What is interface optimization?

Interface optimization is a concept in personal epistemology: Optimize how agents connect and hand off to each other, not just how each agent performs in isolation.

Example: You have a morning system: wake up, journal, exercise, shower, eat, commute. Each component works reasonably well in isolation. But the transitions between them hemorrhage time and energy. You finish journaling and spend eight minutes deciding what workout to do. You finish exercising and scroll your phone for twelve minutes before showering. You eat breakfast while half-reading email, which means breakfast takes twice as long and the emails get half-processed. The total system takes three hours even though the components sum to ninety minutes. The integration tax — the cost of transitions between agents — exceeds the execution cost of several individual agents. Now you optimize the integrations: you write tomorrow's workout in the margin of tonight's journal entry (eliminating the morning decision), you place your towel on the bathroom door before exercising (creating a physical trigger for the next step), you eat breakfast with your phone in another room (removing the competing process). The components did not change. The connections between them did. The system now takes two hours. You recovered sixty minutes not by making any single agent faster, but by reducing what each handoff costs.

This concept is part of Phase 29 (Agent Optimization) in the How to Think curriculum, which builds the epistemic infrastructure for agent optimization.