Workflow Templates

What it does Submit a LinkedIn profile URL through a form. The workflow finds their email and company info using Wiza, then researches the prospect and their company with Perplexity AI to uncover recent news, growth signals, and pain points. Your choice of AI model uses that research to write a personalized icebreaker email with a relevant hook. The finished draft shows up in your Gmail inbox, ready to review and send. Who's it for Sales teams, recruiters, and marketers scaling personalized outreach without manual research. Requirements n8n (self-hosted or cloud) Wiza API Key OpenAI API Key Perplexity API Key Gmail OAuth2 credentials How to set up Import workflow JSON into n8n Configure Wiza, OpenAI, Perplexity, and Gmail credentials Create Leads and Case Studies data tables in n8n Update business context in the "Your Offer" node Activate workflow and use the form URL How to customize Modify email templates in the "Ice Breaker Email Generator" prompt Update business profile and case studies for relevance Adjust AI model settings for tone and creativity

Description Automates monitoring of error logs and notifies developers of critical errors. Sends Slack alerts for critical and non-critical errors, with auto-creation of Jira tickets for critical issues. Essential Information Triggers manually or on a scheduled basis (e.g., every 5 minutes). Reads and parses server logs to detect errors. Alerts developers via Slack and creates Jira tickets for critical errors. System Architecture Error Detection Pipeline**: Manual Trigger: Initiates the workflow manually. Schedule Every 5min: Schedules automatic runs every 5 minutes. Set Config: Configures basic parameters for log reading. Read Error Logs: Executes SSH command to fetch server logs. Wait For All Logs: Ensures all logs are read. Error Processing Flow**: Parse Logs: Parses logs and categorizes critical vs. non-critical errors. IF Critical Error: Filters for critical errors. Alert and Ticket Creation**: Send Slack Alert: Sends detailed alerts for critical errors via Slack. Create Jira Ticket: Creates a Jira ticket for critical errors. Send Non-Critical Alert: Sends simple alerts for non-critical errors via Slack. Implementation Guide Import the workflow JSON into n8n. Configure SSH credentials for log access. Set up Slack and Jira integrations with appropriate credentials. Test with a manual trigger and sample log data. Adjust the schedule (e.g., every 5min) and error parsing rules as needed. Monitor alert accuracy and ticket creation. Technical Dependencies SSH access for reading server logs. Slack API for team notifications. Jira API for bug ticket creation. n8n for workflow automation and scheduling. Customization Possibilities Adjust the Cron schedule for different intervals (e.g., every 10min). Modify Parse Logs node to refine error categorization rules. Customize Slack alert messages in Send Slack Alert and Send Non-Critical Alert nodes. Enhance Jira ticket details in Create Jira Ticket node (e.g., add priority). Add email notifications for additional alert channels.

> ⚠️ Notice: > Community nodes like @custom-js/n8n-nodes-pdf-toolkit can only be installed on self-hosted instances of n8n. This n8n workflow demonstrates how to collect form submissions from a landing page, fill a PDF form automatically, and send it via email. It uses the PDF Form Fill node from customjs.space to populate PDF fields with the submitted data. What this workflow does Serves a landing page with a user-friendly form. Receives form submissions via a Webhook. Uses the HTTP Request node to fetch a PDF template. Fills the PDF form fields with the submitted data using the PDF Form Fill node. Optionally reads PDF form field names using Get PDF Form Fields. Sends the completed PDF as an email attachment. Requirements Self-hosted n8n instance. CustomJS API key for the PDF Toolkit nodes. SMTP account for sending emails. Optional: Access to the PDF template online. Workflow Steps Landingpage Endpoint (Webhook) Serves the landing page HTML to visitors. Set Form Endpoint Dynamically injects the endpoint URL into the HTML form. HTML for Landingpage Provides the form where users enter personal information (name, address, city, country, etc.). Respond to Webhook Returns the landing page HTML to the visitor. FormData Endpoint (Webhook) Receives the submitted form data as JSON. HTTP Request – Get PDF Template Fetches the PDF form template from a URL. PDF Form Fill (Fill PDF Fields) Populates the PDF with the submitted form data. Get PDF Form Fields (Optional) Reads and lists the names of the form fields in the PDF. Send Email Sends the completed PDF as an attachment to a configured recipient. Sticky Notes Provide documentation within the workflow for easier understanding and maintenance. Usage Get API key from CustomJS Sign up on the CustomJS platform. Navigate to your profile page and copy your API key. Set Credentials for CustomJS API in n8n Create a new credential in n8n with your API key. Prepare SMTP Credentials Add your SMTP server credentials to n8n for sending emails. Run or schedule the workflow The workflow will serve the landing page, fill the PDF form with submissions, and send it via email. Customization Tips Modify the landing page form** in the HTML node to add or remove fields. Change PDF template URL** in the HTTP Request node. Add more recipients** or dynamic email addresses in the Send Email node. Track submitted form data** in Google Sheets or a database for long-term storage. Extend workflow logic** with validation or notifications using additional nodes.

