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If your business still answers every call manually, you’re leaking time and leads.
I build Voice AI systems that: Answer calls, Qualify leads, Book appointments, Trigger follow-ups automatically.
Your phone becomes a sales machine, not a distraction.
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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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AI-Powered Outreach Automation (n8n)
Built a workflow that turns outreach into a structured pipeline.
The system:
• Pulls verified leads from Supabase
• Uses AI to generate personalized emails
• Sends outreach via Gmail
• Monitors replies and analyzes sentiment
• Routes responses automatically (book meeting, review, or archive)
• Sends follow-ups if there’s no reply after 48 hours
Result: a fully automated pipeline that moves leads → conversations → booked meetings.
Designed for creators, agencies, and teams running outbound outreach at scale.
Nice workflow. Using AI to personalize outreach and track replies in one pipeline is really useful.
For this challenge, I built a short story around one of my favorite chairs — the Wassily chair.
It’s a piece I’ve admired for a long time and hope to own someday. The design is simple, bold, and still feels incredibly modern almost a century later.
Using @Kittl Video, I visualized a small evolution leading up to it — starting from a primitive stool and gradually introducing structure, new materials, and modernist thinking.
Each step moves the design closer to what it would eventually become.
The sequence ends where the story was always going:
the Wassily chair (1925).
Design evolves. Icons remain.
Project Link
Loom Link
Behind the scenes of this piece!
https://www.loom.com/share/efa4cad2510f4bf6a69e21eeeb8bb926
Built a full-stack AI automation system that transforms how the company responds to RFPs.
Users upload RFP documents (PDF/Excel) through a web portal. An n8n pipeline processes the upload: AI parses the document to extract key fields (issuer, scope, budget, deadline), classifies the service line, matches content from an Airtable library (team bios, references, portfolio), and generates 80-90% complete proposal drafts with cover letter, company overview, technical approach, and more. Output is a formatted Word document ready for review.
Results:
✅ Reduced proposal creation from 4-6 hours to under 30 minutes
✅ 90% auto-complete rate on proposal sections
✅ 14+ RFPs processed through the pipeline
✅ Full proposal dashboard with status tracking
Tech: n8n, OpenAI, Airtable, Vercel, Webhooks
This is a really interesting automation workflow, Peter. Using AI to parse RFPs and streamline proposals is a smart use case.
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