Workflow Templates

Build a Weekly AI Trend Alerter with arXiv and Weaviate Ditch the endless scroll for AI trends. Meet Archi, your personal AI research assistant that hits you up once a week with everyone you need to know. 🧑🏽‍🔬 This workflow scrapes AI and machine learning article abstracts from arXiv, enriches them with topic categories using a LLM, and embeds them in a Weaviate vector store. The vector store is then used as a tool for agentic RAG to write a concise, easy-to-read summary of the week in AI research. The final output is a short, weekly email sent to the address of your choice that summarizes key AI research trends and future research directions, with links directly to the most interesting and impactful arXiv papers of the week. Who it's for This workflow is for anyone who can't keep up with all the latest AI advances. Coding skills are not required. How it works This is a contiguous workflow that can be summarized in two main parts: a data pipeline that fetches and embeds articles in Weaviate, and an agentic workflow that generates a weekly email summary. Part 1: Automatically fetch newly published articles on a weekly basis Fetch article abstracts (and metadata) from arXiv's free API Pre-process abstract data Enrich each article with a primary topic, secondary topics, and estimated potential impact of the research using a LLM Post-process data Insert data and embeddings into Weaviate Part 2: Use an AI Agent and Weaviate to generate a weekly summary email Add Weaviate as a Tool to an AI agent node Query Weaviate, agentically, to generate a report on the most important research trends of the week Post-process data Send the summary via email Prerequisites An existing Weaviate cluster. You can view instructions for setting up a local cluster with Docker here or a Weaviate Cloud cluster here. API keys to generate embeddings and power chat models. We use a combination of OpenRouter and OpenAI models. Feel free to switch out the models as you like. An email address with STMP privileges. This is the address the email will come from. In this demo we use a personal Gmail address. You can create a new credential to link a STMP Account using these instructions. Self-hosted n8n instance. See this video for how to get set up in just three minutes. How to run the workflow Go through the prerequisites, creating a Weaviate cluster (can be local or cloud), downloading self-hosted n8n, creating STMP privileges for your email account, and adding your API keys and other credentials. Select the embedding and chat models you'd like to use. Enter the email addresses you want to send the email from and to. Let it rip. Workflow output The output for this workflow is a weekly email that summarizes key research trends and future research directions based on AI and ML papers published on arXiv. Here's an example of a summary email: Hey there, Here's a quick rundown of the key trends in Machine Learning research from the past week. * Key Research Trends This Week* This week saw significant advancements in retrieval-augmented systems, foundation models for specialized domains, and techniques balancing efficiency with performance. Advanced RAG Architectures**: Researchers are developing sophisticated RAG frameworks that go beyond simple document retrieval, with AdaPCR introducing passage combination retrieval and UrbanMind proposing a framework for urban intelligence with multilevel optimization. Foundation Models for Tabular Data**: The Real-TabPFN shows that targeted continued pre-training on real-world datasets can significantly boost the performance of foundation models for tabular data, outperforming models trained on broader, potentially noisier datasets. Efficiency-Focused Techniques**: Researchers are developing resourceful methods that maintain performance without expensive computations, like logit reweighting for topic-focused summarization and strategic querying for privacy-preserving personalization. * Future Research Directions* Based on current trends, we expect to see the following developments in the near future: Explainable RAG Systems**: Following the source attribution work in RAG systems, we can expect more research into making complex retrieval systems transparent and explainable for users. Cross-Domain and Cross-Modal Fusion**: The promising performance of vision-language and code-specialized LLMs in retrieval tasks points toward unified retrievers capable of handling text, code, images, and multimodal content. Data-Centric Synthetic Generation**: As shown by work on synthetic relational tabular data, we'll likely see more sophisticated approaches to generating high-quality synthetic data for pre-training foundation models in specialized domains. This week highlights how researchers are making AI more efficient, explainable, and applicable to specialized domains. Look out for more developments in RAG systems, tabular foundation models, and privacy-preserving AI techniques in the coming weeks. Until next week, Archi Want to make it better? Feel free to tweak, build on, or completely reconfigure this workflow. If you come up with something cool, let us know and we might just share it with our community! 💚

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: | Job_ID | Company | Position | Status | Applied_Date | Last_Checked | Application_ID | 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.

