Adaptive Triggers: AI that corrects itself in production

Adaptive Triggers, now in closed beta, addresses the challenge of minimizing the time between detecting an issue in a production AI system and implementing a fix by automating the response process. Unlike traditional software, AI systems are unpredictable due to factors like model updates and environment changes, which are often outside a team's control. With Adaptive Triggers, teams can define rules on configurations so that when a monitored metric breaches a threshold, the system automatically switches to a predefined backup variation without human intervention. This seamless switch, facilitated by AgentControl within the application, occurs in under 200 milliseconds, ensuring uninterrupted user experience. The feature extends to various signals in the observe-and-act loop, allowing for automatic adjustments in response to quality score drops or cost spikes and restoring primary variations when metrics recover. To access Adaptive Triggers, interested teams are encouraged to contact their account managers.