This article provides a complete, practical walkthrough of the Schedule Slack Automation Scheduled n8n agent. It connects Schedule Trigger, Google Calendar Tool, Slack across approximately 1 node(s). Expect a Intermediate setup in 15-45 minutes. One‑time purchase: €29.

What This Agent Does

This agent orchestrates a reliable automation between Schedule Trigger, Google Calendar Tool, Slack, handling triggers, data enrichment, and delivery with guardrails for errors and rate limits.

It streamlines multi‑step processes that would otherwise require manual exports, spreadsheet cleanup, and repeated API requests. By centralizing logic in n8n, it reduces context switching, lowers error rates, and ensures consistent results across teams.

Typical outcomes include faster lead handoffs, automated notifications, accurate data synchronization, and better visibility via execution logs and optional Slack/Email alerts.

How It Works

The workflow uses standard n8n building blocks like Webhook or Schedule triggers, HTTP Request for API calls, and control nodes (IF, Merge, Set) to validate inputs, branch on conditions, and format outputs. Retries and timeouts improve resilience, while credentials keep secrets safe.

Third‑Party Integrations

• Schedule Trigger
• Google Calendar Tool
• Slack

Import and Use in n8n

1. Open n8n and create a new workflow or collection.
2. Choose Import from File or Paste JSON.
3. Paste the JSON below, then click Import.
4. Show n8n JSON

   Title:  
   Automating Daily Meeting Summaries Using n8n and Google Gemini AI
   
   Meta Description:  
   Discover how to use n8n, Google Calendar, and Google Gemini AI to automatically retrieve, summarize, and post your daily meetings to Slack with minimal effort.
   
   Keywords:  
   n8n workflow, Google Gemini AI, automate meeting summaries, Google Calendar API, Slack integration, AI meeting assistant, daily meeting summary automation, Gemini 1.5 Flash, LangChain, Google Workspace automation
   
   Third-Party APIs Used:  
   
   - Google Calendar API (via Google Calendar node in n8n)
   - Slack API (via Slack node in n8n)
   - Google Gemini (PaLM) API (via LangChain Gemini Chat Model node)
   
   Article:
   
   Streamline Your Daily Meeting Summaries with n8n + Gemini AI
   
   In today's fast-paced work environment, keeping team members aligned and informed is more critical than ever—especially when working remotely or across time zones. To solve the daily hassle of manually summarizing meetings and informing your team in Slack, we’re introducing a powerful n8n automation workflow that leverages Google Gemini AI, Google Calendar, and Slack.
   
   Let’s walk through how this automation works and how it can save time while enhancing team communication.
   
   Overview of the Workflow
   
   At its core, this n8n workflow is designed to run every morning at 9 AM and perform the following actions:
   
   - Automatically retrieve the day’s meeting events from a Google Calendar.
   - Generate a human-readable summary using Google's Gemini AI (via LangChain).
   - Deliver that summary directly into a designated Slack channel.
   
   It’s an elegant and efficient automation that requires no additional memory or complex user interactions—just simple daily execution and communication.
   
   Let’s break down each part of the automation.
   
   Step 1: Daily Scheduling
   
   The workflow begins with the Schedule Trigger node configured to run every day at 9 AM. This ensures your meeting summaries are generated at the start of each workday, giving your team immediate visibility into what’s coming up.
   
   Node Used:  
   - Schedule Trigger (n8n-nodes-base.scheduleTrigger)
   
   Step 2: Gathering Meeting Data
   
   Next, the Calendar AI Agent is kicked into action. This node serves as a LangChain agent that understands natural-language instructions. It’s prompted with the query: “Summarize today’s meetings,” and dynamically generates two key AI variables: startdate and enddate, automatically formatted to reflect the current date.
   
   To fetch the actual event data, the Calendar AI Agent is connected to the Google Calendar node. This node pulls all event data for the current day from a specified Google Calendar account. The integration uses Google Calendar OAuth credentials and offers a flexible configuration to adapt to different calendars and times.
   
