Automated email digest from Gmail to Slack with GPT-4o summary

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Important notice

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

1. Workflow Overview

Who’s it for Teams that start their day in Slack and want a concise, automated summary of yesterday’s emails—ops leads, PMs, founders, and anyone handling busy inboxes without writing code. What it...

Best for

Support Chatbot automation workflows
AI Summarization automation workflows
intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.scheduletrigger, n8n-nodes-base.stickynote, n8n-nodes-base.gmail, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenrouter, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.code, n8n-nodes-base.slack

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title: Automated email digest from Gmail to Slack with GPT-4o summary
Workflow name: Automated email digest from Gmail to Slack with GPT-4o summary

Who’s it for

Teams that start their day in Slack and want a concise, automated summary of yesterday’s emails—ops leads, PMs, founders, and anyone handling busy inboxes without writing code.

What it does / How it works

Runs every morning at 08:00 (cron 0 0 8 * * *), fetches all emails received yesterday, and routes the result: if none were found, it posts a polite “no emails” notice; if emails exist, it aggregates them and asks an AI agent to produce a structured digest, then formats and posts to your chosen Slack channel. The flow uses Gmail → If → Aggregate (Item Lists) → AI Agent (OpenRouter model with structured output) → Code (Slack formatter) → Slack. A set of sticky notes on the canvas explains each step and required inputs.

How to set up

Connect Gmail (OAuth2) and keep the default date window (yesterday → today at 00:00).
Connect Slack (OAuth2) and select your target channel.
Add OpenRouter credentials and pick a compact model (e.g., gpt-4o-mini).
Keep the provided structured-output schema and formatter code.
Adjust the schedule/timezone if needed (the fallback message includes an Asia/Tokyo example).
Paste this description into the yellow sticky note at the top of the canvas.

Requirements

Gmail & Slack accounts with appropriate scopes
OpenRouter API key stored in Credentials (no hard-coded keys)
n8n Cloud or self-host with LangChain agent nodes enabled

How to customize the workflow

Narrow Gmail results with label/search filters (e.g., from:, subject:).
Change the digest sections or tone in the AI Agent system prompt.
Swap the model for cost/quality needs and tweak temperature/max tokens.
Localize dates/timezones in the formatter code and Slack messages.
Branch the output to email, Google Docs, or Sheets for archival.

Security & publishing tips

Rename all nodes clearly, do not hardcode API keys, remove real channel IDs/emails before sharing, and group end-user variables in a Set (Fields) node. Keep the sticky notes—they’re mandatory for reviewers.

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 - Sticky Note

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

Block 3 - Gmail - Get Yesterday's Emails

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

Block 4 - Sticky Note1

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

Block 5 - AI Agent - Analyze Emails

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 2

Block 6 - OpenRouter Chat Model

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

Block 7 - Structured Output Parser

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

Block 8 - Sticky Note2

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

Block 9 - Format for Slack

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

Block 10 - Slack - Send Summary

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

Block 11 - Sticky Note3

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

Block 12 - Item Lists

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

Block 13 - If

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

Block 14 - Slack - No Emails

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

3. Summary Table

Workflow	Automated email digest from Gmail to Slack with GPT-4o summary
Complexity	intermediate
Nodes	14
Categories	Support Chatbot, AI Summarization
Author	Yusei Miyakoshi
Published	14 Oct 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/9638/9638.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 Support Chatbot workflows AI Summarization workflows

Frequently asked questions

What does Automated email digest from Gmail to Slack with GPT-4o summary 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 Support Chatbot, AI Summarization use case.

Yusei Miyakoshi

3 workflows

Nodes

n8n-nodes-base.scheduletrigger n8n-nodes-base.stickynote n8n-nodes-base.gmail @n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.lmchatopenrouter @n8n/n8n-nodes-langchain.outputparserstructured n8n-nodes-base.code n8n-nodes-base.slack

Complexity

intermediate

Published 14 Oct 2025

Likes 0

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Install path: /data/workflows/9638/9638.json

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Automated email digest from Gmail to Slack with GPT-4o summary

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Who’s it for

What it does / How it works

How to set up

Requirements

How to customize the workflow

Security & publishing tips

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Schedule Trigger

Block 2 - Sticky Note

Block 3 - Gmail - Get Yesterday's Emails

Block 4 - Sticky Note1

Block 5 - AI Agent - Analyze Emails

Block 6 - OpenRouter Chat Model

Block 7 - Structured Output Parser

Block 8 - Sticky Note2

Block 9 - Format for Slack

Block 10 - Slack - Send Summary

Block 11 - Sticky Note3

Block 12 - Item Lists

Block 13 - If

Block 14 - Slack - No Emails

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