Sim2RL: Realistic Persona Generation for AI Agent Training Testing customer service chatbots is hard - you need realistic users, not scripted scenarios. We built a system that auto-generates authentic customer personas by researching real complaints and interactions. What we built: - Web-powered persona creation (frustrated travelers, confused passengers, etc.) - Full conversation capture with screenshots - RL training data pipeline from simulation results - Live testing on Alaska Airlines chat Demo: Complete flow from "create angry frequent flyer" → realistic conversation → performance analysis → training data for chatbot improvement. This approach could prevent costly AI failures like the Air Canada chatbot lawsuit by ensuring proper testing before deployment.
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