This toy model uses Engineering Quality as a state Q(t) (automation, CI speed, tests,
guardrails, refactoring discipline). Quality acts as an inverse multiplier on operations and maintenance cost.
AI primarily amplifies the control loop (change capability), accelerating software volume growth (V(t)).
This chart compares feature/volume growth for three regimes (Average, Quality Investment, Sloppiness), each shown
with and without AI. AI-on uses aiAmplification = 2.0; AI-off uses
aiAmplification = 1.0.
V(t) is a proxy for how much system exists to operate and maintain.
AI-on grows V faster; if quality does not rise, this amplifies Ops/Maint cost.