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 for primary, accent, surface, and muted, plus font roles and usage rules. Your agent reads the file and applies the same system across every component it generates.
This pattern works across Cursor, Claude Code, v0, and Lovable. One export from Export for AI Agents aligns every tool.
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, not by memory
- Headline and body font roles locked in DESIGN.md
- Usage rules for buttons, surfaces, and text hierarchy
- Auto-generated prompts with explicit constraints (Claude design system prompt)
- Live preview in the playground to validate tokens before agent handoff
- tokens.json so generated code imports real theme values
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 in the generator
- Export DESIGN.md to your project root via export design tokens for AI agents
- Add "Follow DESIGN.md" to AGENTS.md and cursor rules
- Regenerate components. Agents apply the same tokens. Re-export when the brand updates
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 how to make Cursor follow my brand and brand kit for Claude Code for tool-specific setup. Use AI ready brand guidelines when non-engineers need readable rules too.
- Multi-page apps: dashboard, settings, and billing share primary and muted tokens
- Marketing plus product: v0 landing pages match Cursor app UI from one kit
- Open source: DESIGN.md in repo root keeps contributor PRs on-brand
FAQ
- Will DESIGN.md fix all AI UI inconsistency?
- It dramatically reduces drift. Combine DESIGN.md with the auto-generated prompt and cursor rules. Review generated UI and refine tokens as needed.
- What tokens matter most for consistency?
- Primary and accent colors, headline and 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 or playground, re-export DESIGN.md and tokens.json, commit, and notify your agent the tokens file changed.
- Does this work with v0 and Lovable?
- Yes. Paste the same DESIGN.md into v0 and Lovable chats. See dedicated guides for v0 brand kit and Lovable design system.
- Can I save kits for my team?
- Yes. Save to your dashboard and share export links from the gallery when kits are public.
Related
Free tools
Interactive utilities you can use without an account. Each tool links to related guides and export workflows across the site.