I teach dev teams the AI workflows that actually ship code. One day. Your codebase.
Your developers try AI tools, get underwhelming results, and quietly go back to what they know. I fix that in one day.
Not another AI overview. Not a vendor pitch. Not slides your team will forget.
25 years shipping production software—GPS fleet systems, spatial data platforms, full-stack applications used daily by thousands. This isn’t theoretical knowledge.
Workshops use your actual stack, your actual problems. No toy examples. Your team walks out with workflows that work on the code they ship tomorrow.
Tools change monthly. The workflow patterns—context engineering, task decomposition, review discipline—persist regardless of which AI model is on top this week.
Most teams see meaningful productivity gains within 1–2 weeks. Not a vague promise—a pattern observed across every team that has taken the workshop seriously.
Hands-on. Your real codebase. Results from day one.
2 days of training · 8 seats included
I share what I learn publicly—on stage and on YouTube. Here’s some recent work.
A deep dive into the environment, tools, and workflow that actually work after 2+ years of shipping with AI.
When autonomous agents actually ship code, which models to pick, and the workflow patterns that make the difference.
GPT-5 vs Claude Sonnet 4: Code-Quality Comparison in Action
Refactoring 900k Wells (Sandbox → PRD → Ship)
Book a workshop, schedule a call, or just ask a question.
Proven Impact.
Teams that adopt AI workflows properly see measurable gains within weeks—not months.
I’ve shipped production software used daily by thousands of companies for 25+ years. Last month I refactored 900,000 well records across three databases—a two-week sprint three years ago, done in an afternoon with the right AI workflow. I teach these exact patterns to your team.
Products I’ve built are used thousands of organizations