Gmail and Notion integration

🚀 AI Blog & Social Media Publisher – Fully Automated Workflow This workflow is ideal for individuals, marketers, agencies, and brands who want to effortlessly automate the entire blogging and social media process—from idea generation to promotion. Its primary goal is to consistently deliver engaging, SEO-optimized blog posts directly to WordPress, accompanied by professionally crafted social media content ready for Instagram, Facebook, and X (Twitter). No writers, editors, designers, or social media managers required. Save countless hours and resources while boosting your brand's online presence. 🔧 Workflow Capabilities: -Automated Blog Topic Generation: Instantly generates unique, high-value blog ideas tailored to your brand. -SEO Content Creation: Produces comprehensive, 2000–2500 word articles optimized for search engines. -Real-Time Research: Integrates Perplexity AI to ensure factually accurate, authoritative content. -Visual Content Generation: Creates custom, AI-generated featured images via GPT-4, with automatic fallback to Pexels. -WordPress Publishing: Automatically publishes articles directly to WordPress with complete formatting (HTML), meta descriptions, featured images, and proper categorization. -Social Media Automation: Generates and schedules engaging, platform-specific posts for Instagram, Facebook, and X, complete with relevant hashtags, calls-to-action, and links. -Detailed Logging & Reporting: Logs every step transparently into Google Sheets and optionally sends publication reports to Gmail. ⚙️ How It Works: When activated, the workflow checks your content calendar in Google Sheets to avoid duplicate topics. It generates fresh, brand-aligned blog ideas, conducts live research, and creates complete, ready-to-publish articles. It then automatically designs and sources appropriate visuals, publishes content seamlessly to WordPress, and prepares engaging social media posts optimized for each platform. 🛠️ Easy Setup Steps: -Connect your APIs: OpenAI, WordPress, Google Sheets, Gmail, and optionally Pexels. -Replace placeholders (WordPress URLs, Google Sheets ID/tab, workflow IDs). -Customize AI prompts with your brand’s tone, keywords, and CTAs for personalized content. -Configure scheduling to automate daily, weekly, or custom publishing intervals. 📌 Additional Features: -Modular workflow design for easy customization and scalability. -Comprehensive Markdown and PDF setup guides included. -Bonus: Reference placeholders and quick-edit Sticky Notes for effortless adjustments. Launch today. Automate permanently. Amplify your reach effortlessly.

This n8n template automates the entire sponsorship pipeline for content creators by combining Gmail inbox monitoring, AI-powered deal classification, Notion CRM logging, and automated follow-up reminders to deliver a complete brand deal management system without switching between tools. Instead of manually tracking sponsorship emails in scattered spreadsheets or losing deals in your inbox, this workflow focuses on structured pipeline management, AI-drafted replies, and consistent follow-ups including surfacing deals that have gone quiet and need a nudge. Use cases Automatically detect and classify sponsorship inquiries from your Gmail inbox Extract company name, contact, budget, campaign type, and channel from emails using AI Log every deal to a Notion CRM with deal stage, follow-up date, and notes Receive instant Telegram alerts with AI-drafted reply suggestions Get daily follow-up reminders for stale deals with ready-to-send email drafts Generate a monthly sponsorship revenue report with AI insights and channel breakdowns Power a professional creator business ops system with zero manual data entry Good to know This workflow monitors your Gmail inbox every minute, uses an AI model to classify emails and draft replies, and syncs all deal data to a Notion database. It does not auto-send emails all replies are reviewed by you before sending, keeping you in full control of brand relationships. The system is designed for solo creators and indie founders who want agency-level pipeline management without hiring an assistant. Setup typically takes 15–20 minutes. Requirements n8n Cloud or self-hosted instance Gmail account with OAuth2 access OpenAI API key (GPT-4o-mini recommended) Notion account with an integration token Telegram Bot Token + Chat ID Notion database (schema provided inside) Customising this workflow Replace Telegram with Slack or Discord for team alerts Swap Notion for Airtable or Google Sheets as your CRM Add a Gmail auto-send node if you want fully automated reply sending Adjust the AI classification prompt to include keywords specific to your niche Extend the monthly report to include platform-level breakdowns (YouTube vs Newsletter vs X) Adapt the follow-up logic to trigger after custom intervals per deal stage Flows included Flow A — Inbound sponsorship detection, AI classification, Notion CRM logging, reply drafting Flow B — Daily follow-up checker with AI-generated nudge drafts Flow C — Monthly revenue report with AI insights delivered via Telegram and Gmail

📘 Description This workflow automates the employee onboarding process by creating Jira accounts, generating Notion onboarding checklists, crafting AI-generated welcome messages, and sending personalized welcome emails — all automatically. It provides a complete hands-free onboarding experience for HR and IT teams by connecting Jira, Notion, Google Sheets, Gmail, and Azure OpenAI. Failures (like Jira account creation errors) are logged into Google Sheets to ensure full transparency and no missed onboardings. ⚙️ What This Workflow Does (Step-by-Step) 🟢 When Clicking “Execute Workflow” Manually triggers the entire onboarding automation. Useful for testing or initiating onboarding on demand for a new hire. 👤 Define New Hire Profile Data Structures all essential employee information into a clean dataset including name, email, start date, buddy, and access links (Slack, GitHub, Jira, Notion). Acts as the single source of truth for all downstream systems ensuring consistent, error-free onboarding data. 🎫 Create Jira User Account Automatically creates a Jira account for the new employee using REST API calls. Includes email, display name, username, and product access (Jira Software). Removes the need for manual admin setup and ensures immediate access to project boards. ✅ Validate Jira Account Creation Success: Checks if the Jira API response contains a valid accountId. If successful → continues onboarding. If failed → logs error to Google Sheets. Ensures downstream steps don’t continue if Jira setup fails. 📊 Log Jira Provisioning Failures to Error Sheet Appends any account creation errors (duplicate emails, invalid permissions, or API issues) into an “error log sheet” in Google Sheets. Helps HR/IT monitor issues and manually resolve them. Guarantees no silent onboarding failures. 📋 Generate Notion Onboarding Checklist Creates a personalized Notion page titled “{Name} - Onboarding Checklist” that includes: Welcome message Access links (Slack, GitHub, Jira) Assigned buddy details Start date and status Optionally, embedded videos or docs Gives each new hire a structured hub to manage onboarding tasks independently. 🤖 AI-Generated Welcome Message Creator Uses GPT-4o (Azure OpenAI) to craft a friendly, motivational welcome message for the new employee. Incorporates name, buddy, and access details with emojis and warm tone. Ensures every message feels human and engaging — not robotic. 🧠 GPT-4o Language Model Configuration Configures the AI assistant persona for personalized onboarding messages. Ensures tone consistency, friendliness, and empathy across all communications. 🔗 Consolidate Onboarding Data Streams Merges data from Jira, Notion, and AI message generation into a single payload. This ensures the final email contains every onboarding element — access links, checklist URL, and the AI-generated message. 📧 Format Comprehensive Welcome Email Generates a complete HTML-formatted email with: Personalized greeting AI-generated welcome message Clickable links (Jira, Notion, Slack, GitHub) Buddy info and start date Designed for mobile responsiveness and branded presentation. 📬 Send Welcome Email to New Hire Sends the final welcome email to the employee’s inbox with the subject: “Welcome to Techdome, {Name}! 🎉” Includes all essential access information, links, and team introductions — ensuring the new hire starts strong on Day 1. 🧩 Prerequisites Jira Admin API credentials Notion API integration Gmail OAuth2 credentials Azure OpenAI (GPT-4o) access Google Sheets document for logging errors 💡 Key Benefits ✅ Fully automated new hire onboarding ✅ AI-generated personalized communications ✅ Real-time error logging for IT transparency ✅ Seamless integration across Jira, Notion, and Gmail ✅ Professional first-day experience with zero manual work 👥 Perfect For HR teams managing multiple onboardings IT admins automating access provisioning Startups scaling employee onboarding Organizations using Jira + Notion + Gmail stack

This automation allows you to track feature requests in Notion, create GitHub issues automatically, and notify your team via email based on issue status. It's ideal for technical and functional teams who collaborate on project delivery using Notion and GitHub. 🔹 SECTION 1: Detect and Sort Issues from Notion Combining: Schedule Trigger + Notion Database + Field Mapping + Status Routing ⏰ 1. Schedule Trigger 🔧 Node Type: Schedule Trigger (you can use a webhook trigger if you are on Notion paid plan) 💬 Description: Triggers the workflow every X minutes to check for new or updated Notion database pages. 📑 2. Get Many Database Pages (Notion) 🔧 Node Type: Notion → Get All Database Pages 📋 What it does: Fetches all rows (pages) from a Notion database that represents tasks or feature requests. ✏️ 3. Sort Issues Fields 🔧 Node Type: Set 📋 Goal: Restructures or cleans data fields such as Title, Status, Labels, and Repository. 🔀 4. Switch: Issue Status Decision 🔧 Node Type: Switch 🎯 What it does: Separates logic based on the Status of the Notion item: If status is "To develop" → proceed to create issue Else → send notification to the team 🔹 SECTION 2: GitHub Issue Creation (IF "To develop") Combining: GitHub Node + Notion Update 🐙 5. Create an Issue (GitHub) 🔧 Node Type: GitHub → Create Issue ⚙️ What it does: Creates a new issue on the GitHub repo defined in the Notion row. 📥 Inputs: Uses dynamic fields: Title, Description, Labels, Repository. 🧩 6. Set Status and Issue URL (Notion Update) 🔧 Node Type: Notion → Update Database Page 🧠 Role: Updates the status of the issue in Notion to In progress and stores the created GitHub Issue URL. 🔹 SECTION 3: Notify Team on Already In-Progress Items (IF NOT "To develop") Combining: Notion Users + Filtering + Email Grouping + Gmail 👥 7. Get Many Users (Notion Users) 🔧 Node Type: Notion → Get All Users 📥 What it does: Retrieves the list of team members (to be notified). 🧠 8. Map Notion Users 🔧 Node Type: Set 📋 Role: Maps and formats data for each user (e.g., Name, Email, Role). 🧹 9. Exclude Bot 🔧 Node Type: Switch 🚫 What it does: Excludes automation/bot users (e.g., notifications@noreply). 🧮 10. Group Recipients 🔧 Node Type: Aggregate 🎯 Goal: Collects all user emails into a single array to send one email to all recipients. 📬 11. Send a Message (Gmail) 🔧 Node Type: Gmail → Send Email

Gmail → AI Summary → Notion + Audio Digest This n8n workflow turns incoming Gmail emails into structured AI summaries and optional audio digests, automatically delivered to Notion and Google Drive. It is designed to reduce email overload by transforming raw messages into concise, readable, and listenable content. What this workflow does On a scheduled basis, the workflow: Retrieves Gmail messages (all subjects or filtered) Marks processed emails as read to avoid duplicates Extracts and normalizes the email body Uses OpenAI to generate a clean, structured summary From the summary, the workflow branches into two outputs: Text summary The final AI-generated summary is appended as a block in Notion Ideal for daily logs, knowledge bases, or team dashboards Audio transcript (optional) The summary text is converted into speech using a TTS model The audio file is uploaded to Google Drive A shareable link is generated The audio reference is added back into Notion Key features Automated Gmail ingestion AI-powered email summarization JavaScript preprocessing for clean input Notion integration for structured storage Text-to-speech audio generation Google Drive hosting for audio files Error-aware branching for TTS generation Idempotent and schedule-safe execution Typical use cases Daily or weekly email digests Executive summaries of inbox activity Audio briefings you can listen to on the go Knowledge capture from important emails Reducing cognitive load from long email threads Who this template is for Professionals dealing with high email volume Teams using Notion as a central workspace n8n users building AI productivity automations Anyone who wants emails summarized instead of skimmed This template is designed to be practical, extensible, and production-ready, and can be easily adapted to: multiple Gmail labels different summary styles alternative TTS providers additional destinations (Slack, Docs, databases)

Who is this for Product managers, customer success teams, and small business owners who collect feedback via Google Forms and want automated sentiment analysis without manual review. Ideal for teams processing 10-100+ responses weekly. What this workflow does This workflow reads new Google Forms responses from a linked Google Sheets spreadsheet, sends them to Gemini AI for sentiment analysis and topic categorization, then writes results back to the sheet, logs weekly insights in a Notion database, and emails an HTML summary report to your team. Each response gets a sentiment label (positive, neutral, negative), a 1-10 score, a category tag, and a key theme extraction. How to set up Create a Google Form and link responses to a Google Sheet. Add four columns to the sheet: Processed, Sentiment, Category, Score. Connect your Google Sheets OAuth2 credential and select the responses sheet. Connect your Google Gemini API credential (requires a Google AI Studio API key). Create a Notion database with columns: Date, Total Responses, Positive Rate, Top Themes, Recommendation. Connect your Notion API credential. Connect your Gmail OAuth2 credential and set the recipient email address. Activate the workflow. Requirements Google Sheets OAuth2 credentials (linked to a Google Form) Google Gemini API key (Google AI Studio) Notion API integration token Gmail OAuth2 credentials How to customize Change the schedule trigger interval for more or less frequent analysis runs. Edit the AI prompt in the Analyze feedback node to add custom categories relevant to your product. Modify the email HTML template in the Parse results node to match your branding. Add a Slack notification node after the email for real-time team alerts.