The "WhatsApp Productivity Assistant with Memory and AI Imaging" is a comprehensive n8n workflow that transforms your WhatsApp into a powerful, multi-talented AI assistant. It's designed to handle a wide range of tasks by understanding user messages, analyzing images, and connecting to various external tools and services. The assistant can hold natural conversations, remember past interactions using a MongoDB vector store (RAG), and decide which tool is best suited for a user's request. Whether you need to check your schedule, research a topic, get the latest news, create an image, or even analyze a picture you send, this workflow orchestrates it all seamlessly through a single WhatsApp chat interface. The workflow is structured into several interconnected components: WhatsApp Trigger & Incoming Message Processing:** This is the entry point, starting when a message (text or image) is received via WhatsApp. A Route Message by Type (Image/Text) node then intelligently routes the message based on its content type. A Typing.... node sends a typing indicator to the user for a better experience. If an image is received, it's downloaded, processed via an HTTP Request, and analyzed by the Analyze image node. The Code1 node then standardizes both text and image analysis output into a single, unified input for the main AI agent. Core AI Agent:** This is the brain of the operation. The AI Agent1 node receives the user's input, maintains short-term conversational memory using Simple Memory, and uses a powerful language model (gpt-oss-120b2 or gpt-oss-120b1) to decide which tool or sub-agent to use. It orchestrates all the other agents and tools. Productivity Tools Agent:** This group of nodes connects the assistant to your personal productivity suite. It includes sub-agents and tools for managing Google Calendar, Google Tasks, and Gmail, allowing you to schedule events, manage to-dos, and read emails. It leverages a language model (gpt-4.1-mini or gemini-2.5-flash) for understanding and executing commands within these tools. Research Tool Agent:** This agent handles all research-related queries. It has access to multiple search tools (Brave Web Search, Brave News Search, Wikipedia, Tavily, and a custom perprlexcia search) to find the most accurate and up-to-date information from the web. It uses a language model (gpt-oss-120b or gpt-4.1-nanoChat Model1) for reasoning. Long-Term Memory Webhook:** A dedicated sub-workflow (Webhook2) that processes conversation history, extracts key information using Extract Memory Info, and stores it in a MongoDB Atlas Vector Store for long-term memory. This allows the AI agent to remember past preferences and facts. Image Generation Webhook: ** A specialized sub-workflow (Webhook3) triggered when a user asks to create an image. It uses a dedicated AI Agent with MongoDB Atlas Vector Store1 for contextual image prompt generation, Clean Prompt Text1 to refine the prompt, an HTTP Request to an external image generation API (e.g., Together.xyz), and then converts and sends the generated image back to the user via WhatsApp. Use Cases Personal Assistant:** Schedule appointments, create tasks, read recent emails, and manage your daily agenda directly from WhatsApp. Information Retrieval:** Ask any factual, news, or research-based question and get real-time answers from various web sources. Creative Content Generation:** Request the AI to generate images based on your descriptions for logos, artwork, or social media content. Smart Communication:** Engage in natural, contextual conversations with an AI that remembers past interactions. Image Analysis:** Send an image and ask the AI to describe its contents or answer questions about it. Pre-conditions Before importing and running this template, you will need: Self-hosted n8n Instance:** This template requires a self-hosted n8n instance as it uses webhooks that need public accessibility. WhatsApp Business Account:** A Meta Developer Account configured for WhatsApp Business Platform API access. MongoDB Atlas Account:** A MongoDB Atlas cluster with a database and collection set up for the vector store. Google Cloud Project:** Configured with API access for Google Calendar, Google Tasks, and Gmail. API Keys/Accounts for:** OpenWeatherMap: For weather forecasts. Groq, OpenRouter, or Vercel AI Gateway: For various Language Models (e.g., gpt-oss-120b, gpt-5-nano, gpt-4o-mini). Mistral Cloud: For embedding models (e.g., codestral-embed-2505). Brave Search: For web and