AI Personal Assistant
Email Personal Assistant - Comprehensive Communication Manager This automation flow is designed to proactively monitor email, calendar, and Slack communications, analyze priorities across all channels, and generate a comprehensive daily briefing with actionable tasks for executive productivity management. ⚙️ How It Works (Step-by-Step): ⏰ Automated Daily Trigger Runs automatically on weekdays: Scheduled execution every weekday at 8:00 AM Manual trigger available for on-demand analysis Comprehensive daily communication audit 📧 Email Assistant Agent Analyzes inbox priorities and context: Scans unread emails across "To Respond" and "FYI" labels Checks email history to determine relationship context Identifies *company-related opportunities and partnerships Categorizes emails by urgency (High, Medium, Low) Cross-references with sent emails for follow-up context 📅 Follow-Up Assistant Agent Monitors meeting follow-up requirements: Reviews last 3 days of calendar meetings Fetches Fireflies transcripts for recorded sessions Identifies meetings without post-meeting communication Flags meetings requiring action items or follow-ups Checks sent emails and Slack for completed follow-ups 💬 Slack Assistant Agent Tracks Slack communication priorities: Monitors direct messages and @mentions Identifies unreplied Slack conversations Cross-references with email and calendar context Prioritizes responses based on sender importance Checks for threaded conversations requiring attention 🎯 Master Orchestrator Agent Synthesizes all communication data: Combines reports from all three assistant agents Cross-references with existing Google Sheets to-do list Prioritizes tasks by urgency and business impact Identifies correlations between different communication channels Creates comprehensive daily action plan 📊 Task Management Integration Automated tracking and delivery: Appends new tasks to Google Sheets to-do tracker Sends personalized daily briefing via Slack DM Maintains conversation memory for context continuity Tracks outstanding vs. completed items 🛠️ Tools Used: n8n: Workflow orchestration and scheduling Claude Sonnet 4 & Opus 4: Multi-agent AI analysis Gmail API: Email monitoring and history checking Google Calendar: Meeting tracking and scheduling Slack API: Message monitoring and user management Fireflies API: Meeting transcript analysis Google Sheets: Task tracking and persistence 📦 Key Features: Multi-channel communication monitoring (Email, Calendar, Slack) AI-powered priority assessment and context analysis Cross-platform relationship tracking and history Automated daily briefing generation and delivery Persistent task tracking with Google Sheets integration Meeting follow-up verification and flagging Conversation memory for continuity across sessions 🚀 Ideal Use Cases: C-level executives managing multiple communication channels Sales leaders tracking prospect interactions and follow-ups Business development professionals managing partnerships Busy professionals needing communication prioritization Teams requiring systematic follow-up management Anyone wanting automated daily productivity briefings
By Max MitchamAutomated job applications & status tracking with LinkedIn, Indeed & Google Sheets
Apply to jobs automatically from Google Sheets with status tracking Who's it for Job seekers who want to streamline their application process, save time on repetitive tasks, and never miss following up on applications. Perfect for anyone managing multiple job applications across different platforms. What it does This workflow automatically applies to jobs from a Google Sheet, tracks application status, and keeps you updated with notifications. It handles the entire application lifecycle from submission to status monitoring. Key features: Reads job listings from Google Sheets with filtering by priority and status Automatically applies to jobs on LinkedIn, Indeed, and other platforms Updates application status in real-time Checks application status every 2 days and notifies you of changes Sends email notifications for successful applications and status updates Prevents duplicate applications and manages rate limiting How it works The workflow runs on two main schedules: Daily Application Process (9 AM, weekdays): Reads your job list from Google Sheets Filters for jobs marked as "Not Applied" with Medium/High priority Processes each job individually to prevent rate limiting Applies to jobs using platform-specific APIs (LinkedIn, Indeed, etc.) Updates the sheet with application status and reference ID Sends confirmation email for each application Status Monitoring (Every 2 days at 10 AM): Checks all jobs with "Applied" status Queries job platforms for application status updates Updates the sheet if status has changed