
Comment utiliser ChatGPT mieux que 99% de la population
Keywords
Summary
134 words
Critical Evaluation
Value of the Information & Strength of the Argument
The video provides substantial practical value by demonstrating a concrete, replicable workflow for automating content creation using ChatGPT, Make.com, and Perplexity. The argumentation is solid: the creator explains the limitations of basic ChatGPT usage and presents automation as the key to unlocking its full potential. He supports his claims with live demonstrations, showing the system working in real-time. The step-by-step instructions are clear and detailed, making the tutorial accessible even to those with limited technical background. However, the argumentation is somewhat one-sided, as it does not discuss potential drawbacks, costs, or alternative approaches. The video also serves as a promotional tool for the creator’s community and services, which may bias the presentation.
Scientific Rigor, Source Quality, Title Accuracy
The video does not cite any external scientific sources or research. The primary sources are the tools themselves (ChatGPT, Make.com, Perplexity) and the creator’s own experience. The tutorial is based on practical demonstration rather than academic rigor. The title is somewhat clickbait but accurately reflects the content’s ambition to teach advanced usage. The video’s credibility is moderate: it is a tutorial from an experienced practitioner, but it lacks critical evaluation and independent verification. The creator’s promotional motives are evident, which may affect the objectivity of the information presented.
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Title / Content Match
The title is somewhat sensationalist but accurately reflects the content: the video teaches advanced ChatGPT usage through automation, which is indeed beyond the typical 99% of users.
Quality & Reliability
7/10
The video provides a practical, step-by-step tutorial on creating custom GPTs and integrating them with Make.com to automate tasks. The instructions are clear and reproducible, and the creator demonstrates the process live. However, the video is primarily promotional, directing viewers to a paid community and affiliate links, and lacks rigorous scientific sourcing or critical evaluation of the tools' limitations.
Key Moments
Markers derived by PSI from the transcript: the creator did not define chapters.
- Introduction: The video promises to show how to use ChatGPT better than 99% of people by automating tasks.
- Overview of custom GPTs and the creator's setup for managing agenda, emails, and content.
- Introduction to Make.com and its role in connecting ChatGPT to thousands of applications.
- Step-by-step creation of a custom GPT for content creation, including setting up the prompt.
- Connecting the GPT to Make.com via a webhook and configuring HTTP GET and POST requests.
- Integrating Perplexity AI to fetch news and testing the automation.
- Adding a command to the GPT to trigger the automation and receiving the formatted content.
- Teaser for the next step: posting directly to LinkedIn from ChatGPT.
Cited Sources
- Make.com — Platform used for automation and connecting applications.
- Perplexity AI — AI tool used to fetch web information for content creation.
- ChatGPT — The main AI platform being customized and automated.
Concurring Sources
- OpenAI GPTs — Official announcement of custom GPTs, supporting the video's premise.
- Make.com integration examples — Examples of connecting various apps, aligning with the video's use case.
Dissenting Sources
- Potential limitations of GPTs — The video does not discuss potential limitations such as token limits, cost, or reliability issues with automation.
Contribution & Novelties
The video offers a practical, hands-on approach to automating ChatGPT workflows, which is a valuable addition to the many theoretical discussions about AI. It provides a concrete example of using custom GPTs and Make.com to create a content generation pipeline, which is not commonly covered in such detail. The tutorial is actionable and can be replicated by viewers, potentially saving them significant time.
Pour aller plus loin :
- OpenAI GPTs documentation — Official documentation on creating custom GPTs.
- Make.com help center — Resources for learning automation with Make.com.
- Perplexity AI API — API documentation for integrating Perplexity’s search capabilities.
99 words
Radar Profile
The radar profile shows high scores in information quantity and technical level, reflecting the detailed tutorial. The quality and reliability scores are moderate, indicating practical value but limited scientific rigor. The overall profile suggests a useful, hands-on resource for AI enthusiasts.
💬 Très positif. Sur les 30 commentaires analysés, la grande majorité exprime une gratitude et une admiration pour la clarté et l'utilité du contenu, avec plusieurs demandes d'accès à la communauté et des suggestions d'applications futures.