The Workflow Edit | Practical AI Tool Tutorial

How to Use Julius AI Without Generic AI Instructions

Julius AI analyzes a spreadsheet you upload using plain-English questions. It works best when you name the exact columns and make it show the rows it counted.

Dear Suzannah

Dear Suzannah, my boss wants a chart showing which region grew most this quarter, and I have a 4,000-row sales CSV that makes Excel freeze every time I try a pivot table. How do I get the answer without breaking my laptop?

Ask a plain-English question and demand the source numbers.

The real use case

You have a large spreadsheet — sales, survey results, a CSV export — and need a specific analysis: a comparison, a trend, a top-10. You need the answer with the underlying numbers shown so you can actually trust it.

The tool-specific prompt to use

This prompt is specific to Julius AI and this use case. Paste it into the chat box, then replace the bracketed notes with your real project details.

I am uploading a CSV: [label it, e.g. 'sales by region, 4,000 rows']. Answer this question: [your exact question, e.g. 'which region grew the most in revenue from Q1 to Q2 this year']. Columns to use: [name them, e.g. 'region, date, revenue_usd']. Date range: [e.g. 'Jan-Jun this year']. For your answer: show me the exact rows or the calculation you ran — do not just hand me a number. Chart type I want: [bar / line / table]. If a number depends on a filter or assumption (like excluding refunds), state it. If the data has gaps or duplicates that change the answer, flag them. Do not use a column I didn't name. Do not invent rows. Give me the answer, the chart, the source rows you counted, and the one number I should spot-check by hand.

Prompt length: about 200 words.

Make the result less generic

  • Name the exact columns to use — don’t let it guess.
  • Ask it to show the rows it actually counted.
  • Request a specific chart type that fits the question.
  • Demand the formula or calculation, not just the result.
  • Set the date range so it doesn’t pull stale data.

Quick human check

  • Did it use the right columns?
  • Does it show the source rows it counted?
  • Does the chart type fit the question?
  • Do the numbers match a quick spot-check?
  • Is the date range correct?

Sources and further reading

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