Playbook
MLOps for Prototypes — Practical Playbook (Lightweight, Actionable)
A practical, step-by-step playbook to keep AI prototypes reliable, observable, and ready to graduate. Focuses on lightweight MLOps: minimal deployment checks, instrumentation, monitoring and drift detection, retraining triggers, rollback plans, ownerable governance, cost and data safeguards, and a clear post-trial decision template.
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