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Who it's for This workflow is for professionals and small business owners who receive a high volume of emails and want to automate triage, labeling, and draft reply generation — without losing the human touch before sending. How it works 1…
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This workflow is for professionals and small business owners who receive a high volume of emails and want to automate triage, labeling, and draft reply generation — without losing the human touch before sending.
Remove Label from Thread, Get label for response, and Labelliser to match your Gmail labelsBuild HTML Signature code nodeFetch Email Details (Gmail): Sends or reads email through Gmail.
Add Label to Email (Gmail): Sends or reads email through Gmail.
When New Email Arrives (Gmail Trigger): Starts the workflow when a new email arrives in Gmail.
Send Response Email (Gmail): Sends or reads email through Gmail.
Filter Valid Label (Filter): Keeps only the items that match a condition and discards the rest.
Draft and Label Agent (Agent): The AI agent that orchestrates the workflow — it reasons over the input and decides which tools to call.
Send Draft Email (Gmail): Sends or reads email through Gmail.
Route by Draft Type (Switch): Routes the workflow down one of several paths based on a value.
Build HTML Signature (Code): Runs custom JavaScript to transform or manipulate the data flowing through the workflow.
Get Current Date (Code): Runs custom JavaScript to transform or manipulate the data flowing through the workflow.
Remove Label from Thread (Gmail): Sends or reads email through Gmail.
Google Calendar Tool (Google Calendar Tool): Lets the AI agent read or create Google Calendar events as a tool.
Gemini Chat Model (LLM Chat Google Gemini): Provides Google Gemini as the chat model for the AI steps.
Gmail Thread Tool (Gmail Tool): Lets the AI agent send email via Gmail as a callable tool.
Structured Output Parser (Output Parser Structured): Forces the AI output into a structured JSON schema for reliable downstream use.
Mark Email as Unread (Gmail): Sends or reads email through Gmail.
Want to check out all my flows, follow me on: https://maxmitcham.substack.com/ https://www.linkedin.com/in/max-mitcham/ Email Manager - Intelligent Gmail Classification This automation flow is designed to automatically monitor incoming Gmail messages, analyze their content and context using AI, and intelligently classify them with appropriate labels for better email organization and prioritization. How It Works (Step-by-Step): 1. Gmail Monitoring (Trigger) Continuously monitors your Gmail inbox: `` Polls for new emails every minute Captures all incoming messages automatically Triggers workflow for each new email received ` 2. Email Content Extraction Retrieves complete email details: ` Full email body and headers Sender information and recipient lists Subject line and metadata Existing Gmail labels and categories Email threading information (replies/forwards) ` 3. Email History Analysis AI agent checks relationship context: ` Searches for previous emails from the same sender Checks sent folder for prior outbound correspondence Determines if this is a first-time contact (cold email) Analyzes conversation thread history ` 4. Intelligent Classification Agent Advanced AI categorization using: ` Claude Sonnet 4 for sophisticated email analysis Context-aware classification based on email history Content analysis for intent and urgency detection Header analysis for automated vs. human-sent emails ` 5. Smart Label Assignment Automatically applies appropriate Gmail labels: ` To Respond: Requires direct action/reply FYI: For awareness, no action needed Notification: Service updates, policy changes Marketing: Promotional content and sales pitches Meeting Update: Calendar-related communications Comment: Document/task feedback ` 6. Structured Processing Ensures consistent labeling: ` Uses structured output parsing for reliability Returns specific Label ID for Gmail integration Applies label automatically to the email Maintains classification accuracy ` Tools Used: ` n8n: Workflow automation platform Gmail API: Email monitoring and label management Anthropic Claude: Advanced email content analysis Gmail Tools: Email history checking and search Structured Output Parser: Consistent AI responses ` Key Features: ` Real-time email monitoring and classification Context-aware analysis using email history Intelligent cold vs. warm email detection Multiple classification categories for organization Automatic Gmail label application Header analysis for automated email detection Thread-aware conversation tracking ` Ideal Use Cases: ` Busy executives managing high email volumes Sales professionals prioritizing prospect communications Support teams organizing customer inquiries Marketing teams filtering promotional content Anyone wanting automated email organization Teams needing consistent email prioritization ``
by Max MitchamGood to know: This workflow automatically processes incoming emails (you can filter them base on your needs) and creates concise AI-powered summaries, then logs them to a Google Sheets spreadsheet for easy tracking and analysis. Who is this for? Business professionals who receive many emails and need quick summaries Customer service teams tracking email communications Project managers monitoring email correspondence Anyone who wants to automatically organize and summarize their email communications What problem is this workflow solving? This workflow solves the problem of email overload by automatically reading incoming emails, generating concise summaries using AI, and organizing them in a structured format. It eliminates the need to manually read through every email to understand the key points and maintains a searchable record of communications. What this workflow does: Monitors your Gmail inbox for new emails Filters emails based on specific criteria (sender validation) Extracts key information (sender, date, subject, content) Uses AI to generate concise