Thesis: an agent-native workspace for running and tracking ML experiments [P]

Thesis is an agent-native workspace designed to streamline ML experiment workflows by integrating experiment orchestration, run tracking, and agent-driven analysis. It aims to reduce fragmentation in model development by allowing users to inspect datasets, launch training, and monitor metrics from a single interface.