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Production-Ready AI Agents: 5 Lessons from Refactoring a Monolith

Luis Sala, Customer Engineer. Jacob Badish, Territory Account Manager. Frank Guan specializes in product marketing for AI agents. Creating an AI agent that performs flawlessly on your local computer is straightforward. Creating one that endures real-world conditions—managing rate limits, preventing infinite loops, and scaling past hardcoded data—is an entirely different challenge. It’s not merely about writing elegant code—it’s about preventing runaway cloud costs, reputational harm from hallucinated responses, and the operational disaster of silent failures in production. To address these „fragile architecture“ patterns, we created the AI Agent Clinic. Our initial objective: a full teardown of „Titanium“—a promising yet brittle sales research agent. In the first episode, Luis Sala joined Jacob Badish to rebuild the show from scratch.

  Google Developers Blog