Cut AI Agent Costs with Token Economics

​Every agent step resends its instructions, tools and history, and every step is billed. Most teams see one number on the invoice and cannot say which agent, feature or customer caused it. Live, I break one agent's run into tokens, put a cost on each task, feature and customer, and cut it with three levers: model routing, prompt caching and a budget per agent. Part 4 of 7 in the Agentic AI Systems series.

​This session is hosted on Maven. Register at https://maven.com/p/1eda97 to get the Zoom link.

​What you will leave with

• ​Put a cost on every task and customer: Count input, cached and output tokens per step, then roll them up per feature and per customer.

• ​Cut the cost with the right lever: Route simple steps to a smaller model, cache the stable prompt and trim the context the agent rereads.

• ​Set a budget an agent cannot exceed: A token budget per agent and per customer that stops a runaway run.

​Join this free live lesson to put a cost on every AI agent task and cut it live, then design the whole system with a budget in the Design Production-Grade Agentic AI Systems workshop.