by Yaron Been
This workflow provides automated access to the Creativeathive Lemaar Door Wm AI model through the Replicate API. It saves you time by eliminating the need to manually interact with AI models and provides a seamless integration for other generation tasks within your n8n automation workflows. Overview This workflow automatically handles the complete other generation process using the Creativeathive Lemaar Door Wm model. It manages API authentication, parameter configuration, request processing, and result retrieval with built-in error handling and retry logic for reliable automation. Model Description: Advanced AI model for automated processing and generation tasks. Key Capabilities Specialized AI model with unique capabilities** Advanced processing and generation features** Custom AI-powered automation tools** Tools Used n8n**: The automation platform that orchestrates the workflow Replicate API**: Access to the Creativeathive/lemaar-door-wm AI model Creativeathive Lemaar Door Wm**: The core AI model for other generation Built-in Error Handling**: Automatic retry logic and comprehensive error management How to Install Import the Workflow: Download the .json file and import it into your n8n instance Configure Replicate API: Add your Replicate API token to the 'Set API Token' node Customize Parameters: Adjust the model parameters in the 'Set Other Parameters' node Test the Workflow: Run the workflow with your desired inputs Integrate: Connect this workflow to your existing automation pipelines Use Cases Specialized Processing**: Handle specific AI tasks and workflows Custom Automation**: Implement unique business logic and processing Data Processing**: Transform and analyze various types of data AI Integration**: Add AI capabilities to existing systems and workflows Connect with Me Website**: https://www.nofluff.online YouTube**: https://www.youtube.com/@YaronBeen/videos LinkedIn**: https://www.linkedin.com/in/yaronbeen/ Get Replicate API**: https://replicate.com (Sign up to access powerful AI models) #n8n #automation #ai #replicate #aiautomation #workflow #nocode #aiprocessing #dataprocessing #machinelearning #artificialintelligence #aitools #automation #digitalart #contentcreation #productivity #innovation
by Yaron Been
Description This workflow automatically collects and organizes research papers from academic databases and journals into Google Sheets. It helps researchers and students save time by eliminating manual searches across multiple academic sources and centralizing research materials. Overview This workflow automatically scrapes research papers from academic databases and journals, then organizes them in Google Sheets. It uses Bright Data to access academic sources and extracts key information like titles, authors, abstracts, and citations. Tools Used n8n:** The automation platform that orchestrates the workflow. Bright Data:** For scraping academic websites and research databases without getting blocked. Google Sheets:** For organizing and storing research paper data. How to Install Import the Workflow: Download the .json file and import it into your n8n instance. Configure Bright Data: Add your Bright Data credentials to the Bright Data node. Connect Google Sheets: Authenticate your Google account. Customize: Specify research topics, journals, or authors to track. Use Cases Academic Researchers:** Stay updated on new papers in your field. Students:** Collect research for literature reviews and dissertations. Research Teams:** Collaborate on literature databases. Connect with Me Website:** https://www.nofluff.online YouTube:** https://www.youtube.com/@YaronBeen/videos LinkedIn:** https://www.linkedin.com/in/yaronbeen/ Get Bright Data:** https://get.brightdata.com/1tndi4600b25 (Using this link supports my free workflows with a small commission) #n8n #automation #research #academicpapers #brightdata #googlesheets #researchpapers #academicresearch #literaturesearch #scholarlyarticles #n8nworkflow #workflow #nocode #researchautomation #academicscraping #researchtools #papertracking #academicjournals #researchdatabase #literaturereview #academicwriting #datascraping #researchorganization #scholarlyresearch #citationmanagement #academicproductivity
by Yaron Been
