One thing I've learned from building multi agent AI systems is that the biggest problems rarely come from the model itself. Most pipelines fail during the handoff between agents. You can have a research agent, an analysis agent, and a reporting agent that all perform well on their own. Their individual outputs look great. But once they start passing data to each other, small inconsistencies begin to appear. Maybe the research agent returns a payload with a missing field. Maybe the analysis...