Turn a good idea into a working workflow.
Design a WhatsApp business assistant, ground it in your knowledge, and export an n8n workflow ready for credential setup.
Choose your path
Start with a use case.
Each template creates a real n8n workflow with a different assistant goal.
Shape your automation.
Configure the generated workflow, review the path, then export JSON for n8n.
Workflow details
How it works
Assistant prompt
Action · Role · Task prompt, built from your knowledge studio.
Give your assistant the facts.
This information is embedded in your exported workflow. Only enter information you are comfortable sharing with your AI provider after deployment.
Approved information
Try a sample conversation.
Offline, deterministic preview from your saved facts. It does not call an AI model or WhatsApp.
What this preview checks
Greetings, keyword matches in FAQs and products, and handoff phrases. It cannot reason over your business knowledge like a live AI model.
Inspect before you import.
Generate, validate and download an n8n workflow. You can also inspect an existing JSON file locally.
n8n JSON
Validation
Configure Meta webhook verification, the Cloud API access token, the AI credential, a human handoff destination, and test in your own n8n version.
Ready for the next stage.
Phase 1 runs entirely in your browser. Live integrations belong in n8n or a secure backend.
Credentials stay out of this site
Set Meta and AI credentials in n8n's credential store. Use an n8n environment variable for the Meta verification token. Never paste access tokens into business fields or exported JSON.
Future AI builder
Natural-language workflow creation and provider selection are planned extension points. A secure server component is needed before accepting user API keys or deploying through the n8n REST API.
Draft controls
Your configuration is saved in this browser's local storage.