Design systems in the AI era
A design system AI can read and turn into code
Design an explicit, structured system that AI agents can interpret accurately, covering token architecture, component specifications, accessibility, interaction, and governance.
Source · Handbook · Design systems in the AI era · Source reviewed 2026-07-01

1. Token architecture — start with the atoms
Learn a three-layer token structure that AI can interpret and the W3C DTCG standard.
2. Component specifications & accessibility
Turn specifications into data so AI generates accurate code, with accessibility built in by default.
- Component specifications — an AI-readable blueprintProps schemas, state machines, slot composition, and Spec as Data
- Build accessibility in by defaultARIA standards, keyboard patterns, WCAG contrast, and automation limits
- Specifications & accessibility quizCheck props, single-source data, WCAG contrast, and icon buttons
3. Consistency & interaction
Tokenize grids, spacing, and motion to keep AI-generated interfaces consistently high quality.
- Consistency — quality through constraintsA 12-column grid, 4px spacing, responsive behavior, and consistency scoring
- Interaction & motion tokensState feedback, micro-interactions, duration, easing, and reduced motion
- Practice: review an AI-generated interfaceCorrect an AI-generated component using design-system standards
4. Governance & implementation playbook
Use a four-week path and quality gates to make an AI-first design system operational.
- Four-week implementation playbook & governanceDefinition of Done, the four-week path, six quality gates, and RACI
- AI-first design-system readiness checklistReview tokens, specifications, consistency, and governance before launch
- Governance & implementation quizCheck the four-week path, quality gates, and RACI
5. 에이전틱 UI 품질 통제
생성형 UI와 에이전트가 디자인 시스템 경계 안에서 작업하게 만듭니다.
Final challenge
Prove your mastery with a comprehensive course quiz.