Workflow Templates

This workflow demonstrates the use of static data in n8n. The workflow is built on the concept of polling. Cron node: The Cron node triggers the workflow every minute. You can configure the time based on your use-case. HTTP Request node: This node makes an HTTP Request to an API that returns the position of the ISS. Set node: In the Set node we set the information that we need in the workflow. Since we only need the timestamp, latitude, and longitude we set this in the node. If you need other information, you can set them in this node. Function node: The Function node, checks if the incoming data is similar to the data that was returned in the previous execution or not. If the data is different the Function node returns this new node, otherwise, it returns a message 'No New Items'. The data is also stored as static data with the workflow. Based on your use-case, you can build the workflow further. For example, you can use it send updates to Mattermost or Slack

🎨 AI Image Generator with Flux AI Generate realistic, high-quality images from text prompts using the Flux AI Text-to-Image Generator API via RapidAPI, and seamlessly store the results in Google Drive and log them in Google Sheets — all automated using n8n. 🧠 What This Workflow Does This no-code automation enables you to: 🖋️ Enter a custom text prompt using a web form. 🖼️ Generate a photorealistic image using Flux AI’s Text-to-Image Generator via RapidAPI. ☁️ Upload the image to Google Drive. 📊 Log the prompt and result in a Google Sheet. ⚠️ Capture and log errors in a fallback sheet. 💡 Use Case Ideal for: Digital artists and marketers Social media managers Brand mockup creators Rapid concept prototyping All without writing a single line of code. ✅ Benefits No-code automation** for AI-generated images Cloud storage** and structured logging Error handling** built-in Fast content creation** for design, branding, or concept testing Powered by* the Flux AI Text-to-Image Generator API via *RapidAPI** 🧩 Node-by-Node Breakdown 1. 📝 On Form Submission Accepts user input for a creative text prompt. 🔍 Example: “A silver can with vapor and blue lightning background.” 💡 Benefit: No technical knowledge needed. 2. 🌐 HTTP Request — Flux AI API Sends the prompt to the Flux AI Text-to-Image Generator API via RapidAPI. 📦 Returns an image encoded in base64. 💡 Benefit: Seamless integration with cutting-edge image generation. 3. 🧪 Code Node — Base64 Decoder Converts the base64 image to a binary .jpg file. 💡 Benefit: Readies the image for upload/download/sharing. 4. 📁 Google Drive Uploads the generated image to your Google Drive folder. 💡 Benefit: Secure, sharable cloud storage. 5. 📊 Google Sheets — Success Log Appends a row with the original prompt, filename, and generation date. 💡 Benefit: Tracks history of all generated images. 6. ⚠️ IF Node — Error Detection Checks if the image generation failed. 💡 Benefit: Prevents workflow from halting and routes to error logging. 7. 📉 Google Sheets — Error Log Logs failed prompts and error messages. 💡 Benefit: Helps identify what went wrong (e.g. malformed prompt). 🛠️ Challenges Solved | Problem | How This Workflow Fixes It | |--------|-----------------------------| | Manual prompt-based image generation is slow | Fully automated with Flux AI | | No storage pipeline for generated images | Integrated with Google Drive | | No audit trail for prompts/images | Logged into Google Sheets | | Errors go unnoticed in image generation | Built-in error check and logging | | Users lack API access or dev experience | Friendly web form UI | 🔗 API Spotlight This workflow is powered by the Flux AI Text-to-Image Generator API — available exclusively on RapidAPI. Why use this API? Ultra-fast text-to-image rendering High-resolution results Developer-friendly and cost-effective Great for branding, mockups, and visuals We’ve integrated this API to make advanced image generation accessible with just a prompt — no AI or dev experience required.

How to use Get a .csv file with your contacts (you can download this from any contact manager app) Set API key for Google Drive API, and Notion (you need to create a "connection" in Notion) Create Database for your contacts in Notion Choose which properties to extract from the .csv and pass it in to the Notion database. Right now, it transfer 4 pieces of information: full name, email, phone, and company.

