Workflow Templates

About This Template This workflow creates high-quality, text-rich advertising banners from simple LINE messages. It combines Google Gemini (for marketing-focused prompt engineering) and Nano Banana Pro (accessed via Kie.ai API) to generate images with superior text rendering capabilities. It also handles the asynchronous API polling required for high-quality image generation. How It Works Input: Users send a banner concept via LINE (e.g., "Coffee brand, morning vibe"). Prompt Engineering: Gemini optimizes the request into a detailed prompt, specifying lighting, composition, and Japanese catch-copy placement. Async Generation: The workflow submits a job to Nano Banana Pro (Kie API) and intelligently waits/polls until the image is ready. Hosting: The final image is downloaded and uploaded to a public AWS S3 bucket. Delivery: The image is pushed back to the user on LINE. Who It’s For Marketing teams creating A/B test assets. Japanese market advertisers needing accurate text rendering. Developers looking for an example of Async API Polling patterns in n8n. Requirements n8n** (Cloud or Self-hosted). Kie.ai API Key** (for Nano Banana Pro model). Google Gemini API Key**. AWS S3 Bucket** (Public access enabled). LINE Official Account** (Messaging API). Setup Steps Credentials: Configure the "Header Auth" credential for the Kie.ai nodes (Header: Authorization, Value: Bearer YOUR_API_KEY). AWS: Ensure your S3 bucket allows public read access so LINE can display the image. Webhook: Add the production webhook URL to your LINE Developers console.

📄 Smart Lead Capture, Scoring & Slack Alerts This workflow captures new leads from Typeform, checks for duplicates in HubSpot CRM, enriches and scores them, assigns priority tiers (Cold, Warm, Hot), and instantly notifies your sales team in Slack. 🔧 How It Works Typeform Trigger → Monitors form submissions and passes lead details into the workflow. HubSpot Deduplication → Searches HubSpot by email before creating a new record. Conditional Routing → If no match → Creates a new contact in HubSpot. If match found → Updates the existing contact with fresh data. Lead Scoring (Function Node) → Custom JavaScript assigns a score based on your rules (e.g. company email, job title, engagement signals, enrichment data). Tier Assignment → Categorizes the lead as ❄️ Cold, 🌡 Warm, or 🔥 Hot based on score thresholds. Slack Notification → Sends formatted lead alerts to a dedicated sales channel with priority indicators. 👤 Who Is This For? Sales teams who need to prioritize hot leads in real-time. Marketing teams running inbound lead capture campaigns with Typeform. RevOps teams that want custom scoring beyond HubSpot defaults. Founders/SMBs looking to tighten lead-to-revenue pipeline with automation. 💡 Use Case / Problem Solved ❌ Duplicate contacts clogging HubSpot CRM. ❌ Manual lead triage slows down response time. ❌ HubSpot’s default scoring is rigid. ✅ Automates lead creation + scoring + notification in one flow. ✅ Sales teams get immediate Slack alerts with context to act fast. ⚙️ What This Workflow Does Captures lead data directly from Typeform. Cleans & deduplicates contacts before pushing to HubSpot CRM. Scores and categorizes leads via custom logic. Sends structured lead alerts to Slack, tagged by priority. Provides a scalable foundation you can extend with data enrichment (e.g., Clearbit, Apollo). 🛠️ Setup Instructions 🔑 Prerequisites Typeform account with API access → Typeform Developer Docs HubSpot CRM account with API key or OAuth → HubSpot API Docs Slack workspace & API access → Slack API Docs (Optional) n8n automation platform to build & run → n8n Hub 📝 Steps to Configure Typeform Node (Trigger) Connect your Typeform account in n8n. Select the form to track submissions. Fields typically include: first name, last name, email, company, phone. HubSpot Node (Search Contact) Configure a search by email. Route outcomes: Not Found → Create Contact Found → Update Contact HubSpot Node (Create/Update Contact) Map Typeform fields into HubSpot (email, name, phone, company). Ensure you capture both standard and custom properties. Function Node (Lead Scoring) Example JavaScript: // Simple lead scoring example const email = $json.email || ""; let score = 0; if (email.endsWith("@company.com")) score += 30; if ($json.company && $json.company.length > 2) score += 20; if ($json.phone) score += 10; let tier = "❄️ Cold"; if (score >= 60) tier = "🔥 Hot"; else if (score >= 30) tier = "🌡 Warm"; return { ...$json, leadScore: score, leadTier: tier }; Customize rules based on your GTM strategy. Reference → n8n Function Node Docs Slack Node (Send Message) Example Slack message template: 🚀 New Lead Alert! 👤 {{ $json.firstname }} {{ $json.lastname }} 📧 {{ $json.email }} | 🏢 {{ $json.company }} 📊 Score: {{ $json.leadScore }} — {{ $json.leadTier }} Send to dedicated #sales-leads channel. Reference → Slack Node in n8n 📌 Notes & Extensions 🔄 Add enrichment with Clearbit or Apollo.io before scoring. 📊 Use HubSpot workflows to trigger nurturing campaigns for ❄️ Cold leads. ⏱ For 🔥 Hot leads, auto-assign to an SDR using HubSpot deal automation. 🧩 Export data to Google Sheets or Airtable for analytics.

