Workflow Templates

Pizza Ordering Chatbot with OpenAI - Menu, Orders & Status Tracking Introduction This workflow template is designed to automate order processing for a pizza store using OpenAI and n8n. The chatbot acts as a virtual assistant to handle customer inquiries related to menu details, order placement, and order status tracking. Features The chatbot provides an interactive experience for customers by performing the following functions: Menu Inquiry: When a customer asks about the menu, the chatbot responds with a list of available pizzas, prices, and additional options. Order Placement: If a customer places an order, the chatbot confirms order details, provides a summary, informs the customer that the order is being processed, and expresses gratitude. Order Status Tracking: If a customer asks about their order status, the chatbot retrieves details such as order date, pizza type, and quantity, providing real-time updates. Prerequisites Before setting up the workflow, ensure you have the following: OpenAI account** (Sign up here) OpenAI API key** to interact with GPT-3.5 n8n instance** running locally or on a server (Installation Guide) Configuration Steps Step 1: Set Up OpenAI API Credentials Log in to OpenAI's website. Navigate to API Keys under your account settings. Click Create API Key and copy the key for later use. Step 2: Configure OpenAI Node in n8n Open n8n and create a new workflow. Click Add Node and search for OpenAI. Select OpenAI from the list. In the OpenAI node settings, click "Create New" under the Credentials section. Enter a name for the credentials (e.g., "PizzaBot OpenAI Key"). Paste your API Key into the field. Click Save. Step 3: Set Up the Chatbot Logic Connect the AI Agent Builder Node to the OpenAI Node and HTTP Request Node. Configure the OpenAI Node with the following settings: Model: gpt-3.5-turbo Prompt: Provide dynamic text based on customer inquiries (e.g., "List available pizzas," "Place an order for Margherita pizza," "Check my order status"). Temperature: Adjust based on desired creativity (recommended: 0.7). Max Tokens: Limit response length (recommended: 150). Add multiple HTTP Request Node: For Get Products: Fetch stored menu data and return details. For Order Product: Capture order details, generate an order ID, and confirm with the customer. For Get Order: Retrieve order details based on the order ID and display progress. Step 4: Testing and Deployment Click Execute Workflow to test the chatbot. Open the Chat Message node, then copy the chat URL to access the chatbot in your browser. Interact with the chatbot by asking different queries (e.g., "What pizzas do you have?" or "I want to order a Pepperoni pizza"). Verify responses and adjust prompts or configurations as needed. Deploy the workflow and integrate it with a messaging platform (e.g., Telegram, WhatsApp, or a website chatbot). Conclusion This n8n workflow enables a fully functional pizza ordering chatbot using OpenAI's GPT-3.5. Customers can view menus, place orders, and track their order status efficiently. You can further customize the chatbot by refining prompts, adding new features, or integrating with external databases for order management. 🚀 Happy automating!

Welcome to Ozki Your Data Analyst Agent V1. The Ozki Data Analyst Agent is designed to analyze data from Google Sheets. To use it, you'll need to provide the URL of your Google Sheet file. The agent will then process the data and provide you with analysis results, including key performance indicators (KPIs). Configuration: Configure your credentials on the OpenAI model or select the n8n free OpenAI credits. Set up your agent memory. Use Simple Memory as default. Set your credentials to Google Sheets. Log in with the Google Sheet tool. Instructions: Start with a "Hi" to get the instructions. Ozki needs your Google Sheet URL, which you can get from the address bar of your browser when you have the file open. Follow the conversation with Ozki for your data analysis results.

How many times have you missed a meeting or forgotten an appointment because a calendar reminder got lost in the noise? Traditional notifications are often dry, easy to ignore, or scattered across different apps—leaving you scrambling at the last minute. This smart Google Calendar workflow fixes that by sending you a clear, friendly reminder exactly 1 hour before your event starts—delivered through Telegram as if a personal assistant were looking out for you. Powered by AI, it transforms cold calendar alerts into warm, conversational nudges you won't ignore. Why This Works Better: ✅ No More Overlooked Alerts – Consolidates reminders into one clear, accessible place (Telegram), so you never miss them. ✅ Friendly & Engaging – AI transforms robotic calendar entries into natural, human-like reminders that are harder to ignore. ✅ Works Everywhere – Whether you're on your phone, laptop, or tablet, you’ll get the same clear notification, no matter the platform. How It Works Scheduled Trigger: The workflow starts with a Schedule Trigger node that runs every minute to check for upcoming events. Google Calendar Check: The "Get upcoming event" node queries Google Calendar for events starting within the next hour (between timeMin and timeMax). Duplicate Prevention: The "Already sent?" node ensures reminders are not sent multiple times for the same event by filtering out duplicates. AI-Powered Reminder: The "Secretary Agent" node, powered by GPT-4, crafts a friendly and professional reminder message. It includes event details like name, description, location, start/end time, and creator, formatted in a conversational tone. Telegram Notification: The final "Send reminder" node delivers the reminder via Telegram, ensuring the user receives it in a clear and accessible format. Set Up Steps Configure Schedule Trigger: Set the interval (e.g., every minute) to check for events. Connect Google Calendar: Link your Google Calendar account and specify the calendar to monitor. Set Up AI Agent: Customize the "Secretary Agent" with the provided system message to ensure reminders are warm, professional, and detailed. Link Telegram: Add your Telegram credentials and specify the CHAT_ID where reminders will be sent. Activate Workflow: Ensure the workflow is active and set to the correct timezone (e.g., Europe/Rome). Why It’s Useful Never Miss an Event**: Traditional calendar reminders can be easy to overlook, especially when scattered across platforms. This workflow consolidates reminders into a single, accessible channel (Telegram). Clear and Friendly**: The AI agent transforms generic calendar alerts into personalized, conversational reminders, making them harder to ignore. Cross-Platform Accessibility**: By delivering reminders via Telegram, users receive them in a consistent format, regardless of the device or platform they’re using. No more missed events due to unclear notifications! Need help customizing? Contact me for consulting and support or add me on Linkedin.

What does this template do? This workflow automates the process of retrieving all Google Docs from a specified Google Drive folder, extracting their content, and structuring the data into a unified key-value dictionary, where: Key = The file name Value = The content of the document (with normalized newlines) This is ideal for use cases such as knowledge ingestion, prompt context preparation, or populating a RAG (Retrieval-Augmented Generation) system with reference documents. Use Case Perfect for teams or individuals who maintain prompts, content, or reference material in Google Docs and want to integrate that data dynamically into automation or AI workflows. What the Workflow Does ⚡ Triggered via Execute Workflow Trigger from another workflow 📁 Retrieves all files from a specified Google Drive folder 📄 Downloads the full content of each Google Docs file 🧩 Maps each file name to its content using a Set node 🧠 Aggregates all entries into a single dictionary with Code node 🧾 Outputs a JSON object like: { "Doc1": "content of doc 1", "Doc2": "content of doc 2" } Apps & Services Used Google Drive Google Docs n8n Code node Pre-requisites A connected Google account with access to the target Drive folder OAuth2 credentials for both: Google Drive Google Docs Customization Tips Change Folder: Update the Google Drive node to select a specific folder rather than root Support Other File Types: Replace or complement the Google Docs node to handle other formats (e.g., PDFs or text files) Data Cleaning: Modify the Code node to adjust text normalization to your needs Additional Use Cases 🧠 Prompt Management for AI Workflows Centralize your GPT prompt templates in Google Docs instead of hardcoding them in n8n Easily manage prompt versions and edits directly from Google Drive Dynamically load prompts into downstream nodes (like OpenAI or Hugging Face) without redeploying workflows 📚 Knowledge Base Loader for RAG Systems Aggregate internal knowledge, FAQs, SOPs, or policy docs from Google Docs into a structured dictionary Use the resulting object as the context source for Retrieval-Augmented Generation models 🎛️ Dynamic Form Inputs or Question Sets Maintain forms, surveys, or interview questions in Google Docs Load the content into n8n for form generation, chatbot interaction, or customer intake flows 📄 Client-Specific Config or Script Templates For client onboarding workflows, load client-specific scripts or prompts from individual docs named after each client Helps automate client-facing document generation or AI interactions 📋 Content Ingestion for Translation, Summarization, or Sentiment Analysis Batch process internal documentation or user-submitted Google Docs Trigger summarization, translation, or classification pipelines using the document contents 🔄 Document-to-Database Import Automatically fetch and normalize Google Docs contents, ready to push into a database (e.g., Notion, Airtable, PostgreSQL)

Who is this template for? This workflow creates 360° or 180° spinning videos of high-quality 3D models with PiAPI API. Good for: Designers**: Generate inspiration into 3D designs and make them spin to gain concrete details in a efficient way. Online shoppers**: Show protential products from all angles in videos and preview overall texture of models. Content Creators** (including toy bloggers): Make fun videos of collectible models. 3D beginners:** Get simple spinning animations easily and make fun with them in a convenient way. How to customize this workflow to your need？ To use this workflow, usually we need four steps: Fill in x-api-key in Mijdourney Generator node and Generate Kling Video node, fill in Header Parameters of GPT-4o Image Generator (e.g., Bearer + your X-API-Key) Enter your model prompt based on your inspiration. Click Test Workflow. Get the video URL in the last node. Use Case The prompt node concludes the main features of creations. An example for users' reference is listed as follow: Input Prompt A blind box character design, in the chibi style, a super cute little girl wearing a white long-sleeved dress and pearl earrings with her head bowed in a prayer pose, facing upwards, wearing an oversized off-white dress with large round pearls on the shoulders, minimalist simple dress with Ruffles, against a beige background, a full-body shot in a three-quarter profile view, with a black, blue, and gray color scheme, soft lighting, 3D rendering, clay material, high detail, in the Pixar style. Clean white skin, brown renaissance braided bun. --ar 1:1 --niji 6 Output Video An Example for your reference. More Example Results for Reference

