Controlling an AI agent at runtime using Unleash

Unleash describes using its feature-flag platform to control a Slack-based AI agent built with the Claude Agent SDK at runtime through three main controls: an automated kill switch, a model-and-effort configuration flag, and a persona flag. The kill switch can block new requests and outbound messages when cost metrics, collected through OTLP and VictoriaMetrics, exceed a predefined threshold, while configuration variants allow model upgrades, such as switching to Opus 5.5, and A/B tests of different reasoning effort levels without redeploying. Persona variants deliver tailored system prompts for engineers and support staff, targeted through Slack user IDs and user segments, with fallback behavior available when personalization is disabled. To ensure stable interactions, assignments are sticky per user and evaluated at the beginning of each Slack thread, preventing model or persona changes during an ongoing conversation. The setup also records thumbs-up and thumbs-down reactions as satisfaction metrics and plans to expand toward more detailed evaluations, safeguards based on quality scores, persona experiments, and cost analysis by persona.

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