AI Agents · Case study
AI Nutrition Planner on WhatsApp
A WhatsApp AI agent built in n8n that chats with users, remembers the conversation and replies with personalised nutrition plans through Twilio.
- Category
- AI Agents
- Service
- AI Chat & Messaging Agents
- 1,600character WhatsApp limit handled automatically
How the system works
- 01Incoming WhatsApp message arrives on a webhook (POST)
- 02The user’s message is extracted
- 03An AI Agent with an OpenAI chat model and conversation memory writes the reply
- 04The reply is shortened to WhatsApp’s 1,600-character limit
- 05The message is sent back through the Twilio API and the webhook is answered
Inside the build
-
AI Nutrition Planner (WhatsApp Agent Edition)
The service behind this result
AI Chat & Messaging Agents
I deploy AI chat agents across the channels your customers already use. They answer questions accurately from your own knowledge base, capture contact details, qualify intent and offer booking slots, then hand the conversation to your team with full context.
What this kind of build typically includes
- Agent knowledge base built from your offers and FAQs
- Website widget, SMS, WhatsApp, Messenger and Instagram deployment
- Lead capture and qualification into the CRM
- Booking links and human-handoff triggers
