5 KPIs for Controlling Agents at Runtime

Unlike traditional software, where behavior is expected to remain stable after deployment, agents have no equivalent moment of "done." Agents and models are inherently unpredictable and indeterminate.

And while most teams running agents in production have invested in observability and generally know when something is wrong, visibility into a problem and the ability to act on it fast enough to matter are different things.

Read the ebook and uncover:

• The five KPIs that close the control gap: four to measure, one to act.
• Where teams running agents in production fall among one of three defined patterns.
• How LaunchDarkly maps to the 5 KPIs to help teams maintain control over agents in production.