🔗 Automated Blockchain Transaction Audit System Transform your blockchain compliance workflow with this enterprise-grade automation that monitors transactions across Ethereum and Solana networks, automatically generates professional audit reports, and maintains complete documentation trails. 🚀 What This Workflow Does This comprehensive automation system: 📊 Multi-Chain Monitoring**: Real-time transaction tracking for Ethereum (via Alchemy API) and Solana networks 🤖 AI-Powered Risk Analysis**: Intelligent scoring algorithm that evaluates transaction risk (0-100 scale) 📄 Automated PDF Generation**: Professional audit reports created instantly using APITemplate.io ☁️ Cloud Storage Integration**: Seamless uploads to Google Drive with organized folder structure 📋 Database Management**: Automatic Notion database entries for complete audit trail tracking 📧 Smart Notifications**: Multi-channel alerts to finance teams with detailed transaction summaries 🔒 Compliance Verification**: Built-in KYC/AML checks and regulatory compliance monitoring 💼 Perfect For FinTech Companies** managing blockchain transactions DeFi Protocols** requiring audit documentation Enterprise Finance Teams** handling crypto compliance Blockchain Auditors** automating report generation Compliance Officers** tracking regulatory requirements 🛠 Key Integrations Alchemy API** - Ethereum transaction monitoring Solana RPC** - Native Solana network access APITemplate.io** - Professional PDF report generation Google Drive** - Secure cloud document storage Notion** - Comprehensive audit database Email/SMTP** - Multi-recipient notification system Etherscan/Solscan** - Smart contract verification ⚡ Technical Highlights 10 Optimized Nodes** with parallel processing capabilities Sub-30 Second Processing** for complete audit cycles Enterprise Security** with credential management Error Handling** with automatic retry mechanisms Scalable Architecture** supporting 1000+ transactions/hour Risk Scoring Algorithm** with customizable parameters 📊 Business Impact 80% Cost Reduction** in manual audit processes 95% Error Elimination** through automation 100% Compliance Coverage** with immutable audit trails 70% Time Savings** for finance teams 🔧 Setup Requirements Before using this workflow, ensure you have: Alchemy API key for Ethereum monitoring APITemplate.io account with audit report template Google Drive service account with folder permissions Notion workspace with configured audit database SMTP credentials for email notifications Etherscan API key for contract verification 📈 Use Cases Transaction Compliance Monitoring**: Automatic flagging of high-risk transactions Regulatory Reporting**: Scheduled audit report generation for authorities Internal Auditing**: Complete documentation for financial reviews Risk Management**: Real-time scoring and alert systems Multi-Chain Portfolio Tracking**: Unified reporting across blockchain networks 🎯 Why Choose This Workflow This isn't just another blockchain monitor - it's a complete document management ecosystem that transforms raw blockchain data into professional, compliant documentation while maintaining enterprise-grade security and scalability. Perfect for organizations serious about blockchain compliance and audit trail management! 🚀 🔄 Workflow Process Webhook Trigger receives blockchain event Parallel Monitoring queries Ethereum & Solana networks AI Processing analyzes transaction data and calculates risk Document Generation creates professional PDF audit reports Multi-Channel Distribution uploads to Drive, logs in Notion, sends notifications Verification & Response confirms all processes completed successfully Ready to automate your blockchain compliance? Import this workflow and transform your audit processes today! ✨

⚙️ Automated Stripe Failed Payment Recovery (with Postmark + AI Email Generator) Recover failed Stripe subscription payments with AI-personalized emails sent via Postmark. 📝 Template Description Recover failed subscription payments automatically with Stripe, Postmark, and AI. This workflow listens for Stripe invoice.payment_failed webhooks, checks that the event is related to an auto-charged subscription, and then automatically sends a personalized email (generated with AI) to the customer. The email is polite, branded, but also urgent — encouraging the customer to pay quickly and avoid service cancellation. 🛠️ How it works 📣 Webhook Listens for Stripe webhook events. Make sure to connect it in your Stripe dashboard (see setup below). 🧹 Filter (Guard) Ensures the event is indeed an invoice event and filters out unrelated webhooks. 💡 Code Node Extracts useful fields (firstName, lastName, customer email, amount, currency, invoice number, hosted invoice URL, subscription description, account name). ✅ If Node Verifies that: Event type = invoice.payment_failed Billing reason = subscription_cycle Collection method = charge_automatically 👉 This ensures only recurring subscription invoices with auto-payment are processed. 🤖 AI Agent + OpenAI Generates a ready-to-send email JSON (to, subject, HTML body) using the extracted Stripe data. ✍️ You can customize the prompt here to match your brand’s tone of voice and style. 🧩 Code Parser Parses the AI model’s JSON output into fields (to_email, email_subject, email_body). 📧 HTTP Request (Postmark) Sends the email using Postmark’s API. You’ll need your own Postmark Server Token, From address, and Message Stream. 🚀 Setup Instructions 1. Stripe Webhook Go to Stripe Dashboard → Developers → Webhooks. Click + Add endpoint. Use your n8n Webhook URL (from the Webhook node) as the endpoint. Select event type: invoice.payment_failed. Save and deploy. 👉 Example docs: Stripe: Listen to events with webhooks. 2. Disable Stripe’s Default Failed Payment Emails In Stripe, go to Billing → Settings → Customer emails → Manage failed payments. Turn off “Failed payment” emails under the Revenue Recovery section. This prevents customers from receiving duplicate or conflicting emails. 3. Postmark Setup Create a Postmark account. Add a Server and copy the Server API Token. In n8n, add Postmark credentials with this token. Configure: From = your verified sending email (must be verified in Postmark). MessageStream = typically "outbound" (or any custom stream you set up). Docs: Postmark API overview. 4. OpenAI Setup Add your OpenAI credentials in n8n. Attach them to the OpenAI Chat Model node. You can modify the prompt in the AI Agent node to fit your company’s style. ✨ Customization Tips Update the AI prompt with your brand’s tone of voice (friendly, formal, playful, etc.). Adjust the HTML email design inside the prompt (button colors, footer, etc.). Add extra guard conditions (e.g., only trigger if invoice_amount > 0). Change the sending service: replace Postmark with Gmail, SMTP, or another provider. 💬 Or talk to our Billing Recovery Experts at flycode.com for hands-on help. ✅ Outcome Whenever a customer’s subscription payment fails, this workflow: Detects it instantly via Stripe Generates a polite but urgent recovery email Sends it automatically via Postmark Result: Fewer cancellations, higher recovered revenue, and a smoother customer experience. 💸💌

Overview This workflow converts a single topic into a full blog article through a structured multi-step process. Instead of generating everything in one pass, it breaks the task into clear stages to produce cleaner structure, better SEO consistency, and more predictable output quality. How this workflow differs from asking ChatGPT directly It does not produce an article in one step. It separates the process into two focused stages: outline generation and paragraph expansion. This approach gives you more control over tone, SEO, structure, and keyword placement. How it works 1. Generate outline The workflow sends your topic to an AI Agent. It returns a structured outline based on the topic, desired depth, language, and keyword focus. 2. Expand each subtopic The workflow loops through each outline item. Every subtopic is expanded into a detailed, SEO-friendly paragraph. Output is consistent and optimized for readability. 3. Produce final outputs Combines all expanded sections into: A clean JSON object A Markdown version ready for blogs or CMS The JSON includes: Title HTML content Markdown content You can send this directly to REST APIs such as WordPress, Notion, or documentation platforms. Content is validated for readability and typically scores well in tools like Yoast SEO. Uses GPT-4o Mini by default, with average token usage between 2000 and 3000 depending on outline size. Use cases Auto-generate long-form articles for blogs or content marketing. Turn Instagram or short-form scripts into complete SEO articles. Create documentation or educational content using consistent templates. Setup steps 1. Prepare credentials Add your OpenAI API Key inside n8n’s credential manager. 2. Adjust input parameters Topic or main idea Number of outline items Language Primary keyword Tone or writing style (optional) 3. Customize the workflow Switch the model if you want higher quality or lower token usage. Modify the prompt for the outline or paragraph generator to match your writing style. Add additional nodes if you want to auto-upload the final article to WordPress, Notion, or any API. 4. Run the workflow Enter your topic Execute the workflow Retrieve both JSON and Markdown outputs for immediate publishing If you need help expanding this into a full content pipeline or want to integrate it with other automation systems, feel free to customize further.

