Mastering n8n: Sequential AI Agent Content Factory (Architect → Writer → Quiz Master)
Skills:
Tool Use & Function Calling90%Multimodal LLMs80%Agent Foundations80%Prompt Craft70%Prompt Systems Engineering70%
Transform raw documents into full educational tutorials automatically! In this video, I show you how to build a Sequential AI Agent workflow in n8n using LangChain and OpenAI.
What you’ll learn:
We go deep into how to chain specialized agents together to perform complex tasks. Instead of one generic prompt, we use three distinct "personas" to ensure high-quality, structured output:
Agent A (The Code Architect): Strips away the "noise" and extracts core technical concepts.
Agent B (The Technical Writer): Converts architecture into a beginner-friendly, markdown-formatted tutorial.
Agent C (The Quiz Master): Generates MCQs and advanced challenge questions to verify learning.
Workflow Highlights:
Connecting Google Drive for automatic file ingestion.
Using the Extract from File node to process PDFs.
Configuring LangChain Agents with specific System Prompts.
Passing data sequentially using the $json.output expression.
Timestamps:
0:00 - Introduction to Sequential Agents
0:45 - Workflow Overview & Architecture
2:15 - Setting up the Google Drive & PDF Extraction
4:30 - Configuring Agent A: Noise Removal
6:15 - Configuring Agent B: Markdown Technical Writing
8:45 - Configuring Agent C: Quiz Generation
11:00 - Testing the Workflow & Final Results
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Chapters (7)
Introduction to Sequential Agents
0:45
Workflow Overview & Architecture
2:15
Setting up the Google Drive & PDF Extraction
4:30
Configuring Agent A: Noise Removal
6:15
Configuring Agent B: Markdown Technical Writing
8:45
Configuring Agent C: Quiz Generation
11:00
Testing the Workflow & Final Results
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Tutor Explanation
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