Yadnesh Salvi

Story · Arize

How Uber evaluates AI agents at production scale (Arize)

blog post · Story page

A row of identical passing test tubes on a lab bench, with a lone slice of pizza on the floor beside it casting a shadow over them.

A background comment about pizza exposed a failure Uber's offline agent evaluations had missed; the post lays out what production evaluation needs instead.

In plain words

  • Uber discovered a failure its earlier tests missed after an unrelated pizza comment exposed it.
  • Uber says real-world checks need automatic records of what the system does during each task.
  • Those checks must use changing test examples and be jointly owned by the teams responsible.
  • Connecting test findings to product choices helps Uber catch problems that controlled checks overlook.

Appeared in

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