✨🩷Automated social media content publishing factory + system prompt composition
Social Media Content Publishing Factory for Streamlined Content Creation Across Platforms Who is this for? This workflow is designed for content creators, social media managers, and marketing teams who need to efficiently create and publish content across multiple social media platforms. It's perfect for businesses looking to maintain a consistent presence across X (Twitter), Instagram, Facebook, LinkedIn, Threads, and YouTube Shorts without spending hours crafting platform-specific content manually. What problem is this workflow solving? Creating tailored content for different social media platforms is time-consuming and requires understanding each platform's unique requirements and audience expectations. This workflow solves the challenge of: Maintaining consistent messaging across platforms while respecting platform-specific formats Generating optimized content that follows best practices for each platform Creating accompanying visuals without graphic design skills Streamlining the approval process before publishing Reducing the time spent on repetitive content creation tasks What this workflow does This automated content factory takes your content idea and transforms it into platform-optimized posts for all major social media channels. The workflow: Accepts your content idea or topic through a chat interface Leverages AI to generate tailored content for each platform (X/Twitter, Instagram, Facebook, LinkedIn, Threads, YouTube Shorts) Creates appropriate images using AI image generation Sends content for approval via email before publishing Publishes approved content to selected platforms Maintains chat memory to improve future content generation Setup Connect your social media platform credentials (X/Twitter, Instagram, Facebook, LinkedIn) Set up your email account for the approval process Configure your OpenAI API key for AI content generation Update the image generation service credentials (Pollinations.ai is used by default) Customize the system prompts and schemas in the Google Docs nodes with your brand voice and content requirements How to customize this workflow to your needs Modify the system prompts in the Google Docs nodes to match your brand voice and content strategy Adjust the social media schemas to include specific fields relevant to your content Update the approval process to include additional stakeholders if needed Add or remove social media platforms based on your marketing strategy Customize the image generation prompts to better match your visual branding Integrate with your existing content calendar or CRM systems This workflow eliminates the need to manually craft different versions of the same content for each platform, saving hours of work while ensuring your social media presence remains consistent and optimized for maximum engagement.
By Joseph LePageAutomated DHL shipment tracking bot for web forms and email inquiries
This n8n template automates responses to customer inquiries about DHL shipment status, handling requests from both web forms and emails. Use cases Automate Customer Support: Provide 24/7 instant answers to the common "Where is my order?" question without human intervention. Reduce Support Tickets: Decrease the volume of repetitive tracking inquiries by providing customers with immediate, self-service information. Enhance Customer Experience: Offer a consistent and rapid response across multiple channels (your website and email), allowing customers to use their preferred method of contact. Good to know DHL API Key is required: You'll need to register on the DHL Developer Portal to get your API key. This workflow requires Gmail credentials (OAuth2) to monitor incoming emails and send replies. The webhook URL must be configured in your website's contact or tracking form to receive submissions. How it works The workflow is initiated by one of two triggers: a Webhook (from a website form) or a Gmail Trigger (when a new email arrives). A Merge node combines the data from both triggers into a single, unified flow. The "Extract Tracking Number" Code node intelligently parses the tracking number from either the form data or the email body. It also extracts the customer's name and email address. The HTTP Request node sends the extracted tracking number to the DHL API to fetch the latest shipment status. The "Format Response Message" Code node takes the API response and composes a user-friendly message for the customer. It also handles cases where tracking information is not found. An If node checks the original source of the inquiry to determine whether it came from the webhook or email. If the request came from the webhook, a Respond to Webhook node sends the tracking data back as a JSON response. If the request came from an email, the Gmail node sends the formatted message as an email reply to the customer. How to use Configure the Triggers: Webhook Trigger: Copy the Test URL and set it as the action endpoint for your web form. Once you activate the workflow, use the Production URL. Webhook URL: https://your-n8n-instance.com/webhook/dhl-tracking-inquiry Gmail Trigger: Connect your Gmail account using OAuth2 credentials and set the desired filter conditions (e.g., unread emails with a specific subject). Set up the DHL API: Open the "Get DHL Tracking Status" (HTTP Request) node and navigate to the "Headers" tab. Replace YOURDHLAPI_KEY with your actual DHL API key. json { "DHL-API-Key": "YOURDHLAPI_KEY" } Configure the Gmail Send Node: Connect the same Gmail credentials to the "Send Gmail Response" node. Customize options like the replyTo address as needed. Activate the workflow. Requirements A DHL Developer Portal account to obtain an API key. A Gmail account configured with OAuth2 in n8n. Customising this workflow Add More Carriers: Duplicate the HTTP Request node and response formatting logic to support other shipping carriers like FedEx or UPS. Log Inquiries: Add a node to save inquiry details (tracking number, customer email, status) to a Google Sheet or database for analytics. Advanced Error Handling: Implement more robust error handling, such as sending a Slack notification to your support team if the DHL API is down or returns an unexpected error.