news searches. Tavily API: For structured search results. Together.xyz or similar Image Generation API: For creating images. Perplexity API (or self-hosted instance): For the perprlexcia tool (the current URL http://self hoseted perplexcia/api/search implies a self-hosted or custom endpoint). Publicly Accessible URLs:** Your n8n instance and any custom webhook endpoints (like perprlexcia) must be publicly accessible. Requirements (n8n Credentials) You will need to set up the following credentials within your n8n instance: WhatsApp OAuth account:** For the WhatsApp Trigger node. WhatsApp account:** For Send message2, Send message3, Download media, and Typing.... nodes. Google Palm Api account:** For Analyze image, Google Gemini Chat Model, gemini-2.5-flash, and Google Gemini Chat Model5 nodes. OpenWeatherMap account:** For the Get Weather Forecast node. Groq account:** For gpt-oss-120b node. Google Calendar OAuth2Api account:** For the Google Calendar tools. MongoDB account:** For MongoDB Atlas Vector Store nodes. OpenRouter account:** For gpt-5-nano and gpt-4.1-nanoChat Model1 nodes. Gmail account :** For Get many messages and Get a message nodes (ensure correct Gmail OAuth2 setup for each). Google Tasks account:** For the Google Tasks tools. Bearer Auth account:** For HTTP Request5 (used in media download). Brave Search account:** For Brave Web Search and Brave News Search nodes. Vercel Ai Gateway Api account:** For gpt-4.1-mini, gpt-oss-120b, gpt-oss-120b2, and gpt-4.1-nano nodes. HTTP Header Auth account:** For Tavily web search (create a new one named "Tavily API Key" with Authorization: Bearer YOUR_TAVILY_API_KEY) and HTTP Request (for Together.xyz, e.g., "Together.xyz API Key"). Mistral Cloud account:** For codestral-embed-2505, codestral-embed-, and codestral-embed-2506 nodes.

This workflow automates the entire lifecycle of collecting, filtering, summarizing, and delivering the most important daily news in technology, artificial intelligence, cybersecurity, and the digital industry. It functions as a fully autonomous editorial engine, combining dozens of RSS feeds, structured data processing, and an LLM (Google Gemini) to transform a large volume of raw articles into a concise, high–value daily briefing delivered straight to your inbox. Read: Full setup Guide ✅ 1. Scheduled Automation The workflow begins with a Schedule Trigger, which runs at predefined intervals. Every execution generates a fresh briefing that reflects the most relevant news from the past 24 hours. ✅ 2. Massive Multi-Source RSS Collection The workflow gathers content from over 25 curated RSS feeds covering: 🔐 Cybersecurity (The Hacker News, Krebs on Security, SANS, CVE feeds, Google Cloud Threat Intelligence, Cisco Talos, etc.) 🤖 Artificial Intelligence (Google Research, MIT News, AI News, OpenAI News) 💻 Technology & Digital Industry (Il Sole 24 Ore, Cybersecurity360, Graham Cluley, and more) ⚙️ Nvidia Ecosystem (Nvidia Newsroom, Nvidia Developer Blog, Nvidia Blog) Each RSS feed is handled by a dedicated node, which ensures: source isolation easier debugging no single point of failure The feeds are grouped using category-specific Merge nodes (Cyber1/2/3, AI, Nvidia), enabling modular scalability. ✅ 3. Unified Feed Aggregation All category merges feed into the Merge_All node, creating a single combined dataset of articles from every source. ✅ 4. Intelligent Filtering (last 24 hours only) The Filter node removes: articles older than 24 hours (based on isoDate) invalid items duplicated or redundant entries This keeps the briefing strictly relevant to the current day. ✅ 5. Chronological Sorting The Sort – Articles by Date node orders all remaining items in descending date order. More recent or time-sensitive news is therefore prioritized. ✅ 6. Data Normalization (JavaScript Code) A dedicated Code node transforms all incoming items into one clean JSON object: { "articles": [ { "title": "...", "content": "...", "link": "...", "isoDate": "..." } ] } This standardized structure becomes the input for the LLM summarization stage. ✅ 7. AI Editorial Processing – Google Gemini The node LLM – News Summarizer is the workflow’s editorial brain. A complex prompt instructs Gemini to behave like the editor-in-chief of a major tech newspaper, enforcing strict rules: Selection rules: choose only 8–10 truly important stories ignore low-value content (minor product releases, clickbait, rumors…) Relevance criteria: AI research & foundation models Big Tech developments