Cockroach Labs shows how to stop bleeding cash on AI agents

Cockroach Labs published a look at how companies are managing costs when running AI agents at scale. The post walks through the infrastructure challenges that show up when you move from a prototype to production — compute, storage, and the kind of operational overhead that sneaks up on teams.

The company's own data is the backbone here. They're looking at what happens when you run AI agents across regions, handle retries, and keep latency down under load. The numbers point to a practical question: how much of your spend is actually moving work forward versus burning through tokens and connections just to keep things alive.

Why this matters for us: as AI agents move from hype to the daily grind, the companies that figure out cost control first will be the ones we actually trust to run our systems reliably.