Each guide is a short answer to one engineering question about taking an agent to production. Every answer also says what it costs to run and what the runtime has to provide.
Agent work has to survive a restart, a deployment, and a wait that lasts days.
An agent's memory lives somewhere, and every turn pays to read it.
Work arrives faster than the thing consuming it can take.
An agentic system's cost to run changes as it scales.
Model choice, training a smaller model, and owning the result decide what inference costs.
An operator has to stop an agent, prove what it did, and satisfy an auditor.
One system runs in several regions, and the rules differ in each.
Output with no single right answer still has to be judged.
Everyone who builds has to build the same way, whether they write code or not.