How it Works This workflow automates the collection and analysis of YouTube comments from a video and sends a summary report via email, using Google Sheets, the YouTube API, OpenAI (GPT-4o), and Gmail. Whether you're a content creator, brand manager, or social media analyst, this workflow helps you automate sentiment analysis and receive insights directly in your inbox — all triggered from a simple spreadsheet. 🎯 Use Case Ideal for: YouTubers** monitoring audience sentiment Marketing teams** analyzing campaign feedback Community managers** summarizing engagement Setup Instructions 1. Upload the Spreadsheet File name: Youtube_Video Sheet structure: | ID | Video Title | YouTube Video ID | Status | Add video IDs and set their Status as Pending 2. Configure Google Sheets Nodes Connect your Google account to: Pick Video IDs from Google Sheet Update Status on Google Sheet 3. Add API Credentials YouTube API Key** → for comment + video scraping nodes OpenAI API Key** → for analyzing comments Gmail Account** → for sending the summary email 4. Activate the Workflow Once live, the workflow will: Watch for new or updated rows in the spreadsheet Scrape comments using the YouTube API Analyze sentiment and key themes via GPT-4o Send a formatted HTML email with the summary Update the spreadsheet status to Mail sent 🔁 Workflow Logic Trigger: New/updated row in Google Sheet Retrieve: YouTube video metadata + comments Analyze: Comments using GPT-4o Email: Summary report via Gmail Update: Spreadsheet status to Mail sent 🧩 Node Descriptions | Node Name | Description | |-----------|-------------| | Pick Video IDs from Google Sheet | Watches the spreadsheet and retrieves pending video IDs | | If | Checks whether status is 'Pending' | | Limit | Restricts the number of processed rows | | Set Video Details | Prepares video info (e.g., title, channel) | | Get YouTube Video Details | Fetches metadata (title, channel, etc.) | | Get YouTube Video Comments | Pulls top-level comments using YouTube API | | Prepare Comments Data | Formats comment text for OpenAI | | AI Agent | Summarizes comments using OpenAI's GPT-4o | | Prepare HTML for Email | Converts summary into HTML for email body | | Gmail Account Configuration | Sends the email report via Gmail | | Update Status on Google Sheet | Marks the row as 'Mail sent' | 🛠️ Customization Tips Change the AI prompt for tone, length, or custom metrics Send results to Slack or Telegram instead of Gmail Export summaries to Notion, Airtable, or PDF Schedule it daily/weekly for recurring analysis 📒 Suggested Sticky Notes for Workflow | Node/Section | Sticky Note Content | |--------------|---------------------| | Pick Video IDs from Google Sheet | "Triggers on new YouTube videos in your spreadsheet" | | AI Agent | "Uses OpenAI to generate an analysis summary – customize prompt as needed" | | Gmail | "Sends summary report – you can update subject, recipients, or style" | | Update Status | "Marks video as processed to avoid duplicate runs" | 📎 Required Files | File Name | Purpose | |-----------|---------| | Youtube_Video | Google Sheet to hold YouTube video IDs and status | | Youtube_Comment_Scraper.json | Main n8n workflow export for this automation | 🧪 Testing Tips Add one test video with a valid YouTube video ID and status = Pending Monitor the workflow logs to confirm API responses Confirm summary delivery in your inbox Verify that status updates in the sheet 🏷 Suggested Tags & Categories #YouTube #OpenAI #Automation #Marketing #Email #Analytics

Description Candidate Engagement | Resume Screening | AI Voice Interviews | Applicant Insights This intelligent n8n workflow automates the process of extracting and scoring resumes received through a company career page, populating a Notion database with AI insights where the recruiter or hiring manager can automatically invite the applicant to an instant interview with an Elevenlabs AI voice agent. After the agent conducts the behavior-based interview, the workflow scores the overall interview against customizable evaluation criteria and updates the Notion database with AI insights about the applicant. AI Powered Resume Screening & Voice AI that interviews like a Recruiter! AI Insights in Notion dashboard Who is this for? HR teams, recruiters, and talent acquisition professionals This workflow is ideal for HR teams, recruiters, and talent acquisition professionals looking for a foundational, extensible framework to automate early stage recruiting. Whether you're exploring AI for the first time or scaling automation across your hiring process, this template provides a base for screening, interviewing, and tracking candidates—powered entirely by n8n, Elevenlabs, Notion, and LLM integrations. Be sure to consult State and Country regulations with respect to AI Compliance, AI Bias Audits, AI Risk