Typing is old-school. In 2026, your voice should run your workflows.
In today’s episode of the n8n AI Automation Mastery course, we build a complete AI Voice Assistant system using n8n, Gemini, and Supabase PostgreSQL.

A user simply records their voice on a web page, assigns a task naturally, and the entire workflow runs automatically using AI.

But here’s the powerful part:
before executing anything, the system pauses and lets the human verify and edit the AI-generated text — exactly how real-world AI systems avoid mistakes.

This is not a basic chatbot project.
This is a real AI workflow architecture used in modern automation systems.

In this project, we:
* Build a frontend voice recording web app
* Connect frontend with n8n using Webhooks
* Use Gemini Audio Analysis for voice-to-text conversion
* Implement Human in the Loop approval system
* Generate professional task emails using AI
* Parse and structure AI output using Code Node
* Send emails automatically using Gmail
* Store workflow data inside Supabase PostgreSQL

Workflow:
Voice Input → n8n Webhook → Gemini AI → Human Approval → AI Email Generation → Gmail → Supabase DB

By the end of this video, you’ll understand how modern AI voice workflows actually work behind the scenes.

This video is part of:
n8n AI Automation Mastery — Zero to Job-Ready (2026)
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The Techzeen Website:
https://www.thetechzeen.com/

Source Code: https://github.com/farzeen-ali/Voice-Assistant-n8n

AI Automation Concepts:
https://github.com/farzeen-ali/AI-Automation-Concepts

n8n AI Automation Full Course (2026):
https://www.youtube.com/playlist?list=PL5OhSdfH4uDvUeV9hOqg1XEl3IPMyteZu

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