Abstract We often treat multi-agent architecture as the solution to complex AI workflows. In production, the harder work is building the harness around the model: clear agent boundaries, useful retrieval, safe tool access, human-review points, and evaluation that measures real outcomes. In this talk, I will share lessons from a six-agent LangGraph workflow for prospect research and outbound opera… more