by hana
How it works Fetch transaction notification emails (including attachments) Clean up data Let AI (Basic LLM Chain node) generate bookkeeping item Send to Google sheet Details The example fetch email from Gmail lables, suggested using filters to automatically orgianize email into the labels Data will send to "raw data" sheet Example google sheet: https://docs.google.com/spreadsheets/d/1_IhdHj8bxtsfH2MRqKuU2LzJuzm4DaeKSw46eFcyYts/edit?gid=1617968863#gid=1617968863
by M Shehroz Sajjad
What problem does it solve? Manual candidate screening is time-consuming and inconsistent. This workflow automates initial interviews, providing 24/7 availability, consistent questioning, and objective assessments for every candidate. Who is it for? HR teams handling high-volume recruiting Small businesses without dedicated recruiters Companies scaling their hiring process Remote-first organizations needing asynchronous screening What this workflow does Creates AI interviewers from job descriptions that conduct natural conversations with candidates via BeyondPresence Agents. Automatically analyzes interviews and saves structured assessments to Google Sheets. Setup Copy template sheet: BeyondPresence HR Interview System Template Add credentials: BeyondPresence API Key OpenAI API Google Sheets Configure webhook in BeyondPresence dashboard: https://[your-n8n-instance]/webhook/beyondpresence-hr-interviews Paste job description and run setup Share generated link with candidates How it works Agent Creation: Converts job description into conversational AI interviewer Interview Conduct: Candidates chat naturally with AI via shared link Webhook Trigger: Completed interviews sent to n8n AI Analysis: OpenAI evaluates responses against job requirements Results Storage: Assessments saved to Google Sheets with scores and recommendations Resources Google Sheets Template BeyondPresence Documentation Webhook Setup Guide Example Use Case Tech startup screens 200 applicants for engineering role. Creates AI interviewer in 2 minutes, sends link to all candidates. Receives structured assessments within 24 hours, identifying top 20 candidates for human interviews. Reduces initial screening time from 2 weeks to 2 days.
by InfyOm Technologies
What problem does this workflow solve? Capture leads from your website, enrich them via Apollo, store them in HubSpot, send a personalized thank-you email, and notify your teamβall automatically. What does this workflow do? Capture leads from website forms automatically. Send a personalized thank-you email to each new lead. Enrich lead data using Apollo for deeper insights. Create or update a contact/lead in HubSpot CRM. Notify the internal team via email about the new lead. Setup Gmail Setup Create Gmail Credentials by creating a project in Google Cloud Console. Hubspot Setup Create Hubspot Credentials with App Token. How it Works: This workflow automates your lead capture, enrichment, and follow-up process to ensure no opportunity is missed. Here's how it works: 1. Website Form Submission A visitor submits a lead form on your website. Lead details like name, email, company, and message are captured instantly. 2. Personalized Thank-You Email A customized thank-you email is automatically sent to the lead, building trust and confirming receipt of their inquiry. 3. Apollo Lead Enrichment The captured data is enriched using Apollo to fetch additional information like job title, LinkedIn profile, and other details. This helps you better understand and qualify your leads. 4. Create Lead in HubSpot The enriched lead information is pushed into HubSpot as a new contact or lead. Duplicate checks ensure that there are no repeat entries. 5. Internal Notification An email notification with enriched lead details is sent to your team. Your team can follow up immediately with a complete profile. Who can use it? This workflow can be used by any website owner with a "Get In Touch" or "Contact Us" button.
by Eric Mooney
Usecase: When a new service ticket is created in Taiga, it's often unclear whether it contains sufficient details to begin work. This workflow automates the triage process by: Using an AI model to extract key information from the ticket description. Automatically assigning values for: Type (Bug, Enhancement, Onboarding, Question) Severity (Wishlist, Minor, Normal, Important, Critical) Priority (Low, Normal, High) Status (New, Needs More Info, etc.) Detecting missing critical data and blocking the ticket if incomplete. Setup instructions here: https://github.com/emooney/Service_Ticket_Triage_Helper
by Kumar Shivam
π§ AI Blog Generator for Shopify Products using GPT-4o The AI Blog Generator is an advanced automation workflow powered by n8n, integrating GPT-4o and Google Sheets to generate SEO-rich blog articles for Shopify products. It automates the entire process β from pulling product data, analyzing images for nutritional information, to producing structured HTML content ready for publishing β with zero manual writing. π‘ Key Advantages π Shopify Product Sync** Automatically pulls product data (title, description, images, etc.) via Shopify API. π€ AI-Powered Nutrition Extraction** Uses GPT-4o to intelligently analyze product images and extract nutritional information. βοΈ SEO Blog Generation** GPT-4o generates blog titles, meta descriptions, and complete articles using both product metadata and extracted nutritional info. ποΈ Structured Content Output** Produces well-formatted HTML with headers, bullet points, and nutrition tables for seamless Shopify blog integration. π Google Sheets Integration** Tracks blog creation, manages retries, and prevents duplicate publishing using a centralized Google Sheet. π€ Shopify Blog API Integration** Publishes the generated blog to Shopify using a two-step blog + article API call. βοΈ How It Works Manual Trigger Initiate the process using a test trigger or a scheduler. Fetch Products from Shopify Retrieves all product details including descriptions and images. Extract Product Images Splits and processes each image individually. OCR + Nutrition AI GPT-4o reads nutrition facts from product images. Skips items without valid info. Check Existing Logs References a Google Sheet to avoid duplicates and determine retry status. AI Blog Generation Creates a blog with headings, bullet points, intro, and a nutrition table. Shopify Blog + Article Posting Uses the Shopify API to publish the blog and its content. Update Google Sheet Logs the blog URL, HTML content, errors, and status for future reference. π οΈ Setup Steps Shopify Node**: Connects to your Shopify store and fetches product data. Split Out Node**: Divides product images for individual OCR processing. OpenAI Node**: Uses GPT-4o to extract nutrition data from images. If Node**: Filters for entries with valid nutrition information. Edit Fields Node**: Formats the product data for AI processing. AI Agent Node**: Generates SEO blog content. Google Sheets Nodes**: Reads and updates blog creation status. HTTP Request Nodes**: Posts the blog and article via Shopifyβs API. π Credentials Required Shopify Access Token** β For retrieving product data and posting blogs OpenAI API Key** β For GPT-4o-based AI generation and image processing Google Sheets OAuth** β For accessing the log sheet π€ Ideal For Ecommerce teams looking to automate content for hundreds of products Shopify store owners aiming to boost organic traffic through blogging Marketing teams building scalable, AI-driven content workflows π¬ Bonus Tip The workflow is modular. You can easily extend it with internal linking, language translation, or even social media sharing β all within the same n8n flow.
by Jez
Summary This n8n workflow implements an AI-powered "Local Event Finder" agent. It takes user criteria (like event type, city, date, and interests), uses a suite of search tools (Brave Web Search, Brave Local Search, Google Gemini Search) and a web scraper (Jina AI) to find relevant events, and returns formatted details. The entire agent is exposed as a single, easy-to-use MCP (Multi-Capability Peer) tool, making it simple to integrate into other workflows or applications. This template cleverly combines the MCP server endpoint and the AI agent logic into a single n8n workflow file for ease of import and management. Key Features Intelligent Multi-Tool Search:** Dynamically utilizes web search, precise local search, and advanced Gemini semantic search to find events. Detailed Information via Web Scraping:** Employs Jina AI to extract comprehensive details directly from event web pages. Simplified MCP Tool Exposure:** Makes the complex event-finding logic available as a single, callable tool for other MCP-compatible clients (e.g., Roo Code, Cline, other n8n workflows). Customizable AI Behavior:** The core AI agent's behavior, tool usage strategy, and output formatting can be tailored by modifying its System Prompt. Modular Design:** Uses distinct nodes for LLM, memory, and each external tool, allowing for easier modification or extension. Benefits Simplifies Client-Side