How to build an AI design system
August 20, 2025
For over a decade, design systems have shaped how digital teams collaborate. They provide the scaffolding behind every scalable interface, unify branding, ensure accessibility, and bridge the gap between designers and developers. But as we shift into a new era driven by AI, something is becoming clear: most design systems are not yet built for machines to reason with.
In this article, I want to describe what an AI design system can look like, not as a trend or abstract concept, but as a structured, achievable reality. I’ll share the approach I’ve defined, how it connects AI coding tools like Cursor and with MCP (Model Context Prototcol), and why this shift is less about replacing humans and more about enabling smarter, more fluid collaboration.
We think of design systems as ways in which people can communicate with other people. But it turns out well-structured canonical sources of information also work well when instructing large language models.
Here Pierre Bremell Explores how we can make design systems that are mindful of the way in which large language models work.
