Designing AI products requires a focus on user needs rather than just pixel-perfect designs. Key strategies for effective AI storyboarding include starting with user intent, testing storyboards with users, and collaborating with data science teams to ensure systems align with real human outcomes. Avoid common pitfalls like neglecting the AI handoff moment and relying solely on static wireframes.

The article explores the principles and strategies involved in designing AI-centric products, emphasizing the importance of user experience, ethical considerations, and iterative design processes. It highlights the necessity for collaboration between designers and developers to create effective AI applications that meet user needs and expectations.