Get real-time cryptocurrency prices directly in Telegram! This workflow integrates CoinMarketCap API with Telegram, allowing users to request live crypto prices simply by sending a message to the bot. Ideal for crypto traders, analysts, and enthusiasts who need quick and easy access to market data. How It Works A Telegram bot listens for user input (e.g., "BTC" for Bitcoin). The workflow sends a request to the CoinMarketCap API to fetch the latest price. The response is processed using an AI-powered language model (GPT-4o-mini) for structured messaging. The workflow logs session data using a memory buffer for better response tracking. The latest price is sent back to the user via Telegram. Set Up Steps Create a Telegram Bot Use @BotFather on Telegram to create a bot and obtain an API token. Get a CoinMarketCap API Key Sign up at CoinMarketCap and retrieve your API key. Configure API Credentials in n8n Add the CoinMarketCap API key under HTTP Header Auth. Add your Telegram bot token under Telegram API credentials. Deploy and Test Send a message (e.g., "BTC") to your Telegram bot and receive live price updates instantly! Automate your crypto price tracking today with this powerful Telegram bot!

🧾 Description: This automation uses GPT-4o to scan unread Gmail emails and intelligently classify them as: Action → Requires your attention (reply, review, schedule, or respond) No Action → Informational or promotional; no action needed The result? You eliminate inbox noise and gain a clear daily routine: only check what's in Action Required. ⚙️ How It Works: Trigger: Runs on a customizable schedule Fetch Emails: Pulls unread messages from Gmail Classify via GPT-4o: Determines if each email needs action or not Sort Emails: Labels actionable emails as Action Required Labels non-actionable ones as No Action Removes the Inbox label to clean your primary inbox view ✅ Emails stay in your account—just better organized 🚀 How to Use: Import the workflow into your n8n instance Set up Gmail and OpenAI credentials Create Gmail labels: Action Required No Action Activate the workflow Start your day by checking only the Action Required label 📦 Requirements: n8n (self-hosted or cloud) Gmail OAuth2 account OpenAI API key (GPT-4o or GPT-4o-mini) Gmail labels: Action Required, No Action 💡 Why It Matters: Stop manually filtering emails. This workflow helps you focus only on what matters while keeping everything else out of your way—without deleting or archiving anything.

⚠️ Disclaimer This workflow uses a community node: npm install n8n-nodes-supadata Please make sure to install this before running the workflow. 🔎 Who is this for? This workflow is for anyone who wants quick summaries of YouTube videos, such as researchers, students, analysts, or busy professionals. Just send a video link via Telegram and receive a structured summary in seconds—no need to watch the entire video. 🧠 What problem is this workflow solving? Watching long videos to extract key information is time-consuming. This automation solves that by instantly: Fetching the full transcript of the video Summarizing the content with AI Sending a clean summary directly to Telegram for quick reading It’s a fast and reliable way to stay informed without the overwhelm. ⚙️ What this workflow does 💬 Telegram Trigger Start by sending a YouTube link to your Telegram bot. 🎙️ Get Transcript (Supadata) Uses Supadata API to retrieve the full video transcript. 🧠 Summarize with OpenAI GPT-4o Processes the transcript using a structured prompt to extract: Main theme of the video Target audience Key insights and tips Problems discussed and solutions mentioned Notable quotes or highlights 📨 Send to Telegram The final summary is formatted and sent back to your Telegram chat, ready for reading or saving. 🛠️ Requirements n8n instance (Cloud or self-hosted)** Supadata API Key OpenAI API Key Telegram Bot Token ✅ Output Example The Telegram summary includes: 🎯 Title and topic 💡 Key learnings 🛠️ Tips or insights 🚨 Issues raised and solutions 📝 Quotes or highlights Just send a link, and get the core message—fast. Perfect for learning on the go. 🧠📲 Made by: Khaisa Studio Tag: youtube, summarizer, telegram, openai Category: AI Automation, Video Tools Need a custom? contact me on LinkedIn or Web

