This article provides a complete, practical walkthrough of the Splitout Googlecalendar Create Webhook n8n agent. It connects HTTP Request, Webhook 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 HTTP Request, Webhook, 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

• HTTP Request
• Webhook

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 Meeting Summaries and Follow-Ups with AI Using n8n and Google Workspace APIs
   
   Meta Description:  
   Discover how to automate meeting transcription, generate AI-powered summaries, and schedule follow-up actions using n8n with Google Meet, Google Calendar, and OpenAI.
   
   Keywords:  
   workflow automation, n8n, Google Workspace, Google Meet API, Google Calendar API, OpenAI, AI agent, meeting summary, AI meeting notes, calendar automation, LangChain, automate follow-up
   
   Third-party APIs Used:  
   - Google Calendar API (googleCalendarOAuth2Api)  
   - Google Meet Transcript API (via Google OAuth2 HTTP Requests)  
   - Google Drive API (googleDriveOAuth2Api)  
   - OpenAI API (openAiApi)
   
   ---
   
   Article:
   
   # Automating Meeting Summaries and Follow-Ups with AI Using n8n and Google Workspace
   
   In an increasingly remote-first world, effective meetings still demand good documentation and timely follow-up. But let’s be honest—transcribing meetings, summarizing discussions, and scheduling follow-ups are often repetitive tasks that consume valuable time. Fortunately, low-code automation platforms like n8n, when combined with AI and APIs from tools like Google Meet, Google Drive, and Google Calendar, can do the job for us.
   
   In this article, we explore a powerful n8n workflow that automatically retrieves a meeting transcript, processes it through OpenAI for intelligent summarization and action planning, and then autonomously schedules follow-up meetings including invited attendees. Let’s walk through how this automation works and what makes it such a valuable asset for any team.
   
   ---
   
   ## Overview of the Workflow
   
   This n8n workflow orchestrates a sequence of integrated tasks that turn any recorded Google Meet session into organized outputs:
   1. Fetch the calendar event associated with the meeting.
   2. Retrieve the conference record and locate the transcript file.
   3. Download and parse the PDF transcript stored in Google Drive.
   4. Send the extracted text to an OpenAI-powered AI agent for analysis.
   5. Summarize the discussion, list highlights, suggest or extract agreed-upon next steps.
   6. If a follow-up meeting is required, the AI agent triggers the workflow to schedule it automatically.
   7. Email invitations are sent to relevant attendees—all without human intervention.
   
   ---
   
   ## Step-by-Step Breakdown
   
   ### 1. Retrieving the Meeting Transcript
   
   The automation begins by pulling the original meeting details from a specified Google Calendar event using the Google Calendar node. From here, it accesses the conference record from Google Meet via a custom HTTP request node querying Google Meet’s ConferenceRecords API.
   
   This is an advanced step, as Google Meet transcripts are not directly available via a native n8n node. Instead, the HTTP node is configured with a special Google OAuth2 API credential with adequate scopes. It retrieves the transcript's metadata, including where it's stored—typically in Google Drive.
   
   ### 2. Downloading and Reading the Transcript
   
   Once the transcript’s Drive file ID is located, another node (Google Drive) downloads it in PDF format. A PDF extractor node then parses the contents into readable text from which valuable information can be extracted.
   
   ---
   
   ### 3. Getting AI to Do the Heavy Lifting
   
   With the transcript in hand, the AI agent (configured using the LangChain integration and OpenAI’s Functions Agent model) kicks in. Its responsibilities are extensive and include:
   
   - Summarizing the meeting.
   - Attributing key quotes or tasks to individual attendees.
   - Identifying either agreed-upon next steps or recommending them if none are found.
   - Triggering follow-up actions, like scheduling the next meeting.
   
   This smart automation is made possible by giving the AI contextual metadata like meeting date, creator, and attendees—all derived from the initial calendar event fetch. The AI has also been equipped with access to a custom-built "Schedule Meeting" tool in the form of another n8n sub-workflow.
   
   ---
   
   ### 4. Scheduling Follow-Up Meetings
   
   If the AI determines (or the transcript suggests) that a follow-up meeting is needed, it initiates a new process. This involves:
   
   - Routing the request through a "Switch" node that determines which workflow tool to invoke based on action type.
   - Creating a calendar event in Google Calendar with the specified title, time, and description.
   - Automatically splitting out the attendees’ list and looping through them to add each person to the invite using individual calendar update operations.
   
   This modularity allows the AI agent to remain logic-focused while the heavy-lifting of service integration is handled at the workflow tool level.
   
   ---
   
   ## Benefits of the System
   
   - ⏳ Time Saved: No need for a human to review transcripts, summarize the meeting, or schedule follow-ups.
   - 🧠 AI-Powered Intelligence: Highlights and next steps are contextual and relevant thanks to OpenAI’s natural language capabilities.
   - 🔁 Reusability: Each part of the workflow (e.g., transcript extraction, meeting scheduling) can be reused in other automations.
   - 🔒 Secure API Integration: Uses trusted OAuth2 credentials with Google APIs for secure access.
   
   ---
   
   ## Final Thoughts
   
   This n8n workflow is a prime example of how advanced automation isn't just about triggering tasks—it's about orchestrating services and smart agents to act on your behalf. By combining Google Workspace APIs, intelligent document parsing, and OpenAI via LangChain, the entire lifecycle of a meeting—from discussion to dependent actions—is captured and acted upon.
   
   Whether you're a team leader, project manager, or developer looking to boost productivity, automating mundane meeting follow-up work is low-hanging fruit with high ROI.
   
   Want to get started? Set up your calendar credentials, connect your OpenAI API key, and plug this workflow into your team's day-to-day schedule. From calendar chaos to action clarity—your AI assistant has arrived.
   
   —
   
   Need more help getting started? Join the growing [n8n community on Discord](https://discord.com/invite/XPKeKXeB7d) or explore the [official n8n documentation](https://docs.n8n.io) for step-by-step guides!

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.