OpenAI and Slack integration

How it Works This workflow automates intelligent Reddit marketing by monitoring brand mentions, analyzing sentiment with AI, and engaging authentically with communities. Every 24 hours, the system searches Reddit for posts containing your configured brand keywords across all subreddits, finding up to 50 of the newest mentions to analyze. Each discovered post is sent to OpenAI's GPT-4o-mini model for comprehensive analysis. The AI evaluates sentiment (positive/neutral/negative), assigns an engagement score (0-100), determines relevance to your brand, and generates contextual, helpful responses that add genuine value to the conversation. It also classifies the response type (educational/supportive/promotional) and provides reasoning for whether engagement is appropriate. The workflow intelligently filters posts using a multi-criteria system: only posts that are relevant to your brand, score above 60 in engagement quality, and warrant a response type other than "pass" proceed to engagement. This prevents spam and ensures every interaction is meaningful. Selected posts are processed one at a time through a loop to respect Reddit's rate limits. For each worthy post, the AI-generated comment is posted, and complete interaction data is logged to Google Sheets including timestamp, post details, sentiment, engagement scores, and success status. This creates a permanent audit trail and analytics database. At the end of each run, the workflow aggregates all data into a comprehensive daily summary report with total posts analyzed, comments posted, engagement rate, sentiment breakdown, and the top 5 engagement opportunities ranked by score. This report is automatically sent to Slack with formatted metrics, giving your team instant visibility into your Reddit marketing performance. Who is this for? Brand managers and marketing teams** needing automated social listening and engagement on Reddit Community managers** responsible for authentic brand presence across multiple subreddits Startup founders and growth marketers** who want to scale Reddit marketing without hiring a team PR and reputation teams** monitoring brand sentiment and responding to discussions in real-time Product marketers** seeking organic engagement opportunities in product-related communities Any business** that wants to build authentic Reddit presence while avoiding spammy marketing tactics Setup Steps Setup time:** Approx. 30-40 minutes (credential configuration, keyword setup, Google Sheets creation, Slack integration) Requirements:** Reddit account with OAuth2 application credentials (create at reddit.com/prefs/apps) OpenAI API key with GPT-4o-mini access Google account with a new Google Sheet for tracking interactions Slack workspace with posting permissions to a marketing/monitoring channel Brand keywords and subreddit strategy prepared Create Reddit OAuth Application: Visit reddit.com/prefs/apps, create a "script" type app, and obtain your client ID and secret Configure Reddit Credentials in n8n: Add Reddit OAuth2 credentials with your app credentials and authorize access Set up OpenAI API: Obtain API key from platform.openai.com and configure in n8n OpenAI credentials Create Google Sheet: Set up a new sheet with columns: timestamp, postId, postTitle, subreddit, postUrl, sentiment, engagementScore, responseType, commentPosted, reasoning Configure these nodes: Brand Keywords Config: Edit the JavaScript code to include your brand name, product names, and relevant industry keywords Search Brand Mentions: Adjust the limit (default 50) and sort preference based on your needs AI Post Analysis: Customize the prompt to match your brand voice and engagement guidelines Filter Engagement-Worthy: Adjust the engagementScore threshold (default 60) based on your quality standards Loop Through Posts: Configure max iterations and batch size for rate limit compliance Log to Google Sheets: Replace YOUR_SHEET_ID with your actual Google Sheets document ID Send Slack Report: Replace YOUR_CHANNEL_ID with your Slack channel ID Test the workflow: Run manually first to verify all connections work and adjust AI prompts Activate for daily runs: Once tested, activate the Schedule Trigger to run automatically every 24 hours Node Descriptions (10 words each) Daily Marketing Check - Schedule trigger runs workflow every 24 hours automatically daily Brand Keywords Config - JavaScript code node defining brand keywords to monitor Reddit Search Brand Mentions - Reddit node searches all subreddits for brand keyword mentions AI Post Analysis - OpenAI analyzes sentiment, relevance, generates contextual helpful comment responses Filter Engagement-Worthy - Conditional node filters only high-quality relevant posts worth engaging Loop Through Posts - Split in batches processes each post individually respecting limits Post Helpful Comment - Reddit node posts AI-generated comment to worthy Reddit discussions Log to Google Sheets - Appends all interaction data to spreadsheet for permanent tracking Generate Daily Summary - JavaScript aggregates metrics, sentiment breakdown, generates comprehensive daily report Send Slack Report - Posts formatted daily summary with metrics to team Slack channel

Revolutionize your recruitment process with intelligent AI-driven candidate screening that evaluates resumes, scores applicants, and automatically routes them based on fit - saving 10-15 hours per week on initial screening. 🎯 What This Workflow Does Transforms your hiring pipeline from manual resume review to intelligent automation: 📝 Captures Applications - Jotform intake with resume upload 🤖 AI Resume Analysis - OpenAI parses skills, experience, education, and red flags 🎯 Intelligent Scoring - Evaluates candidates against job requirements with structured scoring (0-100) 🚦 Smart Routing - Automatically routes based on AI recommendation: Strong Yes (85-100): Instant Slack alert → Interview invitation Maybe/Yes (60-84): Manager review → Approval workflow No (<60): Polite rejection email 📊 Analytics Tracking - All data logged to Google Sheets for hiring insights ✨ Key Features AI Resume Parsing**: Extracts structured data from any resume format Intelligent Scoring System**: Multi-dimensional evaluation (skills match, experience quality, cultural fit) Structured Output**: Consistent JSON schema ensures reliable data for decision-making Automated Communication**: Personalized emails for every candidate outcome Human-in-the-Loop**: Manager approval for borderline candidates Comprehensive Analytics**: Track conversion rates, average scores, and hiring metrics Customizable Job Requirements**: Easy prompt editing to match any role 💼 Perfect For Startups & Scale-ups**: Processing 50+ applications per week HR Teams**: Wanting to reduce time-to-hire by 40-60% Technical Recruiters**: Screening engineering, product, or design roles Growing Companies**: Scaling hiring without scaling headcount 🔧 What You'll Need Required Integrations Jotform** - Application intake form (free tier works) Create your form for free on Jotform using this link OpenAI API** - GPT-4o-mini for cost-effective AI analysis (~$0.15 per candidate) Gmail** - Automated candidate communication Google Sheets** - Hiring database and analytics Optional Integrations Slack** - Instant alerts for hot candidates Linear/Asana** - Task creation for interview scheduling Calendar APIs** - Automated interview booking 🚀 Quick Start Import Template - Copy JSON and import into n8n Create Jotform - Use provided field structure (name, email, resume upload, etc.) Add API Keys - OpenAI, Jotform, Gmail, Google Sheets Customize Job Requirements - Edit AI screening prompt with your role details Personalize Emails - Update templates with your company branding Test & Deploy - Submit test application and verify all nodes 🎨 Customization Options Adjust Scoring Thresholds**: Change routing logic based on your needs Multiple Positions**: Clone workflow for different roles with unique requirements Add Technical Assessments**: Integrate HackerRank, CodeSignal, or custom tests Interview Scheduling**: Connect Calendly or Google Calendar for auto-booking ATS Integration**: Push data to Lever, Greenhouse, or BambooHR Diversity Tracking**: Add demographic fields and analytics Reference Checking**: Automate reference request emails 📈 Expected Results 90% reduction** in manual resume review time 24-hour response time** to all candidates Zero missed applications** - every candidate gets feedback Data-driven hiring** - track what works with comprehensive analytics Better candidate experience** - fast, professional communication Consistent evaluation** - eliminate unconscious bias with structured AI scoring 🏆 Use Cases Technology Companies Screen 100+ engineering applications per week, identify top 10% instantly, schedule interviews same-day. Agencies & Consultancies Evaluate consultant candidates across multiple skill dimensions, route to appropriate practice areas. High-Volume Hiring Process retail, customer service, or sales applications at scale with consistent quality. Remote-First Teams Evaluate global candidates 24/7, respond instantly regardless of timezone. 💡 Pro Tips Train Your AI**: After 50+ applications, refine prompts based on false positives/negatives A/B Test Thresholds**: Experiment with score cutoffs to optimize for your needs Build Talent Pipeline**: Keep "maybe" candidates in CRM for future roles Track Source Effectiveness**: Add UTM parameters to measure which job boards deliver best candidates Continuous Improvement**: Weekly review of AI assessments to calibrate accuracy 🎓 Learning Resources This workflow demonstrates: AI Agents with structured output Multi-stage conditional routing Human-in-the-loop automation Binary data processing (resume files) Email automation with HTML templates Real-time notifications Analytics and data logging Perfect for learning advanced n8n automation patterns! Ready to transform your hiring process? Import this template and start screening candidates intelligently in under 30 minutes. Questions or customization needs? The workflow includes detailed sticky notes explaining each section.

📊 Description Automate your inbound lead qualification pipeline by enriching raw lead data, scoring it with AI, and instantly creating follow-up tasks for your sales team. 🎯🤖 This workflow receives new leads via webhook, enriches them using RocketReach to fetch verified emails and contact details, applies confidence-based filtering, and uses GPT-4o-mini to score each lead based on seniority, company fit, and data quality. High-quality leads automatically generate Asana tasks and Slack notifications, while low-quality leads are safely filtered out — ensuring your team focuses only on the best opportunities. 🚀📋 🔁 What This Template Does 1️⃣ Receives inbound lead data via webhook (name, company, job title, LinkedIn URL). 🌐 2️⃣ Normalizes incoming data into a clean, structured format. 🧾 3️⃣ Enriches lead profiles using RocketReach to fetch emails and phone numbers. 📇 4️⃣ Calculates email confidence scores based on quality grades (A–D). 📊 5️⃣ Filters out low-confidence leads automatically. 🚫 6️⃣ Uses AI (GPT-4o-mini) to score qualified leads from 1–10. 🤖 7️⃣ Assigns priority levels (High / Medium / Low) with reasoning. 🧠 8️⃣ Creates an Asana task for leads scoring above the threshold. ✅ 9️⃣ Sends Slack notifications for both qualified and disqualified leads. 💬 🔟 Returns a structured webhook response with scoring results. 🔁 1️⃣1️⃣ Sends Gmail alerts automatically if any workflow error occurs. 🚨 ⭐ Key Benefits ✅ Eliminates manual lead enrichment and qualification ✅ Uses verified contact data from RocketReach ✅ AI scoring ensures consistent, unbiased lead evaluation ✅ Automatically routes high-quality leads to sales via Asana ✅ Keeps teams informed with real-time Slack notifications ✅ Prevents sales effort from being wasted on low-quality leads 🧩 Features Webhook-based inbound lead intake RocketReach profile enrichment Email confidence scoring logic AI lead scoring with strict JSON output Configurable quality and score thresholds Automatic Asana task creation Slack alerts for qualified and disqualified leads Gmail-based error handling Frontend-ready webhook responses 🔐 Requirements RocketReach API key OpenAI API key (GPT-4o-mini recommended) Asana OAuth2 credentials Slack API credentials Gmail OAuth2 credentials (for error alerts) Webhook client sending lead details (first_name, last_name, company, job_title, linkedin_url) 🎯 Target Audience B2B sales teams handling inbound leads Revenue operations (RevOps) teams SaaS companies optimizing lead qualification Lead generation agencies Automation teams building AI-driven sales pipelines

This workflow automatically collects customer reviews from Google, Facebook, Trustpilot, and Yelp, analyzes their sentiment using AI, sends real-time alerts for negative feedback, and generates a weekly summary report. It is ideal for businesses that want to monitor their online reputation across multiple platforms and respond quickly to customer concerns. How It Works Daily Schedule**: Triggers the workflow every day at 09:00. Review Collection**: Fetches new reviews from Google, Facebook, Trustpilot, and Yelp using their official APIs. Data Normalization**: Merges and standardizes all reviews into a unified format. AI Sentiment Analysis**: Uses GPT-4 to analyze the sentiment and extract key insights from each review. Negative Review Alerts**: Sends a Slack notification to managers if a negative review is detected. Logging**: Saves all reviews and their analysis to a Google Sheet for record-keeping. Weekly Reporting**: Every Monday, aggregates the past week’s reviews, generates an AI-powered summary, and emails it to management. Configuration API Credentials: Google My Business API: Create a project in Google Cloud, enable the My Business API, and generate OAuth credentials. Facebook Graph API: Create a Facebook App, request the necessary permissions, and obtain a Page Access Token. Trustpilot API: Register for a Trustpilot Business account and generate an API key. Yelp Fusion API: Sign up for Yelp Fusion, create an app, and get your API key. OpenAI API: Create an account at OpenAI, generate an API key for GPT-4 access. Slack API: Create a Slack App, enable Incoming Webhooks, and get the webhook URL. Google Sheets API: Enable the Google Sheets API in Google Cloud and create OAuth credentials. Set Up Environment Variables: Add all API keys, tokens, and configuration values in the Workflow Configuration node or as n8n credentials. Google Sheet Setup: Create a Google Sheet with columns for review data and share it with your service account email. Slack Channel: Set up a Slack channel for alerts and add the webhook URL in the configuration. Email Settings: Configure the recipient email address for weekly reports in the workflow. Usage Activate the workflow after configuration. Reviews will be collected and analyzed daily. Negative reviews trigger instant Slack alerts. Every Monday, a summary report is sent via email. Use Case: Monitor and respond to customer feedback across Google, Facebook, Trustpilot, and Yelp, automate sentiment analysis, and keep management informed with actionable weekly insights.

This workflow automatically scores and categorizes new GoHighLevel contacts using AI (GPT-4), then tags and assigns them to the appropriate team member based on their score. Hot leads also trigger a Slack notification for immediate follow-up. What does it do? Triggers when a new contact is added in GoHighLevel. Fetches full contact details and recent engagement data. Uses AI (GPT-4) to analyze and score the lead (1-100), categorize it (Hot, Warm, Cold), and provide an explanation. Tags the contact in GoHighLevel based on the score. Assigns the lead to the correct sales or nurturing team member. Sends a Slack alert for Hot leads to ensure fast response. Use case Use this workflow to automate lead qualification and assignment in sales teams using GoHighLevel. It helps prioritize high-quality leads, ensures fast follow-up, and reduces manual work. How to configure GoHighLevel API: Set your GoHighLevel API URL and API key in the Workflow Configuration node. Update user IDs for assignment as needed. Slack Integration: Add your Slack webhook URL or credentials in the Slack Notify Hot Lead node. AI Provider: Configure your OpenAI (or compatible) credentials in the AI Lead Scoring (GPT-4) node. Adjust thresholds: If needed, change the score thresholds in the IF nodes to match your business logic. Activate the workflow: Once configured, activate the workflow to start processing new leads automatically. Tip: You can further customize the workflow to fit your sales process, add more notifications, or integrate with other tools as needed.

