Workflow Templates

Website AI Agent with Calendar Integration Categories: AI Agents, Website Integration, Calendar Automation This workflow creates a complete website AI agent that can be embedded on any website with just a few lines of code. The agent handles customer inquiries, provides business information, and automatically books meetings by checking calendar availability in real-time. Built for simplicity and business practicality, this system proves that effective AI agents don't need to be overcomplicated. Benefits Universal Website Integration** - Works with WordPress, Webflow, Squarespace, custom sites, or any platform that accepts HTML Intelligent Calendar Management** - Checks availability and books meetings automatically without double-booking Business-Ready Conversations** - Trained with specific business context and maintains professional, helpful interactions Real-Time Functionality** - All changes to the N8N workflow are immediately reflected on your live website No Technical Complexity** - Simple architecture that prioritizes reliability and consistent outputs over flashy features Customizable Branding** - Easy to modify appearance, messages, and behavior to match your brand How It Works Embedded Chat Interface: Generates embeddable HTML code that creates a chat widget on any website Provides both hosted and embedded modes for different use cases Handles all communication between website visitors and the AI system Intelligent Conversation Management: Uses sophisticated system prompts to maintain context about your business Handles common inquiries about services, pricing, and company information Gracefully redirects off-topic conversations back to business matters Smart Calendar Integration: Connects to Google Calendar to check real-time availability Automatically suggests meeting times based on your schedule Collects all necessary information (name, email, preferred time) before booking Meeting Booking Process: Validates meeting requests against existing calendar entries Confirms all details with users before creating calendar events Sends automatic invitations with proper timezone handling Required Setup Configuration System Message Requirements: Your AI agent needs a comprehensive system message that includes: Business Identity:** Company name, services, location, timezone Business Context:** What you offer, pricing information, key differentiators Conversation Rules:** How to handle inquiries, booking procedures, moderation guidelines Personality Instructions:** Tone of voice, response style, conversation length preferences Example System Message Structure: You are a helpful, intelligent website chatbot for [Company Name], a [business type]. The current date is [dynamic date]. You are in the [timezone] timezone. Business Context: We offer [services] with [key benefits] Our pricing is [pricing structure] We work with [target customers] Your task is answering questions about the business & booking meetings. For meetings: use calendar function to check availability, collect name/email/preferred time, confirm details. Rules: Keep responses short and conversational Stay focused on business topics Always confirm timezone when discussing meeting times Google Calendar Setup: Enable Google Calendar API in Google Cloud Console Create OAuth2 credentials for N8N Connect your business calendar in the Google Calendar nodes Set correct timezone in both nodes to match your business location Website Integration: Switch chat trigger to "embedded" mode Copy the provided CDN embed code Paste code into your website's HTML (before closing body tag) Replace webhook URL with your production URL Business Use Cases Service Businesses** - Automate initial consultations and lead qualification Agencies** - Handle project inquiries and schedule discovery calls Consultants** - Streamline the booking process for potential clients E-commerce** - Provide product support and schedule demos Any Business** - Replace contact forms with intelligent conversation Revenue Potential This system can replace expensive chatbot services that cost $100-500/month. The automated booking feature alone typically increases meeting conversion rates by 40-60% compared to traditional contact forms. Difficulty Level: Beginner Estimated Build Time: 15-20 minutes Monthly Operating Cost: ~$10 (OpenAI API usage) Watch My 13-Minute Build Want to see exactly how I built this from scratch? I walk through the complete setup process in real-time, including all the configuration, testing, and website integration. 🎥 See My Complete Build Process: "How to Build a Website AI Agent in 13 Min (Free N8N Template)" This step-by-step tutorial shows you my exact process for creating business-ready AI agents that actually make money, not just impressive demos. Set Up Steps Basic Agent Configuration: Create new N8N workflow with AI Agent node Connect OpenAI Chat Model with your API credentials Add Window Buffer Memory for conversation context System Message Setup: Configure detailed business context and operating instructions Set timezone and personality parameters for consistent responses Define conversation rules and moderation guidelines Google Calendar Integration: Set up Google Calendar credentials through Google Cloud Console Configure "Get All Events" tool for availability checking Set up "Create Event" tool for automated booking Website Embedding: Switch chat trigger to "embedded" mode for website integration Copy the provided CDN embed code Paste code into your website's HTML with your webhook URL Customization Options: Modify initial messages and branding in the embed code Adjust colors and styling using CSS variables Configure timezone settings to match your business location Testing & Optimization: Test complete conversation flows from inquiry to booking Verify calendar integration works correctly with your timezone Optimize system prompts based on actual user interactions Advanced Features Extend this system with additional capabilities: CRM Integration** - Automatically add leads to your sales pipeline Multi-language Support** - Handle conversations in different languages Custom Business Logic** - Add specific qualification questions or routing Analytics Tracking** - Monitor conversation patterns and conversion rates Check Out My Channel For more practical automation systems that generate real business value, check out my YouTube channel where I share the exact strategies I used to scale my automation agency to $72K/month.