Description This workflow creates an automated video content pipeline that generates creative TikTok-style videos using AI. It combines OpenAI's GPT-4o-mini for idea generation with Sisif.ai's text-to-video AI technology to produce engaging short-form content automatically. Perfect for: Content creators, social media managers, marketing teams, and anyone who wants to maintain a consistent flow of AI-generated video content without manual intervention. Prerequisites Sisif.ai Account**: Sign up at sisif.ai and get your API token from sisif.ai/api/ OpenAI Account**: Get your API key from OpenAI platform n8n Instance**: Self-hosted or cloud instance How it Works The workflow operates on a scheduled cycle, generating fresh video content every 6 hours: 🤖 AI Idea Generation: OpenAI's GPT-4o-mini acts as a creative video strategist, generating unique, trend-aware video concepts optimized for TikTok and social media 🎬 Video Creation: Sisif.ai transforms each creative prompt into a high-quality 5-second video in 360x640 resolution ⏱️ Smart Monitoring: The workflow intelligently monitors video generation progress, waiting for completion before proceeding 📊 Data Processing: Final video data is structured and prepared for further use or storage Key Features ⚡ Fully Automated Runs every 6 hours without manual intervention Generates 4 unique videos daily (28 videos per week) Self-monitoring with automatic retry logic 🎯 Optimized for Social Media TikTok-perfect 360x640 resolution 5-second duration for maximum engagement Trend-aware content generation Action-packed, visual storytelling 🔧 Smart Architecture Simple HTTP requests for reliable operation Bearer token authentication for secure API access Automatic status checking and waiting logic Error handling and retry mechanisms

Monitor & Archive Keyword Tweets to Airtable 📌 Overview Automatically searches Twitter for any keyword/topic (person, brand, hashtag), filters duplicates, and stores new tweets in Airtable with rich metadata - all on a daily schedule. 🛠️ Workflow Steps ⏰ Schedule Trigger Runs daily at 8 AM (customizable) 🐦 Twitter Search Fetches 100 latest tweets matching your keyword 📦 Reformat Data Structures: Text | Likes | ID | URL Author | Timestamp 🗂️ Fetch Airtable Records Retrieves existing tweet IDs 🔍 Deduplicate Compares IDs to exclude duplicates ➕ Append New Tweets Saves only fresh entries to Airtable 💡 Key Benefits 🤖 Automated Monitoring**: Near real-time tracking 🧹 Clean Data**: Zero duplicate entries 📁 Structured Archive**: Organized metadata for analysis ⚙️ Fully Customizable**: Adapt keywords/schedule/output 🧩 Perfect For Social media analysts tracking brand mentions Journalists monitoring public figures Researchers archiving topic conversations Marketing teams measuring campaign reach 🚀 Getting Started Import into n8n Connect Credentials: Twitter API keys Airtable base + table ID Configure: Search keyword (e.g., "Narendra Modi") Schedule timing Run & Forget: Initial run to backfill Daily auto-archiving ✅ Enhancement Ideas Add Filters: Exclude retweets Filter by language Geolocation targeting Notifications: Slack alerts for new tweets Email digests AI Extensions: Sentiment analysis Auto-categorization Trend reporting

This workflow demonstrates how to use noItemsLeft to check if there are items left to be processed by the SplitInBatches node. Function node: This node generates mock data for the workflow. Replace it with the node whose data you want to split into batches. SplitInBatches node: This node splits the data with the batch size equal to 1. Based on your use-case, set the value of the Batch Size. IF node: This node check if all the data by the SplitInBatches are not processed or not. It uses the expression {{$node["SplitInBatches"].context["noItemsLeft"]}} which returns a boolean value. If there is data yet to be processed, the expression will return false, otherwise true. Set node: This node prints a message No Items Left. Based on your use-case, connect the false output of the IF node to the input of the node you want to execute, after the data is processed by the SplitInBatches node.

Tags: Supply Chain, Logistics, AI Agents Context Hey! I’m Samir, a Supply Chain 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 impacts. >Let’s use N8N to improve logistics operations! 📬 For business inquiries, you can add me on LinkedIn Who is this template for? This workflow template is designed for logistics or manufacturing operations that receive orders by email. The example above illustrate the challenge we want to tackle using an AI Agent to parse the information and load them in a Google sheet. If you want to understand how I built this workflow, check my detailed tutorial: 🎥 Step-by-Step Tutorial How does it work? The workflow is connected to a Gmail Trigger to open all the emails that include Inbound Order in their subject. The email is parsed by an AI Agent equipped with OpenAI's GPT to collect all the information. The results are pulled in a Google Sheet. These orderlines can then be transferred to warehouse teams to prepare *order receiving. What do I need to get started? You’ll need: Gmail and Google Drive Accounts** with the API credentials to access it via n8n An OpenAI API key (GPT-4o) for the chat model. A Google Sheet with these columns: PO_NUMBER, EXPECTED_DELIVERY DATE, SKU_ID, QUANTITY Next Steps Follow the sticky notes in the workflow to configure each node and start using AI to support your logistic operations. 🚀 Curious how N8N can transform your logistics operations? 📬 Let’s connect on LinkedIn Notes An example of email is included in the template so you can try it with your mailbox. This workflow was built using N8N version 1.82.1 Submitted: March 28, 2025