Assessment, and disclosure requirements. What problem is this workflow solving? Manually screening resumes and conducting initial interviews slows down hiring. This template automates: Resume assessment against job description. Scheduling first and second round interviews. First-round AI-led behavioral interviews with AI scoring assessment. Centralized tracking of AI assessments in Notion. What this does This customizable tool, configured to manage 3 requisitions in parallel, automates the application process, resume screen, and first round behavioral interviews. Pre-screen Applicants with AI Immediately screens and scores applicant’s resume against the job description. The AI Agent generates a score and an AI assessment, adding both to the applicant's profile in Notion. Notion automatically notifies hiring manager when a resume receives a score of 8 or higher. Voice AI that Interviews like a Recruiter AI Voice agent adapts probing questions based on applicant’s response and intelligently dives deeper into skill and experience to assess answers against a scoring rubric for each question. AI Applicant Insights in Notion Get detailed post-interview AI analysis, including interview recordings and question-by-question scoring breakdowns to help identify who you should advance to the next stage in the process. AI insight provided in Notion ATS dashboard with drag and drop to advance top candidates to the next interview stage. How it works Link to Notion Template Notion Career Page: Notion Career Page published to web, can be integrated with your preferred job board posting system. Notion Job Posting: Gateway for applicants to apply to active requisitions with ‘Click to Apply’ button. Application Form: N8N webform embedded into Notion job posting captures applicant information and routes for AI processing. AI Agent evaluates resume against job description AI Agent evaluates resume against the job description, stored in Notion, and scores the applicant on a scale of 1 to 10, providing rationale for score. Creates ATS record in Notion with assessment and score Workflow creates the applicant record in the Notion ATS where Recruiters and Hiring Managers see applicants in a filtered view, sorted by AI generated resume score. Users can automatically advance applicants to the next step in process (AI Conversation interview) with drag and drop functionality. Invites applicant to an Instant AI Interview Dragging the applicant to AI Interview step in the Notion ATS dashboard triggers Notion automation that sends the applicant an email with a link to the Elevenlabs Conversation AI Agent. The AI Conversation Agent is provided with instructions on how to conduct the behavior-based interview, including probing questions, for the specific role. AI Conversation Agent Behavior Based Interview The email link resolves to an ElevenLabs AI Conversation agent that has been instructed to interview applicants using pre-defined interview questions, scoring rubric, job description, and company profile. The Elevenlabs agent assesses the applicant on a scale of 1 to 5 for each interview question and provides an overall assessment of the interview based on established evaluation criteria. Click to hear AI Voice Agent in action Example: Role: IT Support Analyst Mark: Elevenlabs AI Agent instructed to interview applicants for specific role Gemini: Google AI coached to answer questions as an IT Support Analyst being interviewed Updates Notion record with Interview Assessment and Score All results—including the conversation transcript, interview scores, and rationale for assessment are automatically added back to the applicant’s profile in Notion where the Hiring Manager can validate the AI assessment by skimming through the embedded audio file. AI Interview Overall Score: 1 to 5 based on response to all questions and probes. AI Agent confirms that it was able to evaluate the interview using the assigned rubric. AI Interview Criteria Score: Success/Failure based on response to individual interview questions. Invites applicant to second interview with Hiring Manager Dragging the applicant to the ‘Hiring Manager Interview’ step in the Notion ATS dashboard triggers a Notion automation that sends an email with a link to the Hiring Manager’s calendar scheduling solution. Configuration and Set Up Accounts & API Keys You wil need accounts and credentials for: n8n (hosted or self-hosted) Elevenlabs (for AI Conversation Agent) Gemini (for LLM model access) Google Drive (to back up applicant data) Calendly (to automate interview scheduling) Gmail (to automate interview scheduling) Data / Documents to implement Job Descriptions for each role Interview questions for each role Evaluation criteria for each interview question Notion Set Up Customize your Notion Career Page Link to Free Notion Template