CSV import error 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.Identify source and target systems.List required and optional fields.Ask AI for import checks and exception categories.Run the checklist on each CSV before upload.

Mistakes to avoid

not counting rows 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.

skipping required field checks

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

editing the only copy

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

ignoring delimiter or encoding issues

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

Related workflow pages