I give them the roadmap they've been looking for.
Why now
Your competition is learning AI. They’re shipping in days what used to take months, and the gap widens every week. The move is to get ahead of that curve before you spend the next two years playing catch-up.
What you’ll learn
First, you learn coding agents deeply enough to work faster across everything you do. Then you learn the rules and principles to work so your time goes only to the parts that need a human.
Learning coding agents from first principles and the safe practices that keep you out of trouble. That understanding holds up across tools and tasks, and doesn’t expire when the tooling changes.
You build the automations that take routine work off your plate in a robust manner. From workflow automations, review automations, prototype automations (a software factory), and automations specialized to your industry. What’s left is the work that actually needs a human.
The curriculum
AI has real depth as a skill, yet people don't treat it that way due to the approachable interface, and they pay the technical debt down the line. MACHINE is the seven-pillar, first-principles framework I teach AI through. It is designed to be provider agnostic for when the tools change.
How to plan and scope work with agents.
How to create AI agents and orchestrate them to do work.
How to optimize what is in the model’s active memory.
How to understand Claude Code and build robust automations.
Knowing how AI works and the failure patterns, so you can prevent them before they happen.
How to prompt engineer effectively.
How traditional engineering mixes in with AI.
How I engage
Engagements typically run six to twelve weeks, cohort-style and high-touch. Tailored material, live application sessions, and Q&A, structured as a hands-on program so the team applies it to their own workflows and sees it working quickly, instead of figuring it out alone.
Proof
Direct testimonial
“Our team was absorbed in a merger. Everyone left and I was the only one still there, training their replacements. AI was the only way I could carry the team’s workload while the new hires came up to speed. When I started working with Roman, my output went roughly 5x. I ran my first internal AI workshop using his frameworks, and 50 people showed up. Now I’m building a fully automated PR-review pipeline so I can stop spending my day monitoring my team’s output.”
Engagement outcomes
Way2b1 · Fintech software startup
Trained the DevOps department. Within the first month, the engagement produced a normalized onboarding and understanding of Claude Code, a standardized LLM-friendly codebase, a 2x increase in productivity with agents, and fully automated ticket-to-PR pipelines in production.
Meistro.ai · John Stern, co-founder & CIO
Shipped a production synthetic fault-detection system during our engagement. 30-year CIO, formerly at Take-Two Interactive (1,200-developer org), Deloitte, and Google Cloud Healthcare AI; Fortium partner. Available as a named reference on request.
Who
I’m Roman Colman. I worked at Los Alamos National Laboratory in AI research. I have three published papers, including an IEEE publication and a NeurIPS spotlight, which is a top 3% paper at the world’s premier AI conference. I’ve put over three thousand hours into Claude Code, and I turned that obsession into The Agentic Lab: a community and movement with thousands of members.
I spend much of my time scaling my business using Claude Code for development of internal tools and automations, marketing, outreach, and research. The other large portion of my time is spent helping The Trajectory Engineers, a cohort of real business owners and software developers building real businesses and software with coding agents.
