J’ai laissé ChatGPT gérer mes e-mails pendant 72h — IMPRESSIONNANT

J’ai laissé ChatGPT gérer mes e-mails pendant 72h — IMPRESSIONNANT

by Shubham SHARMA

Applied Sciences & Engineering AI — Models & Research UYQArtificial intelligence (AI)UYQFGenerative artificial intelligence
🎙 Shubham SHARMA 👥 313K 📅 July 24, 2024 ⏱ 18 min 👁 385K 📄 tutorial 🧭 2026-08-24
Available in: English (current) Français

Keywords

email automationChatGPTMakeGPT-4oInbox Zero

Summary

In this video, Shubham SHARMA documents his experiment of using GPT-4o to fully automate his email management, aiming for ‘Inbox Zero’. He starts by explaining his motivation and the categories of emails he receives (thank-yous, partnership requests, coaching inquiries, etc.). He then shows his first automation attempt using Make, where he routed emails to different branches with pre-written templates. However, he discovered that the responses generated by GPT for the ‘other’ category were of higher quality, leading him to redesign the system. The final automation uses a single, comprehensive prompt that instructs GPT to categorize each email and generate a personalized draft response, incorporating his ’tone of voice’. He demonstrates the system working on sample emails, showing impressive results. He also discusses the scalability of the approach, mentioning a prompt generator he built to manage the growing complexity. The video concludes with reflections on how AI and automation are transforming work, and he promotes his related training and a waiting list for implementing this system for others.

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Critical Evaluation

Value of the Information & Strength of the Argument

The video’s value lies in its practical, step-by-step demonstration of building a real-world AI automation, from initial concept to final implementation. The creator clearly explains his reasoning and shows the iterative process, including the pivotal insight that letting GPT generate full responses (rather than just routing to templates) yields better quality. The argumentation is solid, supported by concrete examples of emails and the system’s output. However, the claims of time savings and effectiveness are anecdotal and not backed by rigorous data or independent testing.

Scientific Rigor, Source Quality, Title Accuracy

The video is a tutorial based on personal experience, not a scientific study. It does not cite external sources or research. The title accurately reflects the content, and the video is well-structured with clear chapters. The description includes links to the creator’s own products and a sponsor (Make), but no independent references. The content is presented as a practical guide, and the creator is transparent about his process, though the lack of external validation limits the scientific rigor.

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Title / Content Match

The title accurately reflects the content: the creator demonstrates leaving ChatGPT to manage his emails for 72 hours, showing impressive results.

Quality & Reliability

7/10

The video provides a detailed, step-by-step account of building an AI-powered email automation system, with concrete examples and iterative improvements. However, it is primarily a personal experience and tutorial, lacking independent verification or external sources, and includes promotional content.

Chapters

Cited Sources

Concurring Sources

  • OpenAI GPT-4o — The model used in the video, known for its advanced capabilities.
  • Make — The automation platform used, which supports AI integrations.

Contribution & Novelties

The video provides a practical, hands-on example of using GPT-4o for email automation, demonstrating a shift from rule-based automation to AI-driven decision-making and content generation. The key innovation is the use of a single, comprehensive prompt that handles categorization and response generation, and the idea of a prompt generator to manage complexity. This is a valuable case study for professionals interested in AI-powered productivity.

Pour aller plus loin :

  • GPT-4o — Official OpenAI page for GPT-4o, the model used in the video.
  • Make — The automation platform used to build the workflow.
  • Inbox Zero — Wikipedia article on the Inbox Zero concept.
  • Prompt engineering — Wikipedia article on prompt engineering, relevant to the video’s focus on crafting effective prompts.
  • Email automation — Wikipedia article on email marketing, which includes automation aspects.

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Radar Profile

The radar profile shows high scores in information quantity, quality, and technical level, indicating a content-rich and technically detailed tutorial. The lower score in global reliability reflects the lack of external sources and the anecdotal nature of the claims, but the overall profile suggests a valuable practical resource.

Reliability 6/10

💬 Très positif. Sur les 30 commentaires analysés, la grande majorité exprime de l'enthousiasme et de l'admiration pour la démonstration, avec des questions techniques et des demandes de précisions, reflétant un fort intérêt pour l'application pratique.