With GenAI, teams manage AI prompts and models without relying on code pushes or redeploys. This is where AI Configs comes in, a solution that provides control, speed, and confidence for managing AI workflows. AI Configs allows teams to experiment with different model variations in production without redeploying code, run A/B tests, track key metrics, and govern access to model configurations. It's designed for building safer and more scalable AI applications, making it suitable for chatbots, recommendation systems, summarization engines, and other intelligent user experiences. With AI Configs, teams can iterate without redeploys, target specific contexts, monitor with confidence, experiment like pros, and govern AI Configs with guardrails. The solution is built to help manage AI like product infrastructure, reducing waste by providing fine-grained control over model deployment, access, and cost.