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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 – Product Marketing for AI Agents. Creating a high-performing AI agent on your own computer is straightforward. Creating one that can withstand real-world conditions—managing rate limits, preventing infinite loops, and scaling far beyond 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“ anti-patterns, we created the AI Agent Clinic. Our initial task: a full teardown of „Titanium“—a promising yet fragile sales research agent. In the first episode, Luis Sala spoke with Jacob Badish to completely rebuild it from scratch.

  Google Developers Blog