GPT-4o Resume Screener with Error Handling - Google Sheets & Drive Pipeline How it works Enterprise-grade resume screening automation built for production environments. This workflow combines intelligent AI analysis with comprehensive error handling to ensure reliable processing of candidate applications. Every potential failure point is monitored with automatic recovery and notification systems. Core workflow steps: Intelligent Email Processing - Monitors Gmail with attachment validation and file type detection Robust File Handling - Multi-format support with upload verification and extraction validation Quality-Controlled AI Analysis - GPT-4o evaluation with output validation and fallback mechanisms Verified Data Extraction - Contact and qualification extraction with data integrity checks Dual Logging System - Success tracking in main dashboard, error logging in separate audit trail Error Recovery Features: Upload failure detection with retry mechanisms Text extraction validation with quality thresholds AI processing timeout protection and fallback responses Data validation before final logging Comprehensive error notification and tracking system Set up steps Total setup time: 25-35 minutes Core Credentials Setup (8 minutes) Gmail OAuth2 with attachment permissions Google Drive API with folder creation rights Google Sheets API with read/write access OpenAI API key with GPT-4o model access Primary Configuration (12 minutes) Configure monitoring systems - Set up Gmail trigger with error detection Establish file processing pipeline - Create Drive folders for resumes and configure upload validation Deploy dual spreadsheet system - Set up main tracking sheet and error logging sheet Initialize AI processing - Configure GPT-4o with structured output parsing and timeout settings Customize job requirements - Update role specifications and scoring criteria Error Handling Setup (10 minutes) Configure error notifications - Set administrator email for failure alerts Set up error logging spreadsheet - Create audit trail for failed processing attempts Customize timeout settings - Adjust processing limits based on expected file sizes Test error pathways - Validate notification system with sample failures Advanced Customization (5 minutes) Modify validation thresholds for resume quality Adjust AI prompt for industry-specific requirements Configure custom error messages and escalation rules Set up automated retry logic for transient failures Production-Ready Features: Comprehensive logging for compliance and auditing Graceful degradation when services are temporarily unavailable Detailed error context for troubleshooting Scalable architecture for high-volume processing Template Features Enterprise Error Management Multi-layer validation at every processing stage Automatic error categorization and routing Administrative alerts with detailed context Separate error logging for audit compliance Timeout protection preventing workflow hangs Advanced File Processing Upload success verification before processing Text extraction quality validation Resume content quality thresholds Corrupted file detection and handling Format conversion error recovery Robust AI Integration GPT-4o processing with output validation Structured response parsing with error checking AI timeout protection and fallback responses Failed analysis logging with manual review triggers Retry logic for transient API failures Production Monitoring Real-time error notifications via email Comprehensive error logging dashboard Processing success/failure metrics Failed resume tracking for manual review Audit trail for compliance requirements Data Integrity Controls Pre-logging validation of all extracted data Missing information detection and flagging Contact information verification checks Score validation and boundary enforcement Duplicate detection and handling Designed for HR departments and recruiting agencies that need reliable, scalable resume processing with enterprise-level monitoring and error recovery capabilities.

Who this is for This workflow is built for recruiters, HR professionals, talent acquisition teams, and AI-powered recruitment startups who need to analyze LinkedIn profiles at scale. It’s ideal for anyone looking to turn raw LinkedIn data into structured, ATS-ready candidate profiles and summarized professional insights automatically. What problem this workflow solves Recruiters spend countless hours manually reviewing LinkedIn profiles, extracting details like experience, skills, education, and crafting summaries for ATS or reporting. This process is time-consuming, inconsistent, and error-prone. This workflow automates that process — from profile scraping to data structuring and AI-driven summarization, allowing recruiters to instantly generate standardized talent profiles. What this workflow does The workflow integrates Decodo, Google Gemini, and Google Sheets to perform automated LinkedIn talent profiling. Here’s how it works step-by-step: Input Setup The workflow begins when the user executes it manually or passes a LinkedIn profile URL. The input includes url (LinkedIn profile link) and geo (location, e.g., India). Profile Extraction with Decodo The Decodo node scrapes structured data from the LinkedIn profile (headline, experience, skills, education, etc.). Output: Detailed text-based content of the LinkedIn profile. AI Processing and Enrichment (Google Gemini) Structured Data Extractor Node parses the scraped data into JSON Resume Schema using Gemini AI. The Summarize Content Node uses Gemini AI to produce a short, professional summary of the candidate’s