TOPIC OVERVIEW · AI QUALITY
Trust does not come from a wow moment.
Positive, negative and repairable scenarios show whether an AI task remains useful under real conditions.
The test card for an AI task
A successful AI answer can feel remarkably convincing. That is precisely its risk: when it is fluent, fast and plausible, it is easy to mistake a strong first impression for reliability. Anyone who wants to work with AI needs less admiration and more small, repeatable tests.
01 · PositiveThe normal case fulfils a clear purpose.
02 · NegativeThe boundary becomes visible when the basis is missing.
03 · RepairableErrors lead to a traceable next step.
KERNMETHODE
The test card
Define the task, three scenarios and a few acceptance criteria. Only then evaluate the answer.
Test a recurring task in the normal case, at a boundary and with a deliberate small error.