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Generate research-backed curriculum plans with GPT-4o, Perplexity and Google Sheets

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1. Workflow Overview

How It Works This workflow automates end to end curriculum planning using a multi agent AI architecture in n8n. Designed for educators, instructional designers, and academic institutions, it elimin...

Best for

  • Document Extraction automation workflows
  • AI Chatbot automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.manualtrigger, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.memorybufferwindow, @n8n/n8n-nodes-langchain.agenttool, @n8n/n8n-nodes-langchain.toolserpapi, n8n-nodes-base.perplexitytool, @n8n/n8n-nodes-langchain.toolwikipedia

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
Generate research-backed curriculum plans with GPT-4o, Perplexity and Google Sheets
Workflow name
Generate research-backed curriculum plans with GPT-4o, Perplexity and Google Sheets

How It Works

This workflow automates end-to-end curriculum planning using a multi-agent AI architecture in n8n. Designed for educators, instructional designers, and academic institutions, it eliminates the manual effort of researching, structuring, and assessing curriculum content. A Curriculum Supervisor Agent orchestrates three specialised sub-agents: a Research Agent (using Google Search, Perplexity, and Wikipedia), a Content Creation Agent (using GPT for drafting), and an Assessment Agent (using a calculator and code tools). Planning memory persists context across agent interactions. Once all agents complete their tasks, the Prepare Curriculum Data node formats the output, which is then stored in Google Sheets. This pipeline ensures coherent, research-backed, assessment-ready curriculum plans are generated and stored automatically with minimal human intervention.

Setup Steps

  1. Connect OpenAI credentials to Supervisor, Research, Content, and Assessment model nodes.
  2. Add Google Custom Search API key to the Google Search Tool node.
  3. Configure Perplexity API key in the Perplexity Research Tool node.
  4. Authenticate Google Sheets with OAuth2; set target sheet in Store Curriculum Plan node.
  5. Verify Planning Memory node is linked to the Supervisor Agent for context persistence.

Prerequisites

  • Google Custom Search API key
  • Perplexity API key
  • Google Sheets OAuth2 credentials

Use Cases

  • University course redesign aligned to industry trends

Customisation

  • Add email output via Gmail node post-storage

Benefits

  • Cuts curriculum planning time by 70%+

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 - Start Curriculum Planning

Type / Role
n8n-nodes-base.manualTrigger - manualTrigger
Config choices
Version 1

Block 2 - Curriculum Supervisor Agent

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

Block 3 - Supervisor Model

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

Block 4 - Planning Memory

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

Block 5 - Research Agent

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

Block 6 - Research Model

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

Block 7 - Content Creation Agent

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

Block 8 - Content Model

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

Block 9 - Assessment Agent

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

Block 10 - Assessment Model

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

Block 11 - Google Search Tool

Type / Role
@n8n/n8n-nodes-langchain.toolSerpApi - toolSerpApi
Config choices
Version 1

Block 12 - Perplexity Research Tool

Type / Role
n8n-nodes-base.perplexityTool - perplexityTool
Config choices
Version 1

Block 13 - Wikipedia Tool

Type / Role
@n8n/n8n-nodes-langchain.toolWikipedia - toolWikipedia
Config choices
Version 1

Block 14 - Calculator Tool

Type / Role
@n8n/n8n-nodes-langchain.toolCalculator - toolCalculator
Config choices
Version 1

Block 15 - Code Tool

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

Block 16 - Google Sheets Tool

Type / Role
n8n-nodes-base.googleSheetsTool - googleSheetsTool
Config choices
Version 4.7

Block 17 - Store Curriculum Plan

Type / Role
n8n-nodes-base.dataTable - dataTable
Config choices
Version 1.1

Block 18 - Prepare Curriculum Data

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

Block 19 - Sticky Note

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 20 - Sticky Note1

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 21 - Sticky Note2

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 22 - Sticky Note3

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 23 - Sticky Note4

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 24 - Sticky Note5

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Showing the first 24 of 26 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow Generate research-backed curriculum plans with GPT-4o, Perplexity and Google Sheets
Complexity advanced
Nodes 26
Categories Document Extraction, AI Chatbot
Author Cheng Siong Chin
Published 11 Mar 2026

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/13995/13995.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

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

  4. 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. 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.

Frequently asked questions

What does Generate research-backed curriculum plans with GPT-4o, Perplexity and Google Sheets do?

How It Works This workflow automates end to end curriculum planning using a multi agent AI architecture in n8n. Designed for educators, instructional designers, and academic institutions, it elimin...

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 Document Extraction, AI Chatbot use case.