Most AI research tools compete on speed, and for good reason. Data collection, transcription, and synthesis eat the hours. But speeding up the work downstream does nothing if the thinking upstream was wrong.

In this session, Michele Ronsen shows what happens when AI works upstream. That's where judgment matters most, and where research goes wrong first. Using an AI research partner she built on Curiosity Tank's methodology, she pressure-tests real, anonymized research.

Because speed only helps once the thinking upstream is sound. Come see it in action!