Automate GPT-4o fine-tuning with Google Sheets or Airtable data

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Who is this for? Anyone curating before/after text examples in a spreadsheet and wanting a push button path to a fine tuned GPT model—without touching curl. Works with Google Sheets or Airtable . W...

Best for

Engineering automation workflows
Multimodal AI automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.wait, n8n-nodes-base.scheduletrigger, n8n-nodes-base.set, n8n-nodes-base.httprequest, @n8n/n8n-nodes-langchain.openai, n8n-nodes-base.code, n8n-nodes-base.if, n8n-nodes-base.stopanderror

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Matty Reed.

Original n8n.io source

1.1 Workflow description

Title: Automate GPT-4o fine-tuning with Google Sheets or Airtable data
Workflow name: Automate GPT-4o fine-tuning with Google Sheets or Airtable data

Who is this for?

Anyone curating before/after text examples in a spreadsheet and wanting a push-button path to a fine-tuned GPT model—without touching curl. Works with Google Sheets or Airtable.

What problem does it solve?

Manually downloading CSVs, converting to JSONL, uploading, and polling OpenAI is a slog.
This flow automates the whole loop: grab examples flagged Ready, build the JSONL file, start the fine-tune, then log the resulting model ID back to a registry sheet/table for reuse.

How it works

#	Node	Purpose
1	Schedule Trigger	Runs weekly by default (change as needed).
2a	Get Examples from Sheet	Pulls rows where `Ready = TRUE` from your Google Sheet. Uses the JSONL-Template Sheet as the expected column layout.
2b	Get Examples from Airtable (disabled)	Alternate source for Airtable users.
3	Create JSONL File (Code)	Converts each example to chat-format JSONL and splits into `train.jsonl` / `val.jsonl` (80/20).
4	Upload JSONL	Uploads the training file to OpenAI (`purpose: fine-tune`).
5	Begin Fine-Tune	Starts a fine-tune job on `gpt-4o` (editable).
6	Wait → Check Job → IF	Polls every minute until `status = succeeded`.
7a	Write Model to Sheet	Appends the new model ID + meta to your Model Registry sheet.
7b	Write Model to Airtable (disabled)	Equivalent logging step for Airtable.

Setup steps

Import & connect credentials
- Import the JSON flow into n8n.
- Add your OpenAI API key.
- Google Sheets: create an OAuth2 credential and link it to both Sheets nodes.
- Airtable (optional): create a Personal Access Token and attach it to the Airtable nodes.
Copy the template sheet
- Duplicate the JSONL-Template Sheet linked above into your own Drive.
- Required columns (exact names):
  | systemPrompt | userPrompt | assistantResponse | Ready |
- Tick Ready = TRUE for rows you want to include.
Create the registry sheet/table
- Google Sheet (or Airtable table) named Model Registry with columns:
  Model ID, Training Examples, Epochs, Batch Size, Learning Rate, Finished At.
Tweak model & schedule
- Change the base model in Begin Fine-Tune if desired.
- Adjust the Schedule Trigger for daily / on-demand runs.
Test it
- Mark a few examples Ready = TRUE.
- Run the flow manually.
- Check OpenAI for the new fine-tune job and confirm the model ID is logged in your registry.

Resources

n8n Docs – <https://docs.n8n.io/>
OpenAI Fine-Tuning – <https://platform.openai.com/docs/guides/fine-tuning>
Google Sheets API – <https://developers.google.com/sheets/api>
Airtable API – <https://airtable.com/api>

Extending the flow

Webhook trigger – swap the schedule for a webhook to train on demand.
Multi-source merge – enable both Sheets and Airtable nodes to combine datasets.
Auto-deploy – save the new model name to an env-var or Secrets Manager for downstream generation workflows.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Wait

Type / Role: n8n-nodes-base.wait - wait
Config choices: Version 1.1

Block 2 - Schedule Trigger

Type / Role: n8n-nodes-base.scheduleTrigger - scheduleTrigger
Config choices: Version 1.2

Block 3 - Set GPT Model

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 4 - Begin Fine-tune Job

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 5 - Upload JSONL File

Type / Role: @n8n/n8n-nodes-langchain.openAi - openAi
Config choices: Version 1.8

Block 6 - Create JSONL File

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 7 - Check Fine-Tune Job

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 8 - If Succeeded

Type / Role: n8n-nodes-base.if - if
Config choices: Version 2.2

Block 9 - If Failed

Type / Role: n8n-nodes-base.if - if
Config choices: Version 2.2

Block 10 - Error: FAILED

Type / Role: n8n-nodes-base.stopAndError - stopAndError
Config choices: Version 1

Block 11 - Add Fine-Tuned Model to Airtable

Type / Role: n8n-nodes-base.airtable - airtable
Config choices: Version 2.1

Block 12 - Add Fine-Tuned Model to Sheet

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.6

Block 13 - Get Examples from Sheet

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.5

Block 14 - Get Examples from Airtable

Type / Role: n8n-nodes-base.airtable - airtable
Config choices: Version 2.1

Block 15 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 16 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 17 - Sticky Note2

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 18 - Sticky Note3

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 19 - Sticky Note4

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

3. Summary Table

Workflow	Automate GPT-4o fine-tuning with Google Sheets or Airtable data
Complexity	advanced
Nodes	19
Categories	Engineering, Multimodal AI
Author	Matty Reed
Published	10 Jun 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/4853/4853.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Engineering workflows Multimodal AI workflows

Frequently asked questions

What does Automate GPT-4o fine-tuning with Google Sheets or Airtable data do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Engineering, Multimodal AI use case.

Matty Reed

9 workflows

Nodes

n8n-nodes-base.wait n8n-nodes-base.scheduletrigger n8n-nodes-base.set n8n-nodes-base.httprequest @n8n/n8n-nodes-langchain.openai n8n-nodes-base.code n8n-nodes-base.if n8n-nodes-base.stopanderror

Complexity

advanced

Published 10 Jun 2025

Likes 0

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Install path: /data/workflows/4853/4853.json

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Automate GPT-4o fine-tuning with Google Sheets or Airtable data

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Who is this for?

What problem does it solve?

How it works

Setup steps

Resources

Extending the flow

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Wait

Block 2 - Schedule Trigger

Block 3 - Set GPT Model

Block 4 - Begin Fine-tune Job

Block 5 - Upload JSONL File

Block 6 - Create JSONL File

Block 7 - Check Fine-Tune Job

Block 8 - If Succeeded

Block 9 - If Failed

Block 10 - Error: FAILED

Block 11 - Add Fine-Tuned Model to Airtable

Block 12 - Add Fine-Tuned Model to Sheet

Block 13 - Get Examples from Sheet

Block 14 - Get Examples from Airtable

Block 15 - Sticky Note

Block 16 - Sticky Note1

Block 17 - Sticky Note2

Block 18 - Sticky Note3

Block 19 - Sticky Note4

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions