Start with a simple order
Try: "I'd like one smash burger and a side of fries." Confirm the AI reads it back correctly. Notice response latency — typical first-turn response is under a second after you stop talking.
Voice Ordering Demo
Kosher Smash Burger — a simulated demo restaurant. Free. Open 24/7. Built exclusively so restaurant owners can test voice-driven ordering before signing up for their own storefront.
The best way to evaluate voice ordering is to actually use it. Call the number above, speak naturally, and see how the system handles your order — including the edge cases. Below are suggestions for what to try.
Try: "I'd like one smash burger and a side of fries." Confirm the AI reads it back correctly. Notice response latency — typical first-turn response is under a second after you stop talking.
Try: "Make that two smash burgers, one with everything, one with just cheese — and swap the fries for onion rings." See how the system tracks multiple items, modifiers, and substitutions in a single utterance.
Ask for something not on the menu ("a milkshake?"). Interrupt yourself mid-sentence. Change your mind. Talk over the AI. Good voice systems should recover gracefully — poke at where ours does and doesn't.
After your order, pause. The AI may suggest an add-on. Accept, decline, or counter with a modification. This is the difference between a good ordering system and a great one.
Say "that's all" or "I'm done" or simply stop talking. The system should recognize completion, confirm the order, and close the call without requiring a magic keyword.
The demo is free and always open. Try it from different phones. Different times. Try to break it. The goal is for you to build confidence that this works for your customers — not just for the happy path.
The demo runs the same voice stack we'd deploy for your restaurant — Nova Sonic on AWS AgentCore, sub-second response latency, multi-tenant isolation. Your menu, your prompts, your branded greeting, your phone number. Same engine underneath.
No button presses. No "say order now." Just talk like you would to a person.
Menu and prompts respect hashgacha, dietary customs, and meat/dairy separation. The system won't suggest a combination that doesn't fit the establishment.
Every restaurant gets isolated data, branded prompts, dedicated analytics. You're not sharing an AI with your competitor.
First-turn latency typically under 1 second. Tuned for the back-and-forth rhythm of a real phone order.
Enterprise-grade infrastructure. No spinning up servers, no maintaining dependencies. Reliability and security handled.
Pricing scales with successful orders, not call duration. Aligns incentives — the system should be efficient.
After you've called the demo, let us know what you thought — and tell us a bit about your establishment so we can follow up with something relevant. Nothing is required. Share as much or as little as you want.
You can also reach Paul Levy directly on LinkedIn. For serious inquiries, calling the demo first gives you the context to make the conversation concrete.
Connect with Paul Levy on LinkedIn