Uploaded April 2025 | Updated September 2026, 3 weeks ago
🚀 Access ALL video resources & get personalized help in my community:
skool.com/agentic-labs/about?ref=3fd61190e13d426dbf4f3b38adc7de69
🚀 Start building with n8n (use my link to support my channel ❤️): n8n.partnerlinks.io/f7f19w3vrhin
💬 My AI voice-to-text software (Wispr Flow): wisprflow.ai/r?LEON114
☕ Buy me a coffee: buymeacoffee.com/leonvanzyl
💵 Donate using PayPal: paypal.com/ncp/payment/EKRQ8QSGV6CWW
📝 Download the Workflow: github.com/leonvanzyl/n8n-workflows/tree/main/2025/whatsapp-agent
Learn how to build a sophisticated WhatsApp AI agent using N8N workflow automation in this step-by-step tutorial. Transform your WhatsApp experience with an intelligent assistant capable of processing text, images, and voice messages while responding with both text and audio replies. This comprehensive guide walks you through the entire process from setting up the Meta Developer platform to creating a fully functional AI-powered WhatsApp bot. The tutorial covers everything you need: configuring the WhatsApp Business Cloud API, building dynamic N8N workflows, implementing OpenAI for voice transcription and image analysis, and creating conditional paths for different message types.
Key features demonstrated include:
- Processing and responding to text messages
- Transcribing voice messages and generating audio responses
- Analyzing images and answering questions about them
- Maintaining conversation memory and context
- Integrating web search for real-time information
- Accessing emails and to-do lists
Perfect for automation enthusiasts, business owners wanting to enhance customer service, or developers looking to build practical AI applications. Download the workflow template for free and start building your own WhatsApp AI agent today!
🕒 TIMESTAMPS:
00:00 - Intro
00:39 - Demo
02:26 - Meta Whatsapp App setup
04:32 - n8n Whatsapp Trigger
06:05 - Adding AI Agent
07:51 - Response to Whatsapp
09:26 - Handling different input types
13:47 - Audio Input
17:11 - Respond with Audio
21:08 - Image Input
25:45 - Tools
26:28 - Note on Meta Verification
🚀 Access ALL video resources & get personalized help in my community:
skool.com/agentic-labs/about?ref=3fd61190e13d426dbf4f3b38adc7de69
🚀 Start building with n8n (use my link to support my channel ❤️): n8n.partnerlinks.io/f7f19w3vrhin
💬 My AI voice-to-text software (Wispr Flow): wisprflow.ai/r?LEON114
☕ Buy me a coffee: buymeacoffee.com/leonvanzyl
💵 Donate using PayPal: paypal.com/ncp/payment/EKRQ8QSGV6CWW
📝 Download the Workflow: github.com/leonvanzyl/n8n-workflows/tree/main/2025/whatsapp-agent
Learn how to build a sophisticated WhatsApp AI agent using N8N workflow automation in this step-by-step tutorial. Transform your WhatsApp experience with an intelligent assistant capable of processing text, images, and voice messages while responding with both text and audio replies. This comprehensive guide walks you through the entire process from setting up the Meta Developer platform to creating a fully functional AI-powered WhatsApp bot. The tutorial covers everything you need: configuring the WhatsApp Business Cloud API, building dynamic N8N workflows, implementing OpenAI for voice transcription and image analysis, and creating conditional paths for different message types.
Key features demonstrated include:
- Processing and responding to text messages
- Transcribing voice messages and generating audio responses
- Analyzing images and answering questions about them
- Maintaining conversation memory and context
- Integrating web search for real-time information
- Accessing emails and to-do lists
Perfect for automation enthusiasts, business owners wanting to enhance customer service, or developers looking to build practical AI applications. Download the workflow template for free and start building your own WhatsApp AI agent today!
🕒 TIMESTAMPS:
00:00 - Intro
00:39 - Demo
02:26 - Meta Whatsapp App setup
04:32 - n8n Whatsapp Trigger
06:05 - Adding AI Agent
07:51 - Response to Whatsapp
09:26 - Handling different input types
13:47 - Audio Input
17:11 - Respond with Audio
21:08 - Image Input
25:45 - Tools
26:28 - Note on Meta Verification