Turn your favorite podcast episodes into engaging social media content automatically. This workflow fetches new episodes from an RSS feed, transcribes the audio using OpenAI Whisper, generates a concise summary using GPT-4o, and drafts a tweet. It then sends the draft to Slack for your review before posting it to X (Twitter). Who is this for Content creators, social media managers, and podcast enthusiasts who want to share insights without manually listening to and typing out every episode. Key Features Large File Support:** Includes a custom logic to download audio in chunks, ensuring stability even with long episodes (preventing timeouts). Human-in-the-Loop:** Nothing gets posted without your approval. You can review the AI-generated draft in Slack before it goes live. High-Quality AI:** Uses OpenAI's Whisper for accurate transcription and GPT-4o for intelligent summarization. How it works Monitor: Checks the Podcast RSS feed daily for new episodes. Process: Downloads the audio (handling large files via chunking) and transcribes it. Draft: AI summarizes the transcript into bullet points and formats it for X (Twitter). Approve: Sends the draft to a Slack channel. Publish: Once approved by you, it posts the tweet to your X account. Requirements OpenAI API Key Slack Account & App (Bot Token) X (Twitter) Developer Account (OAuth2) Setup instructions RSS Feed: The template defaults to "TED Talks Daily" for demonstration. Open the [Step 1] RSS node and replace the URL with your target podcast. Connect Credentials: Set up your credentials for OpenAI, Slack, and X (Twitter) in the respective nodes. Slack Channel: In the [Step 12] Slack node, select the Channel ID where you want to receive the approval request.

Overview This template is ideal for photographers, graphic designers, and creative professionals who manage large volumes of visual assets. It is also perfect for Digital Asset Managers looking for a customizable, automated solution to organize files without manual tagging. What it does When a new image is uploaded to a designated "Inbox" folder in Google Drive, the workflow performs the following actions: AI Analysis**: Uses GPT-4o to analyze the image content, generating a description, extracting dominant colors, and determining the category (e.g., Portrait vs. Landscape). Safety Check**: Runs an AI-based NSFW filter. If inappropriate content is detected, the process stops, and a warning is sent to Slack. Smart Sorting**: Automatically moves the file into the correct subfolder based on its category. Contextual Tagging**: Generates specific tags (e.g., "smile, natural light" for portraits) and updates the file metadata. Archiving**: Creates a comprehensive entry in a Notion Database with the image link, tags, and description. Notification**: Sends a success alert to Slack with a summary of the archived asset. How to set up This workflow is designed to be plug-and-play using a central configuration node. Credentials: Connect your Google Drive, OpenAI, Notion, and Slack accounts in n8n. Set Variables: Open the node named "Workflow Configuration". Replace the placeholder IDs with your actual Folder IDs (for Inbox, Portraits, and Landscapes), Notion Database ID, and Slack Channel ID. Prepare Notion: Create a Database in Notion with the following properties: Category (Select) Description (Rich Text) Image URL (URL) Tags (Rich Text) Date (Date) Requirements n8n Version**: 1.0 or later. OpenAI API: Access to the **gpt-4o model is recommended for accurate vision analysis. Google Drive**: A specific folder structure (Inbox, Portraits, Landscapes). Notion**: A dedicated database for the portfolio. Slack**: A channel for notifications. How to customize Add Categories**: You can expand the "Category Router" (Switch node) to include more specific genres like "Architecture," "Macro," or "Street," and add corresponding paths. Adjust Prompts**: Modify the system prompts in the AI nodes to change the language of the output or the style of the generated tags. Change Output**: Connect to Airtable or Excel instead of Notion if you prefer a different database system.

AI-powered feedback analysis and response automation from Jotform to Google Sheets and Slack Who’s it for Businesses using Jotform to collect customer feedback who want to automate sentiment analysis, email responses, and internal reporting — especially eCommerce, support, or CX teams looking to scale without hiring more agents. How it works This workflow captures every new Jotform submission, extracts key fields, and uses OpenAI GPT-4.1 to classify sentiment and root cause. Negative feedback or ratings ≤3:** Generates a recovery email, logs it in Google Sheets, and alerts your CX team on Slack. Positive or neutral feedback:** Sends a personalized thank-you email with a link to leave a public review. All submissions are stored in Google Sheets for analytics and performance tracking. How to set up Visit Jotform and sign up (if you’re new) or log in to your existing account. Click your profile icon (top-right) → go to Settings. In the left sidebar, open the API section. Click Create New Key. Set permission to Full Access (recommended for full workflow functionality). Copy the generated API key. In n8n, open Credentials → Create New → JotForm API. Paste your API key and save it as JotForm account. Test the connection by running your Jotform Trigger node. Jotform Configuration Guide (for n8n Feedback Workflow) Follow these steps to connect your Jotform to n8n: 1️⃣ Create the Feedback Form Build a form in Jotform with the following exact fields: Field Label - Field Type - Example Input Full Name - Short Text - Customer Name Email - Email - [email protected] Whatsapp Number - Short Text- 91xxxxxxxxxx Order Id - Short Text - #2321 Ratings - Ratings - 3 Please describe your experience in detail. - Long Text - “Feedback” Would you recommend us to others? - Single Choice (Yes/No) - No 💡 Tip: Keep field labels identical — n8n uses these exact keys for data mapping. Requirements Jotform API key (Full Access) OpenAI API key SMTP or transactional email service Google service account or Authenticate using Oauth2 Slack token How to customize You can easily adjust rating thresholds, AI prompts, or email templates to match your brand’s tone. The structure is modular — no code changes needed, just edit nodes and re-deploy.

Build a fully automated music generation workflow in n8n using Suno to create and store AI-generated songs. What's the Goal? Automate end-to-end AI music creation — from a simple text prompt to a fully generated, stored, and shareable song — using Suno's API inside n8n with zero manual effort. Why Does It Matter? AI music generation is powerful but manual. This workflow lets you batch-generate songs, integrate music into apps or content pipelines, and store outputs automatically — saving hours of repetitive work. How It Works Webhook or Schedule triggers the flow with a text prompt Prompt is enriched/formatted for best Suno results Suno API call initiates song generation Workflow polls until song is ready (async wait loop) Song metadata & audio URL retrieved File downloaded and saved to cloud storage (Google Drive / S3) Metadata logged to Google Sheets / Airtable Notification sent via Slack / Email Configuration Requirements Suno API key (via RapidAPI or official Suno API access) Cloud storage credentials (Google Drive / AWS S3) Google Sheets or Airtable credentials (for logging) Slack Bot Token or SMTP (for notifications) Optional: OpenAI API key (for prompt enrichment) Setup Guide Import workflow into n8n Connect credentials (Suno/RapidAPI, Google Drive, Sheets, Slack) Configure Set node: default genre, mood, duration, style tags Test with a manual trigger and a sample prompt Activate webhook → send prompts to trigger URL Monitor generation status and tune polling interval Check storage & logs for generated songs Contact Us https://www.oneclickitsolution.com/contact-us/

n8n Lead Qualification & Sales Intelligence Workflow (Top of Funnel) Overview / Purpose This workflow automatically processes new free-trial / lead sign-ups in real time: Catches a webhook from any source (Webflow form, Intercom, custom agent, etc.) Filters out personal / disposable / .edu emails → only business emails continue Validates the company website is live Scrapes the website with Firecrawl to find the official LinkedIn company page Enriches the company via AI Agent (Scrapin.io) → pulls name, follower count, headcount, HQ location, industry, and clean description Runs a multi-factor scoring engine (Location + Headcount + Industry) Sends a beautiful rich Slack notification to the sales team with score, rating, and quick-action buttons Segments the lead by score tier (Very High / High / Mid / Low) Checks if the lead already exists in Instantly Adds qualified leads to the correct Instantly campaign with first/last name extracted from email Core Flow (Step-by-Step) Webhook – Trigger (POST /new-lead) Extract Email Root Domain – Pulls @company.com part Blacklist Regex Domains – Blocks all personal, free, and .edu emails Check Email Not Null – Safety gate Check if Website Exists – HEAD request (continues only on 200-399) Firecrawl Scrape – Scrapes homepage looking for LinkedIn URL in footer/links Extract LinkedIn Url – Code node that finds and cleans /company/ URL Check LinkedIn Not Null + Is Company Page – Rejects personal profiles LinkedIn Agent (AI Agent) Uses Scrapin.io enrichment tool Structured output: company_name, followers, employee_count, headquarters_location, industry, description Audit LI Results – Ensures all key fields returned Sanitize Description – Cleans Unicode, newlines, caps length for Slack Normalize Country – GPT-4.1-nano turns "Sheridan, US" → "United States" Score Country – Code node (0–10 points based on market tier) Score Staff Count – Code node (0–10 points based on headcount buckets) Industry Scoring – Code node (normalizes raw industry + 0–10 points) Algo Score – Final score = weighted average → 0–100 + rating label ("Excellent Fit", "Good Fit", etc.) Send to Slack – Rich blocks with: Email, Company Name, Location (+score), Staff Count (+score), Followers, Industry (+score) Clean description Final Score + Rating Buttons: Visit LinkedIn + Visit Website Score-Based Routing Very High (90–100) High (70–89) Mid (50–69) Low (0–49) Instantly Checks – For each tier: search if lead already exists Extract Name From Email (GPT) – Turns [email protected] → First/Last Name (or "there") Wait nodes (optional delay before adding) Add Lead to Campaign – Pushes to Instantly with website custom field Scoring Logic (Fully Configurable in Code Nodes) Based on your ICP, narrow down your scoring based on how you want to segment. What Makes This Workflow Powerful Zero manual work after webhook Rich, actionable Slack alerts (sales team loves it) Smart scoring that matches real ICP Built-in deduplication with Instantly Fully modular code nodes (easy to tweak scoring without breaking anything) Heavy error handling and safety gates This is a complete, production-ready, public template. You can import the JSON and it will run immediately after you connect your own: Webhook source Firecrawl API Scrapin.io (or alternative) OpenAI Slack Instantly Any questions/comments/concerns, please email [email protected] Built by Brandon Charleson https://www.youtube.com/@brandoncharleson https://www.linkedin.com/in/brandon-charleson https://x.com/brandon_ai

AI-Powered Feedback Automation with PDF Reports & Team Notifications Transform customer feedback into actionable insights automatically with AI analysis, professional PDF reports, personalized emails, and real-time team notifications. Table of Contents Overview Features Demo Prerequisites Quick Start Configuration Usage Troubleshooting License Overview AI-Powered Feedback Automation is a complete, production-ready n8n workflow that automatically processes customer feedback submissions with artificial intelligence, generates beautiful branded PDF reports, sends personalized email responses, logs data for analytics, and notifies your team in real-time. What Problem Does This Solve? Manual feedback processing is time-consuming and inconsistent. This workflow eliminates all manual work by: Automatically analyzing** sentiment and extracting key insights using OpenAI Generating professional** PDF reports with custom branding Sending personalized** thank-you emails to customers Logging everything** to Google Sheets for analytics and reporting Notifying your team** instantly via Slack with actionable summaries Perfect For Product Teams** - Collect and analyze user feedback systematically Educational Institutions** - Process student/parent feedback efficiently Customer Support** - Track customer satisfaction and sentiment trends E-commerce** - Manage product reviews and customer suggestions Healthcare** - Collect patient feedback and satisfaction scores Event Management** - Gather attendee feedback post-event Consulting Firms** - Streamline client feedback collection Features AI-Powered Analysis Sentiment Classification** - Automatically categorizes feedback as Positive, Neutral, or Negative Key Highlights Extraction** - Identifies the most important points from customer comments Actionable Recommendations** - AI generates specific suggestions based on feedback Executive Summaries** - Creates concise 2-3 sentence overviews of each submission Professional Report Generation Beautiful PDF Reports** - Branded, professional documents with custom styling Visual Elements** - Star ratings, color-coded sentiment badges, organized sections Responsive Design** - Mobile-friendly and print-optimized layouts 30-Day Hosting** - PDF reports automatically hosted with expiration dates Automated Email Communications Personalized Messages** - Thank-you emails customized with customer name and feedback PDF Attachments** - Direct download links to full feedback reports Sentiment Indicators** - Color-coded visual feedback summaries Professional Templates** - Modern, responsive email designs Data Logging & Analytics Google Sheets Integration** - Automatic logging of all feedback submissions Complete Audit Trail** - Tracks submission IDs, timestamps, and processing status Analytics Ready** - Structured data perfect for dashboards and trend analysis Historical Records** - Permanent storage of all feedback data Team Notifications Slack Integration** - Real-time alerts to team channels Rich Formatting** - Structured messages with highlights and action items Direct Links** - Quick access to full PDF reports from Slack Thread Discussions** - Enable team conversations around feedback Robust Error Handling Email Validation** - Automatically checks and handles invalid email addresses Fallback Mechanisms** - Continues workflow even if email sending fails Data Cleaning** - Sanitizes and normalizes all input data Graceful Degradation** - AI parsing failures handled with intelligent fallbacks Demo Workflow Overview User Submits Feedback ↓ Data Cleaning & Validation ↓ AI Sentiment Analysis (OpenAI) ↓ HTML Report Generation ↓ PDF Conversion ↓ Email Validation ─┬─ Valid → Send Email └─ Invalid → Skip ↓ Log to Google Sheets ↓ Notify Team (Slack) ↓ Webhook Response Sample Input { "name": "Sarah Johnson", "email": "[email protected]", "rating": 4, "comments": "Great product! Delivery was a bit slow but customer service was helpful.", "suggestions": "Improve shipping speed and tracking updates." } Sample Output ✅ AI Analysis: "Positive" sentiment with 3 key highlights ✅ PDF Report: Professional 2-page document with branding ✅ Email Sent: Personalized thank-you message delivered ✅ Data Logged: New row added to Google Sheet ✅ Team Notified: Slack message with summary posted ✅ Webhook Response: 200 OK with submission details Prerequisites Required Services & Accounts n8n Instance (v0.220.0 or higher) Self-hosted or n8n Cloud Installation Guide OpenAI Account API key with GPT-3.5-turbo or GPT-4 access Sign Up Google Account (Gmail + Google Sheets) OAuth2 setup for Gmail API OAuth2 setup for Google Sheets API Setup Guide Slack Workspace Admin access to create apps or OAuth Bot token with chat:write and channels:read scopes Create Slack App HTML to PDF API Service GET at: PDFMunk API key required VerifiEmail API GET at: VerfiEmail API key required Quick Start Import Template Option A: Import via URL Copy the workflow JSON URL and paste in n8n: Settings → Import from URL → [Paste URL] Option B: Import via File Download workflow.json In n8n: Workflows → Import from File Select the downloaded JSON file Click "Import" Configure Credentials (5 minutes) Navigate to: Settings → Credentials and add: ✅ OpenAI API - Add API key from OpenAI dashboard ✅ Gmail OAuth2 - Connect and authorize your Gmail account ✅ Google Sheets OAuth2 - Use same Google account ✅ Slack OAuth2 - Install app to workspace and authorize ✅ HTML to PDF API - Add API key from your PDF service ✅ VerifiEmail API - Add API key from VerifiEmail dashboard Create Google Sheet (2 minutes) Create a new Google Sheet named "Feedback Log" with these column headers: Submission ID | Timestamp | Name | Email | Rating | Sentiment | Comments | Suggestions | AI Summary | PDF URL | PDF Available Until | Email Sent Configure Workflow (3 minutes) Open the imported workflow Click "Log Feedback Data" node Select your "Feedback Log" spreadsheet Click "Notify Team" node Select your Slack channel (e.g., #feedback) Test & Activate (5 minutes) Execute the "Webhook" node to get test URL Send test POST request (see test data below) Verify all nodes execute successfully Check email, Google Sheet, and Slack Click "Active" toggle to enable workflow Total Setup Time: ~15-20 minutes Configuration Webhook Configuration The workflow receives feedback via POST webhook: URL Format: https://your-n8n-domain.com/webhook/feedback-submission Expected Payload: { "name": "string (required)", "email": "string (optional, validated)", "rating": "integer 1-5 (required)", "comments": "string (optional)", "suggestions": "string (optional)" } Usage Testing the Workflow Using Postman/Insomnia: Create new POST request URL: https://your-n8n-domain.com/webhook/feedback-submission Headers: Content-Type: application/json Body (raw JSON): { "name": "Test User", "email": "[email protected]", "rating": 5, "comments": "This is a test feedback submission. Everything works great!", "suggestions": "Maybe add more features in the future." } Send request Expected response (200 OK): { "success": true, "message": "Thank you for your feedback! We've sent you a detailed report via email.", "data": { "submissionId": "FB-1234567890123-abc123xyz", "name": "Test User", "email": "[email protected]", "rating": "5", "sentiment": "Positive", "emailSent": "true", "reportUrl": "https://generated-pdf-url.com/report.pdf", "reportAvailableUntil": "2025-11-10" } } Using cURL: curl -X POST https://your-n8n-domain.com/webhook/feedback-submission \ -H "Content-Type: application/json" \ -d '{ "name": "Sarah Johnson", "email": "[email protected]", "rating": 4, "comments": "Great product! Delivery was a bit slow but customer service was helpful.", "suggestions": "Improve shipping speed and tracking updates." }' Monitoring & Maintenance Daily: Check Slack for new feedback notifications Review Google Sheet for any anomalies Weekly: Verify workflow execution success rate Check OpenAI API usage and costs Review sentiment trends in Google Sheet Monthly: Analyze feedback patterns and trends Update AI prompts if needed Check PDF service usage limits Review and optimize workflow performance Best Practices Rate Limiting Monitor for spam submissions Add rate limiting to webhook if needed Use n8n's built-in throttling Data Privacy Ensure GDPR/privacy compliance Add data retention policies Implement data deletion workflow Error Handling Set up error notifications Create error logging workflow Monitor execution failures Performance Keep Google Sheet under 50,000 rows Archive old data quarterly Use database for high volume (1000+/month) Troubleshooting Common Issues Issue 1: Webhook Not Receiving Data Symptoms: Webhook node shows no executions Forms submit but nothing happens Solutions: ✅ Verify workflow is Active (toggle at top right) ✅ Check webhook URL is correct in form ✅ Test webhook with Postman/cURL first ✅ Check n8n logs for errors: Settings → Log Streaming ✅ Verify firewall/network allows incoming webhooks Issue 2: OpenAI Node Fails Symptoms: Error: "API key invalid" Error: "Insufficient credits" Node times out Solutions: ✅ Verify API key is correct and active ✅ Check OpenAI account has sufficient credits ✅ Check API usage limits: platform.openai.com/usage ✅ Increase node timeout in workflow settings ✅ Try with shorter feedback text Issue 3: PDF Not Generating Symptoms: "PDF generation failed" error Empty PDF URL 404 when accessing PDF Solutions: ✅ Verify PDF API key is valid ✅ Check API service status ✅ Verify HTML content is valid (test in browser) ✅ Check API usage limits/quota ✅ Try alternative PDF service Issue 4: Email Not Sending Symptoms: Gmail node shows error Email doesn't arrive "Permission denied" error Solutions: ✅ Re-authenticate Gmail OAuth2 credential ✅ Check email address is valid ✅ Check spam/junk folder ✅ Verify Gmail API is enabled in Google Console ✅ Check daily sending limits not exceeded ✅ Test with different email address Issue 5: Google Sheets Not Updating Symptoms: No new rows added "Spreadsheet not found" error Permission errors Solutions: ✅ Verify spreadsheet ID is correct ✅ Check sheet name matches exactly (case-sensitive) ✅ Verify column headers match exactly ✅ Re-authenticate Google Sheets credential ✅ Check spreadsheet isn't protected/locked ✅ Verify spreadsheet isn't full (limit: 10M cells) Issue 6: Slack Not Posting Symptoms: Slack node fails Message doesn't appear in channel "Channel not found" error Solutions: ✅ Verify bot is invited to channel: /invite @BotName ✅ Check bot has chat:write permission ✅ Re-authenticate Slack credential ✅ Verify channel ID is correct ✅ Check Slack workspace isn't on free plan limits ✅ Test with different channel Debugging Tips Enable Debug Mode Settings → Executions → Save execution progress Watch each node execute step-by-step Check Execution Logs Click on failed node View "Input" and "Output" tabs Check error messages Test Nodes Individually Click "Execute Node" on each node Verify output before proceeding Use Browser Console Open Developer Tools (F12) Check for JavaScript errors Monitor network requests Enable Verbose Logging For self-hosted n8n N8N_LOG_LEVEL=debug npm start 📄 License This template is licensed under the MIT License - see the LICENSE file for details.

This n8n workflow orchestrates a powerful suite of AI Agents and automations to manage and optimize various aspects of an e-commerce operation, particularly for platforms like Shopify. It leverages Langchain AI Agents powered by OpenAI, along with a variety of integrated services, to handle customer support, product recommendations, abandoned cart recovery, inventory management, post-purchase engagement, review monitoring, marketing campaigns, and operational alerts. Tools & Services Used n8n:** Core automation and orchestration platform. Langchain AI Agents:** For intelligent decision-making, task execution, and natural language processing across multiple modules. OpenAI (e.g., GPT-4o Mini):** Powers the AI Agents and direct LLM calls for tasks like sentiment analysis and content generation. Shopify (Conceptual - requires specific API/Webhook setup):** For triggers (abandoned cart, order delivered) and actions (fetching products/inventory, creating discounts). Google Sheets:** Used as a data store for FAQs, logging low stock, review databases, and campaign outcomes. Slack:** For internal team notifications (escalations, low stock, negative reviews). Twilio (or similar SMS service):** For sending SMS alerts (cart recovery, restock notifications). Email (Generic SMTP/API):** For sending various emails (AI responses, recovery emails, review requests, campaign emails). Notion:** For logging customer interactions. HTTP Request Nodes:** For generic API interactions (fetching customer info, product search, CRM, campaign tracking). Webhook Nodes:** For receiving external triggers (incoming messages, product inquiries, review submissions, restock signals). Cron Nodes:** For scheduled tasks (hourly inventory checks, daily campaigns). Workflow Overview This workflow is a collection of interconnected sub-workflows, each designed to automate a specific e-commerce process: Customer Support & Escalation Handles incoming customer messages, attempts to answer with FAQs or order status using an AI Agent, and escalates to a human agent via Slack if necessary. Logs interactions to Notion. Product Inquiry & Recommendation Processes product inquiries, searches a product catalog, filters/sorts results, uses an AI Agent for selection refinement, and can build a product carousel for user response. Abandoned Cart Recovery Detects abandoned carts, fetches customer data, uses an AI Agent to strategize recovery (e.g., offer discounts), and sends follow-up communications via email/SMS. Inventory Management (Low Stock Alert) Periodically checks inventory levels, identifies low-stock items, uses an AI Agent to format reports, and notifies relevant teams via Slack/email, logging to Google Sheets. Post-Purchase Review Request After a set period post-delivery, an AI Agent drafts and initiates sending a personalized product review request email to the customer. Review Monitoring & Flagging Listens for new product reviews, uses an AI model for sentiment analysis, alerts a support team for negative reviews via Slack, and logs all reviews. Scheduled Marketing Campaigns Fetches target audiences, segments them, uses AI Agents to generate tailored email content, sends campaigns, tracks basic metrics, and employs another AI Agent to suggest campaign adjustments. Manual Restock Alert & Logging Allows triggering a restock notification via webhook, sends an SMS alert, and uses an LLM to log the event. Prerequisites Ensure you have active accounts and necessary API keys/credentials for: OpenAI Shopify (or your e-commerce platform API) Google Cloud (for Google Sheets API) Slack (Bot Token) Twilio (Account SID, Auth Token, From Number) Your Email Sending Service (SMTP details or API key) Notion (Integration Token) Any other external APIs used (e.g., CRM, Product Search, Customer Info, Campaign Tracking) How to Use This Template Step 1: Import the Template Open your n8n instance. Go to “Workflows” > “Create Workflow”. Click the three dots (…) > “Import from File”. Upload the downloaded JSON file of this workflow. Step 2: Configure Critical Nodes & Credentials This is the most crucial step. Systematically go through each of the 8 sections outlined in the Sticky Notes within the workflow and configure the relevant nodes: SECTION 1 (Customer Support):** Get FAQs Data (Google Sheets): Set sheetId to YOUR_SHEET_ID_HERE and configure Google API credentials. Lookup Order API (HTTP Request): Set url to YOUR_ORDER_LOOKUP_API_ENDPOINT_HERE. Notify Human Agent (Slack): Configure Slack API credentials and channel. Send AI Response to Customer (HTTP Request): Set url to YOUR_CUSTOMER_RESPONSE_API_ENDPOINT_HERE. Store to Notion (Notion): Set pageId (Database ID) to YOUR_NOTION_DATABASE_URL_OR_ID_HERE and Notion API credentials. SECTION 2 (Product Inquiry):** Search Products API (HTTP Request): Set url to YOUR_PRODUCT_SEARCH_API_ENDPOINT_HERE. Build Product Carousel (Function): Update YOUR_DEFAULT_PRODUCT_IMAGE_URL_HERE and YOUR_FALLBACK_PRODUCT_URL_HERE. Respond to User with Carousel (HTTP Request): Set url for sending carousel data. SECTION 3 (Abandoned Cart):** Detect Abandoned Cart (Shopify Trigger): Configure Shopify credentials and ensure the correct trigger event. Fetch Customer Info (HTTP Request): Set url to YOUR_CUSTOMER_INFO_API_ENDPOINT_HERE. Create Discount (if applicable) (Shopify): Configure Shopify credentials and review discount creation parameters. Send Recovery Email (HTTP Request/Email Send): Set email API endpoint or SMTP credentials. Send SMS Reminder (Twilio): Configure Twilio credentials and from number (YOUR_TWILIO_PHONE_NUMBER_HERE). SECTION 4 (Low Stock Alerts):** Fetch Inventory (Shopify): Configure Shopify credentials. Notify Slack (Low Stock) (Slack): Configure Slack API credentials and channel. Generate Email Report (Low Stock) (Email Send): Configure SMTP/email credentials and to address. Export to Sheets (Low Stock Log) (Google Sheets): Set sheetId to YOUR_INVENTORY_LOG_SHEET_ID_HERE and Google API credentials. SECTION 5 (Review Request):** Order Delivered Trigger (Shopify Trigger): Configure Shopify credentials. Fetch Customer Data (for Review) (HTTP Request): Set url to YOUR_CUSTOMER_INFO_API_ENDPOINT_HERE. DraftReviewRequestEmail (Tool): Update YOUR_PRODUCT_PAGE_URL_BASE_HERE and YOUR_WEBSITE_URL_HERE. Send Review Request Email (Email Send): Configure SMTP/email credentials. SECTION 6 (Review Monitoring):** OpenAI node (currently Assistant Create): IMPORTANT: For sentiment analysis, change this node type to @n8n/n8n-nodes-langchain.lmChatOpenAi. Then configure its prompt for sentiment analysis (e.g., System: "Analyze sentiment. Respond with positive, negative, or neutral." User: "Review: {{ $('Listen for Review Webhook').first().json.body.review_text }}"). Set OpenAI credentials. Notify Support Team (Negative Review) (Slack): Configure Slack API credentials and channel. Add Review to Database (Google Sheets): Set sheetId to YOUR_REVIEWS_DATABASE_SHEET_ID_HERE and Google API credentials. SECTION 7 (Marketing Campaigns):** Fetch Target Audience API (HTTP Request): Set url to YOUR_CRM_API_FOR_AUDIENCE_HERE. GenerateCampaignEmailVariant (Tool): Update YOUR_CAMPAIGN_LANDING_PAGE_HERE. Send Campaign Email (Email Send): Configure SMTP/email credentials. Track Campaign Metrics API (HTTP Request): Set url for YOUR_CAMPAIGN_TRACKING_API_ENDPOINT_HERE. Log Campaign Outcome & Adjustments (Google Sheets): Set sheetId to YOUR_CAMPAIGN_LOG_SHEET_ID_HERE and Google API credentials. SECTION 8 (Manual Restock):** Send SMS Alert (Restock) (Twilio): Configure Twilio credentials, from number (YOUR_TWILIO_PHONE_NUMBER_HERE), and to (WAREHOUSE_MANAGER_PHONE_NUMBER_HERE). OpenAI Chat Model (for Basic LLM Chain): Configure OpenAI credentials. Send restock Request Email1 (Email Send): Configure SMTP/email credentials and to address. Step 3: Implement Tool Logic Go into each @n8n/n8n-nodes-langchain.toolCode node (e.g., SearchFAQs, RefineProductSelection, DetermineDiscount, etc.). The current JavaScript is placeholder. You MUST replace this with actual JavaScript logic that performs the intended action for each tool, often by making API calls or processing data based on the agent's input. Step 4: Review AI Agent Prompts & Tool Connections Carefully review the systemMessage for each AI Agent node to ensure it accurately reflects its role and how it should use its tools. CRITICAL:** Verify the index for tools connected to each AI Agent. Each tool connected to a single agent must have a unique, sequential index (0, 1, 2, ...). AI Agent (ID cd71629d-... in your JSON): SearchFAQs tool should be index: 0, LookupOrderStatus tool should be index: 1. (Please double-check and correct the connection indices in your actual workflow file if they are still both pointing to index 0). AI Agent6 (ID 4c24879b-... in your JSON): AnalyzeCampaignPerformance tool should be index: 0, SuggestCampaignAdjustments tool should be index: 1. (Please double-check and correct the connection indices in your actual workflow file if they are still both pointing to index 0). Initial Test Run Disable most of the workflow sections initially. Focus on one section at a time (e.g., Section 1: Customer Support). Manually trigger the first node (e.g., simulate an incoming webhook). Execute node by node, checking the output and debugging configurations and tool logic. For time-based triggers (Cron, Wait nodes), temporarily shorten the durations for faster testing. Once a section is working, move to the next. Use Cases E-commerce Businesses (Shopify, etc.):** To automate customer service, marketing, sales recovery, and operations. Digital Marketing Agencies:** To offer advanced automation services to e-commerce clients. Freelancers & Consultants:** To build and deploy sophisticated AI-driven e-commerce solutions. n8n Developers:** As a comprehensive template and learning resource for building complex multi-agent systems.

