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4.6/5

AgenticDesign Systems Course

Build a design system AI agents can use, so what Claude Code and Cursor build actually matches your designs. Less drift, tighter Figma-to-code sync, and components agents get right the first time.

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Trusted by designers from

“He packed in a lot of valuable insight on building industry-standard AI-ready design systems, how to structure them, maintain them, and test them so agents produce reliable, on-brand output.”

Kelly RedznakSr. Product Designer, Optimum

An AI-ready playbook for your design system.

01

The agent‑ready framework

Learn how to make a design system agent-ready. Tokens, components, naming, and rules structured so agents retrieve the system instead of inventing UI.

02

Component architecture agents can retrieve

Structure components so coding agents can find tokens, variants, and rules instead of guessing at the UI.

03

Figma and code, less drift with evals

Build the design system in Figma and in code. Use evals to catch drift so the file and the repo stay in sync.

04

AI automation and agent integration

Integrate AI automation and agents into the workflow so the team ships from the system, not a parallel UI nobody asked for.

AI slop is an architecture problem.

Agents building without your design system create visual drift. Teams are moving faster, but the output is inconsistent because most systems were designed for people to browse, not for agents to query and apply.

Design systems are becoming the infrastructure coding agents build from. Everyone sees the shift. Almost nobody knows how to make an existing system ready for it.

Designers can clean up the output or own the architecture that creates it. This course teaches you how to own it.

A structured learning resource, and a community of industry professionals.

Training

What you learnfrom framework to build.

  1. 01
    Framework

    The AI-ready design system framework

    Move from foundations to advanced topics: agent consumers, system architecture, tokens, rules, documentation, and readiness benchmarks.

  2. 02
    Evals

    Agent-readiness evals

    See where your system breaks for agents, learn how to test it, and establish a benchmark before you start fixing it.

  3. 03
    Build

    Practical implementation

    Audit an existing system, find the failure modes, and apply the workflow to components, Figma, code, and agent instructions.

Proof

Built on Florence: 95% retrieval accuracy by agents.

This framework comes from building Florence, a design system coding agents retrieve instead of inventing UI. It launched at 73% retrieval accuracy. Applying these methods took it to 95%, and agents shipped on-brand screens faster and cheaper in tokens.

Retrieval accuracy by agents
95%
Components
29
Foundations
9
Tokens
736

For the people responsible for how products get built.

  • Product and systems designers
  • Design system practitioners
  • Design managers and leads
  • AI consultants working with product teams
John Rodrigues

John Rodrigues

Design Engineer · Instructor

John is a design engineer with 10+ years of product and design experience from teams including JPMorgan, Citi, and TOCA. He has taught more than 10 cohorts on Maven with a 4.6/5 rating.

This course is built from the work behind Florence, an agent-ready design system coding agents retrieve with 95% accuracy.

Learn how to make your design system AI-ready.

Self-paced, and part of AI Mastery for Designers: $149 a month for this course and every other course.

Before you enroll.

What is an AI-ready design system?

An AI-ready design system is a design system structured so coding agents can retrieve tokens, components, and rules and ship on-brand UI instead of approximating. It is the same system designers use in Figma, encoded so agents can query it.

What is an agent-ready design system?

Agent-ready means the system is machine-readable. Agents can query components, tokens, and intent without relying on prose docs. Agentic is the next layer: agents can also observe drift, suggest fixes, and learn inside a loop with human oversight.

Is this course part of AI Mastery for Designers?

Yes. The AI-ready design systems course is one of the courses in AI Mastery for Designers. One membership, $149 a month, includes this course plus every other course, including Claude Code, Cursor, Codex, AI agents, design engineering, and Figma, and the community. It's self-paced.

Can I get a refund on the self-paced course?

You get instant access to the content, so this month isn’t refundable. Cancel anytime to stop billing for the next month.

Do I need to be a design system expert?

No. Familiarity with product design, components, or design systems is useful, but the course builds from the foundations into advanced implementation.

Will I receive a certificate?

You’ll receive a certificate of completion that you can share with your employer or add to LinkedIn.