Leading AI-Native Content Teams

One person getting great AI output is a demo. A whole team getting it, every day, on a product where mistakes are expensive, takes a system. I built that system.

I've spent more than 20 years leading content and experience design teams, most recently a 16-person team at a global payments company behind a product used by 400 million people. Every AI tool we used ran on the same standards. The first version took a week. Getting the whole team working on top of it took the better part of a year, and that's the part I teach.

The system became the Context Layer, the framework at the center of this course. I also co-wrote Agentic AI + Zero Trust, with a foreword by John Kindervag.

I’m a content design leader focused on making better ways of working actually stick. I’ve spent years building workflows, systems, and practices that help teams work more clearly and consistently across product, design, and engineering. A lot of my work sits in the messy middle between strategy and execution. Turning big ideas into something a team can actually use on Monday morning. I’ve been deeply involved in shaping AI-enabled content workflows, from shared context and reusable skills to the path from design into code. In this course, I’ll focus on what really changes when AI becomes part of how a content team works every day.

I’m a content and design leader who has spent my career helping teams connect their work to the bigger business picture. I’ve led strategy, built business cases, worked across complex organizations, and helped teams earn support for ideas that needed more than a good presentation to move forward. I care a lot about helping content leaders speak the language of product and business without losing what makes their work valuable. In this course, I’ll focus on choosing the right opportunities, measuring what changed, building a case leadership can understand, and turning a successful pilot into something the organization can support and scale.