This workflow is designed for freelancers, solopreneurs, and business owners who receive a high volume of irrelevant messages in their Gmail inbox — from cold offers to spammy promotions — and want to automatically filter and delete them using AI. Its main purpose is to scan new emails with the help of OpenAI, classify their content, and automatically delete those considered marketing (OFFER) or junk (SPAM). The result is a cleaner inbox without the need to manually sift through low-value messages. The classification logic uses a detailed system prompt with practical examples, so even complex or borderline messages are categorized accurately. Important emails — such as payment confirmations, shipping updates, or genuine business inquiries — remain untouched. This helps maintain a professional inbox with only valuable and relevant communication. The entire process runs automatically in the background and can be customized further — for example, to archive instead of delete, or log deleted emails for review. How it works When triggered (every hour), the workflow fetches new Gmail messages using the Gmail Trigger node. Each message is passed to an AI classifier powered by OpenAI, which reads the message body (email snippet) and returns one of three labels: SPAM: Obvious junk messages, scams, or low-effort bulk messages OFFER: Cold outreach, discount promotions, cart reminders, or generic advertising IMPORTANT: Valuable information for the user, even if commercial (e.g., invoices, order updates, personal inquiries) The workflow then routes the result through an IF node. If the message is marked as SPAM or OFFER, it is immediately deleted from Gmail via the Gmail Delete node. Emails marked as IMPORTANT are ignored and remain in the inbox. The classification is entirely AI-driven based on message content — sender address, headers, or metadata are not used. How to set up To get started, simply connect two credentials: A Gmail account using OAuth2 (via the Gmail Trigger and Gmail Delete nodes) An OpenAI API key (used by the AI classifier node) No advanced setup is needed beyond these two connections. Optionally, you can review or modify the system prompt used for classification — it’s available inside the workflow’s LangChain AI Agent node. The prompt is in English, so it’s recommended to use this workflow with English-language emails for best results. By default, the workflow deletes matching emails immediately. If you prefer safer testing, you can modify the Gmail node to archive, label, or log emails instead of deleting them. The full workflow takes around 5–10 minutes to configure and includes a sticky note with additional instructions and warnings.

Extract Title tag and meta description from url for SEO analysis. How it works The workflows takes records from Airtable, get the url in the records and extract from the related webpage the title tag (<title>) and meta description (<meta name="description" content="Some content">). If title tag and/or meta description tag isn't available on the webpage, the result will be empty. Setup Set a Base in Airtable with a table with the following structure: url (field type url), title tag (field type text string), meta desc (field type text field) Minimum suggested table structure is: url (https://example.com), title (Title example), meta desc* (This is the meta description of the example page) Connect Airtable to both Airtable nodes in the template and, with the following formula, get all the records that miss title tag and meta desc. Formula: AND(url != "", {title tag} = "", {meta desc} = "") Insert the url to be analyzed in the table in the field url and let the workflow do the rest. Extra You can also calculate the length for title tag and meta desc using formula field inside Airtable. This is the formula: LEN({title tag}) or LEN({meta desc}) You can automate the process calling a Webhook from Airtable. For this, you need an Airtable paid plan.

This workflow restores all n8n instance workflows from GitHub backups using the n8n API node. It complements the Backup Your Workflows to GitHub template by allowing users to seamlessly restore previously saved workflows. How It Works The workflow fetches workflows stored in a GitHub repository and imports them into your n8n instance. Setup Instructions To configure the workflow, update the Globals node with the following values: repo.owner** – Your GitHub username repo.name** – The name of your GitHub repository storing the workflows repo.path** – The folder path within the repository where workflows are stored For example, if your GitHub username is john-doe, your repository is named n8n-backups, and workflows are stored in a workflows/ folder, you would set: repo.owner → john-doe repo.name → n8n-backups repo.path → workflows/ Required Credentials GitHub API** – Access to your repository n8n API** – To import workflows into your n8n instance Who Is This For? This template is ideal for users who want to restore their workflows from GitHub backups, ensuring easy migration and recovery in case of data loss. Check out my other templates: 👉 My n8n Templates

