This template starts when a client messages you on WhatsApp. ChatGPT collects name, email, service, and preferred time, then Latenode creates the Cal.com booking, appends a Google Sheets row, and replies on WhatsApp with the confirmation. A schedule later reads upcoming rows and sends an SMS reminder with Smsapi. Connect WhatsApp Personal Account, Cal.com, Google Sheets, and Smsapi.
Latenode bills workflow runtime in CPU seconds. The first 10,000 CPU seconds are free each month, then usage follows pay-as-you-go CPU-second pricing. Plug-and-Play (PnP) AI nodes are billed separately—each PnP token is $1 USD, charged pay-as-you-go at vendor cost plus a small processing fee, with no API keys required.
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The scenario starts when a new message arrives on the WhatsApp account you connect.
ChatGPT reads the chat and returns name, email, service, and preferred time. ChatGPT is Latenode AI, so you do not paste an OpenAI key.
JavaScript shapes those fields, Cal.com creates the appointment, and Google Sheets stores the prospect row.
WhatsApp sends the confirmed time back to the client.
On a schedule, Latenode reads sheet rows that start soon and Smsapi texts the client. The row is marked so the reminder is not sent twice.
Add a WhatsApp Personal Account connection. Point the new-message trigger at the chat that receives booking requests.
Add a Cal.com connection and paste your Cal.com API key there. Add Google Sheets and use a sheet with columns for name, email, phone, start time, and SMS sent.
Send the WhatsApp text to ChatGPT to collect booking fields. Map those fields into Cal.com to create the booking, append a Sheets row, and reply on WhatsApp with the confirmed time.
Add an Smsapi connection and paste your Smsapi key there. On a schedule, search the sheet for bookings that start in the next two hours, send the SMS, and mark the row as sent.
FAQ
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