End-to-End Blog Generation for WordPress with Featured Image - GPT-5 Optimized
π§ Automate end-to-end SEO blog creation and WordPress publishing using a GPT-5 multi-agent workflow with real-time research, metadata generation, and optional featured images. π§ AI-Powered SEO Blog Automation for WordPress β n8n + GPT-5 Category: WordPress . Content Creation Β· Marketing Automation Β· AI Agents Β· Publishing Use Case: End-to-End SEO Blog Generation & Publishing This production-ready n8n workflow automates the entire blog content lifecycle β from keyword input to WordPress draft publishing β using a multi-agent GPT-5 orchestration architecture. Designed for content teams, SEO professionals, agencies, and founders, the workflow transforms structured inputs into fact-checked, SEO-optimized, publication-ready blog posts with metadata, tags, excerpts, and optional featured images. Simply copy, paste, and configure β no custom coding required. --- π What This Workflow Does This workflow automates content creation at scale by coordinating specialized AI agents that each handle a single responsibility in a strict execution order. It supports both manual content requests and scheduled batch publishing, making it suitable for editorial pipelines, programmatic SEO, and marketing automation. --- β¨ Key Features & Capabilities π§ AI Content Creation (GPT-5 Optimized) Multi-agent content pipeline with clearly defined roles SEO-driven outline and section planning Expert-level long-form writing Inline citations and verified sources Final editorial HTML polishing π Real-Time Web Research Live Q&A and fact retrieval (OpenRouter / Perplexity Sonar) Context-aware, up-to-date information Reduced hallucinations and outdated content π SEO & Publishing Automation SEO-optimized titles, slugs, excerpts, and meta descriptions Automatic WordPress category selection Dynamic tag creation and updates Draft publishing via WordPress REST API πΌοΈ Optional Featured Image Pipeline AI-generated realistic cover image prompts Alt-text generation for accessibility and SEO Image upload, resizing, and WordPress attachment π Workflow Tracking Google Sheets integration for batch automation Automatic status update (created = yes) Suitable for editorial calendars and content tracking --- π Supported Triggers 1οΈβ£ Form Trigger (Manual Publishing) Collects: Keywords Target word count Number of sections Writing style Website URL Website context Featured image toggle 2οΈβ£ Google Sheets + Schedule Trigger (Batch Publishing) Automatically processes rows containing: Keywords Word count Sections count Writing style Website Website context Featured image toggle created status flag (auto-updated after publishing) --- π§ AI Agent Orchestration (GPT-5) A central Orchestration Agent coordinates specialized sub-agents: GetOnlineInfo β Live research and Q&A OutlinePlanner β SEO-structured table of contents createSections β Detailed section definitions SectionsWriter β Expert-level content drafting Editor β Final HTML refinement and compliance checks MetaInfo β Title, slug, excerpt, and category selection Tags Agent β SEO-friendly WordPress tag creation and updates ImagePrompt β Cover image prompt and alt text (optional) Each agent executes once, deterministically, ensuring consistent and predictable output quality. --- βοΈ End-to-End Writing Flow Input parsing (Form or Google Sheets) Real-time data retrieval SEO-optimized outline generation Section-by-section expert writing Editorial refinement into valid HTML Metadata and excerpt generation Tag creation and update in WordPress Optional image generation and upload Draft post publishing to WordPress Google Sheets row update (created = yes) --- π¦ Output Structure (Validated JSON) json { "toc": "Table of Contents", "post_html": "<final HTML content>", "meta_data": { "title": "...", "slug": "...", "excerpt": "...", "category_id": 0 }, "image_data": { "image_prompt": "...", "alt_text": "..." }, "tags": [ { "name": "...", "description": "..." } ], "ready": true } --- π WordPress Integration REST API endpoints: /wp-json/wp/v2/posts /wp-json/wp/v2/media /wp-json/wp/v2/tags Draft publishing with author and category assignment Automatic excerpt and tag updates Featured image handling (optional) --- 𧩠Setup Requirements π Required Credentials WordPress API credentials OpenAI API key OpenRouter API key (optional) Google Sheets API credentials (optional) π§ Required Sub-Workflows OutlinePlanner createSections SectionsWriter Editor MetaInfo Tags Agent ImagePrompt (optional) --- π‘ Why Use This Workflow? Purpose-built for WordPress Automation and Content Creation Eliminates manual writing, formatting, and publishing steps Scales from single posts to batch content pipelines Modular design for easy testing and customization Suitable for SEO blogs, SaaS content, affiliate sites, and agencies --- π Production-Ready Copy-paste deployable Validated HTML, JSON, tags, and excerpts Modular and debuggable architecture Optimized for GPT-5 quality, consistency, and reliability
By Mohamed AbdelwahabSmart IoT device health monitor with ScrapeGraphAI and Telegram
