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Automate customer support & calendar bookings with OpenAI GPT and Google Calendar

Nick SaraevNick Saraev
2903 views
2/3/2026
Official Page

Website AI Agent with Calendar Integration

Categories: AI Agents, Website Integration, Calendar Automation

This workflow creates a complete website AI agent that can be embedded on any website with just a few lines of code. The agent handles customer inquiries, provides business information, and automatically books meetings by checking calendar availability in real-time. Built for simplicity and business practicality, this system proves that effective AI agents don't need to be overcomplicated.

Benefits

  • Universal Website Integration - Works with WordPress, Webflow, Squarespace, custom sites, or any platform that accepts HTML
  • Intelligent Calendar Management - Checks availability and books meetings automatically without double-booking
  • Business-Ready Conversations - Trained with specific business context and maintains professional, helpful interactions
  • Real-Time Functionality - All changes to the N8N workflow are immediately reflected on your live website
  • No Technical Complexity - Simple architecture that prioritizes reliability and consistent outputs over flashy features
  • Customizable Branding - Easy to modify appearance, messages, and behavior to match your brand

How It Works

Embedded Chat Interface:

  • Generates embeddable HTML code that creates a chat widget on any website
  • Provides both hosted and embedded modes for different use cases
  • Handles all communication between website visitors and the AI system

Intelligent Conversation Management:

  • Uses sophisticated system prompts to maintain context about your business
  • Handles common inquiries about services, pricing, and company information
  • Gracefully redirects off-topic conversations back to business matters

Smart Calendar Integration:

  • Connects to Google Calendar to check real-time availability
  • Automatically suggests meeting times based on your schedule
  • Collects all necessary information (name, email, preferred time) before booking

Meeting Booking Process:

  • Validates meeting requests against existing calendar entries
  • Confirms all details with users before creating calendar events
  • Sends automatic invitations with proper timezone handling

Required Setup Configuration

System Message Requirements: Your AI agent needs a comprehensive system message that includes:

  • Business Identity: Company name, services, location, timezone
  • Business Context: What you offer, pricing information, key differentiators
  • Conversation Rules: How to handle inquiries, booking procedures, moderation guidelines
  • Personality Instructions: Tone of voice, response style, conversation length preferences

Example System Message Structure:

You are a helpful, intelligent website chatbot for [Company Name], a [business type]. The current date is [dynamic date]. You are in the [timezone] timezone.

Business Context:

  • We offer [services] with [key benefits]
  • Our pricing is [pricing structure]
  • We work with [target customers]

Your task is answering questions about the business & booking meetings. For meetings: use calendar function to check availability, collect name/email/preferred time, confirm details.

Rules:

  • Keep responses short and conversational
  • Stay focused on business topics
  • Always confirm timezone when discussing meeting times

Google Calendar Setup:

  1. Enable Google Calendar API in Google Cloud Console
  2. Create OAuth2 credentials for N8N
  3. Connect your business calendar in the Google Calendar nodes
  4. Set correct timezone in both nodes to match your business location

Website Integration:

  1. Switch chat trigger to "embedded" mode
  2. Copy the provided CDN embed code
  3. Paste code into your website's HTML (before closing body tag)
  4. Replace webhook URL with your production URL

Business Use Cases

  • Service Businesses - Automate initial consultations and lead qualification
  • Agencies - Handle project inquiries and schedule discovery calls
  • Consultants - Streamline the booking process for potential clients
  • E-commerce - Provide product support and schedule demos
  • Any Business - Replace contact forms with intelligent conversation

Revenue Potential

This system can replace expensive chatbot services that cost $100-500/month. The automated booking feature alone typically increases meeting conversion rates by 40-60% compared to traditional contact forms.

Difficulty Level: Beginner
Estimated Build Time: 15-20 minutes
Monthly Operating Cost: ~$10 (OpenAI API usage)

Watch My 13-Minute Build

Want to see exactly how I built this from scratch? I walk through the complete setup process in real-time, including all the configuration, testing, and website integration.

🎥 See My Complete Build Process: "How to Build a Website AI Agent in 13 Min (Free N8N Template)"

This step-by-step tutorial shows you my exact process for creating business-ready AI agents that actually make money, not just impressive demos.

Set Up Steps

Basic Agent Configuration:

  • Create new N8N workflow with AI Agent node
  • Connect OpenAI Chat Model with your API credentials
  • Add Window Buffer Memory for conversation context

System Message Setup:

  • Configure detailed business context and operating instructions
  • Set timezone and personality parameters for consistent responses
  • Define conversation rules and moderation guidelines

Google Calendar Integration:

  • Set up Google Calendar credentials through Google Cloud Console
  • Configure "Get All Events" tool for availability checking
  • Set up "Create Event" tool for automated booking

Website Embedding:

  • Switch chat trigger to "embedded" mode for website integration
  • Copy the provided CDN embed code
  • Paste code into your website's HTML with your webhook URL

Customization Options:

  • Modify initial messages and branding in the embed code
  • Adjust colors and styling using CSS variables
  • Configure timezone settings to match your business location

Testing & Optimization:

  • Test complete conversation flows from inquiry to booking
  • Verify calendar integration works correctly with your timezone
  • Optimize system prompts based on actual user interactions

Advanced Features

Extend this system with additional capabilities:

  • CRM Integration - Automatically add leads to your sales pipeline
  • Multi-language Support - Handle conversations in different languages
  • Custom Business Logic - Add specific qualification questions or routing
  • Analytics Tracking - Monitor conversation patterns and conversion rates

Check Out My Channel

For more practical automation systems that generate real business value, check out my YouTube channel where I share the exact strategies I used to scale my automation agency to $72K/month.

AI-Powered Chat Agent with OpenAI and Simple Memory

This n8n workflow demonstrates a basic AI-powered chat agent that leverages OpenAI's chat models and incorporates a simple memory to maintain conversation context. It's designed to respond to chat messages using an AI model.

What it does

  1. Listens for Chat Messages: The workflow is triggered whenever a new chat message is received.
  2. Initializes AI Agent: An AI Agent node is set up to process the incoming chat messages.
  3. Utilizes OpenAI Chat Model: The AI Agent uses an OpenAI Chat Model to generate responses based on the received messages.
  4. Maintains Conversation Context: A "Simple Memory" node is integrated to store previous conversation turns, allowing the AI to understand and respond within the context of the ongoing dialogue.

Prerequisites/Requirements

  • n8n Instance: A running n8n instance.
  • OpenAI API Key: An API key from OpenAI to access their chat models. This will need to be configured as an n8n credential for the "OpenAI Chat Model" node.

Setup/Usage

  1. Import the workflow: Import the provided JSON into your n8n instance.
  2. Configure Credentials:
    • Locate the "OpenAI Chat Model" node.
    • Click on "Credentials" and add your OpenAI API key.
  3. Activate the workflow: Once configured, activate the workflow to start listening for chat messages.
  4. Send a chat message: Interact with the "When chat message received" trigger (e.g., through a connected chat platform if configured, or manually if testing) to see the AI agent in action.

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