Workflow Templates

Description: This n8n workflow automates a Discord bot to fetch messages from a specified channel and send AI-generated responses in threads. It ensures smooth message processing and interaction, making it ideal for managing community discussions, customer support, or AI-based engagement. This workflow leverages Redis for memory persistence, ensuring that conversation history is maintained even if the workflow restarts, providing a seamless user experience. How It Works The bot listens for new messages in a specified Discord channel. It sends the messages to an AI model for response generation. The AI-generated reply is posted as a thread under the original message. The bot runs on an Ubuntu server and is managed using PM2 for uptime stability. The Discord bot (Python script) acts as the bridge, capturing messages from Discord and sending them to the n8n webhook. The n8n workflow then processes these messages, interacts with the AI model, and sends the AI's response back to Discord via the bot. Prerequisites to host Bot Sign up on Pella, which is a managed hosting service for Discord Bots. (Easy Setup) A Redis instance for memory persistence. Redis is an in-memory data structure store, used here to store and retrieve conversation history, ensuring that the AI can maintain context across multiple interactions. This is crucial for coherent and continuous conversations. Set Up Steps 1️⃣ Create a Discord Bot Go to the Discord Developer Portal. Click “New Application”, enter a name, and create it. Navigate to Bot > Reset Token, then copy the Bot Token. Enable Privileged Gateway Intents (Presence, Server Members, Message Content). Under OAuth2 > URL Generator, select bot scope and required permissions. Copy the generated URL, open it in a browser, select your server, and click Authorize. 2️⃣ Deploy the Bot on Pella Create a new folder discord-bot and navigate into it: Create and configure an .env file to store your bot token: Copy the code to .env: (You can copy the webhook URL from the n8n workflow) TOKEN=your-bot-token-here WEBHOOK_URL=https://your-domain.tld/webhook/getmessage Create file main.py copy the below code and save it: Copy this Bot script to main.py: import discord import requests import json import os from dotenv import load_dotenv Load environment variables from .env file load_dotenv() TOKEN = os.getenv("TOKEN") WEBHOOK_URL = os.getenv("WEBHOOK_URL") Bot Configuration LISTEN_CHANNELS = ["YOUR_CHANNEL_ID_1", "YOUR_CHANNEL_ID_2"] # Replace with your target channel IDs Intents setup intents = discord.Intents.default() intents.messages = True # Enable message event intents.guilds = True intents.message_content = True # Required to read messages client = discord.Client(intents=intents) @client.event async def on_ready(): print(f'Logged in as {client.user}') @client.event async def on_message(message): if message.author == client.user: return # Ignore bot's own messages if str(message.channel.id) in LISTEN_CHANNELS: try: fetched_message = await message.channel.fetch_message(message.id) # Ensure correct fetching payload = { "channel_id": str(fetched_message.channel.id), # Ensure it's string "chat_message": fetched_message.content, "timestamp": str(fetched_message.created_at), # Ensure proper formatting "message_id": str(fetched_message.id), # Ensure ID is a string "user_id": str(fetched_message.author.id) # Ensure user ID is also string } headers = {'Content-Type': 'application/json'} response = requests.post(WEBHOOK_URL, data=json.dumps(payload), headers=headers) if response.status_code == 200: print(f"Message sent successfully: {payload}") else: print(f"Failed to send message: {response.status_code}, Response: {response.text}") except Exception as e: print(f"Error fetching message: {e}") client.run(TOKEN) Create requirements.txt and copy: discord python-dotenv 3️⃣ Follow the video to set up the bot which will run 24/7 Tutorial - https://www.youtube.com/watch?v=rNnK3XlUtYU Note: Free Plan will expire after 24 hours, so please opt for the Paid Plan in Pella to keep your bot running. 