SYS/CASE_STUDIES · FIELD_REPORTS
Case Studies
Real problems, real evidence. Every study documents a hard problem, how AI was put to work on it, and what the evidence showed at the end. Some studies are systems that shipped. Some are investigations that closed.
Problem, method, outcome
Nothing in between. Each study is built from the same three parts, whether it ends in a system that ships or a diagnosis that holds, so the way AI was used can be compared across very different problems.
The problem
What was manual, broken, or unexplained, what it cost, and what everyone else had already tried.
The method
How AI was put to work and where the human held the line: the system built or the evidence gathered, the hypotheses tested, and why that shape.
The outcome
What the evidence showed at the end. Time saved, output shipped, a fault proven, a wrong theory killed. Numbers and proof first, including where the AI was wrong.
The studies
Documented builds and investigations, newest first.
Next study
Have a problem worth documenting?
Every study starts as real work: a workflow to replace, or a fault nobody else will look at. Describe yours and it can become the next field report.