Workflow Templates

This template is a simple AI Agent that acts as a Google Calendar Assistant. It is designed for beginners to have their "first AI Agent" performing common tasks and to help them understand how it works. For new users of n8n, AI Agents, and OpenAI: This template involves using an OpenAI API Key. If you are new to AI Agents, make sure to research and understand key concepts such as: "Tokens"** (used for API requests), "Tool calling"** (how the AI interacts with external tools), OpenAI's usage costs** (how you will be billed for API usage). Functionality It has two main functionalities: Create events** in a calendar Retrieve events** from a calendar How you can use it Everything is explained with sticky notes in the workflow. It is ready-to-use: all you need to do is connect your OpenAI credentials, and you can start using the workflow.

📊 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.

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

Welcome to my Simple OpenAI Image Generator Workflow! This workflow creates an image with the new OpenAI image model "GPT-Image-1" based on a form input. This workflow has the following sequence: Form trigger (image prompt and image size input) Generate the Image via OpenAI API. Return the image to the input form for download. The following accesses are required for the workflow: OpenAI API access: Documentation Instructions Link your OpenAI Platform account in the “OpenAI Image Generation” node ("Credential Type") You can contact me via LinkedIn, if you have any questions: https://www.linkedin.com/in/friedemann-schuetz

This workflow provides automated access to the Ibm Granite Granite 3.3 8B Instruct 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 text generation tasks within your n8n automation workflows. Overview This workflow automatically handles the complete text generation process using the Ibm Granite Granite 3.3 8B Instruct 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: Granite-3.3-8B-Instruct is a 8-billion parameter 128K context length language model fine-tuned for improved reasoning and instruction-following capabilities. Key Capabilities Advanced text generation and processing** Natural language understanding and generation** Intelligent text manipulation and analysis** Tools Used n8n**: The automation platform that orchestrates the workflow Replicate API**: Access to the Ibm Granite/granite-3.3-8b-instruct AI model Ibm Granite Granite 3.3 8B Instruct**: The core AI model for text 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 Text Parameters' node Test the Workflow: Run the workflow with your desired inputs Integrate: Connect this workflow to your existing automation pipelines Use Cases Content Writing**: Generate articles, blogs, and marketing copy Code Generation**: Assist with programming and code documentation Text Analysis**: Process and analyze large volumes of text data Automated Communication**: Generate responses and communication templates 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 #textgeneration #nlp #aiwriting #textai #contentgeneration #aitext #machinelearning #artificialintelligence #aitools #automation #digitalart #contentcreation #productivity #innovation

Turn Your Ideas into Videos—Right from Google Sheets! This workflow helps you make cool 8-second videos using Fal.AI and Veo 3, just by typing your idea into a Google Sheet. You can even choose if you want your video to have sound or not. It’s super easy—no tech skills needed! Why use this? Just type your idea in a sheet—no fancy tools or uploads. Get a video link back in the same sheet. Works with or without sound—your choice! How does it work? You write your idea, pick the video shape, and say if you want sound (true or false) in the Google Sheet. n8n reads your idea and asks Fal.AI to make your video. When your video is ready, the link shows up in your sheet. What do you need? A Google account and Google Sheets connected with service account (check this link for reference) A copy of the following Google Spreadsheet: Spreadsheet to copy An OpenAI API key A Fal.AI account with some money in it That’s it! Just add your ideas and let the workflow make the videos for you. Have fun creating! if you have any questions, just contact me at max@nervoai.com

The workflow is an automated process designed for incident management and tracking, specifically by integrating Splunk alerts with a Jira ticketing system using n8n. The initial step in the workflow is a Webhook Trigger, which is set up to receive POST requests with data from Splunk to initiate the workflow. Once the workflow is triggered, the "Set Host Name" node cleans up the hostname received from Splunk, ensuring that it is alphanumeric for consistency and security purposes. Subsequently, the "Search Ticket" node interacts with Jira through a Jira Query Language (JQL) request to locate any existing issues that match the sanitized hostname. The workflow splits at the "IF Ticket Not Exists" node, which checks for the presence of a key indicating a matching issue. If an issue exists, the workflow proceeds to add a comment to the identified issue, and if not, it creates a new Jira issue. At the false path, the "Add Ticket Comment" node appends a new comment to the existing Jira issue, encapsulating details from the Splunk alert, such as the timestamp and the alert description.

This workflow is designed to intelligently route user queries to the most suitable large language model (LLM) based on the type of request received in a chat environment. It uses structured classification and model selection to optimize both performance and cost-efficiency in AI-driven conversations. It dynamically routes requests to specialized AI models based on content type, optimizing response quality and efficiency. Benefits Smart Model Routing**: Reduces costs by using lighter models for general tasks and reserving heavier models for complex needs. Scalability**: Easily expandable by adding more request types or LLMs. Maintainability**: Clear logic separation between classification, model routing, and execution. Personalization**: Can be integrated with session IDs for per-user memory, enabling personalized conversations. Speed Optimization**: Fast models like GPT-4.1 mini or Gemini Flash are chosen for tasks where speed is a priority. How It Works Input Handling: The workflow starts with the "When chat message received" node, which triggers the process when a chat message is received. The input includes the chat message (chatInput) and a session ID (sessionId). Request Classification: The "Request Type" node uses an OpenAI model (gpt-4.1-mini) to classify the incoming request into one of four categories: general: For general queries. reasoning: For reasoning-based questions. coding: For code-related requests. google: For queries requiring Google tools. The classification is structured using the "Structured Output Parser" node, which enforces a consistent output format. Model Selection: The "Model Selector" node routes the request to one of four AI models based on the classification: Opus 4 (Claude 4 Sonnet): Used for coding requests. Gemini Thinking Pro: Used for reasoning requests. GPT 4.1 mini: Used for general requests. Perplexity: Used for search (Google-related) requests. AI Processing: The selected model processes the request via the "AI Agent" node, which includes intermediate steps for complex tasks. The "Simple Memory" node retains session context using the provided sessionId, enabling multi-turn conversations. Output: The final response is generated by the chosen model and returned to the user. Set Up Steps Configure Trigger: Ensure the "When chat message received" node is set up with the correct webhook ID to receive chat inputs. Define Classification Logic: Adjust the prompt in the "Request Type" node to refine classification accuracy. Verify the output schema in the "Structured Output Parser" node matches expected categories (general, reasoning, coding, google). Connect AI Models: Link each model node (Opus 4, Gemini Thinking Pro, GPT 4.1 mini, Perplexity) to the "Model Selector" node. Ensure credentials (API keys) for each model are correctly configured in their respective nodes. Set Up Memory: Configure the "Simple Memory" node to use the sessionId from the input for context retention. Test Workflow: Send test inputs to verify classification and model routing. Check intermediate outputs (e.g., request_type) to ensure correct model selection. Activate Workflow: Toggle the workflow to "Active" in n8n after testing. Need help customizing? Contact me for consulting and support or add me on Linkedin.

Try It Out! This n8n template helps you create SEO-optimized Blog Posts for your businesses website or for personal use. Whether you're managing a business or helping local restaurants improve their digital presence, this workflow helps you build SEO-Optimized Blog Posts in seconds using Google Autocomplete and People Also Ask (SerpAPI). Who Is It For? This is helpful for people looking to SEO Optimize either another person's website or their own. How It Works? You start with a list of blog inspirations in Google Sheets (e.g., “Best Photo Session Spots”). The workflow only processes rows where the “Status” column is not marked as “done”, though you can remove this condition if you’d like to process all rows each time. The workflow pulls Google Autocomplete suggestions and PAA questions using: A custom-built SEO API I deployed via Render (for Google Autocomplete + PAA), SerpAPI (for additional PAA data). These search insights are merged. For example, if your blog idea is “Photo Session Spots,” the workflow gathers related Google search phrases and questions users are asking. Then, GPT-4 is used to draft a full blog post based on this data. The finished post is saved back into your Google Sheet. How To Use Fill out the “Blog Inspiration” column in your Google Sheet with the topics you want to write about. Update the OpenAI prompt in the ChatGPT node to match your tone or writing style. (Tip: Add a system prompt with context about your business or audience.) You can trigger this manually, or replace it with a cron schedule, webhook, or other event. Requirements A SerpAPI account to get PAA An OpenAI account for ChatGPT Access to Google Sheets and n8n How To Set-Up? Your Google Sheet should have three columns: "Blog Inspiration", "Status" → set this to “done” when a post has been generated, "Blog Draft" → this is automatically filled by the workflow. To use the SerpAPI HTTP Request node: 1. Drag in an HTTP Request node, 2. Set the Method and URL depending on how you're using SerpAPI: Use POST to run the actor live on each request. Use GET to fetch from a static dataset (cheaper if reusing the same data). 3. Add query parameters for your SerpAPI key and input values. 4. Test the node. Refer to this n8n documentation for more help! https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.toolserpapi/. The “Autocomplete” node connects to a custom web service I built and deployed using Render. I wrote a Python script (hosted on GitHub) that pulls live Google Autocomplete suggestions and PAA questions based on any topic you send. This script was turned into an API and deployed as a public web service via Render. Anyone can use it by sending a POST request to: https://seo-api2.onrender.com/get-seo-data (the URL is already in the node). Since this is hosted on Render’s free tier, if the service hasn’t been used in the past ~15 minutes, it may “go to sleep.” When that happens, the first request can take 10–30 seconds to respond while it wakes up. Happy Automating!

