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Look a little closer · 3 minutes to explore

Understand the week's numbers

Check the story behind a fictional sales summary. Separate a supported total from a tempting assumption, and see why sales, refunds, and profit should not be treated as interchangeable.

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Fictional weekly records: three sales total $900; one $100 refund is recorded separately. Product costs and overhead are absent.

Claim 1Sales less the recorded refund equal $800.

Sample evidenceThe sample has $900 in sales and one $100 refund within the same week.

Claim 2The business earned more profit than last week.

Sample evidenceThere are no cost figures or comparable prior-week profit records.

Claim 3All $900 remained after refunds.

Sample evidenceA $100 refund appears in this week's records.

Something you can use

Separate claims from evidence

Fictional weekly records: three sales total $900; one $100 refund is recorded separately. Product costs and overhead are absent. Classify what the displayed sample supports, then inspect the explanation.

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These are authored sample claims and evidence. Unsupported here means not established by this evidence, not necessarily false in the world.

A little recognition

For the moments like this.

Your weekly report looks encouraging, but a refund arrived after the sales export and some costs are missing. You need to decide what the numbers actually support before sharing an upbeat update. Use the small fictional record set to practice distinguishing a calculation from a conclusion that requires more evidence.

What becomes possible

AI can help explain a supplied dataset and propose interpretations that you then verify against the records. Here you classify three sample business claims and compare your reasoning with the visible evidence. This sample asks you to judge three claims against visible authored evidence. The explanations are prepared examples, not external facts or live AI verification.

A possibility becomes yours when you use it

Take the next little step.

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A little help, right here.

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Sources, capability notes and how this example works

This local experience uses authored sample content and deterministic controls. Changing an input updates the example; no model runs, outside records are checked, or real-world actions are performed. Use the sources for the underlying AI capabilities and audience context, and the human check above when you apply the idea.

NFIB Small Business and Technology, June 2025 ↗Employer survey; task figures combine current and planned use. Accessed September 11, 2026.

ChatGPT data analysis capabilities ↗Current provider documentation; account features vary and results need checking. Accessed September 11, 2026.

Research checked September 11, 2026. Access to specific AI features depends on your account, plan and region. Sample amounts, timings, scores and feedback illustrate the method rather than claim measured outcomes.

Keep a little curiosity

Another useful possibility.

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