Supervisor Pattern Fixes AI Support Bot Confusion in Multi-Task Deployments

A developer building a customer support bot with LangGraph and MCP encountered production failures where the bot mishandled queries by confusing orders, shipments, and returns. The root cause was a single overloaded agent trying to manage query understanding, data retrieval, and response generation simultaneously. To resolve this, the developer adopted the Supervisor pattern, which uses a manager agent to delegate incoming queries to specialized worker agents. Three dedicated worker agents were created — one each for orders, shipments, and returns — each handling only its designated task. A key caution noted is ensuring worker agents are properly scoped, as misrouted delegation can still cause failures if agents lack the capability to handle assigned tasks.