(5/5)

Lmchatopenai Workflow

Automated workflow: Lmchatopenai Workflow. This workflow integrates 15 different services: stickyNote, httpRequest, agent, splitOut, googleDrive. It contains 38 nodes and follows best practices for error handling and security.

Integrations Used (4)

Workflow Structure (19 nodes)

100%

Manual Trigger

When clicking "Test workflow"

Google Calendar

Get Calendar Event

Http Request

Get Meeting ConferenceRecords

Http Request

Get Meeting Transcript Location

Google Drive

Get Transcript File

Extract From File

PDF Loader

No Op

OpenAI Chat Model1

No Op

AI Agent

No Op

Schedule Meeting

No Op

Structured Output Parser

Execute Workflow Trigger

Set

Edit Fields

Set

Fallback Response

Switch

Actions Router

Google Calendar

Create Calendar Event1

Set

Get Attendees

Split Out

Attendees List

Google Calendar

Add Attendee to Invite

Set

Response

Node Types:

default

http

action

trigger

transform

logic

Requires credentials

Prerequisites

Required Credentials (4)

Google Calendar

Used by: Get Calendar Event, Add Attendee to Invite +1 more

Docs

Google Drive

Used by: Get Transcript File

Docs

Google OAuth2

Used by: Get Meeting ConferenceRecords, Get Meeting Transcript Location

Docs

OpenAI

Used by: OpenAI Chat Model1

Docs

Multiple services required

This workflow needs 4 different credentials. Make sure you have accounts for all services before importing.

Complexity

Advanced

Expert level. Custom code, complex logic, many integrations.

Setup time: ~55 min

Score: 70/100

Conditional Logic

7 Integrations

When to Use This Workflow

Real-time Response

React instantly when events happen - new orders, form submissions, or API calls.

Zero delay between trigger and action for time-sensitive workflows.

Time Savings

Replace repetitive manual tasks with reliable automation.

Reclaim hours every week for higher-value work.

Error Reduction

Eliminate human error from routine processes with consistent automation.

Improve accuracy and reliability across your workflows.

workflow.json

{
  "meta": {
    "instanceId": "workflow-3b93ab48",
    "versionId": "1.0.0",
    "createdAt": "2025-09-29T07:07:53.674131",
    "updatedAt": "2025-09-29T07:07:53.674151",
    "owner": "n8n-user",
    "license": "MIT",
    "category": "automation",
    "status": "active",
    "priority": "high",
    "environment": "production"
  },
  "nodes": [
    {
      "id": "bec5c6c1-52d4-4665-b814-56a6bb82ea6b",
      "name": "OpenAI Chat Model1",
      "type": "n8n-nodes-base.noOp",
      "position": [
        800,
...