Adobe developer API Did you know that Adobe provides an API to perform all sort of manipulation on PDF files : Split PDF, Combine PDF OCR Insert page, delete page, replace page, reorder page Content extraction (text content, tables, pictures) ... The free tier allows up to 500 PDF operation / month. As it comes directly from Adobe, it works often better than other alternatives. Adobe documentation: https://developer.adobe.com/document-services/docs/overview/pdf-services-api/howtos/ https://developer.adobe.com/document-services/docs/overview/pdf-extract-api/gettingstarted/ What does this workflow do The API is a bit painful to use. To perform a transformation on a PDF it requires to Authenticate and get a temporal token Register a new asset (file) Upload you PDF to the registered asset Perform a query according to the transformation requested Wait for the query to be proccessed by Adobe backend Download the result This workflow is a generic wrapper to perform all these steps for any transformation endpoint. I usually use it from other workflow with an Execute Workflow node. Examples are given in the workflow. Example use case This service is useful for example to clean PDF data for an AI / RAG system. My favorite use-case is to extract table as images and forward images to an AI for image recognition / description which is often more accuarate than feedind raw tabular data to a LLM.

Description This workflow automatically generates Facebook ad headlines for your product using OpenAI and evaluates their quality using custom AI-generated criteria. It ensures you get high‑quality, scroll‑stopping headlines without needing a copywriter. Overview This workflow captures a product description via a form, generates a Facebook ad headline, invents a scoring rubric, evaluates the headline against it, and optionally loops for revisions — all autonomously. Ideal for marketers and media buyers looking to scale creative testing. Tools Used n8n**: The automation platform that powers and orchestrates the entire workflow. OpenAI**: Used for headline generation, scoring criteria creation, and evaluation logic. (Optional)** Google Sheets / Notion / Email: For logging approved headlines or sharing results. How to Install Import the Workflow: Download the .json file and import it into your n8n instance. Connect OpenAI: Add your OpenAI credentials to the GPT nodes. Customize the Prompt (optional): Tweak the system prompt inside the Set_PromptForHeadline node. Add Output Handling (optional): Connect the “NO” path in the If_NeedMoreIterations node to Google Sheets, Slack, etc. (Optional) Add loop limits or storage logic to manage iterations or save results. Use Cases Media Buyers**: Generate and test hooks at scale with no creative bottlenecks. Solo Marketers**: Get high-converting headlines even without a copywriter. Agencies**: Streamline copy testing and evaluation in client campaigns. Startup Teams**: Automate creative generation during product launches or A/B tests. Connect with Me Website**: https://www.nofluff.online YouTube**: https://www.youtube.com/@YaronBeen/videos LinkedIn**: https://www.linkedin.com/in/yaronbeen/ Hashtags #n8n #openai #automation #copywriting #facebookads #headlines #aicopy #promptengineering #marketingautomation #nocode #llm #creativeautomation #mediabuying #adtesting #adcreative #marketingtools #digitalmarketing #copytesting #scalablecreative #chatgpt #adhooks #growthmarketing #automatedworkflows #aiworkflow #creativeops #marketingops #growthtools

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.