Most “AI for product management” amounts to automating the work you already do. This class starts somewhere else. You’ll build a deep, working grasp of the Constructor — the role in a complex adaptive product line that holds congruency (reading the system for fit) and assemblage (building it forward) as one continuous motion. Then you’ll see that role operationalized with agentic AI.
Using ConstructorOne™ as a worked example, we show how a team of AI agents runs inside the product line’s Accelerating Learning Loop — sensing fit, surfacing risk, holding portfolio memory, and shortening lap time — under real enterprise conditions. The point is not a faster version of the old operating model. It’s a different operating model — and the reason AI becomes genuinely transformative rather than merely efficient.
You’ll leave knowing where, specifically, to point AI and AI agents in a large organization: what to change, what to stop doing, and what only a Constructor-shaped operating model makes possible.