This workflow provides automated access to the Digitalhera Herathaisbragatto2 AI model through the Replicate API. It saves you time by eliminating the need to manually interact with AI models and provides a seamless integration for other generation tasks within your n8n automation workflows. Overview This workflow automatically handles the complete other generation process using the Digitalhera Herathaisbragatto2 model. It manages API authentication, parameter configuration, request processing, and result retrieval with built-in error handling and retry logic for reliable automation. Model Description: Advanced AI model for automated processing and generation tasks. Key Capabilities Specialized AI model with unique capabilities** Advanced processing and generation features** Custom AI-powered automation tools** Tools Used n8n**: The automation platform that orchestrates the workflow Replicate API**: Access to the Digitalhera/herathaisbragatto2 AI model Digitalhera Herathaisbragatto2**: The core AI model for other generation Built-in Error Handling**: Automatic retry logic and comprehensive error management How to Install Import the Workflow: Download the .json file and import it into your n8n instance Configure Replicate API: Add your Replicate API token to the 'Set API Token' node Customize Parameters: Adjust the model parameters in the 'Set Other Parameters' node Test the Workflow: Run the workflow with your desired inputs Integrate: Connect this workflow to your existing automation pipelines Use Cases Specialized Processing**: Handle specific AI tasks and workflows Custom Automation**: Implement unique business logic and processing Data Processing**: Transform and analyze various types of data AI Integration**: Add AI capabilities to existing systems and workflows Connect with Me Website**: https://www.nofluff.online YouTube**: https://www.youtube.com/@YaronBeen/videos LinkedIn**: https://www.linkedin.com/in/yaronbeen/ Get Replicate API**: https://replicate.com (Sign up to access powerful AI models) #n8n #automation #ai #replicate #aiautomation #workflow #nocode #aiprocessing #dataprocessing #machinelearning #artificialintelligence #aitools #automation #digitalart #contentcreation #productivity #innovation
by Yaron Been
This workflow provides automated access to the Settyan Flash V2.0.0 Beta.10 AI model through the Replicate API. It saves you time by eliminating the need to manually interact with AI models and provides a seamless integration for other generation tasks within your n8n automation workflows. Overview This workflow automatically handles the complete other generation process using the Settyan Flash V2.0.0 Beta.10 model. It manages API authentication, parameter configuration, request processing, and result retrieval with built-in error handling and retry logic for reliable automation. Model Description: Advanced AI model for automated processing and generation tasks. Key Capabilities Specialized AI model with unique capabilities** Advanced processing and generation features** Custom AI-powered automation tools** Tools Used n8n**: The automation platform that orchestrates the workflow Replicate API**: Access to the Settyan/flash-v2.0.0-beta.10 AI model Settyan Flash V2.0.0 Beta.10**: The core AI model for other generation Built-in Error Handling**: Automatic retry logic and comprehensive error management How to Install Import the Workflow: Download the .json file and import it into your n8n instance Configure Replicate API: Add your Replicate API token to the 'Set API Token' node Customize Parameters: Adjust the model parameters in the 'Set Other Parameters' node Test the Workflow: Run the workflow with your desired inputs Integrate: Connect this workflow to your existing automation pipelines Use Cases Specialized Processing**: Handle specific AI tasks and workflows Custom Automation**: Implement unique business logic and processing Data Processing**: Transform and analyze various types of data AI Integration**: Add AI capabilities to existing systems and workflows Connect with Me Website**: https://www.nofluff.online YouTube**: https://www.youtube.com/@YaronBeen/videos LinkedIn**: https://www.linkedin.com/in/yaronbeen/ Get Replicate API**: https://replicate.com (Sign up to access powerful AI models) #n8n #automation #ai #replicate #aiautomation #workflow #nocode #aiprocessing #dataprocessing #machinelearning #artificialintelligence #aitools #automation #digitalart #contentcreation #productivity #innovation
by Yaron Been
This workflow provides automated access to the Settyan Flash V2.0.2 Beta.10 AI model through the Replicate API. It saves you time by eliminating the need to manually interact with AI models and provides a seamless integration for other generation tasks within your n8n automation workflows. Overview This workflow automatically handles the complete other generation process using the Settyan Flash V2.0.2 Beta.10 model. It manages API authentication, parameter configuration, request processing, and result retrieval with built-in error handling and retry logic for reliable automation. Model Description: Advanced AI model for automated processing and generation tasks. Key Capabilities Specialized AI model with unique capabilities** Advanced processing