Who is this for Customer support teams and operations managers who receive support requests via email and need automated triage. Works well for small to mid-size teams using Notion as their ticket tracker. What this workflow does This workflow watches a Gmail inbox for incoming support emails. Each email is analyzed by Gemini AI to determine its category (billing, technical, feature request, or general), priority level, and a suggested response draft. A new page is created in a Notion database with all classified fields. Critical tickets trigger an immediate Slack alert to the on-call team, while all tickets get a summary notification. Setup Add a Gmail OAuth2 credential and configure label or address filters. Add a Google Gemini API credential for email classification. Add a Notion API credential and create a database with columns: Title, Category, Priority, Status, Summary. Add a Slack OAuth2 credential and set your alerts channel. Requirements Gmail account with OAuth2 access Google Gemini API key Notion workspace with API integration enabled Slack workspace with OAuth2 app How to customize Edit the AI prompt in "Classify ticket with AI" to add more categories or adjust priority rules. Change the critical priority condition in "Is critical priority" to include high-priority tickets. Replace Notion with Airtable or Google Sheets for a different ticket backend.

Stay Updated on Website Changes Automatically Manually checking websites for updates or competitor changes can be tedious. This workflow automates the process by scraping target pages, capturing screenshots, and analyzing content changes using Firecrawl and GPT-5-mini. All updates are saved in Notion, and you can optionally receive email alerts — keeping you informed without lifting a finger. Key Features Automated Website Monitoring** Tracks changes on multiple target URLs on a daily schedule. Visual & Text-Based Updates** Captures screenshots and generates concise text summaries for each change. Notion Integration** Stores snapshots, comparisons, and summaries directly in Notion for easy reference. GPT-Powered Comparison** Highlights meaningful changes between snapshots using GPT-5-mini. Change Criteria Input** Define what type of updates matter to you — focus on specific content changes or ignore minor differences. Email Alerts via Gmail** Sends notifications when updates occur, so you never miss important changes. Reusable Notion Page Template** Includes a structured template for consistent tracking and reporting: View Template Email Updates: Notion Page Template: Notion Update Example: Setup Instructions Add Target URLs Paste one or more websites you want to monitor. The workflow accepts multiple URLs in JSON format for scalable tracking. Setup Firecrawl Credential Use Firecrawl to scrape website data without dealing with complex API setups. Steps: Go to firecrawl.dev/app and sign up. Copy your API Key from the dashboard. In n8n, open the Firecrawl node, add a new credential, and paste the key. Test the node to ensure the connection works. Setup OpenAI API Key The workflow uses GPT-5-mini to analyze and summarize website changes. Steps: Sign up at OpenAI if you haven’t already. Generate a new API Key in your OpenAI dashboard. In n8n, open the GPT node, add a new credential, and paste the API key. Test the node to ensure it can successfully call the API. Setup Gmail for Email Alerts In n8n, open the Gmail node. Click Add New Credentials and select OAuth2. Follow the Google OAuth setup to allow n8n to send emails on your behalf. Choose the recipient and customize the alert formatting to include snapshots and summaries. Configure the Workflow Import the workflow into n8n. Add your target URLs in JSON format. Paste your Firecrawl API Key into the Firecrawl node. Add your OpenAI API key to the GPT node. Authenticate Gmail if email notifications are desired. Set your preferred change criteria to filter meaningful updates. Adjust the schedule for daily execution or your preferred frequency. How It Works Schedule Trigger: Runs daily or on-demand. Fetch Pages: Scrapes target websites using Firecrawl. Capture & Compare: Screenshots and text are stored and compared using GPT-5-mini. Apply Change Criteria: Only updates that meet your defined criteria are logged. Save Updates: Changes are stored in Notion with visual and text summaries. Optional Alerts: Sends Gmail notifications with updates. Example Use Cases Monitor competitor websites for product, pricing, or design changes. Track updates on blogs, documentation, or landing pages. Automatically log changes for research, reporting, or team awareness. Get notified instantly when key pages are updated. Requirements | Tool | Purpose | |------|----------| | Firecrawl API Key | Scrape website content | | OpenAI API Key | Generate summaries and compare changes with GPT-5-mini | | n8n | Run and schedule the automation | | Notion | Store snapshots, summaries, and comparisons | | Gmail (OAuth2) | Send alert emails | Have questions about this template? Feel free to reach out. Our DMs are always open! Email: [email protected] X (Twitter): @ScoutNowApp

Instantly Track Reddit Discussions and Generate Insights Manually monitoring Reddit for relevant discussions can be overwhelming. This automation does all the heavy lifting by automatically searching for keywords across selected subreddits or the entire Reddit, analyzing each post with GPT-5-Mini, and saving structured insights in your Notion database. Optionally, receive daily email notifications summarizing new discussions without lifting a finger. Key Features Daily Automated Reddit Monitoring** Checks Reddit once a day for new posts matching your keywords in selected subreddits or across all of Reddit. AI-Powered Analysis with Custom Prompts** Uses GPT-5-Mini to: Assign a relevance score to each post based on your defined priorities. Generate a suggested comment tailored to your audience or engagement strategy. Allow custom prompts so you can tweak AI behavior for lead generation, competitor monitoring, or brand mentions. Notion Integration** Saves all posts, relevance scores, and AI-generated comments directly into your Notion database for easy tracking and collaboration. Optional Email Alerts** Sends a clean, HTML-formatted email summarizing new discussions and insights. No API Keys Required for Reddit** Works with the official Reddit API without requiring users to create credentials. Customizable Inputs** Users define keywords, subreddits, relevance criteria, custom prompts, and notification preferences with minimal setup. Setup Instructions Configure Keywords and Subreddits Open the Define Keywords and Subreddits node. Enter your target keywords and choose specific subreddits, or enable search across all Reddit. Map the inputs to the workflow’s search nodes. Connect OpenAI (GPT-5-Mini) Create an OpenAI account and obtain your API key. Open the AI Analysis Node in the workflow. Paste your OpenAI API key into the credentials field. Customize your prompts to define how GPT-5-Mini: Scores relevance based on your specific criteria. Generates suggested comments tailored to your objectives (e.g., lead generation, brand engagement, competitor analysis). Test the node to ensure relevance scoring and suggested comments are generated correctly. Connect Notion Duplicate the provided Notion template into your workspace. Obtain your Notion integration secret from Notion settings. Paste the secret into the Add Each Post to Notion Database node. Test the connection to ensure posts are saved correctly. Optional Email Notifications Setup Google API credentials in the Google Cloud Console. Authenticate Gmail in the workflow. Map the recipient email and customize the notification format. Test sending an email to confirm delivery. Configure Workflow Trigger Import the workflow into n8n. Ensure the daily trigger is enabled. Optionally adjust schedule or notification settings. How It Works Daily Trigger: Starts the workflow once per day. Reddit Search: Queries new posts based on user-defined keywords. AI Analysis: GPT-5-Mini evaluates relevance score and generates suggested comments based on your custom prompts. Save & Notify: Posts are saved to Notion and optionally summarized via email. Example Use Cases Generate leads by identifying potential prospects discussing your industry or product. Monitor brand mentions to stay on top of conversations around your company. Track competitor activity across relevant subreddits. Keep a daily digest of trending posts for market research or content ideas. Automate engagement by posting AI-generated suggested comments. Requirements | Tool | Purpose | | -------------- | ------------------------------------------------- | | Notion Account | Store posts, relevance scores, and comments | | Gmail Account | Optional daily email notifications | | n8n | Run, schedule, and manage the workflow | | OpenAI API Key | Access GPT-5-Mini for relevance scoring and AI-generated comments |

AI Email Auto-Responder – Smart Client Reply Automation with RAG This workflow is built for individuals, teams, and businesses that receive regular inquiries via email and want to automate responses in a way that’s intelligent, brand-aligned, and always up to date. Its core purpose is to generate high-quality, professional email replies using internal company data, brand voice, and semantic search — fully automated through Gmail, Pinecone, and OpenAI. The system is divided into three steps. First, it allows you to index your internal knowledge base (Docs, Sheets, PDFs) with embeddings. Second, it injects a consistent brand brief into every interaction to ensure tone and positioning. Finally, the main flow listens for incoming emails, understands the user query, retrieves all needed data, and writes a full HTML reply — sending it directly to the original thread via Gmail. This solution is ideal for support teams, solopreneurs, B2B service providers, or anyone looking to scale high-quality client communication without scaling manual work. It can be extended to handle multilingual queries, intent routing, or CRM logging. How it works When a new email arrives in Gmail, the workflow checks whether it's a valid client inquiry. If so, it: Extracts the subject and message content Sends the message through OpenAI to understand the question Queries a Pinecone vector database (populated via a separate embedding workflow) to find relevant internal knowledge Loads a brand brief from a Google Doc or Notion block Combines retrieved data and brand context to generate a clear, structured HTML reply using OpenAI Sends the reply via Gmail and logs the message This process ensures every reply is relevant, accurate, and consistent with your brand — and takes under 10 seconds. Set up steps Getting started takes about 30–60 minutes. Create three workflows: one for embedding documents (Step 1), one sub-workflow for the brand brief (Step 2), and one main responder flow (Step 3) Connect the following APIs: Gmail (OAuth2), OpenAI, Pinecone, Google Drive, and optionally Notion Replace all placeholders: folder ID in Google Drive, Pinecone index and namespace, your brand brief URL or doc ID, and Gmail credentials Test your embedding workflow by uploading a document and verifying its presence in Pinecone Trigger the responder by sending an email and reviewing the AI’s reply Detailed setup instructions are stored in sticky notes within each workflow to guide you through configuration.

