J'ai automatisé ChatGPT et GPT-4o — c'est juste FOU !

J'ai automatisé ChatGPT et GPT-4o — c'est juste FOU !

🎙 Ludo Salenne 👥 267K 📅 June 7, 2024 ⏱ 17 min 👁 62K 📄 tutorial 🧭 2026-08-21
Available in: English (current) Français

Keywords

ChatGPTGPT-4oautomationGPTsAssistants API

Summary

In this tutorial, Ludo Salenne demonstrates how to automate ChatGPT and GPT-4o to handle daily tasks, such as email responses, content creation, and news monitoring. The video begins by explaining how to identify tasks suitable for delegation using a custom prompt or a dedicated GPT named ‘MAM Mia’. Then, it guides viewers through creating custom GPTs on ChatGPT, which serve as the first level of automation. The next step introduces OpenAI’s Playground and the Assistants API, which allow for more advanced automation without manual interaction. The creator showcases real-world examples, including an email auto-responder and a fully automated content pipeline that monitors AI news, generates summaries via Perplexity, drafts video scripts using a custom assistant, and saves them to Google Drive. The video emphasizes the potential time savings and productivity gains, while also heavily promoting a paid training course that covers these techniques in detail. The tutorial is practical and accessible, but it lacks in-depth discussion of costs, API limitations, and alternative tools.

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Critical Evaluation

Value of the Information & Strength of the Argument

The video provides valuable, actionable information for users interested in automating ChatGPT and GPT-4o. It presents a clear, step-by-step methodology, from task identification to implementation using GPTs and the Assistants API. The demonstrations are concrete and relatable, showing real-world applications like email auto-responders and content pipelines. The argumentation is persuasive, emphasizing the time-saving potential and the ease of replication. However, the value is somewhat diminished by the heavy promotional focus on the creator’s paid training course, which interrupts the tutorial flow and may bias the presentation. The technical depth is moderate; while the steps are clear, the video does not delve into important considerations such as API costs, token usage, or potential pitfalls, which are crucial for users to make informed decisions.

Scientific Rigor, Source Quality, Title Accuracy

The video is a tutorial based on the creator’s personal experience and workflows. It references OpenAI’s official tools (GPTs, Playground, Assistants API) and third-party automation platforms like Make and Perplexity. The sources cited in the description are primarily links to the creator’s own resources and other videos on his channel, which are not independent or authoritative. The title accurately reflects the content, as the video indeed demonstrates automating ChatGPT and GPT-4o. However, the scientific rigor is limited; there is no citation of official documentation or independent research. The content is presented as a practical guide rather than a rigorous scientific analysis. The promotional nature of the video also raises questions about objectivity, as the creator has a financial interest in promoting his course.

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Title / Content Match

The title accurately reflects the content: the video demonstrates how to automate ChatGPT and GPT-4o for various tasks, showcasing impressive workflows.

Quality & Reliability

6/10

The video provides a practical, step-by-step tutorial on automating ChatGPT and GPT-4o using OpenAI's GPTs and Assistants API, integrated with automation tools like Make. The creator demonstrates real workflows and offers alternative approaches. However, the content is heavily promotional, with a significant portion dedicated to selling a paid training course, and it lacks detailed technical depth on costs, API usage, and potential limitations. The information is presented clearly but is not peer-reviewed or independently verified.

Chapters

Cited Sources

Concurring Sources

  • OpenAI Assistants API documentation — Official documentation that aligns with the video's use of the Assistants API for automation.
  • Make (Integromat) official site — The automation platform used in the video, confirming its role in connecting AI tools.
  • Perplexity AI official site — The AI search tool used in the video for news monitoring, consistent with its capabilities.

Dissenting Sources

  • OpenAI API pricing page — The video does not discuss the costs associated with using the Assistants API, which is a significant consideration for users. The pricing page provides detailed costs that may affect the feasibility of the proposed automations.

Contribution & Novelties

The video offers a practical, accessible introduction to automating ChatGPT and GPT-4o using OpenAI’s GPTs and Assistants API, combined with automation platforms like Make. It provides a clear workflow from task identification to implementation, with concrete examples that viewers can replicate. The main novelty is the demonstration of a fully automated content pipeline that integrates multiple AI tools (ChatGPT, Perplexity) and services (Google Drive, email), showcasing a sophisticated use case.

Pour aller plus loin :

  • OpenAI Assistants API documentation — Official documentation for the Assistants API, which is central to the automation techniques shown.
  • Make (formerly Integromat) official site — The automation platform used in the video to connect AI tools and services.
  • Perplexity AI — The AI-powered search engine used in the video for news monitoring and summarization.
  • GPTs (OpenAI) — Official introduction to custom GPTs, which are the first level of automation discussed.
  • n8n — An open-source automation tool mentioned in the comments as an alternative to Make, relevant for cost-conscious users.

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Radar Profile

The radar profile shows moderate scores across all dimensions, with slightly higher scores in information quantity and technical level, but lower in reliability. This indicates a tutorial that is informative and practical but lacks depth in critical areas like cost analysis and independent verification.

Reliability 5/10

💬 Très positif. Sur les 30 commentaires analysés, la grande majorité exprime une forte appréciation de la vidéo et de la formation, avec des remerciements et des éloges pour la pédagogie et l'utilité du contenu.