profile. The two Gemini nodes ensure both structured and human-readable data formats are available. JSON Parsing & Merging The Code Node cleans and parses the JSON output from the AI for reliable downstream use. The Merge Node combines both structured profile data and the AI-generated summary. Data Storage in Google Sheets The Google Sheets Node appends or updates the record, storing the structured JSON and summary into a connected spreadsheet. This creates a live repository of candidate profiles with summaries for quick access or ATS integration. End Output A unified, machine-readable profile in JSON + an executive-level summary suitable for HR review or downstream automation. Setup Instructions Prerequisites n8n account** with workflow editor access Decodo API credentials** - You need to register, login and obtain the Basic Authentication Token via Decodo Dashboard Google Gemini (PaLM) API access** Google Sheets OAuth credentials** Setup Steps Import the workflow into your n8n instance. Configure Credentials Add your Decodo API credentials in the Decodo node. Connect your Google Gemini (PaLM) credentials for both AI nodes. Authenticate your Google Sheets account. Edit Input Node In the Set the Input Fields node, replace the default LinkedIn URL with your desired profile or dynamic data source. Run the Workflow Trigger manually or via webhook integration for automation. Verify that structured profile data and summary are written to the linked Google Sheet. How to customize this workflow to your needs Bulk Profile Input** Connect the “Set Input” node to a Google Sheet or CSV input for batch LinkedIn URLs. Alternate Output Format** Instead of Google Sheets, connect to Notion, Airtable, or PostgreSQL for centralized profile databases. Advanced Summaries** Modify the Summarize Content Gemini prompt to generate more specialized summaries — e.g., "Leadership Potential Summary" or "Technical Fit Analysis" Resume Comparison Feature** Add another Gemini node to compare a candidate’s profile against a job description and output a fit score or gap analysis. Notification Integration** Use Slack or Gmail nodes to send alerts when a new candidate summary is generated. Language Localization** Add a language detection step before summarization to support multilingual summaries. Summary The Automated LinkedIn Talent Profiling & Summary via Decodo + Google Gemini workflow streamlines recruitment intelligence by automating every step of LinkedIn profile research: Scraping (via Decodo) Structuring (via Gemini JSON Extraction) Summarizing (via Gemini Summarizer) Storing results (in Google Sheets) This workflow empowers recruiters to analyze hundreds of profiles within minutes, ensuring data consistency, faster candidate evaluation, and smarter hiring decisions — powered by Bright Data scraping intelligence and Google Gemini’s AI reasoning.

AI-Powered Voice Appointment Booking with ElevenLabs Transform your appointment scheduling with this production-ready workflow that connects ElevenLabs voice AI to your Google Calendar. Patients can call and book appointments naturally through conversation, while the system handles real-time availability checking, calendar management, and automated confirmations—completely hands-free. 🎯 What It Does: Voice-Activated Booking: Patients speak naturally to book appointments via ElevenLabs AI agent Real-Time Availability: Instantly checks calendar conflicts and returns available time slots Smart Scheduling: Automatically generates available 30-minute slots across business hours for the next 30 days Calendar Sync: Creates Google Calendar events with all appointment details, locations, and attendees Email Confirmations: Sends personalized HTML confirmation emails with appointment details and preparation instructions Dual Functionality: Handles both "check availability" queries and "book appointment" requests through a single webhook 💼 Perfect For: Medical/dental clinics • Beauty salons • Spas • Consulting services • Legal offices • Fitness studios • Therapy practices • Any appointment-based business seeking 24/7 automated scheduling Real conversation example: Voice version: https://drive.google.com/file/d/1CjhyjICTtLioA737SOkpbgcdLdUpVCr3/view Text version: ++AI Voice Assistant++ (00:00) Hello, I'm Ella from Evergreen Clinic. How can I assist you today? ++Patient++ (00:05) Hello Ella, I wanted to book an appointment for Botox treatment. ++AI Voice Assistant++ (00:11) I'd be happy to help you schedule a Botox appointment. Our Botox treatments take about 20 minutes and are performed by Dr. Sava or our nurse injector Sarah. Would you prefer our Zurich or Bern location? ++Patient++ (00:24) I prefer Zurich. ++AI Voice Assistant++ (00:28) great Zurich it is. Do you have a specific date in mind for your Botox appointment? ++Patient++ (00:32) Yeah, October the 7th and let's say 5 p.m. ++AI Voice Assistant++ (00:47) I have the 5 p.m. slot available on October 7th in Zurich. May I have your first name to proceed with the booking? ++Patient++ (00:54) Yes, my first name Anatoly, surname Sava. ++AI Voice Assistant++ (01:02) Thank you, Anatoly Sava. Could you please provide your email address for the appointment confirmation? Please spell it out slowly. ++Patient++ (01:08) [Your Email] ++AI Voice Assistant++ (01:19) Thank you. Just to confirm, your email is [Your Email] correct? ++Patient++ (01:29) Yes. ++AI Voice Assistant++ (01:34) Perfect. Lastly, may I have your phone number to complete the booking? ++Patient++ (01:39) My phone number is [Your Number] ++AI Voice Assistant++ (01:51) Thank you for the details, Anatoly. I will now book your Botox appointment in Zurich on October 7th at 5 p.m. Perfect. I've booked your Botox appointment at our Zurich clinic on October 7th at 5 p.m. A confirmation email will be sent to [Your Email]. Thank you for choosing Evergreen Clinic. If you have any questions before your appointment, please don't hesitate to call us back. Have a wonderful day. ++Patient++ (02:19) Perfect. You too. ++AI Voice Assistant++ (02:22) Thank you, take care and have a great day ahead. 