Workflow Templates

📋 Description This template creates an intelligent AI assistant for WhatsApp that can: Respond naturally** to messages using Google Gemini AI Remember previous conversations** for each user Access a knowledge base** for answering frequently asked questions Automatically save** all conversations for long-term memory 🛠️ Requirements 1. WAMM.pro Account (FREE tier available) What is WAMM.pro?** - A platform that enables WhatsApp automation using proprietary API technology Free tier:** 50 messages/month PRO tier:** Unlimited messages + advanced features Link:** wamm.pro 2. Pinecone Account (for AI memory) For storing conversations and knowledge base Free tier available 3. Google AI Account (for Gemini) For the conversational AI model 4. OpenAI Account (for embeddings) For generating memory vectors 🚀 Step-by-step Setup Step 1: WAMM.pro Configuration Create account at wamm.pro Account Manager → Add WhatsApp profile Scan QR code with your WhatsApp Note down: Instance ID and Access Token Step 2: Webhook Configuration In WAMM.pro: Integrations → Webhooks → Messages Webhooks Add Webhook with the n8n URL Required configuration: From others: ✅ Relevant + ✅ Without media + ✅ Exclude no text To others: ✅ Relevant + ✅ Without media + ✅ Exclude no text To myself: ✅ None (to avoid responding to own messages) Step 3: Pinecone Configuration Create 2 indexes: historywa - for conversation memory knowledge - for knowledge base Index settings: Dimensions: 3072 Metric: cosine Embedding model: text-embedding-3-large Step 4: n8n Configuration Configure credentials: WAMM: Instance ID + Access Token Pinecone: API Key Google Gemini: API Key OpenAI: API Key for embeddings 🔧 How it Works Workflow Flow: 📱 WhatsApp Message ↓ (webhook) 🎯 AI Agent (Gemini) ↓ (uses tools) 📚 Memory Tool + Knowledge Tool ↓ (response generated) 📤 WAMM Send Message ↓ (saves) 💾 Pinecone Memory Storage Available AI Tools: Memory Tool - Searches previous conversations with the user Knowledge Tool - Searches the general knowledge base Special Features: Natural conversations** - AI doesn't mention "searching history" Persistent context** - Remembers names, preferences, previous conversations User language detection** - Automatically responds in user's language Organized memory** - Each user has their own memory space 📊 Benefits ✅ Zero maintenance - Runs automatically ✅ Scalable - Supports multiple users simultaneously ✅ Intelligent memory - Uses similarity search for relevant context ✅ Extensible - Easy to add new features ✅ Cost-effective - Free tiers available for all services 🎯 Use Cases Automated customer support** with memory Personal assistant** for WhatsApp Business chatbot** with specific knowledge Conversation automation** with persistent context 🔒 Security Data** stored in Pinecone as vector embeddings No plain text** message storage Each user** has separate memory space API keys** secured in n8n credentials 📈 Possible Extensions CRM** integrations Scheduling** and reminders Advanced multi-language** support Analytics** and conversation reports Custom knowledge bases** per user 💡 Tip: For optimal results, populate the knowledge base with frequently asked questions specific to your business!

Purpose This workflow automatically creates a subscriber in a given Beehiiv publication when a new opt-in is registered in a given Systeme.io sales funnel. Good to know: the integration with Systeme.io is done at the sales funnel level, not at the account level. If you have several sales funnels, you can use the same workflow several times. Quick Setup Configure your sales funnel in Systeme.io to create and trigger a webhook after an opt-in Open the “On New Systeme.io Optin” node to find the webhook URL needed to configure your sales funnel on Systeme.io Configure the “Configure Workflow” node Add your Beehiiv publication ID If you know the subscriber's first and last name and want to send it to Beehiiv, configure the custom field names for first and last name Add one or more email addresses to which to send alert notifications in the event of a problem (separated by commas). If you have not already done so : Connect your Beehiiv account in the “Create New Beehiiv Subscriber” node Connect your Gmail account in the “Send Email Alert (Beehiiv API error)” node How It Works As soon as a new opt-in is registered on your sales funnel, Systeme.io triggers the workflow (via a webhook) Only requests actually coming from Systeme.io are considered (whitelisting of their IP addresses for security reasons) A new subscriber is added to your Beehiiv publication (via an API call) If available in Systeme.io, UTM tags (utm_source, utm_medium and utm_campaign) are transferred to Beehiiv to correctly track where your subscribers are coming from If an error occurs during the Beehiiv API call, an alert notification is sent to you (via email) Requirements A Systeme.io account A Beehiiv account with an active publication A Gmail account Benefits Automate & scale your email marketing efforts seamlessly No more manual tasks to keep your subscriber list always up-to-date Focus on creating a newsletter that stands out, not on the technical side Check Out My Other Templates 👉 https://n8n.io/creators/belmehel/

🤖 AI Cart Recovery Agent: Smart Abandoned Checkout Assistant Transform abandoned carts into recovered sales with intelligent automation. This sophisticated n8n workflow monitors checkout abandonment, implements smart waiting periods, and sends AI-generated personalized recovery emails only when needed - maximizing conversions while respecting customer experience. 🔄 How It Works This intelligent 7-step recovery system recovers lost sales automatically: Step 1: Initial Abandonment Detection The workflow fetches current abandoned checkout data from your e-commerce platform (Shopify, WooCommerce, etc.), identifying customers who added items but didn't complete their purchase. Step 2: Strategic Grace Period Instead of immediately sending recovery emails, the system waits 1 hour (customizable), giving customers natural time to complete their purchase without pressure or interruption. Step 3: Smart Re-verification After the waiting period, the workflow rechecks the abandonment status by fetching updated checkout data, ensuring accuracy before taking action. Step 4: Intelligent Decision Logic Advanced conditional logic compares initial and updated abandonment lists, determining if customers are still abandoned or have completed their purchase during the grace period. Step 5: AI-Powered Email Generation For customers still showing abandonment, GPT generates personalized recovery emails featuring: Customer's actual name for personal connection Specific products left in their cart Friendly, non-pushy messaging tone Optional discount incentives Compelling call-to-action to complete purchase Step 6: Automated Email Delivery Personalized recovery emails are sent directly to abandoned customers via Gmail or your preferred email service, maintaining professional branding and deliverability. Step 7: Comprehensive Activity Logging All recovery attempts are logged in Google Sheets for tracking, including customer details, email content, and campaign performance analytics. ⚙️ Setup Steps Prerequisites E-commerce platform with API access (Shopify, WooCommerce, BigCommerce) OpenAI