LinkedIn Inbox Triage (Gmail Label to Notion + Slack) This n8n template demonstrates how to use AI to triage LinkedIn emails in your Gmail inbox, so you only see the messages worth your time. It filters out automated noise, scores sales likelihood, drafts quick replies for real conversations, stores everything in Notion, and sends you a Slack DM for items you should answer quickly. Good to know This workflow sends email content to an LLM. Do not use it with sensitive mailboxes unless you are comfortable with that. Cost depends on your model choice and token usage. The body is currently limited to 4000 characters to control spend. If you want a shorter run window, adjust the receivedAfter filter. How it works Runs on a daily schedule. Pulls emails from Gmail using a label you define (example: LinkedIn). Applies two filters: Keeps only invitations and messages Removes common automated notifications Fetches the full email body for better classification. Sends the message to an AI agent that returns strict structured JSON: action (reply_quick, review, ignore, block) relevancy_score (0 to 100) sales_likelihood (0 to 1) summary optional reply_draft Applies a quality gate to keep high signal messages. Writes the output to a Notion database as a ticket. Sends a Slack DM only for items marked reply_quick. How to use Create a Gmail label that captures LinkedIn emails, then add the label id to the Gmail node. Create a Notion database with fields matching the Notion node mapping. Connect your OpenAI, Gmail, Notion, and Slack credentials in n8n. Run once manually to verify mapping, then enable the workflow. Requirements Gmail account OpenAI API credentials (or compatible model node) Notion database Slack account Customising this workflow Make it more aggressive by increasing the sales threshold or raising the relevancy cutoff. Add more filter phrases for your own LinkedIn email language. Swap Slack DM for a channel post, or send a daily digest instead of per message. Add a redaction step before the AI node if you want to remove signatures or quoted replies.

AI job application tracker and interview prep assistant Categories: AI, Productivity, Career Transform your job search from chaos to clarity. This workflow automatically tracks every application, researches companies, and prepares you for interviews with AI-generated materials — all saved to a visual Notion pipeline. Benefits Never lose track of applications** — Every job gets logged automatically with status tracking Walk into interviews prepared** — AI generates likely questions, talking points, and company insights Save 2-3 hours per application** — Research and prep that took hours now happens in seconds Automated follow-up reminders** — Get notified when it's time to send that follow-up email How It Works Submit application via form (paste job URL) or forward your confirmation email AI extracts job details — company, role, requirements, salary, location Interview prep generates — likely questions, suggested talking points, questions to ask Everything saves to Notion — visual pipeline with follow-up dates Daily reminders — Slack notification for applications needing follow-up Required Setup Notion Database Structure Create a Notion database with these properties: | Property Name | Type | Purpose | |---------------|------|---------| | Company | Title | Company name | | Role | Text | Job title | | Status | Select | Applied, Interviewing, Offer, Rejected, Ghosted | | Applied Date | Date | When you applied | | Salary Range | Text | Compensation info | | Job URL | URL | Link to posting | | Location | Text | City/Remote | | Interview Prep | Text | AI-generated prep materials | | Follow Up Date | Date | When to follow up | | Requirements | Text | Key job requirements | | Notes | Text | Your personal notes | Credentials Needed OpenAI API** — For job extraction and interview prep generation Notion** — Connected to your job tracker database Gmail** (optional) — For email forwarding and confirmations Slack** (optional) — For follow-up reminders Use Cases Active job seekers** — Track 20+ applications without spreadsheet chaos Career changers** — Get AI help understanding new industry requirements Recent graduates** — Build interview confidence with generated prep materials Passive searchers** — Keep a running list with minimal effort Set Up Steps Import the workflow into your n8n instance Create Notion database with the structure above (or duplicate template) Connect OpenAI credentials — API key with GPT-5 access recommended Connect Notion credentials — Select your job tracker database Configure Gmail trigger (optional) — Set filter for forwarded job emails Set up Slack webhook (optional) — Choose channel for reminders Test with a sample job posting — Paste a LinkedIn or company careers page URL Customization Tips Edit the interview prep prompt to mention your background/experience Adjust the follow-up reminder interval (default: 7 days) Add additional research sources (LinkedIn, Crunchbase) for richer company data Connect to calendar to block interview prep time automatically Technical Notes Uses Jina AI Reader for web scraping (free tier available) GPT-5-mini recommended for cost efficiency Notion text fields limited to 2000 characters (full prep saved) Daily check runs at 9 AM (configurable) Difficulty Level: Intermediate Estimated Setup Time: 30-45 minutes Monthly Operating Cost: ~$2-5 (based on 50 applications/month with GPT-5-mini)

🧾 An intelligent automation system that turns Google Meet recordings into structured meeting notes — integrating Fireflies.ai, OpenAI GPT-4.1-mini, Notion, Slack, Google Drive, and Gmail via n8n. 🎥 Demo: Watch the Loom walkthrough ⚙️ What It Does The Google Meet Notes Generator & Distributor automates the entire post-meeting workflow. Workflow Summary: Fetches Google Meet transcript via Fireflies.ai webhook. Aggregates and summarizes transcript using OpenAI GPT-4.1-mini into: Title Summary Decisions Action Items Risks Questions Stores the transcript as a text file on Google Drive and generates a shareable link. Creates a Notion page with all the meeting details. Posts the summary in #meeting Slack channel. DMs each attendee on Slack with personalized meeting notes. Sends email recap to all attendees via Gmail. Result: No more manual note-taking or scattered updates — everything centralized, formatted, and instantly shareable. 💡 Use Cases | Scenario | Description | | --------------------------- | --------------------------------------------------------------------------------------- | | Team Meeting Summaries | Automatically summarize and distribute meeting notes for internal teams. | | Project Management | Keep structured decisions, action items, and risks documented for each project meeting. | | Remote Teams | Notify distributed teams in Slack and via email without extra effort. | | Client Updates | Share polished meeting summaries with clients instantly. | | Knowledge Base / Notion | Archive structured notes in Notion for reference and compliance. | 🔧 Setup Accounts and Tools Needed | Tool | Purpose | | -------------------------- | ---------------------------------------------- | | 🤖 Fireflies.ai API | Fetch Google Meet transcripts via webhook | | 🧠 OpenAI API | Summarize and structure transcript into notes | | 📓 Notion API | Create structured meeting pages | | 💬 Slack OAuth/Bot | Post summaries in channel and DM attendees | | 🗂 Google Drive OAuth2 | Store transcripts and generate shareable links | | ✉️ Gmail OAuth2 | Email meeting recaps to attendees | Fireflies.ai Setup Get API key from Fireflies.ai. Configure n8n → Credentials → Fireflies API. Ensure webhook triggers are set to send meetingId to n8n. OpenAI Setup Generate API key at OpenAI. Add to n8n → Credentials → OpenAI API. Use model GPT-4.1-mini in Agent and Generate Slack Message nodes. Notion Setup Create a Notion integration and share your workspace. Add API token in n8n → Credentials → Notion API. Map workspace/page IDs to Notion Page node. Slack Setup Create Slack Bot in workspace with chat:write and users:read permissions. Add OAuth token in n8n → Credentials → Slack API. Connect to Send a message #meeting and DMs to Attendees nodes. Google Drive Setup Create a folder for transcripts. Enable Google Drive API in Google Cloud Console. Add OAuth2 credentials to n8n → Google Drive. Gmail Setup Enable Gmail API in Google Cloud. Add OAuth2 credentials in n8n → Gmail. Connect to Email to Attendees node. n8n Workflow Setup Import provided n8n workflow JSON. Configure all credentials: Fireflies, OpenAI, Notion, Slack, Google Drive, Gmail. Activate workflow. Test by sending a meeting ID via webhook. Workflow automatically: Fetch → Summarize → Store → Notion → Slack → DM → Email 🧠 Result A fully automated AI pipeline that transforms Google Meet recordings into polished, shareable meeting notes — eliminating manual note-taking and keeping your team informed in real time. 📞 Support & Contact If you face any issues during setup or execution, contact: 📧 Email: [email protected] 🔗 LinkedIn: Atharva Jaiswal

💬 "I used to start my day reacting to emails… now I start with purpose." What if you could wake up and know exactly what to focus on — without checking 5 different apps? This soft-tech workflow delivers a personalized morning digest every day that shows you ✅ Today’s top 3 priorities (from Notion or Google Tasks) ✅ Yesterday’s income (from Stripe, PayPal, or invoices) ✅ Upcoming client meetings (from Google Calendar) ✅ One motivational note (AI-generated, based on your mood) ✅ One household reminder (optional: groceries, chores, family) All sent to your email or Telegram — before you even open your laptop 🎯 Perfect for: Tax preparers during busy season Consultants, coaches, and freelancers Salon owners, shopify store operators, daycare providers Anyone running a solo business who wants to start strong 🔧 Tools Used: Notion • Google Calendar • Gmail • Stripe/PayPal • GPT-4o • Cron 📦 What You Get: Ready-to-import n8n JSON workflow Step-by-step setup guide (PDF) Notion Daily Dashboard template Customizable AI prompt library 5-minute video walkthrough (optional) 💡 Why You’ll Love It: No more “Where do I even start? Build momentum with a clear, calm morning ritual Stay aware of income without being obsessive Blend business + personal in a healthy way Feel like a CEO — even if you’re a team of one 🚀 Set it up once. Get clarity every morning. Forever 👉 Start your day with focus — not frenzy.

Purpose This solution enables you to manage all your Notion and Todoist tasks from different workspaces as well as your calendar events in a single place. All tasks can be managed in Todoist and additionally Fantastical can be used to manage scheduled tasks & events all together. Demo & Explanation How it works The realtime sync consists of two workflows, both triggered by a registered webhook from either Notion or Todoist To avoid overwrites by lately arriving webhook calls, every time the current task is retrieved from both sides. Redis is used to prevent from endless loops, since an update in one system triggers another webhook call again. Using the ID of the task, the trigger is being locked down for 15 seconds. Depending on the detected changes, the other side is updated accordingly. Generally Notion is treaded as the main source. Using an "Obsolete" Status, it is guaranteed, that tasks never get deleted entirely by accident. The Todoist ID is stored in the Notion task, so they stay linked together An additional full sync workflow daily fixes inconsistencies, if any of them occurred, since webhooks cannot be trusted entirely. Since Todoist requires a more complex setup, a tiny workflow helps with activating the webhook. Another tiny workflow helps generating a global config, which is used by all workflows for mapping purposes. Mapping (Notion >> Todoist) Name: Task Name Priority: Priority (1: do first, 2: urgent, 3: important, 4: unset) Due: Date Status: Section (Done: completed, Obsolete: deleted) <page_link>: Description (read-only) Todoist ID: <task_id> Current limitations Changes on the same task cannot be made simultaneously in both systems within a 15-20 second time frame Subtasks are not linked automatically to their parent yet Recurring tasks are not supported yet Tasks names do not support URL’s yet Compatibility n8n v2.5.0 and above Updates This templated has been updated to work with the new "combined" Todoist API (v1). The general flow works exactly the same as before. Only the setup of the Todoist Webhook might look a tiny bit different then shown in the setup video, so please also have a look at the yellow sticky notes. Prerequisites Notion A database must already exist (get a basic template here) with the following properties (case matters!): Text: "Name" Status: "Status", containing at least the options "Backlog", "In progress", "Done", "Obsolete" Select: "Priority", containing the options "do first", "urgent", "important" Date: "Due" Checkbox: "Focus" Text: "Todoist ID" Todoist A project must already exist with the same sections like defined as Status in Notion (except Done and Obsolete) Redis Create a Free Redis Cloud instance or self-host Setup The setup involves quite a lot of steps, yet many of them can be automated for business internal purposes. Just follow the video or do the following steps: Setup credentials for Notion (access token), Todoist (access token) and Redis - you can also create empty credentials and populate these later during further setup Clone this workflow by clicking the "Use workflow" button and then choosing your n8n instance - otherwise you need to map the credentials of many nodes. Follow the instructions described within the bundle of sticky notes on the top left of the workflow How to use You can apply changes (create, update, delete) to tasks both in Notion and Todoist which then get synced over within a couple of seconds (this is handled by the differential realtime sync) The daily running full sync, resolves possible discrepancies in Todoist and sends a summary via email, if anything needed to be updated. In case that contains an unintended change, you can jump to the Task from the email directly to fix it manually.

