A 57-step messaging & chatbots automation, triggered by chat, sub-workflow, connecting HTTP / REST API, Google Docs, OpenAI (LLM), X / Twitter, Facebook / Meta, LinkedIn 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 someone chats with it on Google Docs, OpenAI (LLM), X / Twitter, Facebook / Meta, handling questions 24/7 so no lead waits.
57
Nodes
9
Integrations
60
Connections
Chat, Sub-workflow
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
When chat message received· chatTrigger
X-Twiter· toolWorkflow
Instagram· toolWorkflow
Window Buffer Memory· memoryBufferWindow
When Executed by Another Workflow· executeWorkflowTrigger
Facebook· toolWorkflow
LinkedIn· toolWorkflow
Short· toolWorkflow
YouTube Short· toolWorkflow
gpt-40-mini· lmChatOpenAi
gpt-40-mini1· lmChatOpenAi
gpt-4o-mini· lmChatOpenAi
SerpAPI· toolSerpApi
gpt-4o· lmChatOpenAi
💼 Business analysis
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Business use case
A conversational assistant on HTTP / REST API, Google Docs, OpenAI (LLM), X / Twitter, Facebook / Meta, LinkedIn 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.