Who is this for? This workflow is designed for SEO specialists, content creators, marketers, and website developers who want to ensure their web content is easily accessible, understandable, and indexable by Large Language Models (LLMs) like ChatGPT, Perplexity, and Google AI Overviews. If you're looking to optimize your site for the evolving AI-driven search landscape, this template is for you. What problem is this workflow solving? / Use case Modern AI tools often crawl websites without executing JavaScript. This can lead to them "seeing" a very different version of your page than a human user or traditional search engine bot might. This workflow helps you: Identify how much of your content is visible without JavaScript. Check for crucial on-page SEO elements that AI relies on (headings, meta descriptions, structured data). Detect if your site presents JavaScript-blocking warnings. Get an AI-generated readability score and actionable recommendations to improve AI-friendliness. What this workflow does Receives a URL via a chat interface. Sanitizes the input URL to ensure it's correctly formatted. Fetches the website's HTML content, simulating a non-JavaScript crawler (like Googlebot). Extracts key HTML features: visible text length, presence of H1/H2/H3 tags, meta description, Open Graph data, structured data (JSON-LD), and <noscript> tags. It also checks for common JavaScript-blocking messages. Performs an AI SEO Analysis using an LLM (via OpenAI) based on the extracted features. Provides a report including an AI Readability Score (0-10), a summary, actionable recommendations, and a reminder to check the robots.txt file for AI bot access. Setup Estimated setup time:** 2-5 minutes. Import this workflow into your n8n instance. Ensure you have an OpenAI account and API key. Configure the "OpenAI Chat Model" node with your OpenAI API credentials. If you don't have credentials set up yet, create new ones in n8n. Activate the workflow. Interact with the chat interface provided by the "When chat message received" trigger node (you can access this via its webhook URL). How to customize this workflow to your needs Change LLM Model:** In the "OpenAI Chat Model" node, you can select a different model that suits your needs or budget. Adjust AI Prompt:** Modify the prompt in the "AI SEO Analysis" node (Chain Llm) to change the focus of the analysis or the format of the report. For example, you could ask for more technical details or a different scoring system. User-Agent:** The "Get HTML from Website" node uses a Googlebot User-Agent. You can change this to simulate other bots if needed. JS Block Indicators:** The "Extract HTML Features" node contains a list of common JavaScript-blocking phrases. You can expand this list with other languages or specific messages relevant to your checks.

This n8n template demonstrates how to create an intelligent food recipe assistant that accepts requests via Gmail and web forms, processes them using AI chat models (Ollama and Llama 3.2), and delivers personalized recipes back to users. The system combines multiple input methods with advanced AI processing to provide customized cooking instructions and ingredient lists. Good to know The system accepts recipe requests through both Gmail and web form submissions AI models understand dietary restrictions, cuisine preferences, and cooking skill levels Recipe responses include formatted ingredients, step-by-step instructions, and cooking tips All requests are processed automatically without manual intervention How it works Gmail Recipe Request Workflow Gmail triggers activate when users send emails with recipe requests to the designated email address The system extracts recipe requirements, dietary preferences, and cooking constraints from email content User queries are processed through the Ollama Recipe Generator for intelligent recipe creation AI-generated recipes are formatted with proper ingredients, instructions, and cooking times Formatted recipes are sent back to users via Gmail with a professional presentation Web Form Recipe Request Workflow Web form submissions trigger when users fill out structured recipe request forms Form data includes cuisine type, dietary restrictions, available ingredients, and cooking time preferences The Llama 3.2 Chef Model processes structured requests for optimized recipe generation Recipes are formatted with clear instructions, ingredient measurements, and cooking techniques Users receive formatted recipes via email with additional cooking tips and variations How to use Import the workflow into your n8n instance and configure Gmail integration for recipe requests Set up the web form with fields for cuisine preferences, dietary restrictions, and cooking skill level Configure Ollama and Llama 3.2 AI models with appropriate recipe generation prompts Test both Gmail and web form inputs with sample recipe requests Customize email templates to match your brand and include additional cooking resources The system scales automatically to handle multiple simultaneous recipe requests Requirements Gmail account for email-based recipe requests and responses Ollama installation with Recipe Generator model Llama 3.2 Chef Model access for advanced recipe processing n8n instance with Gmail and AI model integrations Customising this workflow Recipe automation can be adapted for different cuisines, dietary needs, and cooking skill levels Try popular use-cases such as meal planning assistance, ingredient substitution suggestions, or nutritional information inclusion The workflow can be extended to include recipe image generation, shopping list creation, and cooking video recommendations

This n8n template demonstrates how to create a comprehensive voice-powered restaurant assistant that handles table reservations, food orders, and restaurant information requests through natural language processing. The system uses VAPI for voice interaction and PostgreSQL for data management, making it perfect for restaurants looking to automate customer service with voice AI technology. Good to know Voice processing requires active VAPI subscription with per-minute billing Database operations are handled in real-time with immediate confirmations The system can handle multiple simultaneous voice requests All customer data is stored securely in PostgreSQL with proper indexing How it works Table Booking & Order Handling Workflow Voice requests are captured through VAPI triggers when customers make booking or ordering requests The system processes natural language commands and extracts relevant details (party size, time, food items) Customer data is immediately saved to the bookings and orders tables in PostgreSQL Voice confirmations are sent back through VAPI with booking details and estimated wait times All transactions are logged with timestamps for restaurant management tracking Restaurant Info Provider Workflow Info requests trigger when customers ask about hours, menu, location, or services Restaurant details are retrieved from the restaurant_info table containing current information Wait nodes ensure proper data loading before voice response generation Structured restaurant information is delivered via VAPI in natural, conversational format Database Schema Bookings Table booking_id (PRIMARY KEY) - Unique identifier for each reservation customer_name - Customer's full name phone_number - Contact number for confirmation party_size - Number of guests booking_date - Requested reservation date booking_time - Requested time slot special_requests - Dietary restrictions or special occasions status - Booking status (confirmed, pending, cancelled) created_at - Timestamp of booking creation Orders Table order_id (PRIMARY KEY) - Unique order identifier customer_name - Customer's name phone_number - Contact for order updates order_items - JSON array of food items and quantities total_amount - Calculated order total order_type - Delivery, pickup, or dine-in special_instructions - Cooking preferences or allergies status - Order status (received, preparing, ready, delivered) created_at - Order timestamp Restaurant_Info Table info_id (PRIMARY KEY) - Information entry identifier category - Type of info (hours, menu, location, contact) title - Information title description - Detailed information content is_active - Whether info is currently valid updated_at - Last modification timestamp How to use The manual trigger can be replaced with webhook triggers for integration with existing restaurant systems Import the workflow into your n8n instance and configure VAPI credentials Set up PostgreSQL database with the required tables using the schema provided above Configure restaurant information in the restaurant_info table Test voice commands such as "Book a table for 4 people at 7 PM" or "What are your opening hours?" Customize voice responses in VAPI nodes to match your restaurant's tone and branding The system can handle multiple concurrent voice requests and scales with your restaurant's needs Requirements VAPI account for voice processing and natural language understanding PostgreSQL database for storing booking, order, and restaurant information n8n instance with database and VAPI integrations enabled Customising this workflow Voice AI automation can be adapted for various restaurant types - from quick service to fine dining establishments Try popular use-cases such as multi-location booking management, dietary restriction handling, or integration with existing POS systems The workflow can be extended to include payment processing, SMS notifications, and third-party delivery platform integration

📰 AI News Digest Agent: Auto News Summarizer & Email Newsletter Create an intelligent news curation system that automatically fetches breaking headlines, generates AI-powered summaries, and delivers personalized news digests to your subscriber list. Perfect for newsletter creators, team leaders, and content curators who want to keep their audience informed without the manual effort of news monitoring and summarization. 🔄 How It Works This streamlined 5-step automation delivers fresh news insights around the clock: Step 1: Automated News Collection The workflow runs on a configurable schedule (default: every 10 minutes) to fetch the latest headlines from NewsAPI, ensuring your content stays current with breaking developments. Step 2: Intelligent Content Curation The system pulls top headlines from reliable news sources, filtering by country, category, and relevance to deliver the most important stories of the day. Step 3: AI-Powered Summarization GPT-4 processes the collected headlines and creates: Concise 5-bullet point summaries Key insights and implications Easy-to-digest news overviews Professional formatting for email distribution Step 4: Subscriber Management The workflow accesses your Google Sheets subscriber list, retrieving names and email addresses for personalized delivery. Step 5: Automated Email Distribution Personalized news digests are automatically sent to each subscriber via Gmail, with custom greetings and professionally formatted content. ⚙️ Setup Steps Prerequisites NewsAPI account (free tier available) OpenAI API access for content summarization Google Sheets for subscriber management Gmail account for email distribution n8n instance (cloud or self-hosted) Required Google Sheets Structure Create a simple subscriber database: | Name | Email | |---------------|--------------------------| | John Smith | john@example.com | | Sarah Johnson | sarah@company.com | | Mike Chen | mike.chen@startup.co | Configuration Steps Credential Setup NewsAPI Key: Sign up at newsapi.org for free headline access OpenAI API Key: Required for AI-powered news summarization Google Sheets OAuth2: Access your subscriber spreadsheet Gmail OAuth2: Enable automated email sending News Source Configuration Country Selection: Choose target region (US, UK, CA, AU, etc.) Category Filters: Focus on specific topics (technology, business, health) Source Selection: Prefer certain news outlets or avoid others Language Settings: Configure for international audiences AI Summarization Customization Default prompt creates 5-bullet summaries, but can be tailored for: Industry Focus: Technology, finance, healthcare, politics Audience Type: General public, professionals, executives Content Depth: Brief overviews vs detailed analysis Tone & Style: Formal, conversational, or technical Email Template Personalization Subject Line Formatting: Include date, breaking news indicators Greeting Customization: Use subscriber names for personal touch Content Layout: Professional formatting with clear sections Branding Elements: Add your organization's signature or logo Delivery Schedule Optimization Frequency