Optimize classroom schedules and resolve conflicts with GPT-4o and Google Calendar

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1. Workflow Overview

How It Works This workflow automates competitive intelligence gathering and market analysis for businesses needing real time insights on competitors, industry trends, and market positioning. Design...

Best for

Project Management automation workflows
AI RAG automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.scheduletrigger, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.outputparserstructured, @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.switch, n8n-nodes-base.slack, n8n-nodes-base.emailsend

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Cheng Siong Chin.

Original n8n.io source

1.1 Workflow description

Title: Optimize classroom schedules and resolve conflicts with GPT-4o and Google Calendar
Workflow name: Optimize classroom schedules and resolve conflicts with GPT-4o and Google Calendar

How It Works

This workflow automates competitive intelligence gathering and market analysis for businesses needing real-time insights on competitors, industry trends, and market positioning. Designed for marketing teams, strategy analysts, and business development professionals, it solves the time-intensive challenge of manually monitoring competitor activities across multiple channels. The system schedules regular data collection, fetches competitor information from various sources, employs multiple AI agents (OpenAI for analysis, sentiment evaluation, and report generation) to process data, validates outputs through structured parsing, and delivers comprehensive reports via email. By automating data aggregation, sentiment analysis, and insight generation, organizations gain actionable intelligence faster, identify market opportunities proactively, and maintain competitive advantage through continuous monitoring—essential for dynamic markets where timing determines success.

Setup Steps

Connect Schedule Trigger (set monitoring frequency: daily/weekly)
Configure Fetch Data node with competitor website URLs/APIs
Add OpenAI API keys to all AI agent nodes
Link Google Sheets credentials for storing historical analysis data
Configure Gmail node with SMTP credentials for report distribution
Set up Slack/Discord webhooks for instant critical alert notifications

Prerequisites

OpenAI API account (GPT-4 recommended), competitor data sources/APIs

Use Cases

SaaS competitor feature tracking, retail pricing intelligence

Customization

Modify AI prompts for industry-specific metrics, adjust sentiment thresholds for alert triggers

Benefits

Reduces research time by 85%, provides 24/7 competitor monitoring, eliminates manual data aggregation

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Schedule Trigger

Type / Role: n8n-nodes-base.scheduleTrigger - scheduleTrigger
Config choices: Version 1.3

Block 2 - Workflow Configuration

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 3 - Prepare Scheduling Data

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 4 - OpenAI Model - Resource Agent

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.3

Block 5 - Resource Analysis Output Parser

Type / Role: @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices: Version 1.3

Block 6 - Resource Analysis Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 3.1

Block 7 - OpenAI Model - Operations Agent

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.3

Block 8 - Operations Output Parser

Type / Role: @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices: Version 1.3

Block 9 - Operations Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 3.1

Block 10 - Route by Severity

Type / Role: n8n-nodes-base.switch - switch
Config choices: Version 3.4

Block 11 - Notify Critical Conflicts

Type / Role: n8n-nodes-base.slack - slack
Config choices: Version 2.4

Block 12 - Email Scheduling Recommendations

Type / Role: n8n-nodes-base.emailSend - emailSend
Config choices: Version 2.1

Block 13 - Log Results

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 14 - OpenAI Model - Optimization Agent

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.3

Block 15 - Optimization Output Parser

Type / Role: @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices: Version 1.3

Block 16 - Schedule Optimization Agent Tool

Type / Role: @n8n/n8n-nodes-langchain.agentTool - agentTool
Config choices: Version 3

Block 17 - Conflict Score Calculator Tool

Type / Role: @n8n/n8n-nodes-langchain.toolCode - toolCode
Config choices: Version 1.3

Block 18 - Google Calendar Tool

Type / Role: n8n-nodes-base.googleCalendarTool - googleCalendarTool
Config choices: Version 1.3

Block 19 - Calculate Historical Patterns

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 20 - Merge Analysis Results

Type / Role: n8n-nodes-base.merge - merge
Config choices: Version 3.2

Block 21 - Check Auto-Resolution Possible

Type / Role: n8n-nodes-base.if - if
Config choices: Version 2.3

Block 22 - Apply Auto-Resolution

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 23 - Generate Conflict Report

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 24 - Merge Resolution Paths

Type / Role: n8n-nodes-base.merge - merge
Config choices: Version 3.2

Showing the first 24 of 34 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow	Optimize classroom schedules and resolve conflicts with GPT-4o and Google Calendar
Complexity	advanced
Nodes	34
Categories	Project Management, AI RAG
Author	Cheng Siong Chin
Published	12 Feb 2026

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/13319/13319.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Project Management workflows AI RAG workflows

Frequently asked questions

What does Optimize classroom schedules and resolve conflicts with GPT-4o and Google Calendar do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Project Management, AI RAG use case.

Cheng Siong Chin

203 workflows

Nodes

n8n-nodes-base.scheduletrigger n8n-nodes-base.set @n8n/n8n-nodes-langchain.lmchatopenai @n8n/n8n-nodes-langchain.outputparserstructured @n8n/n8n-nodes-langchain.agent n8n-nodes-base.switch n8n-nodes-base.slack n8n-nodes-base.emailsend

Complexity

advanced

Published 12 Feb 2026

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/13319/13319.json

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Optimize classroom schedules and resolve conflicts with GPT-4o and Google Calendar

Workflow preview

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

How It Works

Setup Steps

Prerequisites

Use Cases

Customization

Benefits

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Schedule Trigger

Block 2 - Workflow Configuration

Block 3 - Prepare Scheduling Data

Block 4 - OpenAI Model - Resource Agent

Block 5 - Resource Analysis Output Parser

Block 6 - Resource Analysis Agent

Block 7 - OpenAI Model - Operations Agent

Block 8 - Operations Output Parser

Block 9 - Operations Agent

Block 10 - Route by Severity

Block 11 - Notify Critical Conflicts

Block 12 - Email Scheduling Recommendations

Block 13 - Log Results

Block 14 - OpenAI Model - Optimization Agent

Block 15 - Optimization Output Parser

Block 16 - Schedule Optimization Agent Tool

Block 17 - Conflict Score Calculator Tool

Block 18 - Google Calendar Tool

Block 19 - Calculate Historical Patterns

Block 20 - Merge Analysis Results

Block 21 - Check Auto-Resolution Possible

Block 22 - Apply Auto-Resolution

Block 23 - Generate Conflict Report

Block 24 - Merge Resolution Paths

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions