A luxury restaurant run end to end by AI.
Industry
Hospitality
What We Built
Voice ordering, chat, one-tap checkout, owner CMS
Status
Live working product
Stack
React · Gemini Live · Function Tools
Sushi On Fire is a demonstration restaurant created by Agentify AI. The checkout is a simulated Apple Pay sheet that declares itself a demonstration, and every screen below is the actual product as it runs today.
The Problem
Restaurant sites are brochures: pretty, static, and mute. They show the food, then hand the hungry guest a phone number. This one had to take an order three ways, by voice, by chat, and by tap, and make the paying part disappear.
Say a roll out loud and it lands in the cart. Confirm with your face and the kitchen has an order number.
The Solution
One restaurant, three personas: a guest who orders by voice, chat, or tap; an owner who runs the house from a browser; a chef who runs the line from a ticket board.
Flame speaks over Gemini Live and the chatbot types over the same function tools: add to cart, check out, book a table. Every confirmation comes from a real tool result, never a claimed one.
A cart that survives reload and a path from menu to paid in about four taps: a simulated Apple Pay sheet with a Face ID confirm, and no typing anywhere.
A ticket board for the chef, modeled on merchant tablets: what is new, what is on the line, what is ready. One tap advances a ticket, and a chime sounds when an order lands.
“Added 1 Rainbow Roll to your cart. Your total is twenty dollars and fifty-seven cents. Ready to check out?”
Flame, the voice concierge, acting on a spoken order through a real tool call
Inside the Product
Captured from the live product as it runs today: the shipped version sits beside the reimagined one, and every screen is the real interface, not a mockup.
Shipped vs Reimagined · before left, after right
The first build beside the elevation: same restaurant, a different standard of light, type, and appetite.
One Photographic Signature · 25 dishes, generated photography
Every dish reshot by AI under one locked art direction, so the whole menu reads as a single photographer's work.
Cart to Paid, One Tap · simulated Apple Pay, disclosed as a demo
The black button opens the sheet, the sheet asks for a face, and the order number arrives. No forms on the fast path.
Two Agents, One Tool Belt · Gemini Live voice, Gemini chat
Flame hears you; the chatbot reads you. Both act through the same functions against the same cart.
The Films · both loops began as stills
The dining room breathes smoke and ember behind the hero; the blade ignites in the craft section. Both films were generated from the site's own photographs.
The House CMS · every order, every table request
Orders, reservations, menu, and copy all land in an owner admin that lives in the browser.
The Kitchen Line · modeled on merchant tablets
Ticket lanes with daily numbers and urgency clocks: new, on the line, and ready, each order one tap from the next stage.
The Chef's Pocket · live tickets, quantity-first type
The same board stacks into swimlanes on a phone, so the line keeps moving even when the tablet is across the kitchen.
The AI Moment
The whole argument lives in one screen: a guest who never typed a word holds a confirmed order with a real number, a pickup window, and a receipt trail in the owner CMS. Friction is the thing being demonstrated, by its absence.
4
Taps, Menu to Paid
0
Forms on the Fast Path
The Film
A still photograph taught to burn: the craft film behind the brand.
Tap to play · produced by Agentify AI from the site's own stills
The Outcomes
27
Photographs, One Signature
Every dish and atmosphere generated under one locked art direction, so the whole menu reads as a single photographer's work.
3
Personas, One Product
A guest who orders by voice, chat, or tap; an owner with a CMS in the browser; a chef with a live ticket board.
4
Taps, Menu to Paid
The black button opens the sheet, the sheet asks for a face, and the order number arrives. No forms on the fast path.
Say it, tap it, or type it. The kitchen hears all three.
We will walk through Sushi On Fire live, then map what voice, chat, and one-tap ordering look like on your menu, in your house.