AI-ready design system consulting

Design systems
your AI can read.

Your team adopted AI coding tools. The UI comes back off-brand and full of guesses. The problem usually isn't the AI — it's that your design system was built for humans to read, not machines to consume. We fix that.

Get started → See the services
$1,500
fixed-fee audit
5 days
to your first diagnostic
6
dimensions audited
The problem

Why AI agents produce off-system UI

Tokens are visual, not semantic

blue-500 instead of color-action-primary — the agent can't infer intent.

Figma doesn't map to code

Components don't line up 1:1, so an agent can't go from a frame to the right component.

Naming drifts

Design, code, and docs disagree. Every mismatch is a guess waiting to happen.

No machine-readable source of truth

No CLAUDE.md, no Code Connect, no token export — nothing an agent can actually read.

Two ways to work together

From diagnosis to a system agents can consume

The wedge
$1,500 / 5 business days

AI Design System Audit

  • AI-readiness score (0–100), benchmarked
  • Findings across 6 dimensions — quick wins vs. structural fixes
  • Live test: an agent builds one of your screens, unaided
  • 1-hour findings presentation
Low-risk entry point. Scopes the Sprint precisely.
Start with the audit →
The fix · audit included
$6k–$10k / 4–6 weeks

AI-Ready Design System Sprint

  • Includes the full Audit as phase one — never paid twice
  • Refactored semantic token architecture
  • Figma ↔ code parity via Code Connect
  • CLAUDE.md source of truth + token export
  • Governance docs so it stays AI-ready
Done when an agent builds your screens unaided. We test it live.
Book a Sprint →

The Sprint includes the Audit as its first phase — you never pay for it twice.

How it works

Start small, prove it, then fix it

01

Score

Take the audit. Get a measured AI-readiness score and a roadmap.

02

Prioritize

Quick wins vs. structural fixes, ranked by leverage.

03

Refactor

The Sprint executes the roadmap: tokens, Code Connect, CLAUDE.md.

04

Verify

An agent builds your screens unaided. Before/after score, proven.

Proof, not promises

Every engagement is measured, not asserted

A single before/after AI-readiness score. A live test where an agent builds real screens from your system, unaided. Concrete artifacts — a CLAUDE.md, Code Connect maps, semantic tokens — not buzzwords. If we can't move the number, you'll see it.

Get started

Find out where your system stands.

Drop your email and I'll send your next steps right away — what an audit covers, what I'd need from you, and how to book. No call required to get going.

  • 1You get a welcome email with exactly what the audit covers and how it works.
  • 2It lists what I'd need from you — read access to one Figma file and one repo.
  • 3Reply when you're ready and we book your 5-day audit.
No spam. Just the next steps and a direct line to me. Unsubscribe anytime.
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Questions

Objections, answered

Can't we just prompt the AI better?
Prompting papers over a structural gap. If tokens are visual and components don't map to code, every prompt is the agent guessing. Fixing the system removes the guesswork permanently — across every tool and every teammate.
We already have a design system. Isn't it fine?
It's probably fine for humans. AI agents are now the heaviest readers of your system, and they have different needs: semantic tokens, 1:1 component mapping, a machine-readable source of truth. The audit tells you exactly where yours stands.
What do you need from us?
For the audit: read access to one Figma file and one repo, plus 60 minutes on day 1 and day 5. That's it.
Which AI tools does this cover?
Claude Code, Cursor, Copilot, Figma MCP — anything that reads your design system to generate code. The fixes are tool-agnostic because they live in the system, not the prompt.
Do we have to commit to the Sprint?
No. Most teams start with the audit — it's low-risk and self-contained. If the roadmap makes the case for a Sprint, great; if not, you still keep a scored diagnostic and a prioritized fix list.