that enables workflow: Update Notion job description database -update job description(s) for each role -add interview questions to the job description database page in Notion -add evaluation criteria to the job description database page in Notion -edit each ‘Click to Apply’ button in the job description template so it resolves to the corresponding N8N 'Application Form' webform production URL (detail provided below) Notion Applicant Tracker In the Applicant Tracker database, update position titles, tab headings, in the custom database view (Notion) so it reflects the title of the position you are posting. Edit the filter for each tab so it matches the position title. Notion Email Automation Update Notion automation templates used to invite applicants to the AI Interview and Hiring Manager interview. Note: Trigger email automation by dragging applicant profile to the next Applicant Comm Status in the Applicant Tracker. AI Interview invite template: revise position title to reflect the title of the role you are posting; include the link to your Conversation AI Agent for that role in the email body. Note: each unique role will use an Elevenlabs AI conversation agent designed for that role. Hiring Manager Interview invite template: revise position title to reflect the title of the role you are posting; include the link to your Calendly page or similar solution provider to automate interview scheduling. N8N Configuration Workflow 1 Application Forms (3 Nodes - one for each job) Update the N8N form title and description to match the job description you configured in Notion. Confirm Job Code in Applicant Form node matches Job Code in Notion for that position. Edit the Form Response to customize the message you want displayed after applicant clicks submit. Upload CV - Google Drive Authenticate your Google Drive account and select the folder that will be used to store resumes Get Job Description - Notion Authenticate your Notion account and select your Career Page from the list of databases that contain your job descriptions. Applicant Data Backup - Google Sheet Create a Google Sheet where you will track applicant data for AI Compliance reporting requirements. Open the node in n8n and use the field names in the node as Google Sheet column headings. Workflow 2 Elevenlabs Web Hook (Node 1) Edit the Web Hook POST node and copy your production URL that is displayed in the Node. This URL is entered into the Elevenlabs AI Conversation Agent post-call webhook described below. AI Agent Authenticate your LLM model (Gemini in this example) and add your Notion database as a tool to pull the evaluation_criteria hosted in Notion for the specific role. Extract Audio Create an Elevenlabs API key for your conversation agent and enter that key as a json header for the Extract Audio node Upload Audio to Drive - Google Drive Authenticate your Google Drive account and select the folder that will be used to store the audio file. Elevenlabs Configuration Create an Elevenlabs account Create Conversation AI Agent Add First Message and Systems Prompt: Design your ‘First Message’ and ‘Systems Prompt’ that guides the AI agent conducting the interview. Tool Tip: provide instruction that limits the number of probes per interview question. Knowledge Base: Upload your role specific interview questions and job description, using the same text that is stored in your Notion Career page for the role. You can also add a document about your company and instruct the Elevenlabs agent to answer questions about culture, strategy, and company growth. Analysis: Evaluation Criteria: Add your evaluation criteria, less than 2000 characters, for each interview question / competency. Analysis: Data Collection: Add the following elements, using the exact character string represented below. phone_number_AI_screen "capture applicant's phone number provided at the start of the conversation and share this as a string, integers only." full_name "capture applicant's full name provided at the start of the conversation." Advanced: Max Duration Set the max duration for interview in seconds. The AI Agent will timeout at the max duration. Conversation AI Widget: Customize your AI Conversation Agent landing page, including the position tile and company name. AI Conversation Agent URL: Copy the AI Conversation Agent URL and add it to your Notion email template triggered by the AI Interview email automation. Use a custom AI Agent URL for each distinct job description. Enable your Elevenlabs Post-Call Webhook for your Conversation Agent: Log into your Elevenlabs account and go to Conversational AI Settings and click on Post-Call Web Hook. This is where you enter the production URL from the N8N Web Hook node (Workflow 2). This sends the AI Voice Agent output to your n8n workflow which feeds back to your Notion dashboard.

