Multi-Agent AI Systems: How to Catch Hallucinations Without Reading Every Output

Multi-agent swarms use checker agents to automatically detect hallucinations, worker shortcuts, and even boss-model bugs without human review. The approach catches errors by having separate agents audit each other's outputs.