Practice 9 min read
A field guide to AI evals
Practical ways to measure whether your AI feature is actually getting better.
An evaluation is a claim about what good looks like, made executable.
Start with the failures users remember. Name them, collect them, and make improvement visible over time.
“The interface is no longer a surface. It is a relationship.”
The teams that understand this shift will build products people can rely on—not because they are infallible, but because the exchange between person and machine is clear.