Smart IoT Device Health Monitor with AI-Powered Dashboard Analysis and Real-Time Alerting π― Target Audience IT operations and infrastructure teams IoT system administrators and engineers Facility and building management teams Manufacturing and industrial operations managers Smart city and public infrastructure coordinators Healthcare technology administrators Energy and utilities monitoring teams Fleet and asset management professionals Security and surveillance system operators Property and facility maintenance teams π Problem Statement Monitoring hundreds of IoT devices across multiple dashboards is overwhelming and reactive, often leading to costly downtime, missed maintenance windows, and system failures. This template solves the challenge of proactive IoT device monitoring by automatically analyzing device health metrics, detecting issues before they become critical, and delivering intelligent alerts that help teams maintain optimal system performance. π§ How it Works This workflow automatically monitors your IoT dashboard every 30 minutes using AI-powered data extraction, analyzes device health patterns, calculates system-wide health scores, and sends intelligent alerts only when intervention is needed, preventing alert fatigue while ensuring critical issues are never missed. Key Components Schedule Trigger - Runs every 30 minutes for continuous device monitoring AI Dashboard Scraper - Uses ScrapeGraphAI to extract device data from any IoT dashboard without APIs Health Analyzer - Calculates system health scores and identifies problematic devices Smart Alert System - Sends notifications only when health drops below thresholds Telegram Notifications - Delivers formatted alerts with device details and recommendations Activity Logger - Maintains historical records for trend analysis and reporting π Device Health Analysis Specifications The template monitors and analyzes the following device metrics: | Metric Category | Monitored Parameters | Analysis Method | Alert Triggers | Example Output | |-----------------|---------------------|-----------------|----------------|----------------| | Device Status | Online/Offline/Error | Real-time status check | Any offline devices | "Device-A01 is offline" | | Battery Health | Battery percentage | Low battery detection | Below 20% charge | "Sensor-B03 low battery: 15%" | | Temperature | Device temperature | Overheating detection | Above 70Β°C | "Gateway-C02 overheating: 75Β°C" | | System Health | Overall health score | Online device ratio | Below 80% health | "System health: 65%" | | Connectivity | Network status | Connection monitoring | Loss of communication | "3 devices offline" | | Performance | Response metrics | Trend analysis | Degraded performance | "Response time increasing" | π οΈ Setup Instructions Estimated setup time: 15-20 minutes Prerequisites n8n instance with community nodes enabled ScrapeGraphAI API account and credentials Telegram bot token and chat ID Access to your IoT dashboard URL Basic understanding of your device naming conventions Step-by-Step Configuration Install Community Nodes bash Install required community nodes npm install n8n-nodes-scrapegraphai Configure ScrapeGraphAI Credentials Navigate to Credentials in your n8n instance Add new ScrapeGraphAI API credentials Enter your API key from ScrapeGraphAI dashboard Test the connection to ensure it's working Set up Schedule Trigger Configure the monitoring frequency (default: every 30 minutes) Adjust timing based on your operational needs: Every 15 minutes: /15 * Every hour: 0 Every 5 minutes: /5 * Configure Dashboard URL Update the "Get Data" node with your IoT dashboard URL Customize the AI prompt to match your dashboard structure Test data extraction to ensure proper JSON formatting Adjust device field mappings as needed Set up Telegram Notifications Create a Telegram bot using @BotFather Get your chat ID from @userinfobot Configure Telegram credentials in n8n Test message delivery to ensure alerts work Customize Health Thresholds Adjust health score threshold (default: 80%) Set battery alert level (default: 20%) Configure temperature warning (default: 70Β°C) Customize alert conditions based on your requirements Test and Validate Run the workflow manually with your dashboard Verify device data extraction accuracy Test alert conditions and message formatting Confirm logging functionality works correctly π Workflow Customization Options Modify Monitoring Frequency Adjust schedule for different device criticality levels Add business hours vs. off-hours monitoring Implement variable frequency based on system health Add manual trigger for on-demand monitoring Extend Device Analysis Add more device metrics (memory, CPU, network bandwidth) Implement predictive maintenance algorithms Include environmental sensors (humidity, air quality) Add device lifecycle and warranty tracking Customize Alert Logic Implement escalation rules for critical alerts Add alert suppression during maintenance windows Create different alert channels for different severity levels Include automated ticket creation for persistent issues Output Customization Add integration with monitoring platforms (Grafana, Datadog) Implement email notifications for management reports Create executive dashboards with health trends Add integration with maintenance management systems π Use Cases Industrial IoT Monitoring: Track manufacturing equipment and sensors Smart Building Management: Monitor HVAC, lighting, and security systems Fleet Management: Track vehicle telematics and