summaries of email content Automatically logs all data including the AI summary to a Google Sheets spreadsheet How it works: 1Gmail trigger monitors for new emails at specified intervals 2Email data is processed and formatted using JavaScript 3A conditional check validates the sender 4AI agent (powered by Groq's language model) reads the email content and generates a summary 5All information is automatically appended to a Google Sheets document How to use: Set up Gmail OAuth2 credentials in n8n Configure Google Sheets OAuth2 credentials Set up Groq API credentials for AI processing Create a Google Sheets document and update the document ID Customize the sender validation criteria as needed Activate the workflow Requirements: n8n instance (cloud or self-hosted) Gmail account with OAuth2 access Google Sheets account AI API Basic understanding of n8n workflow Customizing this workflow: Modify the Gmail trigger filters to target specific labels or criteria Adjust the sender validation logic in the conditional node Customize the AI prompt to change summary style or focus Add additional data fields to the Google Sheets output Change the polling frequency for checking new emails Switch to different AI models by replacing the Groq node
by ARREThis workflow contains community nodes that are only compatible with the self-hosted version of n8n. This workflow automatically monitors keyword rankings across search engines to track SEO performance and identify optimization opportunities. It saves you time by eliminating the need to manually check keyword positions and provides comprehensive ranking data for strategic SEO decision making. Overview This workflow automatically scrapes search engine results pages (SERPs) to track keyword rankings, competitor positions, and search features. It uses Bright Data to access search results without restrictions and AI to intelligently parse ranking data, track changes, and identify SEO opportunities. Tools Used n8n: The automation platform that orchestrates the workflow Bright Data: For scraping search engine results without being blocked OpenAI: AI agent for intelligent ranking analysis and SEO insights Google Sheets: For storing keyword ranking data and tracking changes How to Install 1. Import the Workflow: Download the .json file and import it into your n8n instance 2. Configure Bright Data: Add your Bright Data credentials to the MCP Client node 3. Set Up OpenAI: Configure your OpenAI API credentials 4. Configure Google Sheets: Connect your Google Sheets account and set up your ranking tracking spreadsheet 5. Customize: Define target keywords and ranking monitoring parameters Use Cases SEO Teams: Track keyword performance and identify ranking improvements Content Marketing: Monitor content ranking success and optimization needs Competitive Analysis: Track competitor keyword rankings and strategies Digital Marketing: Measure organic search performance and ROI Connect with Me Website: https://www.nofluff.online YouTube: https://www.youtube.com/@YaronBeen/videos LinkedIn: https://www.linkedin.com/in/yaronbeen/ Get Bright Data: https://get.brightdata.com/1tndi4600b25 (Using this link supports my free workflows with a small commission) #n8n #automation #keywordrankings #seo #searchrankings #brightdata #webscraping #seotools #n8nworkflow #workflow #nocode #ranktracking #keywordmonitoring #seoautomation #searchmarketing #organicseo #seoresearch #rankinganalysis #keywordanalysis #searchengines #seomonitoring #digitalmarketing #serp #keywordtracking #seoanalytics #searchoptimization #rankingreports #keywordresearch #seoinsights #searchperformance
by Yaron BeenMaster Your First AI Email Agent with Smart Fallback! Welcome to your hands-on guide for building a resilient, intelligent email support system in n8n! This workflow is specifically designed as an educational tool to help you understand advanced AI automation concepts in a practical, easy-to-follow way. --- What You'll Learn & Build: This powerful template enables you to create an automated email support agent that: Monitors Gmail for new customer inquiries in real-time. Processes requests using a primary AI model (Google Gemini) for efficiency. Intelligently falls back to a secondary AI model (OpenAI GPT) if the primary model fails or for more complex queries, ensuring robust reliability. Generates personalized and helpful replies automatically. Logs every interaction meticulously to a Google Sheet for easy tracking and analysis. --- Why a Fallback Model is Game-Changing (and Why You Should Learn It): Unmatched Reliability (99.9% Uptime): If one AI service experiences an outage or rate limits, your automation seamlessly switches to another, ensuring no customer email goes unanswered. Cost Optimization: Leverage more affordable models (like Gemini) for standard queries, reserving premium models (like GPT) only when truly needed, significantly reducing your API costs. Superior Quality Assurance: Get the best of both worlds – the speed of cost-effective models combined with the accuracy of more powerful ones for complex scenarios. Real-World Application: This isn't just theory; it's a critical pattern for building resilient, production-ready AI systems. --- Perfect for Beginners & Aspiring Automators: Simple Setup: With drag-and-drop design and pre-built integrations, you can get this workflow running with minimal configuration. Just add your API keys! Clear Educational Value: Learn core concepts like AI model orchestration strategies, customer service automation best practices, and multi-model AI implementation patterns. Immediate Results: See your AI agent in action, responding to emails and logging data within minutes of setup. --- Getting Started Checklist: To use this workflow, you'll need: A Gmail account with API access enabled. A Google Sheets document created for logging. A Gemini API key (your primary AI model). An OpenAI API key (your fallback AI model). An n8n instance (cloud or desktop). --- Embark on your journey to building intelligent, resilient automation systems today!
by David Olusola