Block 1 - 📋 Flow Overview
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
Turn WhatsApp into an interactive personal classroom. This workflow automates the entire learning cycle—from generating AI powered quizzes to tracking student progress in real time—by combining WAT...
n8n-nodes-base.stickynote, n8n-nodes-base.switch, n8n-nodes-base.code, n8n-nodes-base.googlesheets, n8n-nodes-wati.watitrigger, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-wati.wati
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Jitesh Dugar.
Original n8n.io sourceTurn WhatsApp into an interactive personal classroom. This workflow automates the entire learning cycle—from generating AI-powered quizzes to tracking student progress in real-time—by combining WATI, OpenAI AI Agents, and Google Sheets.
Provides a complete end-to-end educational experience through simple WhatsApp commands:
📝 Interactive Quiz Trigger
Student sends a topic (e.g., quiz photosynthesis) via WATI Trigger to start a session.
🚦 Intelligent Command Routing A Route Message switch node detects specific student intents:
quiz: Triggers the AI generation of new questions.
answer: Routes to the evaluation engine to grade student replies.
progress: Triggers the historical performance report branch.
👁️ AI-Powered Content Creation An AI Agent using GPT-4o generates 3 tailored MCQ questions based on the requested topic, formatted as structured JSON.
📊 Automated Grading & Logging
Evaluation: Compares student replies (e.g., answer 1a 2b 3c) against stored correct answers fetched from Google Sheets.
Logging: Saves the final score, topic, and date to the master database.
📈 Progress Visualization Fetches all historical scores to calculate average performance, identifies the "Best Topic," and generates a visual progress bar.
███░░) to track their improvement.1a 2b) makes it accessible for mobile-first learning.sessionKey, phone, topic, correctAnswers, questionCount, today.date, phone, senderName, topic, score, total, percentage.quiz solar system to your WhatsApp bot to begin!A high school student uses the bot to drill on "Biology" and "History" topics daily, tracking their score increase over time via the progress command.
A new hire receives a "Company Policy" quiz via WhatsApp; their score is automatically logged for HR compliance.
An NGO uses the bot to teach health and safety protocols in rural areas where WhatsApp is the primary digital tool.
String() casting to ensure phone numbers match correctly even if formatted differently in Sheets.Ready to launch your AI classroom? Import this template and connect your OpenAI key to start generating quizzes today!
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.
| Workflow | Run WhatsApp quizzes and track student progress with Wati, GPT-4.1 and Sheets |
|---|---|
| Complexity | advanced |
| Nodes | 21 |
| Categories | Personal Productivity, AI Chatbot |
| Author | Jitesh Dugar |
| Published | 24 Feb 2026 |
Use the JSON export at /data/workflows/13655/13655.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
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.
Turn WhatsApp into an interactive personal classroom. This workflow automates the entire learning cycle—from generating AI powered quizzes to tracking student progress in real time—by combining WAT...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
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.