This hands-on session reveals battle-tested strategies for scaling AI agents from prototype to production. We'll cover critical engineering practices including robust monitoring systems, comprehensive logging frameworks, automated testing pipelines, and CICD workflows optimized for agent deployments. Participants will learn concrete techniques to detect hallucinations, measure reliability metrics, and implement guardrails that ensure consistent agent performance under real-world conditions. Join us for practical insights on building GenAI systems that don't just work in demos, but deliver dependable value in production environments.