I'm releasing "Production-Grade Agentic AI" chapter-by-chapter on LeanPub, starting today. It's 40% done (over 200 pages), and you can read it as I write it.

Here's why I'm doing this – and why you might want to join early.

The Problem I Keep Seeing

If you've tried deploying AI agents to production, you know the pattern.

The demo works beautifully. You chain together some prompts, hook up a few tools, show it to stakeholders. Everyone's excited.

Then you try to scale it. And it collapses.

The problem isn't the models. Claude, GPT-5, Gemini – they're incredible.

The problem is nobody's teaching the infrastructure side. The memory management. The orchestration. The observability. The deployment patterns that make the difference between "cool demo" and "system that actually works."

We're all making the same mistakes because that institutional knowledge doesn't exist yet.

So I'm Writing That Book

I've spent 30+ years building production systems that scale – across finance, data infrastructure, and AI deployment. My open-source libraries get 10+ million downloads a month. I've been in the trenches building systems that have to work when money's on the line.

Over the past few years, I've been building agentic AI systems. Hitting the same walls everyone else hits. Figuring out what actually works in production.

"Production-Grade Agentic AI" is everything I wish existed when I started. A comprehensive, ~600-page guide covering:

  • What actually makes systems "agentic" (the three pillars most systems are missing)
  • Memory systems that scale beyond toy examples
  • Orchestration that handles real-world failures
  • Observability that shows you what agents are thinking
  • Deployment patterns with automatic failover
  • Multi-model infrastructure to avoid vendor lock-in
  • Real production examples, not just demos

This isn't vendor documentation. These are universal architecture patterns that work regardless of which LLM you're using.

Why I'm Publishing While Writing

Traditional publishing doesn't work for technical content that's evolving this fast. By the time a book goes through the full cycle, half the content is outdated.

More importantly: I want your feedback while I can still incorporate it.

Your questions. Your confusion. Your "this doesn't make sense" moments. Your production war stories. They make the book better – not just for you, but for everyone who reads it after.

So I'm writing in public. Releasing chapters as I finish them. Building this with the community, not in isolation.

Read It Now

The book is available today on LeanPub at founder pricing: $5 minimum (pay what you want).

Current status: 40% complete, over 200 pages already available

Timeline: Complete by November 22, 2024

Pricing: Increases every two weeks as content is added

  • Now - Oct 24: $4.99+ (Founder Tier)
  • Oct 25 - Nov 7: $9.99+ (Early Access)
  • Nov 8 - Nov 21: $14.99+ (Pre-Launch)
  • Nov 22 - Dec 5: $49.99 (Launch Week – covers Black Friday)
  • Dec 6+: $79.99 (Standard Price)

Early readers also get access to a private GitHub repository with code examples, production templates, and community discussions.

Get early access on LeanPub →

A hardcover edition will be available on Amazon for those who prefer physical books.

Who This Is For

Engineers, architects, and technical leads building AI systems beyond the prototype stage.

If you're tired of agents that work in demos but break in production – if you want to understand the infrastructure that makes agentic systems reliable at scale – this is for you.

The teams that figure this out first will have a massive advantage.

Let's Build This Together

We're figuring out production agentic AI together. Not from ivory tower research, but from the trenches of building systems that have to work.

Your experience matters. Your perspective matters.

Let's build agents that actually work in production.

Join the early access →

Key changes:

  1. Opens with the announcement as the lead
  2. Explains the "why now" and "why this format"
  3. Emphasizes the collaborative aspect
  4. Makes the pricing and timeline more prominent
  5. Stronger call-to-action throughout
  6. Shorter, more scannable

Want me to adjust the tone or emphasis?