Single AI agents hallucinate without detection claiming success when operations fail, using wrong
tools, and fabricating responses. No self correction mechanism exists in isolation. In this
session, we'll build a multi agent validation system using the Executor → Validator → Critic
pattern where specialized agents cross validate each other's work through structured debate. Using
Strands Agents Swarm orchestration, you'll see how this pattern catches invalid operations, wronga
tool usage, and fabricated responses before they reach users. Based on research showing multi-agent
debate significantly reduces hallucination rates, you'll leave with a working cross validation
architecture applicable to any high stakes AI agent deployment.