Ever wondered how AI's reshaping credit markets behind the scenes?

Dan Wertman, the guy running Noetica, recently broke down something fascinating—his startup built AI systems that dig through deal documents, picking apart language patterns and contractual terms. Not just reading, but actually tracking how the wording shifts over time.

Think about it: credit agreements aren't static. When lenders start tweaking terms or language gets tighter, that's often your early warning sign that market confidence is wobbling. Traditional analysis misses these subtle shifts. But machine learning? It catches the nuances humans overlook.

What makes this interesting isn't just the tech—it's what those linguistic trends reveal about underlying market stress before numbers show cracks.