and generation features** Custom AI-powered automation tools** Tools Used n8n**: The automation platform that orchestrates the workflow Replicate API**: Access to the Settyan/flash-v2.0.2-beta.10 AI model Settyan Flash V2.0.2 Beta.10**: The core AI model for other generation Built-in Error Handling**: Automatic retry logic and comprehensive error management How to Install Import the Workflow: Download the .json file and import it into your n8n instance Configure Replicate API: Add your Replicate API token to the 'Set API Token' node Customize Parameters: Adjust the model parameters in the 'Set Other Parameters' node Test the Workflow: Run the workflow with your desired inputs Integrate: Connect this workflow to your existing automation pipelines Use Cases Specialized Processing**: Handle specific AI tasks and workflows Custom Automation**: Implement unique business logic and processing Data Processing**: Transform and analyze various types of data AI Integration**: Add AI capabilities to existing systems and workflows Connect with Me Website**: https://www.nofluff.online YouTube**: https://www.youtube.com/@YaronBeen/videos LinkedIn**: https://www.linkedin.com/in/yaronbeen/ Get Replicate API**: https://replicate.com (Sign up to access powerful AI models) #n8n #automation #ai #replicate #aiautomation #workflow #nocode #aiprocessing #dataprocessing #machinelearning #artificialintelligence #aitools #automation #digitalart #contentcreation #productivity #innovation
by Yaron Been
This workflow provides automated access to the Settyan Flash V2.0.0 Beta.0 AI model through the Replicate API. It saves you time by eliminating the need to manually interact with AI models and provides a seamless integration for other generation tasks within your n8n automation workflows. Overview This workflow automatically handles the complete other generation process using the Settyan Flash V2.0.0 Beta.0 model. It manages API authentication, parameter configuration, request processing, and result retrieval with built-in error handling and retry logic for reliable automation. Model Description: Advanced AI model for automated processing and generation tasks. Key Capabilities Specialized AI model with unique capabilities** Advanced processing and generation features** Custom AI-powered automation tools** Tools Used n8n**: The automation platform that orchestrates the workflow Replicate API**: Access to the Settyan/flash-v2.0.0-beta.0 AI model Settyan Flash V2.0.0 Beta.0**: The core AI model for other generation Built-in Error Handling**: Automatic retry logic and comprehensive error management How to Install Import the Workflow: Download the .json file and import it into your n8n instance Configure Replicate API: Add your Replicate API token to the 'Set API Token' node Customize Parameters: Adjust the model parameters in the 'Set Other Parameters' node Test the Workflow: Run the workflow with your desired inputs Integrate: Connect this workflow to your existing automation pipelines Use Cases Specialized Processing**: Handle specific AI tasks and workflows Custom Automation**: Implement unique business logic and processing Data Processing**: Transform and analyze various types of data AI Integration**: Add AI capabilities to existing systems and workflows Connect with Me Website**: https://www.nofluff.online YouTube**: https://www.youtube.com/@YaronBeen/videos LinkedIn**: https://www.linkedin.com/in/yaronbeen/ Get Replicate API**: https://replicate.com (Sign up to access powerful AI models) #n8n #automation #ai #replicate #aiautomation #workflow #nocode #aiprocessing #dataprocessing #machinelearning #artificialintelligence #aitools #automation #digitalart #contentcreation #productivity #innovation
by Jonathan
Task: Make sure that data is in the right format before injecting it into a database/spreadsheet/CRM/etc. Why: Spreadsheets and databases require the incoming data to have the same fields as the headers of the destination table. You can decide which fields you would like to send with the database and rename them by using the set node Main use cases: Change fields names to match a database or a spreadsheet table structure Keep only the fields that are needed at the destination table
by Rahul Joshi