API key for personalized email generation Gmail or SMTP email service for delivery Google Sheets for activity tracking and analytics n8n instance (cloud or self-hosted) E-commerce Platform Configuration Shopify Setup: API Endpoint: https://your-store.myshopify.com/admin/api/2023-10/checkouts.json Authentication: X-Shopify-Access-Token header Required Permissions: Read checkouts, Read customers Parameters: status=abandoned WooCommerce Setup: API Endpoint: https://your-site.com/wp-json/wc/v3/orders Authentication: Consumer Key/Secret or JWT Parameters: status=pending, status=failed Required Plugins: WooCommerce REST API Configuration Steps 1. Credential Setup E-commerce API**: Store admin API access tokens or keys OpenAI API Key**: GPT-4 access for intelligent email generation Gmail OAuth2**: Professional email delivery service Google Sheets OAuth2**: Activity logging and performance tracking 2. Abandonment Detection Configuration Monitoring Frequency**: Set workflow trigger schedule (hourly, daily) Grace Period Duration**: Customize wait time (default: 1 hour) Platform Integration**: Configure API endpoints for your specific platform Data Filtering**: Set criteria for what constitutes abandonment 3. AI Email Customization Default email generation includes: Personalization Level**: Customer name, product specifics, cart value Tone Customization**: Friendly, urgent, helpful, or premium Discount Integration**: Optional percentage or fixed amount offers Brand Voice**: Maintain consistent company messaging and style 4. Recovery Campaign Settings Email Timing**: Optimal sending times based on customer time zones Frequency Limits**: Prevent over-emailing with cooldown periods Segmentation Rules**: Different approaches for high-value vs standard carts Follow-up Sequences**: Multi-email recovery campaigns with escalating incentives 5. Performance Tracking Setup Analytics Dashboard**: Google Sheets with recovery metrics and ROI Success Tracking**: Monitor completion rates and revenue recovered A/B Testing**: Compare different email approaches and timing Customer Journey**: Track from abandonment through recovery completion 🚀 Use Cases E-commerce Retailers Fashion & Apparel**: Recover high-value clothing and accessory purchases Electronics**: Target abandoned tech purchases with technical support offers Home & Garden**: Remind customers about seasonal or home improvement items Beauty & Cosmetics**: Recover abandoned skincare and makeup purchases Subscription & SaaS Businesses Software Trials**: Convert abandoned trial signups into paid subscriptions Membership Sites**: Recover incomplete membership purchases Online Courses**: Re-engage learners who abandoned course purchases Digital Services**: Follow up on abandoned service bookings or consultations B2B E-commerce Office Supplies**: Recover bulk order abandonments with volume discounts Industrial Equipment**: Follow up on high-value equipment quote requests Professional Services**: Re-engage businesses that abandoned service bookings Software Licenses**: Recover enterprise software purchase abandonments Specialty Retailers Luxury Goods**: Provide white-glove service for high-value abandoned purchases Custom Products**: Follow up on personalized or custom order abandonments Seasonal Items**: Time-sensitive recovery for holiday or event-specific products Limited Edition**: Create urgency for exclusive or limited availability items Service-Based Businesses Travel & Hospitality**: Recover abandoned hotel, flight, or package bookings Event Tickets**: Re-engage customers who abandoned concert or event purchases Professional Services**: Follow up on abandoned consultation or service bookings Fitness & Wellness**: Recover abandoned membership or class package purchases 🔧 Advanced Customization Options Multi-Platform Integration Extend beyond single platform monitoring: Shopify Plus: Advanced checkout analytics and customer segmentation WooCommerce: Custom post-purchase and abandonment tracking Magento: Enterprise-level cart recovery with customer journey mapping BigCommerce: API-driven recovery with advanced personalization Custom Platforms: Webhook-based abandonment detection and recovery Intelligent Email Sequencing Create sophisticated recovery campaigns: Progressive Incentives**: Escalating discounts over multiple touchpoints Behavioral Triggers**: Different emails based on cart value, customer history Seasonal Campaigns**: Holiday-specific recovery messaging and offers Win-Back Sequences**: Long-term customer re-engagement beyond immediate recovery Advanced Personalization Enhance AI-generated content with: Purchase History Analysis**: Reference previous purchases and preferences Browsing Behavior**: Include recently viewed items and categories Geographic Personalization**: Local offers, shipping options, or store locations Demographic Targeting**: Age, gender, or interest-based messaging customization Performance Optimization Implement advanced tracking and optimization: Revenue Attribution**: Track exact recovery amounts and ROI calculations Customer Lifetime Value**: Prioritize high-value customer recovery efforts Conversion Funnel Analysis**: Identify optimal timing and messaging strategies Predictive Analytics**: Use ML to predict recovery likelihood and optimize approaches 📊 Recovery Email Examples Fashion Retailer Example: Subject: You left something stylish behind, Sarah! Hi Sarah, I noticed you were checking out those gorgeous items in your cart earlier - the Bohemian Summer Dress and Classic Leather Handbag have been waiting for you! I completely understand if you got busy or needed time to think it over. These pieces are still available and ready to ship to you today. Since you showed such great taste in selecting these items, I'd love to offer you 10% off your order to make the decision easier. Just use code WELCOME10 at checkout. Your cart includes: • Bohemian Summer Dress (Size M) - $89.99 • Classic Leather Handbag (Brown) - $156.99 Complete your purchase now and get free shipping to your door! [Complete My Purchase] Best regards, The StyleHub Team P.S. These items are popular and inventory is limited - don't wait too long! Software/SaaS Example: Subject: Your ProductivityPro trial is waiting, Mike Hi Mike, You were just one step away from unlocking the full power of ProductivityPro for your team at TechStartup Inc. I noticed you explored our Premium Plan features - the advanced reporting and team collaboration tools that could streamline your workflow and boost productivity by up to 40%. Since you invested time exploring our platform, I'd like to offer you an exclusive 25% discount on your first year. This offer is valid for the next 48 hours. Your selected plan: • ProductivityPro Premium (5 users) - $99/month • With 25% discount: $74/month (Save $300/year!) Ready to transform your team's productivity? [Activate My Account] Questions? Reply to this email or schedule a quick 15-minute demo call. Best regards, David Chen Customer Success Manager, ProductivityPro High-Value B2B Example: Subject: Your equipment quote is ready for approval, Jennifer Hi Jennifer, Thank you for your interest in our Industrial Packaging System for ManuCorp's new facility expansion. I understand that equipment investments of this scale require careful consideration and stakeholder alignment. Your configured system includes: • Model X5000 Packaging Line - $45,000 • Installation & Training Package - $8,000 • Extended 3-Year Warranty - $3,500 Total Investment: $56,500 Given the scope of your project, I'd like to extend our Q1 promotion pricing, which provides: 15% discount on equipment ($6,750 savings) Free installation supervision ($2,000 value) Expedited 6-week delivery This brings your total to $48,750 - a savings of $7,750. I'm available for a brief call to address any technical questions or help facilitate internal approvals. [Accept Quote & Proceed] Best regards, Robert Martinez Senior Sales Engineer Industrial Solutions Inc. Direct: (555) 123-4567 🛠️ Troubleshooting & Best Practices Common Issues & Solutions API Rate Limiting Implement exponential backoff for API requests Stagger workflow execution times across different stores Monitor API usage and upgrade plans as needed Cache frequently accessed data to reduce API calls Email Deliverability Challenges Use authenticated SMTP services with proper SPF/DKIM setup Monitor sender reputation and email engagement metrics Implement opt-out mechanisms and respect unsubscribe requests Segment email lists and avoid over-emailing customers False Positive Recoveries Extend grace periods for complex checkout processes Implement more sophisticated abandonment detection logic Add customer behavior analysis before triggering recovery Create exception rules for technical checkout failures Optimization Strategies Recovery Timing Optimization A/B test different grace period durations (30 min, 1 hour, 3 hours) Analyze customer behavior patterns to optimize sending times Consider time zone differences for global customer bases Implement seasonal timing adjustments for holidays and events Content Personalization Enhancement Continuously refine AI prompts based on successful recoveries Implement dynamic discount strategies based on cart value Create customer segment-specific messaging approaches Add urgency elements for time-sensitive or limited inventory items Performance Measurement Track recovery rates, revenue impact, and customer satisfaction Implement cohort analysis for long-term customer value impact Monitor email engagement metrics and optimize accordingly Calculate true ROI including customer acquisition costs and lifetime value 📈 Success Metrics Recovery Performance Indicators Recovery Rate**: Percentage of abandoned carts successfully recovered Revenue Recovery**: Total dollar amount recovered from abandoned purchases Email Engagement**: Open rates, click rates, and conversion rates Time to Recovery**: Average time from abandonment to completed purchase Business Impact Measurements ROI Calculation**: Revenue recovered vs workflow operational costs Customer Retention**: Impact on long-term customer relationships Average Order Value**: Effect on overall purchase values post-recovery Operational Efficiency**: Automation savings vs manual recovery efforts 📞 Questions & Support Need help implementing your AI Cart Recovery Agent? 📧 E-commerce Automation Expert Support Email**: Yaron@nofluff.online Response Time**: Within 24 hours on business days Specialization**: E-commerce automation, cart recovery optimization, AI email personalization 🎥 Comprehensive Implementation Resources YouTube Channel**: https://www.youtube.com/@YaronBeen/videos Complete setup guides for major e-commerce platforms Advanced AI email personalization techniques Recovery campaign optimization strategies Integration tutorials for Shopify, WooCommerce, and custom platforms Performance tracking and analytics implementation 🤝 E-commerce Automation Community LinkedIn**: https://www.linkedin.com/in/yaronbeen/ Connect for ongoing e-commerce automation support and consulting Share your cart recovery success stories and ROI achievements Access exclusive templates for different industry verticals Join discussions about e-commerce automation trends and innovations 💬 Support Request Guidelines Include in your support message: Your e-commerce platform and current cart abandonment rates Average order values and customer segments you serve Current recovery processes and conversion challenges Integration requirements with existing marketing tools Specific technical errors or workflow execution issues

Who this is for? This workflow enables automated, scalable collection of high-quality, AI-ready data from websites using Bright Data’s Web Unlocker, with a focus on preparing that data for LLM training. Leveraging LLM Chains and AI agents, the system formats and extracts key information, then stores the structured embeddings in a Pinecone vector database. This workflow is tailored for:​ ML Engineers & Researchers building or fine-tuning domain-specific LLMs. AI Startups needing clean, structured content for product training. Data Teams preparing knowledge bases for enterprise-grade AI apps. LLM-as-a-Service Providers sourcing dynamic web content across niches. What problem is this workflow solving? Training a large language model (LLM) requires vast amounts of clean, relevant, and structured data. Manual collection is slow, error-prone, and lacks scalability. This workflow: Automatically extracts web data from specified URLs. Bypasses anti-bot measures using Bright Data’s Web Unlocker. Formats, cleans, and transforms raw content using LLM agents. Stores semantically searchable vectors in Pinecone. Makes datasets AI-ready for fine-tuning, RAG, or domain-specific training. What this workflow does This workflow automates the process of collecting, cleaning, and vectorizing web content to create structured, high-quality datasets that are ready to be used for LLM (Large Language Model) training or retrieval-augmented generation (RAG). Web Crawling with Bright Data Web Unlocker. AI Information Extraction and Data Formatting. AI Data Formatting to produce a JSON structured data. Persistence in Pinecone Vector DB. Handle Webhook notification of structured data. Setup Sign up at Bright Data. Navigate to Proxies & Scraping and create a new Web Unlocker zone by selecting Web Unlocker API under Scraping Solutions. In n8n, configure the Header Auth account under Credentials (Generic Auth Type: Header Authentication). The Value field should be set with the Bearer XXXXXXXXXXXXXX. The XXXXXXXXXXXXXX should be replaced by the Web Unlocker Token. A Google Gemini API key (or access through Vertex AI or proxy). Update the LinkedIn URL by navigating to the Set LinkedIn URL node. Update the Set Fields - URL and Webhook URL node with the URL for web data extraction and the Webhook notification URL. How to customize this workflow to your needs Set Your Target URLs. Target sites that are high-quality, domain-specific, and relevant to your LLM's purpose. Adjust Bright Data Web Unlocker Settings. Geo-location, Headers / User-Agent strings, Retry rules and proxies. Modify the Information Extraction Logic. Change prompts to extract specific attributes. Use structured templates or few-shot examples in prompts. Swap the Embedding Model. Use OpenAI, Hugging Face or other your own hosted embedding model API. Customize Pinecone Metadata Fields. Store extra fields in Pinecone for better filtering & semantic querying. Add Data Validation or Deduplication. Skip duplicates or low-quality content.

