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reopt Handbook
reopt Handbook
Design Systems for the AI Era

Foundation

Token ArchitectureComponent SpecBuilt-in Accessibility

AI Workflow

Prompt InterfaceDESIGN.md InterfaceAgentic Design Quality ControlWorkflow StrategiesAI-Based Design System EvolutionContext Injection

User Experience

Consistency PatternsInteraction DesignForms and Data Input

Next Interfaces

Agent UI ProtocolsGenerative UISpatial and Multimodal Interfaces

Practice

Execution PlaybookMigration StrategyGovernance and CollaborationCase Studies

Operations

Verification ChecklistUpdate Log
Handbook›Design Systems for the AI Era›Execution Playbook
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Execution Playbook

The minimum path for launching an AI-first design system quickly.

Key takeaways

  • An AI-first design system should start with an execution loop, not a perfect taxonomy, for teams moving from 0 to 1.
  • The 10-day path runs from inventory and DESIGN.md through token layers, top-10 component specs, accessibility contracts, and agent instructions.
  • Generated sample screens and screenshot review on days 7 and 8 expose the component and spec gaps that need fixing.
  • Days 9 and 10 add CI checks for tokens, types, accessibility, and screenshots, then publish the team workflow and contribution rules.
  • Definition of done: agents can find docs, are told not to invent tokens or components, and generated UI is checked at desktop and mobile.

An AI-first design system should start with an execution loop, not a perfect taxonomy. This playbook is for teams that already understand design systems and need to move from 0 to 1 quickly.

10-Day Path

DayOutput
1Inventory current components, tokens, and repeated UI failures.
2Draft DESIGN.md with product feel and forbidden patterns.
3Define semantic token layers and naming rules.
4Write specs for the top 10 components.
5Add accessibility contracts and checks.
6Add agent instructions in AGENTS.md or equivalent.
7Generate sample screens and run screenshot review.
8Fix component/spec gaps exposed by generated UI.
9Add CI checks for tokens, types, accessibility, and screenshots.
10Publish team workflow and contribution rules.

Minimum Definition of Done

  • Agents can find component docs.
  • Agents are told not to invent tokens or components.
  • The system has a top-level design intent file.
  • Generated UI is checked at desktop and mobile breakpoints.
  • Design-system owners review contract changes.

Related docs

Context Injection

Deliver the right design-system context to AI agents at the right time.

AI-Based Design System Evolution

Use AI to build, audit, and evolve the design system itself.

Scenario: Frontend Team

Harness Engineering · Design a harness where browser QA, accessibility, visual state, and design rules are load-bearing.

Cmd. /desktop

Claude Code Command Master · Continue the session in Claude Code Desktop (/app).

Spatial and Multimodal Interfaces

Spatial computing, voice, gesture, and multimodal AI in design systems.

Migration Strategy

Convert an existing design system into an AI-ready system incrementally.

On this page

10-Day PathMinimum Definition of Done