AI Agents

Process customer inquiries with AI and log responses to spreadsheets

21 nodes 313 154 Automatic trigger
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Workflow Description

Automation that receives inquiries through a chat interface, processes them using OpenAI's language model with advanced reasoning chains, and automatically stores conversations and results in Google Sheets. Supports multi-branch logic and sophisticated data handling.

How it works

  1. 1.Receive user message through chat trigger interface
  2. 2.Process inquiry using OpenAI model and LLM chain logic
  3. 3.Format and split data according to custom rules
  4. 4.Record conversation and AI response in Google Sheets
  5. 5.Return answer to user in chat

Use cases

  • Intelligent customer support assistant that answers questions and documents all interactions
  • Automated multi-step request processing with persistent data analytics

Requirements

  • Valid OpenAI API key with appropriate model access
  • Google Sheets with proper permissions and configured columns

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 313
Downloads 154

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