Workflow Templates

Overview This automated workflow delivers a weekly digest of the most important AI news directly to your inbox. Every Monday at 9 AM, it uses Perplexity AI to research the latest developments and organizes them into four key categories: New Technology, Trending Topics, Top Stories, and AI Security. The workflow then formats this information into a beautifully designed HTML email with summaries, significance explanations, and source links. What It Does Automatically searches for the latest AI news using Perplexity AI Categorizes content into four focused areas most relevant to AI enthusiasts and professionals Generates comprehensive summaries explaining why each story matters Creates a professional HTML email with styled sections and clickable links Sends weekly on Monday at 9 AM (customizable schedule) Includes error handling with fallback content if news parsing fails Setup Instructions Import the Workflow Copy the JSON code and import it into your n8n instance The workflow will appear as “Daily AI News Summary” Configure Perplexity API Sign up for a Perplexity API account at perplexity.ai Create new credentials in n8n: Type: “OpenAI” Name: “perplexity-credentials” API Key: Your Perplexity API key Base URL: https://api.perplexity.ai Set Up Email Credentials Configure SMTP credentials in n8n: Name: “email-credentials” Add your email provider’s SMTP settings Test the connection to ensure emails can be sent Customize Email Settings Open the “Send Email Summary” node Update the toEmail field with your email address Modify the fromEmail if needed (must match your SMTP credentials) Optional Customizations Change Schedule:** Modify the “Daily Trigger” node to run at your preferred time Adjust Categories:** Edit the Perplexity prompt to focus on different AI topics or change the theme altogether Modify Styling:** Update the HTML template in the “Format Email Content” node Test and Activate Run a test execution to ensure everything works correctly Activate the workflow to start receiving daily AI news summaries Requirements n8n instance (cloud or self-hosted) Perplexity API account and key SMTP email access (Gmail, Outlook, etc.)

Use case This automation is for teams working in Notion. When you have a lot of back and forth in the comment section, it’s easy to lose track of what is going on in the conversation. This automation relies on AI to generate a summary of the comment section. How it works Every hour (the trigger can be adapted to your need and usecase), the automation checks if new comments have been added to the pages of your Notion database. If there are new comments, the comments are sent to an AI model to write a summary. The summary is then added to a predefined page property. The automation also updates a “Last execution” property. This prevents to re-generate the AI summary when no new comments have been received. Setup Define your Notion variables: Notion database, property that will hold the AI summary, property that will hold the last execution date of the automation. Set up your Notion credentials. Set up your AI model credentials (API key). How to adjust it to your needs Use the LLM model of your choice. In this template, I used Gemini but you can easily replace it by ChatGPT, Claude, etc. Adapt the prompt to your use case to get better summaries: specify the maximum number of characters, give an example, etc. Adapt the trigger to your needs. You could use Notion webhooks as trigger in order to run the automation only when a new comment is added (this setup is advised if you’re on n8n cloud version).

Who is this template for? This template is for teams and administrators who use n8n to monitor Elastic alerts and want to receive automated email notifications when an alert is triggered. It leverages Microsoft Graph API to send emails and provides an efficient way to notify users about alerts directly in their inbox. How it works? The template connects to the Elastic API to retrieve alert data. When a new alert is detected, the workflow processes the alert content and sends an email notification via Microsoft Graph API. The email includes alert details such as the alert name, timestamp, severity, and a summary of the message, allowing for quick action or review. Setup steps Step 1: Set up OAuth2 Credentials in n8n for Microsoft Graph API with Mail.Send permission. Step 2: Configure your Elastic API endpoint in the HTTP Request node to retrieve alerts. Step 3: Modify the email recipients in the template to specify who will receive the alert notifications. Step 4: Customize the email format, if necessary, to include additional alert details or adjust the message.

