Perplexity Computer: la IA multiagente que trabaja por ti (y puede hacerlo por meses)

Perplexity Computer: la IA multiagente que trabaja por ti (y puede hacerlo por meses)

🎙 EDteam 👥 1.0M 📅 March 3, 2026 ⏱ 19 min 👁 41K 📄 expert opinion 🧭 2026-08-02
Available in: English (current) Français

Keywords

Perplexity Computermulti-agentAI agentsautomationorchestration

Summary

The video presents Perplexity Computer, a multi-agent AI system by Perplexity that can autonomously execute complex tasks by breaking them down into subtasks and delegating them to specialized subagents. The presenter explains the system’s architecture, which uses different AI models for different tasks, such as Gemini for deep research, Claude for document generation, and GPT-5.2 for long-context retrieval. He demonstrates real examples, including creating a PowerPoint presentation from website content and generating a GIF of Nvidia’s stock price, highlighting the system’s ability to research, organize data, and produce deliverables. The video also discusses the cost, noting that the feature is currently only available on the $200/month Max plan, and mentions potential future availability on cheaper plans. The presenter emphasizes the potential of multi-agent systems to transform work by delegating time-consuming tasks, but also acknowledges current limitations and high costs. The video includes a sponsorship segment and promotional content for EDteam courses.

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Critical Evaluation

The video offers a compelling and practical overview of Perplexity Computer, a multi-agent AI system that promises to automate complex tasks. The presenter, from EDteam, demonstrates the tool’s capabilities through real-world examples, such as creating a PowerPoint presentation from website content and generating a GIF from stock price data. These demonstrations are valuable as they show the system’s ability to research, synthesize information, and produce polished outputs. The explanation of the underlying architecture, which uses different AI models for different subtasks (e.g., Gemini for research, Claude for document creation), is insightful and highlights a pragmatic approach to leveraging AI strengths. However, the video is largely promotional, with the presenter having paid for the $200/month Max plan to test the tool, and it lacks independent verification or critical analysis of Perplexity’s claims. The discussion of costs and limitations is honest, but the overall tone is enthusiastic, and potential drawbacks such as reliability, accuracy, and security are not deeply explored. The video also includes a sponsorship segment and promotional content for EDteam courses, which may bias the presentation. The technical depth is moderate, suitable for a general audience interested in AI applications, but it does not delve into the technical implementation details or compare with other multi-agent systems. The title accurately reflects the content, and the video provides a useful introduction to the concept of multi-agent AI for task automation. Overall, the video is informative and engaging, but viewers should seek additional sources for a more balanced and critical assessment.

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Title / Content Match

The title accurately reflects the content, focusing on the multi-agent AI system and its autonomous capabilities.

Quality & Reliability

7/10

The video provides a practical demonstration of Perplexity Computer, showing real examples and discussing costs and limitations. However, it is largely promotional and lacks independent verification or critical analysis of the tool's claims.

Chapters

Cited Sources

Concurring Sources

  • Perplexity AI official website — Official source for Perplexity Computer features and pricing.

Dissenting Sources

  • No discordant sources found — The video does not present conflicting information with external sources, but independent verification is lacking.

Contribution & Novelties

The video provides a practical demonstration of Perplexity Computer, a multi-agent AI system that orchestrates multiple specialized AI models to autonomously complete complex tasks. It highlights the system’s ability to break down a goal into subtasks, delegate them to subagents using different models (e.g., Gemini for research, Claude for document creation), and deliver polished outputs like presentations and GIFs. The presenter’s hands-on examples illustrate the potential of multi-agent systems to automate time-consuming workflows, while also discussing the current high cost and limitations.

Pour aller plus loin :

132 words

Radar Profile

The radar profile shows high scores in quantity and quality of information, with moderate technical depth and reliability. This indicates a well-structured and informative video, but with room for more rigorous scientific analysis.

Reliability 7/10