Automation library · Data collection

Generate AI prompts with Gemini

Started by someone opening a chat with it, and works across Airtable. It hands the judgement calls to Gemini. 11 steps: a working afternoon to understand properly.

MediumCalls a model: Gemini

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

The flow

Starts it 1Model 6Logic 3Service 1

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

  1. 1When chat message receivedChat triggerStarts it
  2. 2Google Gemini Chat ModelLm Chat Google GeminiModel
  3. 3Structured Output ParserOutput Parser StructuredModel
  4. 4Google Gemini Chat Model1Lm Chat Google GeminiModel
  5. 5Generate a new promptChain LlmModel
  6. 6Auto-fixing Output ParserOutput Parser AutofixingModel
  7. 7Categorize and name PromptChain LlmModel
  8. 8Edit FieldsSetLogic
  9. 9set prompt fieldsSetLogic
  10. 10add to airtableAirtableService
  11. 11Return resultsSetLogic

How it's built

Starts on
Someone opening a chat with it
Steps
11
Size
Medium: a working afternoon
Connects to
Airtable
Model
Gemini

Questions

What does it need to run?

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

What starts it?

It starts on someone opening a chat with it.

Does it use AI?

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

How long does it take to set up?

Plan an afternoon. 11 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 11 steps before you point it at anything that matters.