Automated WhatsApp group weekly team reports with Gemini AI summarization

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Important notice

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

1. Workflow Overview

This n8n template automatically summarizes your WhatsApp group activity from the past week and generates a team report. Why use this? Remote teams rely on chat for communication, but important disc...

Best for

Project Management automation workflows
AI Summarization automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.set, n8n-nodes-base.code, n8n-nodes-base.splitout, n8n-nodes-base.aggregate, n8n-nodes-base.filter, n8n-nodes-base.noop, @n8n/n8n-nodes-langchain.lmchatgooglegemini, @n8n/n8n-nodes-langchain.chainllm

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title: Automated WhatsApp group weekly team reports with Gemini AI summarization
Workflow name: Automated WhatsApp group weekly team reports with Gemini AI summarization

This n8n template automatically summarizes your WhatsApp group activity from the past week and generates a team report.

Why use this? Remote teams rely on chat for communication, but important discussions, decisions, and ideas get buried in message threads and forgotten by Monday. This workflow ensures nothing falls through the cracks.

How it works

Runs every Monday at 6am to collect the previous week's group messages
Groups conversations by participant and analyzes message threads
AI summarizes individual member activity into personal reports
Combines all individual reports into one comprehensive team overview
Posts the final report back to your WhatsApp group to kick off the new week

Setup requirements

WhatsApp (whapAround.pro) no need Meta API
Gemini AI (or alternative LLM of choice)

Best practices

Use one workflow per WhatsApp group for focused results
Filter for specific team members if needed
Customize the report tone to match your team culture
Adjust the schedule if weekly reports don't suit your team's pace

Customization ideas

Send reports via email instead of posting to busy groups
Include project metrics alongside message summaries
Connect to knowledge bases or ticket systems for additional context

Perfect for project managers who want to keep distributed teams aligned and ensure important conversations don't get lost in the chat noise.

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 - Simplify Message

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

Block 2 - Group By User

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

Block 3 - Split Out

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

Block 4 - Messages to Items

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

Block 5 - Aggregate

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

Block 6 - Split Out1

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

Block 7 - Aggregate1

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

Block 8 - Simplify Thread Comments

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

Block 9 - Filter

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

Block 10 - Message Ref

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

Block 11 - Split Out2

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

Block 12 - Map Reply UserIds

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

Block 13 - Google Gemini Chat Model

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

Block 14 - Summarise Threads

Type / Role: @n8n/n8n-nodes-langchain.chainLlm - chainLlm
Config choices: Version 1.6

Block 15 - Aggregate2

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

Block 16 - Aggregate Reply Users

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

Block 17 - Reply Users

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

Block 18 - Google Gemini Chat Model1

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

Block 19 - Loop Over Items

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

Block 20 - Aggregate3

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

Block 21 - Aggregate4

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

Block 22 - When Executed by Another Workflow

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

Block 23 - Switch

Type / Role: n8n-nodes-base.switch - switch
Config choices: Version 3.2

Block 24 - Map Users to Messages

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

Showing the first 24 of 47 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow	Automated WhatsApp group weekly team reports with Gemini AI summarization
Complexity	advanced
Nodes	47
Categories	Project Management, AI Summarization
Author	Jamot
Published	27 Jul 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/6528/6528.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 Project Management workflows AI Summarization workflows

Frequently asked questions

What does Automated WhatsApp group weekly team reports with Gemini AI summarization 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 Project Management, AI Summarization use case.

Jamot

3 workflows

Nodes

n8n-nodes-base.set n8n-nodes-base.code n8n-nodes-base.splitout n8n-nodes-base.aggregate n8n-nodes-base.filter n8n-nodes-base.noop @n8n/n8n-nodes-langchain.lmchatgooglegemini @n8n/n8n-nodes-langchain.chainllm

Complexity

advanced

Published 27 Jul 2025

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/6528/6528.json

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Automated WhatsApp group weekly team reports with Gemini AI summarization

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Simplify Message

Block 2 - Group By User

Block 3 - Split Out

Block 4 - Messages to Items

Block 5 - Aggregate

Block 6 - Split Out1

Block 7 - Aggregate1

Block 8 - Simplify Thread Comments

Block 9 - Filter

Block 10 - Message Ref

Block 11 - Split Out2

Block 12 - Map Reply UserIds

Block 13 - Google Gemini Chat Model

Block 14 - Summarise Threads

Block 15 - Aggregate2

Block 16 - Aggregate Reply Users

Block 17 - Reply Users

Block 18 - Google Gemini Chat Model1

Block 19 - Loop Over Items

Block 20 - Aggregate3

Block 21 - Aggregate4

Block 22 - When Executed by Another Workflow

Block 23 - Switch

Block 24 - Map Users to Messages

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