Automatic Skool Course Generation

Automatic Skool Course Generation This workflow automates the entire process of creating a comprehensive, well-structured online course from a single user prompt. It functions as a powerful, multi-agent AI system that ideates, outlines, researches, and writes an entire course, delivering the final product as a formatted Google Doc. Key Features & Technologies What It Automates This workflow automates the time-consuming and complex tasks of instructional design and content creation. It turns a simple idea into a ready-to-use course, automating: - Course Ideation: Clarifying a user's initial idea into a concrete course title and ID. - Curriculum Design: Generating a detailed, logically structured course outline with modules, learning objectives, and assessments. - Content Research: Using real-time web search to enrich the course with up-to-date statistics, case studies, and relevant tools. - Content Writing: Authoring detailed, textbook-quality chapters for every module in the curriculum. - Document Formatting: Assembling the entire course into a single, well-organized Google Doc with proper headings and page breaks. Technologies Used - n8n: The core automation platform coordinating the entire process. - AI & Language Models: - LangChain: Framework for building AI agent-based applications. - OpenRouter: A service to access various Large Language Models (LLMs), including Google's Gemini family (gemini-2.0-flash-001, gemini-2.0-pro-exp-02-05). - External Services & APIs: - Google Docs: Used for creating and populating the final course document. - SerpAPI: A real-time search API used by the AI agents to gather current data, trends, and resources from the web. - User Interface: - n8n Form Trigger: Provides a simple web form for users to submit their course ideas. How AI is Integrated This workflow is a prime example of a multi-agent AI system, where different specialized AI agents collaborate to achieve a complex goal. 1. Agent 1: The Course Finder & Clarifier: The first AI agent interprets the user's raw input. Its job is to understand the user's intent, define a clear and concise course title, and generate a unique ID.