If you want to learn:
- How to build a voice agent using n8n workflow automation?
- How to integrate ElevenLabs voice AI with webhooks for real-time conversations?
- How to connect speech-to-text transcription with an AI agent in n8n?
- How to troubleshoot and fix common errors when building AI voice agents?
- How to create a conversational AI receptionist that responds with natural voice?
- How to use API calls to transform audio into text and back to speech in a workflow?
Then this lecture is for you!
This hands-on tutorial demonstrates how to build a functional AI voice agent using n8n workflow automation, webhooks, and the ElevenLabs API. You'll follow a step-by-step process where audio is captured from a web page, posted to an n8n webhook, transcribed into text using ElevenLabs conversational AI, processed through an AI agent powered by Gemini, and converted back to speech for real-time voice responses. The lecture covers practical troubleshooting of common integration errors, including fixing undefined properties and configuring node connections properly. You'll learn how to set up the complete workflow from webhook configuration to audio response handling, understand how to use expression evaluation for data transformation, and see the entire voice AI agent process in action. The tutorial also explores how this n8n workflow template can be extended with memory, tools, and embedded into applications like WordPress sites, providing a foundation for building more complex conversational AI systems with low-latency voice interactions.