🔧 Technical Features: Intelligent routing logic distinguishes between availability checks and booking requests Custom JavaScript algorithm calculates conflict-free time slots Timezone-aware date/time handling (customizable for any timezone) Configurable business hours, appointment duration, and look-ahead period Natural language date formatting for voice responses Webhook-based architecture for seamless ElevenLabs integration 📋 Requirements: ElevenLabs account (for voice agent) Google Calendar Gmail address for confirmations ⚡ Quick Setup: Step 1: n8n Configuration Connect your Google Calendar, customize business hours in the code node, update clinic details in the email template. Includes pinned test data for easy testing before going live. Step 2: ElevenLabs Agent Setup 1) Create a new Conversational AI Italicagent in ElevenLabs 2) Configure two tools into ElevenLabs with webhook URL pointing to this workflow: check_availability(date, time, appointmentType, location) book_appointment(fullName, email, phone, date, time, appointmentType, location) Create a detailed system prompt defining your agent's identity, personality, tone of voice, and conversation behavior This is a chunk of a system prompt (the full version is too long): IDENTITY You are Ella, an appointment scheduling voice assistant for Evergreen Clinic, which specializes in plastic surgery procedures. Your primary purpose is to efficiently schedule, confirm, reschedule, or cancel appointments while providing accurate information about services from your knowledge files only. VOICE & STYLE Use a friendly, professional yet warm tone suitable for a plastic surgery clinic Keep all your responses short and simple. Use casual language, phrases like "Umm..", "Well...", and "I mean" are preferred. NEVER interrupt a patient if they start talking This is a voice conversation, so keep your responses short, like in a real conversation. Don't ramble for too long. Keep responses concise (8-15 words per sentence ideal) Use natural speech patterns with occasional phrases like "I understand" and "Of course..." Insert brief pauses between information chunks to sound natural Show empathy and sensitivity appropriate for plastic surgery clients Never rush the caller, but keep the conversation focused Maintain a reassuring tone when discussing procedures Zürich — pronounce /ˈtsyːʁɪç/. In plain terms: start with “ts”, the ü is like French u in tu (rounded front, not “oo”), stress the first syllable, and the final “ch” is the soft German sound as in ich (not “k”). Avoid saying “ZOO-rich.” Bern — pronounce /bɛrn/. Short e like in bet, single r (not American “urn”), no extra vowel at the end. Avoid saying “BURN.” Full ElevenLabs set up guide: https://youtu.be/kbiWe93nFMk?si=_bQYIoq1cjXKO5kl 🎁 What You Get: Complete end-to-end automation with detailed sticky note documentation, live conversation example, video tutorial, system prompt template, customization guides, troubleshooting tips, and security best practices.

Live Demo Booking Form with Outlook Calendar and Zoom link Who’s it for This workflow is designed for SaaS companies, consultants, or sales teams that regularly run live demos. It helps automate demo scheduling, ensuring clients can only book from available time slots while instantly generating Zoom links and calendar invitations. How it works / What it does Client fills demo request form → Collects company, contact details, and a preferred date. Check Outlook calendar availability → Searches for pre-created “Online Meeting Slot” events. Time slot selection → If the date has slots, the client chooses from up to 3 nearest available times. If not, they’re asked to pick another date. Create Zoom meeting → Once a date & time are confirmed, a Zoom link is automatically generated. Update Outlook calendar → The chosen slot is updated with the client’s details and Zoom link, marked as “Booked Live Demo” so it can’t be double-booked. Send confirmation → The client receives a styled confirmation screen, and both parties get the calendar invite. How to set up Import the workflow JSON into your n8n instance. Configure the following credentials: Microsoft Outlook OAuth2 API (for calendar access). Zoom OAuth2 API (for automatic meeting creation). Pre-create “Online Meeting Slot” events in your Outlook calendar to define available demo times. Publish the form via n8n’s webhook URL (embed it in your website or share the link). Test by submitting a request to ensure slots update correctly and Zoom links are created. Requirements n8n self-hosted or cloud account. Microsoft Outlook account with calendar access. Zoom account with OAuth2 credentials. Pre-created calendar slots named “Online Meeting Slot”. How to customize the workflow Form fields**: Adjust the client details form to capture additional data (e.g., industry, product interest). Email/notification**: Add an Email or Slack node to notify your sales team of new demo bookings. Custom branding**: Update the CSS in the form nodes to match your company’s style. Capacity rules**: Modify the IF nodes to limit the number of bookings per day or adjust the slot-checking logic.

