Twelve months ago, building an AI agent meant picking a framework, defining your tools, standing up a RAG pipeline, and writing a stack of glue code to wire it all together. That was the default playbook. The post-mortem on six months of work usually went the same way: half the time went into infrastructure that had nothing to do with the agent’s actual job.