A 43-step messaging & chatbots automation, triggered by webhook, whatsapp, chat, connecting Webhook, WhatsApp, HTTP / REST API, OpenAI, Airtable, Facebook / Meta and more, with built-in AI reasoning.
In plain terms: this answers your customers automatically. It uses AI to understand and generate content, so it handles judgement-style work, not just moving data. It replies whenever it receives a request or form submission on WhatsApp, OpenAI, Airtable, Facebook / Meta, handling questions 24/7 so no lead waits.
43
Nodes
9
Integrations
41
Connections
Webhook, WhatsApp, Chat
Trigger
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The real node graph exported from n8n — triggers (green), AI nodes (violet), services and logic — laid out as they run.
⚙️ How it works
Airtable Form Submitted· webhook
WhatsApp· whatsAppTrigger
Facebook Trigger· webhook
Instagram Trigger· webhook
Embeddings OpenAI· embeddingsOpenAi
OpenAI Chat Model1· lmChatOpenAi
Calendar Agent· toolWorkflow
CRM Agent· toolWorkflow
Postgres Chat Memory· memoryPostgresChat
OpenAI Chat Model· lmChatOpenAi
When chat message received· chatTrigger
If· if
Get a record· airtable
Get Lead· airtable
💼 Business analysis
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Business use case
A conversational assistant on Webhook, WhatsApp, HTTP / REST API, OpenAI, Airtable, Facebook / Meta and more that answers customers 24/7, qualifies enquiries and hands off when needed — cutting first-response time to seconds.
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Market need
Customers expect instant replies on the channels they already use. 24/7 automated response lifts conversion and slashes support cost.
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Market value
Chatbot/support-automation products sell for $50–$500/mo per business; this is the engine behind them.