Set Up ElevenLabs Voice Chat Agent using Graph RAG Knowledge Graphs as Experts This workflow creates an AI voice chatbot agent that has access to several knowledge bases at the same time (used as "experts"). These knowledge bases are provided using the InfraNodus GraphRAG using the knowledge graphs and providing high-quality responses without the need to set up complex RAG vector store workflows. We use ElevenLabs to set up a voice agent that can be embedded to any website or used via their API. The advantages of using GraphRAG instead of the standard vector stores for knowledge are: Easy and quick to set up (no complex data import workflows needed) and to update with new knowledge A knowledge graph has a holistic overview of your knowledge base Better retrieval of relations between the document chunks = higher quality responses Ability to reuse in other n8n workflows How it works This template uses the n8n AI agent node as an orchestrating agent that decides which tool (knowledge graph) to use based on the user's prompt. The user's prompt is received from the ElevenLabs Conversational AI agent via an n8n Webhook, which also takes care of the voice interaction. The response from n8n is then sent to the Webhook, which is polled by the ElevenLabs voice agent. This agent processes the response and provides the final answer. Here's a description step by step: The user submits a question using ElevenLabs voice interface The question is sent via the knowledge_base tool in ElevenLabs to the n8n Webhook with the POST request containing the user's prompt and sessionID for Chat Memory node in n8n. The n8n AI agent node checks a list of tools it has access to. Each tool has a description of the knowledge auto-generated by InfraNodus (we call each tool an "expert"). The n8n AI agent decides which tool should be used to generate a response. It may reformulate user's query to be more suitable for the expert. The query is then sent to the InfraNodus HTTP node endpoint, which will query the graph that corresponds to that expert. Each InfraNodus GraphRAG expert provides a rich response that takes the whole context into account and provides a response from each expert (graph) along with a list of relevant statements retrieved using a combination or RAG and GraphRAG. The n8n AI Agent node integrates the responses received from the experts to produce the final answer. The final answer is sent back to the Webhook endpoint ElevenLabs conversational AI agent picks up the response arriving from the knowledge_base tool via the webhook and then condenses it for conversational format and transforms text into voice. How to use You need an InfraNodus GraphRAG API account and key to use this workflow. Create an InfraNodus account Get the API key at https://infranodus.com/api-access and create a Bearer authorization key for the InfraNodus HTTP nodes. Create a separate knowledge graph for each expert (using PDF / content import options) in InfraNodus For each graph, go to the workflow, paste the name of the graph into the body name field. Keep other settings intact or learn more about them at the InfraNodus access points page. Once you add one or more graphs as experts to your flow, add the LLM key to the OpenAI node and launch the workflow You will also need to set up an ElevenLabs account and to set up a conversational AI agent there. See the Post note in the n8n workflow for a complete step-by-step description or our support article on setting up ElevenLabs AI voice agent Once the voice AI agent is ready, you might want to combine it with a text AI chatbot workflow so your users have a choice between the text and voice interaction. In that case, you may be interested to use our free open-source website popup chat widget popupchat.dev where you can create an embed code to add to your blog or website and allow the user to choose between the text and voice interaction. Requirements An InfraNodus account and API key An OpenAI (or any other LLM) API key An ElevenLabs account FAQ 1. How many "experts" should I aim for? We recommend to aim for the number of experts as the optimal number of people in a team, which is usually 2-7. If you add more experts, your AI orchestrating agent will have troubles choosing the most suitable "expert" tool for the user's query. You can mitigate this by specifying in the AI agent description that it can choose maximum 3-7 experts to provide a response. 2. Why use InfraNodus GraphRAG and not standard vector store for knowledge? First, vector stores are complex to set up and to update. You'd need a separate workflow for that, decide on the vector dimensions, add metadata to your knowledge, etc. With InfraNodus, you have a complete RAG / GraphRAG solution under the hood that is easy to set up and provides high-quality responses that takes the overall structure and the relations between your ideas into account. 3 Why not use ElevenLabs' own knowledge? One of the reasons is that you want your knowledge base to be in one place so you can reuse it in other n8n workflows. Another reason is that you will not have such a good separation between the "experts" when you converse with the agent. So the answers you get will be based on top matches from all the books / articles you upload, while with the InfraNodus GraphRAG setup you can better control which graphs are consulted as experts and have an explicit way to display this data. Customizing this workflow You can use this same workflow with a Telegram bot, so you can interact with it using Telegram. There are many more customizations available on our GitHub repo for n8n workflows. Check out the complete setup guide for this workflow at https://support.noduslabs.com/hc/en-us/articles/20318967066396-How-to-Build-a-Text-Voice-AI-Agent-Chatbot-with-n8n-Elevenlabs-and-InfraNodus Also check out the video tutorial with a demo:

Try It Out! This n8n template creates a fully automated Instagram content schedule using AI and Google Sheets. It is perfect for content creators, marketing teams, or local businesses looking to organize and scale their social media posting. How it works The workflow starts by reading two sets of inputs from a Google Sheet: Your content strategy inputs (Pillar, Objective, Frequency, Format, Structure, Examples). A list of scraped blog posts with title, URL, and description (fetched from your website). Blog posts are scraped using Apify and parsed to extract key fields, which are stored in a tab labeled "Input (blog month)". You can assign a preferred posting month for each blog (e.g. fall blog posts get tagged for September). The workflow then merges both inputs and extracts the relevant information for further information added by ChatGPT. AI Scheduling & Personalization Once merged, the workflow loops through each content item and: Identifies if the scheduled post falls on or near a holiday (like Mother’s Day) and adjusts the content accordingly. A reference tool is attached to guide structure and tone, based on a library of post examples. Sends the content to an AI Agent (using GPT-4, but customizable) that generates: A compelling Instagram caption A visual description Hashtags Suggested post date, day, content pillar, and format (carousel, reel, image, etc.) Output All generated content including captions, structure, dates, hashtags, and pillar is exported into a tab titled Output in your Google Sheet. The final schedule is ready for manual review, editing, or publishing to social media. How to use The workflow uses a manual trigger to start, but you can replace it with a Webhook, cron job, or