Somewhere in your model, something is wrong. It has no way to tell you.
You live in Flatland.
Your model has rows you're confident in and rows you're less sure about. You sent it to investors last week. You've been quietly hoping no one asks about the bottom half.
Your spreadsheet works fine.
It's a reasoning problem — formatted nicely, color-coded, looking exactly like something rigorous.
Abbott's Square doesn't just fail to see the third dimension. He argues against it. He tells the Sphere it's impossible. He's built his entire understanding of reality on two dimensions and he's built it well.
You know the feeling.
Flatland: A Romance of Many Dimensions — Edwin Abbott Abbott, 1884
There are more dimensions than you can see.
When a model compiles, it becomes a shape — not a grid. Dependencies are visible. You can see which assumptions drive which outputs, trace the spine of the thing. For the first time, your model has a form you can walk around.
You've been building one version of your future and betting it's the right one.
It isn't. It can't be. The future is a distribution, not a point.
Base. Upside. Downside. Not three separate files. Not three tabs. One model, three realities, held at the same time, reasoned across at the same time — not as anxiety, but as information.
You stop betting on one future. You start reasoning across all of them.
Most of what you're losing sleep over doesn't matter.
A handful of your assumptions drive almost all of your variance. The rest is noise you've been treating like signal.
Flatland shows you the gradient — exactly which assumptions, if wrong, would change your outcome. You stop losing sleep over the whole model. You start watching the three numbers that actually decide.
You've always known your model should be more honest than it is. Not more complex. More honest. More interrogable. More like the way you actually think about your business — in structures and dependencies and conditional futures — not in rows.
Your AI agent builds it. Flatland compiles it. Either it works — typed, structured, assertion-checked — or it doesn't. No ambiguity.