AI job application tracker and interview prep assistant Categories: AI, Productivity, Career Transform your job search from chaos to clarity. This workflow automatically tracks every application, researches companies, and prepares you for interviews with AI-generated materials — all saved to a visual Notion pipeline. Benefits Never lose track of applications** — Every job gets logged automatically with status tracking Walk into interviews prepared** — AI generates likely questions, talking points, and company insights Save 2-3 hours per application** — Research and prep that took hours now happens in seconds Automated follow-up reminders** — Get notified when it's time to send that follow-up email How It Works Submit application via form (paste job URL) or forward your confirmation email AI extracts job details — company, role, requirements, salary, location Interview prep generates — likely questions, suggested talking points, questions to ask Everything saves to Notion — visual pipeline with follow-up dates Daily reminders — Slack notification for applications needing follow-up Required Setup Notion Database Structure Create a Notion database with these properties: | Property Name | Type | Purpose | |---------------|------|---------| | Company | Title | Company name | | Role | Text | Job title | | Status | Select | Applied, Interviewing, Offer, Rejected, Ghosted | | Applied Date | Date | When you applied | | Salary Range | Text | Compensation info | | Job URL | URL | Link to posting | | Location | Text | City/Remote | | Interview Prep | Text | AI-generated prep materials | | Follow Up Date | Date | When to follow up | | Requirements | Text | Key job requirements | | Notes | Text | Your personal notes | Credentials Needed OpenAI API** — For job extraction and interview prep generation Notion** — Connected to your job tracker database Gmail** (optional) — For email forwarding and confirmations Slack** (optional) — For follow-up reminders Use Cases Active job seekers** — Track 20+ applications without spreadsheet chaos Career changers** — Get AI help understanding new industry requirements Recent graduates** — Build interview confidence with generated prep materials Passive searchers** — Keep a running list with minimal effort Set Up Steps Import the workflow into your n8n instance Create Notion database with the structure above (or duplicate template) Connect OpenAI credentials — API key with GPT-5 access recommended Connect Notion credentials — Select your job tracker database Configure Gmail trigger (optional) — Set filter for forwarded job emails Set up Slack webhook (optional) — Choose channel for reminders Test with a sample job posting — Paste a LinkedIn or company careers page URL Customization Tips Edit the interview prep prompt to mention your background/experience Adjust the follow-up reminder interval (default: 7 days) Add additional research sources (LinkedIn, Crunchbase) for richer company data Connect to calendar to block interview prep time automatically Technical Notes Uses Jina AI Reader for web scraping (free tier available) GPT-5-mini recommended for cost efficiency Notion text fields limited to 2000 characters (full prep saved) Daily check runs at 9 AM (configurable) Difficulty Level: Intermediate Estimated Setup Time: 30-45 minutes Monthly Operating Cost: ~$2-5 (based on 50 applications/month with GPT-5-mini)

Who is this for? Marketing, content, and enablement teams that need a quick, human-readable summary of every new video published by the YouTube channels they care about—without leaving Slack. What problem does this workflow solve? Manually checking multiple channels, skimming long videos, and pasting the highlights into Slack wastes time. This template automates the whole loop: detect a fresh upload from your selected channels → pull subtitles → distill the key take-aways with GPT-4o-mini → drop a neatly-formatted digest in Slack. What this workflow does Schedule Trigger fires every 10 min, then grabs a list of YouTube RSS feeds from a Google Sheet. HTTP + XML fetch & parse each feed; only brand-new videos continue. YouTube API fetches title/description, RapidAPI grabs English subtitles. Code nodes build an AI payload; OpenAI returns a JSON summary + article. A formatter turns that JSON into Slack Block Kit, and Slack posts it. Processed links are appended back to the “Video Links” sheet to prevent dupes. Setup Make a copy of this Google Sheet and connect a Google Sheets OAuth2 credential with edit rights. Slack App: create → add chat:write, channels:read, app_mention; enable Event Subscriptions; install and store the Bot OAuth token in an n8n Slack credential. RapidAPI key for https://yt-api.p.rapidapi.com/subtitles (300 free calls/mo) → save as HTTP Header Auth. OpenAI key → save in an OpenAI credential. Add your RSS feed URLs to the “RSS Feed URLs” tab; press Execute Workflow. How to customise Adjust the schedule interval or freshness window in “If newly published”. Swap the OpenAI model or prompt for shorter/longer digests. Point the Slack node at a different channel or DM. Extend the AI payload to include thumbnails or engagement stats. Use-case ideas Product marketing**: Instantly brief sales & CS teams when a competitor uploads a feature demo. Internal learning hub**: Auto-summarise conference talks and share bullet-point notes with engineers. Social media managers**: Get ready-to-post captions and key moments for re-purposing across platforms.

🔥 AI Lead Scoring Agent: Smart Contact Form Triager Automatically score every contact form lead as Hot/Warm/Cold and alert your sales team instantly. This intelligent workflow captures contact form submissions, uses GPT-4 to analyze message content and score lead quality, then sends formatted alerts to Slack - ensuring your sales team always focuses on the hottest prospects first. 🚀 What It Does Instant Lead Capture: Automatically receives contact form submissions via webhook endpoint AI-Powered Scoring: GPT-4 analyzes message content and classifies leads as Hot 🔥, Warm 🌤, or Cold ❄️ Smart Data Extraction: Cleanly extracts name, email, and message from form submissions Real-Time Slack Alerts: Sends formatted notifications to your sales team with lead details and AI scoring 🎯 Key Benefits ✅ Never Miss Hot Prospects: AI identifies urgent leads automatically ✅ Save Sales Time: Focus effort on highest-probability leads first ✅ Instant Team Alerts: Real-time notifications in Slack channels ✅ Smart Prioritization: AI scoring eliminates guesswork in lead quality ✅ Zero Manual Work: Complete automation from form to sales alert ✅ Universal Integration: Works with any contact form or landing page 🏢 Perfect For Sales & Marketing Teams SaaS companies managing inbound leads Service businesses qualifying prospects E-commerce stores identifying serious buyers Agencies prioritizing client inquiries Business Applications Lead Qualification**: Identify purchase-ready prospects instantly Sales Efficiency**: Focus team effort on highest-value opportunities Response Prioritization**: Handle urgent inquiries first Team Coordination**: Keep entire sales team informed of new leads ⚙️ What's Included Complete Workflow: Ready-to-deploy lead scoring automation Webhook Endpoint: Receives submissions from any contact form AI Classification: GPT-4 powered lead interest analysis Slack Integration: Professional team notifications with emojis and formatting Data Processing: Clean extraction and formatting of lead information 🔧 Quick Setup Requirements n8n Platform**: Cloud or self-hosted instance OpenAI API**: GPT-4 access for lead scoring Slack Workspace**: Team channel for lead notifications Contact Form**: Any form that can POST to webhook endpoint 📱 Sample Slack Alert 🔥 New Lead: Sarah Johnson ([email protected]) Message: "We're looking for a project management solution for our 50-person team. Need to implement ASAP as we're scaling fast. Can we schedule a demo this week?" Triage: 🔥 Hot ❄️ New Lead: John Smith ([email protected]) Message: "Just browsing your website. Might be interested in learning more someday." Triage: ❄️ Cold 🎨 Customization Options Scoring Criteria: Adjust AI prompts for industry-specific lead qualification Team Channels: Route different lead types to specific Slack channels Additional Fields: Capture company size, budget, timeline data CRM Integration: Connect to Salesforce, HubSpot, or Pipedrive Follow-up Automation: Trigger email sequences based on lead temperature Analytics Tracking: Monitor lead quality trends and conversion rates 🏷️ Tags & Categories #lead-scoring #sales-automation #contact-form-processing #ai-qualification #slack-integration #prospect-management #inbound-marketing #sales-productivity #lead-generation #openai-integration #webhook-automation #crm-automation #sales-alerts #lead-triage #ai-agent 💡 Use Case Examples SaaS Company: Score demo requests based on company size and urgency mentions Consulting Firm: Identify clients ready to start projects vs those still researching E-commerce Store: Spot bulk buyers and wholesale inquiries vs casual browsers Marketing Agency: Prioritize clients with specific budgets and timelines mentioned 📈 Expected Results 70% faster** lead response times through smart prioritization 3x higher** conversion rates focusing on Hot leads first 50% time savings** on manual lead qualification 100% lead coverage** - never miss or ignore a prospect again 🛠️ Setup & Support 5-Minute Setup: Simple webhook configuration with any contact form Universal Integration: Works with WordPress, Webflow, custom forms, landing pages Team Training: Clear Slack notification format anyone can understand Scalable: Handles unlimited form submissions automatically 📞 Get Help & Resources YouTube: https://www.youtube.com/@YaronBeen/videos 💼 Sales Automation Support LinkedIn: https://www.linkedin.com/in/yaronbeen/ 📧 Direct Help Email: [email protected] - Response within 24 hours Ready to never miss another hot lead? Get this AI Lead Scoring Agent and transform your contact forms into intelligent lead qualification systems. Your sales team will always know which prospects to call first, and you'll never waste time on cold leads again. Stop treating all leads equally. Start prioritizing the ones ready to buy.

📘 Description This workflow automates guest upsell discovery and recommendation for hotels by combining Google Sheets, OpenAI, and Slack. It is designed to help hospitality teams proactively identify the single best upsell opportunity for each guest—before arrival or during the stay—without manual analysis or guesswork. The workflow runs on a fixed daily schedule and reads guest records from Google Sheets, which acts as the operational source of truth. Guests are automatically categorized based on stay status (upcoming arrivals vs. currently checked in). For each guest, relevant context such as room type, repeat status, spend level, preferences, and special occasions is prepared and passed to an AI engine. The AI deterministically recommends one high-confidence upsell (e.g., room upgrade, airport pickup, spa, dining, or experience), returns a structured JSON response, and explains the reasoning behind the recommendation. The selected upsell type is written back to the spreadsheet for tracking, and a clear, actionable Slack notification is sent to the team so they can act immediately. Any workflow failure triggers a Slack alert, ensuring reliability and operational visibility. ⚙️ What This Workflow Does (Step-by-Step) ⏰ Daily Scheduled Trigger Runs automatically every day at a fixed time. 📊 Read Guest Data from Google Sheets Fetches all guest records from the central spreadsheet. 🔀 Split by Stay Status Routes guests into two paths: before arrival or during stay. 🎯 Prepare Guest Context Extracts guest attributes (room type, spend level, preferences, occasion, stay phase). 🤖 AI Upsell Recommendation Uses OpenAI to recommend one best upsell per guest and returns structured JSON. 🧹 Parse AI Response Cleans and validates AI output to ensure reliability. 💾 Update Guest Record Writes the selected upsell type back into Google Sheets. 💬 Notify Team in Slack Posts a formatted upsell notification with reasoning for immediate action. 🚨 Error Handling → Slack Alert Sends an instant alert if any step in the workflow fails. 🧩 Prerequisites • Google Sheets OAuth2 (read/write) • OpenAI API key (GPT-4o-mini) • Slack API credentials • Self-hosted n8n recommended 💡 Key Benefits ✔ Identifies high-value upsell opportunities automatically ✔ Context-aware AI recommendations (not generic offers) ✔ Clear before-arrival vs. during-stay logic ✔ Real-time team visibility via Slack ✔ Centralized tracking in Google Sheets ✔ Built-in error monitoring 👥 Perfect For Hotels and resorts Revenue and upsell teams Front-desk and concierge teams Hospitality operators focused on guest experience and ARPU growth

📊 Description This workflow automatically creates a daily market intelligence brief for your stock portfolio. Instead of checking prices, news, and social media separately, it brings everything together into one clear update. On a scheduled basis, the workflow reads your stock list from Google Sheets and processes each stock individually. It fetches the latest stock price data, recent market news, and investor sentiment from public sources. All this information is then analyzed by AI to identify what truly matters, filtering out noise and repeated information. The AI generates a concise market summary that highlights overall sentiment, key drivers, risks, and one actionable insight for the day. The final result is sent directly to Slack as a clean, easy-to-read message, helping you stay informed without manual effort. This workflow is ideal for anyone who wants a clear daily view of market conditions without spending hours monitoring multiple platforms. ⚙️ What This Workflow Does Runs automatically on a daily schedule Reads stock symbols from Google Sheets Fetches latest stock price data Collects recent market news Gathers investor sentiment from public discussions Uses AI to summarize market-moving signals Sends one actionable daily brief to Slack ✅ Key Benefits Saves time by automating market monitoring Reduces noise and highlights what actually matters Combines prices, news, and sentiment in one place Provides clear daily insights instead of raw data Easy to adjust for different portfolios or schedules 🧩 Features Scheduled daily execution Portfolio-based stock tracking Market news collection via RSS Social sentiment analysis from Reddit AI-driven market intelligence summary Structured output for alerts or reporting Slack integration for daily delivery 🔐 Requirements To use this workflow, you will need: Alpha Vantage API key for stock price data OpenAI account for AI analysis Google Sheets access for portfolio input Slack account for message delivery n8n instance (cloud or self-hosted) 🎯 Target Audience Stock investors Portfolio managers Market analysts Finance teams Founders and operators tracking markets Automation builders in finance

