4 posts
Most engineering discussions about agents start too early with the word agent and too late with the operational loop. In practice, the important design question is simpler: once a model can take more than one step, how does the system decide what to do next, what tools it may call, what it is all...
Agent has become one of the most overloaded terms in AI. Product teams use it to describe everything from a chat interface with retrieval to a long-running process that can plan, call tools, and take actions on its own. That vocabulary drift creates a practical problem: teams start arguing about ...
Customer support is a useful capstone example because one message can require retrieval, tool use, memory, routing, and approval boundaries at the same time.
A useful AI system is defined less by whether it is called an assistant or an agent than by how much control it has over the next step.