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Trust is the real feature

Why the same model succeeds in one product and fails in another

Checkpoint: designing for verification

How much automation

The automation spectrum and where to sit on it

Human-in-the-loop patterns that work

Checkpoint: placing the automation dial

The design work that makes or breaks an AI feature: what the product does when the model is wrong. Covers calibrated trust, the automation spectrum, human-in-the-loop patterns, and the correction loop.

Your AI feature will be wrong sometimes. That is not a bug to be fixed later, it is a
permanent property of the thing you chose to build.

Designing for Uncertainty

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