cybersecurity incidents regulation and digital policy semiconductors, cloud, and infrastructure digital rights, governance, sovereignty Deduplication: If multiple feeds report the same story, only one version is kept. Output format: Gemini must output a valid JSON object containing: subject: the email subject line html: a fully structured HTML body grouped into categories Each news item ends with a clickable HTML source link, NEVER plaintext URLs. This step condenses dozens of articles into a polished, editorial-grade briefing. ✅ 8. HTML Newsletter Assembly (Code Node) The Build Final Newsletter HTML node: safely parses the JSON from the LLM cleans any validates subject and html fields embeds the content into a modern, responsive HTML email template The output is a single item containing: the final email subject the final HTML body Ready to be sent. ✅ 9. Automatic Email Delivery The Send Final Digest Email (Gmail node): uses the generated subject sends the curated HTML newsletter delivers it to the configured recipient(s) uses a custom sender name (“n8n News”) The result is a fully automated Tech & AI Daily Briefing delivered with zero manual effort. In Summary: What This Workflow Achieves ✔ Collects news from 25+ high-quality RSS sources ✔ Normalizes, filters, and sorts all items automatically ✔ Uses Google Gemini to select only the stories that truly matter ✔ Generates a coherent, readable, professional-looking HTML newsletter ✔ Sends the result via email every day Perfect for: daily executive briefings technology and cybersecurity monitoring automated newsletter production internal knowledge distribution competitive intelligence workflows

This n8n template creates an intelligent AI-powered travel agent that can assist with travel planning and send email confirmations. The agent can extract user requests, plan travel itineraries by fetching real-time data on flights, accommodations, and activities, and then communicate this information by sending a customized email. Use Cases Quickly plan a trip by providing your destination and dates. Get real-time flight and accommodation details for a planned vacation. Receive a summary of your travel plans directly in your inbox. A personal travel planner available on-the-go. Good to Know This template uses Google Gemini for AI reasoning. The Planner Agent can break down complex travel requests and make multiple API calls to gather all the necessary information. The Email Agent crafts a professional and personalized email to send to the user. How it Works Incoming Message Trigger: The workflow begins when a new message is received from a user. Extract User Request: The user's message is sent to a Gemini Chat Model which identifies the user's intent and extracts key details like destination, dates, and interests. Planner Agent: The extracted information is passed to the Planner Agent. This agent, powered by Gemini, determines what information is needed and then calls a series of sub-agents to gather: Activities: Fetches information about local attractions and things to do. Flight Booking: Retrieves flight details and pricing. Accommodation Details: Looks for hotels, rentals, and other lodging options. Accommodations: Gathers general information about accommodations. Email Agent: Once the Planner Agent has collected all the necessary information, it’s handed over to the Email Agent. This agent uses a second Gemini Chat Model to format a clear and professional email containing the full travel itinerary. Send Message: The final email is sent to the user, providing a comprehensive travel plan. How to Use Clone this workflow into your n8n instance. Connect your accounts as required. You will need credentials for your email service and any APIs you want to use for fetching travel data (e.g., flight booking, accommodation, and activities). Modify the nodes with your specific credentials and API endpoints. Run the workflow and start receiving automated travel plans. Requirements Google Gemini account for AI reasoning. Email integration (e.g., Gmail, Outlook). Serp API keys for travel-related services (optional, depending on your setup). Customizing This Workflow Add more integrations (e.g., a hotel booking service like Booking.com, a restaurant reservation system) for extended functionality. Modify the AI prompts in the agent nodes to fine-tune the personality or focus of the travel agent. Connect the final output to a different messaging service like Telegram or Slack instead of email.

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. 🚀 GPT-5 AI Lead Research & Auto-Email Agent – Instant Personalized Follow-Ups for Inbound Leads Description: Turn every inbound lead into a booked meeting — automatically. For step-by-step guide on how to build workflows like these, watch the free tutorial videos here: https://www.youtube.com/@Automatewithmarc This n8n workflow uses the latest GPT-5 model as your 24/7 AI research and email assistant. The moment a prospect submits your lead form, the workflow: Captures lead details (name, business URL, email, and inquiry). Researches the lead’s business online using the Tavily AI search tool for relevant context. Writes a highly-personalized email with GPT-5, including a compelling subject line, friendly tone, and clear call-to-action to book a meeting. Sends the email automatically via Gmail — no manual work required. Perfect for startups, agencies, SaaS companies, and B2B sales teams, this template ensures lightning-fast responses and higher conversion rates. Key Features & Benefits: 🔍 AI-powered research – pulls real, up-to-date insights on your leads before responding. ✍ Natural, persuasive copywriting – GPT-5 crafts emails that sound human, not robotic. ⏱ Instant follow-ups – zero delay from form submission to inbox. 📈 Boost booking rates – every email includes your scheduling link (e.g., Calendly). ⚙ No-code automation – easily customize tone, style, or meeting link. Ideal Use Cases: Automating inbound lead follow-up in marketing agencies. Personalized outreach for B2B SaaS sales teams. High-touch response for consultants and service providers. Included Integrations: Form Trigger – capture lead data. Tavily Search Tool – enrich lead profiles with live research. GPT-5 Agent – craft tailored responses with contextual awareness. Gmail – send professional follow-up emails instantly. 💡 Pro Tip: Pair this with your CRM in n8n to log every lead interaction and track conversions end-to-end.

Who's it for This workflow is for Customer Success, Product, and Support teams who need to centralize and analyze unstructured customer feedback. It automates the process of identifying key themes from various communication channels, allowing you to proactively address issues, track feature requests, and understand the voice of the customer without manual effort. What it does This workflow uses a powerful chain of AI agents to process customer feedback from end to end. It begins by using a Data Agent to gather all recent customer interactions from multiple sources, including Gmail, Pipedrive, Zendesk, and Slack. Once the raw data is collected, a second AI Chain reads all the text and compresses it into concise, actionable "signals." A third AI Chain then takes these signals and intelligently clusters them into shared topics, assigning each a human-readable label like "Billing," "Performance," or "Feature Request." Finally, a fourth AI Agent acts as a dispatcher. It analyzes the clustered topics and follows a set of routing rules defined in its prompt to take the appropriate action. It uses its tools to automatically create a Zendesk ticket for product feedback, send a Slack message for billing issues, create a Notion page for training opportunities, or send a direct email alert for high-risk accounts. How to set up To get this workflow running, you will need to configure the credentials and parameters for the following nodes: Configure Credentials: Add your credentials for the Config: Set LLM for Agents node and all of the Tool nodes (Gmail, Pipedrive, Zendesk, Slack, and Notion). Set Initial Parameters: In the Set: Initial Parameters node, update the placeholder email address and the Slack channel name for billing alerts. Update Slack Search Channel: In the Tool: Search Slack Messages node, set the channel you want the agent to search for feedback in. Activate Workflow: Once configured, you can run the workflow manually to start the analysis. Requirements An account with an LLM provider, such as OpenAI. Accounts for the services you wish to connect (Gmail, Pipedrive, Zendesk, Slack, Notion). This workflow requires n8n's Langchain community nodes to be installed on your instance. How to customize the workflow This workflow's logic is primarily driven by AI prompts, making it highly customizable: AI Prompts:** Adjust the prompts in any of the AI Agent or AI Chain nodes to change the data gathering, analysis, clustering, or routing rules to fit your business needs. Data Sources:** Add, remove, or swap out the "Tool" nodes in the AI Agent: Gather Customer Feedback section to connect to different data sources like Intercom, Salesforce, or a database. Triggers:** Replace the Manual Trigger with a Schedule Trigger to run the analysis automatically on a daily or weekly basis.