Who is this for? This is for marketers, educators, HR teams, startups, and freelancers who use Google Forms to collect information and want to automatically send it to Notion while emailing the respondent. What problem does it solve? Manual data entry from Google Forms into CRMs is time-consuming. This template eliminates that, ensuring leads are captured in your Notion database in real time and respondents are notified instantly — improving speed and accuracy. What this workflow does? Node 1 – Google Sheets Trigger**: Listens for new rows in the spreadsheet connected to your Google Form. Node 2 – Notion**: Creates a new entry in your CRM-style Notion database. Node 3 – Gmail**: Sends a confirmation email to the person who filled the form. 🛠 Setup Guide Prepare Google Form and Sheets Create your Google Form. Connect it to a Google Sheet (Responses tab > "Link to Sheets"). n8n - Google Sheets Trigger Setup Add Google Sheets Trigger node. Authentication: Use OAuth2 (preferred). Select your spreadsheet and worksheet. Trigger type: On new row (not "updated"). n8n - Notion Node Add Notion node (action: "Create Page"). Connect your Notion integration: In Notion, create a new integration and copy the token. Share your CRM database with that integration. In the node, map form responses to your database properties: e.g., Name → Title, Email → Email, etc. Use {{$json["Full Name"]}} for mapped fields. Common error: Check Notion property types (email must be set to type: email). n8n - Gmail Node (Optional Auto Reply) Add Gmail node (action: "Send Email"). Auth: OAuth2 with your Gmail account. To: {{$json["Email Address"]}} Subject: "Thanks for contacting us!" Body: Hi {{$json["Full Name"]}}, Thanks for reaching out via the form. We’ve received your info and will follow up soon! 🧩 How to Customize Replace Gmail with Outlook or SendGrid if needed. Map more fields into Notion like phone, tags, etc. Add Slack or Discord notifications for internal alerts. 🧾 SEO Optimized Title Suggestions Auto-sync Google Forms with Notion CRM and send a confirmation email Add Google Form leads to Notion and auto-send thank-you email via Gmail 📎 Required Permissions / Dependencies Google Sheets and Gmail authenticated in n8n Notion integration shared with your CRM database Enable “Impersonate User” if using Google Service Account

Who is this for? This template is perfect for Gumroad creators, solopreneurs, digital product sellers, and freelancers who want to track and thank customers automatically — without spending time on manual work. What problem does this solve? Every sale is a moment to build trust. But manually checking your inbox for new orders, logging clients, and remembering to send a thank-you note? It’s time-consuming and inconsistent. This workflow handles it all: From sale → to sheet → to ping → to personalized “thank you” — all fully automated. What this workflow does: ✅ Triggers on each new sale on Gumroad 📋 Extracts buyer details, amount paid, and product purchased 📈 Logs the sale to a Google Sheet for tracking 📲 Sends a Telegram approval message to notify you 💌 (Optional) Sends a Gmail thank-you email to the buyer 🔁 Keeps your workflow organized with color-coded notes and sample data ⚙️ Setup Instructions: Create Gumroad API and connect the trigger node Authenticate with Google Sheets to store each client Connect your Telegram bot for real-time alerts (Optional) Setup Gmail API for sending thank-you emails Customize the email copy & sheet headers (e.g. % cut, timestamps) 🗒 Color-coded workflow notes: To make customization smooth, the workflow includes a color-coded sticky note system: 🟩 Green Notes – Main building blocks (trigger, logging, ping, email) 🟦 Blue Notes – Setup guidance and editable fields (e.g. your email or brand name) 🟨 Yellow Notes – Optional upgrades (e.g. swap Gmail, use AI email generator, change to WhatsApp) Each step has comments or hints to make your setup easy — whether you're new to n8n or a seasoned automator. 🔧 How to customize this workflow? 🎯 Swap Gmail with Outlook, SMTP, or Mailgun 🤖 Use AI (e.g. OpenAI or Claude) to draft personalized emails dynamically 📞 Replace Telegram with WhatsApp, Discord, or Slack 🗃️ Log to Airtable or Notion instead of Google Sheets 🧠 Add approval logic or advanced tagging in Gmail 🧾 Licensing & Support This template is built by Velebit from Innovatio. External links (Gumroad store or support email) are included in the notes for optional help and upgrades. A separate license applies to the paid version on Gumroad, which includes additional modules and commercial use rights. 📩 Support & customization: [email protected]

How it works This workflow triggers when a HubSpot deal stage changes to Closed Won and automatically generates an invoice. It collects deal and contact data, builds a styled invoice, converts it into a PDF, and sends it to the client. The system logs all invoices and alerts the team, then monitors payment status with automated reminders. If payment is delayed, it escalates the issue and handles errors separately. Step-by-step Trigger and data collection** HubSpot - Deal Trigger – Starts workflow on deal stage change. IF - Is Deal Closed Won? – Filters only Closed Won deals. HTTP - Get Deal Details – Fetches deal information. HTTP - Get Deal Associations – Retrieves linked contacts. Code - Extract Contact ID – Extracts and formats data. HTTP - Get Contact Details – Gets customer details. Invoice generation** Code - Build Invoice + HTML – Creates invoice data and HTML layout. Send and store invoice** HTTP - Generate PDF – Converts HTML into PDF. Google Sheets - Log Invoice – Stores invoice records. Notion - Create Invoice Record – Tracks invoice internally. Gmail - Send Invoice Email – Sends invoice to client. Slack - Invoice Sent Alert – Notifies team. Payment tracking and follow-up** Wait - 7 Day Payment Window – Waits before checking payment. HTTP - Recheck Deal Stage – Checks payment status. IF - Payment Received? – Branches based on payment. Gmail - Follow-up Email #1 – Sends reminder if unpaid. Wait - 5 More Days – Adds extra delay. HTTP - Final Payment Check – Verifies final status. Slack - Payment Confirmed – Confirms successful payment. Escalation handling** IF - Still Unpaid? (Escalate) – Detects overdue invoices. Slack - Escalation Alert – Alerts team for action. Notion - Flag as Overdue – Updates record status. Slack - Late Payment Confirmed – Handles delayed payments. Error handling (separate flow)** Error Trigger – Captures workflow failures. Slack - Workflow Error Alert – Sends error notification. Why use this? Fully automates invoicing from deal closure to payment tracking Reduces manual billing work and human errors Improves payment collection with automated reminders Provides clear visibility with logs and team alerts Ensures reliability with built-in error monitoring

🚀 How it works Fully automates your Day 0–30 employee onboarding sequence the moment HR submits a webhook. No manual steps, no missed tasks. 🔐 Provisions Google Workspace account via Admin API 💬 Posts a personalised welcome message to Slack 📝 Creates a Notion onboarding page pre-filled with the employee's details 📧 Sends a welcome email via Gmail with first-day instructions ⏱️ Waits 7 days, then checks task completion — alerts the manager if anything is overdue ✅ Waits 30 days, runs a final completion check and closes the onboarding loop 🛠️ Set up steps Estimated setup time: ~20 minutes Webhook — copy the webhook URL and send it from your HR system (BambooHR, HiBob, Workday, or a simple form) Google Workspace — connect a Service Account with Domain-Wide Delegation; grant admin.directory.user scope Slack — connect Slack OAuth2; set the welcome channel in the node (e.g. #general) Notion — connect Notion OAuth2; set your Onboarding database ID in the Create Page node Gmail — connect Gmail OAuth2; customise the welcome email template in the Send Email node Follow the sticky notes inside the workflow — each key node has a one-liner guide 📋 Prerequisites Google Workspace (Business Starter or higher) Slack workspace with a bot or OAuth2 app Notion workspace with an onboarding database Gmail account for sending welcome emails Custom Workflow Request with Personal Dashboard [email protected] https://www.smartflowcraft.com/contact More free templates https://www.smartflowcraft.com/n8n-templates

Description Execute email actions directly from Notion. Set an email’s status to Responded, Delegated, Routed, or Archived, and this workflow handles the Gmail action, Slack notification, or Jira routing automatically. Context This is the action layer for the Inbox Zero Engine. When you set an email’s status in Notion, the workflow executes the appropriate action: • Responded: sends the draft reply via Gmail thread • Delegated: forwards the email + sends a Slack DM to the delegate • Routed: creates items in Jira, RICE+ backlog, or customer health • Archived: applies Gmail labels After each action, the entry is marked as “Processed” in Notion. Who is this for? • PMs using Notion as their command center • Anyone who wants to process email without leaving Notion • Teams that delegate and route emails frequently Requirements • Notion account with Email Intelligence database • Gmail OAuth2 • Slack Bot token How it works Trigger Watches Email Intelligence in Notion for status changes. Action Router 4-way switch: Responded sends reply, Delegated forwards + DMs, Routed creates tickets, Archived labels in Gmail. Closed Loop Updates each entry to “Processed” with timestamp and reference. What you get • One-click email actions from Notion • Automatic Gmail replies, forwards, and archiving • Slack notifications for delegated emails • Full audit trail in Notion About me : I’m Yassin a Product Manager Scaling tech products with data-driven project management. 📬 Feel free to connect with me on Linkedin

Research competitors and generate market insights with Claude AI and Notion Who is this for SaaS product managers, startup founders, and marketing teams who need to stay informed about competitor movements without manual monitoring. Perfect for teams who want to automate competitive intelligence gathering and respond quickly to market changes. How it works The workflow runs weekly, automatically scraping competitor websites and pricing pages using HTTP requests. A code node extracts key content and creates content hashes to detect changes from previous scans. When changes are detected, Claude AI analyzes the updates and provides strategic insights about pricing shifts, feature launches, or messaging changes. All competitor data and AI analysis are automatically saved to a Notion database for historical tracking. Important changes trigger immediate Slack notifications with actionable insights. At the end of each week, a comprehensive report summarizing all competitor activity is generated and emailed to your team. How to set up Configure competitor URLs in the Set node by adding websites, pricing pages, and feature pages you want to monitor. Set up API credentials for Claude AI, Notion, Slack, and Gmail. Create a Notion database with properties for competitor name, URL, content hash, AI analysis, and scan date. Define environment variables for your Notion database ID, Slack channel, and team email list. Requirements Anthropic Claude API key for competitive analysis Notion workspace with API access for data storage Slack workspace for urgent alerts Gmail account for weekly reporting Basic HTML/CSS knowledge helpful for customizing content extraction How to customize Adjust the schedule trigger frequency, modify urgent notification keywords in the priority evaluation code, or customize the Claude AI analysis prompt to focus on specific competitive aspects like pricing, features, or market positioning.

