Blog
Insights on AI agent observability, governance, accountability, and the engineering practices that make autonomous systems trustworthy.
AI Operations
Drift Detection for AI Agents: Catching Behavioral Shifts Before Users Do
A model update, a data source change, or a subtle prompt regression can shift agent behavior in ways that take weeks to notice. Drift detection catches these shifts in hours.
AI Operations
Safe Agent Deployments: Canary Releases, Shadow Mode, and Progressive Rollouts
Traditional deployment strategies were designed for deterministic software. AI agents require adapted patterns — shadow mode, progressive rollouts with quality gates, and automated rollback triggers.
AI Operations
Change Intelligence: How Fingerprinting and Deploy Tracking Prevent AI Regressions
A 2% prompt tweak can cause a 30% quality drop that takes weeks to notice. Change intelligence connects every deploy, config change, and prompt update to its downstream behavioral impact.