Five guides to building and scaling production-ready AI agents

Google Cloud has published a five-part series summarizing architecture patterns and best practices for running AI agents in production, tied to the Gemini Enterprise Agent Platform announced at Google Cloud Next '26. The guides cover: (1) design patterns for long-running agents with checkpoint-and-resume and human-in-the-loop approval; (2) a five-layer agent governance stack including cryptographic agent identity, centralized tool governance, and behavioral anomaly detection; (3) multi-agent orchestration patterns in Agent Development Kit (ADK) including hybrid graphs and coordinator-specialist patterns; (4) integration patterns using Agent-to-Agent (A2A) and Model Context Protocol (MCP) for cross-organization agent federation; and (5) pre-built Atomic Agent Blueprints in Agent Garden to accelerate production-ready deployments. The platform supports routing tasks across 200+ models including Gemini, Gemma, and third-party models like Claude.