Integration:** Offloads the complexity of event searching and data extraction from client applications. Provides Richer Event Data:** Goes beyond simple search links to extract and format key event details. Flexible & Adaptable:** Can be adjusted to various event search needs and can incorporate new tools or data sources. Efficient Processing:** Leverages specialized tools for different aspects of the search process. Nodes Used MCP Trigger Tool Workflow Execute Workflow Trigger AI Agent Google Gemini Chat Model (ChatGoogleGenerativeAI) Simple Memory (Window Buffer Memory) MCP Client (for Brave Search tools via Smithery) Google Gemini Search Tool Jina AI Tool Prerequisites An active n8n instance. Google AI API Key:** For the Gemini LLM (Google Gemini Chat Model node) and the Google Gemini Search Tool. Ensure your key is enabled for these services. Jina AI API Key:** For the jina_ai_web_page_scraper node. A free tier is often available. Access to a Brave Search MCP Provider (Optional but Recommended):** This template uses MCP Client nodes configured for Brave Search via a provider like Smithery. You'll need an account/API key for your chosen Brave Search MCP provider to configure the smithery brave search credential. Alternatively, you could adapt these to call Brave Search API directly if you manage your own access, or replace them with other search tools. Setup Instructions Import Workflow: Download the JSON file for this template and import it into your n8n instance. Configure Credentials: Google Gemini LLM: Locate the Google Gemini Chat Model node. Select or create a "Google Gemini API" credential (named Google Gemini Context7 in the template) using your Google AI API Key. Google Gemini Search Tool: Locate the google_gemini_event_search node. Select or create a "Gemini API" credential (named Gemini Credentials account in the template) using your Google AI API Key (ensure it's enabled for Search/Vertex AI). Jina AI Web Scraper: Locate the jina_ai_web_page_scraper node. Select or create a "Jina AI API" credential (named Jina AI account in the template) using your Jina AI API Key. Brave Search (via MCP): You'll need an MCP Client HTTP API credential to connect to your Brave Search MCP provider (e.g., Smithery). Create a new "MCP Client HTTP API" credential in n8n. Name it, for example, smithery brave search. Configure it with the Base URL and any required authentication (e.g., API key in headers) for your Brave Search MCP provider. Locate the brave_web_search and brave_local_search MCP Client nodes in the workflow. Assign the smithery brave search (or your named credential) to both of these nodes. Activate Workflow: Ensure the workflow is active. Note MCP Trigger Path: Locate the local_event_finder (MCP Trigger) node. The Path field (e.g., 0ca88864-ec0a-4c27-a7ec-e28c5a900697) combined with your n8n webhook base URL forms the endpoint for client calls. Example Endpoint: YOUR_N8N_INSTANCE_URL/webhooks/PATH-TO-MCP-SERVER Customization AI Behavior:** Modify the "System Message" parameter within the event_finder_agent node to change the AI's persona, its strategy for using tools, or the desired output format. LLM Model:** Swap the Google Gemini Chat Model node with another compatible LLM node (e.g., OpenAI Chat Model) if desired. You'll need to adjust credentials and potentially the system prompt. Tools:** Add, remove, or replace tool nodes (e.g., use a different search provider, add a weather API tool) and update the event_finder_agent's system prompt and tool configuration accordingly. Scraping Depth:** Be mindful of the jina_ai_web_page_scraper's usage due to potential timeouts. The system prompt already guides the LLM on this, but you can adjust its usage instructions.
by Lakshit Ukani
Who is this for? Content creators, social media managers, digital marketers, and businesses looking to automate video production without expensive equipment or technical expertise. What problem is this workflow solving? Traditional video creation requires cameras, editing software, voice recording equipment, and hours of post-production work. This workflow eliminates all these barriers by automatically generating professional videos with audio using just text prompts. What this workflow does This automated workflow takes video ideas from Google Sheets, generates optimized prompts using AI, creates videos through Google's V3 model via Fal AI, monitors the generation progress, and saves the final video URLs back to your spreadsheet for easy access and management. Setup Sign up for Fal AI account and obtain API key Create Google Sheet with video ideas and status columns Configure n8n with required credentials (Google Sheets, Fal AI API) Import the workflow template Set up authentication for all connected services Test with sample video idea How to customize this workflow to your needs Modify the AI prompts to match your brand voice, adjust video styles and camera movements, change polling intervals for video generation status, customize Google Sheet column mappings, and add additional processing steps like thumbnail generation or social media posting.
