Guía Completa de ChatGPT Agents

Guía Completa de ChatGPT Agents

🎙 Inteligencia Artificial (Jon Hernández) 👥 725K 📅 April 29, 2026 ⏱ 38 min 👁 148K 📄 tutorial 🧭 2026-08-03
Available in: English (current) Français

Keywords

ChatGPT agentsworkspaceGPTsskillsMCPautomationproductivityOpenAItutorialbusiness

Summary

The video is a comprehensive tutorial on ChatGPT workspace agents, presented by Jon Hernández. It explains that these agents are a major evolution from traditional GPTs, allowing for autonomous execution of complete workflows, integration with external tools and applications, and asynchronous operation. The video is structured into three main parts: understanding what workspace agents are and how they replace GPTs, creating an agent from scratch, and exploring practical use cases. The creator demonstrates the creation of a simple agent that reviews documents against company standards, showing the step-by-step process using the agent builder. He highlights five key elements of agents: objective, trigger, instructions and skills, connectors, and controls. He also shows more advanced examples, such as an agent connected to Gmail for drafting emails and an agent that monitors X/Twitter for AI news. The video emphasizes that agents can be programmed to work autonomously, integrate with Slack, and use MCPs and skills. The creator notes that GPTs will eventually be replaced by agents, and provides tips on how to create effective agents. The video includes a sponsored segment for a VPN service, which is clearly marked. Overall, the video is informative and practical, suitable for users wanting to leverage ChatGPT agents for productivity.

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Critical Evaluation

The video provides a valuable and timely overview of ChatGPT workspace agents, a feature that represents a significant advancement in AI-driven productivity. The creator, Jon Hernández, demonstrates a clear understanding of the subject, offering a structured and practical guide that is accessible to a broad audience. The content is well-organized, starting with an introduction to the concept, followed by a detailed walkthrough of creating an agent, and concluding with real-world examples. The explanations are clear, and the step-by-step demonstrations help viewers grasp the functionality and potential of these agents.

One of the strengths of the video is its emphasis on the practical aspects of agent creation. The creator shows how to use the agent builder, configure instructions, add skills, and connect external applications. He also highlights the importance of controls and permissions, which is crucial for ensuring safe and responsible use. The examples provided, such as a document reviewer and an email assistant, are relevant and illustrate the versatility of agents.

However, the video has some limitations. It lacks citations to official OpenAI documentation or independent sources, which would enhance its credibility. The information is based on the creator’s personal experience and observations, which, while valuable, may not be entirely comprehensive or up-to-date. Additionally, the video includes a sponsored segment for a VPN service, which, although clearly marked, may introduce a commercial bias. The creator’s enthusiasm for the product is evident, but he does not critically examine potential drawbacks or limitations of the agents, such as cost, reliability, or security concerns.

The adéquation between the title and content is excellent; the video indeed provides a complete guide to ChatGPT agents. The production quality is high, with clear visuals and audio, and the pacing is appropriate. The creator’s communication style is engaging and easy to follow.

In terms of scientific rigor, the video is more of a tutorial than a scientific analysis. It does not present original research or data, but rather demonstrates how to use a specific technology. Nevertheless, it is informative and accurate based on current knowledge. The lack of citations is a minor drawback, but the practical nature of the content compensates for this.

Overall, the video is a valuable resource for individuals and businesses looking to leverage ChatGPT agents for automation and productivity. It is well-executed, informative, and practical, earning a high rating. The minor issues with sourcing and potential bias are outweighed by the clarity and usefulness of the content.

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Title / Content Match

The title accurately reflects the content: a comprehensive guide to ChatGPT agents, covering creation, configuration, and use cases.

Quality & Reliability

7/10

The video provides a practical, step-by-step tutorial on creating and using ChatGPT workspace agents, based on the creator's direct experience. It explains concepts clearly and demonstrates real use cases. However, it lacks citations to official documentation or independent sources, and the promotional segment for a VPN sponsor is integrated. The information is current and aligns with known OpenAI developments, but the lack of verifiable references and potential bias from sponsorship slightly reduce the reliability score.

Chapters

Cited Sources

Concurring Sources

  • OpenAI Agents documentation — Official documentation on agents, likely to align with the video's content.
  • Model Context Protocol (MCP) — Protocol for connecting AI to external tools, referenced in the video.

Dissenting Sources

  • No discordant sources found — The video does not present controversial claims; it is a tutorial. No conflicting sources were identified.

Contribution & Novelties

The video provides a practical, hands-on tutorial on ChatGPT workspace agents, which is a relatively new feature. It offers step-by-step guidance on creating and configuring agents, including the use of skills, connectors, and MCPs. The examples given (document reviewer, email assistant, social media monitor) illustrate real-world applications. The video also highlights the shift from GPTs to agents, which is an important trend.

Pour aller plus loin :

  • OpenAI Agents documentation — Official documentation on agents, relevant for understanding the technical details.
  • Model Context Protocol (MCP) — The protocol for connecting AI models to external tools, mentioned in the video.
  • ChatGPT Plugins — Earlier iteration of tool integration, useful for context.
  • Slack API — Integration with Slack, as mentioned in the video.

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Radar Profile

The radar profile shows high scores in quantity of information and technical level, indicating a content-rich tutorial. The quality of information and reliability are slightly lower, reflecting the lack of citations and potential bias from sponsorship. Overall, the video is strong in practical utility but could benefit from more authoritative references.

Reliability 6/10

💬 Très positif. Sur les 30 commentaires analysés, la majorité exprime une grande satisfaction et un enthousiasme pour le contenu, avec des remerciements et des éloges sur la qualité pédagogique. Certains commentaires soulèvent des points pratiques, comme la disponibilité des agents pour les comptes Plus, et d'autres montrent un intérêt pour des applications spécifiques.