How a Chess Grandmaster Built an Autonomous Business | Nemotron Labs

Vidit Gujrathi, Indian chess grandmaster and Chess Olympiad gold medalist, entered the Nous Research × NVIDIA × Stripe Hermes Agent Accelerated Business Hackathon with a sharp insight: chess engines tell you the best move, but grandmasters are human – they don't always play it. So he built "Kibitz": a human move predictor for live chess broadcasts, using an NVIDIA RTX 5080. Then he handed operations to a Hermes Agent powered by Nemotron. The agent onboards broadcast clients, handles billing, narrates matches, tracks inference costs, and manages its own P&L – without Vidit needing to be involved in the day to day minutiae of the agent. In this session, Vidit walks through how he designed Kibitz end-to-end and structured the Hermes Agent to run a real business autonomously. What you'll learn: How to train a domain-specific prediction model on NVIDIA hardware How to design a Hermes Agent that handles onboarding, billing, and operations end-to-end How Nemotron fits into an agentic pipeline as a narration and reasoning layer How to go from a working model to a self-operating AI business Building with Hermes or Nemotron? Bring your questions, and our chess grandmaster guest will be answering them live.