Settings: Every 10 minutes, hourly, or daily Time Zone Considerations: Optimize for subscriber locations Breaking News Alerts: Immediate delivery for urgent stories Digest Compilation: Collect multiple stories for periodic summaries 🚀 Use Cases Newsletter Publishers Content Automation: Generate newsletter content without manual curation Consistent Publishing: Maintain regular delivery schedules automatically Audience Growth: Provide value that encourages subscriptions and shares Time Savings: Eliminate hours of daily news monitoring and writing Corporate Communications Employee Updates: Keep teams informed about industry developments Executive Briefings: Deliver curated news summaries to leadership Client Communications: Share relevant industry insights with customers Stakeholder Relations: Maintain informed investor and partner networks Educational Institutions Student Resources: Provide current events for academic discussions Faculty Updates: Keep educators informed about relevant developments Research Support: Deliver news related to specific academic fields Parent Communications: Share educational policy and school-related news Professional Services Client Value Addition: Provide industry-specific news as a service benefit Thought Leadership: Position your firm as an informed industry expert Business Development: Share insights that demonstrate market knowledge Team Knowledge Sharing: Keep entire organization current on industry trends Community Organizations Member Engagement: Keep community members informed and engaged Local News Focus: Customize for regional or local news coverage Event Planning: Stay informed about developments affecting your community Advocacy Support: Monitor news relevant to your organization's mission 🔧 Advanced Customization Options Multi-Source News Aggregation Expand beyond NewsAPI with additional sources: RSS Feed Integration: Add specialized industry publications Social Media Monitoring: Include trending topics from Twitter/LinkedIn Government Sources: Official announcements and policy updates International Coverage: Global perspectives on major stories Intelligent Content Filtering Implement smart curation features: Sentiment Analysis: Filter positive, negative, or neutral news Relevance Scoring: Prioritize stories based on subscriber interests Duplicate Detection: Avoid sending repetitive story coverage Quality Assessment: Ensure content meets editorial standards Subscriber Segmentation Create targeted news experiences: Interest Categories: Technology, business, sports, entertainment Geographic Preferences: Local, national, or international focus Delivery Preferences: Frequency and format customization Engagement Tracking: Monitor opens, clicks, and subscriber behavior Enhanced Email Features Professional newsletter capabilities: HTML Templates: Rich formatting with images and links Call-to-Action Buttons: Drive engagement with your content or services Social Sharing: Enable easy sharing of newsletter content Analytics Integration: Track email performance and subscriber engagement 📊 Content Generation Examples Sample Email Output: Subject: 📰 Your Daily News Digest - March 15, 2024 Hi John, Please find today's top news headlines summarized below: 📈 BUSINESS & TECHNOLOGY Federal Reserve signals potential rate cuts following inflation data Major tech companies announce AI partnership for healthcare applications Renewable energy sector sees record investment levels in Q1 2024 Cryptocurrency markets stabilize after regulatory clarity announcement Supply chain disruptions ease as global shipping routes normalize 💡 These developments suggest growing economic optimism and continued technology sector innovation. The healthcare AI partnership particularly signals significant advances in medical technology accessibility. Stay informed and have a great day! Powered by AI News Digest Agent Unsubscribe | Update Preferences Breaking News Alert Format: Subject: 🚨 Breaking News Alert - Major Development Hi Sarah, BREAKING: [Headline] Key Details: [Critical point 1] [Critical point 2] [Impact analysis] Full coverage in your next scheduled digest. AI News Digest Agent 🛠️ Troubleshooting & Best Practices Common Issues & Solutions API Rate Limiting Monitor NewsAPI quota usage and upgrade plan if needed Implement intelligent caching to reduce redundant requests Stagger requests during high-traffic periods Set up alerts for approaching rate limits Email Delivery Challenges Monitor Gmail sending limits and implement delays if needed Use professional email authentication (SPF, DKIM) Maintain clean subscriber lists to avoid spam flags Implement unsubscribe functionality for compliance Content Quality Control Review AI summaries periodically for accuracy and bias Implement feedback loops for continuous prompt improvement Create editorial guidelines for consistent tone and style Monitor subscriber feedback and engagement metrics Optimization Strategies Performance Enhancement Use parallel processing for multiple news sources Implement intelligent caching for repeated content Optimize AI prompts for faster processing and better results Monitor workflow execution time and resource usage Subscriber Growth Create compelling value propositions for newsletter signups Implement referral systems for organic growth Share sample newsletters on social media and websites Collect feedback to continuously improve content quality Content Strategy A/B test different summary formats and lengths Analyze which news categories generate most engagement Experiment with sending times for optimal open rates Create themed newsletters for special events or topics 📈 Success Metrics Engagement Indicators Open Rates: Percentage of subscribers reading newsletters Click-Through Rates: Engagement with linked news sources Subscriber Growth: New signups and retention rates Forward/Share Rates: Viral coefficient of your content Content Quality Measurements Relevance Scores: Subscriber feedback on content usefulness Timeliness: How quickly breaking news reaches subscribers Accuracy: Verification of AI-summarized content Completeness: Coverage of important stories in your focus areas 📞 Questions & Support Need assistance with your AI News Digest Agent setup or optimization? 