Deploying an AI agent in a test environment is easy. Putting it in production with access to live APIs, customer databases, or real money is where things break down. If you rely on prompt engineering to keep your agents safe, it will fail. Prompting an LLM to "be careful with refunds" is probabilistic. Production systems require deterministic rules, hard limits, and human fallback triggers. Here is how to structure production-grade guardrails outside the LLM layer. The Core Rule: Con...