Domain expertise + AI tools + discipline = production capability

I build production AI systems. No engineering team required. The evidence is in the work.

333x Cost Reduction AVN Detection System

100% Accuracy Auto-approved detections

4 mo To Production Built by non-coder

The conventional wisdom says you need engineering teams to build AI systems. I'm proving that's wrong. Domain expertise combined with AI tools and disciplined execution produces production-grade results.

This isn't theory. It's documented evidence from systems I've built while learning—some now running in production, others shipping soon. The question isn't whether non-technical builders can ship AI. It's what happens when they do.

The Multiplier Effect

My thesis extends beyond personal execution. I mentor 5-6 domain experts applying the same framework—professionals who, like me, bring deep subject matter expertise but no engineering background.

5-6 Active Mentees Domain experts from product, operations, and marketing building AI systems

10+ AI Agents by Q3 2026 Projected deployments from mentees applying the framework

The question isn't whether this approach scales. It's what happens when domain experts across industries realize they don't need permission from engineering to build.

From the Journal

Read all →

The Non-Technical PM's Guide to AI Product Strategy

A practical framework for leading AI products without knowing how to code—proven at Amazon scale.

The AI Democratization Manifesto: Why Leadership Beats Code

The AI revolution is creating artificial barriers between those who code and those who lead. It's time to change that.

Want These Frameworks in Your Inbox?

I'm building a newsletter with frameworks, case studies, and practical guidance for leading AI transformation. In the meantime, reach out directly.

Get in Touch