How to Make Beautiful Pages with AI
The answer isn't better prompts — it's giving AI a real design spec. Extract any site's complete design system in one click, and turn AI output from "template-feel" to "genuine design quality" in 30 seconds.
Linear —— 设计采集中
✓ CSS Variables extracted
✓ Font stack identified
✓ Color tokens mapped...
The Problem
Why Do AI-Generated Pages Always Look the Same?
It's not that AI lacks capability — it's that your input isn't precise enough. AI doesn't understand "that kind of feel", but it can execute an exact design specification.
Vague description
Before
"Make it feel like Linear — dark, premium, minimal"
After
Background: #0F0F0F Accent: #5E6AD2 Border: rgba(255,255,255,0.08)
Style keywords
Before
"Minimal, high-tech, Apple-like quality"
After
Font: Inter 13px/1.5 Spacing: 4-8-16-24-40px Radius: 6px / 12px
Motion description
Before
"Subtle animations, smooth transitions, nothing flashy"
After
Duration: 150ms Easing: cubic-bezier(0.25,0.46,0.45,0.94) Pattern: opacity + translate-Y(4px)
Every top competitor article teaches "how to write better prompts" — but the real problem isn't the prompt wording. It's that AI receives subjective descriptions instead of objective specs. Design Extractor skips the guesswork and extracts quantified design systems directly from the source.
Workflow
Extract the Design Spec First, Then Let AI Generate
Upgrade from "describing aesthetics" to "replicating aesthetics" — from vague guesses to quantified precision
STEP 01
Open the Site You Want to Replicate
Navigate to Linear, Stripe, Vercel, or any website with the design you admire
Any publicly accessible HTTPS page works. Reference competitors, design benchmarks, or any visual you want to replicate — not limited to well-known products.
STEP 02
Extract the Complete Design Spec
Click the Design Extractor icon. AI auto-captures colors, fonts, spacing, motion. DESIGN.md ready in 30s.
Extracts CSS variables, font stacks, exact color HEX values, gradient params, animation durations, easing curves, component styles — all quantified into executable specs, not subjective descriptions.
STEP 03
Paste DESIGN.md to Your AI Tool
Drop the generated spec directly into Cursor, v0.dev, Lovable, or Claude's chat
Tell AI: "Strictly follow the design specs in DESIGN.md." It will execute exact color values, font scales, spacing systems, and motion parameters — no freelancing.
DESIGN.md
DESIGN.md: Give AI Real Design References
Not vague style words — a structured document with precise numerical values. AI can read and strictly execute it, like giving a developer a fully annotated Figma file.
Overall Atmosphere
Defines page mood, visual density, and aesthetic orientation
Color Palette
Exact HEX/RGBA values for primary, secondary, text, and background colors
Font Stack
Font families, weights, size scales, line heights, letter spacing
Texture Spec
Gradient directions, color stops, multi-layer shadow parameters, blur values
Motion Parameters
Duration, easing curves, trigger patterns (hover / enter / scroll)
Component Specs
Complete style definitions for Button / Card / Input / Nav
Replication Guide
Tailwind CSS token mapping and implementation recommendations
# Linear Design System
Engineering minimal · Zero decoration
## Color Palette
- Background: #0F0F0F
- Surface: #1A1A1A
- Accent: #5E6AD2
- Border: rgba(255,255,255,0.08)
## Font Stack
- Display: "Inter" / -apple-system
- Code: "JetBrains Mono"
Integrations
One-Click Integration with Cursor, v0.dev, Lovable
DESIGN.md works with all major AI code generation tools — one spec, multiple uses
Cursor
Reference DESIGN.md in .cursorrules or chat context
- 01.Place DESIGN.md in your project root
- 02.Add to .cursorrules: "Always follow DESIGN.md design specs"
- 03.Send any UI generation request to Cursor
v0.dev
Paste DESIGN.md into v0's system prompt
- 01.Copy the full DESIGN.md content
- 02.Start a new v0.dev session, paste as context
- 03.Describe the component or page you want
Lovable
Inject specs into Lovable's Knowledge or chat
- 01.Upload DESIGN.md to Lovable Knowledge Base
- 02.Or paste specs directly in the chat
- 03.Ask Lovable to strictly follow styles when generating
Claude
Use in Claude Projects or direct conversation
- 01.Add DESIGN.md to Claude Project knowledge base
- 02.Or attach the document content in chat
- 03.Describe your target UI, Claude executes the spec
Universal tip
Regardless of which tool you use, adding this line to your prompt works best: "Strictly follow the color, font, spacing, and motion parameters in DESIGN.md — no creative liberties."
