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This is a step-by-step tutorial on how to build an AI research agent using Perplexity AI and Make.com. The automation works by feeding Perplexity AI a prompt and URL, which it analyzes to provide a summary, comment insights, and additional research data. This output is then sent to a Google Doc and passed through a router to three different GPT specialist agents that transform the content into posts for LinkedIn, Twitter, and Facebook.

To set this up, I used Make.com, a no-code automation tool, and integrated Perplexity AI (which is 100% free). I also connected an OpenAI API key to utilize GPT-4 for the specialist agents. For the LinkedIn bot, I used Claude AI to generate custom instructions on how to structure the post, considering factors like optimal length, clarity, and engagement.

The process is highly customizable and scalable, with countless potential applications. While there are some costs involved, such as Make.com's monthly fees, ChatGPT Plus, and Perplexity AI credits, I found them to be reasonable for the level of automation achieved. I believe this AI research agent has significant potential and I'm excited to see how others might adapt it for their own purposes.

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