Automate your post-event networking with this intelligent n8n workflow. Triggered instantly after an event, it collects attendee and interaction data, enriches profiles with LinkedIn insights, and uses GPT-4 to analyze engagement and generate tailored follow-up messages. High-value leads are prioritized, messages are sent via email, LinkedIn, or Slack, and all activity is logged in your CRM and database. Save hours of manual follow-up while boosting relationship-building and ROI. 🤝✨ Advanced Features Webhook automation** – Starts instantly on event completion Multi-Source Enrichment** – Combines event data, interactions, and LinkedIn profiles AI-Powered Insights** – GPT-4 analyzes behavior and suggests personalized talking points Smart Priority Filtering** – Routes leads into High, Medium, and Low priority paths Personalized Content Generation** – AI crafts custom emails and LinkedIn messages Multi-Channel Outreach** – Sends via Email, LinkedIn DM, and Slack CRM Integration** – Automatically updates HubSpot with contact notes and engagement PostgreSQL Logging** – Stores full interaction history and analytics ROI Dashboard** – Tracks response rates, meetings booked, and pipeline impact What It Does Collects attendee data from your event platform Enriches with LinkedIn profiles & real-time interaction logs Scores networking potential using engagement algorithms Uses AI to analyze conversations, roles, and mutual interests Generates hyper-personalized follow-up emails and LinkedIn messages Sends messages through preferred channels (email, LinkedIn, Slack) Updates HubSpot CRM with follow-up status and next steps Logs all actions and tracks analytics for performance reporting Workflow Process The Webhook Trigger initiates the workflow via POST request with event and attendee data. Get Attendees** fetches participant list from the event platform. Get Interactions** pulls Q&A, chat, poll, and networking activity logs. Enrich LinkedIn Data** retrieves professional profiles, job titles, and company details via LinkedIn API. Merge & Enrich Data** combines all sources into a unified lead profile. AI Analyze Profile** uses GPT-4 to evaluate interaction depth, role relevance, and conversation context. Filter High Priority** routes top-tier leads (e.g., decision-makers with strong engagement). Filter Medium Priority** handles warm prospects for lighter follow-up. AI Agent1** generates personalized email content using chat model and memory. Generate Email** creates a professional, context-aware follow-up email. Send Email** delivers the message to the lead’s inbox. AI Agent2** crafts a concise, friendly LinkedIn connection message. Generate LinkedIn Msg** produces a tailored outreach note. Send LinkedIn** posts the message via LinkedIn API. Slack Notification** alerts your team in real-time about high-priority outreach. Update CRM (HubSpot)** adds contact, tags, and follow-up tasks automatically. Save to Database (Insert)** logs full lead journey and message content in PostgreSQL. Generate Analytics** compiles engagement metrics and success rates. Send Response** confirms completion back to the event system. Setup Instructions Import the workflow JSON into n8n Configure credentials: Event Platform API (for attendees & interactions) LinkedIn API (OAuth2) OpenAI (GPT-4) SMTP (for email) or Email Service (SendGrid, etc.) HubSpot API Key PostgreSQL Database Slack Webhook URL Trigger with a webhook POST containing event ID and settings Watch personalized outreach happen automatically! Prerequisites Event platform with webhook + attendee/interaction API LinkedIn Developer App with API access OpenAI API key with GPT-4 access HubSpot account with API enabled PostgreSQL database (table for leads & logs) Slack workspace (optional, for team alerts) Example Webhook Payload { "eventId": "evt_spring2025", "eventName": "Annual Growth Summit", "triggerFollowUp": true, "priorityThreshold": { "high": 75, "medium": 50 } } Modification Options Adjust scoring logic in AI Analyze Profile (e.g., weight Q&A participation higher) Add custom email templates in Generate Email with your brand voice Include meeting booking links (Calendly) in high-priority messages Route VIP leads to Send SMS via Twilio Export analytics to Google Sheets or BI tools (Looker, Tableau) Add approval step before sending LinkedIn messages Ready to 10x your event ROI? Get in touch with us for custom n8n automation!

