Beyond the Demo: A Real-World Framework for Deploying AI Agents

Most AI agents fail in production because they are tested on 'clean' data rather than the messy, unpredictable inputs of actual workflows. This framework shifts focus from benchmark scores to operational reliability, ensuring agents can handle tool-calling complexities and scale costs effectively.