Streamline your manufacturing quality control process with automated inspection tracking, compliance documentation, and real-time alerts. This workflow eliminates manual QC paperwork while ensuring ISO compliance and instant visibility into product quality. 🎯 Use Case Perfect for manufacturing facilities that need to: Document quality inspections for compliance audits Track product defects and non-conformities Generate certificates of compliance automatically Alert teams instantly when products fail inspection Maintain ISO 9001:2015 documentation requirements ✨ Key Features Automated Data Collection Accepts inspection data from web forms (Typeform) or Google Sheets Processes measurements against predefined specifications Calculates PASS/FAIL status automatically Smart Documentation Stores all inspection records in Google Drive Maintains searchable tracking spreadsheet Generates HTML compliance certificates Creates audit-ready documentation trail Real-Time Alerts Instant Slack notifications for failed inspections Detailed non-conformity reporting Escalation to quality managers Daily Analytics Automated daily quality summaries at 8 AM Pass rate calculations and trend analysis Product and inspector performance metrics 🔧 Setup Requirements Google Workspace - For Sheets and Drive storage Slack - For team notifications Jotform (optional) - For web-based inspection forms Email (SMTP) - For sending compliance certificates 📝 Customization Tips Modify specifications in the "Process Inspection Data" node to match your products Add custom fields for industry-specific requirements Adjust alert thresholds and notification channels Extend certificate templates with your company branding 🏭 Industries Ideal for: Electronics, Automotive Parts, Medical Devices, Consumer Goods, Food & Beverage, Aerospace Components 💡 Example Scenario A electronics manufacturer uses this workflow to inspect PCB assemblies. When an inspector submits measurements via Jotform, the workflow automatically checks if dimensions and weight meet specifications, stores the report, and generates a certificate. If any board fails, the quality manager receives an immediate Slack alert with details. Time Saved: ~2 hours daily on documentation and reporting Error Reduction: 90% fewer data entry mistakes Compliance: 100% audit-ready documentation

AI Personal Assistant Telegram Bot Template Description Transform your Telegram into a powerful AI-powered personal assistant that manages your calendar, sends daily schedules, searches the web, and accesses your contacts - all through simple text messages. What This Template Does This workflow creates an intelligent Telegram bot that serves as your personal assistant, capable of: Daily Schedule Management**: Automatically checks your Google Calendar and emails you a formatted daily schedule summary Intelligent Conversations**: Uses OpenAI GPT-4o-mini with conversation memory for natural interactions Web Research**: Searches Wikipedia and the web using SerpAPI for any questions you have Contact Management**: Accesses your Google Sheets contact database to find email addresses and information Email Automation**: Sends emails on your behalf using Gmail integration Calendar Integration**: Reads and manages your Google Calendar events Target Users Busy Professionals** who need quick access to their schedule and want to automate daily planning Small Business Owners** who want an AI assistant for managing contacts and communications Personal Productivity Enthusiasts** who want to streamline their daily workflow Anyone** who prefers text-based interaction over switching between multiple apps Key Features ✅ Multi-Tool AI Agent: Combines Wikipedia, web search, calendar, email, and contacts in one interface ✅ Conversation Memory: Remembers context across multiple interactions ✅ Automatic Daily Scheduling: Proactive daily schedule emails ✅ Contact Intelligence: Automatically finds contact information before sending emails ✅ Telegram Integration: Works through the familiar Telegram interface Use Cases "What's on my schedule today?" → Receives formatted email with daily agenda "Send an email to John about the meeting" → Finds John's email and sends message "What's the weather in Paris?" → Gets current weather information via web search "Tell me about quantum computing" → Provides Wikipedia information "Schedule a meeting with Sarah tomorrow at 2 PM" → Creates calendar event Prerequisites Before setting up this template, you'll need accounts and API access for: Telegram Bot** (free via @BotFather) OpenAI API** (paid service) Google Calendar API** (free) Gmail API** (free) Google Sheets API** (free) SerpAPI** (freemium web search) Setup Instructions 1. Create Telegram Bot Message @BotFather on Telegram Use /newbot command and follow instructions Save your bot token for later 2. Set Up Google APIs Go to Google Cloud Console Create a new project or select existing Enable Google Calendar, Gmail, and