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No email, no card. Part I tells the story of how we got here; the other nineteen chapters are in the book.
Part I · The Foundation
Four unrelated events that created the AI revolution.
What models existed before Transformers — and why they weren't enough.
The paper behind every major AI model today. Google invented it. Then watched someone else ship it.
The most dramatic tech story of the decade.
Everything you need to know about what's happening inside the box. No PhD required.
One company, one bet, one ecosystem.
The current state of AI. What's changed, what it means for builders.
Part II · Building AI Agents
The number one practical skill for anyone working with AI.
The moment you give an LLM access to knowledge or tools, it becomes an agent. And that makes all the difference.
Frameworks, patterns, and how to actually build an agent that works.
When one agent isn't enough, you build a team.
The protocols, tools, and infrastructure that make agents actually useful.
Part III · AI in the Real World
The reality of running AI agents. It's nothing like the demo.
Who's building what, where the value is, and where you should build.
Coding AI isn't just another vertical. It's changing how all software gets built. Including the software that builds AI.
The rules, the risks, and the real impact.
From $60 to $0.15. A 400x reduction in four years. Here's what to do about it.
Part IV · Beyond Text
How AI learned to see and create.
The AI revolution isn't just text and images. It's sound.
The hardest modality. The most exciting one.
Part V · The Future
From teams of agents to companies run by agents.
Intelligence is becoming a utility. What happens when everyone has access to it.
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