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Get chess.com game reviews by email using Google Gemini or other LLMs

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Get chess.com game reviews by email using Google Gemini or other LLMs preview
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1. Workflow Overview

Improve your chess automatically — get a personalized AI coaching report delivered. This workflow connects to the free Chess.com public API, fetches your most recent game, and sends it to an AI lan...

Best for

  • Personal Productivity automation workflows
  • AI Summarization automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.scheduletrigger, n8n-nodes-base.manualtrigger, n8n-nodes-base.stickynote, n8n-nodes-base.code, n8n-nodes-base.httprequest, n8n-nodes-base.splitinbatches, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.agent

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title
Get chess.com game reviews by email using Google Gemini or other LLMs
Workflow name
Get chess.com game reviews by email using Google Gemini or other LLMs

Improve your chess automatically — get a personalized AI coaching report delivered. This workflow connects to the free Chess.com public API, fetches your most recent game, and sends it to an AI language model that acts as your personal chess coach. Within minutes, you receive a structured HTML email covering everything from critical turning points to a personalized training plan.

🔧 How It Works

Trigger — Runs on a daily schedule or manually on demand Config Node — Set your Chess.com username and email address (one-time setup) Fetch Games — Pulls your current month's games from Chess.com's public API (no API key required) Sort & Enrich — Identifies your color, result (Win/Loss/Draw), opponent details, ratings, and ECO opening code AI Analysis — Sends the full PGN and game context to your chosen LLM with a structured coaching prompt Email Report — Delivers a clean HTML coaching report directly to your inbox via Gmail

📊 What's in the Coaching Report

Game Summary — Opening, middlegame, and endgame narrative Critical Moments — 3–5 turning points with explanations of what happened and what should have been played Mistake Categories — Tactical oversights, positional errors, opening issues, endgame technique, time management What Went Well — Genuine strengths recognized and reinforced Five Key Lessons — Specific, memorable takeaways tied to your actual game Training Plan — Targeted drills and study resources based on your weaknesses Closing Motivation — Encouraging next step to keep you improving

⚙️ Setup (Under 5 Minutes)

Import the workflow into n8n Open the Config node and enter your Chess.com username and target email address Connect your Gmail OAuth2 credential Connect your preferred LLM credential (Google Gemini is pre-wired; swap for OpenAI or Claude if preferred) Activate the workflow — done!

🤖 Supported AI Models The quality of the results depends on the model you choose. You can start with the free Gemini models and compare the output with your expected results.

The LLM node is plug-and-play, allowing you to switch between different models with a single click.

Google Gemini 2.5 Flash (pre-configured) OpenAI GPT-4o — Best overall chess analysis quality Anthropic Claude Sonnet — Excellent at explanations and coaching tone Mistral / Llama — Self-hosted options for privacy-conscious users

💡 Stronger models produce better analysis. GPT-4o or Claude Sonnet are recommended for players rated 1000+.

📬 Extend the Workflow After the email step, you can easily add nodes to also send the report via:

Telegram — instant mobile notifications Slack — post to a personal or team channel Notion — build a game review database Google Drive — archive reports as files Discord — share with your chess study group

✅ Requirements

n8n (self-hosted or cloud) A Chess.com account with at least one game this month Gmail OAuth2 credential Any supported LLM API credential (Google Gemini, OpenAI, Anthropic, etc.)

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 - ⏰ Daily Schedule Trigger

Type / Role
n8n-nodes-base.scheduleTrigger - scheduleTrigger
Config choices
Version 1.3

Block 2 - ▶️ Manual Test Run

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

Block 3 - 📖 Workflow Overview

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

Block 4 - Step 1 Note

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

Block 5 - Steps 2-4 Note

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

Block 6 - Step 5 Note

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

Block 7 - Step 6 Note

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

Block 8 - 📖 Workflow Overview1

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

Block 9 - Add Player Context

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

Block 10 - Sort Games (Latest First)

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

Block 11 - Fetch Games from Chess.com

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

Block 12 - Build API URL (Current Month)

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

Block 13 - Process Last Game Only

Type / Role
n8n-nodes-base.splitInBatches - splitInBatches
Config choices
Version 3

Block 14 - Config - Username - Email

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

Block 15 - AI Chess Coach (Analysis)

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 3.1

Block 16 - LLM — Google Gemini

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

Block 17 - Email the Report

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

3. Summary Table

Workflow Get chess.com game reviews by email using Google Gemini or other LLMs
Complexity advanced
Nodes 17
Categories Personal Productivity, AI Summarization
Author Ucartz Online
Published 18 Mar 2026

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/14165/14165.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

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

  4. 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. 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.

Frequently asked questions

What does Get chess.com game reviews by email using Google Gemini or other LLMs do?

Improve your chess automatically — get a personalized AI coaching report delivered. This workflow connects to the free Chess.com public API, fetches your most recent game, and sends it to an AI lan...

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 Personal Productivity, AI Summarization use case.