Your AI Agent Is Not a Chatbot Anymore. It's a Distributed System.
The moment an AI agent starts calling APIs, maintaining state, waiting for events, and changing the real world, the engineering problem changes completely.
For a while, the easiest way to understand an AI agent was to think of it as a chatbot with a few extra capabilities. A user gives it an instruction, the model reasons about the request, it calls a tool when necessary, receives the result, and then responds. That mental model is simple enough to build a prototype around, and for many early experiments, it is perfectly reasonable.
The problem starts when the agent becomes useful.
The first time we allow an agent to update a CRM record, create a support ticket, approve a transaction, check inventory, modify infrastructure, send an email, process a refund, or trigger another workflow, the architecture changes in a way that is easy to miss. The interface may still look like a...
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