The proof is BettyOS — a production AI operating system running 250+ tasks a day, monitoring 5 mailboxes, processing tenders, and operating for ~$10/day. I built it. I run it. I'll teach you to build yours.
This isn't a demo. This is a production system running real business workflows. Every course I teach is based on this architecture.
BettyOS reads inbound emails, classifies intent, processes tenders, checks compliance, files documents, manages subcontractor comms, monitors job progress, and alerts the human operator only when it hits an edge case. Every action is logged. Every decision is traceable. It replaces 2 staff positions for the cost of a sandwich run.
Every program teaches the architecture and patterns proven in BettyOS. No theory. No fluff. What works in production.
Build your own AI operating system from scratch. Architecture, agents, governance, deployment — the full stack used in BettyOS.
Automate the paperwork that kills your day. Tender ingestion, qualification, response drafting — the exact workflow BettyOS runs.
Deploy AI agents that do real operational work. Skills, tools, cron, multi-agent coordination — the framework BettyOS runs on.
Make your AI accountable, auditable, and reliable. Not a black box — a governed system with audit trails, drift detection, and human-in-the-loop.
Your inbox runs your business. Automated triage, response, filing, and action tracking — the pattern BettyOS uses across 5 mailboxes.
The full BettyOS stack tailored for construction. Tenders, document governance, compliance tracking, email ops, subcontractor management.
The architecture diagram, design principles, and real output samples from BettyOS. Your first look inside a production AI operating system.
The same path I took building BettyOS, packaged so you can follow it.
Understand how production AI systems are structured — not demos, but governed, auditable systems that handle real business workflows.
Follow the step-by-step curriculum to build your own AI operating system. Templates, blueprints, scripts included.
Put it in production. Monitor, govern, improve. Every course comes with deployment patterns and governance frameworks.
I've spent 35 years in construction and 30 years building software. I built BettyOS because I was inside the operational pressure and knew exactly what needed automating.
I'm not a consultant who read a book on AI. I'm a builder who's been running the business side of construction since 1988 and writing code since the mid-90s. The AI systems I teach are the ones I deploy.
Every course is based on real production systems running right now. Not slides. Not theory. Working code.
Full About →Start with the free Betty Blueprint Preview and see what a production AI operating system looks like inside.