Érica Menin Design Systems + AI Workflows

Your design system has a new reader.

It doesn't read between the lines. It reads your tokens, your rules, your docs, and guesses where context is missing.
This is where I work: turning hidden system knowledge into clearer rules, docs, and workflows.

Available for new work Remote · based in Germany

AI + Design Systems

A design system built only for people is easy for AI to get wrong.

Beautiful storytelling, visual examples, and decisions left between the lines all leave space for guesses. And guesses make messes.

We don’t have all the answers yet. But one thing is clear: we have to be more intentional. Straightforward rules, README files, component guidance in code, design contracts, you name it.

The format matters less than the intent: we can’t ignore how machines read the system and just hope pray they make the right decisions.

rule
Make design system decisions explicit.
why
AI can’t read between the lines. When a decision is unwritten or unclear, it guesses.
how
There’s no single format. Pick one or more (rules, READMEs, guidance in code, design contracts) and keep each one straightforward.

That’s where my work is now: making design system decisions easier for people and AI to find, apply, and trust.

In practice: turning our documentation checklist into a skill and my first Cursor command.

Selected work

A few examples from my design system work: aligning Figma and code, modernising foundations, documenting decisions, and helping product teams move without breaking everything. For more details, feel free to contact me.
Earlier work: Soniq Design System

Things I wrote (Unfiltered)

Writing carefully honestly about design systems and AI in Design Systems Unfiltered.
Don’t make your design system AI-ready yet

Don’t make your design system AI-ready yet

You don’t need to rethink your whole design system to start making it work better with AI.

AI is shipping UI faster than your design system can protect it

AI is shipping UI faster than your design system can protect it

AI is not breaking any of your rules, and that’s the problem.

I turned my biggest design system headache into my first Cursor command

I turned my biggest design system headache into my first Cursor command

Creating my first command and skill, and starting to learn when AI actually helps in my day to day.

What I do

I work best when a design system has outgrown its first version. If you looked over my shoulder, you’d probably find me working on:

  • Audits that turn inconsistency into decisions
  • Rules and guidance people and AI tools can use
  • Foundations, tokens, component logic and patterns
  • Building components in code
  • Migration and education paths that help teams adopt changes
  • Helping teams use AI to build with the system, not around it

Beliefs

👻

Invisible is good.

Good design system work often goes unnoticed: fewer repeated questions, clearer decisions, and less time fighting the system.

🪄

AI shouldn’t replace us.

AI composes validly. A human composes well. Valid and good are not the same thing: AI can pick the right components, break no rules, and still miss the point.

📓

More documentation ≠ clarity.

Cover the basics. Then add depth where the system is already showing you the need: repeated questions, recurring mistakes, and places where people or AI get stuck over and over.

🤖

AI won’t fix a messy system.

Fix the foundations first. If components, rules, examples, docs, Figma, and code don’t agree, AI will only make the mess louder.

Érica Menin, Design Systems Lead working on design systems for people and AI

A lil'Bit about me

Hey, I'm Érica. I've been in design for 15+ years and somewhere along the way became the person who gets excited about taking messy, complex things and making them work.

I write about what I learn as I go: the wins, the awkward moments, the “well, that didn’t work” parts, at Design Systems Unfiltered. No BS.

Remote-first, AI-curious, and always looking for ways to make complex work a little simpler.

Long story short

I design
  • Design systems
  • Component libraries, tokens, and documentation
  • Patterns and foundations
I enable
  • Systems thinking
  • Workflows, tooling, and design operations
  • Practices that help teams scale
I experiment
  • Testing AI agents, building tools that track progress and reduce friction, and sharing my insights.
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