Measure quality, latency, token usage, retrieval relevance, safety, and business outcomes with automated evaluation and operational telemetry. Apply it to the mobile application backend with documented ownership and validation.

Ignore token cost because it is not infrastructure capacity. This ignores a core requirement of the objective.

Treat any fluent model answer as correct without validation. This leaves avoidable risk for the mobile application backend.

Tune prompts directly in production with no regression checks. This weakens responsible AI review and creates operational fragility.