Process Twilio Messages with AI and Store in Airtable
Loading workflow…
Workflow Description
Automate receiving SMS messages from Twilio, process them through an AI agent powered by OpenAI, and store both the incoming messages and intelligent responses in Airtable, while maintaining conversation history for context-aware interactions.
How it works
- 1.Trigger workflow on incoming SMS message via Twilio
- 2.Pass message to AI agent for intelligent processing and response generation
- 3.Access conversation memory to maintain context from previous exchanges
- 4.Save original message, AI response, and metadata to Airtable tables
- 5.Send response back to customer via Twilio SMS
Use cases
- Build context-aware customer support chatbot that logs all interactions automatically
- Collect lead information from text inquiries and organize in structured database
- Create intelligent customer engagement system with persistent conversation history
Requirements
- Active Twilio account with verified phone number
- Airtable base with tables configured for messages and customer data
- OpenAI API key with appropriate permissions
- Reliable internet connection for real-time processing
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
Details
How to Use
- 1.Click "Download Template"
- 2.Open your n8n dashboard
- 3.Go to Workflows > Import from File
- 4.Select downloaded file and configure credentials
Nodes Used (11)
Twilio Trigger
Set
Search Available Courses
Airtable Tool
Get Course Database Schema
Airtable Tool
Get User Message
Set
Send SMS reply
Set
Append to Call Log
Airtable
Course Assistant Agent
Agent
Get List of Professors
Airtable Tool
Get List of Departments
Airtable Tool
Model
OpenAI
Memory
Memory Buffer Window
Sticky Note
Sticky Note
Fresh workflows, straight to your inbox
Get newly published DROPIDEA workflows, a clear overview of what they do, and a link to explore them.
- New workflows
- Clear overviews
- Setup guides