form submission. Add/edit your content strategy in Google Sheets. How to Set-Up Initial Input Tab Define your content pillars and structure Create a tab named "Input" or "Strategy" Include these columns: Pillar: e.g., Family images Objective: e.g., Showcase images Frequency: e.g., Bi-weekly Content Form: e.g., Images, Reels Structure: brief description of expected layout (e.g., carousel Q&A, singular photo) Examples: prompts or questions to guide AI (e.g., Why do you think families should do a session?) Input (blog month) Tab – Store scraped blog content Include these columns: URL: direct link to blog post Title: blog post title Description: short summary of the post Preferred Month: month you want it posted (e.g., August, September) This sheet is partially auto-filled by the workflow (except for Preferred Month) Output Tab – Final scheduled content Include these columns: Date: scheduled posting date (YYYY-MM-DD) Day: day of the week Pillar: content category assigned Format: e.g., Images, Reels, Carousel Description: visual summary Caption: Instagram-ready caption Hashtags: complete hashtag block To use the Apify HTTP Request node: Drag in an HTTP Request node into your n8n workflow. Set the Method and URL based on how you're using Apify: Use POST if you want to run an actor live with dynamic input (e.g. scrape blog posts in real time). Use GET if you want to retrieve results from a completed or static dataset run (faster and cheaper if you're reusing previous data). Configure query or body parameters: Include your Apify API token for authentication (e.g. token=YOUR_API_KEY) For POST: include an input object with any required actor settings (e.g., blog URL to scrape). For GET: specify the dataset ID in the URL Test the node to ensure you're retrieving the blog titles, descriptions, and URLs as expected. Requirements Apify account for scraping blog posts OpenAI key (e.g. GPT-4) or another model of your choice Google Sheets Credentials Example Use Cases A photographer repurposing blogs into Instagram carousels A nonprofit automatically generating seasonal posts A small team managing multi-pillar content across weeks or months Need Help? Join the n8n Discord or ask in the n8n Forum! Happy Content Making ! 📅✨

Use Case Automate chat interactions in Bitrix24 with a customizable bot that can handle various events and respond to user messages. What This Workflow Does Processes incoming webhook requests from Bitrix24 Handles authentication and token validation Routes different event types (messages, joins, installations) Provides automated responses and bot registration Manages secure communication between Bitrix24 and external services Setup Instructions Configure Bitrix24 webhook endpoints Set up authentication credentials Customize bot responses and behavior Deploy and test the workflow

Smart Customer Support AI Agent with Gmail and Telegram Who is this for? This workflow is perfect for: Small to medium businesses** looking to automate customer support E-commerce stores** handling order inquiries and customer questions SaaS companies** providing technical support to users Service providers** managing appointment bookings and general inquiries Startups** wanting to provide 24/7 customer service without hiring full-time staff Agencies** managing client communications across multiple channels What problem is this workflow solving? Customer support is essential but resource-intensive. Common challenges include: Slow response times** leading to frustrated customers Repetitive questions** consuming valuable staff time Inconsistent responses** across different support agents Limited availability** outside business hours Scaling support costs** as business grows Context loss** when customers switch between channels This workflow eliminates these pain points by providing instant, consistent, and intelligent responses 24/7. What this workflow does Core Functionality Multi-Channel Monitoring: Simultaneously watches Gmail and Telegram for customer inquiries Intelligent Processing: Uses AI to understand customer intent and context Knowledge Base Integration: Accesses your company's FAQ and support information Contextual Responses: Provides personalized, helpful replies maintaining conversation history Smart Escalation: Automatically escalates complex issues to human agents Comprehensive Logging: Tracks all interactions for analytics and improvement AI Agent Capabilities Natural Language Understanding**: Comprehends customer questions in plain English Context Awareness**: Remembers previous conversations with each customer Knowledge Retrieval**: Searches your knowledge base for accurate information Response Generation**: Creates professional, brand-appropriate responses Escalation Decision**: Identifies when human intervention is needed Multi-Channel Support**: Handles Gmail and Telegram with channel-specific formatting Automation Features Auto-Response**: Replies to customers within seconds Email Management**: Marks processed emails as read Conversation Threading**: Maintains context in email threads and Telegram chats Error Handling**: Gracefully handles failures with admin notifications Analytics Tracking**: Logs interactions for performance monitoring Setup Prerequisites Active Google Workspace or Gmail account Telegram account for bot creation OpenAI API access Google Sheets access n8n instance (cloud or self-hosted) Step 1: Credential Setup Gmail OAuth2 Configuration Go to Google Cloud Console Create new project or select existing one Enable Gmail API Create OAuth 2.0 credentials Add authorized redirect URIs for n8n In n8n: Settings → Credentials → Add Gmail OAuth2 Enter Client ID and Client Secret Complete OAuth flow Telegram Bot Setup Message @BotFather on Telegram Create new bot with /newbot command Choose bot name and username Copy the bot token In n8n: Settings → Credentials → Add Telegram Enter bot token Set webhook URL in bot settings OpenAI API Configuration Sign up at OpenAI Platform Generate API key in API Keys section In n8n: Settings → Credentials → Add OpenAI Enter API key Choose appropriate model (gpt-4o-mini recommended) Google Sheets Setup Use existing Google account from Gmail setup In n8n: Settings → Credentials → Add Google Sheets OAuth2 Complete authorization flow Step 2: Google Sheets Preparation Create three Google Sheets in your Google Drive: Knowledge Base Sheet Sheet Name**: "Knowledge Base" Columns**: ID, Category, Question/Topic, Answer/Response, Keywords, Last_Updated Import sample data from the Knowledge Base example Customize with your company's FAQs and policies Escalation Tracker Sheet Sheet Name**: "Escalations" Columns**: Timestamp, Customer_Name, Customer_Contact, Inquiry_Summary, Escalation_Reason, Priority, Status, Assigned_To This will be auto-populated by the AI agent Interaction Log Sheet Sheet Name**: "Interaction Log" Columns**: Timestamp, Channel, Customer_Name, Customer_Contact, Inquiry_Subject, Customer_Message, AI_Response, Response_Time, Status This tracks all customer interactions for analytics Step 3: Workflow Configuration Import Template Copy the workflow JSON from the template In n8n: Import workflow from JSON Replace placeholder Sheet IDs with your actual Google Sheet IDs Update Sheet References Open each Google Sheets node Select your created sheets from the dropdown Verify column mappings match your sheet structure Customize AI Prompts Edit the "Customer Support AI Agent" node Update system message with: Your company name and description Brand voice and tone guidelines Specific policies and procedures