Live Demo

AI that actually replies to WhatsApp

See the full stack in action โ€” webhook, AI intent detection, booking confirmation, and review request flow.

๐Ÿ
La Bella Trattoria
Online ยท AI Assistant
Jetmind ยท just now
Hi! Welcome to La Bella Trattoria. How can I help you today?

Conversation Analysis

The AI reads every message, detects intent, and generates contextually appropriate replies in real time.

0
Messages
0
Bookings
0s
Avg reply
๐Ÿ“… Booking ๐Ÿฝ Menu ๐Ÿ• Hours ๐Ÿ“ Directions ๐Ÿ’ฌ General โœ… Confirmed
Current intent
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Waiting for first message...

Connect Make.com in 5 steps

Wire this automation without writing code. Each step configures one module.

1

Create a Make.com scenario

Add a Custom Webhook module as the trigger. Copy the webhook URL โ€” you'll paste it into WhatsApp Business API webhook settings.

2

Set WhatsApp webhook URL

In Meta Business Suite โ†’ WhatsApp โ†’ Webhooks. Paste your Make.com webhook URL. Set verification token to jetmind-demo.

3

Add HTTP module to Make.com

After the webhook, add an HTTP > Make a request module pointing to your Jetmind instance at /api/whatsapp/webhook โ€” or call Claude directly with the message text.

4

Parse AI response & route

Route on intent: if APPOINTMENT_REQUEST, add a booking step. If GENERAL, send the reply text back via the WhatsApp node.

5

Send reply via WhatsApp node

Use the WhatsApp Business > Send Message node. Map data.reply to the message body. Set the To field to the incoming phone_number.

๐Ÿ“ก Webhook endpoint

Webhook URL https://jetmind.polsia.app/api/whatsapp/webhook
Verify token jetmind-demo
Callback URL (WhatsApp) Meta โ†’ Business Suite โ†’ WhatsApp โ†’ Webhooks
Open Make.com โ†—

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