AI Agents
Connect Twilio with Airtable
12 nodes
218
127
Automatic trigger
Workflow Description
An intelligent automation template that connects incoming Twilio messages to an AI Agent, extracts relevant data, and stores it in Airtable, while maintaining a rolling conversation memory for continuous context improvement.
How it works
- 1.Receive incoming messages via Twilio trigger
- 2.Route messages to OpenAI-powered AI Agent for intelligent processing
- 3.Extract relevant data fields from message content
- 4.Store extracted data automatically in designated Airtable table
- 5.Maintain conversation history in application memory buffer
- 6.Send intelligent responses back through Twilio to sender
Use cases
- Capture and organize customer inquiries from SMS into a searchable database
- Process voice-based customer requests and auto-categorize them for team follow-up
Requirements
- Active Twilio account with verified phone number for receiving messages
- Pre-configured Airtable base with structured tables for data storage
- Valid OpenAI API key for AI Agent processing
- Enabled memory buffer to track multi-turn conversation history
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
Twilio
Airtable
AI Agent
OpenAI
Memory
Details
Trigger
Automatic trigger
Nodes
12
Apps
5
Views
218
Downloads
127
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 (12)
/
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