A 58-step messaging & chatbots automation, triggered by schedule, connecting HTTP / REST API, OpenAI, Airtable, Telegram, SMTP Email, Google Drive, 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 on a set schedule (e.g. daily) on OpenAI, Airtable, Telegram, SMTP Email, handling questions 24/7 so no lead waits.
58
Nodes
6
Integrations
60
Connections
Schedule
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
watch new records· airtableTrigger
source2 Trigger· scheduleTrigger
source1 Trigger· scheduleTrigger
Generate Dedupe key2· code
error airtable· code
env var validation· code
validate env var· code
Lookup dedupeKey2· airtable
Compare Datasets· compareDatasets
alert node6· code
source2· httpRequest
source1· httpRequest
error lookup· code
newKey· airtable
💼 Business analysis
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Business use case
A conversational assistant on HTTP / REST API, OpenAI, Airtable, Telegram, SMTP Email, Google Drive that answers customers 24/7, qualifies enquiries and hands off when needed — cutting first-response time to seconds.
📈
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.