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Concentric AI co-founder Madhu Shashanka argues that the scarce resource for agent swarms is coherence. He points out that as coding agents rapidly become more reliable, enterprises will deploy large numbers of agents, and the real challenge will shift from the reliability of individual agents to swarm consistency. Taking the example of 10 agents each with 95% accuracy chained together, which brings overall accuracy down to about 60%, he illustrates that reliability cannot be stacked, and proposes that organizations need a continuous self-awareness mechanism akin to proprioception, otherwise they can only barely get by with manual auditing and periodic reviews. The related report was published on October 16, 2026.
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Oct 16
Unite.AI
AI Is Getting Smarter, but Consistency Across Agent Swarms Is Getting Harder
Madhu Shashanka, co-founder of Concentric AI, points out that as coding agents rapidly become more reliable, enterprises will deploy large numbers of agents, and the real challenge will shift from the reliability of individual agents to consistency across the swarm. He cites the example of 10 agents, each with 95% accuracy, chained together, where overall accuracy drops to about 60%, to show that reliability does not compound. He proposes that organizations need a continuous self-awareness mechanism akin to proprioception; otherwise, they can only barely keep things going through manual auditing and periodic reviews.