Designing AI-first interfaces requires a focus on the underlying user experience rather than just the visual elements. The Iceberg UX model emphasizes the importance of addressing the invisible layers of user experience, such as error handling and trust-building mechanisms, to ensure that AI products are reliable and user-friendly. By prioritizing these aspects, teams can create AI systems that users feel confident interacting with, even when faced with uncertainties.

Designers are faced with significant challenges in creating user-friendly AI interfaces, particularly in breaking traditional UX patterns, managing cognitive overload with prompts, ensuring explainability, and addressing issues like hallucination and bias. Solutions include integrating existing workflows, providing transparency to build trust, and creatively managing latency in AI responses. The focus is on leveraging traditional design principles to enhance the user experience in the evolving landscape of generative AI.