AI agent deployments lack the monitoring, version control, and orchestration that traditional software takes for granted. Teams struggle to maintain reliability.
Build a platform that provides logging, traffic shaping, canary deployments, and rollback capabilities for agent workflows.
Target enterprises running production AI agents who need enterprise-grade reliability.
MVP could focus just on prompt versioning and performance metrics.
Big challenge: Requires deep understanding of emerging agent architectures.