Underneath, the gap is identical: more gets produced each week than anyone can read closely enough to vouch for, and the distance between what your systems do and what anyone can still account for widens on its own — showing on nothing you currently watch. What differs is how that gap surfaces. The door it comes through. The metric that hides it. The day it finally forces a reckoning. Those are not the same for a company that sells software and an IT team that builds for its own business. The quantity is the same on both curves: legibility — whether what your systems do is written down anywhere, and whether anyone still knows it. Tashika reads it at every rung below. So before the curve, one question.
The curve isn't the same for everyone.
Every shop that lets a model write production code walks the same kind of curve. How it bends depends on one fact — whether software is the thing you sell, or the thing you run on.
Choose whether software is your product or runs your business, then step through the five-rung curve for your case; each rung expands to show what is happening and where the instrument goes in.
You build software for customers.
The dashboards are the best they’ve looked — which is exactly when the gap starts opening, quietly, while every number says the opposite.
Take the before. A reading while you still have one, so you know what you had on the day the board was still telling the truth.
You don’t get to choose whether your shop is on this curve. You only get to choose whether you can see where you are — and whether, on the day the machine hands you something wrong, anyone on your team can still tell.
The shadow risk shrinks behind a sanctioned channel — and the lift is thinner than the demo promised, because your systems are bespoke and underdocumented, and the model has never seen them.
Early on there’s little to read, and the gauge won’t pretend otherwise. The one move that pays now is the before — a baseline of the systems you already own, taken while they’re still the ones you understand.
A software company can let a bad system age out of its product. You can’t. You’ll be answering for this one in ten years — and on that day, the only thing that matters is whether anyone can still say what it does.