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Just built my first AI automation workflow — a Telegram bot that logs expenses from voice notes or text.
How it works:
-Send it a voice note or a text message
-It transcribes and extracts the details (amount, category, date, etc.)
-Logs everything into a Google Sheet automatically
-Ask it a question about your spending, and it reads the sheet and answers
Still learning AI automation, but getting a full voice-to-database pipeline working end to end (Telegram → n8n → Google Sheets) felt like a solid first project.
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Every missed call is a lead one tap away from calling your competitor instead. So I built an n8n system that closes that gap automatically:
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📋 Every touchpoint logs to your CRM automatically — no spreadsheets, no gaps
16 nodes. Two entry points. Built on n8n + Twilio + JustCall + OpenAI, wired for Less Annoying CRM (or repoint the CRM steps at whatever you run — they're plain HTTP requests).
No monthly subscription. No vendor lock-in. Buy the template once, connect four credentials, and it's running on your own infrastructure — not another SaaS charging you forever for your own data.
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📩 DM me if you want this customized for your exact stack.
#Automation #n8n #AIAutomation #Twilio #NoCode #LeadGen #SalesOps #Contra #Freelance
I recently built this workflow in n8n to automate the first stage of handling customer support requests.
The idea was to take an incoming ticket and let the system handle the repetitive work:
→ Receive the customer request through a webhook
→ Process and structure the incoming data
→ Use an AI Agent to understand the ticket
→ Classify it as Genuine, Spam, or Unclear
→ Route it based on the classification
→ Trigger the appropriate email action
→ Log the interaction in Google Sheets
I also added an Unclear path so that tickets the AI isn’t confident about don’t get blindly processed.
The goal isn’t to remove humans from customer support.
It’s to reduce the repetitive sorting and routing work, so the team can spend more time on the requests that actually need their attention.
Would you automate customer support differently? I’d love to hear how you’d approach it.
The Unclear lane is exactly the right guardrail. I’d add two production checks: redact PII before sending ticket text to the model, and measure false-positive/false-negative rates by category rather than a single accuracy score. Logging resolutions and human overrides back into...
My recent client is an Australian printing firm.
They already had clients coming in.
The problem was what happened after the agreement.
When a client agrees to payment terms, every delay matters.
A payment process that sits waiting for someone to follow up can slow down the entire client journey. And when clients experience unnecessary delays, it can affect more than cash flow. It can affect their confidence in the business.
So I built an Agreed Payment System in Make.com designed around the client journey.
The goal wasn’t simply to automate emails.
It was to create a process that keeps agreed payments moving, keeps communication consistent, and reduces the amount of manual follow-up required from the team.
The workflow takes the agreed payment process and routes it through the appropriate steps, conditions, and Gmail communications.
The system helps keep the process moving.
And this is where my background in sales development and client retention comes into the automation work.
I don’t look at automation as:
Trigger → Action → Done.
I look at it as:
Lead → Sale → Client → Experience → Retention → Repeat business.
Because getting a client is only part of the job.
You also need systems that make it easy for that client to keep doing business with you.
Sales development + client retention + workflow automation.
That’s the intersection I build around.
Can any extra client we will build and team work
also interested?