4️⃣ n8n Workflow Configuration The n8n workflow consists of the following nodes: Get Discord Messages (Webhook):** This node acts as the entry point for messages from the Discord bot. It receives the channel_id, chat_message, timestamp, message_id, and user_id from Discord when a new message is posted in the configured channel. Its webhook path is /getmessage and it expects a POST request. Chat Agent (Langchain Agent):** This node processes the incoming Discord message (chat_message). It is configured as a conversational agent, integrating the language model and memory to generate an appropriate response. It also has a prompt to keep the reply concise, under 1800 characters. OpenAI -4o-mini (Langchain Language Model):** This node connects to the OpenAI API and uses the gpt-4o-mini-2024-07-18 model for generating AI responses. It is the core AI component of the workflow. Message History (Redis Chat Memory):** This node manages the conversation history using Redis. It stores and retrieves chat messages, ensuring the Chat Agent maintains context for each user based on their user_id. This is critical for coherent multi-turn conversations. Calculator (Langchain Tool):** This node provides a calculator tool that the AI agent can utilize if a mathematical calculation is required within the conversation. This expands the capabilities of the AI beyond just text generation. Response fromAI (Discord):** This node sends the AI-generated response back to the Discord channel. It uses the Discord Bot API credentials and replies in a thread under the original message (message_id) in the specified channel_id. Sticky Note1, Sticky Note2, Sticky Note3, Sticky Note4, Sticky Note5, Sticky Note:** These are informational nodes within the workflow providing instructions, code snippets for the Discord bot, and setup guidance for the user. These notes guide the user on setting up the .env file, requirements.txt, the Python bot code, and general recommendations for channel configuration and adding tools. 5️⃣ Setting up Redis Choose a Redis Hosting Provider: You can use a cloud provider like Redis Labs, Aiven, or set up your own Redis instance on a VPS. Obtain Redis Connection Details: Once your Redis instance is set up, you will need the host, port, and password (if applicable). Configure n8n Redis Nodes: In your n8n workflow, configure the "Message History" node with your Redis connection details. Ensure the Redis credential ✅ redis-for-n8n is properly set up with your Redis instance details (host, port, password). 6️⃣ Customizing the Template AI Model:** You can easily swap out the "OpenAI -4o-mini" node with any other AI service supported by n8n (e.g., Cohere, Hugging Face) to use a different language model. Ensure the new language model node is connected to the ai_languageModel input of the "Chat Agent" node. Agent Prompt:** Modify the text parameter in the "Chat Agent" node to change the AI's persona, provide specific instructions, or adjust the response length. Additional Tools:** The "Calculator" node is an example of an AI tool. You can add more Langchain tool nodes (e.g., search, data lookup) and connect them to the ai_tool input of the "Chat Agent" node to extend the AI's capabilities. Refer to the "Sticky Note5" in the workflow for a reminder. Channel Filtering:** Adjust the LISTEN_CHANNELS list in the main.py file of your Discord bot to include or exclude specific Discord channel IDs where the bot should listen for messages. Thread Management:** The "Response fromAI" node can be modified to change how threads are created or managed, or to send responses directly to the channel instead of a thread. The current setup links the response to the original message ID (message_reference). 7️⃣ Testing Instructions Start the Discord Bot: Ensure your main.py script is running on Pella. Activate the n8n Workflow: Make sure your n8n workflow is active and listening for webhooks. Send a Message in Discord: Go to one of the LISTEN_CHANNELS in your Discord server and send a message. Verify Response: The bot should capture the message, send it to n8n, receive an AI-generated response, and post it as a thread under your original message. Check Redis: Verify that the conversation history is being stored and updated correctly in your Redis instance. Look for keys related to user IDs. ✅ Now your bot is running in the background! 🚀

An AI-powered email marketing automation workflow that generates personalized marketing emails using data from Google Sheets and delivers them directly to clients. This workflow combines the power of AI content generation with spreadsheet-based campaign management for seamless email marketing automation. What's the Goal? Automatically pull marketing offer details from Google Sheets (Sheet 1) Fetch client information from Google Sheets (Sheet 2) Use AI to generate compelling, personalized marketing content Format emails with professional structure and personalization Send targeted marketing emails directly to clients Enable scalable email marketing campaigns with minimal manual effort By the end, you'll have a fully automated email marketing system that creates and sends personalized campaigns based on your spreadsheet data. Why Does It Matter? Manual email marketing is labor-intensive and lacks personalization at scale. Here's why this workflow is a game changer: Zero Manual Drafting**: AI generates unique content for each recipient Data-Driven Personalization**: Leverages spreadsheet data for targeted messaging Scalable Campaigns**: Handle hundreds of clients with a single workflow execution Consistent Quality**: AI ensures professional, engaging content every time Time Efficiency**: Transform hours of work into minutes of automation Cost-Effective**: Reduce marketing team workload while increasing output Think of it as your intelligent marketing assistant that creates personalized campaigns at enterprise scale. How It Works Here's the step-by-step process behind the automation: Step 1: Track Offer Updates Node**: Track Offer Sheet Updates (Sheet 1) Function**: Monitor Google Sheets for new marketing offers or updates Trigger**: Automatically activates when new data is added to Sheet 1 Step 2: Generate Marketing Content Node**: Generate Marketing Content with AI Function**: Process offer details through AI model (Llama 3.2) Process**: Creates compelling marketing copy based on offer parameters Step 3: Fetch Client Information Node**: Fetch Client List (Sheet 2) Function**: Retrieve client names and email addresses from Sheet 2 Data**: Pulls client_name and client_email for personalization Step 4: Content Personalization Node**: Format Personalized Email Function**: Combine AI-generated content with client-specific data Output**: Creates personalized email for each recipient Step 5: Email Delivery Node**: Send Marketing Email to Client Function**: Deliver personalized emails directly to client inboxes Method**: Uses Gmail integration for professional delivery Google Sheets Structure Sheet 1: Marketing Offer Details | Column | Description | Example | |--------|-------------|---------| | title | Campaign/offer name | "Summer Sale 2024" | | discount | Discount percentage or amount | "25% OFF" | | validity | Offer expiration date | "Valid until July 31st" | | products_included | Items covered by offer | "All summer collection" | | original_price | Pre-discount pricing | "$199.99" | | discounted_price | Final pricing | "$149.99" | | cta | Call-to-action text | "Shop Now" | | bonus | Additional incentives | "Free shipping included" | Sheet 2: Client Information | Column | Description | Example | |--------|-------------|---------| | client_name | Customer's full name | "John Smith" | | client_email | Customer's email address | "john.smith@email.com" | How to Use the Workflow Prerequisites Google Sheets Setup: Create two sheets with the required column structure n8n Account: Access to n8n workflow platform Gmail API: Gmail account with API access configured AI Model Access: Llama 3.2 API credentials Importing the Workflow in n8n Step 1: Obtain the Workflow JSON Download the workflow file or copy the JSON code Ensure you have the complete workflow configuration Step 2: Access n8n Workflow Editor Log in to your n8n instance (Cloud or self-hosted) Navigate to the Workflows section Click "Add Workflow" to create a new workflow Step 3: Import the Workflow Option A: Import from Clipboard Click the three dots (⋯) in the top-right corner Select "Import from Clipboard" Paste the JSON code into the text box Click "Import" to load the workflow Option B: Import from File Click the three dots (⋯) in the top-right corner Select "Import from File" Choose the .json file from your computer Click "Open" to import the workflow Configuration Setup Google Sheets Integration Authenticate Google Sheets: Connect your Google account in n8n Configure Sheet 1: Set spreadsheet ID and range for marketing offers Configure Sheet 2: Set spreadsheet ID and range for client information AI Model Configuration Set API Credentials: Configure Llama 3.2 API key and endpoint Customize Prompts: Adjust AI prompts for your brand voice and style Set Content Parameters: Define content length, tone, and structure Gmail Integration Gmail API Setup: Enable Gmail API in Google Cloud Console OAuth Configuration: Set up OAuth credentials for email sending Sender Configuration: Configure sender name and email address Content Customization Email Templates: Customize email structure and branding Personalization Fields: Map spreadsheet columns to email variables Brand Guidelines: Set company colors, fonts, and messaging tone Workflow Execution Manual Execution Click "Execute Workflow" in the n8n interface Monitor execution progress through each node Review generated content and delivery status Automated Execution Set up triggers based on sheet updates Configure scheduling for regular campaign runs Enable webhook triggers for real-time processing Best Practices Data Management Keep spreadsheet data clean and formatted consistently Regular validation of email addresses in Sheet 2 Update offer details promptly in Sheet 1 Content Quality Review AI-generated content periodically Adjust prompts based on campaign performance Maintain consistent brand voice across campaigns Deliverability Monitor email bounce rates and engagement metrics Maintain clean email lists with valid addresses Follow email marketing best practices and regulations Performance Optimization Batch process large client lists for efficiency Monitor workflow execution times Implement error handling and retry mechanisms Troubleshooting Common Issues Authentication Errors**: Verify API credentials and permissions Sheet Access**: Ensure proper sharing permissions for Google Sheets Email Delivery**: Check Gmail API quotas and sending limits AI Processing**: Monitor API rate limits and response times Error Handling Implement retry logic for failed operations Set up notification systems for workflow failures Maintain backup data sources for critical campaigns Security Considerations Use environment variables for API keys and credentials Implement proper access controls for sensitive data Regular security audits of connected services Compliance with data protection regulations (GDPR, CAN-SPAM) Conclusion This Smart Email Marketing Generator transforms your marketing campaigns from manual, time-consuming tasks into automated, intelligent processes. By leveraging AI and spreadsheet data, you can create personalized, engaging campaigns that scale with your business needs while maintaining professional quality and consistency. The workflow represents a significant advancement in marketing automation, combining the accessibility of spreadsheet-based data management with the power of AI-driven content generation and automated delivery systems.

This workflow creates/updates/deletes a Notion database page when an issue is created/updated/deleted in Jira. Subsequent updates to the issue's title or status in Jira are updated in the Notion database. If you require more fields to send to Notion, this template is easily extendible which will be described in setup. The Notion database will require setup before the workflow can be used. Prerequisites Notion account and Notion credentials. Jira account and Jira credentials. How it works When a new issue is created in Jira, the workflow creates a new page in the Notion database will all the required fields. When the issue's title or status is updated in Jira, the workflow updates the specific Notion database page identified by the "Issue Key" field in Notion. If the status in Jira is set to "Done", the workflow will mark the Notion database page "Done" field as true. When the issue is deleted in Jira, the workflow archives the Notion database page. Setup This workflow requires that you set up a Notion database. To do so, follow the steps below: In Notion, create a new database. Add the following columns to the database: Done (with type "Checkbox") Title (renamed from "Name") Status (with the following options: "To Do", "In Progress", "Done") Link (with type "URL") Issue ID (with type "Number") Issue Key (with type "Text") Add any other fields you require to the database. Your database should look something like this Share the database to n8n. By default, the workflow will fill all the fields provided above, except for any other additional fields you add.