🎯 What It Does: This project lets you talk to Siri (via Apple Shortcuts) and record or query your daily spending. The shortcut sends your message to an n8n Webhook, which uses AI to decide whether it’s for writing or reading finance data, then replies with a human-friendly message — all powered by n8n + AI + Google Sheets. ⸻ 🌐 PART 1: n8n Setup 🧩 1. Create a Webhook Trigger in n8n • Add a node: Webhook • Set HTTP Method: POST • Set Path: siri-finance • Enable “Respond to Webhook” = ✅ 🧠 2. Add AI Agent Node (e.g. OpenAI, Ollama, Gemini) • Use system prompt like: You are a finance assistant. Decide if the user wants to record or read transactions. If it's recording, return a JSON object with date, type, name, amount, and expense/income. If it's reading, return date range and type (Expense/Income). Always reply with a human-friendly summary. • Input: {{ $json.text }} (from webhook) • Output: structured json.output 🧮 3. (Optional) Add Logic to write to DB / Supabase / Google Sheets • Append tool: Adds a new row • Read tool: Queries past data Now your n8n flow is ready! ⸻ 📱 PART 2: iOS Shortcut Setup ⚙️ 1. Create a new Shortcut • Name it: 記帳助理 (or Finance Bot) • Add Action: Ask for Input • Prompt: “請說出你的記帳內容” • Input Type: Text • Add Action: Get Contents of URL • Method: POST • URL: https://your-n8n-domain/webhook/siri-finance • Headers: Content-Type: application/json • Request Body: { "text": "Provided Input" } • Replace "Provided Input" with Magic Variable → Input Result 🔊 2. Show Result • Add Action: Show Result • Content: Get Contents of URL 🗣️ 3. Optional: Add “Speak Text” • If you want Siri to speak it back, add Speak Text after Show Result. ⸻ ✅ Example Usage • You: “Hey Siri, 開支$50 早餐” • Siri: “已記錄支出：項目 早餐，金額 $50，已寫入” Or • You: “查一下我過去7日用了幾多錢” • Siri: “你過去7日總支出為 $7684.64，包括：⋯⋯” ⸻ 📦 Files to Share You can package the following: • .shortcut file export • Sample n8n workflow .json • Optional Supabase schema / Google Sheet template ⸻ 💡 Tips for Newcomers • Keep your Webhook public but protect with token if needed. • Ensure you handle emoji and newline safely for iOS compatibility. • Add logging nodes in n8n to help debug Siri messages. ⸻ 🗣️ Optional Project Name “Siri 記帳助理” / “Finance VoiceBot” A simple voice-first way to manage your daily expenses.

Who is this for? This workflow is for social media agencies, influencer marketers, and brand managers who need to automatically qualify TikTok creators based on their follower metrics. It’s especially useful for teams managing influencer outreach campaigns or building talent databases. What problem is this workflow solving? Manually tracking TikTok user stats is time-consuming and inconsistent. This automation instantly pulls TikTok profile data and only saves creators who meet a defined follower threshold. It removes manual vetting, reduces spreadsheet work, and makes influencer qualification scalable. What this workflow does This workflow uses Airtable as the trigger, Dumpling AI to scrape TikTok profile information, and a logic condition to check if the profile has more than 100k followers. Qualified profiles are updated with full metrics and stored back in Airtable. Setup Airtable Setup Create a table with a field named Tik tok username Connect your Airtable account to n8n using a Personal Access Token Set up a trigger to run when a new TikTok username is added Dumpling AI Sign up at Dumpling AI Create a Dumpling AI credential in n8n using your API key The HTTP node sends the TikTok handle to Dumpling’s /get-tiktok-profile endpoint Configure Filter The IF node checks if followerCount is greater than or equal to 100000 Airtable Update If qualified, the record is updated with: ID (TikTok ID) followerCount followingCount heartCount videoCount How to customize this workflow to your needs Change the follower count threshold to fit your campaign (e.g. 10K, 500K, 1M) Add fields like engagement rate, niche tags, or scraped bio Chain additional steps like sending approved creators to your CRM or triggering outreach messages Add another filter to exclude private or inactive accounts

How it works This template uses the n8n AI agent node as an orchestrating agent that decides which tool (knowledge graph) to use based on the user's prompt. How to use Create an account and apply for an API key on https://ai.nero.com/ai-api?utm_source=n8n-base-workflow. Fill your key into the Create task and Query task status nodes. Select an AI service and modify Create task node parameters, the API doc: https://ai.nero.com/ai-api/docs. Execute the workflow so that the webhook starts listening. Make a test request by postman or other tools, the test URL from the Webhook node. You will receive the output in the webhook response. Our API doc Please create an account to access our API docs. https://ai.nero.com/ai-api/docs. Use cases Large Scale Printing Upscale images into ultra-sharp, billboard-ready masterpieces with 300+ DPI and billions of pixels. Game Assets Compression Improve your game performance with AI-Image Compression: Faster, Better & Lossless. E-commerce Image Editing Remove & replace your product image backgrounds, create virtual showrooms. Photo Retouching Remove & reduce grains & noises from images. Face Animation Transform static images into dynamic facial expression videos or GIFs with our cutting-edge Face Animation API Photo Restoration Our Al-driven Photo Restoration API offers advanced scratch removal, face enhancement, and image upscaling. Colorize Photo Transform black & white images into vivid colors. Avatar Generator Turn your selfie into custom avatars with different styles and backgrounds Website Compression Speed up your website, compress your images in bulk.