By Yusuke YamamotoGenerate custom AI videos with Digital Avatars using HeyGen API
🎥 n8n Workflow: Generate AI Videos with HeyGen --- 🚀 Overview This automation connects directly to HeyGen's powerful AI video generation platform. It allows you to programmatically create videos with digital avatars and voiceovers, perfect for scaling your content creation for social media, marketing campaigns, or personalized messages without ever opening a video editor. 😩 The Problem Creating video content is incredibly time-consuming and expensive. You have to write scripts, record audio, find actors or create complex animations, piece everything together in an editor, and then wait for it to render. Every minor change or personalization requires repeating the entire frustrating process. This manual work is a major bottleneck, making it nearly impossible to produce large volumes of high-quality video content quickly and affordably. ✨ The Solution This workflow acts as your personal, automated video production assistant! When you provide a script, the automation instantly sends instructions to HeyGen to begin creating your video. It tells the AI which avatar and voice to use and starts the generation process. Then, it cleverly waits and periodically checks the status until your new video is finished and ready. It’s a completely hands-off process that transforms simple text into professional AI videos on demand. 🔧 What It Does Send a request to HeyGen's API to generate a video with: Custom avatar Scripted voice-over Background color and dimension Wait 30 seconds Check video status Loop until video is completed, failed, or still processing ⚙️ Simple Setup This workflow is a pre-built blueprint, designed to be up and running in minutes! Upload: Simply upload the provided JSON file into your n8n instance. Connect: Connect your app credentials (e.g., your HeyGen account). The workflow will show you exactly where. Activate: Turn the workflow on, and it's ready to go! Let your new automated employee get to work. This free n8n workflow allows you to generate AI videos using HeyGen via their API. --- 🌐 Explore more workflows ❤️ Buy more workflows at: adamcrafts 🦾 Custom workflows at: adamcrafts@cloudysoftwares.com adamaicrafts@gmail.com > Build once, customize endlessly, and scale your video content like never before. 🚀
By Abdellah HomraniFlexible currency rate uploads for SAP B1 with AI validation & multiple sources
This workflow automates currency rate uploads into SAP Business One via Service Layer, using flexible input sources such as JSON (API), SQL Server, Google Sheets, or manual values. It leverages logic branching, AI validation, and logging for complete control and traceability. ++⚙️ HOW IT WORKS:++ 🔹 1. Receive Data via Webhook The workflow listens on the endpoint /formulario-datos via HTTP POST. The request body should include: origen: one of JSON, SQL, GoogleSheets, or Manual Depending on the value, the flow branches accordingly. 🔹 2. Authenticate with SAP Business One A POST request is sent to SAP B1’s Login endpoint. A session cookie (B1SESSION) is retrieved and used in all subsequent API calls. 🔹 3. Switch by Origin The flow branches into four processing paths based on origen: JSON: The payload is normalized using OpenAI to extract an array of rates. Each rate is sent to SAP individually after parsing. SQL: The SQL query provided in the payload is executed on a connected Microsoft SQL Server. The results are checked by AI to validate the date format. If valid, rates are sent to SAP. GoogleSheets: Rates are pulled from a connected spreadsheet. Each entry is sent to SAP in sequence. Manual: Uses currency, rate, and rateDate directly from the webhook payload. Sends the result directly to SAP. 🔹 4. AI-Powered Enhancements (Optional but enabled) Normalize JSON: Uses OpenAI (LangChain node) to convert any messy structure into a uniform array under the key rate. Date Formatting: Another OpenAI call ensures RateDate is in yyyyMMdd format (required by SAP), converting from ISO, timestamp, or other formats. 🔹 5. Send to SAP Business One (Service Layer) All paths send a POST request to: /SBOBobService_SetCurrencyRate With a payload such as: { "Currency": "USD", "Rate": "0.92", "RateDate": "20250612" } 🔹 6. Log Results All success/failure results are appended to a Google Sheets log (LOGS_N8N) The log includes method, URL, sent payload, status code, and message. ++🛠 SETUP STEPS:++ 1️⃣ Create Required Credentials: Go to Credentials > + New Credential and configure: SAP Business One (Service Layer) Type: HTTP Request Auth or Token Base URL: https://<your-host>:50000/b1s/v1/ Provide Username, Password, and CompanyDB via variables or fields Google Sheets OAuth2 connection to a Google account with access Microsoft SQL Server SQL login credentials and host OpenAI API key with access to models like GPT-4o 2️⃣ Environment Variables (Recommended) Set these variables in n8n → Settings → Variables: SAP_URL=https://<host>:50000/b1s/v1/ SAPUSER=yourusername SAPPASSWORD=yourpassword SAPCOMPANYDB=your_companyDB 3️⃣ Prepare Google Sheets Sheet 1: RATE (for charging the data) Columns: Currency, Rate, RateDate Sheet 2: LOGS_N8N (to save the logs, success or failed) Columns: workflow, method, url, json, status_code, message 4️⃣ Activate and Test Deploy the webhook and grab the URL. ++✅ BONUS++ Built-in AI assistance for input validation and structure Logs all results for compliance and audit Flexible integration paths: perfect for hybrid or transitional systems
By Raquel GiuglianoDynamic AI model selector with GDPR compliance via Requesty and Google Sheets
Overview This comprehensive n8n workflow provides a sophisticated solution for dynamically selecting and using AI models while maintaining GDPR compliance. It leverages Requesty's European-based AI routing service to ensure data privacy and automatically updates available model options based on real-time API availability. Choose Your Integration Approach Before diving into the setup, it's crucial to understand that this workflow offers two completely independent AI integration approaches: Approach 1: Dynamic HTTP Request Workflow (Advanced) Complete infrastructure with dynamic model selection What it includes: Automatic model discovery from Requesty's API Dynamic dropdown updates in web forms Model selection persistence in Google Sheets Complex workflow orchestration with multiple phases Full control over API parameters and response handling Best for: Teams needing multiple AI models for different tasks Organizations requiring model usage auditing Users who want maximum flexibility and control Advanced n8n users comfortable with complex workflows Setup complexity: High (requires multiple components and configurations) Approach 2: Standalone AI Agent (Simple) Plug-and-play solution without complexity What it includes: Direct use of n8n's native OpenAI Chat Model node Simple configuration: just set base URL to https://router.requesty.ai/v1 Immediate GDPR compliance through European infrastructure No model discovery or selection infrastructure needed Best for: Users wanting quick GDPR-compliant AI integration Single-model use cases Simple chat interfaces Users preferring minimal configuration Setup complexity: Low (5-minute setup) --- Quick Start: Approach 2 (Simple AI Agent) If you want to get started quickly with GDPR-compliant AI, follow these steps: Step 1: Register with Requesty Visit https://www.requesty.ai Complete the registration process Choose "OpenAI-compatible" integration Note your API endpoint: https://router.requesty.ai/v1 Create an API key (name it "n8n Integration") Step 2: Configure n8n Add a new OpenAI credential in n8n Set the base URL to: https://router.requesty.ai/v1 Enter your Requesty API key Add an OpenAI Chat Model node to your workflow Select your Requesty credential Step 3: Test Your AI agent is now ready and GDPR-compliant! All requests will be routed through Requesty's European infrastructure. --- Advanced Setup: Approach 1 (Dynamic HTTP Workflow) For users who need dynamic model selection and advanced features, follow this comprehensive setup: Prerequisites n8n instance (self-hosted or cloud) Requesty API credentials Google Sheets integration Basic understanding of n8n workflows Phase 1: Requesty Account Setup 1.1 Registration Process Navigate to https://www.requesty.ai Sign up with your email address Complete the welcome process 1.2 Integration Configuration Choose Integration Type: Select "OpenAI-compatible" Note API Endpoint: https://router.requesty.ai/v1 Create API Key: Provide a descriptive name (e.g., "n8n Dynamic Workflow") Click "Create API Key" Important: Save this key securely - you'll need it for n8n configuration Phase 2: Google Sheets Preparation 2.1 Create Storage Sheet Create a new Google Sheet named "AI Model Selections" Add the following column: A1: "Selected Model" Note the Google Sheet ID from the URL 2.2 Configure Google Sheets API Enable Google Sheets API in Google Cloud Console Create service account credentials Share your sheet with the service account email Download the credentials JSON file Phase 3: n8n Workflow Configuration 3.1 Import Workflow Download the workflow JSON file Import into your n8n instance Review all nodes and connections 3.2 Configure Credentials Requesty API Credentials: Go to n8n Credentials section Create new HTTP Request credential Set authentication type to "Header Auth" Header name: "Authorization" Header value: "Bearer YOURREQUESTYAPI_KEY" Google Sheets Credentials: Create new Google Sheets credential Upload your service account JSON file Test the connection Google Sheets Nodes: Update sheet ID in all Google Sheets nodes Verify column mappings match your sheet structure Phase 4: Troubleshooting Guide Common Issues and Solutions Models Not Loading: Verify Requesty API credentials Check network connectivity and API endpoint URL Selection Not Persisting: Verify Google Sheets credentials and write permissions Check sheet ID configuration Chat Not Responding: Verify selected model availability Check API request formatting and response processing Debug Procedures Enable debug mode and detailed logging Check node outputs and data flow Validate API calls with external tools Review n8n execution logs Conclusion The choice between approaches depends on your specific requirements: Simple AI Agent: Perfect for straightforward AI integration with minimal setup Dynamic HTTP Workflow: Ideal for complex requirements with multiple models and advanced features
By StefanTransform your selfies into 3D figurines with Nano Banana AI
Transform Your Selfies into 3D Figurines with Nano Banana AI Overview This workflow utilizes the Defapi API with Google's Nano Banana AI model to transform your selfies into stunning 3D figurines, action figures, and collectible merchandise designs. Simply upload a selfie photo, provide a creative prompt describing your desired 3D figurine or action figure design, and watch as AI generates professional-quality product visualizations. Input: Your selfie photo + creative prompt + API key Output: AI-generated 3D figurine and action figure designs perfect for collectibles, merchandise, and product visualization Users can interact through a simple form, providing a text prompt describing the desired creative scene, a product image URL, and their API key. The system automatically submits the request to the Defapi API, monitors the generation status in real time, and retrieves the final creative image output. This solution is ideal for marketers, product designers, e-commerce businesses, and content creators who want to quickly generate compelling product advertisements and creative visuals with minimal setup. Perfect for creating 3D figurines and collectible merchandise designs. Prerequisites A Defapi account and API key: Sign up at Defapi.org to obtain your API key. An active n8n instance (cloud or self-hosted) with HTTP Request and form submission capabilities. Basic knowledge of AI prompts for product creative generation to achieve optimal results, especially for 3D figurines and collectible designs. Example prompt: Create a 1/7 scale commercialized 3D figurine of the characters in the picture, in a realistic style, in a real environment. The figurine is placed on a computer desk. The figurine has a round transparent acrylic base, with no text on the base. The content on the computer screen is the Zbrush modeling process of this figurine. Next to the computer screen is a packaging box with rounded corner design and a transparent front window, the figure inside is clearly visible. A product image for creative generation. Important Note: Avoid using dark photos as input, as the generated 3D figurine will also appear dark. Setup Instructions Obtain API Key: Register at Defapi.org and generate your API key. Store it securely—do not share it publicly. Configure the Form: In the "Upload Image" form trigger node, ensure the following fields are set up: Image (file upload), API Key (text field), and Prompt (text field). Test the Workflow: Click "Execute Workflow" in n8n. Access the generated form URL, upload your product image, enter your prompt, and provide your API key. The workflow will process the image through the "Convert to JSON" node, then send the request to the Defapi API. The system will wait 10 seconds and then poll the API status until the image generation is complete. Handle Outputs: The final "Format and Display Image Results" node formats and displays the generated creative image URL for download or embedding. Workflow Structure The workflow consists of the following nodes: Upload Image (Form Trigger) - Collects user input: image file, API key, and prompt Convert to JSON (Code Node) - Converts uploaded image to base64 and formats data Send Image Generation Request to Defapi.org API (HTTP Request) - Submits generation request Wait for Image Processing Completion (Wait Node) - Waits 10 seconds before checking status Obtain the generated status (HTTP Request) - Polls API for completion status Check if Image Generation is Complete (IF Node) - Checks if status equals 'success' Format and Display Image Results (Set Node) - Formats final image URL output Technical Details API Endpoint: https://api.defapi.org/api/image/gen (POST request) Model Used: google/nano-banana (Nano Banana AI) Status Check Endpoint: https://api.defapi.org/api/task/query (GET request) Wait Time: 10 seconds between status checks Image Processing: Uploaded images are converted to base64 format for API submission Authentication: Bearer token authentication using the provided API key Specialized For: 3D figurines, collectible merchandise, and product visualization Customization Tips Enhance Prompts: Include specifics like scene setting, lighting, style (e.g., realistic, artistic, cinematic), product placement, and visual elements to improve AI creative image quality. For 3D figurines, specify scale, materials, and display context. Form Fields: The form accepts image files (image/*), API key (text), and prompt (text) as required fields. Error Handling: The workflow includes conditional logic to check for successful completion before displaying results. Best Practices for Nano Banana AI: Use detailed descriptions for figurine designs, specify lighting conditions, and include environmental context for realistic 3D figurine generation. Photo Quality Tips: Use well-lit photos for best results. Avoid dark images as they will make the generated 3D figurine appear dark too.
By panyanyanyAggregate crypto and stock market news feed from multiple sources
This n8n template helps in making informed decisions for Crypto and Stocks Trading by helping you keep track of breaking changes in the market. How it works Collects crypto and/or stock market headlines from multiple sources: CoinDesk, CoinTelegraph, Google News, and X (via an RSS proxy). Normalizes all items into a consistent structure with fields like source, kind, title, url, publishedAt, matchedKeywords, media[], and topic. Uses topic-specific keyword lists to keep relevant items and a small spam blacklist to drop giveaways / airdrops / obvious noise. Deduplicates items across runs by tracking previously seen links. Bundles everything into a compact { topic, items[] } JSON payload and sends it to your own backend or UI via HTTP. Set up steps Import the template JSON into a new n8n workflow. In the Init RunConfig code node, choose a default topic (crypto or stocks), which platforms to use (CoinDesk / CoinTelegraph / Google News / X), and optionally adjust tickers and keywords. Open the final HTTP Request - Send to your backend node and: Replace the example URL with your own API endpoint. Either set a x-webhook-secret header that your backend validates, or remove this header entirely if you don’t use it. Create any required credentials (for the webhook header auth and for HTTP requests, if needed) – the template does not contain real API keys. Enable either the Schedule Trigger for periodic runs or the Webhook trigger for on-demand runs from your app. Expect roughly 10–20 minutes to import, configure, and test the first run; detailed per-node notes are available as sticky notes inside the workflow canvas.
By Mohammad AbubakarAnalyze website backlinks with Top Backlink Checker API and Google Sheets logging
Backlink Checker with Google Sheets Logging (Seo) Description: This workflow helps you analyze top backlinks using Semrush API and logs the results directly into Google Sheets for easy SEO tracking and reporting. It integrates the Top Backlink Checker API from RapidAPI, providing in-depth backlink analysis, and combines that with Google Sheets for efficient data storage and tracking. Node-by-Node Explanation: On form submission Captures the website URL submitted by the user through a form. This node triggers the workflow when the form is filled with a website URL. The Top Backlink Checker API (via RapidAPI) is used to check backlinks after this step. Check webTraffic Sends a request to the Top Backlink Checker API to gather traffic data for the submitted website. This includes important metrics like visits, bounce rate, and more, which will later be stored in Google Sheets for analysis. Reformat output Extracts and re-formats the traffic data received from the Top Backlink Checker API. This node cleans and structures the raw data for easier processing, ensuring it is usable for later stages in the workflow. Reformat Processes the backlink data received from the Top Backlink Checker API (RapidAPI). The data is reformatted and structured to be added to Google Sheets for storage, making it easier to analyze. Backlink overview Appends the re-formatted backlink overview data into a Google Sheets document. This stores important backlink information like source URLs, anchor texts, and more, making it available for later analysis and reporting. Backlinks Appends detailed backlink data, including target URLs, anchors, and internal/external links, into Google Sheets. This helps track individual backlinks, their attributes, and page scores, allowing for deeper SEO analysis and reporting. Benefits and Use Cases: Benefits: Backlink Tracking: The integration of the Top Backlink Checker API helps you track all the backlinks associated with a website. You can get insights on the source URL, anchor text, first and last seen, and more. Traffic Insights: By integrating Top Backlink Checker API, this workflow allows you to monitor important website traffic data such as visits, bounce rates, and organic reach, helping with SEO strategies. Automated Google Sheets Logging: All traffic and backlink data is logged automatically into Google Sheets for easy access and future analysis. This avoids manual data entry and ensures consistency. Efficient Workflow: The automation provided by n8n streamlines your SEO analysis workflow, ensuring that data is formatted, structured, and updated without any manual intervention. Use Cases: SEO Reports: Generate regular SEO reports by tracking backlinks and traffic data automatically from Semrush and Top Backlink Checker, saving time and ensuring accurate reporting. Competitor Analysis: Analyze your competitors’ backlinks and traffic to stay ahead in SEO rankings by leveraging data from the Top Backlink Checker API. Backlink Management: Use the data from Top Backlink Checker API to assess the health of backlinks, ensuring that high-value backlinks are tracked, and toxic backlinks are identified for removal or disavow. SEO Campaign Tracking: Monitor how backlinks and website traffic evolve over time to evaluate the effectiveness of your SEO campaigns, keeping all your data in Google Sheets for easy tracking.
By Sk developer Website contact form to Slack with optional email confirmation
This n8n workflow sends a real-time Slack notification when a user submits a contact form on your website. It also optionally sends a confirmation email via either Outlook or Gmail. You can embed the form directly into your website and route all submissions to your preferred Slack channel for quick follow-up. --- ✅ Key Features 🌐 Website Form Trigger: A no-code form that can be embedded directly on your website. ⚡ Slack Integration: Instantly posts lead details to a designated Slack channel. 📧 Email Follow-Up (Optional): Sends a thank-you email to the user via either Gmail or Microsoft Outlook. 🔗 Easy to Connect: Requires minimal setup with OAuth for Slack and email APIs. --- 🧰 What You'll Need Slack Bot Token & Permissions Gmail or Outlook account (optional) n8n instance (cloud or self-hosted) --- 🛠️ Step-by-Step Setup 1️⃣ Embed Contact Form on Website Node: Form Submission on Website What it does: Captures user inputs — Name, Email, and Phone. How to use: Grab the public webhook URL from this node. Embed it as a form action on your website (HTML form or no-code builder). API: None required. Webhook-based. 2️⃣ Send to Slack Node: Slack What it does: Posts a message to your Slack leads channel with submission details. Message format: You have a form submission with these details. Name: {{ Name }} Email: {{ Email }} Phone: {{ Phone }} API: Slack Bot Token (OAuth2) 3️⃣ Optional: Send Confirmation Email Node: Send Email - Gmail Sends email using Gmail API. Node: Send Email - Outlook Sends email using Microsoft Outlook API. Message: Hi {{ Name }}, Thank you for reaching out on our website. We'll be in touch soon! API: Gmail or Microsoft Outlook OAuth2 --- 👤 Created By Robert Breen Automation Consultant | AI Workflow Designer | n8n Expert 📧 rbreen@ynteractive.com 🌐 ynteractive.com 🔗 LinkedIn --- 🏷️ Tags slack lead alerts website form n8n email automation real-time notification lead generation form trigger webhook