Description Process new resumes from Google Drive, extract structured candidate data with AI, save to Google Sheets, and auto-create a ClickUp hiring task. Gain a centralized, searchable candidate database and instant task kickoff—no manual data entry. 🚀 What This Template Does Watches a Google Drive folder for new resume PDFs and triggers the workflow. 📂 Downloads the file and converts the PDF to clean, readable text. 📄 Analyzes resume text with an AI Resume Analyzer to extract structured candidate info (name, email, phone, experience, skills, education). 🤖 Cleans and validates the AI JSON output for reliability. 🧹 Appends or updates a candidate row in Google Sheets and creates a ClickUp hiring task. ✅ Key Benefits Save hours with end-to-end, hands-off resume processing. ⏱️ Never miss a candidate—every upload triggers automatically. 🔔 Keep a single source of truth in Sheets, always up-to-date. 📊 Kickstart hiring instantly with auto-created ClickUp tasks. 🗂 Works with varied resume formats using AI extraction. 🧠 Features Google Drive “Watch for New Resumes” trigger (every minute). ⏲ PDF-to-text extraction optimized for text-based PDFs. 📘 AI-powered resume parsing into standardized JSON fields. 🧩 JSON cleanup and validation for safe storage. 🧰 Google Sheets append-or-update for a central candidate database. 📑 ClickUp task creation with candidate-specific titles and assignment. 🎯 Requirements n8n instance (cloud or self-hosted); recommended n8n version 1.106.3 or higher. 🔧 Google Drive access to a dedicated resumes folder (PDF resumes recommended). 📂 Google Sheets credential with edit access to the candidate database sheet. 📈 ClickUp workspace/project access to create tasks for hiring. 📌 AI service credentials for the Resume Analyzer step (add in n8n Credentials). 🤖 Target Audience HR and Talent Acquisition teams needing faster screening. 👥 Recruiters and staffing agencies handling high volumes. 🏢 Startups and ops teams standardizing candidate intake. 🚀 No-code/low-code builders automating hiring workflows. 🧩 Step-by-Step Setup Instructions Connect Google Drive, Google Sheets, ClickUp, and your AI service in n8n Credentials. 🔐 Set the Google Drive “watched” folder (e.g., Resume_store). 📁 Import the workflow, assign credentials to all nodes, and map your Sheets columns. 🗂️ Adjust the ClickUp task details (title pattern, assignee, list). 📝 Run once with a sample PDF to test, then enable scheduling (every 1 minute). ▶️ Optionally rename the email/task nodes for clarity (e.g., “Create Hiring Task in ClickUp”). ✍️
by AI Incarnation
This n8n template empowers IT support teams by automating document ingestion and instant query resolution through a conversational AI. It integrates Google Drive, Pinecone, and a Chat AI agent (using Google Gemini/OpenRouter) to transform static support documents into an interactive, searchable knowledge base. With two interlinked workflows—one for processing support documents and one for handling chat queries—employees receive fast, context-aware answers directly from your support documentation. Overview Document Ingestion Workflow Google Drive Trigger:** Monitors a specified folder for new file uploads (e.g., updated support documents). File Download & Extraction:** Automatically downloads new files and extracts text content. Data Cleaning & Text Splitting:** Utilizes a Code node to remove line breaks, trim extra spaces, and strip special characters, while a text splitter segments the content into manageable chunks. Embedding & Storage:** Generates text embeddings using Google Gemini and stores them in a Pinecone vector store for rapid similarity search. Chat Query Workflow Chat Trigger:** Initiates when an employee sends a support query. Vector Search & Context Retrieval:** Retrieves the top relevant document segments from Pinecone based on similarity scores. Prompt Construction:** A Code node combines the retrieved document snippets with the user’s query into a detailed prompt. AI Agent Response:** The constructed prompt is sent to an AI agent (using OpenRouter Chat Model) to generate a clear, step-by-step solution. Key Benefits & Use Case Imagine a large organization where every IT support document—from troubleshooting guides to system configurations—is stored in a single Google Drive folder. When an employee encounters an issue (e.g., “How do I reset my VPN credentials?”), they simply type the query into a chat interface. Instantly, the workflow retrieves the most relevant context from the ingested documents and provides a detailed, actionable answer. This process reduces resolution times, enhances support consistency, and significantly lightens the load on IT staff. Prerequisites A valid Google Drive account with access to the designated folder. A Pinecone account for storing and retrieving text embeddings. Google Gemini* (or *OpenRouter**) credentials to power the Chat AI agent. An operational n8n instance configured with the necessary nodes and credentials. Workflow Details 1 Document Ingestion Workflow Google Drive Trigger Node:** Listens for file creation events in the specified folder. Google Drive Download Node:** Downloads the newly added file. Extract from File Node:** Extracts text content from the downloaded file. Code Node (Data Cleaning):** Cleans the extracted text by removing line breaks, trimming spaces, and eliminating special characters. Recursive Text Splitter Node:** Segments the cleaned text into manageable chunks. Pinecone Vector Store Node:** Generates embeddings (via Google Gemini) and uploads the chunks to Pinecone. 