Freelancers using PaperFreelancers using Paper
Web Designer • Framer expert • Full-stack Design Partner
$50k+
Earned
19x
Hired
5.0
Rating
1.1K
Followers
Web Designer • Framer expert • Full-stack Design Partner
UI/UX | Branding | Product Designer⚡️
$50k+
Earned
27x
Hired
4.9
Rating
236
Followers
UI/UX | Branding | Product Designer⚡️
Product Designer & Framer Expert
$5k+
Earned
3x
Hired
5.0
Rating
60
Followers
Product Designer & Framer Expert
Modern web developer helping brands grow online.
$1k+
Earned
1x
Hired
149
Followers
Modern web developer helping brands grow online.
Cover image for Building a Zero-Touch Design Feedback
Building a Zero-Touch Design Feedback Loop with Slack and the @Paper MCP What if you never had to manually process a minor design revision again? As designers and developers, we easily waste 30% of our week fulfilling fast client requests—changing button colors, adjusting typography, or tweaking padding. I decided to completely automate this process. In this project, I engineered an autonomous AI-driven workflow that physically alters native UI designs based on conversational Slack messages, proving the massive potential of the Paper MCP. ✨ The Power of the Paper MCP: Historically, AI agents have struggled to actually "see" or edit design files. By deploying the Paper MCP, I gave a raw Large Language Model the ability to programmatically traverse a 2D design canvas. The Setup: I design the initial UI (like a Login Page) using Paper and post the screenshot to the client's Slack channel. The Trigger: The client requests changes natively in Slack by mentioning a custom @DesignBot (e.g., "Make the login button green and change the title to 'Welcome'"). The Execution: Instead of guessing layout geometry, the AI uses the Paper MCP to dynamically query the canvas, isolate the precise target node, and duplicate the master to create a protected variant. It aligns the new design on the canvas grid and updates the styling properties natively. The Delivery: The MCP server intercepts the final render state and pushes a flawlessly formatted screenshot right back into the Slack thread. 🛠️ Technical Stack Used: Paper MCP: The absolute core of the project, enabling rigorous JSON-RPC access to native design layers, text bounds, and styling hooks. Slack Bolt (Socket Mode): For threading logic, instant reaction processing, and conversational memory. Agentic LLM Engine: Used native OpenAI tool-calling to map the complex MCP schemas directly into the AI’s brain so it never hallucinates commands. The Result: Clients experience magical, instantaneous visual revisions directly inside their communication channels, while designers and developers win back hours of completely uninterrupted, deep-focus work. Check out the video demo below to see the AI leverage Paper MCP to parse a layer tree and dynamically manipulate the UI!
4
24
820
Creative Director & Product Designer
$1k+
Earned
5.0
Rating
121
Followers
Creative Director & Product Designer