This article provides a complete, practical walkthrough of the Splitout Googlecalendar Update 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**:  
   Automated Pre-Meeting Briefs with n8n: A Smart Workflow Using OpenAI, Google Calendar, and Gmail
   
   **Meta Description**:  
   Discover a powerful n8n workflow that automatically generates insightful pre-meeting briefings by researching your calendar attendees using OpenAI's GPT-4 API. Learn how this setup integrates Google Calendar, Gmail, and intelligent web search.
   
   **Keywords**:  
   n8n automation, GPT-4o, OpenAI API, meeting preparation, Google Calendar, n8n workflows, Gmail API, web research automation, AI-powered briefing, automated meeting reports
   
   ---
   
   ## Intelligent Meeting Preparation: How n8n Automates Research Using GPT-4 and Calendar Events
   
   In the age of fast-paced virtual meetings and global remote work, time is everything—especially the time spent preparing for calls. Imagine never having to Google an attendee before a meeting because your AI assistant already sent you a comprehensive briefing. That vision comes to life with this powerful n8n workflow that taps into Google Calendar, OpenAI’s GPT-4o, and the Gmail API to deliver automated, insightful pre-meeting reports right to your inbox.
   
   Let’s break down how this workflow works—one node at a time—and how it leverages third-party APIs to save you hours of manual research each week.
   
   ---
   
   ## Phase 1: Detecting Calendar Events
   
   The automation begins with a **Google Calendar Trigger** that listens for newly created events. Whenever a meeting gets scheduled on your calendar, this trigger fires and extracts the event's attendee list.
   
   Before moving ahead, the workflow uses a filter—appropriately named “Filter Out Myself”—to ensure that you don’t waste resources researching yourself if your email is on the attendee list.
   
   This step includes:
   - Triggering every minute for new calendar events.
   - Extracting attendees from the event metadata.
   - Using the "Split Out Attendees" node to loop through each attendee.
   
   ---
   
   ## Phase 2: Context-Aware Research on Attendees and Companies
   
   Now comes the intelligence.
   
   For each attendee, the workflow uses regex to determine if their email is personal (e.g., Gmail, Yahoo) or belongs to a company domain. If it's a professional domain, the workflow also prepares to gather insights about their organization.
   
   The nodes in play here:
   - **Is Company Email?**: Uses conditional logic to decide whether to research the company.
   - **Set Nodes (Person Prompt & Company Prompt)**: These dynamically create context-aware prompts for OpenAI’s GPT-4o model.
   - **OpenAI API Calls**: Two HTTP request nodes (Research Person and Research Company) send these prompts to GPT-4o via OpenAI’s web_search_preview tool, which can intelligently browse the web for the most up-to-date insights.
   
   The GPT-4o model answers questions like:
   - What does this person do?
   - What might I not know about them?
   - What does this company offer?
   - What's their business model?
   
   The result is a dual profile: One for the person, and one for their affiliated organization.
   
   ---
   
   ## Phase 3: Merging and Reporting
   
   After gathering the research:
   - The workflow uses **“Collect Fields”** and **“Combine All Research”** nodes to aggregate the output.
   - The Markdown node, **“Write HTML”**, formats all the insights into a clean HTML-friendly version of the report.
   - Finally, **“Send Report”** sends this HTML output to your own email via the Gmail API.
   
   The subject line of the email includes the meeting title and date, making it easy to file and search.
   
   ---
   
   ## Your Personalized AI Research Assistant
   
   But what makes this workflow truly special is its inclusion of personal context. A configurable “context” field lets you predefine attributes about yourself (e.g., your industry, region), which GPT-4o uses to disambiguate people with similar names or sparse public data. This context is not included in the output, but it dramatically boosts the quality of the results.
   
   ---
   
   ## Real-World Use Cases
   
   This automation is especially valuable for:
   - Freelancers and consultants who meet new clients regularly.
   - Sales professionals looking to personalize pitches.
   - Startup founders engaging with investors or partners.
   - Remote workers with high meeting volume.
   
   ---
   
   ## Summary of Third-Party APIs Used
   
   1. **Google Calendar API**  
      Used to detect newly created calendar events and extract attendee data.
   
   2. **OpenAI GPT-4o (via web_search_preview tool)**  
      Performs smart web searches and summaries about individuals and companies based on email and domain.
   
   3. **Gmail API**  
      Sends the formatted research report to the user’s email inbox.
   
   ---
   
   ## Final Thoughts
   
   By combining low-code automation with cutting-edge AI, this workflow transforms your calendar into a proactive intelligence tool. No more scrambling to research a meeting participant minutes before the call. With n8n, your AI assistant does the heavy lifting—leaving you informed, prepared, and ahead of the curve.
   
   Whether you're a solopreneur or scaling a global team, this workflow will make your meetings smarter—not harder.
   
   💡 Pro-tip: Customize the prompts or tweak the regex logic to tailor it even closer to your business needs.
   
   —
   
   Want to implement this setup? All you need is an n8n instance, connected APIs, and less than an hour to configure. Happy automating!

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.