by Automate With Marc
This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Automate your entire video content creation pipeline with this AI-powered, no-code workflow built in n8n. Watch Step-by-step video guide here: https://www.youtube.com/watch?v=x7nHpcggpX8&t=5s This template connects a suite of smart tools to help you generate scroll-stopping short video ideas based on daily trending topics and auto-deliver them via emailβready for production in Veo 3. π§ How it works: Scheduled Trigger (Daily) Kicks off the process each day at your chosen time. Tavily Agent (Web Search) Searches the latest trends, viral moments, or market news based on your e-commerce brand (e.g. βSallyβs Closetβ). OpenAI GPT-4 Agent (Creative Brainstorming) Generates high-conversion marketing video ideas based on your brandβs tone and whatβs trending. Prompt Formatter for Veo 3 Converts the idea into a cinematic-style prompt, optimized for Veoβs video generation engine (via FAL API). Send via Gmail The final Veo 3 prompt is emailed to you or your creative team for immediate use or manual refinement. Watch full step-by-step Tutorial Build Video: https://youtu.be/x7nHpcggpX8 π§ Use Cases: E-commerce brands that need fresh daily content Marketing teams looking to automate creative ideation Solopreneurs building a lean video production engine Anyone experimenting with Veo 3 prompt-based storytelling π οΈ Tools used: n8n Scheduled Trigger Tavily Node (for real-time web search) Langchain Agent (GPT-4 via OpenAI) FAL API (Veo 3 prompt delivery) Gmail Node (send final output) β‘οΈ Ready-to-use. Fully editable. Zero coding required. π‘ Pro Tip: You can hook this up with the Veo 3 generation API (FAL) to complete the automation end-to-end!
by Floyd Mahou
π How it works This workflow turns WhatsApp into a smart email command center using AI. Users can speak or type instructions like: "Send a follow-up to Claireβ "Write a draft email to Claire to confirm tomorrowβs meeting at 5 PMβ "What is the name of Claire's firm?β The agent transcribes voice notes, extracts intent with GPT, interacts with Gmail (send, draft, search), and replies with a confirmation via WhatsApp β either as text or a voice message. βοΈ Key Modules Used WhatsApp Business Webhook (Meta) OpenAI Whisper (voice transcription) GPT (intent + content generation) Gmail (search, draft, send) Airtable (contact lookup + memory logging) π§ Memory Layer (Optional) The agent logs key fields in Airtable: Recipient email Company / job title And more... This creates a lightweight "gut memoryβ so the agent feels context-aware. πΊοΈ Setup Steps Connect WhatsApp Business API (via Meta Developer Console) Add OpenAI and Gmail credentials in n8n Link your Airtable base for contacts and logging π§© Best Use Cases Hands-free email reply while commuting Fast Gmail access for busy consultants / solopreneurs Custom business agents for service-based professionals β±οΈ Estimated Setup Time 30β60 minutes β Requirements WhatsApp Business Cloud access OpenAI API Key Gmail or Google Workspace Airtable account (free plan OK) n8n instance (cloud or self-hosted with HTTPS)
by Incrementors
Google Maps Business Phone No Scraper with Bright Data & Sheets Overview This n8n workflow automates the process of scraping business phone numbers and information from Google Maps using the Bright Data API and saves the results to Google Sheets. Workflow Components 1. Form Trigger - Submit Location and Keywords Type: Form Trigger Purpose: Start the workflow when a form is submitted Fields: Location (required) Keywords (required) Configuration: Form Title: "GMB" Webhook ID: 8b72dcdf-25a1-4b63-bb44-f918f7095d5d 2. Bright Data API - Request Business Data Type: HTTP Request Purpose: Sends scraping request to Bright Data API Method: POST URL: https://api.brightdata.com/datasets/v3/trigger Query Parameters: dataset_id: gd_m8ebnr0q2qlklc02fz include_errors: true type: discover_new discover_by: location limit_per_input: 2 Headers: Authorization: Bearer BRIGHT_DATA_API_KEY Request Body: { "input": [ { "country": "{{ $json.Location }}", "keyword": "{{ $json.keywords }}", "lat": "" } ], "custom_output_fields": [ "url", "country", "name", "address", "description", "open_hours", "reviews_count", "rating", "reviews", "services_provided", "open_website", "phone_number", "permanently_closed", "photos_and_videos", "people_also_search" ] } 3. Check Scraping Status Type: HTTP Request Purpose: Check if data scraping is completed Method: GET URL: https://api.brightdata.com/datasets/v3/progress/{{ $json.snapshot_id }} Query Parameters: format: json Headers: Authorization: Bearer BRIGHT_DATA_API_KEY 4. Check If Status Ready Type: Conditional (IF) Purpose: Determine if scraping is ready or needs to wait Condition: {{ $json.status }} equals "ready" 5. Wait Before Retry Type: Wait Purpose: Pause 1 minute before checking status again Duration: 1 minute Webhook ID: 7047efad-de41-4608-b95c-d3e0203ef620 6. Check Records Exist Type: Conditional (IF) Purpose: Proceed only if business records are found Condition: {{ $json.records }} not equals 0 7. Fetch Business Data Type: HTTP Request Purpose: Get business information including phone numbers Method: GET URL: https://api.brightdata.com/datasets/v3/snapshot/{{ $json.snapshot_id }} Query Parameters: format: json Headers: Authorization: Bearer BRIGHT_DATA_API_KEY 8. Save to Google Sheets Type: Google Sheets Purpose: Store business data in Google Sheets Operation: Append Document ID: YOUR_GOOGLE_SHEET_ID Sheet Name: GMB Column Mapping: Name:** {{ $json.name }} Address:** {{ $json.address }} Rating:** {{ $json.rating }} Phone Number:** {{ $json.phone_number }} URL:** {{ $json.url }} Workflow Flow Start: User submits form with location and keywords Request: Send scraping request to Bright Data API Monitor: Check scraping status periodically Wait Loop: If not ready, wait 1 minute and check again Validate: Ensure records exist before proceeding Fetch: Retrieve the scraped business data Save: Store results in Google Sheets Setup Requirements API Keys & Credentials Bright Data API Key:** Replace BRIGHT_DATA_API_KEY with your actual API key Google Sheets OAuth2:** Configure with your Google Sheets credential ID Google Sheet ID:** Replace YOUR_GOOGLE_SHEET_ID with your actual sheet ID Google Sheets Setup Create a Google Sheet with a tab named "GMB" Ensure the following columns exist: Name Address Rating Phone Number URL Workflow Status Active:** No (currently inactive) Execution Order:** v1 Version ID:** 0bed9bf1-00a3-4eb6-bf7c-cf07bee006a2 Workflow ID:** Hm7iTSgpu2of6gz4 Notes The workflow includes a retry mechanism with 1-minute waits Data validation ensures only successful scrapes are processed All business information is automatically saved to Google Sheets The form trigger allows easy initiation of scraping jobs For any questions or support, please contact: info@incrementors.com or fill out this form: https://www.incrementors.com/contact-us/
by David Olusola
A complete, ready-to-deploy Telegram chatbot template for food delivery businesses. This intelligent assistant handles orders, payments, customer service, and order tracking with human-in-the-loop payment verification. β¨ Key Features π€ AI-Powered Conversations - Natural language order processing using Google Gemini π± Telegram Integration - Seamless customer interaction via Telegram π³ Payment Verification - Screenshot-based payment confirmation with admin approval π Order Tracking - Automatic Google Sheets logging of all orders π§ Memory Management - Contextual conversation memory for better customer experience π Multi-Currency Support - Easily customizable for any currency (USD, EUR, GBP, etc.) π Location Flexible - Adaptable to any city/country π Human Oversight - Manual payment approval workflow for security π οΈ What This Template Includes Core Workflow Customer Interaction - AI assistant takes orders via Telegram Order Confirmation - Summarizes order with total and payment details Information Collection - Gathers customer name, phone, and delivery address Payment Processing - Handles payment screenshots and verification Admin Approval - Human verification of payments before order confirmation Order Tracking - Automatic logging to Google Sheets with delivery estimates Technical Components AI Agent Node - Google Gemini-powered conversation handler Memory System - Maintains conversation context per customer Google Sheets Integration - Automatic order logging and tracking Telegram Nodes - Customer and admin communication Payment Verification - Screenshot detection and approval workflow Conditional Logic - Smart routing based on message types π Quick Setup Guide Prerequisites n8n instance (cloud or self-hosted) Telegram Bot Token Google Sheets API access Google Gemini API key Step 1: Replace Placeholders Search and replace the following placeholders throughout the template: Business Information [YOUR_BUSINESS_NAME] β Your restaurant/food business name [ASSISTANT_NAME] β