Sends notification emails for status changes (interviews, rejections, etc.) Requirements Google account with Google Sheets access Gmail account for notifications Resume stored online (Google Drive, Dropbox, etc.) API access to job platforms (LinkedIn, Indeed) - optional for basic version n8n instance (self-hosted or cloud) How to set up Step 1: Create Your Job Tracking Sheet Create a Google Sheet with these exact column headers: | JobID | Company | Position | Status | AppliedDate | LastChecked | ApplicationID | Notes | Job_URL | Priority | |--------|---------|----------|--------|--------------|--------------|----------------|-------|---------|----------| | JOB001 | Google | Software Engineer | Not Applied | | | | | https://careers.google.com/jobs/123 | High | | JOB002 | Microsoft | Product Manager | Not Applied | | | | | https://careers.microsoft.com/jobs/456 | Medium | Column explanations: Job_ID: Unique identifier (JOB001, JOB002, etc.) Company: Company name Position: Job title Status: Not Applied, Applied, Under Review, Interview Scheduled, Rejected, Offer Applied_Date: Auto-filled when application is submitted Last_Checked: Auto-updated during status checks Application_ID: Platform reference ID (auto-generated) Notes: Additional information or application notes Job_URL: Direct link to job posting Priority: High, Medium, Low (Low priority jobs are skipped) Step 2: Configure Google Sheets Access In n8n, go to Credentials → Add Credential Select Google Sheets OAuth2 API Follow the OAuth setup process to authorize n8n Test the connection with your job tracking sheet Step 3: Set Up Gmail Notifications Add another credential for Gmail OAuth2 API Authorize n8n to send emails from your Gmail account Test by sending a sample email Step 4: Update Workflow Configuration In the "Set Configuration" node, update these values: spreadsheetId: Your Google Sheet ID (found in the URL) resumeUrl: Direct link to your resume (make sure it's publicly accessible) yourEmail: Your email address for notifications coverLetterTemplate: Customize your cover letter template Step 5: Customize Application Logic For basic version (no API access): The workflow includes placeholder HTTP requests that you can replace with actual job platform integrations. For advanced version (with API access): Replace LinkedIn/Indeed HTTP nodes with actual API calls Add your API credentials to n8n's credential store Update the platform detection logic for additional job boards Step 6: Test and Activate Add 1-2 test jobs to your sheet with "Not Applied" status Run the workflow manually to test Check that the sheet gets updated and you receive notifications Activate the workflow to run automatically How to customize the workflow Adding New Job Platforms Update Platform Detection: Modify the "Check Platform Type" node to recognize new job board URLs Add New Application Node: Create HTTP request nodes for new platforms Update Status Checking: Add status check logic for the new platform Customizing Application Strategy Rate Limiting: Add "Wait" nodes between applications (recommended: 5-10 minutes) Application Timing: Modify the cron schedule to apply during optimal hours Priority Filtering: Adjust the filter conditions to match your criteria Multiple Resumes: Use conditional logic to select different resumes based on job type Enhanced Notifications Slack Integration: Replace Gmail nodes with Slack for team notifications Discord Webhooks: Send updates to Discord channels SMS Notifications: Use Twilio for urgent status updates Dashboard Updates: Connect to Notion, Airtable, or other productivity tools Advanced Features AI-Powered Personalization: Use OpenAI to generate custom cover letters Job Scoring: Implement scoring logic based on job requirements vs. your skills Interview Scheduling: Auto-schedule interviews when status changes Follow-up Automation: Send follow-up emails after specific time periods Important Notes Platform Compliance Always respect rate limits to avoid being blocked Follow each platform's Terms of Service Use official APIs when available instead of web scraping Don't spam job boards with excessive applications Data Privacy Store credentials securely using n8n's credential store Don't hardcode API keys or personal information in nodes Regularly review and clean up old application data Ensure your resume link is secure but accessible Quality Control Start with a small number of jobs to test the workflow Review application success rates and adjust strategy Monitor for errors and set up proper error handling Keep your job list updated and remove expired postings This workflow transforms job searching from a manual, time-consuming process into an automated system that maximizes your application efficiency while maintaining quality and compliance.