Sheets APIs Create OAuth2 credentials Download credentials JSON file 3. Get API Keys OpenAI: Visit platform.openai.com, create API key SerpAPI: Sign up at serpapi.com, get API key 4. Configure Credentials in n8n Add Telegram Bot credentials using your bot token Set up Google OAuth2 for Calendar, Gmail, and Sheets Add OpenAI API credentials Add SerpAPI credentials 5. Customize the Workflow Update Calendar ID: Replace a________@gmail.com with your calendar Set Google Sheets ID: Replace the sheet ID with your contacts spreadsheet Modify System Message: Update the AI agent's instructions to match your preferences Adjust Memory Settings: Configure conversation memory window as needed 6. Test the Setup Activate the workflow Message your Telegram bot Verify all integrations are working Customization Options Change AI Model**: Switch between OpenAI models (GPT-3.5, GPT-4, etc.) Adjust Memory**: Modify conversation memory window length Add More Tools**: Integrate additional services like Notion, Slack, or weather APIs Modify Schedule**: Change when daily schedule emails are sent Customize Responses**: Update the system message to change assistant personality Important Notes Privacy**: This bot has access to your calendar, contacts, and email - ensure proper security API Costs**: OpenAI and SerpAPI usage will incur costs based on usage Rate Limits**: Be aware of API rate limits for each service Security**: Use environment variables for sensitive credentials Troubleshooting Bot not responding**: Check Telegram credentials and webhook configuration Calendar access issues**: Verify Google Calendar API permissions Email not sending**: Confirm Gmail API scopes include send permissions Memory not working**: Check that session keys are properly configured Support For issues with this template, check: n8n Community Forum Individual API service documentation Google Cloud Console for API errors OpenAI usage dashboard for model issues

Description Transform training prescriptions into perfectly formatted Intervals.icu workouts using AI. This workflow automatically converts free-text workout descriptions into structured interval training sessions with proper heart rate zones, pace calculations, and exercise formatting. What this workflow does Collects workout details via a web form (date, title, and workout description) Fetches athlete data from Intervals.icu (FTP, max HR, threshold pace, LTHR) Processes with AI using Claude Opus 4.1 to intelligently parse and format the workout Auto-detects workout type (Run, Ride, Strength, HYROX, CrossFit, etc.) Converts training zones - RPE → HR%, pace calculations, power zones Formats workout structure with proper transitions, rest periods, circuit formatting Creates the workout in Intervals.icu via API Use cases Coaches**: Convert training plans from documents/spreadsheets into Intervals.icu format Athletes**: Quickly add structured workouts from coaching apps or training programs Hybrid training**: Handle complex HYROX, CrossFit, or multi-sport sessions with circuit formatting Time savings**: Eliminate manual workout entry and zone calculations Supported workout types Running, cycling, swimming, strength training, HYROX, CrossFit, indoor rowing, virtual training (Zwift), triathlon, and more. Key features ✅ Intelligent workout type detection ✅ Automatic RPE to HR zone conversion using athlete-specific data ✅ Proper formatting for intervals, circuits, supersets, and progressions ✅ Adds transitions between exercises/machines ✅ Calculates exercise durations and pacing ✅ Handles warmup/cooldown sections ✅ Generates unique workout IDs Setup requirements Intervals.icu account** with API access (API key required) Anthropic API key** for Claude AI Athlete must have training zones configured in Intervals.icu (FTP, max HR, LTHR, threshold pace) Setup instructions Getting your Intervals.icu API key Log in to Intervals.icu Go to Settings (gear icon) → Developer Settings Click Generate API Key (or copy your existing key) Save the API key securely Configuring credentials in n8n For Intervals.icu (HTTP Basic Auth): In n8n, open the GetAthleteInfo or CreateWorkoutAPI node Click on Credentials → Create New Credential Select HTTP Basic Auth Enter: Username: API_KEY (literally type "API_KEY") Password: Your actual API key from Intervals.icu Click Save Apply this credential to both HTTP Request nodes For Anthropic: Open the Anthropic Chat Model node Click on Credentials → Create New Credential Enter your Anthropic API key Click Save Important: The Intervals.icu API uses HTTP Basic Authentication where the username is always the literal string "API_KEY" and the password is your actual API key. How it works The workflow uses a sophisticated AI agent with a detailed system prompt that understands training terminology, zones, and Intervals.icu formatting requirements. It applies sport-specific rules to ensure workouts are properly structured for tracking during training sessions.