🔥 Automated Daily Firecrawl Scraper with Telegram Alerts Get structured insights scraped daily from the web using Firecrawl’s AI extraction engine — then send them directly to your Telegram chat. 🧰 What this workflow does: This workflow automatically scrapes specific structured data from any webpage every day at a scheduled time using the Firecrawl API, checks if results are returned, and then sends the formatted results to Telegram. For step-by-step video tutorials of n8n builds, check out my channel: https://www.youtube.com/@Automatewithmarc 🧭 How It Works: 🕐 Schedule Trigger (Daily at 6PM) Starts the workflow every day at a set time. 🌐 Firecrawl POST Request Sends a custom extraction prompt and schema to Firecrawl, targeting any list of URLs you provide. ⏳ 30 Seconds Wait Waits to give Firecrawl enough time to complete processing. 📥 GET Firecrawl Result Fetches the extraction results using the request ID. 🔁 Loop with IF Node Checks whether data is returned. If not, waits another 15 seconds and retries. 🧹 Format & Clean (Set Node) Prepares and formats the extracted result into a readable message. 📲 Telegram Message Node Delivers the structured data directly to your Telegram channel or group. 🔧 Requirements: ✅ Firecrawl API Key (Header Auth) ✅ Telegram Bot Token & Chat ID 💡 Use Cases: Extract structured data (like product info or events) from niche websites Automate compliance monitoring or intelligence gathering Create market alert bots with real-time info delivery 🛠 Customization Ideas: Swap Telegram with Gmail, Discord, or Slack Expand schema to include more complex nested fields Add a Google Sheet node to log daily scraped data Integrate with a summarizer or language model for intelligent summaries Ready to automate your web intelligence gathering? 🧠 Let Firecrawl do the scraping — and let this workflow do the rest.

Description This powerful n8n automation template enables seamless synchronization between Zoho Inventory and Supabase—keeping your product database up to date with zero manual effort. Whether you’re running an eCommerce store, inventory dashboard, or product catalog app, this workflow ensures your data pipeline stays clean, consistent, and fully automated. What This Template Does: 🔁 Runs on a schedule to fetch inventory data from Zoho 🔓 Authenticates via OAuth using refresh token for secure API access 📦 Fetches products & variants with complete metadata 🔄 Splits each item and maps it into Supabase row-by-row 📊 Pushes rich product data, including name, SKU, unit, tags, stock levels, dimensions, and up to 3 custom attributes Fields Included in Sync: Product ID, Variant ID, Variant Name, Brand, SKU Returnability, Item Type, Unit, Attributes (1–3) Tags, Stock on Hand, UPC/EAN/ISBN, Status Reorder Level, Dimensions, Created Time, and more Requirements: Zoho Inventory API access (with Refresh Token) Supabase account & API key Target table (e.g., Fairy Frills) set up in Supabase Optional: Custom field mapping for additional use cases Perfect For: Inventory managers syncing Zoho to custom dashboards D2C brands and eCommerce platforms powered by Supabase Internal tooling teams needing a real-time product database sync Startups replacing spreadsheets with a production-grade backend

This AI-powered workflow reads emails, understands the request using an LLM, and creates structured Jira issues. Key Insights Poll for new emails every 5 minutes; ensure Gmail/IMAP is properly configured. AI analysis requires a reliable LLM model (e.g., Chat Model or AI Tool). Workflow Process Trigger the workflow with the Check for New Emails Gmail Trigger node. Fetch full email content using the Fetch Full Email Content get message node. Analyze email content with the Analyze Email & Extract Tasks node using AI. Parse the AI-generated JSON output into tasks with the Parse JSON Output from AI node. Create the main Jira issue with the Jira - Create Main Issue create: issue node. Split subtasks from JSON and create them with the Split Subtasks JSON Items and Create Subtasks create: issue nodes. Usage Guide Import the workflow into n8n and configure Gmail and Jira credentials. Test with a sample email to ensure ticket creation and subtask assignment. Prerequisites Gmail/IMAP credentials for email polling Jira API credentials with issue creation permissions Customization Options Adjust the Analyze Email & Extract Tasks node to refine AI task extraction or modify the polling frequency in the trigger node.

This workflow provides automated access to the Black Forest Labs Flux Krea Dev 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 image generation tasks within your n8n automation workflows. Overview This workflow automatically handles the complete image generation process using the Black Forest Labs Flux Krea Dev 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: An opinionated text-to-image model from Black Forest Labs in collaboration with Krea that excels in photorealism. Creates images that avoid the oversaturated "AI look". Key Capabilities High-quality image generation from text prompts** Advanced AI-powered visual content creation** Customizable image parameters and styles** Text-to-image transformation capabilities** Tools Used n8n**: The automation platform that orchestrates the workflow Replicate API**: Access to the Black Forest Labs/flux-krea-dev AI model Black Forest Labs Flux Krea Dev**: The core AI model for image 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 Image Parameters' node Test the Workflow: Run the workflow with your desired inputs Integrate: Connect this workflow to your existing automation pipelines Use Cases Content Creation**: Generate unique images for blogs, social media, and marketing materials Design Prototyping**: Create visual concepts and mockups for design projects Art & Creativity**: Produce artistic images for personal or commercial use Marketing Materials**: Generate eye-catching visuals for campaigns and advertisements 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 #imagegeneration #aiart #texttoimage #visualcontent #aiimages #generativeart #flux #machinelearning #artificialintelligence #aitools #automation #digitalart #contentcreation #productivity #innovation

