Automation library · Data collection

AI-powered customer feedback analyzer with OpenAI and Postgres

Started by another system calling it, and works across Postgres. It hands the judgement calls to OpenAI. 10 steps: a working afternoon to understand properly.

MediumCalls a model: OpenAI

10 stepsMedium: a working afternoon
0Branches: places the flow splits
0Loops or waits
1Service it connects to

The flow

Starts it 1Model 4Service 5

The steps in the order they run, from what starts it.

  1. 1Webhook TriggerWebhookStarts it
  2. 2AI Feedback Analyzer (Spanish)Open AiModel
  3. 3AI Feedback Analyzer (Malay)Open AiModel
  4. 4Multilingual Support AgentOpen AiModel
  5. 5Fetch System MetadataHttp RequestService
  6. 6Send to External AnalyticsHttp RequestService
  7. 7AI Feedback AnalyzerOpen AiModel
  8. 8Backup Data SyncHttp RequestService
  9. 9Query User DatabasePostgresService
  10. 10Log Feedback to FileWrite Binary FileService

How it's built

Starts on
Another system calling it
Steps
10
Size
Medium: a working afternoon
Connects to
Postgres
Model
OpenAI

Questions

What does it need to run?

An n8n account, plus your own Postgres account, and a key for OpenAI. You connect your own accounts after importing it; none are included.

What starts it?

It starts on another system calling it.

Does it use AI?

Yes. It calls OpenAI. Model calls are billed by the provider, not by n8n.

How long does it take to set up?

Plan an afternoon. 10 steps is enough that you should read each one before running it.

How do I import it?

Copy the workflow, open a new workflow in n8n and paste. The steps appear on the canvas, ready for your own accounts.

Before you run it

Nothing here has been tested by us. It is somebody's working automation, read and described from its own steps. Treat the connections it wants as a list of accounts it will touch, and read the 10 steps before you point it at anything that matters.