# Project Tessera

- **Event:** [National Security Hackathon (by Army xTech)](https://cerebralvalley.ai/e/3rd-annual-natsec-hackathon)
- **When:** May 2 at 9:00 AM – May 3 at 4:00 PM (PDT)
- **Where:** Shack15, San Francisco, CA
- **Team:** [Alexandre Carlhammar](https://cerebralvalley.ai/u/acarlham), [Brian Check](https://cerebralvalley.ai/u/briancheck9)
- **GitHub:** https://github.com/b9check/NSA-Hackathon
- **Demo video:** https://docs.google.com/presentation/d/13Hh6MXvV_Mp2NFXyoHzhZDoVp1tqYvjSF3v86Ni0gfs/edit?usp=share_link
- **Gallery:** https://cerebralvalley.ai/e/3rd-annual-natsec-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/3rd-annual-natsec-hackathon/hackathon/gallery/55

Project Tessera is an adversarial decision-making substrate that lets frontier AI models plan, execute, and learn from battle plans without  retraining. A hex-grid simulator with fog-of-war and multi-modal sensor fusion handles the battlespace; Claude Sonnet 4.6 plans every turn via tool-use, surfacing per-unit reasoning the operator can audit. After each game, Claude Haiku 4.5 reads the trace and distills two to four lessons into an append-only memory file that feeds straight back into the next game's context. The same model gets better because its experience compounds. We support human vs AI, AI vs AI, and hot-seat play, with drag-and-drop placement and a probabilistic intel picture you can click into.

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Markdown version of https://cerebralvalley.ai/e/3rd-annual-natsec-hackathon/hackathon/gallery/55. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt