Workflow Templates

This workflow provides automated access to the Notdaniel Voxtral Small 24B 2507 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 audio generation tasks within your n8n automation workflows. Overview This workflow automatically handles the complete audio generation process using the Notdaniel Voxtral Small 24B 2507 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: Voxtral Small is an enhancement of Mistral Small 3 that incorporates state-of-the-art audio input capabilities and excels at speech transcription, translation and audio understanding. Key Capabilities AI-driven audio generation and processing** High-quality sound synthesis** Advanced audio manipulation tools** Tools Used n8n**: The automation platform that orchestrates the workflow Replicate API**: Access to the Notdaniel/voxtral-small-24b-2507 AI model Notdaniel Voxtral Small 24B 2507**: The core AI model for audio 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 Audio Parameters' node Test the Workflow: Run the workflow with your desired inputs Integrate: Connect this workflow to your existing automation pipelines Use Cases Music Production**: Generate background music and audio tracks Podcast Enhancement**: Create intro/outro music and sound effects Audio Content**: Produce voiceovers and audio narration Sound Design**: Generate custom audio for games and applications 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 #audiogeneration #aiaudio #soundgeneration #musicai #audioautomation #machinelearning #artificialintelligence #aitools #automation #digitalart #contentcreation #productivity #innovation

Quiz Assistant via WhatsApp with Supabase and OpenAI Create a quiz assistant that helps users study a topic of their choice through WhatsApp. Using Supabase and OpenAI, this workflow captures missing user data, stores it, and delivers dynamic quizzes tailored to each topic. Main Use Cases Guide users through personalized study sessions Collect and store user preferences (name + topic) Automate quiz creation with AI Deliver interactive content via WhatsApp How It Works This workflow is composed of three main paths: 1. User Info Collection Triggered by an incoming WhatsApp message Retrieves existing user data from Supabase Checks if the name and topic are already defined If not, sends WhatsApp prompts to collect missing info Updates Supabase with new entries 2. AI Quiz Generation Once name and topic are confirmed, the Merge node consolidates all inputs Data is sent to the AI Agent (OpenAI Chat + Memory) The agent generates a quiz based on the selected topic 3. Response Delivery The quiz is sent back to the user via WhatsApp Flow ends, ready to restart with the next interaction

How It Works Form Submission: The workflow starts with the On form submission node, which triggers when a user submits a contact form. The form collects the user's name, email, and message. Text Classification: The Text Classifier node uses an AI model (GPT-4) to classify the submitted message into one of the predefined categories: Request Quote: For quote requests. Product info: For general product inquiries. General problem: For issues or problems related to products. Order: For questions about placed orders. Other: For any messages that don’t fit the above categories. Email Routing: Based on the classification, the workflow routes the message to the appropriate department via email: Prod. Dep.: For product-related inquiries. Quote Dep.: For quote requests. Gen. Dep.: For general problems. Order Dep.: For order-related questions. Other Dep.: For all other inquiries. Each email includes the user's name, email, message, and the classified category. Data Logging: The workflow logs the form submission and classification results into a Google Sheets document. Each department has its own sheet where the data is appended, including: User’s name, email, and message. Submission date and time. Assigned category. Email recipient details. AI Model Integration: The OpenAI node provides the AI model (GPT-4) used by the Text Classifier to classify the messages. The model is instructed to classify the text into one of the predefined categories without additional explanations. Set Up Steps Configure the Form Trigger: Set up the On form submission node to collect user inputs (name, email, and message) and trigger the workflow. Set Up the Text Classifier: Configure the Text Classifier node to use the OpenAI model (GPT-4) for text classification. Define the categories and their descriptions (e.g., "Request Quote", "Product info", etc.). Set the fallback category to "Other" for unclassifiable messages. Configure Email Sending: Set up the Email Send nodes for each department (Prod. Dep., Quote Dep., Gen. Dep., Order Dep., Other Dep.). Configure the email subject, body, and reply-to address using the form data and classification results. Ensure SMTP credentials are correctly configured for sending emails. Set Up Google Sheets Integration: Configure the Google Sheets nodes to append data to the appropriate sheets for each department. Map the form data (name, email, message, date, category, and recipient) to the corresponding columns in the Google Sheets document. Test the Workflow: Submit a test form to ensure the workflow correctly classifies the message, sends the email to the right department, and logs the data in Google Sheets. Verify that the OpenAI model is classifying messages accurately. Activate the Workflow: Once tested, activate the workflow to automate the process of handling contact form submissions. Key Features Automated Classification**: Uses AI to classify messages into relevant categories, reducing manual effort. Email Routing**: Sends emails to the appropriate department based on the classification. Data Logging**: Logs all form submissions and classification results in Google Sheets for tracking and analysis. Scalability**: Easily adaptable to additional categories or departments by modifying the workflow. This workflow is ideal for eCommerce businesses or customer support teams looking to automate and streamline the handling of contact form submissions. Need help customizing? Contact me for consulting and support or add me on Linkedin.

This workflow implements an advanced AI automation agent (OpenClaw Agent) that interacts with users through Telegram and integrates multiple AI models, external tools, and cloud services to automate complex tasks. I've described my basic idea in this video. VERY IMPORTANT: By adapting the system prompt, inserting subworkflows or mcp servers and adjusting with webhooks many of the workflows I have developed on this page it is possible to potentially extend the template infinitely. The agent can autonomously decide which tools to use to complete the request. It has access to multiple integrations, including: Gmail (read, send, reply, draft emails) Google Calendar (create, delete, check availability) Google Drive, Docs, Sheets, and Slides Web search and web scraping tools RAG (Retrieval-Augmented Generation) using a vector database Here how set up Image and video analysis tools Mathematical calculator tools Custom sub-workflows and MCP integrations The system also includes persistent chat memory stored in PostgreSQL, allowing the AI to remember previous interactions and maintain conversation context. Finally, the workflow generates a response and sends it back to the user via Telegram. If the input was voice-based, the response can also be converted into audio and returned as a voice message. An escalation mechanism allows the system to transfer the conversation to a human operator when needed. Key Advantages 1. ✅ Multimodal Interaction The workflow supports text, voice, and image inputs, allowing users to interact with the system naturally. 2. ✅ AI-Powered Automation The integrated AI agent can autonomously decide which tools to use to solve tasks, reducing manual intervention and enabling intelligent automation. 3.✅ Deep Integration with Google Workspace The workflow can manage emails, documents, spreadsheets, presentations, and calendar events directly through AI commands. 4. ✅ Retrieval-Augmented Knowledge (RAG) The system can access external knowledge sources through a vector database, improving response accuracy and enabling knowledge-based answers. 5. ✅ Persistent Memory Conversation history is stored in PostgreSQL, allowing the agent to maintain context and provide more relevant responses over time. 6. ✅ Web Intelligence Built-in web search and scraping capabilities allow the agent to gather real-time information from the internet. 7. ✅ Voice Response Capability The system can generate audio responses, creating a more natural conversational experience. 8. ✅ Modular and Scalable Architecture The workflow is highly modular, allowing new tools, agents, and services to be added easily. 9. ✅ Human Escalation When automation is not sufficient, the system can escalate the conversation to a human operator. 10. ✅ Fully Automated Digital Assistant Overall, the workflow acts as a fully autonomous AI assistant capable of performing complex operational tasks across multiple platforms. How it works This workflow is a comprehensive Telegram-based AI orchestrator that simulates an OpenClaw-style multi-agent architecture. When a user sends a message to the Telegram bot, the workflow: Receives and authorizes the message through a Telegram trigger, checking if the user ID matches an authorized user (configured in the Code node) Routes different content types using a Switch node that detects whether the incoming message contains text, voice, or images: Text messages: Directly passed to the orchestrator Voice messages: Downloaded and transcribed using OpenAI's audio transcription Images: Downloaded, uploaded to an FTP server, and transformed into a URL for processing Feeds the processed input (text, transcribed voice, or image URL with caption) into the "OpenClaw Agents" node - an AI agent configured with Gemini as the language model and Postgres for chat memory Orchestrates specialized sub-agents through the main AI agent, which can delegate tasks to multiple tools: Research and web search (Perplexity AI) Web scraping (ScrapeGraphAI) Google services (Gmail, Drive, Docs, Sheets, Slides, Calendar) RAG (Qdrant vector store with Cohere reranker) Image/Video generation (via sub-workflow) Calculator Telegram communication tools Handles response delivery based on the original message type: If the original message was voice, the workflow generates an audio response using OpenAI TTS and sends it back as audio Otherwise, sends a text response via Telegram Includes escalation capabilities through a human-in-the-loop tool for situations requiring human intervention Set up steps Configure Telegram Bot Create a Telegram bot via BotFather to get a bot token Set up Telegram credentials in n8n Replace XXX in the Code node with your authorized Telegram user ID Set up API Keys and Credentials OpenAI: API key for audio transcription and text-to-speech Google Gemini: API key for the main language model Google Cloud: OAuth2 credentials for all Google services (Gmail, Drive, Calendar, Docs, Sheets, Slides) Perplexity AI: API key for research and web search ScrapeGraphAI: API key for web scraping Cohere: API key for reranker functionality PostgreSQL: Database connection for chat memory Configure External Services Qdrant: Set up vector database for RAG functionality FTP Server: Configure FTP credentials and path (replace /XXX/ in Upload image node with actual path and domain in Set Image Url node) Configure Webhooks and Endpoints Set the Telegram webhook URL to point to your n8n instance The workflow includes multiple MCP endpoints that need proper configuration Review and Adjust Parameters Check all nodes with placeholder values (marked with XXX) Verify language settings (Italian is set for transcription) Review the system prompt in the OpenClaw Agents node and customize if needed Ensure all tool descriptions match your use case Test and Activate Run the workflow in inactive mode first to test with sample inputs Check that all connections between nodes are correct Activate the workflow when everything is verified 👉 Subscribe to my new YouTube channel. Here I’ll share videos and Shorts with practical tutorials and FREE templates for n8n. Need help customizing? Contact me for consulting and support or add me on Linkedin.

Are you looking to create a counseling chatbot that provides emotional support and mental health guidance through the LINE messaging platform ? This guide will walk you through connecting LINE with powerful AI language models like GPT-4 to build a chatbot that supports users in navigating their emotions, offering 24/7 conversational therapy and accessible mental health resources . By leveraging LINE's webhook integration and Azure OpenAI , this template allows you to design a chatbot that is both empathetic and efficient, ensuring users receive timely and professional responses. Whether you're a developer, counselor, or business owner, this guide will help you create a customizable counseling chatbot tailored to your audience's needs. Who Is This Template For? Developers who want to integrate AI-powered chatbots into the LINE platform for mental health applications. Counselors & Therapists looking to expand their reach and provide automated emotional support to clients outside of traditional sessions. Businesses & Organizations focused on improving mental health accessibility and offering innovative solutions to their users. Educators & Nonprofits seeking tools to provide free or low-cost counseling services to underserved communities. How this work? Line Webhook to receive new message Send loading animation in Line Check if the input is text or not Send the text as prompt in chat model (GPT 4o) Reply the message to user (you'll need 'edit field' to format it before reply) Pre-Requisites You have access to the LINE Developers Console. An Azure OpenAI account with necessary credentials. Set-up To receive messages from LINE, configure your webhook: Set up a webhook in LINE Developer Console. Copy the Webhook URL from the Line Chatbot node and paste it into the LINE Console. Ensure to remove any 'test' part when moving to production. The loading animation reassures users that the system is processing their request. Authorize using header authorization Message Handling Use the Check Message Type IsText? node to verify if the incoming message is text. If the message type is text, proceed with ChatGPT processing; otherwise, send a reply indicating non-text inputs are not supported. AI Agent Configuration Define the system message within the AI Agent node to guide the conversation based on desired interaction principles. Connect the Azure OpenAI Chat Model to the AI Agent. Formatting Responses Ensure responses are properly formatted before sending them back to the user. Reply Message Use the ReplyMessage - Line node to send the formatted response. Ensure proper header authorization using Bearer tokens.

This workflow is for automating and centralizing your bookmarking process using AI-powered tagging and seamless integration between your Android device and a self-hosted Read Deck platform (https://readeck.org/en/). This workflow eliminates manual entry, organizes links with smart AI-generated tags, and ensures your bookmarks are always accessible, searchable, and secure. How It Works 📱 Android Shortcut Integration Use the HTTP Shortcuts app to create a 1-tap trigger that sends URLs and titles from your Android phone directly to n8n. 🤖 AI-Powered Tagging & Processing Leverage ChatGPT-4 to analyze content context and auto-generate relevant tags (e.g., “Tech Tutorials,” “Productivity Tools”). Extract clean titles and URLs from messy shared data (even from apps like Twitter or Reddit). 🔗 Readeck Integration Automatically save processed bookmarks to your self-hosted Readeck-like platform with structured metadata (title, URL, tags). ⚡ Silent Automation It runs in the background—no pop-ups or interruptions. 🔒 Pro Security Optional authentication (API tokens, headers) to protect your data. Use Case Perfect for researchers, content creators, or anyone drowning in tabs who wants to: Save articles, videos, or social posts in one click. Organize bookmarks with AI-generated tags. Build a personal knowledge base that’s always accessible. Tutorial 1️⃣ Set Up Android Shortcut Install "HTTP Shortcuts" and configure it to send data to your n8n webhook. Enable “Share Menu” to trigger bookmarks from any app. 2️⃣ Configure n8n Workflow Import the template and add your Read Deck API token (or similar service). 3️⃣ Test & Scale Share a link from your phone—watch it appear in Read Deck instantly! Add error handling or notifications for advanced use. Note: For self-hosted platforms, ensure your instance is publicly accessible (or use a VPN). Why Choose This Workflow? Zero Manual Entry: Save hours of copying/pasting. AI Organization: Say goodbye to chaotic bookmark folders. Privacy First: Host your data on your terms. Transform your bookmarking chaos into a streamlined system—try “Save: Bookmark” today! 🚀

Description This n8n automation template delivers a full-stack AI content pipeline designed for marketing teams, content creators, SaaS founders, and growth hackers. It combines prompt chaining, GPT-4o agents, and Google Sheets to generate engaging, SEO-friendly blogs—end to end. What This Template Does: 📝 Generates blog topic ideas using a domain-specific AI agent (e.g., for Sparrow API testing) 📄 Creates a blog outline with key sections and headings ✅ Evaluates & refines the outline to ensure clarity, flow, and engagement 🧾 Writes the full blog content in structured, long-form paragraphs 📥 Appends the blog to Google Sheets with the current date Built With: GPT-4o (via Azure OpenAI) LangChain Agents for task-specialized prompt chaining Google Sheets integration for automatic publishing Schedule Trigger for periodic content generation Ideal Use Cases: SaaS teams looking to scale inbound content API platforms (like Sparrow) publishing technical how-tos SEO agencies automating client blog content Solo founders growing product visibility via thought leadership

Track NFT market trends, collections, and trades in real time—directly from Telegram! This master workflow integrates the OpenSea API, GPT-4o-mini AI, and Telegram, allowing users to request natural-language NFT analytics and receive structured insights instantly. Whether you're an NFT trader, collector, or market analyst, this Telegram-native assistant brings you on-demand market intelligence—powered by OpenSea and AI. > ⚠️ Important: This workflow requires three sub-workflows to function properly. These must be downloaded and published in your n8n instance. 🧩 Required Sub-Workflows To activate this template, download and publish the following workflows: Analyze NFT Market Trends with AI-Powered OpenSea Analytics Agent Tool Get Real-time NFT Insights with OpenSea AI-Powered NFT Agent Tool Get Real-time NFT Marketplace Insights with OpenSea Marketplace Agent Tool 📌 You can also find these by visiting my Creator profile: 👉 https://n8n.io/creators/don-the-gem-dealer/ How It Works A Telegram bot receives a message (e.g., “Top sales for Azuki”). The AI router in this workflow determines which agent should process the request: Marketplace Agent → Listings, offers, and orders Analytics Agent → Sales volume, price trends, wallet behavior NFT Agent → Metadata, traits, ownership info The selected agent queries the OpenSea API using your API key. The response is processed using GPT-4o-mini, formatted, and sent back via Telegram. What You Can Do with This Agent 🔹 Discover undervalued NFTs based on trait rarity and price 🔹 Track market trends for any collection in real time 🔹 Compare collection performance by volume, sales, and listings 🔹 Analyze flipping trends and whale activity across wallets 🔹 Retrieve NFT ownership and metadata instantly 🔹 View trait-specific offers for insight into rarity-driven demand Example Queries You Can Use ✅ "What are the cheapest NFTs in the Pudgy Penguins collection?" ✅ "Get sales volume for Azuki and CloneX over the last 30 days." ✅ "Who owns Bored Ape #456?" ✅ "Show the best current offers for Moonbirds." Set Up Steps Create a Telegram Bot Use @BotFather to create your bot and get the API token. Get an OpenSea API Key Apply for your API key via the OpenSea Developer Portal. Configure n8n Credentials Add your Telegram Bot and OpenSea API Key under Credentials in n8n. Download Required Sub-Workflows Install and publish the following workflows: Analytics Agent Tool NFT Agent Tool Marketplace Agent Tool Deploy & Test Chat with your Telegram bot. Try: "Compare BAYC and Azuki volume" or "Show listings for Doodles." ✅ Final Notes > If your queries don’t respond correctly, make sure all three sub-workflows are installed and published, not just saved. 🚀 Dominate the NFT market with AI-powered OpenSea intelligence—right from your Telegram inbox!

Tags: Supply Chain, Logistics, Control Tower Context Hey! I’m Samir, a Supply Chain Engineer and Data Scientist from Paris, and the founder of LogiGreen Consulting. We design tools to help companies improve their logistics processes using data analytics, AI, and automation—to reduce costs and minimize environmental impact. > Let’s use N8N to build smarter and more sustainable supply chains! 📬 For business inquiries, you can add me on LinkedIn Who is this template for? This workflow template is designed for logistics operations that need a monitoring solution for their distribution chains. Connected to your Transportation Management Systems, this AI agent can answer any question about the shipments handled by your distribution teams. How does it work? The workflow is connected to a Google BigQuery table that stores outbound order data (customer deliveries). Here’s what the AI agent does: 🤔 Receives a user question via chat. 🧠 Understands the request and generates the correct SQL query. ✅ Executes the SQL query using a BigQuery node. 💬 Responds to the user in plain English. Thanks to the chat memory, users can ask follow-up questions to dive deeper into the data. What do I need to get started? This workflow requires no advanced programming skills. You’ll need: A Google BigQuery account with an SQL table storing transactional records. An OpenAI API key (GPT-4o) for the chat model. Next Steps Follow the sticky notes in the workflow to configure each node and start using AI to support your supply chain operations. 🎥 Watch My Tutorial 🚀 Curious how N8N can transform your logistics operations? Notes The chat trigger can easily be replaced with Teams, Telegram, or Slack for a better user experience. You can also connect this to a customer chat window using a webhook. This workflow was built using N8N version 1.82.1 Submitted: March 24, 2025

Overview The Get Bible Query Workflow is a modular and self-standing workflow designed to retrieve scriptures dynamically based on structured input. It serves as an intermediary layer that extracts references, queries the GetBible API, and returns scriptures in a standardized JSON format. This workflow is fully prepared for integration—simply call it from another workflow with the required JSON input, and it will return the requested scripture data. Who Is This For? This workflow is ideal for developers, Bible study apps, research tools, and dynamic scripture-based projects that need seamless access to scriptural content without direct API interaction. ✅ Use Cases: Bible Study Apps** → Embed scripture retrieval functionality. Research & Theology Tools** → Fetch structured verse data. Dynamic Content Generation** → Integrate real-time scripture references. Sermon Preparation** → Automate scripture lookups. How It Works Trigger Workflow → This workflow is designed to be called from another workflow with a structured JSON input. Receive Input → Accepts a JSON object containing references, translation, and API version. Extract References → Parses single verses, comma-separated lists, and ranged passages. Query API → Sends structured requests to the GetBible API. Format Response → Returns structured JSON output, maintaining API response consistency. JSON Input Structure References** → Should include the book name, chapter, and verse(s). Multiple Verses** → Separated by commas (e.g., John 3:16,18). Verse Ranges** → Defined with a dash (e.g., John 3:16-18). Translation** → Choose from the supported translations. API Version** → Currently supports v2. Example JSON Input { "references": [ "1 John 3:16", "Jn 3:16", "James 3:16", "Rom 3:16" ], "translation": "kjv", "version": "v2" } Example API Response { "result": { "kjv_62_3": { "translation": "King James Version", "abbreviation": "kjv", "book_name": "1 John", "chapter": 3, "ref": ["1 John 3:16"], "verses": [ { "chapter": 3, "verse": 16, "name": "1 John 3:16", "text": "Hereby perceive we the love of God, because he laid down his life for us: and we ought to lay down our lives for the brethren." } ] } } } 💡 Fully structured and formatted response – ready for seamless integration. Integration and Usage The GetBible Query Workflow is designed for immediate use. Simply call it from another workflow and pass the appropriate JSON object as input, and it will return the requested scripture passages. ✔️ No additional configuration is required. ✔️ Designed for fast, reliable, and structured scripture retrieval. ✔️ Fully compatible with GetBible API responses. Why Use This Workflow? ✔️ Fast & Reliable → Direct API integration for efficient queries. ✔️ Flexible Queries → Supports single, multi-verse, and ranged requests. ✔️ Agent-Compatible → Easily integrates into automated workflows. ✔️ No Code Needed → Just configure the JSON input and run the workflow. Next Steps 🔗 API Support 📖 API Documentation 💬 Need help? Join the community for support! 🚀

This workflow automatically posts a message in Slack when a new invoice is uploaded in Stripe, and it updates the fields in the HubSpot CRM. Prerequisites A Slack account and credentials A HubSpot account and credentials A Stripe account and credentials Nodes Stripe Trigger node triggers the workflow when a new invoice is uploaded. IF nodes filter the invoices that don't have a PO number and if there is no deal for the PO. HubSpot nodes retrieve deals with the specific PO number and update the deal status to 'paid'. Slack nodes post messages about the deals in a Slack channel.

📊 Dynamic Portfolio Advisor – Daily Stock Market Intelligence with Google Sheets Description: This advanced AI-powered n8n workflow automatically delivers a daily market intelligence briefing tailored to your stock holdings portfolio stored in Google Sheets. It uses real-time data from Perplexity AI, combines it with your portfolio, and generates personalized insights, risk alerts, and trade suggestions — all delivered via Telegram or any messaging app of your choice. For step-by-step build of workflows like this, check out: https://www.youtube.com/@Automatewithmarc ⚙️ How It Works: 🕒 Daily Trigger  Starts every day at a scheduled time (default: 10 AM) to fetch the most recent market data. 📈 Holdings Fetch  Reads your current portfolio dynamically from Google Sheets — no hardcoding required. 🧠 AI Analysis Agent  Combines: Market headlines Company-specific developments Macroeconomic updates  And analyzes how they might affect your holdings. 🔍 Perplexity Web Research Tool  Finds and summarizes the most relevant stock market news from the past 24 hours. 💬 Telegram Delivery  Sends a customized summary of: Market highlights Asset-specific impacts Opportunities and risks Actionable trade ideas (buy/sell/hold) 🛠️ Tools & Integrations: Google Sheets (live holdings feed) Perplexity AI (real-time market research) OpenAI GPT (financial summarization) Telegram (output, customizable) 💡 Use Cases: Portfolio-aware market intelligence Automated investor briefing assistant Risk alert + opportunity scanner Daily trade idea generator Finance bloggers or equity analysts streamlining prep work 📍Note: You can easily replace Telegram with Slack, Email, Notion, or any output tool supported by n8n. This template is perfect for active investors, financial advisors, or automation-savvy traders who want to turn AI and data into actionable daily signals.