Free Lesson
Cut AI Agent Costs with Token Economics
60 min
Nov 12, 2026 12:00 PM
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What you'll learn
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.
Why this topic matters
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.
