A new framework uses synthetic personas to align AI agents with real-world Korean demographic data. Researchers at Hugging Face generated detailed profiles to reduce cultural hallucinations and improve regional accuracy. This method allows developers to test agent behavior against specific societal archetypes. It provides a scalable way to validate localized LLM performance before deployment.