Design system health check: can your AI agents read it?
Eleven questions, three minutes. You’ll get a scored report on two things: how healthy your design system is for your team, and how well AI agents can read it.
Built on what we’ve learned running design system assessments for B2B SaaS teams.
What lands in your inbox
Your tier
Where your system sits on health and machine-readability, and what’s driving that placement.
Your two biggest leaks
The two answers costing you the most, flagged by name, however well the rest scored.
The first three moves
What we would do first in your position, in the order we would do it.
What the health check looks at
Foundations
Whether tokens live in code, developers use a coded component library, and Figma matches code.
Governance
Whether the system has a named owner and a contribution process.
Daily friction
Duplicate UI, debates over the right component, late accessibility issues and releases slowed by inconsistency.
Machine-readability
Whether specs and docs are machine-readable, your AI tools are configured with your system, and what they generate stays on-system.
Why machine-readability is now part of design system health
Your team probably ships some UI through AI agents already. They can only use what they can read.
Documentation written for people tells an agent very little. It needs tokens in code, specs in a structured format and rules it can load as context.
Without those, it improvises. Every off-system screen is new debt, created at machine speed.
That’s what we mean by agentic-first: a design system built to be read by machines as well as people.
Health check or Assessment?
Health check
Free. Three minutes. Based on your own answers.
Design System Assessment
Three days. We review your Figma libraries, code components, tokens, documentation and governance. You get a component inventory, gap analysis and implementation roadmap. From 34.800 DKK (about €4.700) excl. VAT.
Frequently asked questions
What is a design system health check?
A short self-assessment that scores your design system on how well it works for your team and how well AI agents can read it. You get your tier, your two biggest leaks and your first three moves by email.
What is an agentic-first design system?
One built to be read by AI agents as well as people. Tokens live in code, specs and docs are machine-readable, and AI tools are configured with the system, so generated code lands on-system by default.
How is the tier decided?
Health comes first. A system that’s weak for people lands in tier 1 or 2, whatever its AI setup. Machine-readability then separates tier 3 from tier 4.
What if we don’t use AI coding tools?
There’s an answer for that, and you still get the full report.
How accurate is it?
It’s self-reported, so it’s as accurate as your answers. The Design System Assessment is three days of us checking it properly.