In this video, I walk through how the agent works, how it performs real web research, why source backed results matter, and what makes this approach more flexible than most off-the-shelf AI tools. The goal isn’t to replace existing tools — it’s to understand how they’re built and show that you can create powerful AI systems yourself. The project is fully open source, runs locally, and is designed to be modified, extended, or broken apart for learning. If you’re curious about AI agents, research automation, or building practical AI tools without going deep into theory, this video is for you.
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00:00 Intro
00:37 Introducing the Autonomous AI Research Agent
01:37 Project Walkthrough: GitHub and Installation
03:31 Setting Up APIs and Prerequisites
11:31 Running the AI Research Agent
12:55 Testing and Results
15:28 Advanced Features and Customization
18:59 Conclusion and Community Engagement
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