What an Agent OS Needs Before Production

Paid Agent work cannot depend on fragile web requests or informal scheduled jobs. Long-running work needs retries, timers, approval pauses, resumability, and reconciliation.

That is why AI Team uses Temporal to keep long-running work from getting lost when a step fails.

A client Agent should have a template version, configuration, connected tools, approval rules, usage policy, QA policy, and deployment state.

Prompt, tool-permission, and model changes need checks and rollback paths before they affect many clients.

The service scales only if humans review exceptions, approvals, QA samples, incidents, and improvements instead of manually watching every run.

Operator tooling is part of what protects quality, not back-office overhead.