30 Minutes Saved Every Day — With a $6/Month Automation

Table of Contents
Sarah manages catering requests for Fuel Bakehouse. Every quote request followed the same five-step manual process: extract customer details from email, populate a spreadsheet, generate a quote in Excel, fill in an email template, attach the PDF, and send it. She was doing this 6 times a day, 6 days per week.
I met Sarah at Dale Beaumont’s AI in Business seminar. A month later, I had something built for her.
What I Built #
An automation workflow that handles most of it. The moment an email arrives, it:
- Extracts the customer details
- Writes them into her spreadsheet
- Generates the email
- Attaches the menu PDF
- Alerts Sarah to review, attach the quote, and send

The Technical Stack #
- Gmail filter + label to detect incoming quote requests the moment they arrive
- n8n on a DigitalOcean VPS ($6/month) triggered on that label
- AI Agent to extract customer details from the email and write them into the right columns in Google Sheets
- Code nodes to format dates correctly before insertion
- Auto-generated email: subject, body, dates, menu PDF attached, addressed to the customer
- Label update to mark emails as processed
- Telegram alert to Sarah so she can review, generate the quote, attach it, and send
- Error handler that fires a Telegram message if anything breaks
The Result #
5 minutes saved per quote request.
6 requests a day × 6 days a week = 30 minutes daily, 15 hours a month back in her pocket.
Running cost: $6/month.
The Lesson #
I used to build n8n workflows node by node. Now I use Claude Code to build them in a fraction of the time.
If you’ve mapped out an online process clearly enough that someone new could follow it — AI can be trained to do it too.
With full website access, this project could have expanded to include a Voice AI agent, auto-generated quotes, and a custom order management app. That’s the next conversation.