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. ❓ What Problem Does It Solve? Manual transcription and action planning from meeting notes is often error-prone, time-consuming, and inconsistent. Important tasks, decisions, or deadlines can be overlooked or delayed. This workflow solves these pain points by automatically analyzing notes using AI and turning them into actionable, structured data. It drastically reduces follow-up delays, miscommunications, and administrative effort, letting teams focus on execution instead. 💡 Why Use Google Meet Automation? Save Hours of Manual Work:** Automatically transform raw meeting notes into structured tasks and emails without lifting a finger. Ensure Accurate Follow-up:** Never miss important action items or decisions buried in text; everything is extracted and assigned clearly. Improve Team Collaboration:** Instantly distribute meeting summaries and next steps to attendees, keeping everyone aligned. Leverage Advanced AI:** Utilize Google Gemini’s powerful natural language processing tailored specifically for meetings. Fully End-to-End Automated:** From receiving notes to task creation and email dispatch — your post-meeting workflow is completely hands-free. ⚡ Who Is This For? Project Managers:** Streamline task delegation and keep project timelines on track. Team Leads:** Quickly communicate key takeaways and follow-ups to team members. Sales and Account Teams:** Document client meetings efficiently and automate follow-up outreach. Remote Teams:** Ensure clarity and continuity after virtual meetings. Executives:** Get concise summaries and important decision logs automatically. 🔧 What This Workflow Does ⏱ Trigger: Activated via a POST webhook receiving meeting notes, title, attendees, date, and duration. 📎 Step 2: Validates inputs; if missing required fields, sends an error response. 🔍 Step 3: Extracts and formats meeting data into structured variables for processing. 🤖 Step 4: Sends meeting notes to Google Gemini AI for advanced analysis to identify action items, decisions, summaries, follow-ups, and dates. 💌 Step 5: Splits AI responses to create Google Tasks from action items and send personalized follow-up emails via Gmail. 🗂 Step 6: Generates a Google Docs meeting summary document and finally returns a success response with all processed results. 🔐 Setup Instructions Import the provided Google Meet Automation.json file into your n8n instance. use Payload example Set up credentials for: Google OAuth2 API (Google Tasks, Google Docs) Gmail OAuth2 API for sending emails Google Palm API (for Google Gemini AI access) Customize workflow parameters: Webhook URL and access permissions Google Tasks project or folders if applicable Email templates if desired (subject line, branding) Update any API endpoints or credential references to match your account setup. Thoroughly test with sample meeting note payloads to ensure smooth execution. 🧩 Pre-Requirements Active n8n instance (Cloud or Self-hosted) Google Cloud Platform project with: Google Tasks API enabled Google Docs API enabled Gmail API enabled Google Palm API access (Google Gemini AI) Valid OAuth2 credentials configured in n8n for above services API quota and permissions for sending emails, creating docs, and tasks 🛠️ Customize It Further Integrate with calendar apps (Google Calendar, Outlook) to auto-schedule next meetings. Add Slack or Microsoft Teams notifications for real-time alerts. Extend AI prompt for deeper insights like sentiment analysis or risk flags. Customize email templates with branding, signatures, or attachments. Connect task outputs with project management tools like Asana, Trello, or Jira. 📞 Support Made by: khaisa Studio Tag: automation, google meet, meeting notes, AI, google tasks, gmail, google docs Category: Productivity Need a custom? Contact Us

Case Study 📧 Want to collect email subscribers without paying expensive monthly fees? 💰 This workflow creates a free email collection system with built-in email verification to ensure you only collect legitimate email addresses! ✨ Learn more: 📺 Watch the tutorial: 📝 Read the detailed guide What this workflow does 🛠️ Creates a customizable email collection form that can be embedded on your website 🌐 Verifies email addresses using Hunter.io to filter out fake or invalid emails ✅ Stores verified email addresses in SendGrid for your email marketing needs 📊 Completely free solution (except for Hunter.io's 50 free monthly credits) 🆓 Setup ⚙️ Set up a free Hunter.io account for email verification Configure your SendGrid account credentials Customize the email collection form fields Get the embedded form code for your website How to adjust it to your needs 🔧 Add additional form fields beyond just email collection Customize the form's appearance and labels Modify the verification logic based on your requirements Connect to different email marketing platforms instead of SendGrid Add additional automation steps after email verification Benefits 🌟 No monthly subscription fees for email collection 💸 Built-in email verification prevents fake signups 🛡️ Scalable solution that won't lock you into expensive plans 📈 Clean email list with only verified addresses ✨ Simple setup and customization 🎯 This workflow is perfect for bloggers, small businesses, and anyone looking to build an email list without getting locked into expensive email marketing platforms as their subscriber count grows! 🚀 Built by rumjahn

How it works This workflow automates the conversion of various document formats (such as PDF, Word, and PPT) into Markdown. It connects to the MinerU API service, which leverages OCR, formula, and table recognition to produce high-quality output. Users can initiate the process by simply uploading a document through an n8n chat interface. Set up steps Ensure you have a local n8n instance running. Set up and run the MinerU MCP (MinerU Computing Platform) server locally. Import this workflow into your n8n instance. Configure your AI model credentials (e.g., for OpenAI, add your API Key and Base URL). Click the "Write Files from Disk" node and edit the file path to your desired local save location. Click the "MCP Client" node and input your MinerU MCP server address (e.g., http://localhost:8000/sse). Click the "Open Chat" button to upload a file, send a message, and test the workflow.

