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More agents, more problems: What’s really holding back multi-agent AI

calendar_today February 23, 2026 person Cribl domain cribl

Multi-agent AI promises human-capable intelligence and reasoning with machine-capable speed and scale. However, today’s multi-agent systems fail frequently and in predictable ways. New research shows the root cause isn’t a lack of intelligence, but a lack of systemic visibility, coordination, and verification.

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