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Use cases
When you should optimize?
You have a valid use case and data sources, but no reliable path from raw data to a deployed model.
You need a first production release with clear acceptance criteria, baseline metrics, and a safe rollout plan.
You want clear ownership and a clean handover, so production does not depend on one person.
Your team has a prototype, but it breaks down on data quality, reproducibility, or deployment.
You expect ongoing retraining and want model updates to be routine, not a fire drill.
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