LANDMARK · 5 MIN · USE
Spreadsheets
After this landmark, you can use AI to build and explain spreadsheet formulas while keeping the actual computation in the sheet, not in the model’s head.
↗
This concept is shared, but the Everyday lens is less central here.
You can still explore it. We’re showing the shared explanation and a related practical view without hiding the knowledge.
A language model is strong at the mechanics of a spreadsheet: the VLOOKUP you half-remember, the regex to split a messy column, the pivot you’d have to look up. That work is inspectable — you can paste the formula in and watch it recompute. The danger is asking it to be the calculator. When a model “reads” your numbers and reports a total or a trend, it’s predicting a plausible figure, not computing one, and a wrong number in a cell looks exactly like a right one. Have it produce formulas you can check, not answers you paste on trust.
This is the canonical concept. It stays the same across learner lenses so personalization never changes the underlying facts.
◌ EVERYDAY LENS
What this looks like for you
For a home budget or a list, let AI write the formula and explain what it does — then let the sheet do the actual adding. Recompute one row by hand to confirm it behaves.
MAKE A DECISION
You paste a table into a chatbot and ask for the average of a column. It replies with a specific figure. What’s the safest next step?
CARRY THISTake one AI-suggested figure from a sheet, ask for the formula behind it, drop it in a cell, and confirm the numbers match.