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Built a fully automated Instagram Comment-to-DM system using the Meta Graph API and n8n. When users comment on a post or reel with a specific keyword, the workflow automatically detects the comment, checks required conditions, and sends a personalised Instagram Direct Message. The automation includes webhook integration, API authentication, error handling, and scalable workflows, helping businesses capture leads and engage customers instantly without manual effort.
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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This is my AI Customer Support and Lead Generation Agent, built with n8n.
The workflow starts when a customer sends a message. The AI Agent understands the customer's request and responds automatically.
It also uses conversation memory to maintain context during the conversation.
When a customer wants to place an order, the agent collects important details such as their name, phone number, email, service, quantity, and requirements.
Finally, the customer's information is automatically saved into Google Sheets as a new lead.
This automation helps businesses handle customer inquiries and organize leads without manual work.
Agents are amazing. Building & using them is a genuine wise career choice in my opinion.
Designed and built the core product experience for Beauto, an AI-powered automation tool for small businesses.
What I did:
AI Assistant — chat interface where users describe a task and the AI builds the automation, with proactive, impact-ranked suggestions
Integrations hub — searchable library of one-click connections (Calendar, Stripe, HubSpot, Slack, etc.)
Analytics dashboard — automations run, hours saved, and conversion rate at a glance
Result: A chat-first flow that felt far less intimidating than traditional automation builders in user testing, driving most new automations created.
So creative 👏
The Head of Marketing at Clerkenwell Health told me their Squarespace site looked like a small clinic. They were doing clinical trials for 50,000+ participants, licensed by the Home Office, but their web presence was costing them credibility before the first call.
Pharma sponsors and CROs Google them before every partnership conversation. The site was creating a bad first impression, making conversations harder than they needed to be.
What they said they needed was a 'website refresh'. What they actually needed was to stop actively losing trust the moment a prospect hit their homepage.
We moved them to Framer, preserved 60 blog articles with full SEO, and built n8n automation for inquiry routing. Zero downtime on launch.
It's not just about a site update. It's about what happens when your external image no longer matches your internal scale. What are the silent costs when that gap gets too wide?
That’s a wise approach. I’m currently exploring the combination of n8n and Framer as well, especially around AI-powered workflows and web design. It’s interesting to see how these tools are coming together.
