# Mise en Place

- **Event:** [Hospitality 2030: A Rosewood Sand Hill Hackathon](https://cerebralvalley.ai/e/rosewood-hospitality-2030)
- **When:** Sat, May 16 at 9:00 AM – 10:00 PM (PDT)
- **Where:** Rosewood Sand Hill, Menlo Park, CA
- **Team:** [Prannay Hebbar](https://cerebralvalley.ai/u/pran-ker)
- **GitHub:** https://github.com/Pran-Ker/mise-en-place
- **Demo video:** https://github.com/Pran-Ker/mise-en-place/releases/download/v1.0/demo.mp4
- **Gallery:** https://cerebralvalley.ai/e/rosewood-hospitality-2030/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/rosewood-hospitality-2030/hackathon/gallery/61

Mise en Place is the institutional-memory layer for luxury hospitality. When a returning guest is detected at arrival, the staff member's earpiece whispers a role-aware briefing in under a second wines remembered, sensitivities held, complaints averted. The sommelier hears different facts than the GM; a do-not-mention list is honored as a dignity-preserving redaction. Built on Claude for longitudinal multi-source synthesis (PMS, POS, housekeeping logs, incident reports across years and properties) and ElevenLabs for sub-second whisper voice. The wedge: we serve STAFF, not guests directly staff augmentation is the only AI narrative ultra-luxury brands accept. Three textured returning-guest scenarios ship in the demo. Front-of-house turnover in luxury hospitality runs 73% a year; this is the OS layer that finally lets a hotel remember.

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Markdown version of https://cerebralvalley.ai/e/rosewood-hospitality-2030/hackathon/gallery/61. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt