Workflow Templates

Who’s it for This template is perfect for content creators, AI enthusiasts, marketers, and developers who want to automate the generation of cinematic videos using Google Vertex AI’s Veo 3 model. It’s also ideal for anyone experimenting with generative AI for video using n8n. What it does This workflow: Accepts a text prompt and a GCP access token via form. Sends the prompt to the Veo 3 (preview model) using Vertex AI’s predictLongRunning endpoint. Waits for the video rendering to complete. Fetches the final result and converts the base64-encoded video to a file. Uploads the resulting .mp4 to your Google Drive. Output How to set up Enable Vertex AI API in your GCP project: https://console.cloud.google.com/marketplace/product/google/aiplatform.googleapis.com Authenticate with GCP using Cloud Shell or local terminal: gcloud auth login gcloud config set project [YOUR_PROJECT_ID] gcloud auth application-default set-quota-project [YOUR_PROJECT_ID] gcloud auth print-access-token Copy the token and use it in the form when running the workflow. ⚠️ This token lasts ~1 hour. Regenerate as needed. Connect your Google Drive OAuth2 credentials to allow file upload. Import this workflow into n8n and execute it via form trigger. Requirements n8n (v1.94.1+)** A Google Cloud project with: Vertex AI API enabled Billing enabled A way to get Access Token A Google Drive OAuth2 credential connected to n8n How to customize the workflow You can modify the in the HTTP node to match your use case. Replace the Google Drive upload node with alternatives like Dropbox, S3, or YouTube upload. Extend the workflow to add subtitles, audio dubbing, or LINE/Slack alerts. Step-by-step for each major node: Prompt Input → Vertex Predict → Wait → Fetch Result → Convert to File → Upload Best Practices Followed No hardcoded API tokens Secure: GCP token is input via form, not stored in workflow All nodes are renamed with clear purpose All editable config grouped in Set node External References GCP Veo API Docs: https://cloud.google.com/vertex-ai/docs/generative-ai/video/overview Disclaimer This workflow uses official Google Cloud APIs and requires a valid GCP project. Access token should be generated securely using gcloud CLI. Do not embed tokens in the workflow itself. Notes on GCP Access Token To use the Vertex AI API in n8n securely: Run the following on your local machine or GCP Cloud Shell: gcloud auth login gcloud config set project your-project-id gcloud auth print-access-token Paste the token in the workflow form field when submitting. Do not hardcode the token into HTTP nodes or Set nodes — input it each time or use a secure credential vault.

This n8n workflow automates the transformation of press releases into polished articles. It converts the content of an email and its attachments (PDF or Word documents) into an AI-written article/blog post. What does it do? This workflow assists editors and journalists in managing incoming press-releases from governments, companies, NGOs, or individuals. The result is a draft article that can easily be reviewed by the editor, who receives it in a reply email containing both the original input and the output, plus an AI-generated self-assessment. This self-assessment represents an additional feedback loop where the AI compares the input with the output to evaluate the quality and accuracy of its transformation. How does it work? Triggered by incoming emails in Google, it first filters attachments, retaining only Word and PDF files while removing other formats like JPGs. The workflow then follows one of three paths: If no attachments remain, it processes the inline email message directly. For PDF attachments, it uses an extractor to obtain the document content. For Word attachments, it extracts the text content by a http request. In each case, the extracted content is then passed to an AI agent that converts the press release into a well-structured article according to predefined prompts. A separate AI evaluation step provides a self-assessment by comparing the output with the original input to ensure quality and accuracy. Finally, the workflow generates a reply email to the sender containing three components: the original input, the AI-generated article, and the self-assessment. This streamlined process helps editors and journalists efficiently manage incoming press releases, delivering draft articles that require minimal additional editing." How to set it up 1. Configure Gmail Connection: Create or use an existing Gmail address Connect it through the n8n credentials manager Configure polling frequency according to your needs Set the trigger event to "Message Received" Optional: Filter incoming emails by specifying authorized senders Enable the "Download Attachments" option 2. Set Up AI Integration: Create an OpenAI account if you don't have one Create a new AI assistant