When you look closely, the workflow of machine learning isn’t that different from how we design for users. It starts with collecting data, understanding context, behavior, and intent. Then comes training the model; refining, testing, and learning through iteration. If it fails, it’s retrained again and again… until it starts to make sense. Only then is it deployed, observed in the real world, and improved through feedback loops. That’s the design process too. We gather insights, build, test, iterate, and release, always learning from users to make the next version better. AI’s intelligence isn’t magic. It’s the outcome of observation, refinement, and iteration, the same values at the heart of great design. #ProductDesign #AI #MachineLearning #UXDesign #DesignThinking #Iteration