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Create AI-powered WhatsApp quiz bot with GPT-4o-mini and Supabase storage

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Open on n8n.io

Important notice

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

1. Workflow Overview

Quiz Assistant via WhatsApp with Supabase and OpenAI Create a quiz assistant that helps users study a topic of their choice through WhatsApp . Using Supabase and OpenAI , this workflow captures mis...

Best for

  • Personal Productivity automation workflows
  • AI Chatbot automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

@n8n/n8n-nodes-langchain.memorybufferwindow, @n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.merge, n8n-nodes-base.webhook, n8n-nodes-base.if, @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.supabase, n8n-nodes-base.httprequest

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title
Create AI-powered WhatsApp quiz bot with GPT-4o-mini and Supabase storage
Workflow name
Create AI-powered WhatsApp quiz bot with GPT-4o-mini and Supabase storage

Quiz Assistant via WhatsApp with Supabase and OpenAI

Create a quiz assistant that helps users study a topic of their choice through WhatsApp. Using Supabase and OpenAI, this workflow captures missing user data, stores it, and delivers dynamic quizzes tailored to each topic.


Main Use Cases

  • Guide users through personalized study sessions
  • Collect and store user preferences (name + topic)
  • Automate quiz creation with AI
  • Deliver interactive content via WhatsApp

How It Works

This workflow is composed of three main paths:


1. User Info Collection

  • Triggered by an incoming WhatsApp message
  • Retrieves existing user data from Supabase
  • Checks if the name and topic are already defined
  • If not, sends WhatsApp prompts to collect missing info
  • Updates Supabase with new entries

2. AI Quiz Generation

  • Once name and topic are confirmed, the Merge node consolidates all inputs
  • Data is sent to the AI Agent (OpenAI Chat + Memory)
  • The agent generates a quiz based on the selected topic

3. Response Delivery

  • The quiz is sent back to the user via WhatsApp
  • Flow ends, ready to restart with the next interaction

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 - Simple Memory

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

Block 2 - OpenAI Chat Model

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

Block 3 - Merge

Type / Role
n8n-nodes-base.merge - merge
Config choices
Version 3.1

Block 4 - Whatsapp Trigger

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

Block 5 - User exist?

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

Block 6 - AI Agent - Portuguese BR System Msg

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 1.9

Block 7 - Supabase: Fetch User Data

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

Block 8 - Ask For Name

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 9 - Supabase: Update User Name

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

Block 10 - Quiz Topic Defined?

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

Block 11 - Ask For Study Topic (WhatsApp Message)

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 12 - Supabase: Update Study Topic

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

Block 13 - Send Message to User (WhatsApp Message)

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 14 - Sticky Note

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

Block 15 - Sticky Note1

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

3. Summary Table

Workflow Create AI-powered WhatsApp quiz bot with GPT-4o-mini and Supabase storage
Complexity advanced
Nodes 15
Categories Personal Productivity, AI Chatbot
Author Danielle Gomes
Published 16 May 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/4114/4114.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 Create AI-powered WhatsApp quiz bot with GPT-4o-mini and Supabase storage do?

Quiz Assistant via WhatsApp with Supabase and OpenAI Create a quiz assistant that helps users study a topic of their choice through WhatsApp . Using Supabase and OpenAI , this workflow captures mis...

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 Personal Productivity, AI Chatbot use case.