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Written by Max Zeshut
Founder at Agentmelt
A gradual deployment strategy where an AI agent first handles a small percentage of traffic (often 1–5%) while metrics are monitored, then expands to larger percentages as confidence grows. Canary rollouts limit blast radius if the agent regresses, and they make it possible to detect quality, cost, and safety issues on real traffic before they affect every user.