AI, robotics, and autonomous systems often fail in real-world deployment, not because the technology is weak, but because humans cannot reliably interpret, trust, or operate them. This session explores product design as a technical discipline in deep tech, showing how system behavior, risk, and uncertainty can be translated into actionable frameworks for engineers. Using real-world AI and robotics examples, participants will learn methods for exposing uncertainty, designing interfaces for operational reliability, and bridging prototypes into production-ready systems. The session emphasizes African deployment realities, including infrastructure constraints, energy reliability, affordability, and diverse operator skills, providing practical tools to build trustworthy, scalable, and context-aware deep tech products.