The Prompt Library gives you patterns for driving analysis with AI. This is where you practice them. Below is a small customer table. Pick an analysis goal, watch the matching prompt pattern fill in, edit it to make it your own, and run it against this data.
A synthetic accounts-receivable extract. Revenue is right-skewed, two accounts are far larger than the rest, and there are two segments. This is the table every prompt below runs against.
| customer_id | segment | revenue ($) | days_to_pay | region |
|---|
Each goal is one of the five moves from the Prompt Library. Click one and its prompt pattern fills the box below, already adapted to this table's columns.
Run prompt sends your prompt straight to the model, which gets the 20 rows along with it, and shows the answer below. If you would rather use your own AI in another tab, Copy prompt gives you the text plus the data to paste in. Either way, compare what you get back to the model answer.
Pick a goal first. This reveal shows the kind of answer a strong version of that prompt should pull back, so you can compare it to what you got. It is a yardstick, not a substitute for running your own.
The first five cards are the five categories from the Prompt Library page, each pre-filled with a worked version pointed at this table. The sixth, Chart it, asks the model to draw a chart of the same data so you can compare it to the reference chart the page already knows is right.