Escalation criteria Configure Error Notifications (Optional) Set up Slack webhook or email notifications Update error notification node with your webhook URL Customize error message format Step 4: Testing Test Gmail Integration Send test email to your support Gmail account Check workflow execution in n8n Verify response is sent and email marked as read Check interaction logging in Google Sheets Test Telegram Integration Send message to your Telegram bot Verify bot responds appropriately Test conversation memory with follow-up messages Check escalation functionality with complex request Test Knowledge Base Ask questions covered in your knowledge base Verify AI retrieves and uses correct information Test with variations of the same question Ensure responses are consistent and helpful How to customize this workflow to your needs Brand Voice Customization Update the AI system prompt to include: Your company's tone (formal, casual, friendly) Key phrases and terminology you use Brand personality traits Communication style preferences Knowledge Base Expansion Add industry-specific FAQs Include product documentation Add troubleshooting guides Create category-specific responses Escalation Rules Customize when to escalate by modifying the AI agent instructions: Billing disputes over $X amount Technical issues requiring developer help Angry or dissatisfied customers Requests outside standard services Legal or compliance questions Additional Channels Extend the workflow to support: Slack**: Add Slack triggers and response nodes WhatsApp**: Integrate WhatsApp Business API Web Chat**: Add webhook triggers for website chat Discord**: Connect Discord bot integration Analytics Enhancement Add sentiment analysis to customer messages Implement customer satisfaction scoring Create automated reporting dashboards Set up alert thresholds for escalation rates Integration Opportunities CRM Integration**: Connect to HubSpot, Salesforce, or Pipedrive Ticketing System**: Link to Zendesk, Freshdesk, or Jira Service Desk E-commerce Platform**: Integrate with Shopify, WooCommerce, or Magento Calendar Booking**: Connect to Calendly or Acuity for appointment scheduling Advanced Features Multi-language Support**: Add translation capabilities Voice Messages**: Integrate speech-to-text for Telegram voice notes Image Recognition**: Process customer screenshots for technical support Proactive Outreach**: Send follow-up messages based on customer behavior Workflow Maintenance Daily Tasks Review escalation queue Monitor error notifications Check response quality in interaction log Weekly Reviews Analyze customer interaction patterns Update knowledge base with new common questions Review escalation reasons and optimize AI prompts Monthly Optimization Export interaction data for detailed analysis Calculate key metrics (response time, resolution rate, escalation rate) Update AI model parameters based on performance Expand knowledge base with seasonal or trending topics Key Metrics to Track Response Time**: Average time from customer message to AI response Resolution Rate**: Percentage of inquiries resolved without escalation Customer Satisfaction**: Based on follow-up surveys or sentiment analysis Escalation Rate**: Percentage of conversations requiring human intervention Channel Performance**: Effectiveness of Gmail vs Telegram vs other channels Knowledge Base Usage**: Which topics are accessed most frequently Peak Hours**: When customers contact support most often Troubleshooting Common Issues Gmail not triggering**: Check OAuth permissions and API quotas Telegram bot not responding**: Verify bot token and webhook configuration AI responses seem off**: Review and update system prompts Escalations not logging**: Check Google Sheets permissions and column mapping High escalation rate**: Expand knowledge base and refine AI instructions Performance Optimization Monitor OpenAI API usage and costs Adjust AI model temperature for response consistency Optimize knowledge base for faster searches Set appropriate conversation memory limits This workflow provides a solid foundation for automated customer support that can be extensively customized to match your specific business needs and grow with your company.

This advanced agent analyzes long-term price action in the Binance Spot Market using 1-day candles. It calculates key macro indicators like RSI, MACD, BBANDS, EMA, SMA, and ADX to identify high-confidence trend setups and market momentum. Used by the Quant AI system for directional bias and macro-level signal validation. 🎥 Watch Tutorial: 🎯 Purpose Detect major trend reversals, consolidation zones, and macro bias Support long-term swing trading decisions Provide reliable 1-day signals for downstream agents 🧠 Core Features | Feature | Description | | --------------------------- | ------------------------------------------------------------ | | 🔁 Trigger | Called by parent workflows via Execute Workflow | | 📥 Input Format | { "message": "MATICUSDT", "sessionId": "telegram_id" } | | 📡 Webhook Call | Sends request to internal 1d indicators webhook | | 🧮 Technical Indicators | RSI, MACD, BBANDS, EMA, SMA, ADX (based on 40 daily candles) | | 🧠 GPT (gpt-4.1-mini) Agent | Interprets numerical data into human-readable trend signals | | 💬 Output | Summary suitable for Telegram or further agent consumption | 🔗 External Tools Called https://treasurium.app.n8n.cloud/webhook/1d-indicators Sends: { "symbol": "SOLUSDT" } 📊 Indicator Calculations | Indicator | Purpose | | -------------- | ------------------------------- | | RSI (14) | Overbought / Oversold Signals | | MACD (12,26,9) | Trend Reversals / Momentum | | BBANDS (20, 2) | Volatility Expansion | | EMA (20) | Short-Term Trend Confirmation | | SMA (20) | Macro-Level Support/Resistance | | ADX (14) | Trend Strength + Directional DI | 📦 Setup Import the JSON into n8n. Add your OpenAI API credentials. Ensure webhook /1d-indicators is connected and working. Use this agent as a sub-workflow in: Binance SM Financial Analyst Tool Binance Spot Market Quant AI Agent 📤 Output Example 📅 1D Overview – MATICUSDT • RSI: 71 → Overbought • MACD: Bearish Cross forming • BBANDS: Widening Volatility • EMA < SMA → Downtrend Momentum • ADX: 33 → High Trend Strength 📌 Notes Not user-facing — outputs are structured JSON or Telegram-style summaries. Pairs well with shorter timeframe tools (15m–4h) for confidence stacking. 🧾 Licensing & Attribution © 2025 Treasurium Capital Limited Company Architecture, prompts, and trade report structure are IP-protected. No unauthorized rebranding permitted. 🔗 Need help? Reach out on LinkedIn – Don Jayamaha

