This article details a framework for creating design systems that AI tools like Cursor can interpret and execute. It moves beyond static asset libraries by establishing a layered structure consisting of specific prompts, mandatory rules, and detailed instructions. By utilizing Model Context Protocols, the system connects design files, technical documentation, and codebases into a single, cohesive environment. This transformation turns a traditional design system into a living, machine-readable framework that allows AI to follow design logic instead of guessing intent.
This approach helps design teams streamline the handoff process by automating the generation of production-ready prototypes from Figma or documentation. It ensures that AI-generated outputs remain technically accurate and brand-compliant through automated verification and approval checkpoints. Designers can use this workflow to rebuild existing interfaces from screenshots or even observed user journeys. Ultimately, it reduces manual translation errors and allows teams to maintain a single source of truth that is accessible to both humans and machines.