📧 Technical Support Email: Yaron@nofluff.online Response Time: Within 24 hours on business days Specialization: NewsAPI integration, AI content optimization, email deliverability 🎥 Educational Resources YouTube Channel: https://www.youtube.com/@YaronBeen/videos Complete setup and configuration tutorials Advanced customization techniques for different industries Email marketing best practices for automated newsletters Troubleshooting common integration issues Scaling strategies for growing subscriber lists 🤝 Professional Community LinkedIn: https://www.linkedin.com/in/yaronbeen/ Connect for ongoing newsletter automation support Share your news curation success stories Access exclusive templates and workflow variations Join discussions about content automation trends 💬 Support Request Best Practices Include in your support message: Your target audience and newsletter focus Current subscriber count and growth goals Specific news categories or geographic regions of interest Any technical errors or integration challenges Current content creation workflow and pain points

Supercharge Your Security Operations for Free Stop wasting time manually investigating suspicious IP addresses. This workflow template is your launchpad to automating real-time IP cybersecurity analysis using the NixGuard platform, which you can use for free. This is the first of a two-part system designed to integrate seamlessly into your existing security stack, especially with Wazuh. It calls our main workflow, Automate IP Reputation Checks and Get AI Risk Summaries from NixGuard, to do the heavy lifting. What This Workflow Unlocks for You Free AI-Powered Risk Summaries:** Don't just get data; get answers. NixGuard provides a clear, human-readable summary of why an IP is considered risky. Automated IP Reputation Checks:** Programmatically check any IP against a vast array of threat intelligence sources. A Foundation for Your SOC Automation:** Use the results to trigger your incident response process. The template includes a pre-built example of how to send a detailed alert to Slack, which you can easily adapt for Jira, TheHive, or any other tool. How the Two-Workflow System Works This "Dispatcher" workflow is designed for flexibility. It holds your API key and input, then calls the main analysis workflow. This allows you to easily create multiple triggers (e.g., one for Slack bots, one for webhooks) without duplicating the core logic. Critical Setup Instructions Get the Main Workflow: First, add the main analysis engine to your n8n instance from the community page: NixGuard Analysis Workflow. Add Your Free API Key: In this workflow, click the blue Set API Key & Initial Prompt node. Paste your free NixGuard API key into the apiKey value field. Connect The Workflows: Click the purple Execute NixGuard & Wazuh Workflow node. In the parameters, use the dropdown to select the main analysis workflow you added in Step 1. Ready to automate your threat intelligence? Get your free API key and learn more at; 🔗 Learn more about NixGuard: [thenex.world](thenex.world )🔗 Get started with a free security subscription: thenex.world/security/subscribe Tags: Free, IP Analysis, NixGuard, Wazuh, Security, Automation, AI, Cybersecurity, Threat Intelligence, SOC, Incident Response, IP Reputation, DevSecOps, API

Who is this for? Professionals and individuals who receive high volumes of emails, those who want to automatically organize their Gmail inbox using AI classification. What problem is this workflow solving? Manual email sorting is time-consuming and inconsistent. This workflow automatically categorizes incoming emails into 8 predefined labels (To respond, FYI, Comment, Notification, Meeting update, Awaiting reply, Actioned, Marketing) to help maintain inbox zero and prioritize responses. What this workflow does Monitors Gmail for new incoming emails Uses AI to analyze email content and classify into appropriate categories Automatically applies the corresponding Gmail label Runs on a schedule to process emails consistently Setup Prerequisites n8n instance (cloud or self-hosted) Gmail account with API access enabled Access to an LLM provider (OpenAI, Anthropic Claude, or similar) Step-by-Step Configure Gmail Credentials Create Gmail Labels Configure LLM Chain Set Email Polling Schedule Test the Workflow Create Gmail Labels Before running the workflow, create these 8 labels in your Gmail account: To respond FYI Comment Notification Meeting update Awaiting reply Actioned Marketing How to customize this workflow to your needs Modify Classification Categories To change the email categories, update two places: In the AI prompt (Basic LLM Chain node): Your new category - Description of what emails fit here Another category - Description [... continue with your categories] In Gmail labels: Create corresponding labels in your Gmail account with the exact same names and numbering. Adjust Classification Rules The AI prompt contains specific rules for each category. To modify: Edit the "Key classification rules" section in the LLM prompt Add examples of emails that should go into each category Specify edge cases and how they should be handled Change Email Sources Currently monitors all incoming emails. To filter specific emails: In the Gmail Trigger node, add filters such as: from:specific-sender@domain.com subject:contains-keyword -label:already-processed You can also change this use Outlook Modify Polling Frequency More frequent**: Add multiple poll times (e.g., 9 AM, 12 PM, 6 PM) Less frequent**: Change to once daily or weekly Real-time**: Switch to webhook-based triggering (requires Gmail API setup) I choose daily for cost.

