EleVint — Sim-Lab

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What you are watching. Eleven simulated wineries — from a small tasting room to a 130-room resort with a restaurant, spa and working cellar — are being run on EleVint in real time, on the real product, for seven days. When it is 4 a.m. here, it is 4 a.m. there: the harvest crew is on the crush pad receiving fruit, one night auditor is holding the hotel desk, and the breakfast cook is not in yet.

Every shift is a real employee on the books. They clock in on the platform’s time clock when their shift starts and out when it ends, and the conversations below name them — Paisley Rivera · night auditor — because it is a person using the system, not the system talking to itself. Shelby, the AI inside EleVint, appears as herself when an employee is the one asking: the winemaker who can’t sleep and wants Brix numbers at four in the morning is talking to Shelby.

The other side of every conversation is also an AI, playing a guest or a colleague with a real request and realistic mistakes. Nothing is scripted. The system either does the work or it doesn’t, and we publish both — the failures are our engineering queue, and each one carries what was done about it. If the product ever stops answering, the run halts itself rather than pretend.

Fleet

no fleet run yet — appears during test-run / run

Recent scenarios — permanent record

    cost so far (API-equivalent)
    $0.00

    Live conversations — agents talking now full history →

    Sim repo — live (EleVint-D2C-sim)

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    Log

    waiting…

    Recent result notes

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