or use an existing one Customize the assistant with specific instructions, style guidelines, or response templates Configure your API credentials in n8n to enable the connection 3. Configure Google Drive Integration: Connect your Google Drive credentials in n8n Set the operation mode to "Upload" Configure the input data field name as "data" -Set the file naming format to dynamic: {{ $json.fileName }} 4. Configure HTTP Request Node: Set request method to "POST" Enter the appropriate Google API endpoint URL Include all required authorization headers Structure the request body according to API specifications Ensure proper error handling for API responses 5. Configure HTTP Request Node 2: Set request method to "GET" Enter the appropriate Google API endpoint URL Include all required authorization headers Configure query parameters as needed Implement response validation and error handling 6. Configure Self-Assessment Node: Set operation to "Message a Model" Select an appropriate AI model (e.g., GPT-4, Claude) Configure the following prompt in the Message field: Please analyze and compare the following input and output content: (for example) Original Input: {{ $('HTTP Request3').item.json.data }} {{ $('Gmail Trigger').item.json.text }} Generated Output: {{ $json.output }} Provide a detailed self-assessment that evaluates: Content accuracy and completeness Structure and readability improvements Tone and style appropriateness Any information that may have been omitted or misrepresented Overall quality of the transformation 7. Configure Reply Email Node: Set operation to "Send" and select your Gmail account Configure the "To" field to respond to the original sender: {{ $('Gmail Trigger').item.json.from }} Set an appropriate subject line: RE: {{ $('Gmail Trigger').item.json.subject }} Structure the email body with clear sections using the following template: handlebars EDITED ARTICLE* {{ $('AI Article Writer 2').item.json.output }} SELF-ASSESSMENT* Rating: 1 (poor) to 5 (excellent) {{ $json.message.content }} ORIGINAL MESSAGE* {{ $('Gmail Trigger').item.json.text }} ATTACHMENT CONTENT* {{ $('HTTP Request3').item.json.data }} Note: Adjust the template fields according to the input source (PDF, Word document, or inline message). For inline messages, you may not need the "ATTACHMENT CONTENT" section.

Vacation Planning Agent - n8n Workflow Overview This n8n workflow creates an intelligent vacation planning chatbot that helps users find and book the perfect hotel accommodations. The agent acts as a professional travel consultant, systematically gathering travel requirements and providing personalized hotel recommendations through an interactive chat interface. Core Functionality The workflow provides a conversational AI agent that: Conducts structured information gathering** through natural conversation Automatically searches for hotels** using real-time data from Google Hotels Provides personalized recommendations** with detailed hotel information Maintains conversation context** throughout the planning process Delivers professional travel consultation** in a friendly, accessible format User Experience Flow Initial Interaction Users are greeted with a warm welcome message in German: "Hallo! Ich helfe dir, deinen perfekten Urlaub zu planen. Bitte beanworte mir die folgenden Fragen :)" Information Collection Process The agent systematically collects essential travel details: Destination - City and country/state Travel Dates - Check-in and check-out dates Guest Count - Number of travelers Room Requirements - Number of rooms needed Budget Preferences - Optional price range Automated Hotel Search Once core information is gathered, the agent automatically searches for available accommodations without requiring user permission. Recommendation Delivery Results are presented in a structured format including: Hotel names and star ratings Pricing information Location details Guest ratings and reviews Key amenities and highlights Direct booking links Required Integrations OpenAI API Purpose**: Powers the conversational AI agent Model**: GPT-4o-mini for cost-effective, intelligent responses Requirement**: Valid OpenAI API credentials SerpAPI (Google Hotels) Purpose**: Real-time hotel search and pricing data Service**: Google Hotels search engine integration Requirement**: Active SerpAPI account and API key Key Features Intelligent Conversation Management Maintains conversation context with 20-message memory buffer Handles edge cases like no available hotels or unclear responses Provides alternative suggestions when initial searches yield limited results Flexible Search Parameters Supports location-based searches worldwide Accommodates date range specifications Handles guest count and room quantity requirements Optional budget filtering (min/max price ranges) Currency customization support Professional Presentation Structured hotel recommendation format Clear pricing and availability information Contextual explanations for recommendations Additional destination insights when relevant Use Cases This workflow is ideal for: Travel websites** seeking to add AI-powered hotel booking assistance Travel agencies** wanting to automate initial consultation processes Hospitality businesses** providing customer service automation Personal travel planning** applications Customer support** for travel-related inquiries User Benefits Time-saving**: Eliminates manual hotel research Personalized results**: Tailored recommendations based on specific needs Real-time data**: Current pricing and availability information Professional guidance**: Expert-level travel consultation Seamless experience**: Natural conversation flow without complex forms Technical Requirements Essential Services n8n workflow automation platform OpenAI API access (GPT-4o-mini model) SerpAPI account with Google Hotels access Configuration Needs API credential setup for both OpenAI and SerpAPI Webhook endpoint configuration for chat trigger Memory buffer configuration for conversation context Optional Enhancements Custom branding for chat interface Additional language support beyond German greeting Integration with booking platforms for direct reservations Analytics tracking for usage insights

Temporary solution using the undocumented REST API for backups using Google drive. Please note that there are issues with this workflow. It does not support versioning, so please know that it will create multiple copies of the workflows so if you run this daily it will make the folder grow quickly. Once I figure out how to version in Gdrive I'll update it here.

This workflow demonstrates how to can use Redis to implement rate limits to your API. The workflow uses the incoming API key to uniquely identify the user and use it as a key in Redis. Every time a request is made, the value is incremented by one, and we check for the threshold using the IF node. Duplicate the following Airtable to try out the workflow: https://airtable.com/shraudfG9XAvqkBpF

This workflow provides automated access to the Paigedutcher2 Paige AI model through the Replicate API. It saves you time by eliminating the need to manually interact with AI models and provides a seamless integration for other generation tasks within your n8n automation workflows. Overview This workflow automatically handles the complete other generation process using the Paigedutcher2 Paige model. It manages API authentication, parameter configuration, request processing, and result retrieval with built-in error handling and retry logic for reliable automation. Model Description: "Custom AI model trained on Paige — bold, curvy, confident energy. Think Barbie meets boss. Great for glam, fantasy, seductive, and influencer-style prompts. Use trigger word CharacterPGE to activa... Key Capabilities Specialized AI model with unique capabilities** Advanced processing and generation features** Custom AI-powered automation tools** Artistic style control and customization** Tools Used n8n**: The automation platform that orchestrates the workflow Replicate API**: Access to the Paigedutcher2/paige AI model Paigedutcher2 Paige**: The core AI model for other generation Built-in Error Handling**: Automatic retry logic and comprehensive error management How to Install Import the Workflow: Download the .json file and import it into your n8n instance Configure Replicate API: Add your Replicate API token to the 'Set API Token' node Customize Parameters: Adjust the model parameters in the 'Set Other Parameters' node Test the Workflow: Run the workflow with your desired inputs Integrate: Connect this workflow to your existing automation pipelines Use Cases Specialized Processing**: Handle specific AI tasks and workflows Custom Automation**: Implement unique business logic and processing Data Processing**: Transform and analyze various types of data AI Integration**: Add AI capabilities to existing systems and workflows Connect with Me Website**: https://www.nofluff.online YouTube**: https://www.youtube.com/@YaronBeen/videos LinkedIn**: https://www.linkedin.com/in/yaronbeen/ Get Replicate API**: https://replicate.com (Sign up to access powerful AI models) #n8n #automation #ai #replicate #aiautomation #workflow #nocode #aiprocessing #dataprocessing #machinelearning #artificialintelligence #aitools #automation #digitalart #contentcreation #productivity #innovation

Overview This solution ensures the secure backup and version control of your self-hosted n8n workflows by storing them in a GitLab repository. It compares current workflows with their GitLab counterparts, updates files when differences are detected, and organizes them in user-specific folders (e.g., repo -> username -> workflow.json). Backups are triggered manually or weekly, with a success notification sent via email. Operational Process Manual Backup Trigger**: Initiates the backup process on demand. Scheduled Weekly Backup**: Automatically triggers the backup every week. Fetch N8N Workflows**: Retrieves all workflows from n8n using the API (getAll:workflow). Prepare Backup Metadata**: Generates metadata, including user details for folder organization. Process Each Workflow**: Handles each workflow individually for processing. Format Workflow for GitLab**: Structures workflows with proper versioning for GitLab compatibility. Rate Limit Control**: Manages API rate limits to ensure smooth operation. Create to GitLab Repository**: Saves workflows to GitLab; creates a new file if it doesn’t exist. Check Backup Status**: Verifies if the file exists; if true, proceeds to update; if false, loops back. Update Backup Summary**: Updates the existing file in GitLab with the latest version. Log Backup Results**: Records the outcome of the backup process. Send Email**: Sends a confirmation email: "Hello, The scheduled backup of all n8n workflows has been completed successfully. All workflows have been committed to the GitLab repository without any errors. Regards, n8n Automation Bot" Implementation Guide Import this solution into your n8n instance. Configure GitLab API credentials and specify the target repository. Set up n8n API access to enable workflow retrieval. Customize the Prepare Backup Metadata node to map users to folders as needed. Test the process using the Manual Backup Trigger to confirm GitLab integration. Schedule weekly backups via the Scheduled Weekly Backup node (recommended for Fridays). Requirements GitLab API credentials with write access n8n API access for workflow retrieval A configured GitLab repository Customization Options Adjust the Prepare Backup Metadata node to include additional user fields. Modify the Rate Limit Control node to accommodate varying API limits. Tailor the Send Email node to include custom notification details.

This N8N template demonstrates how to use our tool to collect a list of videos from any YouTube channel - including video URLs, titles, descriptions, thumbnail links, publish dates, and more - all saved cleanly into a connected Google Sheet. Use cases are many: Whether you're a YouTube content strategist tracking competitors, a marketing team building dashboards from video metadata, or an automation pro connecting YouTube to downstream workflows, researchers and analysts collecting structured video data at scale, this tool gives you what you need! How It Works The workflow begins when you click Execute Workflow or Test Workflow manually in N8N. It reads the list of full channel URLs, custom channel URLs or channel IDs from the Channel URLs tab in the connected Google Sheet. Only the channels with the Ready status will be processed. A Switch node detects whether the input is a full/custom channel URL, or a raw channel ID, and routes it accordingly. If the input is already a channel ID, the tool prepares the data structure before sending it to the YouTube API call in the next step. If the input is a full channel URL or a custom channel URL, the workflow extracts the username, then sends a HTTP Request to the YouTube API to retrieve the corresponding Channel ID, and prepares the data structure before continuing. Once the valid Channel ID is set, the tool sends a request to YouTube API endpoint to retrieve a list of public videos. By default, the number of videos extracted per channel is limited to 10. The API response is checked for success: If successful, the video data is split into individual entries, cleaned, and added to the Videos tab in the connected Google Sheet. The original rows' status in the Channel URLs tab is marked as Finished. If an error occurs, the rows' status in the Channel URLs tab is marked as Error for later review. How To Use Download the workflow package. Import the workflow package into your N8N interface. Duplicate the YouTube - Get Channel Videos Google Sheet template into your Google Sheets account. Set up Google Cloud Console credentials in the following nodes in N8N, ensuring enabled access and suitable rights to Google Sheets and YouTube services: For Google Sheets access, ensure each node is properly connected to the correct tab in your connected Google Sheet: Node Google Sheets - Get Channel URLs → connected to the Channel URLs tab; Node Google Sheets - Update Data → connected to the Videos tab; Node Google Sheets - Update Data - Success → connected to the Channel URLs tab; Node Google Sheets - Update Data - Error → connected to the Channel URLs tab. For YouTube access, set up a GET method to connect to YouTube API in the following nodes: Node HTTP Request - Get Channel ID; Node HTTP Request - Get Channel Videos. In your connected Google Sheet, enter the full channel URLs, custom channel URLs or channel IDs that you want to crawl and set the rows' status to Ready. Run the workflow by clicking Execute Workflow or Test Workflow in N8N. View the results in your connected Google Sheet: Successful fetches will update the original rows' status to Finished and the videos' information show up in the Videos tab. If any URL or ID fails, the rows' status will be marked as Error. Requirements Basic setup in Google Cloud Console (OAuth or API Key method enabled) with enabled access to YouTube and Google Sheets. How To Customize By default, the workflow is manually triggered in N8N. However, you can automate the process by adding a Google Sheets trigger that monitors new entries automatically. If you want to fetch more video metadata like durations, or view counts, you can expand the HTTP Request and post-processing nodes to include those. The workflow, by default, collects up to 10 videos per channel. If you’d like to fetch more, in the connected Google Sheet, simply enter your desired video number limit in Column C in the Channel URLs tab. The tool will use that value when calling the YouTube API. Need Help? Join our community on different platforms for support, inspiration and tips from others. Website: https://www.agentcircle.ai/ Etsy: https://www.etsy.com/shop/AgentCircle Gumroad: http://agentcircle.gumroad.com/ Discord Global: https://discord.gg/d8SkCzKwnP FB Page Global: https://www.facebook.com/agentcircle/ FB Group Global: https://www.facebook.com/groups/aiagentcircle/ X: https://x.com/agent_circle YouTube: https://www.youtube.com/@agentcircle LinkedIn: https://www.linkedin.com/company/agentcircle

Tags: Supply Chain Management, Logistics, Transportation, Data Transmission Context Hey! I'm Samir, a Supply Chain Engineer and Data Scientist from Paris founder of LogiGreen Consulting We help small and medium businesses improve their logistics processes using AI, Data Analytics and Automation. > Sustainable and Efficient supply chains with N8N! 📬 For business inquiries, you can add me on Here What is an EDI Message? Electronic Data Interchange (EDI) is a standardized method of automatically transferring data between computer systems. They ensure the smooth flow of essential transactional data, such as purchase orders, invoices, shipping notices, and more. For instance, a manufacturing company can receive purchase orders from a retailer via EDI. However, they need complex integration for the transmission and processing of the messages. Who is this template for? This workflow template is designed for small companies that cannot connect to their customers and need to manually process the EDI messages received. How does it work? This workflow uses a Gmail Trigger that analyzes all the incoming emails. 📧 Gmail Trigger → Detects emails with "EDI" in the subject. 📜 Parses EDI Message → Uses a JavaScript Code Node to extract structured data. 📊 Formats the Data → Converts it into a table-friendly format. 📑 Updates Google Sheets → Automatically logs the processed orders. Prerequisite This workflow does not require any additional paying subscription. A Google Drive Account with a folder including a Google Sheet API Credentials: Google Drive API, Google Sheets API and Gmail API A Google sheet to store the shipment records. You do not need to prepare the columns. Next Steps Follow the sticky notes to set up the parameters inside each node and get ready to improve your logistics operations! 📺 Watch the Step-by-Step Guide 🎥 Check My Tutorial 🚀 Interested in applications of N8N for Logistics & Supply Chain Management? Let's connect on Linkedin Notes This template includes an example of EDI message to test the workflow. If you want to learn more about Electronic Data Interchange: 🚚 Blog Article about Electronic Data Interchange (EDI) This workflow has been created with N8N 1.82.1 Submitted: March 19th, 2025

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. This workflow automatically monitors customer support forums and Q&A platforms to extract valuable customer insights and pain points. It saves you time by eliminating the need to manually browse through forum discussions and provides structured analysis of customer questions, answers, and recurring issues. Overview This workflow automatically scrapes customer support forums like Stack Exchange and SuperUser to find questions and discussions related to specific topics or brands. It uses AI to analyze forum content, extract customer pain points, and identify recurring issues, then sends structured insights directly to your product team via email. Tools Used n8n**: The automation platform that orchestrates the workflow Bright Data**: For scraping forum pages and Q&A platforms without being blocked OpenAI**: AI agent for intelligent forum content analysis and insight extraction Gmail**: For sending automated insight reports to your team How to Install Import the Workflow: Download the .json file and import it into your n8n instance Configure Bright Data: Add your Bright Data credentials to the MCP Client node Set Up OpenAI: Configure your OpenAI API credentials Configure Gmail: Connect your Gmail account for sending team notifications Customize: Set target forum URLs and define the topics or brands to monitor Use Cases Product Teams**: Identify customer pain points and feature requests from forum discussions Customer Support**: Monitor common issues and questions customers are asking Market Research**: Understand customer needs and challenges in your industry Competitive Analysis**: Track how customers discuss competitor products and services Connect with Me Website**: https://www.nofluff.online YouTube**: https://www.youtube.com/@YaronBeen/videos LinkedIn**: https://www.linkedin.com/in/yaronbeen/ Get Bright Data**: https://get.brightdata.com/1tndi4600b25 (Using this link supports my free workflows with a small commission) #n8n #automation #forummonitoring #customersupport #brightdata #webscraping #customerinsights #n8nworkflow #workflow #nocode #forumautomation #customerresearch #supportmonitoring #painpointanalysis #communitymonitoring #forumanalysis #customerfeedback #productinsights #supportforums #stackexchange #customervoice #userresearch #productfeedback #techsupport #communitylistening #customerexperience #supportanalysis #forumdata #qandamonitoring #customerpainpoints

About The LinkedIn Profile Discovery Automation Are you tired of manually searching for LinkedIn profiles or paying expensive data providers for often outdated information? If you spend countless hours trying to find accurate LinkedIn URLs for your prospects or candidates, this automation will change your workflow forever. Just give this workflow the information you have about a contact, and it will automatically augment it with a LinkedIn profile. How to find a LinkedIn Profile Link In this guide, you'll learn how to automate LinkedIn profile link discovery using Airtop's built-in node in n8n. Using this automation, you'll have a fully automated workflow that saves you hours of manual searching while providing accurate, validated LinkedIn URLs. What You'll Need A free Airtop API key A Google Workspace account. If you have a Gmail account, you’re all set Estimated setup time: 10 minutes Understanding the Process This automation leverages the power of intelligent search algorithms combined with LinkedIn validation to ensure accuracy. Here's how it works: Takes your input data (name, company, etc.) and constructs intelligent search queries Utilizes Google search to identify potential LinkedIn profile URLs Validates the discovered URLs directly against LinkedIn to ensure accuracy Returns confirmed, accurate LinkedIn profile URLs Setting Up Your Automation Getting started with this automation is straightforward: Prepare Your Google Sheet Create a new Google Sheet with columns for input data (name, company, domain, etc.) Add columns for the output LinkedIn URL and validation status (see this example) Configure the Automation Connect your Google Workspace account to n8n if you haven't already Add your Airtop API credentials (Optionally) Configure your Airtop Profile and sign-in to LinkedIn in order to validate profile URL's Run Your First Test Add a few test entries to your Google Sheet Run the workflow Check the results in your output columns Customization Options While the default setup uses Google Sheets, this automation is highly flexible: Webhook Integration**: Perfect for integrating with tools like Clay, Instantly, or your custom applications Alternatives**: Replace Google Sheets with Airtable, Notion, or any other tools you already use for more robust database capabilities Custom Output Formatting**: Modify the output structure to match your existing systems Batch Processing**: Configure for bulk processing of multiple profiles Real-World Applications This automation has the potential to transform how we organizations handle profile enrichment. Recruiting Firm Success Story With this automation, a recruiting firm could save hundreds of dollars a month in data enrichment fees, achieve better accuracy, and eliminate subscription costs. They would also be able to process thousands of profiles weekly with near-perfect accuracy. Sales Team Integration A B2B sales team could integrate this automation with their CRM, automatically enriching new leads with validated LinkedIn profiles and saving their SDRs hours per week on manual research. Best Practices To maximize the accuracy of your results: Always include company information (domain or company name) with your search queries Use full names rather than nicknames or initials when possible Consider including location data for more accurate results with common names Implement rate limiting to respect LinkedIn's usage guidelines Keep your input data clean and standardized for best results Use the integrated proxy to navigate more effectively through Google and LinkedIn What's Next? Now that you've automated LinkedIn profile discovery, consider exploring related automations: Automated lead scoring based on LinkedIn profile data Email finder automation using validated LinkedIn profiles Integration with your CRM for automated contact enrichment

AI Chatbot with Conditional Execution for Cost Efficiency Description This n8n workflow implements an AI-powered chatbot that only runs when a chat is initiated on a website. By introducing a conditional step, the workflow ensures that AI tokens are not consumed unnecessarily, making it a cost-efficient and resource-optimized solution. The chatbot, named Sophia, serves as an interactive assistant for SyncBricks. It helps users with guest posting services, YouTube review videos, IT consultancy, and online courses while collecting user details step by step. The chatbot ensures that inquiries are properly logged and confirmed before proceeding to AI-driven responses. This template is ideal for businesses, service providers, and content creators who want to optimize AI token usage while delivering personalized, interactive engagement with their users. Features Conditional Execution – The AI chatbot only activates when a chat is initiated, avoiding unnecessary API calls. AI-Powered Conversations – Uses Google Gemini AI to generate human-like responses. Step-by-Step Data Collection – Ensures structured user input, requesting name, email, and request type sequentially. Memory Buffer for Context Awareness – Maintains conversation context using a window buffer memory system. Multiple Service Offerings – Supports inquiries related to: Guest Posting Services YouTube Review Videos Online Courses on Udemy IT Consultancy Services Automated Confirmation Messages – After collecting user details, sends a confirmation message summarizing the request. How It Works Chat Message Trigger The workflow starts only when a chat message is received from the website. This ensures no AI token is consumed unless a user initiates a chat. Condition Check: Is Chat Input Provided? The workflow checks if chat input is non-empty. If the chat input is empty, the workflow stops, ensuring no unnecessary API usage. If a message is detected, the chatbot continues processing. AI-Powered Chat Response The chatbot, Sophia, generates personalized responses using Google Gemini AI. AI ensures structured conversation flow by collecting: User’s Full Name Email ID Request Type Memory Buffer for Context Retention A Window Buffer Memory system stores chat history and retrieves previous responses to ensure context-aware conversations. Response Optimization Checks memory to avoid asking the same question twice. If details are already provided, Sophia moves directly to processing the request. Confirmation & User Engagement After collecting the required details, Sophia summarizes the request as follows: "Got it [Name], your request is [Request Type]. I will be sending the details to your email ID: [Email]. Hold on while I send confirmation." Final Confirmation Message Ensures the user receives a proper acknowledgment of their inquiry. Prerequisites Before using this workflow, make sure you have: n8n Instance (Cloud or Self-Hosted) Google Gemini API Key (For AI-generated responses) Webhook Integration (To trigger the chatbot from your website) Use Cases Businesses & Enterprises – AI-powered lead qualification for services. Bloggers & Content Creators – Automated guest post inquiry handling. YouTube Influencers & Educators – AI chatbot to promote courses and review services. Marketing Agencies – Lead generation chatbot without excessive AI token consumption. E-Commerce & Consulting Services – AI-driven personalized customer engagement. Nodes Used in This Workflow Chat Trigger (Webhook) – Initiates only when a user sends a chat message. Conditional Check (If Node) – Ensures AI is only used when a chat is initiated. AI Agent (Google Gemini AI) – Generates intelligent chatbot responses. Memory Buffer (Context Retention) – Stores user inputs for context-aware conversations. Important Start with n8n Learn n8n with Amjid Get n8n Book What is Proxmox Creator Information Developed by: Amjid Ali Website: SyncBricks Email: amjid@amjidali.com LinkedIn: Amjid Ali YouTube: SyncBricks Support & Contributions If you find this workflow helpful, consider supporting my work: Donate via PayPal For full courses on n8n, visit: Course by Amjid Final Thoughts This n8n workflow ensures optimal AI token usage while engaging users with an intelligent chatbot. By integrating conditional execution, it prevents unnecessary API calls, making it cost-effective and efficient for businesses looking to automate chat-based customer interactions. Let me know if you need any modifications!