Sam Alexander

How to Keep AI-Generated Products Aligned with Your Design System

AI can generate polished interfaces in minutes. But an interface can look right while quietly departing from your design system, using the wrong components, ignoring tokens, inventing new patterns or introducing accessibility issues. As AI-generated work spreads across teams, these small inconsistencies can quickly create significant rework and risk. In this hands-on workshop you’ll learn how to evaluate whether AI-generated products are actually using your design system. Using a public design system and a set of realistic product tasks, you’ll generate interfaces, examine the decisions made by the AI and measure how consistently it follows the system. You’ll then use those findings to identify gaps in documentation, uncover missing components and distinguish acceptable exceptions from problems that need to be addressed. Rather than relying on whether an interface looks right, you’ll leave with a practical way to measure quality and continuously improve how AI works with your design system. By the end of the workshop, you’ll be able to: - Create realistic tests for evaluating AI-generated interfaces against a design system - Measure whether AI is correctly using your components, tokens and established patterns - Identify hidden inconsistencies that could create rework, accessibility issues or compliance risks - Use the results to improve design-system documentation and uncover missing components - Establish quality thresholds and a repeatable feedback loop for AI-generated product work