Your Agents Don’t Need Better Models. They Need Better Plumbing.
There is a familiar pattern in enterprise AI projects. The team starts with a model. When the prototype disappoints, they change the prompt. Then they add retrieval. Then they try a larger model, a longer context window, or a new framework. Eventually someone asks the question that should have come first: why does the agent still fail when it leaves the demo? Often, the model is not the answer. The plumbing is. ...