Forecast sales trends and generate reports with Stripe, Sheets, and Gemini AI Who is this for Revenue operations teams, SaaS growth managers, and sales directors who need automated weekly insights from their Stripe payment data. Perfect for small to medium businesses tracking subscription revenue, one-time charges, and refund patterns without manual spreadsheet work. How it works Every Monday morning, the workflow pulls the previous week's charges, subscriptions, and refunds from Stripe's API. It merges this fresh data with historical sales records stored in Google Sheets, then calculates key metrics like week-over-week growth, moving averages, and MRR estimates. Google Gemini AI analyzes the compiled data to identify trends, predict next week's performance, and flag unusual revenue patterns. When significant changes are detected (20%+ variance), the system triggers targeted alerts through a separate Slack channel. All insights get logged to a Google Sheets history for tracking, while a comprehensive dashboard page updates automatically in Notion. The weekly summary posts to your main sales Slack channel, and executives receive detailed email reports with strategic recommendations. How to set up Configure Stripe API credentials with read access to charges, subscriptions, and refunds. Set up Google Sheets OAuth for both reading historical data and writing analysis logs. Create a Notion integration with page update permissions for your sales dashboard. Add Slack OAuth credentials for posting to your chosen sales and alerts channels. Configure Gmail SMTP for executive email delivery. Update the Configuration Settings node with your specific IDs, channels, and email addresses. Requirements Stripe account with API access Google Sheets with historical sales data Notion workspace for dashboard Slack workspace with posting permissions Gmail account for executive reports Google Gemini API access How to customize Adjust the anomaly detection threshold in the Calculate Trends code node (currently 50% variance triggers alerts). Modify the Slack message templates, email formatting, or add additional metrics to the Notion dashboard. Change the schedule trigger from weekly to daily or monthly based on your reporting needs.

This n8n template helps you turn inbound messages into a clean, deduped queue of actionable tickets. It includes Slack and Gmail as ready to use examples, but the key idea is the universal intake normalizer: you can plug in other sources later (forms, webhooks, chat tools, other inboxes) as long as you map them into the same normalized schema. Good to know This workflow sends message content to an LLM for classification. Keep sensitive data out of the prompt, and only process messages you are allowed to process. Costs depend on message volume and length, so truncation and tight filters matter. How it works Collect inbound items (Slack and Gmail are included as examples). Normalize each item into one shared JSON format so every source behaves the same. Deduplicate items using a data table so repeats are skipped. Use an AI agent with structured output to score urgency and importance, produce a summary, and draft a reply. Create a Notion ticket for tracking, and optionally notify Slack for high priority items. Setup steps Connect credentials for Slack, Gmail, Notion, and your LLM provider. Choose your Slack channel and set a Gmail filter that keeps volume manageable. Select your Notion database and ensure properties match the field mappings. Create or select a data table and map the unique ID column for deduplication. Adjust the notification threshold and schedule interval to match your workflow. Requirements Slack workspace access (optional if you swap the source) Gmail access (optional if you swap the source) Notion database for ticket creation LLM API credentials Customising this workflow Add new sources by mapping them into the normalizer schema. Truncate long messages before the AI step to reduce cost. Change categories, scoring, and thresholds to match your operating model.

This workflow automates a complete 5-step user onboarding sequence by integrating Notion (as a CRM), Gmail (for sending emails), and Telegram (for team alerts). Instead of manually checking user sign-up dates, this workflow runs daily to detect where each user is in their journey and triggers the appropriate action. How it works The workflow checks your Notion database every 24 hours and performs the following actions based on the user's registration date: Day 0 (Welcome):** Sends an immediate welcome email via Gmail to new signups. Day 1 (Value):** Sends a "Pro Tip" email to encourage feature adoption. Day 3 (Check-in):** Sends a soft check-in email asking if the user needs help. Day 7 (Sales Push):* Sends a personal email from a manager to users who haven't converted yet, and sends a Telegram notification* to your sales team about this hot lead. Trial Expiry:** Automatically detects when a trial is about to expire (3 days left) and sends a renewal reminder. Setup steps Duplicate the Notion Template You need a specific database structure for this workflow to work. 👉 Click here to duplicate the CRM Template Configure Content Double-click the 📝 CONFIGURATION node. Here you can easily edit: Email Subjects & Bodies: Customize the text for all 5 emails in one place. Telegram Chat ID: Add your team's chat ID to receive alerts. Connect Accounts Select your Notion Database in the Notion nodes. Connect your Gmail account in the email nodes. (Optional) Add your Telegram credentials. Activate Turn on the workflow. It is set to run daily by default.

Intelligent Multi-Source Document Orchestrator: AI Triage & Multi-Tier Routing 🎯 Description This is an enterprise-grade Intelligent Document Processing (IDP) hub designed to handle high-volume document ingestion, classification, and departmental routing. It transforms monolithic bulk scans into actionable data streams by leveraging a "Split-Extract-Route" architecture. ✨ The Orchestration Lifecycle Intake Layer - Aggregates document triggers from Google Drive, Webhooks, and Scheduled Tasks. It implements a strict file integrity check to ensure only healthy binaries enter the pipeline. Document Atomization - Utilizes the HTML to PDF (Split) node to explode multi-page bulk scans into individual, manageable pages. This ensures that a single PDF containing an invoice, a contract, and a payroll slip is correctly decomposed for separate processing. AI Extraction & Intelligence - A sophisticated Code Node acts as the "Brain," using regex and keyword logic to classify documents (Invoices, Payroll, Legal, POs) and extract structured metadata (Amounts, Vendors, Due Dates) with confidence scoring. Smart Routing Matrix - Documents are contextually routed based on department and value: Invoices & POs: High-value items (>$5,000) trigger a priority escalation track. Legal & Payroll: Grouped and logged for standard departmental audit. High-Value Escalation - For critical financial items, the system creates an approval task in Notion and sends an urgent escalation email via Gmail to the CFO/Manager. Quality Assurance & Alerts - Low-confidence extractions (<85%) are automatically quarantined, triggering a Slack alert for immediate manual team review. Forensic Audit Logging - Every action, confidence score, and routing decision is appended to a Google Sheets master audit log for total transparency and compliance. 💡 Key Technical Features Conditional Gating:** Multi-tier IF nodes ensure that documents only proceed once they meet specific quality and value thresholds. Binary Integrity Guard:** Prevents workflow crashes by validating file data before intensive AI processing. Bi-Directional Governance:** Simultaneously updates Notion for task management and Google Sheets for historical reporting. 🚀 Benefits ✅ Zero Manual Sorting - Automates the transition from "Bulk Scan" to "Departmental Action." ✅ Risk Mitigation - High-value items and low-confidence data are surfaced immediately for human oversight. ✅ Regulatory Compliance - Every document lifecycle is tracked with a permanent, immutable audit trail. Tags: #IDP #AI #document-intelligence #notion #slack #automation #fintech Category: Finance & Operations | Difficulty: Advanced

⚖️ HR Sovereign: AI-Powered Onboarding Hub A high-fidelity employee onboarding engine: Intake → Role-Based Enrichment → AI Personalization → IT Provisioning. ⚙️ Core Sovereign Logic Enrichment:** Auto-classifies Tech, Sales, and Leadership roles to drive specific logic tracks. Intelligence:* Uses AI Agent (GPT-4)* to generate personalized welcome messaging based on job DNA. Atomization:* Merge PDF* node assembles role-specific policies and benefits into a single high-res package. Provisioning:* Dynamically generates Jira hardware/access tickets and Notion* tracking dashboards. Delivery:* Sends branded HTML emails via Gmail and announces hires on Slack*. 📋 Setup & Prerequisites Intake: Connect your HRIS (BambooHR/Workday) to the Webhook URL. Assets: Organize Drive folders into "Technical", "Leadership", and "Standard" templates. Tracking: Connect your Notion Onboarding Database and Jira IT Project. Metrics: Time_to_Provision, Engagement_Score, Document_Integrity_Hash.

Who is this for? Agencies, consultants, and service providers who conduct discovery calls and need to quickly turn conversations into professional proposals. What it does: This workflow transforms meeting transcripts into complete, professional quotes using a sophisticated multi-agent AI architecture. It handles the entire quote lifecycle: from transcript analysis to client signature and onboarding. How it works: Trigger: Google Drive detects a new VTT/transcript file in a designated folder Extraction: The transcript is cleaned and parsed, then matched with calendar data to identify the client AI Analysis: A main orchestrator agent analyzes the call and delegates tasks to specialized sub-agents: SOW Agent: Generates problems, solutions, and action items Pricing Agent: Creates competitive pricing based on service catalog and market research Document Creation: PandaDoc API creates the quote with all tokens populated Review & Approval: Quote is sent to Slack for human review with approve/reject buttons Delivery: Approved quotes are sent via Gmail with custom HTML templates Post-Signature: Webhook triggers CRM update and welcome email upon signature Key Features: Multi-agent architecture with specialized AI agents Automatic pricing calculation with 80%+ margin targeting Market research integration via Perplexity API Human-in-the-loop approval via Slack Professional HTML email templates CRM integration (Notion) for client status tracking Requirements Google Drive account (for transcript storage) Google Calendar (for meeting context) PandaDoc account (for quote generation) OpenRouter API (for LLM access - Claude/GPT models) Perplexity API (for market research) Slack workspace (for approval workflow) Gmail account (for client communication) Notion database (for CRM) Setup Instructions Configure Google Drive trigger folder Set up PandaDoc template with required tokens Add API credentials for OpenRouter and Perplexity Connect Slack workspace for approval notifications Configure Gmail for outbound emails Set up Notion CRM database with required properties

Employee Onboarding Automation with Multi-System Provisioning What this workflow does This workflow automates the end-to-end employee onboarding process by provisioning new hires across multiple internal systems and delivering a personalized welcome experience. Upon receiving new employee data via a webhook or form submission, it creates user accounts in Google Workspace, invites the employee to Slack, sets up a Notion onboarding page, generates an AI-powered welcome package, and notifies relevant stakeholders. All onboarding activities are logged for tracking and audit purposes. This template helps HR and People Operations teams reduce manual work, ensure consistency, and deliver a smooth onboarding experience from day one. How it works Employee data intake Triggered by a webhook or form submission. Collects employee details such as name, email, department, role, start date, and manager. Data preparation Generates a company email address. Assigns a unique onboarding ID. Standardizes employee information for downstream systems. Parallel account provisioning Creates a Google Workspace user account. Sends an invitation to the Slack workspace. Creates a dedicated Notion onboarding page. Executes these steps in parallel to minimize onboarding time. Provisioning result compilation Consolidates account creation statuses. Produces a single onboarding summary object. AI-powered welcome package Generates: A personalized welcome message A suggested first-week schedule Practical tips for success in the role Formats content for email delivery. Notifications & communication Sends a welcome email to the employee (if a personal email is provided). Notifies HR or People Ops via Slack. Logs onboarding details to Google Sheets. Webhook response Returns a structured JSON response confirming onboarding initiation. Setup requirements Before activating this workflow, ensure the following are configured: Enable the webhook endpoint and connect it to your form or HR system. Configure Google Workspace Admin API access. Set up Slack workspace permissions for user invitations. Define a parent Notion page for onboarding content. Prepare Google Sheets for onboarding logs. Customize email templates, departments, and org unit paths as needed. Required credentials This workflow requires the following credentials to be configured in n8n: Google API** (Google Workspace user provisioning) Slack** (workspace invitations and HR notifications) Notion** (onboarding page creation) OpenAI** (AI-generated welcome content) Gmail** (sending welcome emails) Google Sheets** (onboarding tracking and logs) Customization ideas Add role-based access provisioning (VPN, GitHub, Jira, etc.). Delay account creation until a specific start date. Generate localized onboarding content by region or language. Integrate with HRIS tools such as BambooHR or Workday. Add approval steps for managers or IT before provisioning. Who this is for HR & People Operations teams IT & Identity management teams Startups and scaling organizations Companies seeking consistent, automated onboarding This template provides a scalable, repeatable onboarding foundation that connects HR systems, IT provisioning, and AI-driven communication into a single automated workflow.

📘 Description This workflow automates short-interval market signal evaluation for intraday trading using live technical indicators and deterministic decision logic. It is designed for traders, analysts, and automation teams who want fast, auditable trade signals without manual chart monitoring or subjective interpretation. On a fixed 5-minute schedule, the workflow fetches live price, volume, RSI, and EMA data for AAPL and combines them into a unified market snapshot. A deterministic computation layer derives clear trend and momentum signals, ensuring indicator logic remains transparent and non-AI. These signals are then evaluated by a strict, rule-based AI decision engine that returns a structured verdict—APPROVE, WAIT, or REJECT—along with confidence and a concise reason. Trade decisions are routed instantly to Telegram for real-time visibility and logged to Notion for historical analysis and auditability. Built-in error handling ensures any workflow failure is reported immediately. ⚠️ Deployment Disclaimer This workflow is intended for self-hosted n8n instances only. It relies on frequent polling, external market data APIs, and advanced AI agent orchestration not suitable for n8n Cloud. ⚙️ What This Workflow Does (Step-by-Step) ⏰ Scheduled Market Data Polling Runs automatically every 5 minutes to capture fresh market data. 📡 Fetch Live Market Indicators Pulls AAPL price, volume, RSI, and EMA from the market data provider. 🔗 Merge Indicator Streams Combines all indicators into a synchronized market snapshot. 🧮 Compute Trend & Momentum (Deterministic) Derives bullish, bearish, or neutral signals using fixed logic—no AI. 🧠 Evaluate Trade Decision (AI) Applies strict rule-based logic to return verdict, confidence, and reason. 🔀 Route Trade by Verdict Separates approved vs non-approved signals automatically. 📣 Send Telegram Trade Alerts Delivers real-time trade decisions directly to Telegram. 🗂 Log Decisions to Notion Stores every verdict for tracking, analysis, and audit. 🚨 Workflow Error Handler → Email Alert Sends immediate notifications if any step fails. 🧩 Prerequisites • Self-hosted n8n instance • Market data API (e.g., Twelve Data) • OpenAI API credentials • Telegram Bot API • Notion API access 💡 Key Benefits ✔ Fully automated intraday signal monitoring ✔ Transparent, auditable indicator calculations ✔ Strict, deterministic AI decision logic ✔ Real-time Telegram alerts without opening n8n ✔ Centralized trade history in Notion ✔ Reliable error detection and reporting 👥 Perfect For Active traders and market analysts Quant and rule-based trading teams Automation engineers building trading assistants Founders prototyping decision-support trading systems

📘 Description This workflow automates end-to-end AI-driven inventory intelligence, transforming Airtable stock data into optimized reorder recommendations, daily operational summaries, and instant Slack alerts. It fetches all inventory rows, validates structure, computes reorder and safety-stock metrics using strict formulas, merges multi-batch AI output into a unified dataset, and distributes actionable insights across Email and Slack. Invalid or corrupted Airtable rows are logged to Google Sheets for audit and cleanup. The workflow ensures deterministic inventory math (zero improvisation), strict JSON compliance, and reliable multi-channel reporting for operations teams. ⚙️ What This Workflow Does (Step-by-Step) ▶️ Manual Trigger – Start Inventory Optimization Runs the full optimization and reporting pipeline on demand. 📦 Fetch Inventory Records from Airtable Retrieves all SKU records (ID, ItemName, SKU, quantities, reorder levels) from the Airtable Inventory table. 🔍 Validate Inventory Record Structure (IF) Ensures each record contains a valid id. Valid → routed to AI optimization Invalid → saved to Google Sheets. 📄 Log Invalid Inventory Rows to Google Sheet Captures malformed or incomplete Airtable items for audit checks and data hygiene. 🧠 Configure GPT-4o — Inventory Optimization Model Defines the AI model for stock-level calculations using strict formulas: SuggestedReorderPoint = ReorderLevel × 1.2 SuggestedSafetyStock = ReorderLevel × 0.5 StockStatus logic: Critical if QuantityInStock ≤ SuggestedSafetyStock Needs Reorder if QuantityInStock ≤ SuggestedReorderPoint OK otherwise 🤖 Generate Inventory Optimization Output (AI) The AI engine analyzes each SKU and returns: Suggested reorder point Suggested safety stock Updated stock status Clean structured JSON for each item All without markdown, hallucination, or additional logic. 🧩 Merge AI Optimization Results (Code) Consolidates all partial AI responses into one complete JSON dataset containing all SKUs. 🧠 Configure GPT-4o – Email Summary Model Prepares the AI model used for generating a professional operations-team email. 📧 Generate Inventory Email Summary (AI) Creates a manager-ready email including: High-level inventory health Detailed SKU summaries Alerts for low, reorder-level, or critical stock Recommended actions for today’s operations 📨 Email Inventory Summary to Manager (Gmail) Sends the completed inventory summary to the operations manager. 🧠 Configure GPT-4o – Slack Summary Model Sets up GPT-4o to produce a compact, emoji-supported Slack summary. 💬 Generate Inventory Slack Summary (AI) Builds a Slack-optimized message containing: One-line inventory health Bullet list of SKUs with stock status Clear alerts for reorder-level or critical items One recommended action line 📡 Notify Operations Team on Slack Delivers the optimized Slack summary to the operations Slack user/channel for real-time visibility. 🧩 Prerequisites Airtable access token Azure OpenAI GPT-4o credentials Google Sheets OAuth Slack API credentials Gmail OAuth 💡 Key Benefits ✔ AI-powered stock calculations with strict formulas ✔ Reliable reorder and safety-stock predictions ✔ Instant multi-channel reporting (Email + Slack) ✔ Full audit logging for invalid data ✔ Zero hallucinations—pure structured JSON ✔ Faster decision-making for operations teams 👥 Perfect For Operations & supply-chain teams Inventory managers Retail & e-commerce units Businesses using Airtable for stock tracking

Description Automatically triage Product UAT feedback with AI, deduplicate it against your existing Notion backlog, create/update the right Notion item, and close the loop with the tester (Slack or email). This workflow standardizes incoming UAT feedback, runs AI classification (type, severity, summary, suggested title, confidence), searches Notion to prevent duplicates, and upserts the roadmap entry for product review. It then confirms receipt to the tester and returns a structured webhook response. Context Feature requests often arrive unstructured and get lost across channels. Product teams waste time re-triaging the same ideas, creating duplicates, and manually confirming receipt. This workflow ensures: Faster feature request triage Fewer duplicates in your roadmap/backlog Consistent structure for every feedback item Automatic tester acknowledgement Full traceability via webhook response Who is this for? Product Managers running UAT or beta programs Product Ops teams managing a roadmap backlog Teams collecting feature requests via forms, Slack, or internal tools Anyone who wants AI speed with clean backlog hygiene Requirements Webhook trigger (form / Slack / internal tool) OpenAI account (AI triage) Notion account (roadmap/backlog database) Slack and/or Gmail (tester notification) How it works Trigger: feedback received via webhook Normalize & Clean: standardizes fields and cleans message AI Triage: returns structured JSON (type, severity, title, confidence…) Notion Dedupe & Upsert: search by suggested title → update if found, else create Closed Loop: notify tester (Slack or email) + webhook response payload What you get One workflow to capture and structure feature requests Clean Notion backlog without duplicates Automatic tester confirmation Structured output for downstream automation About me : I’m Yassin a Product Manager Scaling tech products with a data-driven mindset. 📬 Feel free to connect with me on Linkedin

Description Automatically triage Product UAT feedback using AI, route it to the right tools and teams, and close the feedback loop with testers, all in one workflow. This workflow analyzes raw UAT feedback, classifies it (critical bug, feature request, UX improvement, or noise), validates AI confidence, escalates when human review is needed, and synchronizes everything across Jira, Slack, Notion, Google Sheets, and email. Context Product teams often receive unstructured UAT feedback from multiple sources (forms, Slack, internal tools), making triage slow, inconsistent, and error-prone. This workflow ensures: Faster bug detection Consistent categorization Zero feedback lost Clear accountability between Product, Engineering, and Design It combines AI automation with human-in-the-loop control, making it safe for real production environments. Who is this for? Product Managers running UAT or beta programs Project Managers coordinating QA and release validation Product Ops / PMO teams Engineering teams who want faster, cleaner bug escalation Any team managing high-volume UAT feedback Perfect for teams that want speed without sacrificing control. Requirements Webhook trigger (form, internal tool, Slack integration, etc.) OpenAI account (for AI triage) Jira (bug tracking) Slack (team notifications) Notion (product roadmap / UX backlog) Google Sheets (UAT feedback log) Gmail (tester & manual review notifications) How it works Trigger The workflow starts when UAT feedback is submitted via a webhook (form, Slack, or internal tool). Normalize & Clean Incoming data is normalized into a consistent structure (tester, build, page, message) and cleaned to be AI-ready. AI Triage An AI model analyzes the feedback and returns: Type (Critical Bug, Feature Request, UX Improvement, Noise) Severity & sentiment Summary and suggested title Confidence score Quality Control If the AI output is unreliable (low confidence or parsing error), the feedback is automatically routed to manual review via email and Slack. Routing & Actions If confidence is sufficient: Critical Bugs → Jira issue + Engineering Slack alert Feature Requests → Notion roadmap UX Improvements → Design / UX tracking Noise → Archived but traceable Closed Loop The tester is notified via Slack or email, and the workflow responds to the original webhook with a structured status payload. What you get One unified UAT triage system Faster bug escalation Clean product and UX backlogs Full traceability of every feedback Automatic tester communication Safe AI usage with human fallback About me : I’m Yassin a Product Manager Scaling tech products with a data-driven mindset. 📬 Feel free to connect with me on Linkedin

How It Works Aggregates communication data from Slack, Microsoft Teams, Gmail, GitHub, and Confluence into a single, unified AI-powered analysis workflow designed for quality review and automated documentation updates. This solution is specifically aimed at teams managing distributed content and knowledge workflows across multiple platforms. It addresses the challenges of fragmented communication and isolated information silos that often prevent rapid content review and timely decision-making. The workflow begins with a scheduled trigger, followed by multi-source data collection, merging and normalizing inputs, Claude AI-powered analysis, validation and quality checks, formatting, and finally publishing updates to Notion and Confluence, accompanied by Slack notifications to ensure stakeholders are promptly informed. Setup Steps -Connect credentials: Slack API, Teams, Gmail OAuth, GitHub PAT. -Confluence API, Anthropic API key, Notion Integration. -Configure monitored channels/repositories. -Set schedule frequency. -Map output destinations (Notion/Confluence). -Test merged output before enabling automation. Prerequisites Slack workspace, Teams account, Gmail access, GitHub repository, Confluence space, Anthropic API key, Notion workspace, n8n instance. Use Cases Content review teams processing feedback, documentation teams aggregating updates, QA teams reviewing communications Customization Add/remove source nodes, adjust Claude prompts for analysis type, modify output destinations Benefits Saves 6+ hours weekly, eliminates missed content, AI-driven quality assurance

GummyMail – Gumroad Personalized Autoreply system This n8n template automates post-purchase communication for Gumroad creators by sending AI-powered personalized thank-you emails and logging customer data into Notion. It helps creators engage buyers instantly while keeping a clean customer CRM — fully hands-free. Use cases Automatically send personalized thank-you emails after every Gumroad purchase Maintain a lightweight customer CRM in Notion Reduce manual email follow-ups for digital product sales Improve buyer experience and post-purchase engagement Build a foundation for creator support, upsells, or onboarding flows Good to know This workflow connects to a few external services, so credentials must be configured before running the template. It works on both n8n Cloud and self-hosted instances, and setup typically takes 5 minutes. Requirements n8n Cloud or self-hosted instance Gmail account (OAuth connected) to receive and send emails Notion account with a customer database Google Gemini API key for AI-generated email content Customising this workflow Replace Gmail with Slack, Telegram, or WhatsApp for message delivery Swap Google Gemini with OpenAI or Claude for different writing styles Add follow-up emails, upsells, or discount links Extend the Notion database into a full creator CRM Use it as a base for Gumroad analytics, support automation, or AI creator tools