By Robert BreenAuto-reply & create Linear tickets from Gmail with GPT-5, gotoHuman & human review
This workflow automatically classifies every new email from your linked mailbox, drafts a personalized reply, and creates Linear tickets for bugs or feature requests. It uses a human-in-the-loop with gotoHuman and continuously improves itself by learning from approved examples. How it works The workflow triggers on every new email from your linked mailbox. Self-learning Email Classifier: an AI model categorizes the email into defined categories (e.g., Bug Report, Feature Request, Sales Opportunity, etc.). It fetches previously approved classification examples from gotoHuman to refine decisions. Self-learning Email Writer: the AI drafts a reply to the email. It learns over time by using previously approved replies from gotoHuman, with per-classification context to tailor tone and style (e.g., different style for sales vs. bug reports). Human Review in gotoHuman: review the classification and the drafted reply. Drafts can be edited or retried. Approved values are used to train the self-learning agents. Send approved Reply: the approved response is sent as a reply to the email thread. Create ticket: if the classification is Bug or Feature Request, a ticket is created by another AI agent in Linear. Human Review in gotoHuman: How to set up Most importantly, install the gotoHuman node before importing this template! (Just add the node to a blank canvas before importing) Set up credentials for gotoHuman, OpenAI, your email provider (e.g. Gmail), and Linear. In gotoHuman, select and create the pre-built review template "Support email agent" or import the ID: 6fzuCJlFYJtlu9mGYcVT. Select this template in the gotoHuman node. In the "gotoHuman: Fetch approved examples" http nodes you need to add your formId. It is the ID of the review template that you just created/imported in gotoHuman. Requirements gotoHuman (human supervision, memory for self-learning) OpenAI (classification, drafting) Gmail or your preferred email provider (for email trigger+replies) Linear (ticketing) How to customize Expand or refine the categories used by the classifier. Update the prompt to reflect your own taxonomy. Filter fetched training data from gotoHuman by reviewer so the writer adapts to their personalized tone and preferences. Add more context to the AI email writer (calendar events, FAQs, product docs) to improve reply quality.
By gotoHumanAutomate property maintenance requests with GPT-4o-mini, Jotform and Gmail
Tired of juggling maintenance calls, lost requests, and slow vendor responses? This workflow streamlines the entire property maintenance process — from tenant request to vendor dispatch — powered by AI categorization and automated communication. Cut resolution time from 5–7 days to under 24 hours and boost tenant satisfaction by 85% with zero manual follow-up. What This Workflow Does Transforms chaotic maintenance management into seamless automation: 📝 Captures Requests – Tenants submit issues via Jotform with unit number, issue description, urgency, and photos. 🤖 AI Categorization – OpenAI (GPT-4o-mini) analyzes and classifies issues (plumbing, HVAC, electrical, etc.). ⚙️ Smart Prioritization – Flags emergencies (leak, electrical failure) and assigns priority. 📬 Vendor Routing – Routes issue to the correct contractor or vendor based on AI category. 📧 Automated Communication – Sends acknowledgment to tenant and work order to vendor via Gmail. 📊 Audit Trail Logging – Optionally logs requests in Google Sheets for performance tracking and reporting. Key Features 🧠 AI-Powered Categorization – Intelligent issue type and priority detection. 🚨 Emergency Routing – Automatically escalates critical issues. 📤 Automated Work Orders – Sends detailed emails with property and tenant info. 📈 Google Sheets Logging – Transparent audit trail for compliance and analytics. 🔄 End-to-End Automation – From form submission to vendor dispatch in seconds. 