By VipinWAi prompt generator workflow
🧠 AI Prompt Generator Workflow – n8n Documentation Who is this for? This workflow is for AI builders, prompt engineers, developers, marketers, and no-code creators who want to convert rough user input into structured, high-quality prompts for LLMs. It’s especially useful for tools that rely on precision prompting and want to automate the discovery of intent and constraints. --- What problem is this workflow solving? / Use case Many users struggle to write effective prompts due to vague ideas or unclear formatting needs. This workflow: Collects structured user input. Dynamically generates clarifying questions. Returns a well-formatted AI prompt based on the user's intent and context. This ensures the generated prompt is useful for downstream AI agents without requiring technical understanding from the end user. --- What this workflow does Start with a branded form UI The user is shown a styled form with questions like: What do you want to build? What tools can you access? What input can be expected? What output do you expect? Analyze and generate relevant follow-up questions The workflow sends the user's answers to Google Gemini (via LangChain) which outputs 1–3 clarifying questions. These questions are parsed into a dynamic form. Loop through and collect follow-up answers Each follow-up question is shown in a form one at a time to capture additional context. Merge all inputs The base intent and follow-up responses are merged into a single context block. Generate a final AI-ready prompt The prompt generator node formats everything into a clean, six-section structure: <constraints> <role> <inputs> <tools> <instructions> <conclusions> Display the final result The finished prompt is shown in a clean UI where users can easily copy and reuse it. --- Setup Credentials Required Google Gemini (PaLM) API credentials (already integrated as Google Gemini(PaLM) Api account 2). Form Trigger Ensure the On form submission trigger is exposed via a webhook or public endpoint (e.g. using ngrok or deployed server). Styling Custom CSS is included in all form nodes for a beautiful UI. You can modify this to match your branding. Environment This workflow is compatible with self-hosted n8n or n8n.cloud. Webhooks must be accessible to users who will fill out the form. --- How to customize this workflow to your needs Change the base questions Update the BaseQuestions form node to add or remove fields depending on your use case. Modify Gemini prompts You can edit the system prompt inside PromptGenerator to change tone, output structure, or AI instructions. Change prompt formatting If you use a different AI agent (like GPT, Claude, or Mistral), adjust the section labels and formatting to suit that agent’s expected input. Send results elsewhere Add integration nodes after PromptGenerator, such as: Google Docs / Notion (to log prompts) Gmail / Slack (to notify your team) Zapier / Make (to push to other automation flows) Skip follow-up questions (optional) If your base form collects all needed info, you can bypass the RelevantQuestions form section by modifying conditional logic. --- Example Output Prompt (Structure) <role> You are an AI assistant that converts videos into LinkedIn posts with a witty tone. </role> <inputs> - A short video (max 5 minutes) - Desired tone: witty - Style: both summary and quotes - Audience: general network </inputs> <tools> You do not have access to APIs or web search. </tools> <instructions> 1. Parse transcript. 2. Extract insights and quotes. 3. Write an engaging, witty LinkedIn post under 3000 characters. </instructions> <constraints> Avoid technical jargon. No generic intros. Make it platform-native. </constraints> <conclusions> Return a LinkedIn-ready post that starts with a hook and ends with hashtags.
By Anurag SrivastavaVoice agent for dental appointment booking with Gemini AI
This workflow contains community nodes that are only compatible with the self-hosted version of n8n. AI dental appointment booking with Google Calendar and Sheets Who's it for This workflow is perfect for dental practices, medical offices, and healthcare providers who want to automate their appointment scheduling process. It's ideal for practices that receive high volumes of appointment requests and want to reduce manual booking while maintaining accurate patient records. What it does This AI-powered voice agent handles complete appointment booking workflows for "Pearly Whites Dental." When patients call or submit requests, the system: Analyzes the request using Google Gemini AI to understand patient needs Checks calendar availability in real-time via Google Calendar integration Automatically finds and offers up to 2 available appointment slots when the preferred time isn't available Books confirmed appointments directly to the practice calendar Logs all patient information (name, insurance, concerns) to Google Sheets for record-keeping Maintains conversation context across interactions for natural dialogue flow The workflow operates in Central Time Zone and assumes standard business hours (8 AM - 5 PM, excluding lunch). How it works The system receives webhook requests