   Nodes Used:
   - Calendar AI Agent (@n8n/n8n-nodes-langchain.agent)
   - Google Calendar - Get Events (n8n-nodes-base.googleCalendarTool)
   
   Step 3: Summarizing Meetings with Gemini AI
   
   Once meeting data has been acquired, it is passed through Google’s Gemini 1.5 Flash model—a high-speed, large-language model suited for one-off tasks like summarization. This model is integrated using the LangChain Gemini Chat Model node with the following configuration:
   
   - No memory is assigned to the model since it only handles one interaction per execution.
   - It generates concise, clear summaries based on the event input, including attendee details and timeframes.
   
   Node Used:
   - Google Gemini Chat Model (@n8n/n8n-nodes-langchain.lmChatGoogleGemini)
   
   Step 4: Posting to Slack
   
   The last step is proactive communication. The summarized response is sent directly to a predefined Slack channel using the Slack node in the workflow. The message is formatted to remove markdown formatting artifacts, ensuring clean readability in Slack’s UI.
   
   The node is configured to respect Slack’s markdown formatting, handle channel selection, and use established API credentials already authorized in n8n.
   
   Node Used:
   - Send Response Back to Slack Channel (n8n-nodes-base.slack)
   
   Why This Workflow Is Powerful
   
   - 🔁 Fully Automated: No manual tasks—just schedule and forget.
   - 🧠 AI-Driven: Uses Google Gemini AI for natural summarization.
   - 📅 Context-Aware: Pulls real-time events from Google Calendar.
   - 📣 Real-Time Updates: Posts effective summaries where your team communicates—Slack.
   
   Potential Use Cases
   
   This workflow is perfect for:
   - Project managers who want to keep their teams updated daily.
   - Remote teams that need concise summaries shared across time zones.
   - Executives who want daily insight into their key meetings.
   
   Customizations
   
   The n8n workflow is modular, meaning it can be easily adapted for:
   - Different time zones or schedule times.
   - Support for multiple calendars.
   - Distribution to other platforms like Microsoft Teams or email.
   
   Future enhancements could include:
   - Adding memory to the Gemini model for conversational follow-ups.
   - Integrating with meeting transcription tools like Google Meet or Zoom for even more detailed summaries.
   
   Final Thoughts
   
   This n8n workflow illustrates how AI can be seamlessly integrated into daily operations to reduce overhead, increase transparency, and foster aligned teams.
   
   By marrying Google Calendar, Gemini AI, and Slack with n8n’s robust automation capabilities, you gain a powerful assistant that works around the clock—without ever missing a meeting.
   
   If you’re looking to bring more automation to your team’s workflow, give this a try. With just a few nodes and a well-configured schedule, your productivity gains could be game-changing.

5. Set credentials for each API node (keys, OAuth) in Credentials.
6. Run a test via Execute Workflow. Inspect Run Data, then adjust parameters.
7. Enable the workflow to run on schedule, webhook, or triggers as configured.

Tips: keep secrets in credentials, add retries and timeouts on HTTP nodes, implement error notifications, and paginate large API fetches.

Validation: use IF/Code nodes to sanitize inputs and guard against empty payloads.

Why Automate This with AI Agents

AI‑assisted automations offload repetitive, error‑prone tasks to a predictable workflow. Instead of manual copy‑paste and ad‑hoc scripts, your team gets a governed pipeline with versioned state, auditability, and observable runs.

n8n’s node graph makes data flow transparent while AI‑powered enrichment (classification, extraction, summarization) boosts throughput and consistency. Teams reclaim time, reduce operational costs, and standardize best practices without sacrificing flexibility.

Compared to one‑off integrations, an AI agent is easier to extend: swap APIs, add filters, or bolt on notifications without rewriting everything. You get reliability, control, and a faster path from idea to production.

Best Practices

• Credentials: restrict scopes and rotate tokens regularly.
• Resilience: configure retries, timeouts, and backoff for API nodes.
• Data Quality: validate inputs; normalize fields early to reduce downstream branching.
• Performance: batch records and paginate for large datasets.
• Observability: add failure alerts (Email/Slack) and persistent logs for auditing.
• Security: avoid sensitive data in logs; use environment variables and n8n credentials.

FAQs

Can I swap integrations later? Yes. Replace or add nodes and re‑map fields without rebuilding the whole flow.

How do I monitor failures? Use Execution logs and add notifications on the Error Trigger path.

Does it scale? Use queues, batching, and sub‑workflows to split responsibilities and control load.

Is my data safe? Keep secrets in Credentials, restrict token scopes, and review access logs.