The Design Control Layer
for AI Coding Assistants

The Problem

AI is writing your UI. But it has no idea what your brand looks like.

AI coding assistants generate entire components in seconds. But without design system awareness, every prompt produces a different visual result — inconsistent colors, mismatched typography, arbitrary spacing. The more your team uses AI, the faster your UI drifts from your brand.

<button className="bg-blue-500 text-white px-4 py-2 rounded">
  Submit
</button>

// Next prompt, same project:
<button className="bg-indigo-600 text-sm px-3 py-1.5 rounded-md">
  Submit
</button>

// Third prompt:
<button className="bg-sky-500 font-medium px-6 py-3 rounded-xl">
  Submit
</button>

// Every prompt, every session, every developer:
<button className="bg-[color.primary] text-white
  px-[spacing.md] py-[spacing.sm]
  rounded-[radius.md] font-[font.body]
  hover:bg-[color.primary-hover]">
  Submit
</button>

// Tokens resolve to your design system:
// color.primary → #3B82F6
// spacing.md → 16px, spacing.sm → 8px
// radius.md → 8px, font.body → Inter

Market Opportunity

A $12.8 billion market with no design guardrails.

AI coding tools are the fastest-growing segment in developer tooling. Every major platform is investing billions. But none of them solve the design consistency problem. AIUI is the missing infrastructure layer.

Core Innovation

Design Memory: persistent context for AI

Design Memory is AIUI's core innovation. It's a layered, persistent context system that gives AI coding assistants complete awareness of your design system — not just in one session, but across every session, every developer, every IDE.

# Design Memory — my-saas-app
<!-- Auto-synced from AIUI on 2026-04-09 -->
<!-- Hash: a7f3c2d — tokens changed? re-sync automatically -->

**Style Pack:** SaaS Clean
**Framework:** nextjs-tailwind
**Components:** 12 selected  |  **Tokens:** 31 active

## Design Tokens

### Color
| Token              | Value     |
|---|---|
| color.primary      | #3B82F6   |  ← AI uses THIS, not random blues
| color.primary-hover | #2563EB  |
| color.background   | #FFFFFF   |
| color.text-primary | #111827   |

### Spacing
| Token       | Value |
|---|---|
| spacing.sm  | 8px   |  ← Consistent padding everywhere
| spacing.md  | 16px  |
| spacing.lg  | 24px  |

## Design Rules
1. Use ONLY these tokens — never hardcode values
2. Call validate_ui_output after generating UI
3. Match the framework target — nextjs-tailwind

Architecture

Protocol-level integration via MCP

AIUI uses the Model Context Protocol — the industry standard adopted by Anthropic, OpenAI, Google, and Microsoft. One integration serves every MCP-compatible IDE. No per-tool plugins. No maintenance per editor.

12 MCP Tools

Every tool is available to any MCP-compatible AI assistant. The AI calls these automatically during code generation.

How It Works

From design system to consistent AI output in 4 steps

AIUI sits between your design system and your AI coding tools. Setup takes under 60 seconds. Once connected, every AI-generated component follows your design tokens automatically.

// Import from Tailwind config, Figma, or define manually // 14 style packs available — or build your own

// Recipe: Primary Button
// Tokens: color.primary, spacing.md, radius.md
// Props: variant, size, disabled
// Rule: "Always use hover:bg-[color.primary-hover]"

claude mcp add aiui -- npx @anthropic-ai/aiui-mcp@latest

// validate_ui_output returns:
// { score: 97, violations: 1,
//   detail: "color.warning used instead of color.error" }

Key Features

Everything you need for AI-consistent design

Competitive Landscape

The gap no one else fills

Design system tools manage tokens for human workflows. AI coding tools generate code without design awareness. AIUI is the only product that connects both — enforcing design compliance at the point of AI code generation.

Funding context

Design system tooling companies routinely raise $10–25M at Series A. AIUI operates in the same space with a more focused positioning and dramatically lower capital requirements.

Supported Tools

Works with every major AI coding environment

AIUI connects through the Model Context Protocol. Any tool that supports MCP can use AIUI as a design context source. One configuration. Every IDE.

claude mcp add aiui -- npx @anthropic-ai/aiui-mcp@latest

{
  "mcpServers": {
    "aiui": {
      "command": "npx",
      "args": ["@anthropic-ai/aiui-mcp@latest"]
    }
  }
}

Settings → MCP → Add Server → aiui

"mcp": {
  "servers": {
    "aiui": {
      "command": "npx",
      "args": ["@anthropic-ai/aiui-mcp@latest"]
    }
  }
}

Getting Started

Start shipping consistent UI in 60 seconds