AgentRose — an AI concierge that turns guest text messages into completed resort services, with humans supervising only the edge cases. Built for Rosewood Sand Hill, a 121-room luxury resort in Menlo Park, AgentRose runs the full guest-request loop end to end: - Proposes — reaches out to a guest over text with a specific offer (a dinner reservation, a spa slot, a car, a fix) and tracks it as a live, time-limited offer. - Understands the reply — reads the guest's response, decides whether it's a yes, a no, or a question, and answers in the resort's voice. - Closes the loop — on a yes, the service is booked and confirmed automatically; on anything unclear, it hands off to staff rather than guessing. AgentRose decides, but a guardrail keeps it from ever booking on an ambiguous reply. - Learns the guest — pulls preferences, allergies, party details, and milestones out of conversations into a single Guest 360 profile, so every future interaction is more personalized. This sits on top of a four-stream service operation — Food (restaurant, bar, in-room dining), Spa, Concierge (experiences & transport), and IT — each with its own work queue, SLA tracking, cross-team handoffs, and role-based access. The net effect: guests interact entirely by text, AgentRose handles the negotiation and confirmation, and staff focus on exceptions instead of data entry. A staff-facing AI copilot also drafts suggested replies grounded in the resort's knowledge base. Technical footing: a FastAPI/Postgres backend with a Next.js/TypeScript frontend, Claude powering the agent and copilot, and SMS delivery via Sendblue. Every AI feature degrades gracefully — it runs on deterministic logic with no API key and upgrades to Claude automatically when one is present, so the product always demos and never hard-fails.
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