FOUNDATIONAI SRE

Treat Quality as a Reliability Signal

For AI systems, a technically successful response can still be a user-visible failure when the answer is irrelevant, unsafe or ungrounded.

WHY IT MATTERS

Semantic quality is part of reliability even though it is harder to measure than HTTP status codes.

PRODUCTION EXAMPLE

A RAG assistant stays available during a bad ingestion rollout but begins retrieving outdated procedures. Availability remains 100%; task reliability does not.

SRE DECISION

Which automated evals or sampled human checks represent unacceptable quality degradation?

REMEMBERFor AI, '200 OK' can still be an outage.
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