About
We are technology executives who do this work every day, not full-time trainers, so the workshop carries the same constraints your team lives with: production standards, team adoption, review quality, governance, and measurable outcomes. As official Codex ambassadors, we work alongside the Codex team while applying these tools on real codebases ourselves — so what we teach holds up the day after the session.
We have run numerous public events and private team programs worldwide, delivering hands-on Codex CLI training, AI coding workshops, and agentic development training for engineering and product teams. Those programs have helped organizations move from scattered AI experiments to shared workflows for planning, code review, team adoption, and production-ready delivery.
What is the Delegate, Review, Own framework?
The Delegate, Review, Own framework is a boundary model that sorts every AI-assisted coding task into three levels of human control. The boundary, not the tool, is what teams learn.
- Delegate means the AI handles the task end to end: boilerplate, migrations, test scaffolding, docstrings.
- Review means the AI proposes and a developer decides: bug fixes, refactors, performance tweaks.
- Own means humans stay hands-on: core architecture, security choices, business logic.
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