My approach to building AI systems that compound their impact over time, drawing from systems thinking, integral theory, and first principles optimization to create transformational fulcrums for global change.
Each improvement compounds with others, creating exponential rather than linear growth in impact and value delivery.
Identifying leverage points where minimal effort generates maximum systemic change, inspired by Donella Meadows' systems thinking.
Breaking down complex human capacities into their smallest components to train AI with unprecedented precision.
Designing systems where each new user makes the platform more valuable for everyone, scaling depth not just reach.
Most technology scaling follows a predictable pattern: as systems grow, they sacrifice depth for reach. This creates shallow, generalized solutions that fail to address complex, evolving human needs. For AI systems focused on human flourishing, this would mean failing their fundamental purpose.
Instead, I developed a strategic framework based on stacking functions—where each improvement compounds with others, creating exponential growth in both reach and depth of impact.
Drawing from Donella Meadows' leverage points and Robert Kegan's developmental theory, I identify transformational fulcrums—places where small, targeted interventions create outsized systemic changes.
This approach, combined with the Institute of Applied Metatheory's first principles methodology, allows for unprecedented precision in cultivating essential human capacities through AI.
Traditional network effects optimize for engagement and retention. My framework optimizes forcompounding positive impact—where each new user interaction makes the system more valuable for everyone by enhancing the AI's capacity for emotional attunement and insight.
This creates platforms that become multipliers of human potential, offering scalable solutions that empower people to develop the cognitive, emotional, and relational capacities needed to thrive in an increasingly complex world.