What this does This automation automatically sends an email with a random Bible verse to a specified recipient every morning, as well as some reflections on the meaning of that verse. Start your day off grounded and faithful. Requirements n8n Gmail account with OAuth2 credentials enabled Google Gemini(PaLM) API credentials enabled How this works Runs every morning at 7:00a. Reads the config value send_to_email Calls bible.api for a random verse Uses Gemini to analyze the random verse and create the body text for the email Sends an Email to the recipient specified by send_to_email Subject reads "Daily Bible Verse: Inspiration for Today (book #:#)" How to set up In the "Config - recipient" node, in the send_to_email field, replace "example@example.com" with the desired recipient email Add your Google Gemini(PaLM) API credentials Add your Gmail OAuth2 credentials (optional) In the "Schedule trigger" node, keep the default schedule at 7:00a or change the hour as desired Test the flow by running it to verify the subject and body content. How to customize the workflow Change the send time in the Schedule Trigger node Change the Bible translation, or specify Old vs. New Testament in the Bible API node Adjust the prompt in the Gemini node to change the email content Modify the subject line in the Gmail node

🌐 Webpage Audit AI Agent – Automate Your Website Review This workflow contains a virtual digital consultant team to professionally analyze Landing Page, generate Audit Report and sent it via Gmail. At the center is the Editor-in-Chief AI Agent, who acts as the lead strategist. When you submit a website URL, it is scraped and then sent to to a team of specialist AI Agents (each powered by GPT-4o-mini for speed) then after finishing their sub-porcess deliver outcome to the final Editor (Claude Sonnet for premium quality) which is responsible for generating professional analysis. The result: a consulting-style email audit report that combines technical accuracy with business clarity — delivered straight to your inbox. 🟢 Section 1 – Entry & Leadership Nodes: 🌍 Webhook node → Entry point where the website URL, email and language is entered. 📝 Editor-in-Chief Agent → Acts like the consulting team leader. Interprets the request and merges results. 💡 Think Tool → Helps structure the analysis, ensuring that findings are presented in a business-friendly way. 🧠 CRO/SEO/Tech AI Agents → Ensures both efficiency (GPT-4o-mini for scanning large content quickly) and focus on specific task. ✅ Beginner view: Think of this as submitting your website to a digital auditor. They decide what needs to be reviewed, delegate to the right experts, and then craft the final report. 📊 Section 2 – Specialist Audit AI Agents Each specialist focuses on one critical layer of your website: 🔧 Technical SEO Agent → Analyzes code structure, page speed, mobile responsiveness, metadata, and accessibility. 📝 Content SEO Agent → Reviews keyword strategy, text quality, readability, and semantic richness. 🎯 CRO & UX Agent → Checks calls-to-action, user flows, conversion points, and usability. 📈 Analytics Agent → Validates tracking, funnels, and key performance indicators (optional). ✅ Beginner view: This is like hiring a team of experts — SEO, content, UX, and analytics — all working in parallel on your website. 📋 Section 3 – Flow of Execution You submit your website URL. Then it is distributed to the team of AI Agents. Each Agent runs its analysis in parallel. Findings are sent to the Editor-in-Chief. The Editor compiles everything into a consulting-style newsletter report. The final report is emailed to you automatically. ✅ Beginner view: It’s like sending your site to a consulting firm, and within minutes you get a polished audit back in your inbox. 