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BitBoard's shared provenance and verification layer directly addresses the core failure modes agents face in data analysis — bad inferences from missing business context and unverifiable outputs — by making agent work observable and sign-off-able by human teams.
The map-reduce-style sub-agent pattern for dynamic column generation offers a concrete architectural blueprint for building structured, scalable data-analysis agents.