Instantly Find & Fix What’s Holding Your Page Back You’ve put in the work. Your content is strong. Your design is polished. But… ❌ Your page isn’t ranking where it should. ❌ Your competitors are outranking you—even with weaker content. ❌ You have no idea what’s wrong—or how to fix it. The truth? SEO isn’t just about keywords. Your technical setup, content structure, and on-page elements must work together seamlessly. And if anything is off? Google won’t rank your page. Who Is This For? SaaS Founders & Startups – Get higher rankings & organic traffic that converts. Marketing Teams & Agencies – Audit & optimize pages in seconds. E-commerce & Content Sites – Improve rankings for product pages, blogs, and landing pages. How It Works Paste your URL Get an instant audit + recommendations list Implement changes & watch your rankings jump The workflow scrapes the url you input, gets the htlm source code of the landing page, and sends it to OpenAI AI Agent. The Agent makes a deep analysis, audit the Technical + Content SEO of the page, and provides 10 Recommendations to improve your SEO. Setup Guide You will need OpenAI Credentials with an API Key to run the workflow. The workflow is using the OpenAI-o1 model to deliver the best results. It costs between $0.20/0.30 per run. You can adjust the prompt to your wish in the AI Agent parameters. Once the audit has been completed, it will send an email (don't forget to add your email address here) Below is an example of what you can expect

How it works Weekly triggered Fetches all previous executions of a given workflow Filter for failures and aggregate them into a single report Sends them to a given Telegram chat. Set up steps Create a new N8N api token in the settings panel. Add new N8N credentials in the credentials panel. Add new Telegram credentials in the credentials panel. Select N8N credentials and select the workflow ID in the "Get all previous executions" node. Select Telegram credentials and enter the chat-id in the "Telegram" node.

Turn Gumroad buyers into loyal email subscribers and keep your CRM up‑to‑date. When someone makes a purchase on your Gumroad store, this n8n workflow instantly adds that customer to the right MailerLite group (so your nurture sequence starts on time) and writes the sale details into your Google Sheets CRM. You’ll never copy‑and‑paste orders again, and every buyer begins receiving your follow‑up emails the moment they purchase. Requirements A Gumroad account with a product listed A MailerLite account. A MailerLite group of subscribers created Enabled APIs and credentials for Google Sheets, MailerLite and Gumroad How it works Listen for a new sale on Gumroad** The Gumroad trigger watches your account 24/7 and fires as soon as a sale is completed. Create (or update) the subscriber in MailerLite** Their name and email are added to MailerLite. If they already exist, the workflow simply updates their profile. Assign the subscriber to your Gumroad group** Grouping lets your MailerLite automation send the right onboarding or upsell sequence without manual tagging. Log the purchase in Google Sheets** The buyer’s contact details, product, price, and date are appended as a new row in your CRM sheet. Set‑up steps Create an application in Gumroad. Copy the access token, you’ll paste it into the Gumroad trigger node. Grab your MailerLite API key MailerLite dashboard → Integrations → API. Paste it into the two MailerLite nodes. Prepare a Google Sheets spreadsheet Add column headers like Name, Email, Product, Price, Date. Open the template in n8n Cloud or Desktop In the Gumroad node, paste your token. In the MailerLite nodes, paste your API keys and replace the group id. In the Google Sheets node, replace the credentials, pick your spreadsheet and worksheet. Get in touch with us Feel free to contact us at 1 Node. Get instant access to a library of free resources we created.