Who is this for? This workflow is designed for HR professionals, employer branding teams, talent acquisition strategists, market researchers, and business intelligence analysts who want to monitor, understand, and act upon employee sentiment and company perception on Glassdoor. It's ideal for organizations that value real-time feedback, are tracking employer brand perception, or need summarized insights for leadership reporting without sifting through thousands of raw reviews. What problem is this workflow solving? Manually reviewing and analyzing Glassdoor reviews is tedious, subjective, and not scalable especially for larger companies or those with many subsidiaries. This workflow: Automates review collection by making a Glassdoor company request via the Bright Data Web Scrapper API. Uses Google Gemini to summarize the content. Sends an actionable summary to HR dashboards, leadership teams, or alert systems via the Webhook notification. What this workflow does Makes an HTTP Request to Glassdoor via the Bright Data Web Scrapper API. Polls the BrightData Glassdoor for the completion of the request. Downloads the Glassdoor response when a new snapshot is ready. Sends the prompt to Google Gemini for summarization. Delivers the summarized insights (strengths, weaknesses, sentiment, patterns) to a configured webhook or dashboard endpoint. Setup Sign up at Bright Data. Navigate to Proxies & Scraping and create a new Web Unlocker zone by selecting Web Unlocker API under Scraping Solutions. In n8n, configure the Header Auth account under Credentials (Generic Auth Type: Header Authentication). The Value field should be set with the Bearer XXXXXXXXXXXXXX. The XXXXXXXXXXXXXX should be replaced by the Web Unlocker Token. A Google Gemini API key (or access through Vertex AI or proxy). A webhook or endpoint to receive the summary (e.g., Slack, Notion, or custom HR dashboard). How to customize this workflow to your needs Change Summary Focus by updating the Summarization of Glassdoor Response node Summarization methods and prompts to extract specific insights: Cultural feedback Leadership issues Compensation comments Exit motivation Update the HTTP Request to Glassdoor node with a specific Glassdoor Company information that you are looking for. Format the output to produce a customized summary to Markdown or HTML for rich delivery. Integrate with HR Systems BambooHR, Workday, SAP SuccessFactors via API. Google Sheets or Airtable

This automated n8n workflow continuously monitors airline schedule changes by fetching real-time flight data, comparing it with stored schedules, and instantly notifying both internal teams and affected passengers through multiple communication channels. The system ensures stakeholders are immediately informed of any flight delays, cancellations, gate changes, or other critical updates. Good to Know Flight data accuracy depends on the aviation API provider's update frequency and reliability Critical notifications (cancellations, major delays) trigger immediate passenger alerts via SMS and email Internal Slack notifications keep operations teams informed in real-time Database logging maintains a complete audit trail of all schedule changes The system processes only confirmed schedule changes to avoid false notifications Passenger notifications are sent only to those with confirmed tickets for affected flights How It Works Schedule Trigger - Automatically runs every 30 minutes to check for flight schedule updates Fetch Airline Data - Retrieves current flight information from aviation APIs Get Current Schedules - Pulls existing schedule data from the internal database Process Changes - Compares API data with database records to identify schedule changes Check for Changes - Determines if any updates require processing and notifications Update Database - Saves schedule changes to the internal flight database Notify Slack Channel - Sends operational updates to the flight operations team Check Urgent Notifications - Identifies critical changes requiring immediate passenger alerts Get Affected Passengers - Retrieves contact information for passengers on changed flights Send Email Notifications - Dispatches detailed schedule change emails via SendGrid Send SMS (Critical Only) - Sends urgent text alerts for cancellations and major delays Update Internal Systems - Syncs changes with other airline systems via webhooks Log Sync Activity - Records all synchronization activities for audit and monitoring Data Sources The workflow integrates with multiple data sources and systems: Aviation API (Primary Data Source) Real-time flight status and schedule data Departure/arrival times, gates, terminals Flight status (on-time, delayed, cancelled, diverted) Aircraft and route information Internal Flight Database flight_schedules table - Current schedule data with columns: flight_number (text) - Flight identifier (e.g., "AA123") departure_time (timestamp) - Scheduled departure time arrival_time (timestamp) - Scheduled arrival time status (text) - Flight status (active, delayed, cancelled, diverted) gate (text) - Departure gate number terminal (text) - Terminal identifier airline_code (text) - Airline IATA code origin_airport (text) - Departure airport code destination_airport (text) - Arrival airport code aircraft_type (text) - Aircraft model updated_at (timestamp) - Last update timestamp created_at (timestamp) - Record creation timestamp passengers table - Passenger contact information with columns: passenger_id (integer) - Unique passenger identifier name (text) - Full passenger name email (text) - Email address for notifications phone (text) - Mobile phone number for SMS alerts notification_preferences (json) - Communication preferences created_at (timestamp) - Registration timestamp updated_at (timestamp) - Last profile update tickets table - Booking and ticket status with columns: ticket_id (integer) - Unique ticket identifier passenger_id (integer) - Foreign key to passengers table flight_number (text) - Flight identifier flight_date (date) - Travel date seat_number (text) - Assigned seat ticket_status (text) - Status (confirmed, cancelled, checked-in) booking_reference (text) - Booking confirmation code fare_class (text) - Ticket class (economy, business, first) created_at (timestamp) - Booking timestamp updated_at (timestamp) - Last modification timestamp sync_logs table - Audit trail and system logs with columns: log_id (integer) - Unique log identifier workflow_name (text) - Name of the workflow that created the log total_changes (integer) - Number of schedule changes processed sync_status (text) - Status (completed, failed, partial) sync_timestamp (timestamp) - When the sync occurred details (json) - Detailed log information and changes error_message (text) - Error details if sync failed execution_time_ms (integer) - Processing time in milliseconds Communication Channels Slack - Internal team notifications SendGrid - Passenger email notifications Twilio - Critical SMS alerts Internal webhooks - System integrations How to Use Import the workflow into your n8n instance Configure aviation API credentials (AviationStack, FlightAware, or airline-specific APIs) Set up PostgreSQL database connection with required tables Configure Slack bot token for operations team notifications Set up SendGrid API key and email templates for passenger notifications Configure Twilio credentials for SMS alerts (critical notifications only) Test with sample flight data to verify all notification channels Adjust monitoring frequency and severity thresholds based on operational needs Monitor sync logs to ensure reliable data synchronization Requirements API Access Aviation data provider (AviationStack, FlightAware, etc.) SendGrid account for email delivery Twilio account for SMS notifications Slack workspace and bot token Database Setup PostgreSQL database with flight schedule tables Passenger and ticket management tables Audit logging tables for tracking changes Infrastructure n8n instance with appropriate node modules Reliable internet connection for API calls Proper credential management and security Customizing This Workflow Modify the Process Changes node to adjust change detection sensitivity, add custom business rules, or integrate additional data sources like weather or airport operational data. Customize notification templates in the email and SMS nodes to match your airline's branding and communication style. Adjust the Schedule Trigger frequency based on your operational requirements and API rate limits.

