Generate exam question papers with GPT-4 and email delivery
Needs changesNeeds changes. This template uses 1 thing(s) that n8n 3.0 removes: AI Agent v1 (old agent modes). 1 breaking item(s) found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 15 nodes and runs when someone submits an n8n form (“Syllabus Submission”). Along the way it connects OpenAI Chat Model and Gmail.
How it runs
Trigger: When someone submits an n8n form (“Syllabus Submission”).
- Part A QP Agent (AI Agent): runs an AI agent, with model: OpenAI Chat Model; output parser: Structured Output Parser
- Part C QP Agent (AI Agent): runs an AI agent, with model: OpenAI Chat Model; output parser: Structured Output Parser
- Part B QP Agent (AI Agent): runs an AI agent, with model: OpenAI Chat Model; output parser: Structured Output Parser
- Merge: merges the data from its input branches
- Merge: merges the data from its input branches
- Code: runs custom JavaScript code
- QP Formatter with HTML (HTML): parses or builds HTML
- Gmail: uses Gmail
Services it uses
Before you upgrade to n8n 3.0
1 thing in this workflow is removed in n8n 3.0. Fix it before you upgrade:
- AI Agent v1 (old agent modes) in Part A QP Agent (v1.8), Part C QP Agent (v1.8), Part B QP Agent1 (v1.8): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.
| Removed in 3.0 | Replace with |
|---|---|
| AI Agent v1 (old agent modes) Part A QP Agent (v1.8), Part C QP Agent (v1.8), Part B QP Agent1 (v1.8) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (8)
- n8n Form Trigger
n8n-nodes-base.formTrigger - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - AI Agent
@n8n/n8n-nodes-langchain.agent - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - Merge
n8n-nodes-base.merge - Code
n8n-nodes-base.code - Gmail
n8n-nodes-base.gmail - HTML
n8n-nodes-base.html
From the author
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,…