Interactive demo
Dining room and kitchen: AI waiter and kitchen display
Order in the dining room as you would with a waiter and watch the ticket reach the kitchen. The restaurant, menu, prices, employees and history are made up.
Order in plain language, as you would with a waiter. The agent checks the menu, answers allergen questions and, once you confirm, sends the order to the kitchen, where the display queues it, times it and reads it aloud.
Fictitious restaurant, menu, prices and staffDining room
Virtual waiter · AI
What the waiter knows about the kitchen: Normal load · estimated wait ~12 min · no delay notice
- Waiter: Hello and welcome to Trattoria Ficticia! What would you like? I can help you with the menu and allergens.
Ideas to get started
Kitchen
Kitchen display · no AI
Service crew · Friday dinner · 7 people (2-3-1-1)
Assign each (fictitious) employee to a section. In the pizza oven and on the hot line, one person handles gluten-free dishes, with their own area and utensils.
- Employee 1
- Employee 2
- Employee 3
- Employee 4
- Employee 5
- Employee 6
- Employee 7
- Orders in queue
- 0
- Portions pending
- 0
- Average wait (min)
- 0
Wait by section
- Pizza oven ~12 min
- Hot line ~10 min
- Salads & cold starters ~5 min
- Desserts & wash-up ~3 min
- Gluten-free ~12 min
Normal serviceQueue in order of arrival
Normal loadestimated wait ~12 min
Online platforms: usual time (15 min)
10 tables and 4 fictitious online orders in about 17 min, with the service crew cooking on its own. The clock switches to ×30.
Order queue
No orders yet. When the waiter sends one, it will appear here and be read aloud.
Service analysis
Fictitious historyEight weeks of fictitious services, Tuesday to Sunday, lunch and dinner, generated with the same kitchen simulator. Demand changes with the day and the hour, and the crew changes from one service to the next (sick days, extra hands, people switching sections). Each dish records when it arrives, starts and is ready, its section and how many people were in it.
Your service, live
Dishes that have gone through the kitchen display during this visit, with the same record. They are kept only in your browser and cleared on reload.
No dishes ready yet: order something in the dining room, send the sample order or simulate a peak time.
The dining room uses AI (Claude Haiku 4.5) only to understand and converse; the menu is its only source. The kitchen uses no AI: queue, timers and alerts are fixed logic. Up to 15 messages per conversation. Please do not enter personal data.