MCP
Design Systems

Machine-Readable Design Systems for MCP and LLMs

Live
30 MIN + Q&A

About this Session

As LLMs and MCPs enter the product design world, a systems gap surfaces: Design systems today are built for humans, not machines.

This talk explores design systems as machine-readable infrastructure that both humans and AI can understand, maintain, and build upon. I'll share findings from an 8-configuration MCP benchmark that tested the impact of metadata format on LLM reasoning, as well as the most effective metadata architecture that emerged from it.

From my talk, you will learn:

  • How to design a metadata architecture for MCPs and LLMs
  • How machine-readable design systems enable high-quality AI-generated prototypes
  • How structured constraints enable controlled context changes without relying on fragile prompts
  • What we learned from benchmarking 8 MCP configurations to define "quality input" for LLM reasoning

Who is this for?

Design system designers, design technologists, frontend engineers, and product teams working towards AI-driven design systems.

Presented by:

Diana Wolosin, Sr. Design System Designer at Indeed, speaker at Into Design Systems Conference

Diana Wolosin

she/her

Sr. Design System Designer

Indeed

Diana Wolosin is a Senior Design Systems Designer at Indeed with 10 years of experience building systems that scale. Currently focused on building machine-readable design systems as AI infrastructure, with emphasis on evaluation frameworks and context governance. She leads Friends of Figma San Diego, and writes about AI-ready design systems on Medium. A proud Colombian, dog mom to Whiskey and Havannah, and happiest outdoors or hunting for good food.

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You'll learn:

How the Spotify Design System team built their MCP
Best practices for prompting in Cursor so AI generates the design you expect
How to work with context-based Design Systems and helpful plugins
Machine-Readable Design Systems for MCP and LLMs | Into Design Systems Conference 2026