2 Chat Query Workflow Chat Trigger Node:** Receives incoming user queries. Pinecone Vector Store Node (Query):** Searches for relevant document chunks based on the query. Code Node (Context Builder):** Sorts the retrieved documents by relevance and constructs a prompt merging the context with the query. AI Agent Node:** Sends the prompt to the Chat AI agent, which returns a detailed answer. How to Use Import the Template: Import the template into your n8n instance. Configure the Google Drive Trigger: Set the folder ID (e.g., 1RQvAHIw8cQbtwI9ZvdVV0k0x6TM6H12P) and connect your Google Drive credentials. Set Up Pinecone Nodes: Enter your Pinecone index details and credentials. Configure the Chat AI Agent: Provide your Google Gemini (or OpenRouter) API credentials. Test the Workflows: Validate the document ingestion workflow by uploading a sample support document. Validate the chat query workflow by sending a test query and verifying the returned support information. Additional Notes Ensure all credentials (Google Drive, Pinecone, and Chat AI) are correctly set up and tested before deploying the workflows in production. The template is fully customizable. Adjust the text cleaning, splitting parameters, or the number of document chunks retrieved based on your support documentation's size and structure. This template not only enhances IT support efficiency but also offers a scalable solution for managing and leveraging growing volumes of support content.
by usamaahmed
🚀 HR Resume Screening Workflow — Smart Hiring on Autopilot 🤖 🎯 Overview: "This workflow builds an AI-powered resume screening system inside n8n. It begins with Gmail and Form triggers that capture incoming resumes, then uploads each file to Google Drive for storage. The resume is downloaded and converted into plain text, where two branches run in parallel: one extracts structured contact details, and the other uses an AI agent to summarize education, job history, and skills while assigning a suitability score. A cleanup step normalizes the data before merging both outputs, and the final candidate record is saved into Google Sheets and Airtable, giving recruiters a centralized dashboard to identify top talent quickly and consistently.” 🔑 Prerequisites: To run this workflow successfully, you’ll need: Gmail OAuth** → to read incoming resumes. Google Drive OAuth** → to upload and download resume files. Google Sheets OAuth** → to save structured candidate records. Airtable Personal Access Token** → for dashboards and record-keeping. OpenAI / OpenRouter API Key** → to run the AI summarizer and evaluator. ⚙️ Setup Instructions: Import the Workflow Clone or import the workflow into your n8n instance. Add Credentials Go to n8n → Credentials and connect Gmail, Google Drive, Google Sheets, Airtable, and OpenRouter/OpenAI. Configure Key Nodes Gmail Trigger → Update filters.q with the job title you are hiring for (e.g., "Senior Software Engineer"). Google Drive Upload → Set the folderId where resumes will be stored. Google Sheets Node → Link to your HR spreadsheet (e.g., “Candidates 2025”). Airtable Node → Select the correct base & table schema for candidate records. Test the Workflow Send a test resume (via email or form). Check Google Sheets & Airtable for structured candidate data. Go Live Enable the workflow. It will now run continuously and process new resumes as they arrive. 📊 End-to-End Workflow Walkthrough: 🟢 Section 1 – Entry & Intake Nodes: 📧 Gmail Trigger → Polls inbox every minute, captures job application emails, and downloads resume attachments (CV0, CV1, …). 🌐 Form Trigger → Alternate entry for resumes submitted via a careers page or job portal. ✅ Quick Understanding: Think of this section as the front desk of recruitment - resumes received either by email or online form, and the system immediately grabs them for processing. 📂 Section 2 – File Management Nodes: ☁️ Upload File (Google Drive) → Saves the incoming resume into a structured Google Drive folder, naming it after the applicant. ⬇️ Download File (Google Drive) → Retrieves the stored resume file for further processing. 🔎 Extract from File → Converts the resume (PDF/DOC) into plain text so the AI and extractors can work with it. ✅ Quick Understanding: This is your digital filing room. Every resume is safely stored, then converted into a readable format for the hiring system. 