⚡ AI Copywriter Pro: Instant Ad Copy & CTA Generator Transform product details into compelling marketing copy in seconds. This intelligent n8n workflow takes basic product information and generates professional ad copy with powerful calls-to-action using GPT-4, then distributes the results to your team via Slack or stores them in Airtable for future use. 🚀 How It Works This streamlined 4-step automation delivers professional marketing copy instantly: Step 1: Simple Form Input Users submit basic product information through a clean web form - just product name and key features required. Step 2: AI-Powered Generation The workflow sends product details to GPT-4 with a specialized copywriting prompt that creates: Compelling 2-sentence ad copy optimized for conversions 3 powerful call-to-action phrases with different urgency levels Professional tone tailored for marketing campaigns Step 3: Structured Processing The AI response is automatically parsed into clean, labeled fields ready for immediate use across marketing channels. Step 4: Multi-Channel Distribution Generated content is simultaneously: Posted to your designated Slack channel for team review Logged in Airtable for campaign tracking and reuse ⚙️ Setup Steps Prerequisites Active OpenAI API account with GPT-4 access Slack workspace with admin permissions Airtable account for content storage n8n instance (cloud or self-hosted) Configuration Steps 1. Credential Setup OpenAI API Key**: Required for GPT-4 content generation Slack OAuth2**: Needed for posting messages to channels Airtable Personal Access Token**: Essential for database operations 2. Form Configuration The workflow automatically generates a web form at: your-n8n-instance.com/form/[webhook-id] Form fields are pre-configured for: Product Name (text input) Product Features (textarea for detailed descriptions) Form can be embedded on websites or shared as standalone link 3. Slack Integration Setup Connect your Slack workspace to n8n Create or select target channel for ad copy notifications Update the channelId parameter with your channel's ID Test connection with sample message 4. Airtable Database Preparation Create new base or use existing one Set up table with columns: Product Name (Single line text) Product Features (Long text) Ad Copy (Long text) CTAs (Long text) Copy base and table IDs from Airtable URLs Update workflow parameters accordingly 5. AI Prompt Customization The default prompt generates versatile marketing copy, but you can customize for: Industry-specific terminology Brand voice and tone Target audience demographics Campaign objectives (awareness, conversion, retention) 🎯 Use Cases E-commerce & Retail Product Launch Campaigns**: Generate copy for new product announcements Seasonal Promotions**: Create urgency-driven messaging for sales events Category Pages**: Develop compelling descriptions for product collections Social Media Ads**: Produce scroll-stopping copy for Facebook and Instagram SaaS & Technology Feature Announcements**: Craft clear, benefit-focused messaging Free Trial Campaigns**: Generate conversion-optimized trial signup copy Case Study Promotions**: Create compelling success story headlines Webinar Marketing**: Develop registration-driving event descriptions Agency & Freelance Client Presentations**: Rapidly prototype copy concepts for pitches A/B Testing**: Generate multiple copy variations for campaign testing Campaign Brainstorming**: Kickstart creative sessions with AI-generated ideas Content Calendar Filling**: Populate social media schedules efficiently Startup & Small Business MVP Marketing**: Create professional copy without hiring agencies Investor Pitches**: Generate compelling product descriptions Website Content**: Populate landing pages with conversion-focused copy Email Campaigns**: Develop subject lines and promotional content Content Marketing Blog Post Promotions**: Generate social media copy for article shares Newsletter CTAs**: Create compelling subscription and engagement prompts Video Descriptions**: Develop YouTube and social video copy Podcast Promotions**: Generate episode descriptions and listener CTAs 🔧 Advanced Customization Options Multi-Tone Generation Modify the prompt to generate different copy styles: Professional & Corporate: "Generate formal, trust-building copy..." Casual & Friendly: "Create conversational, approachable messaging..." Urgent & Scarcity: "Develop time-sensitive, action-driving copy..." Luxury & Premium: "Craft sophisticated, high-end positioning..." Batch Processing Enhancement Add nodes for processing multiple products: Split in Batches**: Handle bulk product lists Merge**: Combine results for team review Item Lists**: Process CSV uploads of product catalogs Quality Control Integration Implement approval workflows: Human Review Step**: Add manual approval before publishing Sentiment Analysis**: Score copy for emotional impact Brand Guidelines Check**: Validate against company voice standards A/B Test Setup**: Generate multiple variations automatically Extended Distribution Connect additional platforms: Email Marketing**: Send to Mailchimp, ConvertKit, or HubSpot Social Media**: Post directly to Facebook, Twitter, LinkedIn CMS Integration**: Push to WordPress, Webflow, or custom sites Project Management**: Create tasks in Asana, Trello, or Monday.com 📊 Output Examples Sample Input: Product Name: EcoSmart Water Bottle Product Features: Self-cleaning UV technology, 24-hour temperature retention, BPA-free stainless steel, leak-proof design, 500ml capacity Generated Ad Copy: Stay hydrated and eco-conscious with the EcoSmart Water Bottle—featuring revolutionary self-cleaning UV technology that eliminates 99.9% of bacteria while keeping your drinks perfectly chilled for 24 hours! Experience the future of hydration with premium stainless steel construction that's as durable as it is sustainable. CTAs: • Order Your EcoSmart Bottle Today • Join the Clean Hydration Revolution • Get 24-Hour Freshness Now Slack Notification Format: 🎯 NEW AD COPY GENERATED Product: EcoSmart Water Bottle 📝 Ad Copy: Stay hydrated and eco-conscious with the EcoSmart Water Bottle—featuring revolutionary self-cleaning UV technology that eliminates 99.9% of bacteria while keeping your drinks perfectly chilled for 24 hours! Experience the future of hydration with premium stainless steel construction that's as durable as it is sustainable. 