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This is a CRM pipeline automation that manage client onboarding , data entry , task assignment, team management and customer follow-ups .
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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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!
This is the kind of workflow that quietly kills 30% of design busywork 👀
THE DEATH OF "IF-THIS-THEN-THAT"
The "Zapier Era" is officially over.
In 2026, simple automation isn't enough. If your workflows can’t reason, they are already obsolete.
Most businesses are still stuck in the "Trigger-Action" loop.
They move data from A to B.
Then a human has to check it.
That’s not automation.
That’s just a digital relay race.
Here is the 2026 Reality: Agentic Workflows.
Unlike old bots, Agents don’t follow a fixed path. They understand the Goal.
What most people don't realize yet:
In 2026, the real power isn't in the LLM.
It’s in the Orchestration.
I’m building "Zero-Touch" systems at Logic Issue that think for you:
The Lead Brain: It doesn't just "capture" a lead. It researches their latest LinkedIn post, checks their company’s annual report, and crafts a hyper-personalized strategy before you even see the notification.
The Content Brain: It turns a single URL into a cinematic, voiced, and edited video ad in 4 minutes. No human editor required.
The shift is simple:
2024 was the year of "Chatting with AI."
2026 is the year of "Architecting AI."
Stop building "bots." Start building Infrastructure.
Where is your biggest bottleneck right now?
Data Research
Content Production
Lead Qualification Drop a "1, 2, or 3" in the comments. I’ll reply with a specific Agentic Logic map to solve it.
AI Automation Systems for E-commerce & Business Workflows
I build AI automation systems for Shopify stores to simplify operations and reduce manual work.
The goal of this project was to create a system that handles repetitive tasks automatically so the business can focus on growth and sales.
I set up automated workflows for customer communication, order updates, and internal processes to improve speed and efficiency.
I also connect different tools to ensure smooth data flow and reduce delays in daily operations.
By putting this system in place, I help store owners save time, improve customer experience, and run their business more efficiently.
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