AI Agents

Process Inquiries with AI and Log Results to Spreadsheets

21 nodes 418 184 Automatic trigger
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Workflow Description

An automation workflow that receives user inquiries through a chat interface, processes them using OpenAI language models, and automatically records responses and extracted data in Google Sheets for easy tracking and efficient analysis.

How it works

  1. 1.Activate chat trigger and receive user question
  2. 2.Process text through LLM chain and send to OpenAI
  3. 3.Retrieve response and extracted data from the model
  4. 4.Transform and format results as needed
  5. 5.Record inquiry and response in Google Sheets

Use cases

  • Build an intelligent customer support system that auto-documents every interaction
  • Collect user inquiry data and analyze trends systematically
  • Automate responses to frequent questions while maintaining logs

Requirements

  • Valid OpenAI API key with appropriate permissions
  • Google account with edit access to spreadsheets
  • Pre-configured Google Sheets with proper column headers

Service Value

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

Apps Used

Chat Trigger OpenAI Google Sheets LLM Chain

Details

Trigger Automatic trigger
Nodes 21
Apps 4
Views 418
Downloads 184

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 (21)

/

Sticky Note

Sticky Note

#1

Get Models

HTTP Request

#2

Sticky Note1

Sticky Note

#3

When chat message received

Chat Trigger

#4

Sticky Note2

Sticky Note

#5

Sticky Note3

Sticky Note

#6

Get timeDifference

Date Time

#7

Sticky Note4

Sticky Note

#8

Sticky Note5

Sticky Note

#9

Sticky Note6

Sticky Note

#10

Run Model with Dunamic Inputs

OpenAI

#11

Analyze LLM Response Metrics

Code

#12

Save Results to Google Sheets

Google Sheets

#13

Capture End Time

Date Time

#14

Capture Start Time

Date Time

#15

Prepare Data for Analysis

Set

#16

Extract Model IDsto Run Separately

Split Out

#17

Sticky Note7

Sticky Note

#18

Add System Prompt

Set

#19

LLM Response Analysis

LLM Chain

#20

Sticky Note8

Sticky Note

#21