CSV validation checklist with AI checklist

Checklist

Raw source material is preserved before AI edits begin.The desired output format is written explicitly.Edge cases, missing values, and exceptions are listed.The first output is reviewed against real examples.The final prompt is stored for reuse.Sensitive or policy-heavy cases get manual review.Document expected row count and required columns.List accepted formats for key fields.Ask AI for validation checks and exception categories.Run final checks before import or report use.

Mistakes to avoid

not checking 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.

treating warnings as clean data

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

missing required columns

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

not saving validation results

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

Related workflow pages

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