AI Experiments

New technical capability can look impressive before it becomes useful. The risk is solving for the demonstration instead of the person, decision, or workflow.

Each experiment starts with a behavior or uncertainty worth learning about, then reduces the concept to the smallest interaction that can produce real evidence.

Prototype the riskiest assumption first. Keep the experience legible enough to critique, and unfinished enough to change when the evidence points elsewhere.

These studies combine independent making with critique from the people closest to the problem, allowing product direction to form around observed use.

The experiments are an evolving practice rather than a finished case study. This page will become a living index of questions, prototypes, and what each one changed.