containing patient interaction data. The AI agent processes this information and determines which tools to use based on the request type. For availability checks, it intelligently searches multiple time slots in 30-minute increments until finding suitable options. All appointments are automatically formatted as "Dental Appointment | [Patient Name]" and logged with complete patient details. Requirements Google Calendar API access with OAuth2 credentials Google Sheets API access for patient data logging Google Gemini API key for AI processing Webhook endpoint for receiving requests Pre-configured Google Calendar and Sheets document How to set up Configure Google Calendar credentials in the calendar tool nodes Set up Google Sheets integration with your patient tracking spreadsheet Add your Google Gemini API key to the language model node Update the calendar ID in both calendar nodes to match your practice calendar Modify the Google Sheets document ID to point to your patient records sheet Test the webhook endpoint to ensure proper request processing How to customize the workflow Adjust business hours by modifying the availability checking logic in the system prompt Change appointment duration by updating the end time calculation (currently set to 1 hour) Modify patient data fields by updating the Google Sheets column mapping Update practice name by changing "Pearly Whites Dental" references in the system prompt Customize response format by adjusting the AI agent's instructions for different appointment types
By Lucas WalterSimple expense tracker with n8n chat, AI agent and Google Sheets
Use Case It is very convenient to add expenses via simple chat message. This workflow attempts to do exactly this using AI-powered n8n magic! Send message to a chat, something like "car wash; 59.3 usd; 25 jan 2024" And get a response: Your expense saved, here is the output of save sub-workflow:{"cost":59.3,"descr":"car wash","date":"2024-01-25","msg":"car wash; 59.3 usd; 25 jan 2024"} LLM will smartly parse your message to structured JSON and save the expense as a new row into Google Sheet! Installation Set up Google Sheets: Clone this Sheet: https://docs.google.com/spreadsheets/d/1D0r3tun7LF7Ypb21CmbTKEtn76WE-kaHvBCM5NdgiPU/edit?gid=0gid=0 (File -> Make a copy) Choose this sheet into "Save expense into Google Sheets" node. Fix sub-workflow dropdown: open "Parse msg and save to Sheets" node (which is an n8n sub-workflow executor tool) and make sure the SAME workflow is chosen in the dropdown. it will allow n8n to locate and call "Workflow Input Trigger" properly when needed. Activate the workflow to make chat work properly. Sent message to chat, something like "car wash; 59.3 usd; 25 jan 2024" you should get a response: Your expense saved, here is the output of save sub-workflow:{"cost":59.3,"descr":"car wash","date":"2024-01-25","msg":"car wash; 59.3 usd; 25 jan 2024"} and new row in Google sheets should be inserted!
By AnthonyGet all Excel workbooks
Companion workflow for Excel node docs
By amudhanGet information of an image
Companion workflow for Edit Image node docs
By amudhanAI email organizer for GMail - advanced email management & sorting
Video Introduction [](https://www.youtube.com/watch?v=BQARyWMD_lU) Want to automate your inbox or need a custom workflow? 📞 Book a Call | 💬 DM me on Linkedin --- Transform your messy inbox into a calm, organized command center - in minutes - using this ready-to-use n8n automation! Tired of your Gmail looking like this? With this template, you can have this instead: --- What does this automation do? AI-powered categorization: Every new email is analyzed with OpenRouter AI and sorted into categories you define (like Orders, Support, Invoices, Urgent, etc.). Instant color-coded labels: The workflow creates and applies Gmail labels with custom colors, so you can spot important messages at a glance. Supports Gmail’s Multiple Inboxes: Display different categories in their own sections—see what matters most right away. Flexible and customizable: You control the categories and definitions using a simple Google Sheet. --- How it works – Step by Step See the full setup & demo: [](https://www.youtube.com/watch?v=BQARyWMD_lU) Copy the Template Open the n8n workflow template and click Use for free. Log in (or sign up) for n8n Cloud for the quickest start. Customize Your Categories in Google Sheets Use the provided Google Sheets template linked in the workflow notes. Go to File → Make a copy to your own Drive. Edit the categories and their definitions for your business. Example: Add categories like “Existing Order Questions,” define each one to guide the AI, and copy your Google Sheet’s URL into the workflow config node. Connect AI with OpenRouter Go to OpenRouter.ai, log in, and generate a new API key. Paste your API key into the workflow where prompted. Test and Activate the Workflow Connect your Gmail account to n8n. Hit “Test Workflow”—watch as the AI processes your latest emails and applies labels automatically. Labels will appear instantly in Gmail, and any missing ones are created by the automation. Schedule Automatic Runs Switch workflow status to Active in n8n. Set the scheduler