📊 Summary Table | Section | Key Roles | Models | Purpose | Beginner Benefit | |-----------------------|---------------------------------|----------------------------|------------------------------|-------------------------------------------| | 🟢 Entry & Leadership | Editor-in-Chief, Think Tool | Anthropic Claude Sonnet 4| Organize and refine analysis | Works like a consulting team leader | | 📊 Specialists | SEO, Content, CRO, Analytics | GPT-4o-mini | Detailed audits of each area | Each Agent = a specialized consultant | | 📋 Execution Flow | All connected | n8n workflow | Collaboration and reporting | Output = clear, professional audit email | 🌟 Why This Workflow Rocks Full digital consulting team in one workflow** Parallel execution → speed without losing depth** Strategic + tactical insights → both “what” and “how”** Cost-optimized** ($0.40–$0.70 per run) → cheaper than a single human consultant review Action-oriented output** → not just issues, but recommendations and next steps Scalable** → easily extend with more audit dimensions (security, branding, accessibility, etc.) 👉 Example Use Case “Analyze my e-commerce site for SEO, CRO, and technical issues.” Technical SEO Agent → Reports missing alt text, metadata, and slow mobile speed. Content SEO Agent → Flags weak product descriptions, suggests keyword improvements. CRO Agent → Finds unclear CTAs and checkout friction points. Editor-in-Chief Agent → Combines everything into a consulting-style email with prioritized fixes and estimated business impact. ✅ Delivered directly to your inbox in under 5 minutes.

Research for Upcoming Meeting Creator: Summer Chang Never walk into a meeting unprepared again! This workflow automatically researches your meeting contacts every morning and emails you the latest news and insights about the companies you're meeting with today. ✅ Step 1: Set Your Morning Briefing Time Open the Every morning @ 7 Schedule Trigger and adjust the time when you'd like to receive your daily meeting briefings. The default is set to 9 AM. ✅ Step 2: Connect Your Google Calendar Link your Google Calendar credentials to the Get meetings for today node. This allows the workflow to scan your calendar for external meetings. ✅ Step 3: Connect Your Tavily Research API Add your Tavily API key to the Research Company/Person node. This powers the intelligent research that finds recent news and insights about your meeting contacts. ✅ Step 4: Link Your Gmail Account Connect your Gmail credentials to the Send news node so your research briefings can be automatically delivered to your inbox each morning. ✅ Step 5: Customize Your Email Settings In the Send news node, update: Send To: Your email address Sender Name: Customize how the emails appear in your inbox ✅ Step 6: Activate the Workflow Once everything is connected, set the workflow to active so it runs automatically each morning and keeps you prepared.

Description Automates website downtime detection and notifications using UptimeRobot. Triggers alerts via Slack, WhatsApp, or Email when a website goes down. Creates a task in Notion and tags the responsible engineer for resolution. Essential Information Monitors website status via UptimeRobot webhook. Sends immediate alerts to multiple channels (Slack, WhatsApp, Email). Generates a Notion task to track and assign downtime resolution. System Architecture Downtime Detection Pipeline**: UptimeRobot Webhook Trigger: Detects website status changes (triggers on "down" status). Alert Generation Flow**: Send Slack Alert: Notifies the team via Slack. Send WhatsApp Alert: Sends a message via WhatsApp. Send Email Alert: Emails the team about the downtime. Task Management**: Create Notion Task: Creates a task in Notion and tags the responsible engineer. Implementation Guide Import the workflow JSON into n8n. Configure UptimeRobot webhook with the workflow URL (trigger on "down" status). Set up Slack, WhatsApp, and Email credentials. Configure Notion integration and specify the responsible engineer tag. Test with a simulated downtime event. Monitor alert delivery and task creation accuracy. Technical Dependencies UptimeRobot API for website monitoring and webhook triggers. Slack API for team notifications. WhatsApp API (e.g., Twilio) for messaging. Email service (e.g., SMTP) for email alerts. Notion API for task management. n8n for workflow automation. Customization Possibilities Adjust UptimeRobot trigger to include additional status conditions (e.g., "paused"). Customize alert messages in Slack, WhatsApp, and Email nodes. Modify Notion task template to include more details (e.g., downtime duration). Add escalation logic for unresolved issues. Integrate with additional tools (e.g., PagerDuty) for alerts.