This n8n template captures every “Request a Demo” booking in Calendly, uses OpenAI to score and qualify leads in real time, routes them into the correct Saleshandy sequence, and logs all data in Google Sheets for full GTM visibility. Use cases include: Empowering SDR teams to focus on high-value demos Providing growth marketers with reliable funnel metrics Automating triage for B2B AE teams overwhelmed by demo requests Good to know OpenAI GPT-4 calls cost based on token usage—you can expect ~1,200 tokens per lead. Calendly API rate-limits at 180 requests/min; consider batching if volume spikes. Google Sheets writes are single-threaded; high-volume users may opt for Airtable or BigQuery. How it works Capture – Webhook node listens for every new “Request a Demo” form submission in Calendly. Score – AI Agent node sends job title, company size, domain quality, and custom questions to OpenAI; returns a 1–10 score plus label (Qualified/Semi-qualified/Unqualified). Verify meeting – HTTP Request node confirms via the Calendly API that a slot was actually scheduled. Route – Switch node selects the appropriate Saleshandy sequence ID (Qualified, Nurture, Disqualify). Send – HTTP Request nodes add each prospect to the chosen Saleshandy sequence. Log – Google Sheets nodes write to three tabs (Qualified, Semi-qualified, Unqualified) with lead data, score, routing path, and timestamp. Prerequisites n8n workspace Accounts & API credentials for: Calendly OpenAI (GPT-4 or GPT-3.5) Google Sheets Saleshandy Step-by-Step Setup 1. Import the n8n Template Upload the JSON file into your n8n workspace. 2. Add Required Credentials In n8n → Credentials, add: Calendly: Personal Access Token (PAT) OpenAI: API Key Google Sheets: OAuth2 connection Saleshandy: API Key 3. Calendly Setup Go to Calendly Webhook Docs Create a Routing Form in Calendly. Generate your access token. Use Postman or any API client to: Make a POST request to create a webhook subscription. Use your n8n webhook URL in the url field. Add your Authorization token and extract the Organization ID. Paste the webhook URL into the Calendly Routing Form. 4. Set Your Saleshandy Sequences In n8n, locate the Set: Sequence IDs node. Replace the placeholder text with: Your actual Qualified Semi-qualified and Unqualified Saleshandy sequence step IDs. 5. Configure Google Sheets Create a spreadsheet with the following tabs: Qualified Semi-qualified Unqualified In n8n, connect the three Google Sheets nodes to this file. Customising this workflow Adjust scoring logic – Modify the OpenAI prompt in the AI Agent node to weight ARR, industry, or headcount differently. Refine thresholds – Change the Switch node rules for score ranges (e.g., Qualified ≥8, Semi-qualified 5–7). Swap destinations – Edit HTTP Request nodes to integrate with your CRM or email platform instead of Saleshandy. Enhance logging – Replace Google Sheets with Airtable, BigQuery, or another analytics store. Add notifications – Insert Slack or Microsoft Teams nodes after routing to alert reps instantly.

Who is this for? This workflow is perfect for busy professionals, students, or anyone who struggles to keep their Gmail inbox organized and clutter-free. What problem is this workflow solving? It helps you avoid email overload by automating the process of organizing your Gmail inbox. Unnecessary emails are archived, while important emails are categorized into "MustRead" or "NotNeed" for better prioritization. What this workflow does Connects to your Gmail inbox. Automatically archives emails that are unnecessary or irrelevant. Sorts remaining emails into two categories: MustRead: Emails that require immediate attention. NotNeed: Less critical emails for review later. Setup Connect your Gmail account to the workflow. Define the criteria for "MustRead" and "NotNeed" emails by updating the filter rules in the nodes. Activate the workflow to start organizing your inbox. How to customize this workflow to your needs Adjust the filters for archiving emails based on your specific preferences. Modify the sorting rules for "MustRead" and "NotNeed" categories to match your workflow. Add additional actions, such as sending notifications for "MustRead" emails.

