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You're here because you're building something.
26 books of everything I've learned about shipping AI, meeting high-stakes moments, and the Dharmic foundations underneath. Pick my brain. Take what's useful.
Start 2026 strong. The best of what we're learning right now.
ARENA 3.0: AI Safety Fundamentals
Adopting Ralph Wiggum
Atomic Habits Workbook 2026
Generative Business Intelligence: The M365 Handbook
Generative Creative Intelligence: The Google Workspace Handbook
The Claude Code Owner's Manual
The Indian Kitchen
Understanding AI's Future
The source material. Data before wisdom.
Bhagavad Gita: The Song of God
Classical Physics: From Newton to Einstein
Raw Intelligence
The Path of Grace: A Modern Guide to Pushti Marg
Ship code. This weekend.
Agents 101
Antigravity Mastery
Backend Bootcamp
Claude Code Field Guide
Claude Code Mastery
Complete Intro to Linux and the CLI
Cursor Learning
Deep Learning Mastery Workbook
JavaScript: The New Hard Parts
Network Debugging Reference
Neural Networks: Zero to Hero
State Machines with XState v2
The Hard Parts of Servers & Node.js
The Hard Parts of UI Development
The Ultimate Guide to Next.js for Vibe Coders
TypeScript Monorepos v2
Windsurf for Data Engineering
The moment is waiting. Will you be ready?
Calm Under Pressure
Developer Productivity v2
No More Mr. Nice Guy Workbook
The AI Product Shipping Handbook
The Coding Career Handbook v2
The Self-Healing Companion
Your AI-powered production system. Work smarter, ship faster.
The Gemini Studio Playbook
This isn't just a library. It's a working demonstration of everything we teach. We dogfood our own process—and we want you to see exactly how.
I was preparing for a class—my usual routine. Research, outline, build examples. But this time something clicked. The real value wasn't in the code I was writing. It was in the data transformations.
I call this Generative Business Intelligence—using AI not just to generate content, but to transform your raw expertise into structured, teachable knowledge.
Using observability in LangSmith, I could see exactly where my process was breaking down. Token waste. Hallucinations. Inconsistent outputs. The traces told the whole story.
That visibility turned into opportunities. I didn't just fix bugs—I made the entire pipeline more reliable. Observability isn't optional. It's the difference between vibes and engineering.
The improvements compounded into something bigger: an instructional design agent that could take raw transcripts and produce structured workbooks. Not templates. Real pedagogical transformation.
We call it our data-to-wisdom pipeline. It takes our precious jewels—hard-won insights from years of learning—and turns them into a consumable API. The 26 books you see here? All generated through this process.
Here's what nobody tells you about AI products: the demo is easy. Production is where dreams go to die.
Our workflow: prototype in Claude Code, evaluate relentlessly, then make a system that passes our test for "business continuity." Our benchmark? A bus factor of 3. If I get hit by a bus tomorrow, two other people could keep this running.
We couldn't manage this whole app with just Claude Code. We needed a professional production foundation. Enter Writebook—37signals' publishing platform. It's a role model for how we want to be as a business: simple, opinionated, built to last.
Digital Ocean handles the infrastructure. Boring technology, reliable results. That's the point.
Here's my gap: I'm not a UI engineer. Handling every part of the stack—backend, frontend, design, devops—would require a football team. I'm solo.
Antigravity is what makes that possible. It's our framework for reducing complexity so one person can ship, and then hand off to an intern or rising L1 engineer when it's time to scale. The goal isn't to build something only I can maintain. It's to build something anyone can maintain.
Every tool we teach, we use. Every process we recommend, we follow. This library isn't just content—it's proof of concept.
You're not learning from someone who read about this stuff. You're learning from someone who shipped it. Today. In production. With users.
Join a live session where we unpack these concepts together.
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Weekly sessions where we build in public, ask hard questions, and hold each other accountable.
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