Message Buffering for AI Response in Twilio

• Automate responses to customer inquiries in real-time
• Buffer and analyze multiple messages before responding
• Enhance customer service efficiency with AI-generated replies
• Utilize Redis for effective message management and storage

Triggers on new messages received via Twilio Stores incoming messages in a Redis stack Waits for a set duration to capture additional messages Checks if the latest message is the same as the incoming one Retrieves chat history and buffers messages for AI processing Generates a single response using OpenAI based on buffered messages Sends the AI-generated response back to the user via Twilio

1. 1
   Import the workflow template into your n8n instance
2. 2
   Connect your Twilio account to the Twilio Trigger node
3. 3
   Set up your Redis account for message storage
4. 4
   Configure the OpenAI credentials for AI response generation
5. 5
   Test the workflow by sending a message to your Twilio number