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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.

Intermediate 14 lessons 587 XP About 98 min

Source · Handbook · Design systems in the AI era · Source reviewed 2026-07-01

Design systems in the AI era course
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Course progress15 learning steps

1. Token architecture — start with the atoms

Learn a three-layer token structure that AI can interpret and the W3C DTCG standard.

  1. AI-readable design systems and three token layersFour AI-first principles and primitive, semantic, and component layersConcept32 XP
  2. Core token & DTCG termsReinforce terminology for layers, naming, DTCG, and pipelinesFlashcards20 XP
  3. Token architecture quizCheck layer references, naming, and DTCG conventionsQuiz38 XP

2. Component specifications & accessibility

Turn specifications into data so AI generates accurate code, with accessibility built in by default.

  1. Component specifications — an AI-readable blueprintProps schemas, state machines, slot composition, and Spec as DataConcept33 XP
  2. Build accessibility in by defaultARIA standards, keyboard patterns, WCAG contrast, and automation limitsConcept34 XP
  3. Specifications & accessibility quizCheck props, single-source data, WCAG contrast, and icon buttonsQuiz40 XP

3. Consistency & interaction

Tokenize grids, spacing, and motion to keep AI-generated interfaces consistently high quality.

  1. Consistency — quality through constraintsA 12-column grid, 4px spacing, responsive behavior, and consistency scoringConcept31 XP
  2. Interaction & motion tokensState feedback, micro-interactions, duration, easing, and reduced motionConcept30 XP
  3. Practice: review an AI-generated interfaceCorrect an AI-generated component using design-system standardsScenario46 XP

4. Governance & implementation playbook

Use a four-week path and quality gates to make an AI-first design system operational.

  1. Four-week implementation playbook & governanceDefinition of Done, the four-week path, six quality gates, and RACIConcept33 XP
  2. AI-first design-system readiness checklistReview tokens, specifications, consistency, and governance before launchChecklist25 XP
  3. Governance & implementation quizCheck the four-week path, quality gates, and RACIQuiz36 XP

5. 에이전틱 UI 품질 통제

생성형 UI와 에이전트가 디자인 시스템 경계 안에서 작업하게 만듭니다.

  1. DESIGN.md에서 생성형 UI까지AI가 읽는 미학·행동 계약과 에이전트 UI 프로토콜Concept45 XP
  2. 워크북: AI UI 품질 계약에이전트가 지켜야 할 디자인·접근성·행동 규칙 작성Workbook60 XP

Final challenge

Prove your mastery with a comprehensive course quiz.

  1. Final challenge · Design-system masteryA comprehensive quiz across tokens, specifications, accessibility, consistency, and governanceComplete lessons first84 XP