If you want to learn:
How do I connect ElevenLabs voice agents with n8n workflows using webhooks?
What's the best way to build a production-ready AI voice agent with custom tools?
How can I integrate conversational AI with automated workflows for real-time responses?
What are the steps to configure webhook tools in ElevenLabs to call external APIs?
How do I deploy a voice agent to production that can handle multiple questions?
What's the difference between using chat triggers and webhook nodes in n8n for voice agents?
Then this lecture is for you!
This hands-on tutorial demonstrates how to build a production voice agent by integrating ElevenLabs conversational AI with n8n workflow automation using webhooks. You'll learn the step-by-step process of configuring a custom webhook tool in ElevenLabs that calls an n8n workflow to retrieve real-time data from Google Sheets. The lecture covers troubleshooting common integration issues, properly configuring webhook nodes to capture JSON body parameters, and setting up the AI agent node to process voice queries. You'll discover how to structure POST requests with custom fields, connect ElevenLabs voice agents to external business logic, and deploy both platforms to production for seamless multi-turn conversations. The tutorial walks through the complete round-trip flow from voice input through webhook triggers to AI processing and back to voice output, demonstrating how to achieve lower latency responses compared to traditional chat-based approaches. By the end, you'll have a fully functional voice-driven assistant that can interact with your data sources and handle follow-up questions in real-time using no-code automation tools.