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
Back to feedPost
This project showcases the final client-facing output of an end-to-end CRM automation built using n8n and the Meta WhatsApp Cloud API. The core objective was to eliminate manual follow-ups and instantly deliver highly personalized property matches to potential leads.
Project Name - Property Matching engine
Tools used-n8n, WhatsApp API, Tally, Google Sheets, OpenAI
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
Related posts
Just wrapped up an AI voice agent for a residential cleaning business 🎙️ It handles the full call end to end — checks service area, gives a live quote, checks real calendar availability, and books the appointment straight onto Google Calendar. Built with Vapi + n8n + Google Calendar API. Portfolio build, but fully working — swipe through the n8n workflow in the video 👀
#aiworkflow #automation #voiceai
Normal work disappears. Genuine judgment surfaces.
I built Northline Flow for @Lovable’s #lovablechallenge — a fictional owner-operated home-services business in Surrey, BC.
I didn’t want to build another prettier scheduler. The problem I wanted to attack was the handling around the booking.
Routine requests can continue toward booking. Genuine ambiguity reaches the owner as one framed decision. Unsafe or wrong-fit requests stop instead of being forced into the normal booking path.
I also built a deterministic test harness and a playable Morning Shift proof mode: three fictional requests enter the same routing rules, but only one requires a human decision.
The part I’m most excited about is that the challenge itself became reusable. We captured the process from brief → working flow → adversarial testing → cinematic donor → bounded visual integration → playable proof → final freeze.
Built in Lovable.
AI AutomationBusiness Workflow AutomationProduct DesignChatGPTGoogle AntigravityLovablelovablechallenge
Built an automated lead enquiry workflow using n8n to handle incoming WhatsApp enquiries, process contact information, trigger automated responses and update customer data.
The workflow connects multiple steps into one system, reducing manual handling and making sure new enquiries are processed consistently.
Built with: n8n, WhatsApp, webhooks, APIs and custom logic.
The focus was simple: turn an incoming enquiry into an organized, automated workflow without requiring someone to manually process every step.
