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checklist - AI for CSV operations

AI for CSV operations checklist

Prepare exports for reporting, imports, and lightweight ETL without building a full data stack. This page is built for operators, RevOps, data assistants, ecommerce teams who need to turn raw CSVs into usable working tables.

Checklist

Mistakes to avoid

editing the only copy of the file

Make the prompt more specific, keep the source data visible, and review the output before using it in a live workflow.

not validating row counts before and after cleanup

Make the prompt more specific, keep the source data visible, and review the output before using it in a live workflow.

assuming every source uses the same delimiter

Make the prompt more specific, keep the source data visible, and review the output before using it in a live workflow.

forgetting to keep a raw archive for reruns

Make the prompt more specific, keep the source data visible, and review the output before using it in a live workflow.

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