🚀 Automated Competitor Intelligence: CrunchBase to ClickUp Tracking Workflow! Workflow Overview This cutting-edge n8n automation is a sophisticated competitive intelligence tool designed to transform market research into actionable insights. By intelligently connecting CrunchBase, ClickUp, and intelligent data processing, this workflow: Discovers Competitor Insights: Automatically retrieves company data Tracks real-time business updates Eliminates manual research efforts Intelligent Data Processing: Converts company names to API-compatible formats Fetches comprehensive company information Ensures precise data retrieval Automated Task Management: Creates instant review tasks in ClickUp Distributes competitive intelligence Enables rapid team response Seamless Workflow Integration: Cross-platform data synchronization Reduces manual intervention Provides structured competitive insights Key Benefits 🤖 Full Automation: Zero-touch competitive tracking 💡 Smart Data Processing: Intelligent insight generation 📊 Comprehensive Intelligence: Detailed company information 🌐 Multi-Platform Synchronization: Seamless data flow Workflow Architecture 🔹 Stage 1: Competitor Identification Manual Trigger**: Workflow initiation Competitor Name Setting** Slug Generation**: Converts names to API-compatible formats Ensures precise data matching 🔹 Stage 2: Data Retrieval CrunchBase API Integration** Comprehensive Company Lookup** Real-Time Information Gathering** 🔹 Stage 3: Insight Distribution ClickUp Task Creation** Structured Information Sharing** Team Notification Mechanism** Potential Use Cases Strategic Planning**: Competitive landscape monitoring Sales Teams**: Market intelligence gathering Product Managers**: Tracking industry innovations Investors**: Investment opportunity research Marketing Departments**: Competitive analysis Setup Requirements CrunchBase API API credentials Configured access permissions Company tracking setup ClickUp Workspace Connected ClickUp account Task management configuration Team collaboration settings n8n Installation Cloud or self-hosted instance Workflow configuration API credential management Future Enhancement Suggestions 🤖 Multi-competitor tracking 📊 Advanced trend analysis 🔔 Customizable alert mechanisms 🌐 Expanded data source integration 🧠 Machine learning insights generation Technical Considerations Implement robust error handling Use secure API authentication Maintain flexible data processing Ensure compliance with API usage guidelines Ethical Guidelines Respect business privacy Use data for legitimate research Maintain transparent information gathering Provide proper attribution Hashtag Performance Boost 🚀 #CompetitiveIntelligence #MarketResearch #BusinessTracking #AIWorkflow #DataAutomation #TechInnovation #StrategicPlanning #BusinessIntelligence #MarketInsights #APIAutomation Workflow Visualization [Manual Trigger] ⬇️ [Set Competitor Name] ⬇️ [Generate Crunchbase Slug] ⬇️ [Fetch Crunchbase Data] ⬇️ [Create ClickUp Task] Connect With Me Ready to revolutionize your competitive intelligence? 📧 Email: Yaron@nofluff.online 🎥 YouTube: @YaronBeen 💼 LinkedIn: Yaron Been Transform your competitive research with intelligent, automated workflows!

🚀 Automated Job Market Tracker: Upwork Scraper to Google Sheets Workflow! Workflow Overview This cutting-edge n8n automation is a sophisticated job market intelligence tool designed to transform freelance job tracking into a seamless, data-driven process. By intelligently connecting Apify, data processing, and Google Sheets, this workflow: Discovers Job Opportunities: Automatically scrapes Upwork job listings Tracks recent freelance postings Eliminates manual job market research Intelligent Data Processing: Filters and extracts key job details Structures job information Ensures comprehensive opportunity tracking Seamless Data Logging: Automatically updates Google Sheets Creates real-time job market database Enables rapid market trend analysis Scheduled Intelligence Gathering: Periodic automated tracking Consistent job listing updates Zero manual intervention required Key Benefits 🤖 Full Automation: Zero-touch job market research 💡 Smart Filtering: Targeted job opportunity insights 📊 Comprehensive Tracking: Detailed freelance market intelligence 🌐 Multi-Source Synchronization: Seamless data flow Workflow Architecture 🔹 Stage 1: Job Discovery Scheduled Trigger**: Periodic market scanning Apify Integration**: Upwork job scraping Intelligent Filtering**: Recent job postings Specific keywords Relevant opportunities 🔹 Stage 2: Data Extraction Comprehensive Job Metadata Parsing** Key Information Retrieval** Structured Data Preparation** 🔹 Stage 3: Data Logging Google Sheets Integration** Automatic Row Appending** Real-Time Database Updates** Potential Use Cases Freelancers**: Market trend tracking Job Seekers**: Opportunity intelligence Recruitment Agencies**: Market analysis Skill Development Professionals**: Skill demand monitoring Business Strategists**: Labor market insights Setup Requirements Apify Upwork scraping actor API token Configured scraping parameters Google Sheets Connected Google account Prepared job tracking spreadsheet Appropriate sharing settings n8n Installation Cloud or self-hosted instance Workflow configuration API credential management Future Enhancement Suggestions 🤖 Advanced job matching algorithms 📊 Multi-platform job aggregation 🔔 Customizable alert mechanisms 🌐 Expanded job category tracking 🧠 Machine learning job recommendation Technical Considerations Implement robust error handling Use secure API authentication Maintain flexible data processing Ensure compliance with platform guidelines Ethical Guidelines Respect job poster privacy Use data for legitimate research Maintain transparent information gathering Provide proper attribution Hashtag Performance Boost 🚀 #FreelanceJobTracking #JobMarketIntelligence #WorkflowAutomation #CareerTech #MarketResearch #JobInsights #SkillsDemand #TechInnovation #DataDrivenCareer #ProfessionalGrowth Workflow Visualization [Scheduled Trigger] ⬇️ [Fetch Upwork Jobs] ⬇️ [Format Job Data] ⬇️ [Log to Google Sheets] Connect With Me Ready to revolutionize your job market research? 📧 Email: Yaron@nofluff.online 🎥 YouTube: @YaronBeen 💼 LinkedIn: Yaron Been Transform your job market intelligence with intelligent, automated workflows!

Unlock a new level of sophistication for your AI agents with this template. While the native n8n Think Tool is great for giving an agent an internal monologue, it's limited to one instance. This workflow provides a clever solution using a sub-workflow to create multiple, custom thinking tools, each with its own specific purpose. This template provides the foundation for building agents that can plan, act, and then reflect on their actions before proceeding. Instead of just reacting, your agent can now follow a structured, multi-step reasoning process that you design, leading to more reliable and powerful automations. Who is this for? AI and automation developers:** Anyone looking to build complex, multi-tool agents that require robust logic and planning capabilities. LangChain enthusiasts:** Users familiar with advanced agent concepts like ReAct (Reason-Act) will find this a practical way to implement similar frameworks in n8n. Problem solvers:** If your current agent struggles with complex tasks, giving it distinct steps for planning and reflection can dramatically improve its performance. What problem does this solve? Bypasses the single "Think Tool" limit:** The core of this template is a technique that allows you to add as many distinct thinking steps to your agent as you need. Enables complex reasoning:** You can design a structured thought process for your agent, such as "Plan the entire process," "Execute Step 1," and "Reflect on the result," making it behave more intelligently. Improves agent reliability and debugging:** By forcing the agent to write down its thoughts at different stages, you can easily see its line of reasoning, making it less prone to errors and much easier to debug when things go wrong. Provides a blueprint for sophisticated AI:** This is not just a simple tool; it's a foundational framework for building state-of-the-art AI agents that can handle more nuanced and multi-step tasks. How it works The re-usable "Thinking Space": The magic of this template is a simple sub-workflow that does nothing but receive text. This workflow acts as a reusable "scratchpad." Creating custom thinking tools: In the main workflow, we use the Tool (Workflow) node to call this "scratchpad" sub-workflow multiple times. We give each of these tools a unique name (e.g., Initial thoughts, Additional thoughts). The power of descriptions: The key is the description you give each of these tool nodes. This description tells the agent when and how it should use that specific thinking step. For example, the Initial thoughts tool is described as the place to create a plan at the start of a task. Orchestration via system prompt: The main AI Agent's system prompt acts as the conductor, instructing the agent on the overall process and telling it about its new thinking abilities (e.g., "Always start by using the Initial thoughts tool to make a plan..."). A practical example: This template includes two thinking tools to demonstrate a "Plan and Reflect" cycle, but you can add many more to fit your needs. Setup Add your own "action" tools: This template provides the thinking framework. To make it useful, you need to give the agent something to do. Add your own tools to the AI Agent, such as a web search tool, a database lookup, or an API call. Customize the thinking tools: Edit the description of the existing Initial thoughts and Additional thoughts tools. Make them relevant to the new action tools you've added. For example, "Plan which of the web search or database tools to use." Update the agent's brain: Modify the system prompt in the main AI Agent node. Tell it about the new action tools you've added and how it should use your customized thinking tools to complete its tasks. Connect your AI model: Select the OpenAI Chat Model node and add your credentials. Taking it further Create more granular thinking steps:** Add more thinking tools for different stages of a process, like a "Hypothesize a solution" tool, a "Verify assumptions" tool, or a "Final answer check" tool. Customize the thought process:* You can change *how the agent thinks by editing the prompt inside the fromAI('Thoughts', ...) field within each tool. You could ask for thoughts in a specific format, like bullet points or a JSON object. Change the workflow trigger:** Switch the chat trigger for a Telegram trigger, email, Slack, whatever you need for your use case! Integrate with memory:** For even more power, combine this framework with a long-term memory solution, allowing the agent to reflect on its thoughts from past conversations.

