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Extract the core pipeline logic (Sections 0-6 of the notebook) into a script that runs non-interactively via Rscript
Swap flat-CSV outputs (unified_ledger.csv, pursuit_rankings.csv, etc.) for DuckDB tables as the actual storage layer -- reuses the DuckDB dependency already in place for querychat
Confirm the dashboard's app.R can read from the DuckDB tables instead of the CSVs, or documents clearly why it still reads CSVs if that's the final call
Update README to describe the pipeline as a script + database, not just a notebook
Suggested pace: ~2 sessions this week
Rscriptunified_ledger.csv,pursuit_rankings.csv, etc.) for DuckDB tables as the actual storage layer -- reuses the DuckDB dependency already in place for querychatapp.Rcan read from the DuckDB tables instead of the CSVs, or documents clearly why it still reads CSVs if that's the final call