Practical writing on AI spend, agent fleet management, cost attribution, and the operations that make production agents actually work.
The LLM API bill is not your AI agent cost. Most teams discover this the hard way — when the invoice arrives and the real bleeding has already happened in observability tooling, retry loops, and context that grew unbounded. Here are the 5 signs your fleet is hemorrhaging cash, and how to stop it.
Every AI vendor shows you the case study where agents paid for themselves in six months. Few show you the pilot that worked perfectly and production quietly burned $80,000 in tokens while nobody was watching. Here's the full stack — and why most companies are only seeing half of it.
Cloud FinOps tools were built for infrastructure that behaves. VMs spin up, run, and get billed by the hour. The cost is linear, predictable, and taggable. AI agents don't behave. They call a model. Maybe it answers in one pass. Maybe it loops five times because it hit a retry. By the time your Cost Explorer shows the spike, the agent loop has already finished.