Your bot's name (e.g., "Alex", "Bella", "Chef Bot") [YOUR_CITY] β Your city [YOUR_COUNTRY] β Your country [YOUR_ADDRESS] β Your business address [YOUR_PHONE] β Your business phone number [YOUR_EMAIL] β Your business email [YOUR_HOURS] β Your operating hours (e.g., "9AM - 11PM daily") Currency & Localization [YOUR_CURRENCY] β Your currency name (e.g., "USD", "EUR", "GBP") [CURRENCY_SYMBOL] β Your currency symbol (e.g., "$", "β¬", "Β£") [YOUR_TIMEZONE] β Your timezone (e.g., "EST", "PST", "GMT") [PREFIX] β Order ID prefix (e.g., "FB" for "Food Business") Menu Items (Customize Completely) [CATEGORY_1] β Food category (e.g., "Burgers", "Pizza", "Sandwiches") [ITEM_1] through [ITEM_8] β Your menu items [PRICE_1] through [DELIVERY_FEE] β Your prices Add or remove categories and items as needed Payment & Support [YOUR_PAYMENT_DETAILS] β Your payment information [YOUR_PAYMENT_PROVIDER] β Your payment method (e.g., "Venmo", "PayPal", "Bank Transfer") [YOUR_SUPPORT_HANDLE] β Your Telegram support username Step 2: Configure Credentials Telegram Bot - Add your bot token to Telegram credentials Google Sheets - Connect your Google account and create/select your orders spreadsheet Google Gemini - Add your Gemini API key Sheet ID - Replace [YOUR_GOOGLE_SHEET_ID] with your actual Google Sheet ID Step 3: Customize Menu Update the menu section in the AI Agent system message with your actual: Food categories Item names and prices Delivery fees Any special offerings or combos Step 4: Test & Deploy Import the template into your n8n instance Test the conversation flow with a test Telegram account Verify Google Sheets logging works correctly Test the payment approval workflow Activate the workflow π° Currency Examples USD Version π MENU & PRICES (USD) Burgers Classic Burger β $12.99 Cheese Burger β $14.99 Deluxe Burger β $18.99 Delivery Fee β $3.99 EUR Version π MENU & PRICES (EUR) Burgers Classic Burger β β¬11.50 Cheese Burger β β¬13.50 Deluxe Burger β β¬17.50 Delivery Fee β β¬3.50 π Google Sheets Structure The template automatically logs orders with these columns: Order ID Customer Name Chat ID Phone Number Delivery Address Order Info Total Price Payment Status Order Status Timestamp π§ Customization Options Easy Customizations Menu Items - Add/remove/modify any food items Pricing - Update to your local pricing structure Currency - Change to any currency worldwide Business Hours - Modify operating hours Delivery Areas - Add location restrictions Payment Methods - Update payment information# Header 1
by David Ashby
π οΈ Twilio Tool MCP Server Complete MCP server exposing all Twilio Tool operations to AI agents. Zero configuration needed - all 2 operations pre-built. β‘ Quick Setup Need help? Want access to more workflows and even live Q&A sessions with a top verified n8n creator.. All 100% free? Join the community Import this workflow into your n8n instance Activate the workflow to start your MCP server Copy the webhook URL from the MCP trigger node Connect AI agents using the MCP URL π§ How it Works β’ MCP Trigger: Serves as your server endpoint for AI agent requests β’ Tool Nodes: Pre-configured for every Twilio Tool operation β’ AI Expressions: Automatically populate parameters via $fromAI() placeholders β’ Native Integration: Uses official n8n Twilio Tool tool with full error handling π Available Operations (2 total) Every possible Twilio Tool operation is included: π§ Call (1 operations) β’ Make a call π§ Sms (1 operations) β’ Send an SMS/MMS/WhatsApp message π€ AI Integration Parameter Handling: AI agents automatically provide values for: β’ Resource IDs and identifiers β’ Search queries and filters β’ Content and data payloads β’ Configuration options Response Format: Native Twilio Tool API responses with full data structure Error Handling: Built-in n8n error management and retry logic π‘ Usage Examples Connect this MCP server to any AI agent or workflow: β’ Claude Desktop: Add MCP server URL to configuration β’ Custom AI Apps: Use MCP URL as tool endpoint β’ Other n8n Workflows: Call MCP tools from any workflow β’ API Integration: Direct HTTP calls to MCP endpoints β¨ Benefits β’ Complete Coverage: Every Twilio Tool operation available β’ Zero Setup: No parameter mapping or configuration needed β’ AI-Ready: Built-in $fromAI() expressions for all parameters β’ Production Ready: Native n8n error handling and logging β’ Extensible: Easily modify or add custom logic > π Free for community use! Ready to deploy in under 2 minutes.