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Meet Your New AI Research Assistant

Hi everyone! I’m Robby. I spend my days building AI systems, and today I want to show you how to build something really cool: an AI agent that can do your research for you.

Imagine typing in a topic, and having a computer go out to the internet, find the best articles, and write a neat report for you. That is exactly what we are going to build.

How It Works

Instead of doing this all at once, we use a "multi-agent" approach. Think of it like a team where each person has one job. We have two main agents:

  1. The Researcher: This agent uses an AI model called Gemini. It takes your topic, thinks of the best search words, and asks Google to find real links and information.
  2. The Reporter: This agent takes everything the researcher found and turns it into a clean, easy-to-read document. It uses a faster version of Gemini to summarize all those notes for you.

Why This is Better

By splitting the work into two steps, the AI doesn't get confused. The first agent focuses on finding facts, and the second agent focuses on writing them down clearly. Once the report is finished, the system saves it right to your computer so you can read it whenever you want.

Get Started Today

You don’t need to spend any money to try this. You can get free keys for the Google Search tools and the Gemini AI model.

I’ve put all the code on GitHub so you can download it and start experimenting. It’s a great way to learn how AI agents actually work in the real world.

What You’ll Need:

  • Google Custom Search API: To help your agent look up info.
  • Gemini API Key: To give your agent its "brain."
  • Python: The language we use to glue it all together.

Building this is a fantastic first step if you want to understand how to create AI systems that actually do useful tasks. Good luck with your coding!