AI Cost Control: The 500 Million Dollar Lesson
One corporation burned 500 million dollars in token cost in a single month. How hard limits, alerts and reports protect your budget.
A single incident showed what happens when AI runs without cost control. One corporation burned 500 million dollars in token cost in a single month, because an automated chain ran unsupervised. The lesson holds for the small business too: anyone using AI needs hard limits on spending.
How AI costs arise
Every call to a language model costs tokens, and tokens cost money. An agent running in a loop, kicking off one task after another and never stopping, can burn a multiple of the planned budget in a few hours. The danger is not in any single step, it is in the repetition without a cap.
What protects
Hard limit. An amount at which the AI stops. No soft hint, a hard stop.
Alert stages. A notice at 50 percent, at 80 percent, so you can step in before the limit bites.
Report. An open list of what cost how much when. What you cannot measure, you cannot steer.
Human stays in. No chain running without you. You set the frame, the AI sticks to it.
What this means for you
You need not be a corporation to learn the lesson. A single uncapped agent can burn the monthly fee in one night. AI cost control starts with setting a limit before you let the AI run.
How billing by effort works with us is explained in SMarTrTrader, numbers and costing.
What it costs
All nine agents are included in every cloud plan. Cloud Starter is €25.99 per month, Cloud Professional €36.99 per month. Every item is listed openly in the shop.
SMarTrAgents, nine AI agents in one shared workspace. Accounts and files are held in the EU.
AI agent pricing
All plans, minute contingents and add-ons with final prices and a market comparison, on one page.