🤖 Section 3 – AI Processing (Parallel Analysis) Nodes: 🧾 Information Extractor → Pulls structured contact information (candidate name, candidate email and candidate phone number) using regex validation and schema rules. 🤖 AI Agent (LangChain + OpenRouter) → Reads the full CV and outputs: 🎓 Educational Qualifications 💼 Job History 🛠 Skills Set 📊 Candidate Evaluation Score (1–10) 📝 Justification for the score ✅ Quick Understanding: Imagine having two assistants working in parallel, one quickly extracts basic contact info, while the other deeply reviews the CV and gives an evaluation. 🛠️ Section 4 – Data Cleanup & Merging Nodes: ✏️ Edit Fields → Standardizes the AI Agent’s output into a consistent field (output). 🛠 Code (JS Parsing & Cleanup) → Converts the AI’s free-text summary into clean JSON fields (education, jobHistory, skills, score, justification). 🔗 Merge → Combines the structured contact info with the AI’s evaluation into a single candidate record. ✅ Quick Understanding: This is like the data cleaning and reporting team, making sure all details are neat, structured, and merged into one complete candidate profile. 📊 Section 5 – Persistence & Dashboards Nodes: 📑 Google Sheets (Append Row) → Saves candidate details into a Google Sheet for quick team access. 🗄 Airtable (Create Record) → Stores the same structured data into Airtable, enabling dashboards, analytics, and ATS-like tracking. ✅ Quick Understanding: Think of this as your HR dashboard and database. Every candidate record is logged in both Google Sheets and Airtable, ready for filtering, reporting, or further action. 📊 Workflow Overview Table: | Section | Key Roles / Nodes | Model / Service | Purpose | Benefit | | --- | --- | --- | --- | --- | | 📥 Entry & Intake | Gmail Trigger, Form Trigger | Gmail API / Webhook | Capture resumes from email or forms | Resumes collected instantly from multiple sources | | 📂 File Management | Google Drive Upload, Google Drive Download, Extract from File | Google Drive + n8n Extract | Store resumes & convert to plain text | Centralized storage + text extraction for processing | | 🤖 AI Processing | Information Extractor, AI Agent (LangChain + OpenRouter) | Regex + OpenRouter AI {gpt-oss-20b (free)} | Extract contact info + AI CV analysis | Candidate details + score + justification generated automatically | | 🛠 Data Cleanup & Merge | Edit Fields, Code (JS Parsing & Cleanup), Merge | n8n native + Regex Parsing | Standardize and merge outputs | Clean, structured JSON record with all candidate info | | 📊 Persistence Layer | Google Sheets Append Row, Airtable Create Record | Google Sheets + Airtable APIs | Store structured candidate data | HR dashboards & ATS-ready records for easy review and analytics | | 🔄 Execution Flow | All connected | Gmail + Drive + Sheets + Airtable + AI | End-to-end automation | Automated resume → structured record → recruiter dashboards | 📂 Workflow Output Overview: Each candidate’s data is standardized into the following fields: Candidate Name Candidate Email Contact Number Educational Qualifications Job History Skills Set AI Score (1–10) Justification 📌 Example (Google Sheet row): 📊 Benefits of This Workflow at a Glance: ⏱️ Lightning-Fast Screening** → Processes hundreds of resumes in minutes instead of hours. 🤖 AI-Powered Evaluation** → Automatically summarizes candidate education, work history, skills, and gives a suitability score (1–10) with justification. 📂 Centralized Storage** → Every resume is securely saved in Google Drive for easy access and record-keeping. 📊 Data-Ready Outputs** → Structured candidate profiles go straight into Google Sheets and Airtable, ready for dashboards and analytics. ✅ Consistency & Fairness** → Standardized AI scoring ensures every candidate is evaluated on the same criteria, reducing human bias. 🛠️ Flexible Intake** → Works with both Gmail (email applications) and Form submissions (job portals or career pages). 🚀 Recruiter Productivity Boost** → Frees HR teams from manual extraction and data entry, allowing them to focus on interviewing and hiring the best talent. 👉 Practical HR Use Case: “Screen resumes for a Senior Software Engineer role and shortlist top candidates.” Gmail Trigger → Captures incoming job applications with CVs attached. Google Drive → Stores resumes for record-keeping. Extract from File → Converts CVs into plain text. Information Extractor → Pulls candidate name, email, and phone number. AI Agent → Summarizes education, job history, skills, and assigns a suitability score (1–10). Code & Merge → Cleans and combines outputs into a structured candidate profile. Google Sheets → Logs candidate data for quick HR review. Airtable → Builds dashboards to filter and identify top-scoring candidates. ✅ Result: HR instantly sees structured candidate records, filters by score, and focuses interviews on the best talent.