diagnostic systems Healthcare Device Monitoring: Ensure medical device uptime and performance Smart City Infrastructure: Monitor traffic lights, environmental sensors, and public systems Energy Grid Monitoring: Track smart meters and distribution equipment π¨ Important Notes Respect your dashboard's terms of service and rate limits Implement appropriate delays between requests to avoid overloading systems Regularly review and update device thresholds based on operational experience Monitor ScrapeGraphAI API usage to manage costs effectively Keep your credentials secure and rotate them regularly Ensure alert recipients are available to respond to critical notifications Consider implementing backup monitoring systems for critical infrastructure Maintain device inventories and update monitoring parameters as systems evolve π§ Troubleshooting Common Issues: ScrapeGraphAI connection errors: Verify API key and account status Dashboard access issues: Check URL accessibility and authentication requirements Data extraction failures: Review AI prompt and dashboard structure changes Missing device data: Verify device naming conventions and field mappings Alert delivery failures: Check Telegram bot configuration and chat permissions False alerts: Adjust health thresholds and alert logic conditions Support Resources: ScrapeGraphAI documentation and API reference n8n community forums for workflow assistance Telegram Bot API documentation IoT platform-specific monitoring best practices Device manufacturer monitoring guidelines Industrial IoT monitoring standards and frameworks
By vinci-king-01Automate employee birthdays & work anniversaries with Google Gemini and Slack
Replace BillyBot: Free Slack Employee Birthday & Anniversary Automation Who's it for HR teams, team leaders, and operations managers looking to automate employee celebrations without expensive third-party tools like BillyBot. Perfect for startups to enterprise teams wanting to save $600-2,400+ annually while maintaining personalized, engaging employee recognition. What it does This workflow automatically monitors your employee database daily and posts AI-generated, unique celebration messages to Slack for birthdays and work anniversaries. Unlike generic bots, it creates personalized messages that never repeat, rotating through 12 different styles and tones to keep celebrations fresh and authentic. How it works Daily Check: Runs every morning at 9 AM to scan your employee Google Sheet Smart Filtering: Matches today's date against employee birthdays and joining dates Data Aggregation: Collects all celebrating employees into a single payload AI Generation: Google Gemini creates unique, heartfelt messages with proper Slack formatting Auto-Post: Sends personalized celebrations directly to your chosen Slack channel The AI ensures no two messages feel templated, calculating years of service for anniversaries and adapting tone based on tenure length. Requirements Google Sheets with employee data (columns: NO, Name, Email, Date of Birth, Joining Date in YYYY-MM-DD format) Slack workspace with bot permissions to post messages Google Gemini API key (free tier included) n8n Cloud ($20/month) or self-hosted n8n (free) Cost comparison: Save $600-2,400+ per year BillyBot pricing: $1 per employee/month 50 employees = $600/year 100 employees = $1,200/year 200 employees = $2,400/year This solution: $0-20/month (unlimited employees) Google Gemini API: FREE Google Sheets API: FREE Slack API: FREE n8n: $20/month (Cloud) or $0 (self-hosted) Your savings: 95-100% cost reduction regardless of team size. Setup instructions Create Google Sheet: Add columns: NO, Name, Email, Date of Birth, Joining Date (ensure dates are YYYY-MM-DD format) Connect Google Sheets: Authenticate your Google account in the "Get row(s) in sheet" node Set up Slack: Create a Slack bot with chat:write permission and add to your celebration channel Configure Gemini: Add your Google Gemini API key to the "Google Gemini Chat Model" node Adjust Schedule: Change trigger time in "Schedule Trigger" node (default: 9 AM daily) Select Channel: Update Slack channel in "Send a message" node to your desired celebration channel Test: Run workflow manually to verify messages post correctly Customization options Change celebration time: Modify the Schedule Trigger to any hour (e.g., 8 AM for morning celebrations) Adjust message tone: Edit the AI Agent system prompt to match your company culture (formal, casual, playful) Multi-channel posting: Duplicate the Slack node to post to multiple channels (e.g., company-wide + team-specific) Add upcoming reminders: Modify the IF node to check for celebrations within 7 days Include photos: Extend the workflow to pull employee photos from your HR system Custom emoji styles: Update the AI prompt to use your organization's custom Slack emojis Key features 12 rotating message styles prevent repetition Automatic tenure calculation for work anniversaries Culturally inclusive and professional tone Mobile-optimized message length (1-3 lines) Slack markdown formatting for visual appeal Scales infinitely without additional cost --- Note: Ensure your Google Sheet date formats are consistent (YYYY-MM-DD) for accurate date matching. The workflow processes dates in MM-DD format to match across years automatically.
By Roshan Ramani