Building Decision Provenance Into AI-Assisted Data Science Workflows
I built this plugin for a boring reason: decisions in a data science project don't survive.
Not necessarily because nobody writes them down — but because they were never the kind of thing anybody writes down. You tried 80/20 in August; the holdout leaked promotions, you moved on. Someone in a review said "that's a time series", so the split became a rolling window. Upstream stopped shipping a column in v2, so there's handling for it now.
Six months later, none of that exists anywhere. The code shows the outcome and nothing else: a filter with no reason, a ratio with no history, a rejected approach that left no trace of having been rejected. So the next person tries it again.
So does your agent.
That was the problem I set out to fix. Record the decision next to the thing it explains, per task and per node, and put...
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