This n8n template allows you to perform real-time currency conversions by simply sending a webhook request. By integrating with the ExchangeRate.host API, you can get up-to-date exchange rates for over 170 world currencies, making it an incredibly useful tool for financial tracking, e-commerce, international business, and personal budgeting. 🔧 How it works Receive Conversion Request Webhook: This node acts as the entry point for the workflow, listening for incoming POST requests. It's configured to expect a JSON body containing: from: The 3-letter ISO 4217 currency code for the source currency (e.g., USD, PHP). to: The 3-letter ISO 4217 currency code for the target currency (e.g., EUR, JPY). amount: The numeric value you want to convert. Important: The ExchangeRate.host API access_key is handled securely by n8n's credential system and should not be included in the webhook body or headers. Convert Currency: This node makes an HTTP GET request to the ExchangeRate.host API (api.exchangerate.host). It dynamically constructs the URL using the from, to, and amount from the webhook body. Your API access key is securely retrieved from n8n's pre-configured credentials (HTTP Query Auth type) and automatically added as a query parameter (access_key). The API then performs the conversion and returns a JSON object with the conversion details. Respond with Converted Amount: This node sends the full currency conversion result received from ExchangeRate.host back to the service that initiated the webhook. 👤 Who is it for? This workflow is ideal for: E-commerce Platforms: Display prices in local currencies on the fly for international customers. Convert incoming international payments to your local currency for accounting. Calculate shipping costs in different currencies. Financial Tracking & Budgeting Apps: Update personal or business budgets with converted values. Track expenses incurred in foreign currencies. Automate portfolio value conversion for multi-currency investments. International Business & Freelancers: Generate invoices in a client's local currency based on your preferred currency. Quickly estimate project costs or earnings in different currencies. Automate reconciliation of international transactions. Travel Planning: Convert travel expenses from one currency to another while abroad. Build simple tools to estimate costs for trips in different countries. Data Analysis & Reporting: Standardize financial data from various sources into a single currency for unified reporting. Build dashboards that display converted financial metrics. Custom Integrations: Connect to CRMs, accounting software, or internal tools to automate currency-related tasks. Build chatbots that can answer currency conversion queries. 📑 Data Structure When you trigger the webhook, send a POST request with a JSON body structured as follows: { "from": "USD", "to": "PHP", "amount": 100 } The workflow will return a JSON response similar to this (results will vary based on currencies and amount): { "date": "2025-06-03", "historical": false, "info": { "rate": 58.749501, "timestamp": 1717398188 }, "query": { "amount": 100, "from": "USD", "to": "PHP" }, "result": 5874.9501, "success": true } ⚙️ Setup Instructions Get an ExchangeRate.host Access Key: Go to https://exchangerate.host/ and sign up for a free API key. Create an n8n Credential for ExchangeRate.host: In your n8n instance, go to Credentials. Click "New Credential" and search for "HTTP Query Auth". Set the Name (e.g., ExchangeRate.host API Key). Set API Key to your ExchangeRate.host access key. Set Parameter Name to access_key. Set Parameter Position to Query. Save the credential. Import Workflow: In your n8n editor, click "Import from JSON" and paste the provided workflow JSON. Configure ExchangeRate.host API Node: Double-click the Convert Currency node. Under "Authentication", select "Generic Credential Type". Choose "HTTP Query Auth" as the Generic Auth Type. Select the credential you created (e.g., "ExchangeRate.host API Key") from the dropdown. Configure Webhook Path: Double-click the Receive Conversion Request Webhook node. In the 'Path' field, set a unique and descriptive path (e.g., /convert-currency). Activate Workflow: Save and activate the workflow. 📝 Tips This workflow is a powerful starting point. Here's how you can make it even more robust and integrated: Robust Error Handling: Add an IF node after Convert Currency to check {{ $json.success }}. If false, branch to an Error Trigger node or send an alert (e.g., Slack, Email) with {{ $json.error.info }} to notify you of API issues or invalid inputs. Include a Try/Catch block to gracefully handle network issues or malformed responses. Input Validation & Defaults: Add a Function node after the webhook to validate if from, to, and amount are present and in the correct format. If not, return a clear error message to the user. Set default from or to currencies if they are not provided in the webhook, making the API more flexible. Logging & Auditing: After a successful conversion, use a Google Sheets, Airtable, or database node (e.g., PostgreSQL, MongoDB) to log every conversion request, including the input currencies, amount, converted result, date, and possibly the calling IP (from the webhook headers). This is crucial for financial auditing and analysis. Rate Limits & Caching: If you anticipate many requests, be mindful of ExchangeRate.host's API rate limits. You can introduce a Cache node to store recent conversion results for a short period, reducing redundant API calls for common conversions. Alternatively, add a Delay node to space out requests if you're hitting limits. Format & Rounding: Use a Function node or Set node to format the result to a specific number of decimal places (e.g., {{ $json.result.toFixed(2) }}). Add currency symbols or full currency names to the output for better readability. Alerting on Significant Changes: Chain this workflow with a Cron or Schedule node to periodically fetch exchange rates for a pair you care about (e.g., USD to EUR). Use an IF node to compare the current rate with a previously stored rate. If the change exceeds a certain percentage, send an alert via Slack, Email, or Telegram to notify you of significant market shifts. Integration with Payment Gateways: For e-commerce, combine this with nodes for payment gateways (e.g., Stripe, PayPal) to automatically convert customer payments received in foreign currencies to your base currency before recording. Multi-currency Pricing for Products: Use this workflow in conjunction with your product database. When a user selects a different country/currency, trigger this webhook to dynamically convert product prices and display them instantly.