Automatiser toutes vos tâches dans Perplexity (Ma technique secrète)

Value of the Information & Strength of the Argument

The video offers practical value by providing a concrete, step-by-step guide to building an AI automation workflow. The argumentation is straightforward and based on the creator’s personal experience, which adds credibility but also introduces bias. The steps are logically sequenced, and the presenter anticipates common issues, such as API key management and testing. However, the argumentation is largely anecdotal and lacks comparative analysis with alternative tools or methods. The promotional elements, such as the community and paid services, are interwoven with the tutorial, which may undermine the perceived objectivity. The value lies in the actionable instructions and the potential time savings for content creators and researchers.

Scientific Rigor, Source Quality, Title Accuracy

The video does not cite external sources beyond the tools themselves (Perplexity, Make, OpenAI). The information is based on the creator’s own experience and is presented as a tutorial. The title accurately reflects the content, and the video delivers on its promise. However, the scientific rigor is low, as there is no evidence of peer review or independent validation. The sources cited are the official websites of the tools, which are appropriate for a tutorial. The adequacy between title and content is good, but the video is more of a promotional tutorial than a scientific analysis.

The title accurately reflects the content: the video demonstrates how to automate tasks using Perplexity, focusing on creating an AI research assistant. The 'secret technique' is the integration with Make and OpenAI, which is well-covered.

6/10

The video provides a practical, step-by-step tutorial on building an AI research assistant using Perplexity, Make, and OpenAI. The instructions are clear and actionable, but the content is largely promotional, with a focus on the creator's own services and community. No scientific claims are made, and the technical depth is moderate, suitable for beginners. The reliability is adequate for a tutorial, but the lack of independent verification and the promotional tone lower the score.

Markers derived by PSI from the transcript: the creator did not define chapters.

• 00:30Introduction to the video and the concept of an AI research assistant.
• 02:00Overview of the tools: Make.com, Perplexity, and OpenAI Playground.
• 05:00Step 1: Creating accounts on Make, Perplexity, and OpenAI.
• 08:00Step 2: Setting up the Perplexity module in Make and generating an API key.
• 10:00Step 3: Crafting and testing the prompt for the research assistant.
• 12:00Step 4: Configuring the email module to send weekly reports.
• 15:00Step 5: Extending the workflow to publish on social media using OpenAI and LinkedIn.
• 18:00Testing the full workflow and receiving a sample email.
• 20:00Conclusion and promotion of the creator's community and resources.

• Perplexity AI — The main tool for AI-powered research, used as the core of the assistant.
• Make — Automation platform used to connect Perplexity, email, and social media.
• OpenAI API Playground — Used to create custom assistants and integrate them into the workflow.

• Perplexity AI — Official website of the tool, confirming its features and capabilities.
• Make.com — Official website of the automation platform, supporting the described functionality.