Who this workflow is for Consulting firms in strategy, management, or IT who want to automate client onboarding and internal task assignment. What this workflow does Automatically creates onboarding tasks and checklists using AI, routes them to the right consultant, logs client info in Google Sheets, and sends client welcome emails. Internal teams get Slack notifications, and kickoff meetings can be scheduled automatically. How the workflow works New client intake triggers workflow AI generates onboarding checklist Tasks routed based on project type Client info logged in Google Sheets Slack notifications sent to consultants Optional PDF of onboarding sent to client Email confirmation delivered to client Optional CRM integration Setup Instructions Connect Webhook/Form for intake Connect Google Sheets Connect OpenAI Connect Slack and email Configure optional CRM integration Author: Hyrum Hurst, AI Automation Engineer Company: QuarterSmart Contact: [email protected]

🧾 An intelligent automation system that turns Google Meet recordings into structured meeting notes — integrating Fireflies.ai, OpenAI GPT-4.1-mini, Notion, Slack, Google Drive, and Gmail via n8n. 🎥 Demo: Watch the Loom walkthrough ⚙️ What It Does The Google Meet Notes Generator & Distributor automates the entire post-meeting workflow. Workflow Summary: Fetches Google Meet transcript via Fireflies.ai webhook. Aggregates and summarizes transcript using OpenAI GPT-4.1-mini into: Title Summary Decisions Action Items Risks Questions Stores the transcript as a text file on Google Drive and generates a shareable link. Creates a Notion page with all the meeting details. Posts the summary in #meeting Slack channel. DMs each attendee on Slack with personalized meeting notes. Sends email recap to all attendees via Gmail. Result: No more manual note-taking or scattered updates — everything centralized, formatted, and instantly shareable. 💡 Use Cases | Scenario | Description | | --------------------------- | --------------------------------------------------------------------------------------- | | Team Meeting Summaries | Automatically summarize and distribute meeting notes for internal teams. | | Project Management | Keep structured decisions, action items, and risks documented for each project meeting. | | Remote Teams | Notify distributed teams in Slack and via email without extra effort. | | Client Updates | Share polished meeting summaries with clients instantly. | | Knowledge Base / Notion | Archive structured notes in Notion for reference and compliance. | 🔧 Setup Accounts and Tools Needed | Tool | Purpose | | -------------------------- | ---------------------------------------------- | | 🤖 Fireflies.ai API | Fetch Google Meet transcripts via webhook | | 🧠 OpenAI API | Summarize and structure transcript into notes | | 📓 Notion API | Create structured meeting pages | | 💬 Slack OAuth/Bot | Post summaries in channel and DM attendees | | 🗂 Google Drive OAuth2 | Store transcripts and generate shareable links | | ✉️ Gmail OAuth2 | Email meeting recaps to attendees | Fireflies.ai Setup Get API key from Fireflies.ai. Configure n8n → Credentials → Fireflies API. Ensure webhook triggers are set to send meetingId to n8n. OpenAI Setup Generate API key at OpenAI. Add to n8n → Credentials → OpenAI API. Use model GPT-4.1-mini in Agent and Generate Slack Message nodes. Notion Setup Create a Notion integration and share your workspace. Add API token in n8n → Credentials → Notion API. Map workspace/page IDs to Notion Page node. Slack Setup Create Slack Bot in workspace with chat:write and users:read permissions. Add OAuth token in n8n → Credentials → Slack API. Connect to Send a message #meeting and DMs to Attendees nodes. Google Drive Setup Create a folder for transcripts. Enable Google Drive API in Google Cloud Console. Add OAuth2 credentials to n8n → Google Drive. Gmail Setup Enable Gmail API in Google Cloud. Add OAuth2 credentials in n8n → Gmail. Connect to Email to Attendees node. n8n Workflow Setup Import provided n8n workflow JSON. Configure all credentials: Fireflies, OpenAI, Notion, Slack, Google Drive, Gmail. Activate workflow. Test by sending a meeting ID via webhook. Workflow automatically: Fetch → Summarize → Store → Notion → Slack → DM → Email 🧠 Result A fully automated AI pipeline that transforms Google Meet recordings into polished, shareable meeting notes — eliminating manual note-taking and keeping your team informed in real time. 📞 Support & Contact If you face any issues during setup or execution, contact: 📧 Email: [email protected] 🔗 LinkedIn: Atharva Jaiswal

How It Works ⚙️ This workflow is a comprehensive, AI-powered system that acts as a virtual patient assistant for clinics. It automates the entire patient journey from appointment confirmation to post-procedure follow-up. Appointment Trigger: The workflow starts when a new event is created in your Google Calendar for a patient appointment. AI-Powered Education: The new appointment is sent to an OpenAI (GPT-4) node, which acts as a virtual clinic assistant. It instantly generates a personalized pre-procedure guide based on the appointment's details. Automated Communication: The workflow then uses Twilio to send this AI-generated guide directly to the patient via SMS or WhatsApp, ensuring they are well-prepared for their appointment. Post-Procedure Follow-up: After the appointment ends, a Wait node pauses the workflow for a set period. It then sends a personalized follow-up message—also generated by OpenAI—to the patient, encouraging them to provide feedback. Staff Notification: A Slack notification is sent to the team once a follow-up message has been dispatched, keeping everyone informed and ready to act on incoming feedback. How to Set Up 🛠️ Import the Workflow: Copy the provided workflow JSON and import it into your n8n instance. Configure Credentials: Google Calendar: Add your OAuth2 credential. OpenAI: Add your API Key. Twilio: Add your API credentials. Slack: Add your Bot Token credential. Customize Workflow Nodes: Node 1 (Google Calendar Trigger): Select your clinic's booking calendar. Node 2 & 5 (OpenAI): You can customize the prompts to better match your clinic's tone and specific procedures. Node 3 & 6 (Twilio): Replace YOUR_TWILIO_NUMBER with your Twilio number and ensure you can extract the patient's phone number from your calendar events (e.g., from the event description). Node 7 (Slack): Replace YOUR_SLACK_CHANNEL_ID with the ID of your team's feedback or operations channel. Save & Activate: Once all settings and credentials are configured, save the workflow and click the "Inactive" toggle in the top-right corner to make it live.

🧩 What This Workflow Does This workflow automates the process of identifying and enriching decision-maker contacts from a list of companies. By integrating with Apollo's APIs and Google Sheets, it streamlines lead generation, ensures data accuracy through human verification, and maintains an organized leads database. 📚 Use Case Ideal for sales and marketing teams aiming to: Automate the discovery of key decision-makers (e.g., CEOs, CTOs). Enrich contact information with LinkedIn profiles, emails, and phone numbers. Maintain an up-to-date leads database with minimal manual intervention. Receive weekly summaries of newly verified leads. 🧪 Setup Google Sheets Preparation: Use the following pre-configured Google Sheet: Company Decision Maker Discovery Sheet. This spreadsheet includes the necessary tabs and columns: Companies, Contacts, and Contacts (Verified). It also contains a custom onEdit Apps Script function that automatically updates the Status column to Pending whenever the Domain field is modified. To review or modify the script, navigate to Extensions > Apps Script within the Google Sheet. Credentials Setup: Configure the following credentials in your n8n instance: Google Sheets: To read from and write to the spreadsheet. Slack: To send verification prompts and weekly reports. Apollo: To access the Organization Search, Organization Enrichment, People Search, and Bulk People Enrichment APIs. LLM Service (e.g., OpenAI): To generate company summaries and determine departments based on job titles. Workflow Configuration: Import the workflow into your n8n instance. Update the nodes to reference the correct Google Sheet and Slack channel. Ensure that the Apollo and LLM nodes have the appropriate API keys and configurations. Testing the Workflow: Add a new company entry in the Companies tab of the Google Sheet. Verify that the workflow triggers automatically, processes the data, and updates the Contacts and Contacts (Verified) tabs accordingly. Check Slack for any verification prompts and confirm that weekly reports are sent as scheduled.

Automatically backs up your workflows to Github and generates documentation in a Notion database. Weekly run, uses the "internal-infra" tag to look for new or recently modified workflows Uses a Notion database page to hold the workflow summary, last updated date, and a link to the workflow Uses OpenAI's 4o-mini to generate a summarization of what the workflow does Stores a backup of the workflow in GitHub (recommend a private repo) Sends notification to Slack channel for new or updated workflows Who is this for Anyone seeking backup of their most important workflows Anyone seeking version control for their most important workflows Credentials required N8N: You will need an N8N credential created so the workflow can query the N8N instance to find all active workflows with the "internal-infra" tag Notion: You will need an Notion credential created OpenAI: You will need an OpenAI credential, unless you intend on rewiring this with your AI of choice (ollama, openrouter, etc.) GitHub: You will need an GitHub credential Slack: You will require an Slack credential, recommend a Bot / access token configuration Setup Notion Create a database with the following columns. Column type is specified in [type]. Workflow Name [text] isActive (dev) [checkbox] Error workflow setup [checkbox] AI Summary [text] Record last update [date/time] URL (dev) [text/url] Workflow created at [date/time] Workflow updated at [date/time] Slack Create a channel for updates to be posted into Github Create a private repo for your workflows to be exported into N8N Download & install the template Configure the blocks to use your N8N, Notion, OpenAI & Slack credentials for your own Edit the "Set Fields" block and change the URL to that of your N8N instance (cloud or self-hosted) Edit the "Add to Notion" action and specify the Database page you wish to update Edit the Slack actions to specify the Channel you want slack notifications posted to Edit the GitHub actions to specify the Repository Owner & Repository Name Sample output in Notion Workflow diagram

Built this for a dedicated Slack outage-notifications channel — works well on both desktop and mobile. This is for: IT Administrators & small MSPs looking to streamline M365 alerts from one or multiple mailboxes into a single or specific Slack channels IT Admins who prefer ChatOps over management-by-email What does it do Scans for M365 outage alerts emails (every 1 min) Checks if it impacts a specific user region (if the alert calls it out, countries have to be manually set) Summarizes the incident using OpenAI o4-mini (cheap model - or you can swap for local Ollama) Sends a Slack Block to your outage channel with incident link (can be extended) Deletes the original alert email after successful delivery Credentials Outlook: Create an Outlook credential (OAuth2.0) to point to the mailbox (regular or shared) where M365 service alerts will be received Slack: Create a Slack bot credential with access to the slack channel you want updates posted to OpenAI: Create a OpenAI credential that has access to the GPT-4O-MINI model. Recommend you use projects in OpenAI so that you may set a per-project-budget and not impact other projects. Review this OpenAI documentation for more info on managing Projects in the API portal. Expect this to consume no more than 1-2 cents per month on average. Setup Download & import the workflow Modify the first Outlook block (Check for 365 Service Alert) to use the Outlook credential Modify the OpenAI block's system prompt to call out the countries your users reside in ie. "- Assume the organization has users primarily in the U.S. and Australia. If those regions are affected, state: "Your users may have been affected." Otherwise, add: "No impact expected for your user base."" ← swap U.S. & Australia for desired countries Modify the Slack block (Post outage to Slack) to specify the channel updates will be posted to Sample Slack Output Workflow Diagram

Overview This workflow automates the end-to-end process of creating, optimizing, and publishing content on WordPress. It integrates AI-powered tools, Airtable, and WordPress plugins to generate high-quality, on-brand posts effortlessly. Perfect for content creators, marketers, and business owners looking to save time and scale their content strategy. Features Content Creation: AI-Powered Content:** Generates SEO-friendly blog posts with structured headings, relevant keywords, and meta descriptions. Custom Prompts:** Tailor the AI-generated content to match your brand’s tone and voice. SEO Optimization: RankMath Plugin Integration:** Updates RankMath SEO with focus keywords and meta descriptions, ensuring your content is search-engine optimized. Content Management: Airtable Integration:** Organizes content ideas, drafts, and publishing schedules in one place. Easily scalable for teams or solo creators. Visuals: Branded Featured Images:** Automatically generates on-brand images for every post. Publishing: Effortless Formatting:** Adapts content to fit your WordPress theme and schedules it for publication. Workflow Steps Trigger: Initiated manually or on a schedule. Content Management: Retrieves and organizes ideas from Airtable. Content Generation: Generates AI-driven blog content tailored to your audience. SEO Optimization: Automatically updates RankMath with SEO details. Featured Image Creation: Produces on-brand images for the post. Publishing: Formats and schedules the post on WordPress. Prerequisites API Keys: OpenAI Airtable WordPress REST API RankMath SEO Plugin Custom Code: Add a small update to your WordPress theme’s functions.php file to enable seamless automation. Customization Replace Airtable with another content management system if preferred. Adjust AI prompts to reflect different tones, styles, or industries. Add integrations for additional plugins, analytics, or storage services. Usage Import the workflow into your n8n instance. Configure API credentials for WordPress, Airtable, OpenAI, and RankMath. Update your functions.php file with the provided code snippet. Customize prompts and Airtable structure for your content needs. Trigger the workflow manually or set it on a schedule. Notes Experiment with Airtable views or add filters for more granular control over your content pipeline. Extend the workflow to include social media posting or analytics tracking. For questions, refer to n8n documentation or reach out to the creator. Tools Used Airtable OpenAI GPT WordPress REST API RankMath SEO Plugin Feel free to adapt and extend this workflow to meet your specific needs! 🎉

Analyze website SEO issues and generate optimization actions with AI Author: Hyrum Hurst, AI Automation Engineer at QuarterSmart Contact: [email protected] This workflow provides a fully automated, AI-powered SEO analysis system designed to turn any website URL into a structured set of clear, actionable optimization recommendations. Instead of relying on manual audits, browser extensions, or generic SEO tools, this automation programmatically inspects a page’s core on-page elements and uses AI to translate raw data into practical next steps. The workflow is built for repeatability, scale, and operational use inside agencies, internal marketing teams, and consulting environments. Results are logged, scored, and routed automatically so teams can focus on execution rather than analysis. What this workflow does When a URL is submitted, the workflow: Fetches the full HTML content of the page Extracts critical SEO-relevant elements such as: Page title Meta description Heading hierarchy (H1–H6) Internal and external links Image tags and alt text Sends the extracted data to an AI model for structured analysis Generates specific, prioritized SEO recommendations, including: Keyword optimization opportunities Title and meta description improvements Heading structure fixes Internal linking suggestions Content clarity and relevance improvements Assigns an overall optimization score to the page Logs all results to Google Sheets for tracking, reporting, and comparison over time Sends summaries or alerts to Slack or email when critical issues are detected This creates a hands-off SEO assistant that can be run on demand, scheduled, or integrated into larger automation systems. How it works (high level) A URL is submitted via a Manual Trigger or Webhook An HTTP Request node fetches the page HTML HTML parsing nodes extract structured on-page elements An AI model analyzes the extracted content and generates recommendations A Set node formats the output into clean, readable fields Google Sheets stores the audit results for reporting and history A Switch node routes results based on severity or score Slack and/or email nodes notify stakeholders when action is required The workflow is modular and can easily be extended with additional checks, scoring logic, or integrations. Use cases This template is applicable across many industries and workflows, including: Digital marketing agencies** Run fast, consistent SEO audits for client websites and landing pages. SEO consultants and freelancers** Automate recurring audits and deliver structured recommendations at scale. Ecommerce businesses** Analyze product pages and category pages for discoverability improvements. SaaS companies** Optimize landing pages, feature pages, and pricing pages for search traffic. Content teams and bloggers** Improve on-page SEO without manual checklists or tooling overhead. Web development agencies** Validate SEO readiness before site launches or migrations. Local businesses** Continuously monitor service pages for SEO health and optimization gaps. Real estate, travel, and hospitality websites** Improve visibility of listings, booking pages, and informational content. Why this workflow is useful Eliminates repetitive manual SEO checks Produces standardized, actionable output Works across unlimited URLs and clients Easy to customize for different SEO frameworks Ideal for automation-first teams and agencies This workflow is designed to act as a practical SEO operations layer, not just an analysis tool. For setup support, customization, or help integrating this workflow into your agency or internal systems, contact Hyrum Hurst, AI Automation Engineer at QuarterSmart, at [email protected].

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. AI Blog Automation for Shopify is a n8n workflow that automatically transforms your Shopify products into engaging, problem-focused blog posts. Say goodbye to spending 5+ hours per article – this workflow generates SEO-optimized content that addresses customer pain points, not just product features. 🎯 Who is this for? E-commerce store owners** wanting consistent content marketing without the time investment. Dropshipping entrepreneurs** with frequent product launches needing automated blog content. Shopify merchants** who know blogging drives traffic but lack writing resources. Content marketers** seeking scalable, cost-effective blog automation. 🚨 Problem Solved Creating quality blog content is time-consuming and expensive. Most store owners either skip blogging entirely or burn out after a few posts. This workflow solves it by: Automatically generating problem-first content (not salesy product descriptions). Creating stunning AI-generated hero images for each post. Publishing directly to your Shopify blog with proper SEO formatting. Costing only $0.05-0.15 per post vs. $200+ for professional writers. ⚙️ What This Workflow Does | Feature | Description | |---------|-------------| | Triggers | - Manual execution for existing products- Automatic trigger when new products are created | | Analyzes Products | Uses LangChain + OpenAI to:- Identify core problems the product solves- Analyze customer pain points- Generate problem-focused angles | | Creates Content | GPT-4o-mini generates 1000-1500 word articles:- Problem-first approach (not product-first)- SEO-optimized structure- Natural product integration- Soft call-to-actions | | Generates Images | DALL-E 3 creates blog hero images:- Matches blog theme (not just product)- Brand-consistent styling- Mobile-optimized dimensions | | Hosts Images | Uploads to ImgBB (free CDN):- No expiration- Fast global delivery- Direct URL integration | | Publishes | Posts directly to Shopify blog:- Proper HTML formatting- SEO meta descriptions- Relevant tags- Mobile-responsive images | 🚀 Setup Instructions 🔐 Credentials Needed Shopify Access Token API** (with read_products, write_content, read_content scopes) OpenAI API** (for content + image generation) ImgBB API** (free image hosting) 🔧 Shopify Configuration Create private app in Shopify admin Enable required API scopes: read_products - Read product data write_content - Create blog posts read_content - Access blog configuration Copy access token (starts with shpat_) 🧩 Node Setup Manual Trigger** — For on-demand execution Shopify Trigger** — Auto-runs on product creation Shopify Node** — Fetches product data LangChain + OpenAI** — Generates problem-focused content Structured Output Parser** — Formats AI response HTTP Request** — Retrieves blog configuration DALL-E Node** — Creates hero images ImgBB Upload** — Hosts images on free CDN GraphQL Mutation** — Publishes to Shopify blog 🛠️ Customization Tips | Feature | How to Customize | |---------|------------------| | Content Length | Adjust word count in AI Content Generator prompt | | Image Style | Modify DALL-E prompt for brand colors/aesthetics | | Author Name | Change author field in Publish Blog Article node | | Blog Selection | Update blog ID to target specific Shopify blog | | Publishing | Set isPublished: false to save as drafts | | Brand Voice | Customize tone and style in content prompts | 📦 Pre-Requirements n8n instance (Cloud or self-hosted)** (Cloud/Self-hosted) Install: @n8n/n8n-nodes-langchain Shopify private app** with proper scopes OpenAI account** with billing enabled ImgBB account** (free) 🔧 Nodes Used Manual Trigger Shopify Trigger Shopify LangChain LLM OpenAI Chat Model Structured Output Parser HTTP Request OpenAI (DALL-E) Wait ✅ Test the Workflow Import workflow and configure all credentials. Update store URLs and API tokens. Run manually or add a new product to trigger automatically. Check your Shopify blog for the new problem-focused post! 💰 Expected Results Time Saved**: 5+ hours per blog post Cost**: $0.10-0.20 per post (vs. $200+ for writers) Traffic**: 40-60% increase within 3 months (typical) Content Quality**: Problem-focused, not salesy Made by: Khaisa Studio Tags: shopify, blog, automation, ai, content-marketing, seo Category: E-commerce Automation, Content Marketing Need customization? contact me on LinkedIn or Web

Boost your sales team’s efficiency with an end-to-end, privacy-first lead-scoring engine—ready to drop straight into your n8n instance. 🔹 What it does Salesforce Trigger watches for new or updated Leads every hour. HTTP Request fetches the full record so you never miss a field. Mask Data (JS Code) automatically tokenises PII (name, email, address, etc.) before any external call—ideal for GDPR/SOC 2 compliance. OpenAI (GPT-4o) scores each lead 0-100, assigns a grade A-F, lists key reasons, recommends one next action, and even drafts a personalised email template. Unmask Data (JS Code) swaps the tokens back in only when you explicitly need them—so sensitive data never leaks to logs or AI prompts. Slack Node delivers a concise, team-friendly summary (score, grade, reasons, next step, and draft email) right to the rep who needs it. 🔹 Why you’ll love it Security by design – field-level masking with reversible tokens. No-code friendly – clear sticky notes explain every step; swap Salesforce for any CRM in minutes. AI you can trust – scoring rubric baked into the system prompt for consistent results. Instant hand-off – reps get an actionable Slack message instead of another spreadsheet. Perfect for rev-ops teams that want smarter prioritisation without rebuilding their stack—or exposing customer data. Plug it in, set your own masking list, and start converting the leads that matter most.

UPDATE This is an updated version of the previous Ultimate Content Generator for WordPress v2. https://n8n.io/workflows/2737-ultimate-content-generator-for-wordpress/ It includes an additional workflow to generate content using Anthropic Claude in addition to OpenAI 4o. I also mofidied it to use the AI Agent Tool node with structured output for more consistent outputs. Lastly, the workflow updates a new table in AirTable with the published blog post url and featured image url. Overview- This workflow automates the end-to-end process of creating, optimizing, and publishing content on WordPress. It integrates AI-powered tools, Airtable, and WordPress plugins to generate high-quality, on-brand posts effortlessly. Perfect for content creators, marketers, and business owners looking to save time and scale their content strategy. Features Content Creation: AI-Powered Content: Generates SEO-friendly blog posts with structured headings, relevant keywords, and meta descriptions. Custom Prompts: Tailor the AI-generated content to match your brand’s tone and voice. SEO Optimization: RankMath Plugin Integration: Updates RankMath SEO with focus keywords and meta descriptions, ensuring your content is search-engine optimized. Content Management: Airtable Integration: Organizes content ideas, drafts, and publishing schedules in one place. Easily scalable for teams or solo creators. Visuals: Branded Featured Images: Automatically generates on-brand images for every post. Publishing: Effortless Formatting: Adapts content to fit your WordPress theme and schedules it for publication. Workflow Steps Trigger: Initiated manually or on a schedule. Content Management: Retrieves and organizes ideas from Airtable. Content Generation: Generates AI-driven blog content tailored to your audience. SEO Optimization: Automatically updates RankMath with SEO details. Featured Image Creation: Produces on-brand images for the post. Publishing: Formats and schedules the post on WordPress. Prerequisites API Keys: OpenAI Claude Airtable WordPress REST API Custom Code: Add a small update to your WordPress theme’s functions.php file to enable seamless automation. Customization Replace Airtable with another content management system if preferred. Adjust AI prompts to reflect different tones, styles, or industries. Add integrations for additional plugins, analytics, or storage services. Usage Import the workflow into your n8n instance. Configure API credentials for WordPress, Airtable, OpenAI, Claude and Slack. Update your functions.php file with the provided code snippet. Customize prompts and Airtable structure for your content needs. Trigger the workflow manually or set it on a schedule. Notes Experiment with Airtable views or add filters for more granular control over your content pipeline. Extend the workflow to include social media posting or analytics tracking. Feel free to adapt and extend this workflow to meet your specific needs! 🎉

What is this workflow? This n8n template automates the process of adding an AI-generated summary at the top of your WordPress posts. It retrieves, processes, and updates your posts dynamically, ensuring efficiency and flexibility without relying on a heavy WordPress plugin. Example of AI Summary Section How It Works Triggers → Runs on a scheduled interval or via a webhook when a new post is published. Retrieves posts → Fetches content from WordPress and converts HTML to Markdown for AI processing. AI Summary Generation → Uses OpenAI to create a concise summary. Post Update → Inserts the summary at the top of the post while keeping the original excerpt intact. Data Logging & Notifications → Saves processed posts to Google Sheets and notifies a Slack channel. Why use this workflow? ✅ No need for a WordPress plugin → Keeps your site lightweight. ✅ Highly flexible → Easily connect with Google Sheets, Slack, or other services. ✅ Customizable → Adapt AI prompts, formatting, and integrations to your needs. ✅ Smart filtering → Ensures posts are not reprocessed unnecessarily. 💡 Check the detailed sticky notes for setup instructions and customization options!

YouTube to X Post Overview This n8n workflow automates the process of promoting your latest YouTube videos on X (formerly Twitter). It ensures that posts are engaging, concise, and follow platform-specific requirements. Additionally, the workflow logs social posts into a Google Sheet for record-keeping. Features Fetch Latest YouTube Videos:** Pulls recently uploaded videos from a specified channel. Generate Engaging X Posts:** Uses OpenAI's GPT-4 to create tailored, witty posts about your videos. Character Limit Validation:** Ensures posts comply with X's character limit by rewriting if necessary. Post Scheduling:** Automates post publishing to X. Google Sheets Integration:** Logs posts and their status for tracking and management. Optional Notifications:** Sends updates via Discord, Slack, or Gmail (disabled by default). How It Works Trigger: Manually trigger the workflow or set a scheduled check for new videos (disabled by default). Fetch YouTube Videos: Retrieves the latest videos from your YouTube channel, filtering duplicates. Content Creation: OpenAI generates a witty and humanized post under 220 characters, using video title and description. If the post exceeds the character limit, it is rewritten automatically. Google Sheets Logging: Logs the generated post to a Google Sheet with details like time, date, and post status. Post to X: Publishes the generated post on X. Updates the Google Sheet with the post URL. Optional Notifications: Sends notifications about the published post via Discord, Slack, or Gmail. Setup Instructions Credentials: Add credentials for: YouTube API OpenAI API Google Sheets API X (formerly Twitter) API Use the accounts associated with "AlexK1919." YouTube Node: Specify your YouTube Channel ID in the Fetch Latest Videos node. Find your Channel ID here. Google Sheets Node: Configure the node with your Google Sheet for logging posts. Use the linked sheet: AlexK1919 Social Posts. OpenAI Node: Set up your OpenAI API key for generating posts. X Post Node: Connect your X account to the Post to X node. Optional Notifications: Configure Discord, Slack, or Gmail nodes for custom notifications. Customization Schedule:** Enable and modify the Check Every 2 Hours node to automatically check for new videos. Post Format:** Edit the OpenAI prompt in the Generate X Post node to tweak the tone or style of the generated posts. Additional Platforms:** Expand this workflow to post on other social platforms by adding respective nodes (e.g., Facebook, LinkedIn). Notes Posts are validated for character limits but are restricted to 220 characters to ensure compliance with X's guidelines and leave space for links. Posts are logged in the Google Sheet with details, including post status and timestamps. Current integrations are focused on promoting YouTube content; additional types can be supported with minor adjustments. Contact For support or inquiries: Alex Kim** About Me

This workflow automates the process of gathering LinkedIn advice articles, extracting their content, and generating unique contributions for each article using an AI model. The contributions are then posted to a Slack channel and a NocoDB database for record-keeping. The workflow is triggered weekly to ensure new articles are continuously collected and responded to. Who is this for? This workflow is designed for professionals, marketers, and content creators looking to boost their LinkedIn presence by regularly engaging with LinkedIn advice articles. It’s especially useful for those who want to be seen as a "thought leader" or "top voice" in their niche by contributing relevant and unique advice to trending topics. What problem is this workflow solving? Manually searching for relevant LinkedIn articles, reading through them, and crafting thoughtful contributions can be time-consuming. This workflow solves that by automating the process of finding new articles, extracting key content, and generating AI-powered contributions. It helps users stay consistently active on LinkedIn, contributing value to trending discussions. What this workflow does Triggers Weekly: The workflow is set to run every Monday at 8:00 AM. Search Google for LinkedIn Advice Articles: Uses a predefined Google search URL to find the latest LinkedIn advice articles based on the user's area of expertise. Extract LinkedIn Article Links: A code node extracts all LinkedIn advice article links from the search results. Retrieve Article Content: For each article link, the workflow retrieves the HTML content and extracts the article title, topics, and existing contributions. Generate AI-Powered Contributions: The workflow sends the extracted article content to an AI model, which generates unique, helpful advice for each topic within the article. Post to Slack & NocoDB: The AI-generated contributions, along with the article links, are posted to a designated Slack channel and stored in a NocoDB database for future reference. Setup Google Search URL: Update the Google search URL with the relevant LinkedIn advice query for your field (e.g., "site:linkedin.com/advice 'marketing automation'"). Slack Integration: Connect your Slack account and specify the Slack channel where you want the contributions to be posted. NocoDB Integration: Set up your NocoDB project to store the generated contributions along with the article titles and links. How to customize this workflow Change Search Terms**: Modify the Google search URL to focus on a different LinkedIn topic or expertise area. Adjust Trigger Frequency**: The workflow is set to run weekly, but you can adjust the frequency by changing the schedule trigger. Enhance Contribution Quality**: Customize the AI model's prompt to generate contributions that align with your brand voice or content strategy. Workflow Summary This workflow helps users maintain a consistent presence on LinkedIn by automating the discovery of new advice articles and generating unique contributions using AI. It is ideal for professionals who want to engage with LinkedIn content regularly without spending too much time manually searching and drafting responses.

