🗄️ Data & StorageSimple

01_Core_Inbound_Handler

A 9-step data & storage automation, triggered by chat, connecting PostgreSQL.

⬇ Download workflow JSON
💡

What this does for your business

In plain terms: this keeps your systems in sync. It moves and updates information across PostgreSQL whenever someone chats with it, so you never copy-paste between tools again.

9
Nodes
1
Integrations
9
Connections
Chat
Trigger

🚀 Deploy this workflow

Deploy this automation in minutes

Log in and we'll walk you through every key step by step, then deploy it for you.

Get started free Log in

🏗️ Architecture diagram

The real node graph exported from n8n — triggers (green), AI nodes (violet), services and logic — laid out as they run.

chatbot textchatTriggerSanitize InputcodeNormalize PayloadsetEmpty Input?ifCall '02_AI_Intent_Cl…executeWorkflowChatchat🐘Check Recent RequestspostgresRate Limit Pass?ifMergemerge

⚙️ How it works

  1. chatbot text · chatTrigger
  2. Normalize Payload · set
  3. Empty Input? · if
  4. Sanitize Input · code
  5. Chat · chat
  6. Check Recent Requests · postgres
  7. Rate Limit Pass? · if
  8. Call '02_AI_Intent_Classifier' · executeWorkflow
  9. Merge · merge

💼 Business analysis

🎯

Business use case

A data pipeline that moves, syncs and transforms records across PostgreSQL — the plumbing that keeps systems of record consistent without manual exports.

📈

Market need

Disconnected tools create silos and manual re-entry. Reliable sync pipelines are foundational infrastructure every scaling company needs.

💰

Market value

Integration/ETL work bills $100–$200/hr bespoke; a reliable pipeline template saves days of engineering per deployment.

🧩 Integrations & stack

🐘PostgreSQL
Node typeschatTrigger, code, set, if, executeWorkflow, chat, postgres, mergeWorkflow IDcsZZSzeWJQaC5Eq9
⬇ Download workflow JSON ← Back to library