Case Studies
Learn Design Language from Linear, Stripe, Vercel
Real extracted design specs + AI output comparison — left is without specs, right is with DESIGN.md injected
Linear
linear.app
Without design spec (AI freestyles)
color: #6366f1; /* 默认 AI 风格 */
With DESIGN.md injected
color: #5E6AD2; /* DESIGN.md */
Deep black base, low-contrast borders, typography-driven layout, zero decorative elements. The pinnacle of engineering aesthetics.
Stripe
stripe.com
Without design spec (AI freestyles)
color: #6366f1; /* 默认 AI 风格 */
With DESIGN.md injected
color: #635BFF; /* DESIGN.md */
Gradient halos, precise shadow layering, unified corner radius language, trustworthy enterprise-grade quality.
Vercel
vercel.com
Without design spec (AI freestyles)
color: #6366f1; /* 默认 AI 风格 */
With DESIGN.md injected
color: #FFFFFF; /* DESIGN.md */
Pure black base, high-contrast white typography, minimal type system — perfect balance of code aesthetics and product polish.
Try It Free — Extract Your First Design Spec in 30 Seconds
Install the Chrome extension, open any website, click Analyze — your first DESIGN.md will be ready instantly.
Install Free Chrome ExtensionFAQ
Frequently Asked Questions
Compatible with any AI tool that accepts text context, including Cursor, v0.dev, Lovable, Claude, GitHub Copilot Chat, ChatGPT, Bolt.new, and more. DESIGN.md is plain Markdown — if an AI tool can receive text input, it can read and execute the design specs.
Because blue-purple SaaS aesthetics dominate AI training data. Without specific design constraints, AI defaults to the highest-frequency patterns in its training set. The fix isn't switching to a better model — it's giving AI a quantified design specification (DESIGN.md) with concrete numerical values to execute instead of freestyle.
DESIGN.md includes: overall atmosphere definition, exact color palette (HEX/RGBA), font stack (families, sizes, line heights), texture specs (gradient and shadow params), motion duration and easing curves, component style definitions, and Tailwind CSS replication suggestions. All quantified and executable — AI can and does strictly follow them.
Three steps: ① Open linear.app (or vercel.com, stripe.com) in Chrome and click the Design Extractor icon; ② Wait 30 seconds and download or copy the generated DESIGN.md; ③ Paste DESIGN.md into your AI tool (Cursor, v0.dev, Lovable, etc.) and say "strictly follow DESIGN.md specs to generate the UI."
"Apple minimal style" is subjective. AI interprets it based on the most frequent associations in training data — results vary by model and time. DESIGN.md contains concrete values: font-size 17px, line-height 1.47, background #FBFBFD, border-radius 12px. These are precise executable instructions, not guesses.
Any publicly accessible HTTPS page: SaaS products, marketing landing pages, portfolios, e-commerce pages, etc. Limitations: content behind login walls, iframe-embedded sub-pages, and Canvas-rendered content (e.g., the canvas area of online design tools) may not be fully captured. Chrome-only for now.
Not at all. Design Extractor is a Chrome extension — just click the icon and everything is automated. The output is Markdown you can read without knowing CSS. If you need to inject results into Cursor or modify code, basic dev knowledge helps — but extraction itself requires zero technical skills.
The Free plan is completely free with unlimited extractions, but requires your own OpenAI-compatible API Key (supports Kimi, GPT-4o, etc.). Pro ($5/mo) provides 50 platform-hosted analyses per month with no API Key setup. Max ($20/mo) provides 200/month for power users.