Generate exam question papers with GPT-4 and email delivery

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Who Is This For? This workflow is designed for educators, universities, examination departments, and EdTech institutions that need a faster, smarter, and standardized way to prepare exam question p...

Best for

Content Creation automation workflows
AI Chatbot automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.formtrigger, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.merge, n8n-nodes-base.code, n8n-nodes-base.gmail, n8n-nodes-base.stickynote

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title: Generate exam question papers with GPT-4 and email delivery
Workflow name: Generate exam question papers with GPT-4 and email delivery

Who Is This For?

This workflow is designed for educators, universities, examination departments, and EdTech institutions that need a faster, smarter, and standardized way to prepare exam question papers.

What Problem Does This Solve?

Creating balanced, outcome-based question papers can take hours or even days of manual effort. Faculty often struggle to:

Ensure syllabus coverage across units
Maintain Bloom’s Taxonomy alignment
Keep a consistent difficulty balance
Format papers in institution-specific templates

How it works

This workflow automatically generates an exam question paper based on syllabus topics submitted via a form and sends it to the entered email address.

Here’s the flow in simple steps:

Form Submission – A student or faculty fills out a form with subject code, syllabus topics, and their email.

AI Question Generation – The workflow passes the syllabus to AI agents (Part A with 2 Marks, Part B with 13 Marks, and Part C with 14 Marks) to create question sets. The marks and the no. of question generated can be customized according to the convenience.

Merging Questions – All AI-generated questions are combined into a single structured document.

Format into HTML – The questions are formatted into a clean HTML exam paper (can also be extended to PDF).

Send by Email– The formatted exam paper is sent to the user’s email (with option to CC/BCC).

Set up steps

Connect Accounts

Connect your OpenAI (or LLM) credentials for AI-powered question generation.
Connect your Gmail (or preferred email service) to send emails.

Prepare Form

Create an n8n form trigger with required fields:
- Subject with Code
- Syllabus for Unit 1, 2, 3…
- Email to receive the paper

Customize Question Generation

Modify the AI prompts for Parts A, B, and C to fit your syllabus style (e.g., 2-mark, 13-mark, 14-mark).

Format the Exam Paper

Adjust the HTML template to match your institution’s exam paper layout.

Test & Deploy

Submit a test form entry.
Check the received email to ensure formatting looks good.
Deploy the workflow to production for real usage.

Need help customizing?

✉️ Contact Me 💼 LinkedIn

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 - On form submission

Type / Role: n8n-nodes-base.formTrigger - formTrigger
Config choices: Version 2.2

Block 2 - OpenAI Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.2

Block 3 - OpenAI Chat Model1

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.2

Block 4 - OpenAI Chat Model2

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.2

Block 5 - Part A QP Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 1.8

Block 6 - Part C QP Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 1.8

Block 7 - Structured Output Parser2

Type / Role: @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices: Version 1.2

Block 8 - Structured Output Parser1

Type / Role: @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices: Version 1.2

Block 9 - Structured Output Parser

Type / Role: @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices: Version 1.2

Block 10 - Part B QP Agent1

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 1.8

Block 11 - Merge

Type / Role: n8n-nodes-base.merge - merge
Config choices: Version 3

Block 12 - Merge1

Type / Role: n8n-nodes-base.merge - merge
Config choices: Version 3

Block 13 - Code

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

Block 14 - Gmail

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

Block 15 - Sticky Note

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

Block 16 - Sticky Note1

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

Block 17 - Sticky Note2

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

Block 18 - QP Formatter with HTML

Type / Role: n8n-nodes-base.html - html
Config choices: Version 1.2

Block 19 - Sticky Note3

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

Block 20 - Sticky Note4

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

Block 21 - Sticky Note5

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

3. Summary Table

Workflow	Generate exam question papers with GPT-4 and email delivery
Complexity	advanced
Nodes	21
Categories	Content Creation, AI Chatbot
Author	Gracewell
Published	03 Oct 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/9248/9248.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 Content Creation workflows AI Chatbot workflows

Frequently asked questions

What does Generate exam question papers with GPT-4 and email delivery 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 Content Creation, AI Chatbot use case.

Gracewell

2 workflows

Nodes

n8n-nodes-base.formtrigger @n8n/n8n-nodes-langchain.lmchatopenai @n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.outputparserstructured n8n-nodes-base.merge n8n-nodes-base.code n8n-nodes-base.gmail n8n-nodes-base.stickynote

Complexity

advanced

Published 03 Oct 2025

Likes 0

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Install path: /data/workflows/9248/9248.json

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Generate exam question papers with GPT-4 and email delivery

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Who Is This For?

What Problem Does This Solve?

How it works

Set up steps

Need help customizing?

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - On form submission

Block 2 - OpenAI Chat Model

Block 3 - OpenAI Chat Model1

Block 4 - OpenAI Chat Model2

Block 5 - Part A QP Agent

Block 6 - Part C QP Agent

Block 7 - Structured Output Parser2

Block 8 - Structured Output Parser1

Block 9 - Structured Output Parser

Block 10 - Part B QP Agent1

Block 11 - Merge

Block 12 - Merge1

Block 13 - Code

Block 14 - Gmail

Block 15 - Sticky Note

Block 16 - Sticky Note1

Block 17 - Sticky Note2

Block 18 - QP Formatter with HTML

Block 19 - Sticky Note3

Block 20 - Sticky Note4

Block 21 - Sticky Note5

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