AI has moved from novelty to necessity in on-chain research. Used well, it clarifies messy data, accelerates risk discovery, and systematizes how opportunities are explored and vetted. The promise is real—but design and guardrails are everything.

In this session, we’ll unpack practical workflows for AI-assisted analysis. You’ll see how to route on-chain data through the right tools, structure prompts and constraints and keep humans in the loop where it matters. You’ll leave with a clear mental model for where AI adds signal—and where it doesn’t—grounded in real-life experience.