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Automated WhatsApp group weekly team reports with Gemini AI summarization

JamotJamot
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2/3/2026
FormattingAssistantOpenAIThreadChat
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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.

n8n Workflow: Basic Workflow Structure Example

This n8n workflow demonstrates a fundamental structure for processing data, including conditional logic, looping, and interaction with AI models. While the specific integrations are not fully defined in this JSON, it showcases how to build a robust and modular automation.

What it does

This workflow outlines a generic data processing pipeline. It includes:

  1. Trigger: The workflow can be initiated either by a scheduled event (e.g., daily, weekly) or by being called as a sub-workflow from another n8n workflow.
  2. Conditional Logic: It starts with an If node, suggesting an initial decision point based on incoming data.
  3. Data Preparation: An Edit Fields (Set) node is used to manipulate or prepare data.
  4. Looping: The Loop Over Items (Split in Batches) node indicates that the workflow is designed to process multiple items in batches.
  5. Sub-workflow Execution: It includes an Execute Sub-workflow node, allowing for modularity and reusability of common logic by calling another n8n workflow.
  6. Advanced Conditional Logic: A Switch node provides more complex branching capabilities based on different conditions.
  7. AI Integration: A Basic LLM Chain using a Google Gemini Chat Model suggests the workflow can interact with a large language model for tasks like summarization, generation, or analysis.
  8. Data Aggregation/Splitting: Aggregate and Split Out nodes are present for restructuring data, either combining multiple items or breaking down complex items.
  9. Filtering: A Filter node allows for selective processing of items based on specific criteria.
  10. Custom Code: A Code node enables the execution of custom JavaScript logic for advanced data manipulation or integration.
  11. Webhook Response: The workflow can respond to a webhook, indicating it might be part of an API or event-driven system.
  12. No Operation: A No Operation, do nothing node acts as a placeholder or a path for items that do not require further processing.

Prerequisites/Requirements

  • n8n Instance: A running n8n instance (self-hosted or cloud).
  • Google Gemini API Key: If the Google Gemini Chat Model node is configured to use an external API, you will need an API key for Google Gemini.
  • Credentials for any integrated services: While not explicitly defined, any actual integrations (e.g., Google Sheets, WhatsApp, databases) would require their respective credentials configured in n8n.

Setup/Usage

  1. Import the Workflow:
    • Copy the provided JSON content.
    • In your n8n instance, go to "Workflows" and click "New".
    • Click the "Import from JSON" button and paste the copied JSON.
  2. Configure Trigger:
    • Schedule Trigger (839): Adjust the cron expression or interval to your desired schedule (e.g., weekly, daily).
    • Execute Workflow Trigger (837): If this workflow is intended to be called by another workflow, ensure the calling workflow is configured correctly.
  3. Configure Nodes:
    • If (20), Switch (112), Filter (844): Define the conditions for these nodes based on your specific data and routing requirements.
    • Edit Fields (Set) (38): Customize the fields you want to add, remove, or modify.
    • Loop Over Items (Split in Batches) (39): Adjust the batch size if needed.
    • Execute Sub-workflow (111): Specify the ID of the sub-workflow to be executed and how data should be passed to it.
    • Basic LLM Chain (1123) & Google Gemini Chat Model (1262): Configure the model, prompt, and any other parameters for your AI task. Ensure your Google Gemini credentials are set up in n8n.
    • Aggregate (1236) and Split Out (1239): Define how you want to combine or separate data items.
    • Code (834): Write your custom JavaScript code to perform specific operations.
    • Respond to Webhook (535): If used, configure the response data and headers.
  4. Activate the Workflow: Once configured, activate the workflow in n8n.

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