Issue 30, Nov 3, 2026
The Multi-Agent Org Chart
Senior AI Engineer interview at Google DeepMind, and the interviewer asks:
“Your multi-agent system is built like an org chart. Worker agents draft, mid-level agents consolidate, a manager agent presents the final answer. Research shows the reverse works better: one root proposes, branches fan out, a hidden node synthesizes the leaves. Why does the upside-down tree win?”
Don’t say: “Because more agents collaborate at the end.”
Why structuring multi-agent workflows like corporate hierarchies silently destroys your best outputs and how single-synthesis fan-out trees preserve reasoning fidelity.
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The full answer, with the mechanism and the arithmetic, is for paid subscribers on Substack.