Answer patient enquiries for a clinic by chat
An n8n and Gemini agent receives patient chat messages, keeps context, uses clinic info from Google Sheets and responds to enquiries.
The poster built a tool that pulls invoices from Gmail and organizes them with AI, with possible QuickBooks or Xero integration.
The poster built a tool that pulls invoices from Gmail and organizes them with AI, with possible QuickBooks or Xero integration.
The poster built Invoice Agent for teams that still handle vendor invoices through email. It connects to Gmail or Outlook, detects incoming invoice emails, uses AI to extract the key details, and puts them into a searchable place; at the time of the post, the human’s role was still validating the workflow, pricing, and positioning through feedback.
The post gives no usage or accuracy numbers yet; it presents the product as a side project in validation. In comments, the poster says QuickBooks/Xero-style integrations and better hands-off behavior were still being worked on.
This was still at the feedback stage, so the main catch is that the source does not provide implementation details, costs, or time savings yet.
Write me a small tool that connects to my Gmail [account], finds invoice emails and PDF attachments from [date range], and saves them into folders by [vendor or month]. It should also produce a spreadsheet with vendor, date, amount, and invoice number. Run it on a sample of [number] emails first and show me the results before processing everything; read-only access to Gmail only.
An n8n and Gemini agent receives patient chat messages, keeps context, uses clinic info from Google Sheets and responds to enquiries.
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