This n8n workflow demonstrates how to automate oftern time-consuming form filling tasks in the early stages of the tendering process; the Request for Proposal document or "RFP". It does this by utilising a company's knowledgebase to generating question-and-answer pairs using Large Language Models. How it works A buyer's RFP is submitted to the workflow as a digital document that can be parsed. Our first AI agent scans and extracts all questions from the document into list form. The supplier sets up an OpenAI assistant prior loaded with company brand, marketing and technical documents. The workflow loops through each of the buyer's questions and poses these to the OpenAI assistant. The assistant's answers are captured until all questions are satisified and are then exported into a new document for review. A sales team member is then able to use this document to respond quickly to the RFP before their competitors. Example Webhook Request curl --location 'https://<n8n_webhook_url>' \ --form 'id="RFP001"' \ --form 'title="BlueChip Travel and StarBus Web Services"' \ --form 'reply_to="[email protected]"' \ --form 'data=@"k9pnbALxX/RFP Questionnaire.pdf"' Requirements An OpenAI account to use AI services. Customising the workflow OpenAI assistants is only one approach to hosting a company knowledgebase for AI to use. Exploring different solutions such as building your own RAG-powered database can sometimes yield better results in terms of control of how the data is managed and cost.

(Retail) Social Review Monitoring This workflow automatically monitors WooCommerce product reviews, detects low-rated and approved reviews, checks whether the review already exists in Google Sheets, updates or inserts records accordingly, and sends a clear Slack alert generated using OpenAI for new low-rated reviews. This workflow runs on a schedule, fetches WooCommerce product reviews, filters only approved reviews with low ratings (≤ 2 stars), checks if the review already exists in Google Sheets, and then: Updates** the existing record if the review is already stored Generates a Slack alert* using OpenAI and adds a new row* if the review is new You receive: Automated monitoring of customer reviews** Centralized Google Sheets tracking** for low-rated reviews Instant Slack alerts** for new negative feedback Ideal for support, product and operations teams who want fast visibility into unhappy customer feedback without manual checks. What It Does This workflow automates negative review detection and response: Runs automatically every 5 hours Fetches product reviews from WooCommerce Processes reviews one by one Filters only approved reviews Identifies low-rated reviews (≤ 2 stars) Checks if the review already exists in Google Sheets Updates existing records or inserts new ones Sends a professional Slack alert for new reviews This ensures no duplicate alerts and keeps your review data up to date. Who’s It For This workflow is ideal for: E-commerce teams Customer support teams Product managers QA and operations teams Store owners monitoring customer satisfaction Requirements to Use This Workflow To run this workflow, you need: n8n instance** (cloud or self-hosted) WooCommerce REST API credentials** Google Sheets account** with edit access Slack workspace** with API permissions OpenAI API key** How It Works Scheduled Trigger – Workflow runs automatically every 5 hours Fetch Reviews – Pulls product reviews from WooCommerce Normalize Data – Extracts required fields Loop Reviews – Processes reviews one by one Approval Check – Allows only approved reviews Rating Check – Filters reviews rated 2 stars or lower Sheet Lookup – Checks if review ID already exists Decision Logic – Routes based on review existence AI Message Creation – Generates a Slack alert for new reviews Slack Notification – Sends alert to the configured channel Sheet Update – Updates or appends review data Setup Steps Import the provided n8n workflow JSON file Configure WooCommerce HTTP Request node with your credentials Connect your Google Sheets account and select the correct sheet Connect your Slack account and choose a channel Add your OpenAI API key to the OpenAI node Verify column names match your Google Sheet Activate the workflow How To Customize Nodes Change Rating Threshold Modify the Check Low Rating IF node: Adjust rating value (e.g., ≤ 3 stars) Add additional conditions if needed Customize Slack Message Edit the OpenAI prompt to: Change tone Add mentions Include product links Customize Google Sheet You can add extra columns such as: Response status Assigned team member Resolution notes Add-Ons (Optional Enhancements) You can extend this workflow to: Auto-create support tickets Send email alerts Detect repeated negative reviewers Add sentiment analysis Generate daily or weekly summary reports Use Case Examples 1\. Customer Support Alerts Notify support teams instantly about negative feedback. 2\. Product Quality Tracking Identify recurring product issues early. 3\. Review Auditing Maintain a clean, duplicate-free review log. Troubleshooting Guide | Issue | Possible Cause | Solution | |----------------------|--------------------------|----------------------------------------| | No Slack alert | Slack credentials missing| Reconnect Slack API | | Duplicate rows | Review ID mismatch | Verify lookup column | | Sheet update fails | Column name mismatch | Match sheet headers | | Workflow not running | Trigger disabled | Enable Schedule Trigger | Need Help? If you need help customizing or extending this workflow with advanced features like adding ticketing, dashboards or analytics, then our n8n workflow developers at WeblineIndia will be happy to assist.

If your team shares an inbox and someone has to manually read every email to decide where it goes, this workflow takes that off your plate. Emails come in, AI reads them, and the right Slack channel gets notified with a summary and priority level. Who is this for Teams that receive a mix of sales inquiries, support requests, and billing questions through a shared inbox. Instead of someone triaging emails by hand every morning, the AI handles it in real time. How it works The workflow polls Gmail for new emails every minute. Each email gets sent to OpenAI (gpt-4o-mini by default) with a prompt that classifies it into one of four categories: sales, support, billing, or spam. The AI also writes a short summary and assigns a priority level (low, medium, or high). A Switch node then routes the message to the correct Slack channel. Spam gets quietly dropped so your team never sees it. Every email that comes through gets logged to a Google Sheet with its timestamp, sender, subject, category, priority, and AI summary. So you always have a record of what came in and how it was handled. How to set it up Connect your Gmail, OpenAI, Slack, and Google Sheets credentials in n8n Create a Google Sheet with these columns: Timestamp, From, Subject, Category, Priority, Summary Open the "Configure Settings" node and fill in your Slack channel IDs for sales, support, and billing, plus your Google Sheet ID Activate the workflow and send yourself a test email Requirements Gmail account with OAuth connected in n8n OpenAI API key (gpt-4o-mini costs roughly $0.15 per 1M input tokens, so classification is very cheap) Slack workspace with OAuth connected in n8n Google Sheets for logging Customizing the workflow Want more categories? Edit the system prompt in the "Classify Email Intent" node to add new categories (e.g. "partnerships", "recruitment"), then add matching outputs to the Switch node and wire them to new Slack channels. You can also change the polling interval on the Gmail trigger if every minute is too frequent. And if you want more accurate classification, swap gpt-4o-mini for gpt-4o in the OpenAI node, though it'll cost a bit more per email.

Who is this for Founders, marketing managers, and ops teams who track weekly business metrics in Google Sheets and want an automated AI-generated performance report delivered to Slack and email every Monday. Perfect for agencies, e-commerce businesses, and SaaS teams who need a quick pulse check without building custom dashboards. How it works Every Monday at 8am, the workflow pulls the last 14 days of business metrics from your Google Sheet. A code node calculates week-over-week comparisons for revenue, leads, conversions, ad spend, and support tickets — plus derived metrics like conversion rate and ROAS. The calculated data is sent to OpenAI, which generates a concise performance digest with five sections: headline summary, wins, areas to watch, recommended priorities for the week, and a brief outlook. The digest is formatted for both Slack (plain text with emoji) and email (styled HTML with a metrics table), then delivered to both channels simultaneously. How to set up Open the Set report config variables node and fill in your Google Sheet ID, sheet name, Slack channel, email recipients, and company name. Prepare your Google Sheet with these columns: Date, Revenue, Leads, Conversions, Ad Spend, Support Tickets. Enter at least 14 rows of daily data. Connect your Google Sheets, OpenAI, Slack, and Gmail credentials. Optionally adjust the schedule trigger for a different day or time. Activate the workflow. You can also trigger it manually for an immediate test. Requirements Google Sheets with weekly business metrics (at least 14 days of data) OpenAI API key (GPT-4o-mini recommended for cost efficiency) Slack workspace Gmail account How to customize Change the metric columns in the Calculate weekly comparisons code node to match your actual data structure. Modify the AI prompt to focus on your industry-specific KPIs or add a different reporting tone. Add a PDF generation step to create executive-ready downloadable reports. Split the delivery to send different summaries to different Slack channels (e.g., marketing metrics to #marketing, support metrics to #support).

Who is this for Sales teams and agencies using Retell AI for voice outreach who want to automatically analyze every call and push insights into their CRM. Ideal for businesses running AI voice agents that need structured post-call intelligence without manual review. How it works When a Retell AI voice call ends, the platform sends a call_analyzed webhook to this workflow. It parses the transcript, call duration, and metadata, then sends everything to OpenAI for analysis. The AI returns structured data: sentiment, lead score (1-10), key topics, buying signals, objections, action items, and a recommended next step. The enriched data is synced to HubSpot, updating the contact record. If the lead score meets your threshold, the workflow alerts your sales team on Slack and creates a priority follow-up task in HubSpot. Every call is logged to Google Sheets for tracking. How to set up Open the Set user config variables node and enter your Slack channel, lead score threshold (default: 7), Google Sheet ID, and sheet name. Connect your OpenAI, HubSpot, Slack, and Google Sheets credentials in each respective node. Copy the production webhook URL from the trigger node and add it to your Retell AI dashboard under Webhook Settings for the call_analyzed event. Create a Google Sheet with columns: Date, Call ID, From Number, Duration, Sentiment, Lead Score, Summary, Action Items, Qualified. Activate the workflow and make a test call to verify the full pipeline. Requirements Retell AI account with an active voice agent OpenAI API key (GPT-4o-mini or GPT-4o) HubSpot CRM account Slack workspace with a bot token Google Sheets How to customize Adjust the lead score threshold in the config node to control when hot lead alerts fire. Modify the AI analysis prompt to extract industry-specific fields (e.g., appointment booked, insurance type, budget range). Add a Twilio SMS branch for instant text follow-ups to hot leads. Connect additional CRM nodes if you use Pipedrive, Salesforce, or another platform instead of HubSpot.

Description AI-powered priority re-evaluation every 2 hours. Analyzes new signals, meeting decisions, emails, and blockers, then runs 3 AI passes (Impact, Urgency, Final Ranking) to suggest re-ranking. Only updates when the ranking actually changes. Context Runs every 2 hours during work days (8:00–18:00). Pulls 5 data sources in parallel: open priorities, recent high-impact signals, today’s meeting decisions, urgent emails, and overdue/blocked actions. A Priority Context Matrix links each priority to relevant new information. Three sequential AI passes score Impact, Urgency, and produce a Final Ranking with rationale. CompareDatasets detects changes vs current ranking. Only if the ranking changed, Notion is batch-updated and Slack shows before/after. Who is this for? • PMs managing dynamic priority stacks • Product leaders who need real-time priority alignment • Teams where priorities shift frequently due to customer signals Requirements • Notion account with PM Daily databases • OpenAI API key • Slack Bot token How it works Trigger Runs every 2 hours, Monday–Friday, 8:00–18:00. Context Collection 5 parallel pulls: open priorities, signals, meetings, emails, blocked actions. Priority Matrix Links each priority to relevant signals, emails, and decisions. Deduplicates and normalizes. 3-Pass AI Scoring Pass 1: Impact. Pass 2: Urgency. Pass 3: Final Ranking with rationale. Change Detection Compares new vs current ranking. If changed: batch-updates Notion and posts before/after to Slack. What you get Continuous priority re-evaluation every 2 hours 3-pass AI scoring (Impact, Urgency, Final) Change detection — only updates when needed Before/after ranking comparison on Slack 40+ node workflow with CompareDatasets intelligence About me : I’m Yassin a Product Manager Scaling tech products with data-driven project management. 📬 Feel free to connect with me on Linkedin

> This n8n workflow template uses a community node and is only compatible with the self-hosted version of n8n. Who's it for DevOps teams, platform engineers, and ops leads who use Slack bots for infrastructure tasks but need to control who can trigger what. Ideal for teams that have outgrown hardcoded IF-node permission checks. How it works A team member @mentions the bot in Slack with a DevOps request like "restart staging" or "deploy to production." OpenAI classifies the message into a structured action and resource. Permit.io then checks if that Slack user's role allows the action. If permitted, the workflow executes the action and posts the result. If denied, the bot responds with the user's current permissions and suggests who can help. How to set up Install the @permitio/n8n-nodes-permitio community node Create a Slack app with app_mentions:read, chat:write, channels:read, users:read scopes Add your OpenAI API key In Permit.io, create resources (logs, staging, production, secrets) with actions (view, deploy, restart, rotate) and roles (viewer, developer, sre, admin) Sync your team's Slack user IDs as users in Permit.io and assign roles Requirements Self-hosted n8n instance Slack workspace with a bot app OpenAI API key Permit.io account (free tier works) How to customize Replace the mock HTTP Request node with your actual infrastructure endpoints (GitHub Actions, ArgoCD, Jenkins, etc.) Add ABAC conditions in Permit.io for time-based or context-based rules without changing the workflow Extend with additional resources and actions to match your team's operations

