Automatically Research Anyone with ChatGPT and Perplexity
Keywords
Summary
136 words
Critical Evaluation
Value of the Information & Strength of the Argument
The video provides a practical, actionable tutorial with a clear demonstration of the automation in action. The argumentation is straightforward, focusing on the benefits of time savings and the accessibility of the setup for non-technical users. The creator effectively shows the value proposition by comparing the automation’s cost and speed to manual research. The tutorial is well-structured, with each step explained clearly, and the use of a pre-built blueprint lowers the barrier to entry. However, the argumentation is largely promotional, and the video does not critically evaluate the limitations or potential biases of the AI-generated research.
Scientific Rigor, Source Quality, Title Accuracy
The video provides links to the necessary resources: the Make blueprint, the Notion template, and API key setup pages. These are directly relevant and allow viewers to replicate the setup. The tutorial is technically sound, with clear instructions for connecting the services. The title accurately reflects the content. The video is sponsored by Make, which introduces a potential bias, but the tutorial itself is transparent about the sponsorship. The creator does not cite external scientific sources, but the nature of the content is a practical tutorial rather than a scientific study.
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Title / Content Match
The title accurately reflects the content: the video demonstrates how to automatically research individuals using ChatGPT and Perplexity within a Make automation.
Quality & Reliability
7/10
The video provides a clear, step-by-step tutorial for setting up an automation using Make, Notion, OpenAI, and Perplexity. The instructions are practical and reproducible, with links to templates and API setup pages. However, the content is primarily a promotional tutorial sponsored by Make, and the scientific rigor is limited as it does not provide independent validation or comparative analysis.
Chapters
Cited Sources
- Notion Template Database — Template for the Notion database used in the automation.
- Make Blueprint Download — Download link for the Make blueprint JSON file.
- OpenAI API Keys — Page to create OpenAI API keys.
- Perplexity API Settings — Page to generate Perplexity API keys.
- Notion Integrations — Page to create Notion integrations.
Concurring Sources
- Make (software) — General information about the Make platform, which is the core of the automation.
- OpenAI API — Background on the OpenAI API used for generating text.
- Perplexity AI — Information about Perplexity, the AI search engine used for web research.
External References
Contribution & Novelties
The video offers a practical, ready-to-use automation blueprint that combines multiple AI services (ChatGPT and Perplexity) with a no-code platform (Make) to automate person research. This is a novel application that democratizes access to AI-powered research, previously available only to those with technical skills or expensive services. The tutorial is particularly valuable for professionals in networking, recruitment, and sales.
Pour aller plus loin :
- Make (software) — Overview of the automation platform used.
- OpenAI API — Background on the API used for GPT-4o.
- Perplexity AI — Information on the AI search engine used.
93 words
Radar Profile
The radar profile shows a balanced performance across all dimensions, with slightly higher scores in information quantity and quality, reflecting the practical and actionable nature of the tutorial. The technical level is moderate, suitable for non-technical users, and the overall reliability is good, though the promotional aspect slightly reduces the score.