Keep your Hostinger VPS servers secure with automated backups! This n8n (self-hosted) workflow for is designed to create daily snapshots and send server metrics effortlessly, ensuring you always have an up-to-date recovery copy. Key Features: ✅ Automated Snapshots: Daily execution with zero manual intervention. ✅ Smart Replacement: Hostinger allows only 1 snapshot per VPS—the workflow automatically replaces the previous one. ✅ Notifications: Alerts via WhatsApp (Evolution API) or other configurable channels for execution confirmation. Quick Setup: Prerequisites: Install the Community Node n8n-nodes-hostinger-api and n8n-nodes-evolution-api in your n8n instance. Generate a Hostinger API Key in their dashboard: hpanel.hostinger.com/profile/api. Workflow Configuration: Add the Hostinger API credential in the first node and reuse it across the workflow. Customize the schedule (e.g., daily at 2 AM) and notification method (Evolution API for WhatsApp, email, etc.). Important Note: Hostinger overwrites the previous snapshot with each new execution, keeping only the latest version. VPS Metrics avaliables (send in messages): 🔹Status: snapshot status 🔹Date: snapshot date time 🔹Server: server name 🔹IP: external server IP ⚙️ Métrics: 🔹 Number of vCPUs 🔹 Ram usage / avaliable 🔹 Hard Disk usage / avaliable 🔹 Operational Sys and version 🔹 Uptime time (days, hours)

This workflow tracks week-over-week changes in Google Search Console performance and highlights the top movers across keyword segments like brand, nonbrand, and content categories. Instead of providing a routine check, it focuses on significant movements by: Sending a Slack alert only if a query crosses a defined movement threshold. Emailing a structured report with the Top 25 increases and Top 25 decreases for clicks, including % changes and linked URLs It’s designed to surface the most important shifts, helping SEO teams catch big wins, losses, or anomalies early. How it works Runs weekly (e.g. every Monday) to compare last week’s GSC data to the week prior. Segments traffic based on query and page (e.g. brand terms, category page URLs, etc.). Calculates delta and % change for clicks, CTR, impressions, and position. Filters and flags top movers with large shifts (default: ±200 clicks and ±30%). Sends Slack alerts only if meaningful changes are detected. Emails a full HTML table report showing the Top 25 up/down queries per segment. Setup steps Requires a connected Google Search Console account. Slack alert is included by default (can be replaced with email, webhook, or other tools). Customize your brand terms and URL filters to match your segments (e.g. recipes, blog, category pages). Typical setup time: 15–25 minutes depending on the number of segments and filters you want. Note: “Recipes” is used in the example to show how to segment by content type. You can update this to reflect your own site’s structure.

📨 Categorize and Label Existing Gmail Emails Automatically with GPT-4o mini 👥 Who's it for This workflow is perfect for individuals or teams who want to sort and label existing emails in their Gmail inbox 🗃️ using AI. Ideal for cleaning up unlabeled emails in bulk — no coding required! For sorting incoming emails messages in your gmail inbox, please use this free workflow: Categorize and Label Incoming Gmail Emails Automatically with GPT-4o mini 🤖 What it does It manually processes a selected number of existing Gmail emails, skips those that already have labels, sends the content to an AI Agent powered by GPT-4o mini 🧠, and applies a relevant Gmail label based on the email content. All labels must already exist in Gmail. ⚙️ How it works ▶️ Manual Trigger – The workflow starts manually when you click "Execute Workflow". 📥 Gmail Get Many Messages – Pulls a batch of existing inbox emails (default: 50). 🚫 Filter – Skips emails that already have one or more labels. 🧠 AI Agent (GPT-4o mini) – Analyzes the content and assigns a category. 🧾 Structured Output Parser – Converts the AI output into structured JSON. 🔀 Switch Node – Routes each email to the right label based on the AI result. 🏷️ Gmail Nodes – Apply the correct Gmail label to the email. 📋 Requirements Gmail account connected to n8n Gmail labels must be manually created in your inbox beforehand Labels must exactly match the category names defined in the AI prompt OpenAI credentials with GPT-4o mini access n8n's AI Agent & Structured Output Parser nodes 🛠️ How to set up In your Gmail account, create all the labels you want to use for categorizing emails Open the workflow and adjust the email fetch limit in the Gmail node (e.g., 50, 100) Confirm that the Filter skips emails that already have labels Define your categories in the AI Agent prompt — these must match the Gmail labels exactly In the Switch Node, create a condition for each label/category Ensure each Gmail Label Node applies the correct existing label Save the workflow and run it manually whenever you want to organize your inbox ✅ 🎨 How to customize the workflow Add or remove categories in the AI prompt & Switch Node Adjust the batch size of emails to process more or fewer per run Fine-tune the AI prompt to suit your inbox type (e.g., work, personal, client support)

