AI Agents

Process Twilio Messages with AI and Store in Airtable

36 nodes 316 111 Automatic trigger
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Workflow Description

Automation that receives text messages via Twilio, analyzes them using OpenAI's advanced models, and automatically extracts and stores structured data in Airtable tables, with intelligent responses sent back to senders.

How it works

  1. 1.Receive incoming messages from Twilio and identify their content
  2. 2.Process text through LLM chain and analyze with artificial intelligence
  3. 3.Extract structured data and send it to Airtable
  4. 4.Verify output validity and fix errors automatically
  5. 5.Send intelligent reply to sender via Twilio

Use cases

  • Automatically collect and organize customer inquiries in a database
  • Process forms and requests received as text messages and save details
  • Create an organized record of customer interactions via SMS

Requirements

  • Active Twilio account with activated phone number
  • OpenAI API key for access to language models
  • Airtable database with tables configured to receive data

Service Value

Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.

Apps Used

Twilio OpenAI Airtable Output Parser LLM Chain HTTP Request AI Agent

Details

Trigger Automatic trigger
Nodes 36
Apps 7
Views 316
Downloads 111

How to Use

  1. 1.Click "Download Template"
  2. 2.Open your n8n dashboard
  3. 3.Go to Workflows > Import from File
  4. 4.Select downloaded file and configure credentials

Nodes Used (36)

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Twilio Trigger

Set

#1

OpenAI Chat Model1

OpenAI

#2

Find Follow-Up Candidates

Airtable

#3

Send Follow Up Message

Set

#4

Sticky Note

Sticky Note

#5

Update Follow-Up Count and Date

Airtable

#6

Create/Update Session

Airtable

#7

Get Existing Chat Session

Airtable

#8

Every 24hrs

Schedule Trigger

#9

Send Reply

Set

#10

Send Confirmation

Set

#11

User Request STOP

Airtable

#12

Check For Command Words

Switch

#13

Structured Output Parser

Output Parser Structured

#14

Auto-fixing Output Parser

Output Parser Autofixing

#15

OpenAI Chat Model2

OpenAI

#16

Sticky Note3

Sticky Note

#17

Sticky Note4

Sticky Note

#18

Sticky Note5

Sticky Note

#19

Sticky Note6

Sticky Note

#20

Sticky Note7

Sticky Note

#21

Sticky Note8

Sticky Note

#22

Sticky Note1

Sticky Note

#23

Generate Follow Up Message

LLM Chain

#24

Sticky Note2

Sticky Note

#25

Sticky Note9

Sticky Note

#26

OpenAI Chat Model3

OpenAI

#27

Get Availability

HTTP Request

#28

Get Existing Booking

HTTP Request

#29

Find Existing Booking

HTTP Request

#30

Reschedule Booking

HTTP Request

#31

Cancel Booking

HTTP Request

#32

Create a Booking

HTTP Request

#33

Sticky Note10

Sticky Note

#34

Sticky Note12

Sticky Note

#35

Appointment Scheduling Agent1

Agent

#36

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