You're scrolling a website, you see a pricing card, a hero section, or a navbar you love - and you want it in your project. In 2026, you're not opening DevTools and copying CSS line by line anymore. You're pasting it into Cursor, Claude, Lovable, Bolt, or v0 and shipping it in the next five minutes.
Here's exactly how to do that, and why the "inspect → screenshot → describe to AI" workflow everyone was using last year is already obsolete.
- Screenshot-to-code and hand-copied CSS make AI tools guess at colors, spacing, and structure, so you lose time cleaning up the output.
- Extracting a component from the live DOM gives Cursor, Claude, and v0 real class names and real values to work from instead.
- The workflow is one flow: extract clean Tailwind HTML, paste it into your AI tool, then ask it to adapt or refactor.
- It's tool-agnostic and works on any framework, since it reads the rendered page rather than the source.
The old workflow (and why it breaks)
Until recently, if you wanted to recreate a component from a live site using an AI coding tool, you had three bad options:
- Screenshot it and paste into Claude / ChatGPT. The AI guesses. It gets the layout roughly right, invents the colors, and hallucinates the spacing. You spend 20 minutes fixing it.
- Open DevTools and copy CSS by hand. You get the real values, but now you have 400 lines of compiled CSS, cryptic class names, and no structure. Pasting that into Cursor is worse than useless.
- Describe the component in words. "A pricing card with three tiers, a gradient border, and a highlighted middle plan." The AI builds something, but it's not the thing you saw.
All three fail because the AI is guessing instead of reading the actual code. The fix is simple: give the AI the real component.
The new workflow: extract → paste → done
Here's the exact flow that works in 2026:
- Install a Chrome extension that can extract a component as clean code. MiroMiro does this. Hover any element, click, and get production-ready Tailwind HTML.
- Select the whole section, not just one element. A hero, a pricing card, a navbar - select the parent container and the extension exports everything inside it as one clean component.
- Copy it. You get real class names, real values, real structure. Not compiled gunk.
- Paste it into Cursor, Claude, Lovable, Bolt, or v0. Add one sentence: "Use this component as the starting point for thing you're building." The AI now has exact values to work from and produces code that actually matches what you saw.
That's it. No screenshots, no guessing, no back-and-forth.
Do this on any live website
MiroMiro inspects any site in your browser - CSS, assets, colors, and clean code, one click away.
Step-by-step: from website to Cursor
Let's do a real example. Say you want to grab a pricing section from a site you admire and use it in your Next.js project.
1. Install MiroMiro
Add the MiroMiro Chrome extension to your browser. It's free to install, with no account needed for your first extractions.
2. Visit the site and activate the inspector
Click the MiroMiro icon. Hover over the pricing section and you'll see a highlight around the element under your cursor. Scroll up until the entire pricing section is highlighted, then click.
3. Export as clean Tailwind HTML
MiroMiro converts the live DOM into clean, semantic HTML with Tailwind classes. Real colors, real spacing, real typography - not the compiled mess DevTools shows. One click copies it to your clipboard.
4. Hand it to your AI and tell it what you want
Drop the copied component into Cursor, Claude, Lovable, Bolt, or v0, then just ask. "Turn this into a three-tier pricing card using my brand colors." "Wire the plans up to my Stripe products in lib/stripe.ts." "Make it match the rest of my app and give me a dark mode variant." Because the AI is reading real code - real colors, real spacing, real structure - it stops guessing and starts building. You're not pasting a component. You're handing your AI a head start, then pointing it wherever you want to go.
We run this exact flow daily against sites like Stripe, Linear, and Vercel, and the pattern holds: the moment the AI gets real class names instead of a screenshot, the first-pass output stops needing cleanup.
Why this works with AI coding tools specifically
AI coding tools are brilliant at transforming code and terrible at inventing pixel-perfect design from nothing. When you give Cursor or Claude a real component, you're playing to their strengths:
- They can refactor it. Convert the Tailwind HTML into a React, Vue, or Svelte component that matches your codebase conventions.
- They can adapt it. "Make this match our brand colors from
tailwind.config.ts" or "turn this into a dark-mode variant." - They can compose it. "Use this pricing card pattern but put three tiers instead of two, and make the middle one the highlighted plan."
The AI isn't guessing anymore. It's transforming real code. That's why the output is 10× better than screenshot-to-code.
Works with every AI coding tool
The extract → paste workflow is tool-agnostic. Once the component is on your clipboard as clean code, you can paste it into:
- Cursor. For full-project edits with context from your codebase.
- Claude (Projects or Code). For refactoring, adapting, or composing into larger features.
- v0. Use the extracted component as a reference and generate variants.
- Lovable. Paste into your prompt to seed a new page or feature.
- Bolt.new. Bootstrap a whole app starting from a real component you liked.
- ChatGPT. A reference snippet when asking for variations or explanations.
One extension, every AI tool.
What about screenshots?
Screenshots still have a role for pure visual reference - "I want something that feels like this." But for actually building the thing, code beats pixels every time. An LLM that reads real class names and real hex values will always out-produce one that's staring at a JPEG and guessing.
The rule of thumb: if you want the AI to describe something, use a screenshot. If you want the AI to build something, use extracted code.
The deeper "why" behind this (including how Figma Dev Mode, Anima, and Locofy all stumble on the same problem) is in our breakdown of every design tool that claims clean HTML/CSS export.
What you can grab
With MiroMiro, "any component" really does mean any component. Heroes, navbars, pricing tables, feature grids, testimonial sections, modals, buttons, cards, footers. You can also extract:
- Colors. Full palette as CSS variables, Tailwind config, or OKLCH.
- Typography. Font families, sizes, weights, line heights.
- SVGs and icons. Download as optimized SVG files.
- Lottie animations. Grab the JSON directly.
- Images. Full resolution, ready to drop into
/public.
Everything you'd normally rebuild by hand, available as one click.
Try it
If you've been copy-pasting CSS from DevTools into ChatGPT and wondering why the output is mediocre, the problem isn't the AI. It's the input. Give Cursor and Claude real components instead of screenshots and watch the quality jump.
Install MiroMiro for free and extract your first component in under 30 seconds. Need more than one component? See how the website cloner clones a whole page into clean, reusable code.
One less monthly bill in your AI stack
You're already paying Cursor, Claude, v0, maybe Figma. That stack is €75+/month - every month, forever - before you ship anything. MiroMiro is the one tool in this workflow that doesn't have to be a recurring bill:
The lifetime math
0 of 25 claimed at €49 - then it’s €69.
Your AI/design stack, monthly
- Cursor€20/mo
- Claude Pro€20/mo
- v0€20/mo
- Figma Dev Mode€15/mo
- MiroMiro Pro (monthly)€9/mo
Every year. Forever. Until you cancel.
MiroMiro lifetime - one-time
Paid once. Used forever. No renewals.
- Pays for itself in 6 months vs Pro monthly
- €59 saved in year 1 alone
- One less monthly bill in your stack, permanently
Ready to speed up your workflow?
Join 20,000+ designers and developers who save hours every week with MiroMiro.
Soraia · Founder of MiroMiro
Soraia builds MiroMiro, a Chrome extension used by 20,000+ designers and developers to extract clean code, design tokens, and assets from live websites. These guides come from testing the workflow daily on real sites like Stripe, Linear, and Vercel.
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