🔥 Call-to-Actions: • Order Your EcoSmart Bottle Today • Join the Clean Hydration Revolution • Get 24-Hour Freshness Now Ready to use in campaigns! 🚀 🛠️ Troubleshooting & Best Practices Common Issues & Solutions API Rate Limits Monitor OpenAI usage dashboard Implement delay nodes for high-volume processing Consider upgrading to higher tier plans Inconsistent Output Quality Refine prompts with specific examples Add output validation rules Include brand guidelines in system prompt Integration Failures Verify all API credentials are current Test connections individually before full workflow Check service status pages for outages Optimization Strategies Cost Management Use GPT-4o-mini for routine copy generation Reserve GPT-4 for premium campaigns Cache common responses to reduce API calls Quality Enhancement A/B test different prompt variations Collect team feedback on generated copy Maintain library of high-performing examples Workflow Efficiency Set up monitoring alerts for failures Create backup workflows for critical campaigns Document customizations for team reference 📈 Performance Tracking Key Metrics to Monitor Generation Speed**: Average time from input to output Approval Rate**: Percentage of AI copy used without edits Campaign Performance**: Click-through rates of AI-generated content Cost Per Copy**: API costs per generated piece Success Indicators Reduced copywriting turnaround time (target: under 30 seconds) Increased campaign launch frequency Higher team satisfaction with copy quality Measurable improvement in conversion rates 📞 Questions & Support Need help setting up or customizing your AI Copywriter Pro workflow? 📧 Direct Support Email**: Yaron@nofluff.online Response Time**: Within 24 hours on business days Specialties**: Custom prompt engineering, integration troubleshooting, workflow optimization 🎥 Video Tutorials YouTube Channel**: https://www.youtube.com/@YaronBeen/videos Complete setup walkthrough Advanced customization techniques Integration with popular marketing tools Prompt engineering masterclass 🤝 Professional Network LinkedIn**: https://www.linkedin.com/in/yaronbeen/ Connect for ongoing automation support Share your copywriting success stories Get early access to new workflow templates 💬 What to Include in Support Requests Your specific industry or use case Current marketing tools and platforms Sample products you want to test with Any custom requirements or brand guidelines Screenshots of any errors or unexpected outputs Ready to revolutionize your copywriting process? Deploy this workflow and watch your marketing team's productivity soar while maintaining professional, conversion-focused messaging!

This workflow template demonstrates how to create an AI-powered agent that provides users with current weather information and Wikipedia summaries. By integrating n8n with Ollama's local Large Language Models (LLMs), this template offers a seamless and privacy-conscious solution for real-time data retrieval and summarization. Who is this for? Developers and Enthusiasts: Individuals interested in building AI-driven workflows without relying on external APIs. Privacy-Conscious Users: Those who prefer processing data locally to maintain control over their information. Educators and Students: Learners seeking hands-on experience with AI integrations and workflow automation. What problem does this workflow solve? Accessing up-to-date weather information and concise Wikipedia summaries typically requires multiple API calls to external services, which can raise privacy concerns and incur costs. This workflow addresses these issues by utilizing Ollama's self-hosted LLMs within n8n, enabling users to retrieve and process information locally. What this workflow does: User Input Capture: Begins with a chat interface where users can input queries. AI Processing: The input is sent to an AI Agent node configured with Ollama's LLMs, which interprets the query and determines the required actions. Weather Retrieval: For weather-related queries, the workflow fetches current weather data from a specified source. Wikipedia Summarization: For queries seeking information, it retrieves relevant Wikipedia content and generates concise summaries. Setup: Install Required Tools: Ollama: Install and run Ollama to manage local LLMs. Configure n8n Workflow: Import the provided workflow template into your n8n instance. Set up the AI Agent node to connect with Ollama's API. Ensure nodes responsible for fetching weather data and Wikipedia content are correctly configured. Run the Workflow: Start the workflow and interact with the chat interface to test various queries. How to customize this workflow to your needs: Automate Triggers: Set up scheduled triggers to provide users with regular updates, such as daily weather forecasts or featured Wikipedia articles.