The Multi-Agent Scaling Trap

Senior AI Engineer interview at Google DeepMind, and the interviewer asks:

“Your single-agent system has plateaued. Going from 1 to 16 agents gave a big quality jump. Leadership now wants 64. What does the scaling curve actually look like, and where do you stop?”

Don’t say: “More agents means more perspectives, so quality keeps going up. Just keep adding them until it stops improving.”