Public product history, owned-system builds, clearly labelled synthetic demonstrations and operator viewpoints on what it takes to move AI from an answer into a governed operation.
The model understood the question perfectly. It returned fourteen confident names, four of them wrong, and nobody could tell which four. New Iron Mountain research says 86% of organisations have had AI work delayed or derailed by data in the past year. The bottleneck was never the model.
Nathan Krisanski’s HomePrezzo founder history and the 2020 ActivePipe acquisition, linked to public sources and separated from present-day KNIC demonstrations.
The useful production test is not a perfect model answer. It is a deliberate failure that stops safely and can be recovered without silent or duplicate work.
Every SaaS product ever built rests on an assumption so basic nobody wrote it down: the user is a person. That assumption is now wrong roughly some of the time, and heading towards most.