Predict F1 Race Winners with OpenAI GPT-4o, Historical Data & Slack Alerts

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Important notice

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

1. Workflow Overview

How It Works Every day at 8 AM, the workflow automatically retrieves the latest F1 data—including driver standings, qualifying results, race schedules, and circuit information. All sources are merg...

Best for

Miscellaneous automation workflows
AI Summarization automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.scheduletrigger, n8n-nodes-base.set, n8n-nodes-base.httprequest, n8n-nodes-base.code, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.httprequesttool, @n8n/n8n-nodes-langchain.vectorstoreinmemory

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Cheng Siong Chin.

Original n8n.io source

1.1 Workflow description

Title: Predict F1 Race Winners with OpenAI GPT-4o, Historical Data & Slack Alerts
Workflow name: Predict F1 Race Winners with OpenAI GPT-4o, Historical Data & Slack Alerts

How It Works

Every day at 8 AM, the workflow automatically retrieves the latest F1 data—including driver standings, qualifying results, race schedules, and circuit information. All sources are merged into a unified dataset, and driver performance metrics are computed using historical trends. An AI agent, enhanced with vectorized race history, evaluates patterns and generates race-winner predictions. When the confidence score exceeds the defined threshold, the system pushes an automated Slack alert and records the full analysis in the database and Google Sheets.

Setup Steps

Update the workflow configuration with: newsApiUrl, weatherApiUrl, historicalYears, and confidenceThreshold.
Connect PostgreSQL using the schema: prediction_date, predicted_winner, confidence_score, prediction_source, data_version, full_analysis.
Provide the Slack channel ID for sending high-confidence alerts.
Specify the Google Sheets document ID and sheet name for prediction logging.
Test connectivity to the Ergast API (no authentication required).

Prerequisites

OpenAI account (GPT-4o access), Slack workspace admin access, PostgreSQL instance, Google Sheets account, n8n instance with LangChain community nodes enabled.

Customization

Extend by adding constructor predictions (modify AI prompt). Integrate Discord or Teams instead of Slack.

Benefits

Saves time by automating data collection, improves accuracy using multiple performance metrics and historical patterns.

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 - Schedule Trigger

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

Block 2 - Workflow Configuration

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

Block 3 - Fetch Current F1 Season Data

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.3

Block 4 - Fetch Driver Standings

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.3

Block 5 - Fetch Constructor Standings

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.3

Block 6 - Merge F1 Data

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

Block 7 - F1 Prediction Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 3

Block 8 - OpenAI Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.2

Block 9 - Real-Time F1 News Tool

Type / Role: n8n-nodes-base.httpRequestTool - httpRequestTool
Config choices: Version 4.3

Block 10 - Weather Data Tool

Type / Role: n8n-nodes-base.httpRequestTool - httpRequestTool
Config choices: Version 4.3

Block 11 - Format Prediction Output

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

Block 12 - Fetch Historical Race Results

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.3

Block 13 - Fetch Qualifying Results

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.3

Block 14 - Fetch Circuit Information

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.3

Block 15 - Historical Data Vector Store

Type / Role: @n8n/n8n-nodes-langchain.vectorStoreInMemory - vectorStoreInMemory
Config choices: Version 1.3

Block 16 - OpenAI Embeddings

Type / Role: @n8n/n8n-nodes-langchain.embeddingsOpenAi - embeddingsOpenAi
Config choices: Version 1.2

Block 17 - Document Loader

Type / Role: @n8n/n8n-nodes-langchain.documentDefaultDataLoader - documentDefaultDataLoader
Config choices: Version 1.1

Block 18 - Recursive Text Splitter

Type / Role: @n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter - textSplitterRecursiveCharacterTextSplitter
Config choices: Version 1

Block 19 - Historical Data Retrieval Tool

Type / Role: @n8n/n8n-nodes-langchain.vectorStoreInMemory - vectorStoreInMemory
Config choices: Version 1.3

Block 20 - Calculate Driver Performance Metrics

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

Block 21 - Check Prediction Confidence

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

Block 22 - Store Prediction in Database

Type / Role: n8n-nodes-base.postgres - postgres
Config choices: Version 2.6

Block 23 - Send High Confidence Alert

Type / Role: n8n-nodes-base.slack - slack
Config choices: Version 2.3

Block 24 - Log to Prediction Tracker

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.7

Showing the first 24 of 38 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow	Predict F1 Race Winners with OpenAI GPT-4o, Historical Data & Slack Alerts
Complexity	advanced
Nodes	38
Categories	Miscellaneous, AI Summarization
Author	Cheng Siong Chin
Published	16 Nov 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/10888/10888.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 Miscellaneous workflows AI Summarization workflows

Frequently asked questions

What does Predict F1 Race Winners with OpenAI GPT-4o, Historical Data & Slack Alerts 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 Miscellaneous, AI Summarization use case.

Cheng Siong Chin

203 workflows

Nodes

n8n-nodes-base.scheduletrigger n8n-nodes-base.set n8n-nodes-base.httprequest n8n-nodes-base.code @n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.lmchatopenai n8n-nodes-base.httprequesttool @n8n/n8n-nodes-langchain.vectorstoreinmemory

Complexity

advanced

Published 16 Nov 2025

Likes 0

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Install path: /data/workflows/10888/10888.json

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Predict F1 Race Winners with OpenAI GPT-4o, Historical Data & Slack Alerts

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

How It Works

Setup Steps

Prerequisites

Customization

Benefits

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Schedule Trigger

Block 2 - Workflow Configuration

Block 3 - Fetch Current F1 Season Data

Block 4 - Fetch Driver Standings

Block 5 - Fetch Constructor Standings

Block 6 - Merge F1 Data

Block 7 - F1 Prediction Agent

Block 8 - OpenAI Chat Model

Block 9 - Real-Time F1 News Tool

Block 10 - Weather Data Tool

Block 11 - Format Prediction Output

Block 12 - Fetch Historical Race Results

Block 13 - Fetch Qualifying Results

Block 14 - Fetch Circuit Information

Block 15 - Historical Data Vector Store

Block 16 - OpenAI Embeddings

Block 17 - Document Loader

Block 18 - Recursive Text Splitter

Block 19 - Historical Data Retrieval Tool

Block 20 - Calculate Driver Performance Metrics

Block 21 - Check Prediction Confidence

Block 22 - Store Prediction in Database

Block 23 - Send High Confidence Alert

Block 24 - Log to Prediction Tracker

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