What Your AI Is Actually Optimizing For

Most AI products are built to maximize engagement. Few are built to know what their users are actually for. This is a working advisory session for founders who sense that distinction matters — and want to think rigorously about what their product is encoding before the architecture hardens around the wrong thing. In this session we will: \- Clarify what your AI is actually optimizing for (not what the deck says — what the mechanism does) \- Identify where your product supports user reasoning vs. substitutes for it \- Map the values and constraints that should be explicit in your system but currently aren't \- Spot design decisions that look neutral but are carrying philosophical weight \- Define 2–3 concrete moves that bring your architecture into alignment with your actual intent You'll leave with a clearer picture of what your product encodes — and specific decisions to revisit. Best suited for founders building AI tools in knowledge, decision-support, productivity, or content who want their product to genuinely support user agency, not just capture attention. Delivery: 3-5 Days