Scroll to top

Design systems your AI agents can actually use

Agents ship UI now. Whether their output looks like your product, or almost like it, is decided by the system underneath. We build design systems that hold up when people and machines build with them.

Book a sprint

or start with a Design System Assessment

An agent is your newest team member. It reads your docs, uses your components, and builds while you sleep.

If your design system can’t onboard a junior designer, it can’t onboard an agent. Undocumented patterns, tokens that live only in Figma, components that exist in three versions: people route around these gaps. Agents don’t. They fill them with something almost right, at machine speed.

Drift used to accumulate one sprint at a time. Now it compounds per prompt.

Service

Learn how we approach design systems as infrastructure

`What you get`

Components in code

Agents build with what’s importable. Clear props and constraints make reuse the default—not reinvention.

One token source

Machine-readable tokens that code actually consumes. When Figma and CSS disagree, agents make the wrong choice at speed.

Docs for retrieval

Usage rules an agent can find and follow: what to use, what never goes together, and what accessible means here.

Review gates

Linting, accessibility checks, and human review where it counts. Agent output ships through the same gates as everyone else’s.

Three phases. One system.

2–3 weeks

AI-readiness assessment

We test your design system against what agents actually need: token architecture, component coverage, documentation retrievability, and accessibility. You get a scored gap map and a clear sequence.

Deliverable: A scored report, gap map, and action plan—useful whether or not you hire us for the rest.

Then

System hardening

We close the gaps: one token source, components promoted to production code, and documentation rewritten for people and machines. Built with your engineers, inside your repos.

Deliverable: Production components, consolidated tokens, and retrievable system documentation.

Ongoing

Guardrails for agent-shipped UI

We establish review gates, automated checks, and accessible components so agent output passes the same quality bar as everyone else’s.

Deliverable: Automated checks, accessibility guardrails, and governance that keeps the system credible.

Book a sprint

or learn about our long-term partnerships

Find out what your system gives an agent today

Two to three weeks. A scored gap map across tokens, components, docs, and gates. Useful whether or not you ever hire us again.

Or read how we work with product teams

frederick.jpg

Frederick Andersen

Founder

fa@edl.dk

+45 28 25 36 94

Questions we get

What is an AI-ready design system?

A design system that both people and AI agents can build with: machine-readable tokens, production components, retrievable documentation, and review gates. If any of the four is missing, agents guess and the product drifts.

Can agents use our Figma library?

Not directly, and that’s the problem. Agents build with code. If your system’s truth lives in Figma while your code disagrees, agent output follows the code—drift included.

Does AI-generated UI meet accessibility requirements?

Not by default. Agents inherit the accessibility of the components they use. When accessibility is built into your system, agent output has a reliable standard to follow.

Do we need to rebuild our design system for AI?

Rarely. Most systems need hardening, not replacement: consolidate tokens, promote components to code, and restructure documentation. That’s exactly what the assessment maps.

How does the assessment work?

Over two to three weeks, we score your current system across tokens, components, documentation, and quality gates—then show you the highest-leverage path forward.

What does agent-ready governance look like?

The same reliable checks you expect from any team member: automated quality gates, accessibility safeguards, and human review where it matters.

Book an intro

Contact