AI Brand Kits

Consistent UI with AI Coding

Stop AI agents from inventing random colors and fonts. Use semantic brand tokens and DESIGN.md for consistent UI with AI coding workflows.

Why AI-generated UI looks inconsistent

Ask Cursor to build a dashboard, then a settings page, then a landing section — without constraints, each generation picks different blues, different font weights, different border radii. Consistent UI with AI coding requires explicit design tokens agents follow every time.

DESIGN.md solves this. Export semantic tokens — primary, accent, surface, muted — plus font roles and usage rules. Your agent reads the file and applies the same system across every component it generates.

How brand kits enforce UI consistency

Named tokens beat hex codes in prompts. "Use primary for CTAs" works across generations; "use #6366f1" drifts when the model approximates or forgets.

  • Semantic color tokens agents reference by role
  • Headline and body font roles locked in DESIGN.md
  • Usage rules for buttons, surfaces, and text hierarchy
  • Auto-generated prompts with explicit constraints
  • Live preview to validate tokens before agent handoff

Achieve consistent UI in four steps

Define tokens once, export to your repo, and reference them in every agent session. Consistency compounds as your codebase grows.

  • Generate and customize a brand kit with semantic tokens
  • Export DESIGN.md to your project root
  • Add "Follow DESIGN.md" to AGENTS.md or system prompts
  • Regenerate components — agents apply the same tokens

Consistent UI across AI coding tools

Teams using Cursor for backend and v0 for marketing pages, or solo devs switching between Claude Code and Lovable, all hit the same inconsistency problem. One DESIGN.md export aligns every tool to the same token set.

Pair with the playground to verify tokens before agents touch production code.

Frequently asked questions

Will DESIGN.md fix all AI UI inconsistency?

It dramatically reduces drift. Agents still need clear prompts — combine DESIGN.md with the auto-generated prompt for best results. Review generated UI and refine tokens as needed.

What tokens matter most for consistency?

Primary and accent colors, headline/body fonts, surface vs background, and muted text — these four areas cause the most visible inconsistency when undefined.

How do I update tokens when the brand evolves?

Edit in the generator, re-export DESIGN.md, and your agent indexes the updated file on the next session.

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