Building AI-Native Products
Build Your Own AI Research Agent
Hosted by Will Brown
.png&w=1536&q=75)
What you'll learn
Equip agents with powerful search tools
Integrate powerful MCP Server search tools into chat and code interfaces
Create guidelines for search patterns and report style
Convert a single example report into rigorous instructions for your agent to follow on any new request
Iteratively refine your agents with text-based feedback
Learn simple techniques for creating "self-improving" agents that remember your feedback and get better over time
Why this topic matters
Deep Research products have emerged as winning AI agent formulas in 2025. Building your own is much simpler than you think. We'll do it from scratch in less than an hour. You'll come away with a clear understanding of how to build and refine custom Research agents with access to your own tools, documents, and guidelines.
You'll learn from
Will Brown
Researcher at Prime Intellect advancing open-source RL for Agents
Will is a Research Lead at Prime Intellect, working on advancing the frontier of open-source agentic RL. He was previously a Machine Learning Researcher at Morgan Stanley and an Applied Scientist at AWS, and completed a PhD in Computer Science at Columbia University focused on multi-agent learning.
Go deeper with a course
Keep exploring