This workflow converts raw ClickUp task updates—received directly through a webhook—into fully automated release documentation. It validates incoming payloads, fetches and cleans task details, enriches them with AI-generated metadata, produces structured release notes using GPT-4o, publishes them to Notion, notifies stakeholders on Slack, emails a formatted summary, and logs the release into Google Sheets. The system handles malformed events gracefully by logging invalid payloads and continues only when a valid task_id is present. It extracts structured fields (title, description, links, priority, assignee), then augments them with AI-driven classifications such as risk level, change type, module, and impact score. GPT-4o generates polished release notes following a strict template. Finally, the workflow distributes the release across multiple channels while maintaining an auditable, centralized history. ⚙️ What This Workflow Does (Step-by-Step) 🟢 Webhook — Receive ClickUp Task Update Captures incoming events from ClickUp via POST and forwards the raw body for parsing. 🧹 Code in JavaScript — Extract task_id Parses the raw webhook body and safely extracts task_id. Invalid JSON → forwarded to error logging. 🔍 Validate Incoming ClickUp Task Event Checks if task_id exists. Valid → continue workflow Invalid → log error to Google Sheets 📄 Fetch Full Task Details from ClickUp Retrieves full task metadata: title, description, status, priority, links, assignee details, and due date. 🧩 Extract Clean Task Fields from ClickUp Data Normalizes and structures the task fields into a clean, usable JSON object. 🧠 Provide GPT-4o Model for Metadata Extraction Loads the language model for metadata generation. 🔍 Generate Release Metadata via AI AI generates structured metadata including: • risk_level • change_type • module • impact_score • requires_testing 🧹 Parse AI Metadata JSON Output Parses stringified JSON from the AI node into valid structured JSON. Malformed metadata → returned as an error object. 🔀 Merge Task Details with Metadata Combines clean task fields with AI-generated metadata into a complete release-ready object. 🧠 Provide GPT-4o Model for Release Notes Supplies the language model needed to generate formal release notes. ✍️ Generate Structured Release Notes via AI Produces uniform release notes containing: • Summary • Improvements & Features • Bug Fixes • Impact Analysis • Known Issues 📝 Extract Release Notes Title & Final Output Extracts title from markdown and prepares final content for publishing. 📘 Create Release Notes Page in Notion Saves the release notes as a new page in the Notion Release Notes database. 💬 Post Release Announcement to Slack Sends formatted release notes + Notion link to the specified Slack user/channel. 📧 Send Release Summary Email Sends a structured HTML email with the release summary, full notes, and Notion link. 📊 Append Release Log Entry to Google Sheet Writes a complete release log entry including: • task ID • title • priority • module • risk level • Notion URL • Slack message URL • release date 🛑 Log Invalid ClickUp Events to Google Sheet Stores any invalid or incomplete webhook payload for debugging and auditing. 🧩 Prerequisites • ClickUp API token • Public webhook endpoint in n8n • Azure OpenAI GPT-4o credentials • Notion API integration • Slack API token • Google Sheets OAuth • Gmail OAuth 💡 Key Benefits ✔ Converts ClickUp updates directly into finished release documentation ✔ AI-powered metadata ensures consistent classification ✔ Instant multi-channel dissemination: Slack + Email + Notion ✔ Automatic logging for audit, QA, and release governance ✔ Eliminates manual writing, formatting, and cross-platform updates 👥 Perfect For Product teams running constant sprints Engineering teams needing reliable release documentation Teams using ClickUp as their primary task manager Organizations with multi-channel release communication needs

How it works This workflow automates the entire lifecycle of a service-based client, combining four distinct business flows into a single view: Intake Leads: Receives a webhook from your form builder, validates the data, optionally enriches the email using Clearbit, and creates records in Airtable and Notion. Manage Bookings: Processes scheduling webhooks to update lead status, create Google Calendar events, and send pre-call survey emails. Send Reminders: Runs a daily schedule to scan Airtable for upcoming calls and automatically sends 24h reminder emails to reduce no-shows. Onboard Clients: Reacts to successful payments by marking leads as "Paid," generating a Notion Onboarding Checklist, and sending a Welcome Kit via Email and WhatsApp. Set up steps Configure Credentials: Connect your accounts for Airtable, Notion, Slack, Google Calendar, and GMAIL. (Optional) Add credentials for Clearbit (enrichment) and Twilio (WhatsApp). Customize Emails: Open the four Email Send nodes. Customize the Body Text with your own booking links and survey URLs. Configure Tables & IDs: Update the Airtable nodes with your specific Base and Table names (e.g., tblLeads). Update the Notion nodes with your Database IDs for Projects and Onboarding. Connect Webhooks: Copy the Production URLs from the three Webhook nodes (Lead Intake, Booking, Payment) and paste them into your respective form, calendar, or payment provider settings.

Who is this for? This template is perfect for agencies, consultancies, freelancers, and project-based teams who want to eliminate repetitive onboarding tasks. If you're tired of manually creating folders, Slack channels, and project pages every time a new client signs a contract, this automation will save you hours. What this workflow does When a new contract PDF is uploaded to a designated Google Drive folder, this workflow automatically: Parses the filename to extract client name, project name, and contact email Creates a project folder structure in Google Drive with organized subfolders Creates a dedicated Slack channel for project communication Sets up a Notion project page with initial kickoff tasks Logs project details to a master Google Sheet for tracking Drafts a personalized welcome email using OpenAI GPT-4o-mini Notifies your team on Slack with all relevant links when complete Setup steps Time required: ~15 minutes Configure OAuth credentials for Google Drive, Gmail, Google Sheets, Slack, and Notion Add your OpenAI API key for AI-powered email drafting Update the "Set Config Variables" node with your specific IDs: Google Drive parent folder ID Notion database ID Google Sheet ID Slack notification channel ID Set up the trigger folder in Google Drive where contracts will be uploaded Prepare your Google Sheet with columns: Client, Project Code, Notion Link, Slack Channel, Drive Folder Requirements Google Workspace account (Drive, Gmail, Sheets) Slack workspace with bot permissions to create channels Notion workspace with API integration OpenAI API key File naming convention Upload PDF files using this format: [email protected] Example: [email protected] How to customize Add more subfolders: Duplicate the "Create Deliverables Subfolder" node Customize the email prompt: Edit the "AI Draft Welcome Email" node Add more Notion properties: Extend the "Create Notion Project Page" node Change notification format: Modify the "Notify Team on Slack" message

What it is An automated LinkedIn content system that takes a simple form (idea + optional file), generates LinkedIn posts with OpenAI, stores them in Notion, builds Google Slides carousels, and auto-publishes posts (text, image, or document) to LinkedIn on a schedule while keeping Notion in sync. Setup steps Connect integrations: link your Notion database, LinkedIn account, Google Drive/Slides, OpenAI, and Gmail in n8n. Configure the form: set up the “LinkedIn Post Generator” form with the idea field and optional file upload. Map AI outputs: wire the OpenAI nodes so they write post title, funnel stage, and content into your Notion “LinkedIn Auto Posts” database. Enable carousel flow: connect Notion → OpenAI → Google Slides template → Google Drive copy → Notion update for “Create Carousel” items. Set scheduling: use the Schedule Trigger + Notion filters (“Ready for Post” + Scheduled Date) to pick which posts go out each hour. Publish & track: send posts to LinkedIn (text, image, or document), then update Notion status to “Posted” and, if needed, send yourself an email reminder for manual carousel actions.

Description This workflow continuously validates data quality using rules stored in Notion, runs anomaly checks against your SQL database, generates AI-powered diagnostics, and alerts your team only when real issues occur. Notion holds all data quality rules (source, field, condition, severity). n8n reads them on schedule, converts them into live SQL queries, and aggregates anomalies into a global run summary. The workflow then scores data health, creates a Notion run record, optionally opens a Jira issue, and sends a Slack/email alert including AI-generated root cause & recommended fixes. Target users Perfect for: DataOps Analytics Product Data BI Compliance ETL/ELT pipelines Platform reliability teams. Workflow steps How it works 1) Notion → Rules Database Each entry defines a check (table, field, condition, severity). 2) n8n → Dynamic Query Execution Rules are converted into SQL and checked automatically. 3) Summary Engine Aggregates anomalies, computes data quality score. 4) AI Diagnostic Layer Root cause analysis + recommended fix plan. 5) Incident Handling Notion Run Page + optional Slack/Email/Jira escalation. Silent exit when no anomaly = zero noise. Setup Instructions Create two Notion databases: Data Quality Rules → source / field / rule / severity / owner Data Quality Runs → run_id / timestamp / score / anomalies / trend / AI summary/recommendation Connect SQL database (Postgres / Supabase / Redshift etc.) Add OpenAI credentials for AI analysis Connect Slack + Gmail + Jira for incident alerts Set your execution schedule (daily/weekly) Expected outcomes Fully automated, rule-based data quality monitoring with minimal maintenance and zero manual checking. When everything is healthy, runs remain silent. When data breaks, the team is notified instantly: with context, root cause insight, and a structured remediation output. Tutorial video Watch the Youtube Tutorial video About me : I’m Yassin a Project & Product Manager Scaling tech products with data-driven project management. 📬 Feel free to connect with me on Linkedin

Description This workflow transforms raw SaaS metrics into a fully automated Product Health Monitoring & Incident Management system. It checks key revenue and usage metrics every day (such as churn MRR and feature adoption), detects anomalies using a statistical baseline, and automatically creates structured incidents when something unusual happens. When an anomaly is found, the workflow logs it into a central incident database, alerts the product team on Slack and by email, enriches the incident with context and AI-generated root-cause analysis, and produces a daily health report for leadership. It helps teams move from passive dashboard monitoring to a proactive, automated system that surfaces real issues with clear explanations and recommended next steps. Context Most SaaS teams struggle with consistent product health monitoring: Metrics live in dashboards that people rarely check proactively Spikes in churn or drops in usage are noticed days later There is no unified system to track, investigate, and report on incidents Post-mortems rely on memory rather than structured data Leadership often receives anecdotal updates instead of reliable daily reporting This workflow solves that by: Tracking core health metrics daily (revenue and usage) Detecting anomalies based on recent baselines, not arbitrary thresholds Logging all incidents in a consistent format Notifying teams only when action is needed Generating automated root-cause insights using AI + underlying database context Producing a daily “Product Health Report” for decision-makers The result: Faster detection, clearer understanding, and better communication across product, growth, and leadership teams. Target Users This template is ideal for: Product Managers & Product Owners SaaS founders and early-stage teams Growth, Analytics, and Revenue Ops teams PMO / Operations teams managing product performance Any organization wanting a lightweight incident monitoring system without building internal tooling Technical Requirements You will need: A Postgres / Supabase database containing your product metrics Slack credentials for alerts Gmail credentials for email notifications (Optional) Notion credentials for incident documentation and daily reports An OpenAI / Anthropic API key for AI-based root cause analysis Workflow Steps The workflow is structured into four main sections: 1) Daily Revenue Health Runs once per day, retrieves recent revenue metrics, identifies unusual spikes in churn MRR, and creates incidents when needed. If an anomaly is detected, a Slack alert and email notification are sent immediately. 2) Daily Usage Health Monitors feature usage metrics to detect sudden drops in adoption or engagement. Incidents are logged with severity, context, and alerts to the product team. 3) Root Cause & Summary For every open incident, the workflow: Collects additional context from the database (e.g., churn by country or plan) Uses AI to generate a clear root cause hypothesis and suggested next steps Sends a summarized report to Slack and email Updates the incident status accordingly 4) Daily Product Health Report Every morning, the workflow compiles all incidents from the previous day into: A daily summary email for leadership A Notion page for documentation and historical tracking This ensures stakeholders have clear visibility into product performance trends. Key Features Automated anomaly detection across revenue and usage metrics Centralized incident logging with metadata and raw context Severity scoring based on deviation from historical baselines Slack and email alerts for fast response AI-generated root cause analysis with recommended actions Daily product health reporting for leadership and PM teams Optional Notion integration for incident documentation System logging for observability and auditability Fully modular: you can add more metrics, alert channels, or analysis steps easily Expected Output When running, the workflow will generate: Structured incident records in your database Slack alerts for revenue or usage anomalies Email notifications with severity, baseline vs actual, and context AI-generated root cause summaries A daily health report summarizing all incidents (Optional) Notion pages for both incidents and daily reports System logs recording successful executions Tutorial video: Watch the Youtube Tutorial video About me I’m Yassin a Project & Product Manager Scaling tech products with data-driven project management. 📬 Feel free to connect with me on Linkedin

