Automation library · Data collection

Generate event speaker recommendations with Claude

Started by another system calling it, and works across Google Sheets. It hands the judgement calls to Claude. 13 steps, 1 branch: a working afternoon to understand properly.

MediumCalls a model: Claude

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

The flow

Starts it 3Model 2Logic 5Service 3

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

  1. 1Webhook TriggerWebhookStarts it
  2. 2Anthropic Chat ModelLm Chat AnthropicModel
  3. 3Parse Voice RequestCodeLogic
  4. 4AI AgentAgentModel
  5. 5Fetch Speakers DataGoogle SheetsService
  6. 6Fetch Audience DataGoogle SheetsService
  7. 7Aggregate All DataCodeLogic
  8. 8Format for Voice ResponseCodeLogic
  9. 9Send Voice Agent ResponseRespond To WebhookStarts it
  10. 10Save to Google SheetsGoogle SheetsService
  11. 11Check for ErrorsIfLogic
  12. 12Format Error ResponseCodeLogic
  13. 13Send Error ResponseRespond To WebhookStarts it

How it's built

Starts on
Another system calling it
Steps
13, with 1 branch
Size
Medium: a working afternoon
Connects to
Google Sheets
Model
Claude

Questions

What does it need to run?

An n8n account, plus your own Google Sheets account, and a key for Claude. 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 Claude. Model calls are billed by the provider, not by n8n.

How long does it take to set up?

Plan an afternoon. 13 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 13 steps before you point it at anything that matters.