Je crée une équipe de 7 GPTs — ChatGPT fait mon boulot... !

Je crée une équipe de 7 GPTs — ChatGPT fait mon boulot... !

by Ludo Salenne

Applied Sciences & Engineering AI — News & Applications UYComputer scienceUYQArtificial intelligence (AI)
🎙 Ludo Salenne 👥 267K 📅 January 30, 2024 ⏱ 18 min 👁 24K 📄 tutorial 🧭 2026-08-21
Available in: English (current) Français

Keywords

GPTsChatGPTAI agentsautomationmarketing

Summary

The video presents a method for creating a team of specialized GPTs within ChatGPT to accomplish complex tasks, using the example of generating leads for a training course. The creator first uses ChatGPT as a ‘serial entrepreneur’ to list seven key roles needed for the goal, then uses a custom ‘GPT creator’ to generate the instructions for each role. He demonstrates combining these GPTs in a single conversation using the @mention feature, showing how each specialized agent can handle subtasks like SEO, content creation, and social media posts. The video highlights the potential of this approach for automating workflows and improving results by breaking down complex tasks into specialized subtasks. The creator also discusses the future possibility of a ‘manager GPT’ that could autonomously coordinate the other GPTs, referencing tools like AutoGPT and AgentGPT. Throughout, he promotes his paid training course, offering a discount for a limited time. The tutorial is practical and accessible, but lacks in-depth technical details or official documentation references.

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Critical Evaluation

Value of the Information & Strength of the Argument

The video offers practical value by demonstrating a concrete method to combine custom GPTs, which is a relatively new feature at the time. The argumentation is based on a live demonstration, showing real interactions and results, which adds credibility. However, the value is somewhat limited by the lack of systematic testing or comparison with alternative approaches. The creator argues that dividing complex tasks into subtasks with specialized GPTs improves results, but this claim is not rigorously supported by data or controlled experiments. The demonstration is compelling but anecdotal.

Scientific Rigor, Source Quality, Title Accuracy

The video does not cite any external scientific sources or official documentation. The only links provided are to the creator’s own training course and other videos on his channel, which are promotional and not authoritative references. The title accurately reflects the content, as the creator indeed creates a team of 7 GPTs and shows how they can perform tasks. The lack of citations and reliance on personal experience reduce the scientific rigor. The video is more of a tutorial based on practical experience than a scientifically rigorous analysis.

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Title / Content Match

The title accurately reflects the content: the creator demonstrates creating and combining 7 custom GPTs to perform marketing tasks, effectively showing how ChatGPT can automate parts of his work.

Quality & Reliability

6/10

The video provides a practical tutorial on combining custom GPTs, but the scientific rigor is limited: no citations to official documentation, reliance on personal experience, and promotional content for a paid training. The method is reproducible but lacks systematic testing or comparative analysis.

Chapters

Cited Sources

Concurring Sources

  • OpenAI GPTs documentation — Official documentation on creating and using GPTs, which supports the method demonstrated.
  • AutoGPT — An open-source project for autonomous AI agents, aligning with the creator's vision of a manager GPT.

Dissenting Sources

  • No direct discordant sources found — The video does not cite any sources that contradict its claims, but the lack of citations means there is no external validation.

Contribution & Novelties

The video provides a practical, step-by-step method for creating and combining custom GPTs to automate complex workflows, which is a relatively new capability at the time. It demonstrates a concrete use case in digital marketing, showing how to break down a task into specialized subtasks and assign each to a dedicated GPT. The approach is innovative in its use of the @mention feature to orchestrate multiple GPTs in a single conversation, and it suggests a future direction towards autonomous agent coordination. However, the novelty is limited by the lack of technical depth and the promotional nature of the content.

Pour aller plus loin :

  • OpenAI GPTs documentation — Official documentation on creating and using GPTs.
  • AutoGPT — An open-source project for autonomous AI agents, relevant to the creator’s vision of a manager GPT.
  • AgentGPT — A platform for autonomous AI agents, mentioned in the video.
  • Custom Instructions in ChatGPT — Official blog post about custom instructions, which the creator uses as a hack.

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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 provides a good amount of practical information but lacks rigorous sourcing and scientific backing.

Reliability 5/10

💬 Très positif. Sur les 30 commentaires analysés, la majorité exprime un enthousiasme marqué pour la méthode présentée, avec des remerciements et des éloges pour la clarté et l'utilité de la vidéo, bien que certains mentionnent des problèmes techniques rencontrés lors de l'utilisation des GPTs.