by Yaron Been
This workflow provides automated access to the Creativeathive Lemaar Doorhandle Newset AI model through the Replicate API. It saves you time by eliminating the need to manually interact with AI models and provides a seamless integration for other generation tasks within your n8n automation workflows. Overview This workflow automatically handles the complete other generation process using the Creativeathive Lemaar Doorhandle Newset model. It manages API authentication, parameter configuration, request processing, and result retrieval with built-in error handling and retry logic for reliable automation. Model Description: Advanced AI model for automated processing and generation tasks. Key Capabilities Specialized AI model with unique capabilities** Advanced processing and generation features** Custom AI-powered automation tools** Tools Used n8n**: The automation platform that orchestrates the workflow Replicate API**: Access to the Creativeathive/lemaar-doorhandle-newset AI model Creativeathive Lemaar Doorhandle Newset**: The core AI model for other generation Built-in Error Handling**: Automatic retry logic and comprehensive error management How to Install Import the Workflow: Download the .json file and import it into your n8n instance Configure Replicate API: Add your Replicate API token to the 'Set API Token' node Customize Parameters: Adjust the model parameters in the 'Set Other Parameters' node Test the Workflow: Run the workflow with your desired inputs Integrate: Connect this workflow to your existing automation pipelines Use Cases Specialized Processing**: Handle specific AI tasks and workflows Custom Automation**: Implement unique business logic and processing Data Processing**: Transform and analyze various types of data AI Integration**: Add AI capabilities to existing systems and workflows Connect with Me Website**: https://www.nofluff.online YouTube**: https://www.youtube.com/@YaronBeen/videos LinkedIn**: https://www.linkedin.com/in/yaronbeen/ Get Replicate API**: https://replicate.com (Sign up to access powerful AI models) #n8n #automation #ai #replicate #aiautomation #workflow #nocode #aiprocessing #dataprocessing #machinelearning #artificialintelligence #aitools #automation #digitalart #contentcreation #productivity #innovation
by Blaine Holt
WhatsApp Booking Flow | Consultation Scheduling This n8n template automates appointment booking via WhatsApp Flows with real-time calendar availability, AI-powered intent classification, and CRM synchronization. It transforms manual booking conversations into a seamless self-service experience directly within WhatsApp. Who is this for? Service businesses wanting WhatsApp-based appointment booking Consultants and agencies offering scheduled calls or consultations Teams using Airtable for CRM and Google Calendar for scheduling Businesses looking to reduce booking friction with conversational commerce What problem does this workflow solve? Appointment booking typically involves back-and-forth messaging to find available times, collect customer details, and confirm bookings. This workflow eliminates that friction by providing an interactive booking flow within WhatsApp that checks real-time calendar availability, collects customer information, and automatically syncs bookings to your CRM and calendar. How it works Webhook Entry Point: A single webhook handles both GET (Meta verification) and POST (messages/flows) requests - required due to Meta's single-webhook-per-app restriction. Message Routing: Incoming requests are classified as either regular WhatsApp messages or encrypted Flow requests, then routed accordingly. WhatsApp Flow Handling: Flow requests are decrypted using RSA/AES-GCM encryption. The workflow handles multiple Flow actions: INIT: Returns consultation types and date constraints SERVICE_SELECTION: Processes service and customer details DATE_TIME_SELECTION: Queries calendar availability for selected date CONFIRMATION: Displays booking summary COMPLETE_BOOKING: Finalizes the booking AI Agent: For regular text messages, an OpenAI-powered agent classifies user intent. When booking intent is detected, it triggers the consultation template