🧾 Generate Project Summary from meeting transcript Who’s it for 🤝 Project managers looking to automate client meeting summaries Client success teams needing structured deliverables from transcripts Agencies and consultants who want consistent, repeatable documentation How it works / What it does ⚙️ Trigger: Manual or webhook trigger kicks off the workflow. Get meeting transcript: Reads the raw transcript from a specified Google Docs file. Generate summary: Sends transcript + instructions to OpenAI (gpt-4.1-mini) to produce a structured project summary. Convert to HTML: Transforms the LLM-generated Markdown into styled HTML. Prepare request: Wraps HTML and metadata into a multipart request body. Create Google Doc: Uploads the new “Project Summary” document into your Drive folder. How to set up 🛠️ Credentials Google Docs & Drive OAuth2 credentials OpenAI API key (gpt-4.1-mini) Nodes configuration Manual Trigger / webhook node Google Docs “Get meeting transcript” node: set documentURL AI Chat Model node: select gpt-4.1-mini Markdown node: enable tables & emoji Google Drive “CreateGoogleDoc” node: set target folder ID Paste in your IDs Update documentURL to your transcript doc Update google_drive_folder_id in the Set node Execute Click “Execute Workflow” or call via webhook Requirements 📋 n8n Google OAuth2 scopes for Docs & Drive OpenAI account with GPT-4.1-mini access A Google Drive folder to store summaries How to customize ✨ Output format**: Edit the Markdown prompt in the ChainLlm node to adjust headings or tone Timeline section**: Extend LLM prompt template with your own phase table Styling**: Tweak inline CSS in the Code node (Prepare_Request) for fonts or margins Trigger**: Swap Manual Trigger for HTTP/Webhook trigger to integrate with other tools Language model**: Upgrade to a different model by changing model.value in the AI node

How it Works This workflow fetches top news headlines every 10 minutes from NewsAPI, summarizes them using OpenAI's GPT-4o model, and sends a concise email digest to a list of recipients defined in a Google Spreadsheet. It's ideal for anyone who wants to stay updated with the latest news in a short, digestible format. 🎯 Use Case Professionals who want summarized daily news Newsletters or internal communication updates Teams that require contextual summaries of the latest events Setup Instructions 1. Upload the Spreadsheet File name: Emails Column: Email with recipient addresses 2. Configure Google Sheets Nodes Connect your Google account to: Email List Send Email 3. Add API Credentials NewsAPI Key** → for fetching top headlines OpenAI API Key** → for summarizing headlines Gmail Account** → for sending the email digest 4. Activate the Workflow Once active, the workflow runs every 10 minutes via a cron trigger Summarized news is sent to the list of emails in the spreadsheet 🔁 Workflow Logic Trigger: Every 10 minutes via Cron Fetch News: HTTP request to NewsAPI for top headlines Summarize: Headlines are passed to OpenAI's GPT-4o for 5-bullet summary Read Recipients: Google Sheet is used to collect email recipients Send Email: Summary is formatted and sent via Gmail 🧩 Node Descriptions | Node Name | Description | |-----------|-------------| | Cron | Triggers the workflow every 10 minutes. | | HTTP Request - NewsAPI | Fetches top news headlines using NewsAPI. | | Set | Formats or structures raw news data before processing. | | AI Agent | Summarizes the news content using OpenAI into 5 bullet points. | | Email List | Reads recipient email addresses from the 'Emails' Google Spreadsheet. | | Send Email | Sends the email digest to all recipients using Gmail. | 🛠️ Customization Tips Modify the AI prompt for tone, length, or content type Send summaries to Slack, Telegram, or Notion instead of Gmail Adjust cron interval for more/less frequent updates Change email formatting (HTML vs plain text) 📎 Required Files | File Name | Purpose | |-----------|---------| | Emails spreadsheet | Google Sheet containing the list of email recipients | | daily_news.json | Main n8n workflow file to automate daily news digest | 🧪 Testing Tips Add 1–2 test email addresses in your spreadsheet Temporarily change the Cron node to run every minute for testing Check email inbox for delivery and formatting Inspect the execution logs for API errors or formatting issues 🏷 Suggested Tags & Categories #News #OpenAI #Automation #Email #Digest #Marketing

