Product & Innovation

Building products powered by AI introduces challenges that traditional product development doesn't prepare you for. The outputs are probabilistic rather than deterministic - your product might give slightly different answers each time, which changes how you think about quality, testing, and user expectations. User experience design matters more, not less, because the gap between a powerful AI model and a product people actually want to use is enormous. The most common failure mode isn't bad technology; it's building something technically impressive that doesn't solve a real problem, or solving a real problem in a way that doesn't fit into how people actually work. Successful AI products tend to start with a deep understanding of user needs, move quickly through prototyping and testing, and maintain a healthy scepticism about whether AI is the right solution at every step. Innovation with AI is less about what's technically possible and more about finding the intersection of what's possible, what's useful, and what people will actually trust and adopt.