Updated 2026-09-17

AI for CSV Files: 8 Things You Can Do Without Writing Formulas

Most CSV work is not analysis as such — it is reading, checking, reshaping and explaining. Those are the tasks AI handles unusually well, because they are language tasks wearing a spreadsheet costume.

The eight jobs worth handing over

1. Summarising a file you have never seen: columns, ranges, what looks wrong.

2. Answering a specific question with the rows behind the answer attached.

3. Data-quality triage: duplicates, blanks, mixed date formats, numbers stored as text.

4. Explaining a column of codes or categories in plain language.

5. Writing the formula you need for a spreadsheet, then explaining it.

6. Reshaping between formats — delimiters, JSON, SQL inserts, sheet-ready tables.

7. Generating sample and test data from a description of the business object.

8. Drafting the sentence that goes with the chart, so the finding is not left implicit.

What to keep in a spreadsheet

Anything you will run again. If a number appears in a weekly report, it should live in a formula or a query, not in a chat transcript. AI is good at the first pass and the explanation; permanent, repeating arithmetic belongs in a tool you can audit.

The same applies to large-scale joins. If two files must be reconciled every month, build it once properly instead of asking again each month.

A working habit that keeps you honest

Ask for the working, not just the answer: \"show which columns you used and how many rows matched\". That single addition makes the result checkable, and it usually exposes the question that was too vague in the first place.

Then spot-check one row by hand. One minute of checking makes the difference between a finding and a guess.

Frequently asked questions