Bradly Zavakos explores the evolving role of product design in the context of artificial intelligence. He reflects on how AI is reshaping the way designers think about their work, particularly in areas like feedback, intent, and learning. The article emphasizes that product design isn't just about creating interfaces; it requires a deep understanding of technology and business metrics. As designers, we need to think in systems, using insights from AI concepts such as training corpus and gradients to improve our processes. Zavakos highlights the importance of data in both AI and design. He distinguishes between qualitative data (what people say) and quantitative data (what they do). By drawing parallels between user feedback and how AI systems learn from data, he illustrates how product designers can optimize user experiences. For instance, he discusses how adjusting a problematic form field can mirror how AI tweaks its parameters to enhance performance. This approach underscores the necessity of ongoing feedback loops to ensure designs are grounded in actual user behavior and not just internal assumptions. The article argues for a shift in mindset, encouraging designers to see their work as part of a larger system that learns and adapts. By adopting AI's feedback mechanisms, designers can refine their strategies and create more effective user experiences. Zavakos makes a strong case for integrating these AI principles into the design process to bridge the gap between traditional design thinking and the demands of future technology.