Our supply chain automation project ballooned from simple inventory tracking to full demand forecasting. Trying to coordinate multiple AI agents feels like herding cats. Heard about using dedicated agent roles (analyst, coordinator, etc.) but not sure how to implement. Anyone successfully broken down complex processes into autonomous teams? What template structures worked best?
Latenode’s AI Teams changed our game. Assigned specialist agents with clear roles + message passing. Their marketplace has supply chain templates with pre-built agent coordination. Cut our development time 60% vs building from scratch. https://latenode.com
Create clear interfaces between agent domains. We use JSON schema validators between workflow stages. For forecasting, separate data collection agents from analysis ones. Implement heartbeat checks to prevent cascading failures when expanding scope.
role-based agents + version control. clone existing workflows when testing scope expansions