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 Advanced setup in 1-2 hours. One‑time purchase: €69.

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:
   How to Build an AI-Powered Meeting Assistant with n8n, OpenAI, and WhatsApp
   
   Meta Description:
   Learn how to automate personalized pre-meeting briefings using n8n. This workflow integrates Gmail, Google Calendar, OpenAI, LinkedIn, and WhatsApp to help busy professionals stay informed and prepared.
   
   Keywords:
   n8n workflow, AI meeting assistant, OpenAI GPT-4, WhatsApp automation, Gmail integration, Google Calendar API, LinkedIn scraping, Apify, pre-meeting reminders, generative AI
   
   Third-Party APIs and Services Used:
   
   - Gmail API (via n8n Gmail node)
   - Google Calendar API (via n8n Google Calendar node)
   - OpenAI GPT-4o API (via LangChain n8n nodes)
   - WhatsApp Business Cloud API (via n8n WhatsApp node)
   - Apify Web Scraper API (for LinkedIn scraping)
   
   Article:
   
   —
   
   Build an AI Meeting Assistant with n8n and OpenAI: Automated Pre-Meeting Briefs Sent via WhatsApp
   
   In the fast-paced world of modern work, staying prepared for every meeting can be a challenge—especially when you're juggling multiple conversations, clients, or collaborators. Wouldn't it be great if you had a personal assistant that could sift through your calendar, emails, and even LinkedIn, all to send you a brief notification before every meeting?
   
   Thanks to low-code automation platform n8n, this dream is now a reality. In this article, we’ll explore an advanced but user-friendly n8n workflow template that acts as an AI-powered meeting assistant, automatically sending detailed pre-meeting notifications to your WhatsApp inbox using several APIs, AI tools, and external data sources.
   
   Workflow Overview
   
   This powerful automation checks your schedule every hour for upcoming meetings and performs the following tasks:
   
   1. Searches your Gmail inbox for recent correspondence with attendees.
   2. Scrapes LinkedIn profiles for recent activity using Apify.
   3. Uses GPT-4 to summarize this context-rich data.
   4. Crafts a concise notification message filled with talking points and reminders.
   5. Sends the message directly to your WhatsApp via the WhatsApp Business API.
   
   Let’s break it down.
   
   Step 1: Scheduled Meeting Lookup via Google Calendar
   Every hour, the workflow’s Schedule Trigger activates and pulls your next hour’s events from Google Calendar. It looks at calendars you specify (e.g., “n8n-events”) and fetches metadata such as summary, description, attendees, and hangout links.
   
   Step 2: Extract Attendee Info Using AI
   The AI-powered “Information Extractor” node (Langchain’s @n8n/n8n-nodes-langchain.informationExtractor) processes the calendar data to identify relevant attendees, excluding the organizer. It captures their names, email addresses, and LinkedIn profile URLs automatically, saving you the hassle of manual CRM integration.
   
   Step 3: Fetch Context from Email and LinkedIn
   
   Substep 3.1: Email Correspondence Recap
   If an attendee has a valid email, n8n filters your Gmail inbox using their address to fetch the latest thread. If found, the entire email is parsed and summarized using OpenAI GPT-4 to extract essential details like agreements, decisions, or ongoing conversations.
   
   Substep 3.2: LinkedIn Profile and Activity Summary
   For attendees with LinkedIn URLs, Apify’s Web Scraper is triggered. Using a login cookie, it renders the full profile, including the “About” section and recent posts. HTML nodes extract this data, which is then summarized using another GPT-4 instance tailored to highlight achievements and updates valuable for small talk or business discourse.
   
   Step 4: Generate the Notification with GPT-4
   Now equipped with context from Calendar, Email, and LinkedIn, a third GPT-4 model assembles a compact yet impactful summary. Using language similar to how a virtual assistant might text you, the flow generates a WhatsApp-ready message that includes:
   
   - Meeting title and time
   - Attendee names and links
   - Last discussed topics or email conclusions
   - Recent LinkedIn milestones or noteworthy activities
   
   Step 5: Send WhatsApp Notification
   The final step uses the WhatsApp Business Cloud API via n8n’s built-in node to deliver the message. You can modify the channel to suit your ecosystem—Slack, Twilio, Telegram, and more are just as easy to set up.
   
   Why This Workflow Matters
   
   This AI-first workflow is more than just a meeting helper—it embodies how modern automation should work:
   
   - Context-aware: Summarizes content across platforms
   - Personalized: Highlights only what’s relevant to each meeting
   - Efficient: Requires zero manual intervention after setup
   - Scalable: Works whether you have 1 or 10 daily meetings
   - Flexible: Swap APIs or LLMs as needed (e.g. Claude, Gemini)
   
   Use Cases:
   - Sales professionals brushing up before calls
   - Executive assistants who manage busy calendars
   - Recruiters meeting with candidates and clients
   - Consultants juggling multiple stakeholders
   
   Privacy and Security Note:
   Be cautious with LinkedIn scraping. While powerful, unauthorized scraping can violate LinkedIn’s Terms of Service. Always use proper credentials and proxies, and never scrape high volumes from personal accounts.
   
   Final Thoughts
   This workflow showcases n8n’s power not only as an automation platform but as a tool for building intelligent workflows powered by LLMs, human-like text generation, real-time data parsing, and robust integration. Whether you’re preparing for high-stakes pitches or simply want to make casual meetings more productive, this automation ensures you never step into a meeting unprepared again.
   
   Give it a try, and you’ll wonder how you ever worked without it.
   
   —
   
   Need help customizing the workflow?
   Join the n8n community:
   - Forum: https://community.n8n.io
   - Discord: https://discord.com/invite/XPKeKXeB7d
   
   Automate smartly. Arrive confidently.

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.