Design Systems for AI-Assisted Development Teams

Here's what we're seeing from AI-assisted dev teams

Every feature looks designed by a different person (or AI). Your landing page uses one button style. Your dashboard uses another. The settings page looks like it came from a different product. You're moving fast with AI tools, but the inconsistency is starting to show.

You're copy-pasting from v0, Cursor, and Copilot without a shared visual language. Each AI-generated component works fine individually. But together? Your product looks Frankenstein'd. Different spacing, different colors, different interaction patterns. Nothing feels intentional.

Traditional design systems slow you down. You tried using a component library. Every time the AI generates code, it doesn't match your components. You spend hours retrofitting AI output to fit rigid components. The design system becomes friction, not help.

You don't have a designer, but you need your product to look professional. Your team is engineers. You can ship features fast with AI assistance. But design consistency isn't something Cursor can figure out on its own. You need guidelines without becoming a design team.

Here's how we solve it

We build design systems specifically for AI-assisted development. Not rigid component libraries that fight with AI-generated code. Instead: principles, patterns, and prompts that guide AI tools to generate consistent interfaces.

This isn't a traditional design system. Those assume you're hand-coding every component or using a specific framework. But you're using AI to generate code. That requires a different approach.

We give you the vocabulary and constraints that make AI output consistent. Clear color systems. Spacing scales. Typography rules. Button patterns. And most importantly: prompts you can feed to Cursor, Copilot, and v0 that generate on-brand code.

Key differences:

Built for AI tools, not against them. Traditional design systems assume manual implementation. Ours assumes you're prompting AI to generate code. We optimize for that workflow. Each guideline includes example prompts that work with Cursor, Copilot, and v0.

Guidelines, not handcuffs. You won't find a 50-component library that you must use. Instead: clear principles (spacing scale, color usage, typography hierarchy) that AI tools can interpret flexibly. Your features stay diverse while feeling cohesive.

Prompt library included. The real value: reusable prompts that generate on-brand UI. "Create a data table following our design system" produces consistent results. "Add a modal using our patterns" matches your existing modals. The AI handles implementation, the prompts handle consistency.

Designed for lean teams who ship fast. If you had 10 engineers, you'd build a complex component library. But you're 2-5 people moving quickly. You need consistency without overhead. Our systems are intentionally lightweight: just enough structure to stay cohesive, not so much that it slows you down.

What's included

Foundation & Principles:

Color system (primary, secondary, semantic colors with usage rules)
Typography scale (hierarchy for headings, body, UI elements)
Spacing system (consistent padding and margins)
Layout patterns (grids, containers, responsive breakpoints)
Interaction states (hover, active, disabled, loading)

Component Patterns:

Button variations and usage guidelines
Form element patterns (inputs, selects, checkboxes)
Card and container patterns
Table and data display patterns
Modal and overlay patterns
Navigation patterns

AI Prompt Library:

Pre-written prompts for common UI patterns
Cursor-specific snippets for component generation
v0 prompt templates that match your system
Copilot context files for better suggestions
Examples: "Generate table with our design system applied"

Documentation & Figma Files:

Living style guide (web-based, easy to reference)
Figma design file with all patterns documented
Code examples for each pattern
Integration guide for AI tools
Maintenance instructions

Timeline:

Week 1: Foundation (colors, typography, spacing)
Week 2: Core patterns and components
Week 3: Prompt library and documentation

How it works

Step 1: Audit Your Product (Week 1)

We review your existing product, identify inconsistencies, and extract patterns you're already using (even if unintentionally). We don't start from scratch. We formalize what's working and fix what's broken.

Step 2: Build the Foundation (Week 1-2)

We establish colors, typography, and spacing that match your brand direction. This becomes the vocabulary for everything else. We test these foundations with AI tools to ensure they're AI-friendly.

Step 3: Create Patterns and Prompts (Week 2-3)

We document common UI patterns (buttons, forms, tables, etc.) and write corresponding AI prompts. Each pattern includes: visual example, code example, and prompt template for generating it with AI tools.

Step 4: Handoff and Integration (Week 3)

We deliver Figma files, documentation site, and prompt library. We train your team on using the prompts with Cursor / Claude Code / v0. You start generating consistent UI immediately.

Pricing

$8,000 - $12,000 for most design systems

What affects pricing:

Lower end ($8-10K):

Minimal branding (or using existing brand)
Standard web UI patterns
10-15 component patterns documented
Basic prompt library (20-30 prompts)
Single product focus

Higher end ($10-12K):

Brand refinement or creation needed
Complex UI needs (data visualization, dashboards)
20-25 component patterns documented
Comprehensive prompt library (40-50 prompts)
Multiple product surfaces (web + mobile guidelines)

Compare to traditional design systems:

Hiring a designer:

$8-15K/month for senior product designer
2-3 months to build comprehensive system
$16-45K total cost
Requires ongoing maintenance

Design agency:

$25-50K for traditional design system
6-8 weeks delivery
Often too rigid for AI-assisted workflows
Assumes dedicated design team

Our approach:

$8-12K one-time
2-4 weeks delivery
Built specifically for AI workflows
Lean teams can maintain it themselves

Monthly subscription alternative:

Want ongoing design support as your product evolves? Our monthly subscription ($5-8K/month) includes design system maintenance plus new feature design. Good for continuous iteration.

Questions for AI-assisted teams

Before scheduling a call, consider these questions. They help us scope the right system for your workflow:

Which AI coding tools is your team using? Cursor? GitHub Copilot? v0? All of them? This affects which prompts and integration patterns we prioritize. Each tool has slightly different syntax and capabilities.

Do you have an existing brand or are we creating one? If you have brand colors and fonts, we'll build the system around them. If not, we'll establish a minimal brand foundation that feels professional without extensive brand work.

How technical is your team with design implementation? All engineers? One person with design eye? This determines how detailed the documentation needs to be and how much we explain design decisions vs. just providing patterns.

Are you building one product or multiple? A single SaaS app needs a different system than a founder building multiple products. Multi-product systems need more flexibility built in.

What's your biggest consistency problem right now? Buttons? Spacing? Forms? Data tables? Knowing where inconsistency is worst helps us prioritize which patterns to document first.

Frequently asked questionsFAQ

Ship fast with AI. Get consistent design without slowing down.