with the WhatsApp Flow. Booking Process: On completion, the workflow: Creates or updates customer in Airtable Creates booking record with event details Creates Google Calendar event Sends WhatsApp confirmation message Good to Know Verify Token: The WHATSAPP_VERIFY_TOKEN environment variable is required for Meta webhook verification. Set this to any secure string and use the same value in Meta Developer Portal. Cloud vs Self-hosted: Cloud n8n instances are easier to configure as they have public URLs. Self-hosted instances require additional setup for public accessibility. Hostinger/Docker Setup: For self-hosted instances, configure public webhook access in your docker-compose.yml or reverse proxy configuration. Meta Prerequisites: You'll need: Facebook Account Meta Developer App WhatsApp Business Account (linked to Developer App) WhatsApp Business Phone Number Health Checks: Meta sends periodic ping requests to verify webhook availability. The workflow handles these automatically with a 200 response. Single Webhook Restriction: Meta only allows one webhook URL per WhatsApp app, which is why all message types flow through a single endpoint with routing logic. Encryption: WhatsApp Flows use end-to-end encryption. The workflow handles RSA decryption (for AES key exchange) and AES-128-GCM encryption/decryption for Flow data. Requirements Meta Business Account with WhatsApp Business API access WhatsApp Business App in Meta Developer Portal n8n instance (cloud or self-hosted with public URL) OpenAI API key (for intent classification with GPT-4o) Airtable account with base containing: Customers, Services, Bookings tables Google Calendar with OAuth credentials Environment Variables | Variable | Description | |----------|-------------| | WHATSAPP_VERIFY_TOKEN | Webhook verification token (match in Meta Developer Portal) | | WHATSAPP_PRIVATE_KEY | RSA private key for Flow encryption (PEM format) | | WHATSAPP_PRIVATE_KEY_PASSPHRASE | Passphrase for the RSA private key | | GOOGLE_CALENDAR_ID | Calendar ID for availability checks and event creation | Setup Meta Business Setup Create a Meta Developer App at developers.facebook.com Add WhatsApp product to your app Set up a WhatsApp Business Account Generate a permanent access token Import Workflow Import personal-booking-whatsapp-flow.json into n8n Replace placeholder credential IDs with your actual credentials Configure Credentials WhatsApp: HTTP Bearer Auth with your access token OpenAI: API key for GPT-4o Airtable: OAuth2 authentication Google Calendar: OAuth2 authentication Set Environment Variables Configure all variables listed above in n8n settings Configure Webhook in Meta Navigate to WhatsApp > Configuration in Developer Portal Set webhook URL to your n8n webhook endpoint Enter your verify token Subscribe to messages webhook field Create WhatsApp Flow In WhatsApp Manager, create a new Flow Use the JSON from whatsapp-flow.json as your Flow definition Publish the Flow and note the Flow ID Create Message Template Create a template with a Flow button component Link it to your published Flow Submit for approval Airtable Schema Customers Table: customer_name (text) customer_email (email) phone_number (text) created_at (date) Services Table: service_name (text) service_key (text) - e.g., "30_min", "60_min" duration_minutes (number) Bookings Table: customer_email (text) service_type (linked to Services) event_date (date) event_time (text) booking_status (select: Pending, Confirmed, Cancelled) calendar_event_id (text) created_at (date) Customizing this workflow Consultation Types: Modify the INIT handler code node to add/change consultation options and durations. Business Hours: Adjust the calendar availability logic in the date refresh handler to match your working hours. AI Agent Prompts: Customize the system prompt in the AI Agent node to match your business context and available services. Messaging Templates: Create additional WhatsApp templates for different services (quotes, information requests) and add corresponding tools to the AI agent. CRM Fields: Extend the Airtable schema and update the booking creation nodes to capture additional customer data. Made by www.fenrirlabs.nl