17 October 2024 / Applied AI / 8 chapters

Evaluating an AI workflow before customers depend on it

Hands using a digital caliper to measure a machined metal part.
Photo: Hans Westbeek (opens in a new tab)
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Before customers lean on an AI feature, I want a test set that looks like the work it'll actually get. Here's how I'd collect the tasks, decide what counts as acceptable, go after the failure modes, measure review effort and make a call on a controlled release.

Chapter 1: Start with the job the feature will actually do

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