AI agents do not become expensive all at once.
They become expensive one small decision at a time.
One extra routing call. One confidence check. One retry. One tool failure that triggers another LLM request. One formatting agent that exists because it felt cleaner during the first design.
Individually, these calls look harmless. Together, they can turn a simple support request into a chain of model calls, tool executions, retries, and post-processing steps that nobody can easily explain from logs alone.
That is the problem I wanted to explore with a small TypeScript project: a cost-aware customer support agent that routes incoming requests, validates actions, calls internal tools, and generates a final response.