Daily Email Pulse Summary: This agent summarizes a user's daily emails into a clean, actionable summary. It uses OpenAI to analyze content and sends a formatted "Daily Pulse" email at the end of each day. Main use cases: Keep track of open loops and next steps across all email conversations Identify high-potential leads and flag conversations going nowhere Eliminate the need to manually review your inbox at day’s end Build a smart summary layer using AI without hallucination or noise How it works This workflow can be divided into eight core nodes, each serving a distinct purpose in helping a user stay on top of their day. The result is a curated, AI-generated summary delivered to your inbox — crafted from real message content, not guesswork. Schedule Trigger (Trigger Node – Runs Daily at Set Time) Kicks off the workflow at a specific time each day (e.g. 6:00 PM). Ensures you receive your Daily Pulse consistently, without needing to run it manually. Date Transformer (Function Node – Define Today & Tomorrow Range) Uses JavaScript to calculate the current day’s date range: today: Start of day (00:00:00) tomorrow: Start of next day (used as a cutoff) This ensures only emails from today are analyzed, keeping the summary focused and current. Get All Messages (Gmail Node – Fetch Filtered Emails) Pulls in all Gmail messages with internalDate between today and tomorrow. Outputs structured data: from, subject, and body text of each email. This forms the raw data for the daily business pulse. Aggregator (Function or Item Lists Node – Combine Message Fields) Aggregates each message into a readable format: From: John@example.com Subject: Demo Follow-up Body: Let’s schedule a time this week... All messages are stitched together into a single combinedText string for analysis. This gives the AI model full context for the day in one unified document. Email Cleanup (Function Node – Remove Noise & Normalize Text) Cleans the combinedText blob to remove: HTML tags Marketing footers (e.g., unsubscribe links) Redundant whitespace or formatting artifacts Ensures GPT gets clean, relevant message content with no distractions. Agent (OpenAI Node – Generate Structured Summary) Uses a System Prompt to define its role as an AI Chief of Staff. Uses a User Prompt that instructs it to categorize messages into sections: 📝 Open Loops / Pending Follow-Up 🚀 Next Steps You’ve Committed To 🧲 Leads Worth Following Up On 🛑 Conversations That Aren’t Leading Anywhere 🧠 Strategy Notes ✅ Top 3 Tasks for Tomorrow Built-in guardrails ensure the model only uses real content (no hallucination). Sections with no relevant data are omitted to keep it concise. HTML Formatter (Function Node – Wrap Markdown in Email-Ready HTML) Wraps the GPT-generated markdown summary in a simple <html><body> structure. Applies white-space: pre-wrap to preserve formatting and spacing. The result is a clean, readable email that renders well across all inboxes (especially Gmail). Email Send (Email Node – Deliver the Final Pulse) Sends the formatted summary to your email inbox. Subject: Your Daily Business Pulse – {{today}} HTML body: Uses the formatted output from the previous step. Final output: a well-organized, scannable summary of the day’s communication — focused on what matters. Why It Works Automates the end-of-day review ritual without effort Prioritizes follow-ups, action items, and time-sensitive leads Filters out noise and low-value conversations Leverages GPT without risk of hallucination or irrelevant output Delivers clarity, helping you focus on tomorrow’s most important tasks