Part 5 of a series on taking AI systems from prototype to production, focusing on environment-aware control. Argues that dev, staging, and production environments should not share identical configurations — each serves a different purpose and requires different policies, cost limits, routing decisions, and guardrails. Proposes a single adaptive system that changes behavior based on context rather than maintaining separate systems. Covers how environment-specific policies enable team independence, safer progressive delivery, and form the foundation of a unified AI control plane.
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