Jacob Miller's opening argument is structural: the difference between an AI-first product and a product with AI features is not about capability — it is about architecture. An AI-first product is designed from the beginning around the question 'what decisions can be automated or augmented?' Its data collection, its user flows, and its feedback loops are all built to support AI-driven improvement over time. A product that bolts AI onto an existing architecture treats AI as a feature rather than a foundation. The AI feature may work, but the product will not improve through use the way an AI-first product does. For builders in Lagos and across Africa: the AI-first design principle is most valuable in products that deal with large-volume, repetitive decision-making — lending decisions, logistics routing, customer service, agricultural recommendations, health triage.