← BackReference (opens in a new tab)

The AI spreadsheet converter

The transformation rules are already fully specified. · PM Drills · 23 · 30 sec–2 min

The AI spreadsheet converter · 30 sec–2 min

Situation

A team proposes an LLM for a fixed CSV conversion.

All columns, types, and output mappings are known. The task must be repeatable and reject invalid rows clearly.

Think before scrolling

What would justify using a model here?

Separate deterministic transformation from any truly ambiguous part of the workflow.

How a strong PM thinks

Start with a tested mapping and validation.

Ordinary code can rename fields, convert units, and report malformed values. A model adds variability and cost without addressing uncertainty in the stated task.

If unknown source schemas later appear, a model could propose mappings for review. Keep the approved transformation deterministic. Evaluate that narrow benefit instead of replacing a reliable pipeline with generation.

Takeaway

Use AI for the uncertain step, if one exists.

Known rules usually deserve explicit, testable execution.