The Model Context Protocol, hands on: what it standardizes, how to use servers, and how to build your own.
Open the series →Prompt Engineering That Works
Past the tips-and-tricks noise: the small set of techniques that measurably change model output, and how to know they worked.
Open the series →RAG, Properly
Why retrieval-augmented generation goes wrong in production, and the specific decisions that keep answers grounded in something real.
Open the series →AI System Design
How production AI agents actually work: the reasoning loop, memory, tools, guardrails, evaluation, and the unglamorous engineering that keeps them reliable.
Open the series →How Vision Models Work
From CLIP to diffusion to video: how machines learned to see, draw, and read the visual world.
Open the series →Inference Internals
What actually happens between hitting enter and seeing tokens: the caches, the batching, and the economics under every AI product.
Open the series →