Reverse engineer short-form videos from Instagram and TikTok using Gemini AI Who's it for Content creators, AI video enthusiasts, and digital marketers who want to analyze successful short-form videos and understand their production techniques. Perfect for anyone looking to reverse-engineer viral content or create detailed prompts for AI video generation tools like Google Veo or Sora. How it works This automation takes any Instagram Reel or TikTok URL and performs a forensic analysis of the video content. The workflow downloads the video, converts it to base64, and uses Google's Gemini 2.5 Pro vision API to generate an extremely detailed "Generative Manifest" - a comprehensive prompt that could be used to recreate the video with AI tools. The analysis includes: Visual medium identification (film stock, camera sensor, lens characteristics) Color grading and lighting breakdown Shot-by-shot deconstruction with precise timing Camera movement and framing details Subject description and action choreography Environmental and atmospheric details How to set up Configure API credentials: Add your Apify API key for video scraping Set up Google Gemini API authentication Set up Slack integration (optional): Configure Slack OAuth for result sharing Update the channel ID where results should be posted Access the form: The workflow creates a web form where you can input video URLs Form accepts both Instagram Reel and TikTok URLs Requirements Apify account** with API access for video scraping Google Cloud account** with Gemini API enabled Slack workspace** (optional, for sharing results) Videos must be publicly accessible (no private accounts) How to customize the workflow Modify the analysis prompt:** Edit the "set_base_prompt" node to adjust the depth and focus of the video analysis Add different platforms:** Extend the switch node to handle other video platforms Integrate with other tools:** Replace Slack with email, Discord, or other notification systems

How it works: Whenever a new event is scheduled on your Google Calendar, this workflow generates a Meeting Briefing email, giving an overview of each person on the call and the company they work for. It makes use of the web search tool on the OpenAI Responses API to make lookups. The workflow triggers when a new event is added to the calendar, loops over each attendee, generating reports on each person and their company, collates the results, and sends the briefing as an email. Set up steps: Add your credentials for Google Calendar (for viewing events) and Gmail (to send the email) Add your OpenAI credentials as a Header Auth on the Company Search and Person Search nodes. Name: Authorization Value: Bearer {{ YOUR_API_KEY }} Edit the "Edit Fields" node with the email that you want to send the briefing to, and a short bit of context about yourself.

This workflow leverages AI to intelligently analyze incoming Gmail messages and automatically apply relevant labels based on the email content. The default configuration includes the following labels: Newsletter**: Subscription updates or promotional content. Inquiry**: Emails requesting information or responses. Invoice**: Billing and payment-related emails. Proposal**: Business offers or collaboration opportunities. Action Required**: Emails demanding immediate tasks or actions. Follow-up Reminder**: Emails prompting follow-up actions. Task**: Emails containing actionable tasks. Personal**: Non-work-related emails. Urgent**: Time-sensitive or critical communications. Bank**: Banking alerts and financial statements. Job Update**: Recruitment or job-related communications. Spam/Junk**: Unwanted or irrelevant bulk emails. Social/Networking**: Notifications from social platforms. Receipt**: Purchase confirmations and receipts. Event Invite**: Invitations or calendar-related messages. Subscription Renewal**: Reminders for subscription expirations. System Notification**: Technical alerts from services or systems. You can customize labels and definitions based on your specific use case. How it works: The workflow periodically retrieves new Gmail messages. Only emails without existing labels, regardless of read status, are sent to the AI for analysis. Email content (subject and body) is analyzed by an AI model to determine the appropriate label. Labels identified by the AI are applied to each email accordingly. Note: This workflow performs 100% better than the default Gmail trigger method, which is why the workflow was switched from Gmail trigger to a scheduled workflow. By selectively processing only unlabeled emails, it ensures comprehensive labeling while significantly reducing AI processing costs. Setup Steps: Configure credentials for Gmail and your chosen AI service (e.g., OpenAI). Ensure labels exist in your Gmail account matching the workflow definitions. Adjust the AI prompt to match your labeling needs. Optionally customize the polling interval (default: every 2 minutes). This workflow streamlines your email management, keeping your inbox organized effortlessly while optimizing resource usage.