💬 Sticky Notes Included – Every section annotated for easy understanding. Perfect For Property management companies Real estate agencies and facility teams Smart building operators Co-living and rental startups Maintenance coordinators managing 50–200+ requests monthly What You’ll Need Required Integrations: Jotform – Maintenance request form Create your form for free on Jotform using this link OpenAI (GPT-4o-mini) – Categorization and prioritization Gmail – Automated email notifications (Optional) Google Sheets – Logging and performance tracking Quick Start Import Template – Copy JSON into n8n and import. Create Jotform – Include fields: Tenant name, email, unit number, issue description, urgency, photo upload. Add Credentials – Configure Jotform, Gmail, and OpenAI credentials. Set Vendor Emails – Update “Send to Contractor” Gmail node with vendor email IDs. Test Workflow – Submit sample maintenance requests for AI categorization and routing. Activate Workflow – Go live and let your tenants submit maintenance issues. Expected Results ⏱️ 24-hour average resolution time (vs 5–7 days). 😀 85% higher tenant satisfaction with instant communication. 📉 Zero lost requests – every issue logged automatically. 🧠 AI-driven prioritization ensures critical issues handled first. 🕒 10+ hours saved weekly for property managers. Pro Tips 🧾 Add Google Sheets logging for a complete audit trail. 🔔 Include keywords like “leak,” “no power,” or “urgent” in AI prompts for faster emergency detection. 🧰 Expand vendor list dynamically using a Google Sheet lookup. 🧑🔧 Add follow-up automation to verify task completion from vendors. 📊 Create dashboards for monthly maintenance insights. Learning Resources This workflow demonstrates: AI categorization using OpenAI’s Chat Model (GPT-4o-mini) Multi-path routing logic (emergency vs. normal) Automated communication via Gmail Optional data logging in Google Sheets Annotated workflow with Sticky Notes for learning clarity
By Jitesh DugarAnalyze market demand using GPT-4o, XPOZ MCP, Notion and email reports
📘 Description This workflow performs automated market demand research for a defined niche on a scheduled basis and converts raw public discussions into actionable business insights. It continuously scans search engines and social platforms to identify real customer pain points, unmet needs, buying or switching intent, and dissatisfaction with existing tools or solutions. An AI market research agent analyzes public conversations to filter out noise and extract only high-signal demand indicators. These insights are then transformed into two outputs: a concise Notion-ready research summary for internal knowledge tracking and a professional, customer-ready email that communicates key findings in clear, business-friendly language. Built-in validation and error handling ensure reliability and traceability. This workflow replaces repetitive manual market research with a consistent, insight-driven intelligence pipeline that supports founders, marketers, and growth teams. ⚠️ Deployment Disclaimer This template is intended for self-hosted n8n instances only. It relies on external MCP-based social intelligence tools and advanced AI agents not supported on n8n Cloud. ⚙️ What This Workflow Does (Step-by-Step) ⏰ Scheduled Market Research Trigger Runs automatically on a defined schedule. 🧾 Inject Niche, Query, and Research Context Sets the niche, keywords, and analyst notes to guide research focus. 🔎 Analyze Public Discussions for Market Demand (AI) Scans public search and social platforms to identify real demand signals, pain points, and buying intent. 📡 Public Search & Social Intelligence (MCP Tool) Fetches relevant public discussions for analysis. 🧠 Convert Market Signals into Structured Insights (AI) Transforms raw findings into a Notion-ready summary and a customer-friendly email. 🧹 Parse & Validate AI Output Ensures structured JSON output for safe downstream use. 📘 Save Market Research Insight to Notion Stores summarized insights for long-term research and tracking. 📧 Send Market Insight Email to Stakeholder Delivers a concise, value-focused email highlighting key findings. 🚨 Workflow Error Handler → Email Alert Sends detailed error notifications if any step fails. 🧩 Prerequisites • Self-hosted n8n instance • OpenAI API credentials • MCP (Xpoz) public search & social intelligence credentials • Notion API access • Gmail OAuth credentials 💡 Key Benefits ✔ Automates recurring market research ✔ Identifies real demand and buying intent signals ✔ Produces clean Notion documentation automatically ✔ Generates customer-ready insight emails ✔ Eliminates manual scanning of forums and social media ✔ Built-in error alerts for reliability 👥 Perfect For Startup founders validating ideas Growth and marketing teams Product strategy teams Market research and competitive intelligence teams
By Rahul Joshi