Comment “YouTube” and I’ll send you the link to the full tutorial
By Mr. Paid Social
Key Concepts
- Make.com: A no-code automation platform.
- ChatGPT: A large language model used for transcription and summarization.
- Google Drive: Cloud storage used as a trigger for the automation.
- Google Docs: Used for storing transcriptions and summaries.
- Custom GPT: A tailored version of ChatGPT trained on course summaries to act as a help guide.
- Automation: The process of automatically executing a series of tasks.
- Transcription: Converting audio/video content into text.
- Template: A pre-defined structure for generating summaries.
- Append: Adding new data to an existing document.
Automation Workflow for Course Content Summarization
The video details an automation built using Make.com and ChatGPT designed to streamline the process of creating course module descriptions. The core functionality revolves around automatically transcribing course videos and generating summaries based on a user-defined template.
1. Trigger: Google Drive File Upload
The automation is initiated when a new file (specifically, a course video) is uploaded to a designated folder within the user’s Google Drive. This serves as the starting point for the entire process.
2. File Retrieval & Transcription (ChatGPT Module 1)
Once a new file is detected, Make.com retrieves the file and sends it to a ChatGPT module. This module’s primary function is to transcribe the video content into text. The resulting transcription is then saved as a new Google Doc, created within a specified folder.
3. Summary Generation (ChatGPT Module 2)
The newly created Google Doc containing the transcription is then fed into a second ChatGPT module. This module utilizes a pre-defined template to generate a concise summary of the transcribed content. The template allows the user to control the style, length, and focus of the summary. The generated summary is also saved as a separate Google Doc.
4. Aggregation of Summaries (Master Google Doc)
The summary generated in the previous step is then appended to a “master” Google Doc. This master document serves as a central repository for all module summaries within the course. The video mentions this document currently contains 141 pages, indicating a substantial course with numerous modules.
5. Custom GPT Creation & Application
The completed 141-page master Google Doc, containing all course summaries, is then uploaded into a Custom GPT. This Custom GPT is specifically trained on the course content, enabling it to function as a comprehensive help guide for students. This allows users to ask questions about the course and receive answers based on the summarized material.
Real-World Application & Benefits
The presented automation demonstrates a practical application of combining Make.com and ChatGPT to significantly reduce the time and effort required for course content management. Specifically, it addresses the tedious task of manually transcribing videos and writing module descriptions. The automation allows the creator to focus on content creation rather than administrative tasks.
Technical Considerations
- Make.com: The platform facilitates the connection between Google Drive, ChatGPT, and Google Docs, enabling the seamless flow of data and execution of tasks.
- ChatGPT API: The video implicitly relies on the ChatGPT API for both transcription and summarization. The quality of the transcription and summary is dependent on the capabilities of the ChatGPT model and the clarity of the original audio.
- Template Design: The effectiveness of the summary generation relies heavily on the design of the template used within the second ChatGPT module. A well-crafted template will produce more relevant and useful summaries.
Conclusion
The video showcases a powerful automation workflow leveraging the capabilities of Make.com and ChatGPT. By automating the transcription and summarization of course content, the creator streamlines their workflow and creates a valuable resource – a custom GPT help guide – for their students. The creator encourages viewers to follow for more content demonstrating similar automation techniques.
Chat with this Video
AI-PoweredLoad the transcript when you're ready to chat so the initial page stays lighter.
Related Videos

Top Open-Source GitHub Projects : Ruflo, ShareX, OpenClaude, OpenHarness & CubeSandbox #254
ManuAGI - AutoGPT Tutorials

Stop automating tasks yourself
Dan Martell

Jueves de Quack con Gis Torres
GitHub

5 tips on keeping your code clean with Gemini
Google for Developers

The best AI stack for $50.
Dan Martell

AI Tools in 2025 vs 2026
Dan Martell

The best AI tools...
Dan Martell