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

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Hi everyone, We built Thesis, a workspace for running and tracking ML experiments with an agent in the loop. It can inspect datasets, launch training runs, monitor metrics, and help iterate on experiments from a single interface. We're aiming to make model development less fragmented by combining experiment orchestration, run tracking, and agent-driven analysis in one place. Curious what this community thinks: where would this actually save time in your workflow, and where would you still pre...