Automation library · Research and reporting

Find the best favicon from multiple sources with OpenAI

Started by an event in a connected app. It calls services over plain HTTP rather than through connectors. It hands the judgement calls to OpenAI. 13 steps: a working afternoon to understand properly.

MediumCalls a model: OpenAI

13 stepsMedium: a working afternoon
0Branches: places the flow splits
0Loops or waits
0Services by connector: it calls them over plain HTTP

The flow

Starts it 1Model 3Logic 6Service 3

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

  1. 1workflow_triggerExecute Workflow triggerStarts it
  2. 2gpt-4o-miniLm Chat Open AiModel
  3. 3set_common_fieldsSetLogic
  4. 4extract_best_iconInformation ExtractorModel
  5. 5googleHttp RequestService
  6. 6logo_devHttp RequestService
  7. 7clearbitHttp RequestService
  8. 8return_final_image_urlCodeLogic
  9. 9mergeMergeLogic
  10. 10filter_errorsFilterLogic
  11. 11filter_mime_typeFilterLogic
  12. 12analyze_each_iconOpen AiModel
  13. 13aggregate_resultsAggregateLogic

How it's built

Starts on
An event in a connected app
Steps
13
Size
Medium: a working afternoon
Connects to
Nothing by connector; it calls services over plain HTTP
Model
OpenAI

Questions

What does it need to run?

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

What starts it?

It starts on an event in a connected app.

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. 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.