This automated n8n workflow qualifies B2B leads via voice calls using the VAPI API and integrates the collected data into Google Sheets. It triggers when a new lead’s phone number is added, streamlining lead qualification and data capture. What is VAPI? VAPI is an API service that enables voice call automation, used here to qualify leads by capturing structured data through interactive calls. Good to Know VAPI API calls may incur costs based on usage; check VAPI pricing for details. Ensure Google Sheets access is properly authorized to avoid data issues. Use credential fields for the HTTP Request node 'Bearer token' instead of hardcoding. Use a placeholder Google Sheet document ID (e.g., "your-sheet-id-placeholder") to avoid leaking private data. How It Works Detect when a new phone number is added for a lead using the New Lead Captured node. Use the Receive Lead Details from VAPI node to capture structured data (name, company, challenges) via a POST request. Trigger an outbound VAPI call to qualify the lead with the Initiate Voice Call (VAPI) node. Store the collected data into a Google Sheet using the Save Qualified Lead to CRM Sheet node. Send a success response back to VAPI with the Send Call Data Acknowledgement node. How to Use Import the workflow into n8n. Configure VAPI API credentials in the HTTP Request node using credential fields. Set up Google Sheets API access and authorize the app. Create a Google Sheet with the following columns: Name (text), Company (text), Challenges (text), Date (date). Test with a sample lead phone number to verify call initiation and data storage. Adjust the workflow as needed and retest. Requirements VAPI API credentials Google Sheets API access Customizing This Workflow Modify the Receive Lead Details from VAPI node to capture additional lead fields or adjust call scripts for specific industries.

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. This workflow automatically analyzes purchase trends and consumer behavior patterns to identify market opportunities and optimize business strategies. It saves you time by eliminating the need to manually analyze sales data and provides insights into buying patterns, seasonal trends, and customer preferences. Overview This workflow automatically scrapes e-commerce platforms, marketplace data, and sales analytics to extract purchase trends, product popularity, and consumer behavior insights. It uses Bright Data to access sales data and AI to intelligently analyze purchasing patterns, seasonal trends, and market opportunities. Tools Used n8n**: The automation platform that orchestrates the workflow Bright Data**: For scraping e-commerce and marketplace platforms without being blocked OpenAI**: AI agent for intelligent purchase trend analysis and forecasting Google Sheets**: For storing purchase trend data and analysis results 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 MCP Client node Set Up OpenAI: Configure your OpenAI API credentials Configure Google Sheets: Connect your Google Sheets account and set up your trend analysis spreadsheet Customize: Define target marketplaces and trend analysis parameters Use Cases E-commerce Strategy**: Identify trending products and market opportunities Product Development**: Understand consumer preferences and demand patterns Marketing Planning**: Optimize campaigns based on seasonal purchase trends Business Intelligence**: Make data-driven decisions using market trend insights 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 #purchasetrends #marketanalysis #brightdata #webscraping #ecommerce #n8nworkflow #workflow #nocode #trendanalysis #consumerinsights #marketresearch #salesanalytics #businessintelligence #markettrends #customerinsights #ecommerceanalysis #salesdata #marketforecasting #consumerdata #purchaseanalysis #retailanalytics #marketinsights #demandforecasting #salestrends #consumertrends #marketintelligence #buyingpatterns #marketdemand

Free template for voice & text messages with short-term memory This n8n workflow template is a blueprint for an AI Telegram bot that processes both voice and text messages. Ready to use with minimal setup. The bot remembers the last several messages (10 by default), understands commands and provides responses in HTML. You can easily swap GPT-4 and Whisper for other language and speech-to-text models to suit your needs. Core Features Text: send or forward messages Voice: transcription via Whisper Extend this template by adding LangChain tools. Requirements Telegram Bot API OpenAI API (for GPT-4 and Whisper) 💡 New to Telegram bots? Check our step-by-step guide on creating your first bot and setting up OpenAI access. Use Cases Personal AI assistant Customer support automation Knowledge base interface Integration hub for services that you use: Connect to any API via HTTP Request Tool Trigger other n8n workflows with Workflow Tool

🚀 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.