🤖 AI Customer Support Agent with Google Docs Knowledge (Telegram + OpenAI) This no-code workflow turns your Telegram bot into an intelligent, always-on AI support agent that references your business documentation in Google Docs to respond to customer queries—instantly and accurately. Watch full step-by-step video tutorial of the build here: https://youtu.be/Mlv7CjGO7wI 🔧 How it works: Telegram Trigger – Captures incoming messages from users on your Telegram bot Langchain AI Agent (OpenAI GPT) – Interprets the message and uses RAG (retrieval-augmented generation) techniques to craft an answer Google Docs Tool – Connects to and retrieves context from your specified Google Doc (e.g. FAQ, SOPs, policies) Memory Buffer – Keeps track of recent chat history for more human-like conversations Telegram Reply Node – Sends the AI-generated response back to the user 💡 Use Cases: E-commerce customer service SaaS product onboarding Internal helpdesk bot for teams WhatsApp-style support for digital businesses 🧠 What makes this powerful: Supports complex questions by referencing a live Google Doc knowledge base Works in plain conversational language (no buttons or forms needed) Runs 24/7 with zero code Easily extendable to Slack, WhatsApp, or email support 🛠️ Tools used: Telegram Node (trigger + send) Langchain Agent with OpenAI GPT Google Docs Tool Memory Buffer Sticky Notes for easy understanding

This workflow automatically syncs Shopify orders with your Zendesk contacts. Using this workflow, the Shopify email ID, phone number ID and order information will be added or updated to Zendesk contacts. Prerequisites Shopify account and Shopify credentials Zendesk account and Zendesk credentials How it works Shopify Trigger starts the workflow whenever a customer`s data is updated. Zendesk Node then searches the contact by email address. Set node keeps only the UserId and email of the contact. Merge by Key node combines the Shopify and Zendesk data. If node splits the workflow conditionally, check if the contact already exists or not. If the user exists, Zendesk node updates its contact data. If the user does not exist, Zendesk node creates a new contact.

AI-Powered Product Assistant for E-commerce Transform your online store customer service with an intelligent AI assistant that automatically processes customer inquiries, searches your product database, and provides personalized responses about product availability, pricing, and specifications. Perfect for shoe stores, fashion retailers, and any business with extensive product catalogs - this workflow eliminates manual customer service while increasing response speed and accuracy. How it works Customer sends product inquiry via webhook (Instagram DM, website chat, or messaging app) AI extracts key product details (brand, model, size, color) from natural language text System searches your Google Sheets product database with smart filtering AI generates friendly, personalized response with availability, pricing, and stock information Automatic response sent back to customer with product details or alternatives Screenshots: Customer inquiry: "Do you have Nike Air Max 40 size?" AI response: "Nike Air Max 90, size 40 - in stock 3 pieces, price 120$" Set up steps Prepare your product database - Create Google Sheets with columns: Brand, Model, Size, Color, Price, Quantity Configure AI settings - Connect OpenAI API for natural language processing Set up webhook endpoint - Configure trigger for your messaging platform (Instagram, Telegram, website chat) Test with sample inquiries - Verify AI correctly parses requests and finds products Deploy and monitor - Launch your automated assistant and track performance Time investment: 30-45 minutes setup, works immediately with any product catalog up to 1000+ items.