A functional system was built to improve a transaction. It worked technically.
Technical completion was being mistaken for proof that the underlying human and commercial problem had been solved.
If the system functioned as designed, the important uncertainty had been retired.
A working implementation was taken far enough to expose the proposition to reality.
Function was not desire. The system optimized mechanics while the more consequential uncertainty sat outside the software.
Time, attention and capital can accumulate behind an implementation before demand or human fit is understood.
Working software is evidence of function—not evidence of value.
Prototype scope must be chosen around the most dangerous uncertainty, not the most satisfying thing to build.
EVO now separates technical proof from commercial and behavioral proof, and asks what must be learned before more system is justified.
The implementation follows the diagnosis—not the other way around.
How early can the wrong-problem signal be detected without underbuilding the evidence?