Drug discovery, new materials, and manufacturing planning look like different worlds — but from a data perspective they pose the same problem: find good candidates in a design space far too large to search. And what counts as “good” is yours to define — a molecule that’s easier to make, a material that’s cheaper, a schedule with less waste. We’ll walk through the idea of GFlowNets, demo it live in code, and show how you can adapt to your own work.