The Coordination Gap: What Workflows Alone Can't Fix

AI frameworks excel at defining individual agent capabilities but often fail at coordinating shared state, creating the most common failure mode in production systems: silent data corruption. Understanding this distinction—between workflow design and state coordination—is critical for teams scaling multi-agent deployments. This insight explains why many production AI systems fail unexpectedly despite well-designed workflows.