Facebook Group Auto-Moderation This workflow automatically monitors Facebook Group posts, analyzes them using AI, detects policy violations, logs incidents, notifies moderators and automatically hides high-severity posts to keep the community clean and safe. This workflow listens to new Facebook Group posts in real time, processes each post individually and sends the post content to AI for moderation.If a post violates group rules (spam, scam, hate, adult content or aggressive promotion), the workflow alerts moderators, stores the violation in Airtable and automatically hides the post if the severity is high. You receive: Real-time AI moderation of Facebook Group posts** Automatic hiding of high-risk content** Slack alerts for moderation actions** Airtable logging for audit and tracking** Ideal for Facebook Group admins who want fast, consistent and automated moderation without manual review of every post. Quick Start – Implementation Steps Connect the Facebook Group Webhook to your n8n instance. Add your Facebook Page Access Token as an environment variable. Connect OpenAI credentials for content moderation. Configure Slack for alerts and Airtable for logging. Test using sample Facebook post data. Activate the workflow. What It Does This workflow automates Facebook Group moderation: Receives new group posts via webhook. Splits and processes posts one by one. Normalizes post data (ID, message, user, time). Sends post content to AI for moderation analysis. Determines: Violation or not Category (spam, scam, hate, adult, etc.) Severity (low / medium / high) Logs violations into Airtable. Sends alerts to Slack. Automatically hides posts marked as high severity. Notifies the team whether auto-hide succeeded or failed. Who’s It For This workflow is ideal for: Facebook Group admins & moderators Community management teams Social media operations teams Platforms handling large group volumes Anyone needing automated moderation at scale Requirements to Use This Workflow To run this workflow, you need: n8n instance** (cloud or self-hosted) Facebook Group Webhook subscription** Facebook Page Access Token** OpenAI API key** Slack workspace** with API access Airtable base** + Personal Access Token How It Works Receive Facebook Post – Webhook captures new group posts. Process Posts – Posts are handled one at a time. Normalize Data – Extracts clean post and user details. AI Moderation – AI analyzes the post for rule violations. Violation Check – Determines whether action is needed. Severity Check – Only high-risk posts are auto-hidden. Hide Post – Facebook API hides the post automatically. Log & Notify – Slack alerts + Airtable records are created. Setup Steps Import the workflow JSON into n8n. Configure the Webhook node and subscribe it to your Facebook Group. Add FB\_PAGE\_ACCESS\_TOKEN in n8n environment variables. Connect OpenAI, Slack and Airtable credentials. Verify Airtable field names match the workflow mapping. Test using pinned sample data. Activate the workflow. How To Customize Nodes Customize Moderation Rules Edit the AI Content Moderation node to: Adjust strictness Add or remove categories Change severity logic Customize Slack Alerts You can add: Emojis Mentions (@channel / @here) Direct links to the Facebook post Customize Auto-Hide Logic Change the Severity High? IF node to: Auto-hide medium severity Disable auto-hide completely Add manual approval steps Add-Ons (Optional Enhancements) You can extend this workflow to: Add moderator approval before hiding posts Auto-ban repeat offenders Track user violation history Generate daily moderation summaries Add sentiment analysis Create dashboards using Airtable Interfaces Support multiple Facebook Groups Use Case Examples 1\. Spam Control Automatically hide promotional or scam posts. 2\. Community Safety Detect hate or adult content instantly. 3\. Moderator Efficiency Reduce manual review workload. 4\. Audit & Compliance Maintain a clear violation history in Airtable. 5\. Large Group Management Scale moderation without adding moderators. Troubleshooting Guide | Issue | Possible Cause | Solution | |----------------------|----------------------------|-------------------------------------------------------| | No posts received | Webhook not subscribed | Verify Facebook webhook setup | | AI result missing | OpenAI error | Check API key & rate limits | | Post not hidden | Token permission issue | Verify Page Access Token permissions | | Slack alert not sent | Invalid Slack credentials | Reconnect Slack API | | Airtable error | Field mismatch | Match Airtable column names exactly | Need Help? If you need help extending this workflow with multi-group moderation, advanced AI rules, dashboards or production-scale automation, our n8n automation experts at WeblineIndia can assist with custom workflow design and deployment.

A fully automated, AI-powered email assistant built in n8n that reads incoming emails, understands their intent and sentiment, classifies them by category, drafts intelligent context-aware replies, and sends them automatically — all without any human intervention. Built using OpenAI + Gmail/SMTP integration for any business or team. 🎯 What's the Goal? Replace slow, manual email handling with an always-on AI email assistant that reads every incoming message, understands what the sender needs, and responds instantly with a professional, personalized reply — escalating only when truly necessary. 💡 Why Does It Matter? Email overload is one of the biggest productivity killers for businesses. Teams spend hours every day reading, triaging, and replying to repetitive messages — support requests, meeting inquiries, sales questions, and more. This workflow automates the entire cycle: inbox → understand → reply → log → escalate, saving hours per day while improving response times from hours to seconds. ⚙️ How It Works Gmail trigger polls inbox for new unread emails Email content (subject + body) is extracted and cleaned AI classifies email: Support / Sales / Meeting / Complaint / Spam / General Sentiment is analyzed: Positive / Neutral / Negative / Urgent AI drafts a professional, context-aware reply based on classification If sentiment is Urgent or Negative → escalate to human via Slack If routine → auto-send reply via Gmail Email thread logged to Google Sheets (sender, category, sentiment, reply) Slack notification sent with summary for team awareness Label applied in Gmail for organization & tracking 🔧 Configuration Requirements Gmail OAuth2** (for reading inbox and sending replies) OpenAI API key** (for classification, sentiment & reply generation) Google Sheets OAuth2** (for email log & analytics) Slack Bot Token** (for escalation alerts & team summaries) Optional: SMTP credentials** (if using non-Gmail provider) Optional: CRM webhook** (to sync contacts & interactions) 🚀 Setup Guide Import this workflow into your n8n instance Connect credentials: Gmail OAuth2, OpenAI, Google Sheets, Slack Open the Set Email Config node and configure: check_interval_minutes — how often to poll inbox (recommended: 5) auto_reply_categories — which categories to auto-reply (e.g. Support, General) escalate_categories — which to escalate (e.g. Complaint, Urgent) sender_name — your name or business name for reply signature log_sheet_id — Google Sheets document ID for logging slack_channel — channel name for escalation alerts Customize reply templates in the Set Reply Templates node Run a test with a sample email using the manual trigger Verify reply quality in Gmail Sent folder Check Google Sheets log for the entry Activate workflow — it will now monitor inbox automatically Monitor escalation volume in Slack and tune thresholds weekly 📞 Contact Us Need help setting up or customizing this workflow for your business? 👉 https://www.oneclickitsolution.com/contact-us/

A smart, fully automated coding pipeline built inside n8n that leverages Cursor AI to write, refactor, review, and optimize code projects — triggered by a webhook, schedule, or manual prompt. Every output is versioned, stored, and delivered with a detailed review report. 🎯 What's the Goal? Eliminate the repetitive overhead of writing boilerplate code, performing code reviews, and refactoring legacy code manually. This workflow turns a plain-text task description into production-ready, reviewed, and optimized code — automatically and at scale — using Cursor AI's deep coding intelligence inside n8n. 💡 Why Does It Matter? Software teams lose hundreds of hours to boilerplate writing, manual code reviews, and inconsistent refactoring. AI-assisted coding with Cursor is powerful, but still requires manual triggering. By wiring Cursor into n8n, you get a repeatable, auditable, hands-free coding pipeline that integrates directly with your Git repos, Slack, and storage — making AI code generation a true part of your CI/CD culture, not just a one-off tool. ⚙️ How It Works Webhook or Schedule triggers the flow with a coding task description Task is classified (Generate / Review / Refactor / Optimize) Cursor AI API is called with the appropriate system prompt & task Raw code output is received and parsed A second Cursor pass performs automated code review & scoring If quality score passes threshold → code is committed to GitHub If score is below threshold → Cursor runs an optimization pass Final code + review report saved to Google Drive Summary logged to Google Sheets Slack notification sent with code snippet preview & Drive link 🔧 Configuration Requirements Cursor AI API key** (via Cursor developer access or proxy endpoint) GitHub Personal Access Token** (for auto-commit & PR creation) Google Drive OAuth2** (for storing code files & reports) Google Sheets OAuth2** (for logging task history & quality scores) Slack Bot Token** (for team notifications) Optional: OpenAI API key** (for task classification fallback) 🚀 Setup Guide Import this workflow into your n8n instance Connect all credentials: Cursor API, GitHub, Google Drive, Google Sheets, Slack Open the Set Task Config node and fill in: repo_owner and repo_name (your GitHub target repo) target_branch (e.g. ai-generated or main) quality_threshold (score 0–100, recommended: 75) storage_folder (Google Drive folder name) log_sheet_id (Google Sheets document ID) Test with a manual webhook POST containing { "task": "Write a Python FastAPI CRUD endpoint for users" } Review output in Drive and check Slack notification Activate the webhook for live use Optionally activate the daily schedule for batch processing queued tasks Monitor quality scores in Google Sheets and tune the threshold as needed

This n8n template serves as a security layer for your marketing efforts, ensuring that only high-quality, human-verified leads reach your CRM while automatically blacklisting bots and VPN-based submissions. How it works Lead Intake: The workflow triggers via a Webhook (e.g., from Tally.so or other form builders) when a new lead is submitted. Dual-Layer Analysis: IP Intelligence:** It queries AbstractAPI to check the lead's IP address for red flags like VPNs, proxies, or data centre origins. AI Intent Analysis:** Simultaneously, it sends the name and message to GPT-4o-mini to analyse the content for non-human patterns, gibberish, or spam scripts. Smart Filtering:** A Merge node combines these data points, and an If Node applies "OR" logic: if the IP is a VPN/Proxy OR the AI detects spam, the lead is flagged. Automated Action: Verified Leads:** Legitimate submissions are saved to a "Verified" Google Sheet for sales follow-up. Fraud Prevention:** Flagged leads are moved to a "Potential Spam" sheet. This list can be synced as an exclusion audience in Google or Meta Ads to prevent wasting budget on retargeting bots. Instant Alerts: The team is notified immediately via Slack whenever a fraudulent submission is neutralized. Requirements OpenAI API Key:** For lead content analysis. AbstractAPI Key:** For IP intelligence & security flags. Google Sheets:** To store verified and blacklisted lead data. Slack:** For real-time fraud alerts. Customising this workflow Field Mapping:** If your form uses different labels (e.g., "Comments" instead of "Message"), update the expressions in the Message model and Google Sheets nodes. Exclusion Logic:** You can tighten the filter by adding more conditions to the If Node, such as specific country blocking or email domain validation.

🧩 Description Automatically qualify, score, and route new leads using a hybrid AI + rule-based scoring engine. This workflow analyzes incoming leads from Airtable, enriches them with OpenAI-powered qualification, applies deterministic business rules, and instantly alerts your sales team in Slack when a high-intent lead is detected. 🎯 Who’s it for Sales teams that want instant alerts for high-intent leads Founders who need automated qualification without hiring SDRs Marketing teams running paid campaigns and capturing inbound leads RevOps teams building structured, explainable scoring systems If you store leads in Airtable and want AI-assisted qualification with fallback logic (not just blind AI scoring), this template is for you. 🤖 What it does This workflow implements a hybrid lead scoring model: Triggers when a new lead is created in Airtable. Normalizes and standardizes lead data. Sends structured context to OpenAI for qualification. Validates the AI response (strict JSON parsing). Falls back to deterministic scoring if AI fails. Combines AI score (50% weight) + rule-based score. Updates Airtable with: Final score (0–100) Hot/Warm/Cold tag AI reasoning Confidence level Sends Slack alerts: 🔥 Hot leads (score ≥ 80) ⚠️ AI scoring failures (manual review required) Unlike basic AI-only scoring, this workflow guarantees reliability by combining LLM reasoning with business logic. 🔄 How it works Lead intake & guardrail Airtable Trigger watches for new records. A guard condition prevents re-processing already scored leads (processed = true). AI qualification engine A structured prompt sends lead context to OpenAI. A code node vlidates and safely parses the JSON. If invalid - fallback scoring is activated + Slack alert. Deterministic scoring layer Business logic evaluates: Company size Role authority (Founder, Executive, Manager) Industry relevance Intent message length The deterministic score is capped at 50. How deteministic scoring works? Larger companies receive higher baseline scores: 1-10: 5 11-50: 10 51-200: 20 201-500": 25 501-1000": 30 1000+: 35 You can increase or decrease these values depending on your Ideal Customer Profile (ICP). Industry boost Technology/Software: 10 SaaS/Cloud Services: 15 Cybersecurity: 20 IT Services/Consulting: 10 If your product is industry-specific, this is where you fine-tune relevance. Role authority boost Decision-making power increases lead quality: Founder → +20 Executive → +20 Manager → +10 Head → +10 The workflow detects these keywords inside the role field and applies the corresponding boost. Intent boost (message length) Longer intent messages imply higher purchase interest: 100 characters → +15 50 characters → +8 Hybrid scoring formula Final Score = (AI Score × 0.5) + Deterministic Score Tag thresholds: 80–100 → Hot 50–79 → Warm 0–49 → Cold CRM update The workflow updates Airtable with: score ai_score deterministic_score tag ai_reason score_confidence processed = true Sales alert logic If: Tag = Hot Score ≥ 80 → Slack sends an immediate notification to the sales team. 📋 Requirements You’ll need: Airtable account (Base with Leads table) OpenAI API credentials Slack bot credentials n8n (Cloud or Self-hosted) No API keys are hardcoded. All credentials use secure n8n credential storage. 🛠️ How to set up Import the workflow. Connect credentials: Airtable OpenAI Slack Update: Airtable Base ID Table name Slack channel Ensure your Airtable table includes: lead_id (unique) first_name (text) last_name (text) email phone job_role (single select) industry (single select) company_size (single select) intent_message (long text) - score (number) ai_score (number) deterministic_score (number) tag (text) ai_tag (text) score_confidence (text) created_at (created time) processed (checkbox/boolean) Activate the workflow. 🎛️ How to customize This template uses a hybrid scoring model, combining: 🤖 AI qualification score (50% weight) 📊 Deterministic rule-based scoring (fully customizable) All deterministic scoring logic can be modified inside the Hybrid Lead Scoring Engine Code node. That node contains the full business rule logic for: Company size scoring Industry boosts Role authority boosts Intent-based scoring Final score calculation formula You can easily adjust: AI scoring weight (currently 50%) Hot lead threshold (currently 80) Slack notification logic AI prompt instructions (to match your ICP) You can also: Add email notifications Route Warm leads to nurturing workflows Push Hot leads into a CRM like HubSpot or Salesforce ✨ Why this template is different Uses AI with validation and fallback Prevents double-processing Preserves explainability (AI reasoning stored in CRM) Avoids over-reliance on LLM output Production-ready structure with clear separation of logic blocks This is not just AI scoring — it’s a resilient, sales-ready qualification engine.

An automated quote generation system that monitors your inbox, classifies quote requests using AI, calculates intelligent pricing based on historical data, and provides a professional dashboard for review and sending quotes with one click. https://github.com/nickpuru/proposal-generation