trigger—most people use hourly, but you can use crontab.guru for custom times (like only business hours). --- Tips for Best Results Color Code Your Labels: In Gmail, you can assign colors to labels—set high-priority categories (like “Customer Complaints”) to a bright color to stand out. Upgrade Your Gmail View: Enable Multiple Inboxes in Gmail’s settings and set up sections for your key categories. Example search queries: in:inbox label:customer-complaints OR label:urgent-emails in:inbox label:existing-order-questions in:inbox label:support-requests --- Why Use This? Get rid of inbox chaos for good - no more lost emails or missed deadlines Fully customize the system to your business with just a Google Sheet Works with zero coding - set up in 10-15 minutes Flexible: add auto-replies, draft suggestions, and more as you grow
By Milan Vasarhelyi - SmoothWork🉑 Generate Anki flash cards for language learning with Google Translate and GPT
Context Hey! I'm Samir, a Supply Chain Data Scientist from Paris who spent six years in China studying and working while struggling to learn Mandarin. I know the challenges of mastering a complex language like Chinese and my greatest support was flash cards. Therefore, I designed this workflow to support fellow Mandarin learners by automating flashcard creation using n8n, so they can focus more on learning and less on manual data entry. 📬 For business inquiries, you can add me on Here Who is this template for? This workflow template is designed for language learners and educators who want to automate the creation of flashcards for Mandarin (or any other language) using Google Translate API, an AI agent for phonetic transcription and generating an illustrative sentence and a free image retrieval API. Why? If you use the open-source application Anki, this workflow will help you automatically generate personalized study materials. How? Let us imagine you want to learn how to say the word Contract in Mandarin. The workflow will automatically Translate the word in Simplified Mandarin (Mandarin: 合同). Provide the phonetic transcription (Pinyin: Hétóng) Generate an example sentence (Example: 我们签订了一份合同.) Download an illustrative picture (For example, a picture of a contract signature) All these fields are automatically recorded in a Google Sheet, making it easy to import into Anki and generate flashcards instantly What do I need to start? This workflow can be used with the free tier plans of the services used. It does not require any advanced programming skills. Prerequisite A Google Drive Account with a folder including a Google Sheet API Credentials: Google Drive API, Google Sheets API and Google Translate API activated with OAuth2 credentials A free API key of pexels.com A google sheet with the columns Next Follow the sticky notes to set up the parameters inside each node and get ready to pump your learning skills. I have detailed the steps in a short tutorial 👇 [](https://youtu.be/2mRZJATUTDw) 🎥 Check My Tutorial Notes This workflow can be used for any language. In the AI Agent prompt, you just need to replace the word pinyin with phonetic transcription. You can adapt the trigger to operate the workflow in the way you want. These operations can be performed by batch or triggered by Telegram, email, or webhook. If you want to learn more about how I used Anki flash cards to learn mandarin: 🈷️ Blog Article about Anki Flash Cards This workflow has been created with N8N 1.82.1 Submitted: March 17th, 2025
By Samir SaciAutomate UGC video creation with Gemini and Google Veo 3 & upload to Instagram via Postiz
🎥🤖 This workflow automates the creation and publishing of UGC (User-Generated Content) videos using Google Gemini and Google Veo 3, then uploads them directly to Instagram with Postiz. --- Advantages ✅ Full Automation – Eliminates manual video editing, caption writing, and uploading. ✅ High-Quality UGC Videos – Leverages Google Veo 3 for professional ad-like video generation. ✅ AI-Powered Creativity – Uses Google Gemini for both creative direction and social media copywriting. ✅ Time-Saving – From image to published Instagram post in a single automated flow. ✅ Consistency – Ensures branding and messaging remain aligned across campaigns. ✅ Scalability – Can easily generate multiple UGC ads for different products. ✅ Centralized Management – Stores videos in Google Drive and distributes them via Postiz. --- How It Works Image Analysis & Creative Briefing: The workflow starts with a predefined product image. This image is analyzed by Google Gemini, which acts as a "Creative Director" to generate a detailed, cinematic prompt describing an 8-second commercial scene based on the image's content. Parallel AI Task Execution: The creative director's prompt is then sent to two different AI agents simultaneously: Video Generation: One agent uses the prompt with Google Veo 3 to generate the actual video file, visualizing the described scene. Copywriting: The other agent, acting as a "Social Media Manager," uses the same prompt to generate compelling caption copy tailored for an Instagram audience. Asset Distribution & Publishing: The generated video is uploaded to two destinations: Google Drive for storage and the Postiz API for social media management. The AI-generated caption is prepared. Finally, all data (video information from Postiz and the caption) is merged and sent to the Postiz node, which schedules and publishes the video as a post to the connected Instagram account. --- Set Up Steps To use this workflow, you need to configure the following credentials and node settings in n8n: Image Source: In the "Set image" node, replace the default image_url value with the URL of your own product image. Google Gemini Credentials: The workflow uses three Gemini nodes. Ensure your Google Gemini API credentials (named "Google Gemini(PaLM) (Eure)" in this example) are correctly set up and have access to the specified models (gemini-2.5-pro and veo-3.0-generate-preview). Google Drive Credentials: Configure the "Upload video" node with valid Google Drive OAuth credentials. Update the folderId parameter if you wish to save the generated videos to a different folder in your Drive. Postiz Credentials: The "Upload Video to Postiz" and "Instagram" nodes require valid credentials for the Postiz API. You must have an active Postiz account and have connected your Instagram business account to it within the Postiz platform. Postiz Integration ID: In the "Instagram" node, the integrationId field is specific to a connected social account within a Postiz account. You must replace this value with your own Instagram integration ID from Postiz. (Optional) Video Parameters: You can adjust the video generation aspect ratio (e.g., 9:16 for Stories/Reels) in the options of the "Generate UGC Video" node. --- Need help customizing? Contact me for consulting and support or add me on Linkedin.
By DavideEvaluation metric example: RAG document relevance
AI evaluation in n8n This is a template for n8n's evaluation feature. Evaluation is a technique for getting confidence that your AI workflow performs reliably, by running a test dataset containing different inputs through the workflow. By calculating a metric (score) for each input, you can see where the workflow is performing well and where it isn't. How it works This template shows how to calculate a workflow evaluation metric: retrieved document relevance (i.e. whether the information retrieved from a vector store is relevant to the question). The workflow takes a question and checks whether the information retrieved to answer it is relevant. To run this workflow, you need to insert documents into a vector data store, so that they can be retrieved by the agent to answer questions. You can do this by running the top part of the workflow once. The main workflow works as follows: We use an evaluation trigger to read in our dataset It is wired up in parallel with the regular trigger so that the workflow can be started from either one. More info We make sure that the agent outputs the list data from the tools that it used If we’re evaluating (i.e. the execution started from the evaluation trigger), we calculate the relevance metric using AI to compare the retrieved documents with the question We pass this information back to n8n as a metric If we’re not evaluating we avoid calculating the metric, to reduce cost
By David RobertsDetect hallucinations using specialised Ollama model bespoke-minicheck
Fact-Checking Workflow Documentation Overview This workflow is designed for automated fact-checking of texts. It uses AI models to compare a given text with a list of facts and identify potential discrepancies or hallucinations. Components Input The workflow can be initiated in two ways: a) Manually via the "When clicking 'Test workflow'" trigger b) By calling from another workflow via the "When Executed by Another Workflow" trigger Required inputs: facts: A list of verified facts text: The text to be checked Text Preparation The "Code" node splits the input text into individual sentences Takes into account date specifications and list elements Fact Checking Each sentence is individually compared with the given facts Uses the "bespoke-minicheck" Ollama model for verification The model responds with "Yes" or "No" for each sentence Filtering and Aggregation Sentences marked as "No" (not fact-based) are filtered The filtered results are aggregated Summary A larger language model (Qwen2.5) creates a summary of the results The summary contains: Number of incorrect factual statements List of incorrect statements Final assessment of the article's accuracy Usage Ensure the "bespoke-minicheck" model is installed in Ollama (ollama pull bespoke-minicheck) Prepare a list of verified facts Enter the text to be checked Start the workflow The results are output as a structured summary Notes The workflow ignores small talk and focuses on verifiable factual statements Accuracy depends on the quality of the provided facts and the performance of the AI models Customization Options The summarization function can be adjusted or removed to return only the raw data of the issues found The AI models used can be exchanged if needed This workflow provides an efficient method for automated fact-checking and can be easily integrated into larger systems or editorial workflows.
By Guido Zockoll