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Prompt to Prepare a Shopping Cart from a Recipe Photo

The author reports that Grok Bot receives a recipe photo, organizes the ingredients and quantities, and creates a shopping list by excluding ingredients already available at home.

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Send Only Customer Support Inquiries from Order Emails to the Support Center

AI classifies replies to order confirmation emails. Only emails that require customer support are sent to Freshdesk via n8n.

n8n

How it works

  1. Collected replies to order confirmation emails in a dedicated Gmail inbox.
  2. Used an AI classifier to determine if the email is an actual customer support request, then sent only those needing support to Freshdesk.

Results

This automation was created to gather inquiries that used to get lost in the general inbox and send them to the support center.

Notes

The classification criteria, actual accuracy, and complete workflow files are not included in the public description.

Source

Reddit Original post ↗

Example prompt · n8n

Implement an n8n workflow that sends only those replies to order confirmation emails which require customer support to Freshdesk.

Input: Receiving Gmail [account], criteria for support requests [classification table], actual email samples [data], Freshdesk connection [account]. First, verify each connection and the necessary permissions, then distinguish support requests from general replies using the samples.

Structure the AI classification results as: need for support, category, reasoning, and whether human review is needed. Apply only the defined scope such as order inquiries and delivery issues; send ambiguous emails for human review. Do not send general greetings, advertisements, or auto-replies to the support center.

For emails requiring support, preserve the original subject, body, sender, and email identifier when sending to Freshdesk. Ensure that reading the same email again does not create duplicate tickets, and leave failed deliveries in a failed state.

Deliverables: Workflow JSON, classification guidelines, and setup instructions. Test with support requests, thank-you notes, advertisements, ambiguous inquiries, duplicate emails, and failed deliveries, and compare classification results with human-labeled answers to show any incorrect cases.