Who is it for This template is perfect for content creators, space enthusiasts, educators, and organizations who want to automatically generate and distribute engaging weekly space newsletters. It's especially useful for those who want to stay updated on space events without manual content creation. How it works This workflow automatically generates a comprehensive space newsletter every week by: Fetching the latest data from multiple NASA APIs (APOD, DONKI, NeoWS) Using AI to create an engaging newsletter from the raw data Creating a formatted document with the content Converting it to PDF format Distributing via email and archiving to your preferred platform Sending success notifications to your team Setup steps Get NASA API Key: Register at https://api.nasa.gov to get your API key (free) Configure OpenAI: Add your OpenAI credentials for content generation Set up Google Workspace: Connect Google Docs, Drive, and Gmail accounts Optional integrations: Configure Notion for archiving and Slack for notifications Customize schedule: Adjust the weekly trigger time to your preference Requirements NASA API key (free at api.nasa.gov) OpenAI API access Google Workspace account (Docs, Drive, Gmail) Optional: Notion and Slack accounts How to customize Modify the AI prompt to change the newsletter style and tone Adjust the date range for fetching space data Add or remove NASA API endpoints based on your interests Customize email recipients and notification channels Enable/disable the Notion archiving feature as needed

Description This workflow turns scattered user feedback into a structured product backlog pipeline. It collects feedback from three channels (Telegram bot, Google Form/Sheets, and Gmail), normalizes it, and sends it to an AI model that: Classifies the feedback (bug, feature request, question, etc.) Extracts sentiment and pain level Estimates business impact and implementation effort Generates a short summary Then a custom RICE-style priority score is computed, a Jira ticket is created automatically, a Notion page is generated for documentation, and a monthly product report is sent by email to stakeholders. It helps product & support teams move from “random feedback in multiple tools” to a repeatable, data-driven product intake process with zero manual triage. Context In most teams, feedback is: spread across emails, forms, and chat messages manually copy–pasted into Jira (when someone remembers) hard to prioritize objectively nearly impossible to review at the end of the month This workflow solves that by: Centralizing feedback from Telegram, Google Forms/Sheets, and Gmail Automatically normalizing all inputs into the same JSON structure Using AI to categorize, tag, summarize, and score each request Calculating a RICE-based priority adapted to your tiers (free / pro / enterprise) Creating a Jira issue with all the context and acceptance criteria Generating a Notion page for each feedback+ticket pair Sending a monthly “Product Intelligence Report” by email with insights & recommendations The result: less manual work, better prioritization, and a clear story of what users are asking for. Target Users This template is designed for: Product Managers and Product Owners SaaS teams with multiple feedback channels Support / CS teams that need a structured escalation path Project Managers who want objective, data-driven prioritization Any team that wants “feedback → backlog” automation without building a custom platform Technical Requirements You’ll need: Google Sheets credential Gmail credential Telegram Bot + Chat ID Google Form connected to a Google Sheet Jira credential (Jira Cloud) Notion credential OpenAI/ Anthropic credential for the AI analysis node An existing Jira project where tickets will be created A Notion database or parent page where feedback pages will be stored Workflow Steps The workflow is organized into four main sections: 1) Triggers (Multi-channel Intake) Telegram Trigger – Listens for new messages sent to your bot Google Form / Sheet Trigger – Listens for new form responses / rows Gmail Trigger – Listens for new emails matching your filter (e.g. [Feedback] in subject) All three paths send their payloads into a “Data Normalizer” node that outputs a unified structure: 2) Request Treated and Enriched (AI Analysis) Instant Reply (Telegram only) – Sends a quick “Thanks, we’re analysing your feedback” message User Enrichment – Enriches user tier based on mapping Message a Model (AI) classifies the feedback extracts tags scores sentiment, pain, business impact, effort generates a short summary & acceptance criteria JSON Parse / Merge – Merges AI output back into the original feedback object 3) Priority Calculation & Jira Ticket Creation Priority Calculator applies a RICE-style formula using: pain level business impact implementation effort user tier weight assigns internal priority: P0 / P1 / P2 / P3 maps to Jira priority: Highest / High / Medium / Low Create Jira Issue – Creates a ticket with: summary from AI description including raw feedback, AI analysis, and RICE breakdown labels based on tags priority based on the calculator Post-processing – Prepares a clean payload for notifications & logging IF (Source = Telegram) – Sends a rich Telegram message back to the user with: Jira key + URL category, priority, RICE score, tags, and estimated handling time Append to Google Sheet (Analytics Log) – Logs each feedback with: source, user, category, sentiment, RICE score, priority, Jira key, Jira URL Create Notion Page – Creates a documentation page linking: the feedback the Jira ticket AI analysis acceptance criteria 4) Monthly Reporting (Product Intelligence Report) Monthly Trigger – Runs once a month Query Google Sheet – Fetches all feedback logs for the previous month Aggregate Monthly Stats – Computes: feedback volume breakdown by category / sentiment / source / tier / priority average RICE, pain, and impact top P0/P1 issues and top feature requests Message a Model (AI) – Generates a written “Product Intelligence Report” with: executive summary key insights & trends top pain points strategic recommendations Parse Response: Extracts structured insights + short summary Create Notion Report Page with: metrics, charts-ready tables, insights, and recommendations Append Monthly Log to Google Sheet – Stores high-level stats for historical tracking Send Email with a formatted HTML report to stakeholders with: key metrics top issues recommendations link to the full Notion report Key Features Multi-channel intake: Telegram + Google Forms/Sheets + Gmail AI-powered triage: automatic category, sentiment, tags, and summary RICE-style priority scoring with tier weighting Automatic Jira ticket creation with full context Notion documentation for each feedback and for monthly reports Google Sheets analytics log for exploration and dashboards Monthly “Product Intelligence Report” sent automatically by email Designed to be adaptable: you can plug in your own labels, tiers, and scoring rules Expected Output When the workflow is running, you can expect: A Jira issue created automatically for each relevant feedback A confirmation email A Telegram confirmation message when the feedback comes from Telegram A Google Sheet filled with normalized feedback and scoring data A Notion page per feedback/ticket with AI analysis and acceptance criteria Every month: a Notion “Monthly Product Intelligence Report” page a summary email with key metrics and insights for your stakeholders How it works Trigger – Listens to Telegram / Google Forms / Gmail Normalize – Converts all inputs to a unified feedback format Enrich with AI – Category, sentiment, pain, impact, effort, tags, summary Score – Computes RICE-style priority and maps to Jira priority Create Ticket – Opens a Jira issue + Notion page + logs to Google Sheets Notify – Sends Telegram confirmation (if source is Telegram) Report – Once a month, aggregates everything and sends a Product Intelligence Report Tutorial Video Tutorial video: Watch the Youtube Tutorial video About me I’m Yassin a Project & Product Manager Scaling tech products with data-driven project management. 📬 Feel free to connect with me on Linkedin

Description Automate your weekly social media analytics with this end-to-end AI reporting workflow. 📊🤖 This system collects real-time Twitter (X) and Facebook metrics, merges and validates data, formats it with JavaScript, generates an AI-powered HTML report via GPT-4o, saves structured insights in Notion, and shares visual summaries via Slack and Gmail. Perfect for marketing teams tracking engagement trends and performance growth. 🚀💬 What This Template Does 1️⃣ Starts manually or on-demand to fetch the latest analytics data. 🕹️ 2️⃣ Retrieves follower, engagement, and post metrics from both X (Twitter) and Facebook APIs. 🐦📘 3️⃣ Merges and validates responses to ensure clean, complete datasets. 🔍 4️⃣ Runs custom JavaScript to normalize and format metrics into a unified JSON structure. 🧩 5️⃣ Uses Azure OpenAI GPT-4o to generate a visually rich HTML performance report with tables, emojis, and insights. 🧠📈 6️⃣ Saves the processed analytics into a Notion “Growth Chart” database for centralized trend tracking. 🗂️ 7️⃣ Sends an email summary report to the marketing team, complete with formatted HTML insights. 📧 8️⃣ Posts a concise Slack update comparing platform performance and engagement deltas. 💬 9️⃣ Logs any validation or API errors automatically into Google Sheets for debugging and traceability. 🧾 Key Benefits ✅ Centralizes all social metrics into a single automated flow. ✅ Delivers AI-generated HTML reports ready for email and dashboard embedding. ✅ Reduces manual tracking with Notion and Slack syncs. ✅ Ensures data reliability with built-in validation and error logging. ✅ Gives instant, visual insights for weekly marketing reviews. Features Multi-platform analytics integration (Twitter X + Facebook Graph API). JavaScript node for dynamic data normalization. Azure OpenAI GPT-4o for HTML report generation. Notion database update for long-term trend storage. Slack and Gmail nodes for instant sharing and communication. Automated error capture to Google Sheets for workflow reliability. Visual, emoji-enhanced reporting with HTML formatting and insights. Requirements Twitter OAuth2 API credentials for access to public metrics. Facebook Graph API access token for page insights. Azure OpenAI API key for GPT-4o report generation. Notion API credentials with write access to “Growth Chart” database. Gmail OAuth2 credentials for report dispatch. Slack Bot Token with chat:write permission for posting analytics summaries. Google Sheets OAuth2 credentials for maintaining the error log. Environment Variables TWITTER_API_KEY FACEBOOK_ACCESS_TOKEN AZURE_OPENAI_API_KEY NOTION_GROWTH_DB_ID GMAIL_REPORT_RECIPIENTS SLACK_REPORT_CHANNEL_ID GOOGLE_SHEET_ERROR_LOG_ID Target Audience 📈 Marketing and growth teams tracking cross-platform performance 💡 Social media managers needing automated reporting 🧠 Data analysts compiling weekly engagement metrics 💬 Digital agencies managing multiple brand accounts 🧾 Operations and analytics teams monitoring performance KPIs Step-by-Step Setup Instructions 1️⃣ Connect all API credentials (Twitter, Facebook, Notion, Gmail, Slack, and Sheets). 2️⃣ Paste your Facebook Page ID and Twitter handle in respective API nodes. 3️⃣ Verify your Azure OpenAI GPT-4o connection and prompt text for HTML report generation. 4️⃣ Update your Notion database structure to match “Growth Chart” property names. 5️⃣ Add your marketing email in the Gmail node and test delivery. 6️⃣ Specify the Slack channel ID where summaries will be posted. 7️⃣ Optionally, connect a Google Sheet tab for error tracking (error_id, message). 8️⃣ Execute the workflow once manually to validate data flow. 9️⃣ Activate or schedule it for weekly or daily analytics automation. ✅

📘 Description: This end-to-end automation transforms developer support emails into actionable FAQs and sentiment insights using Azure OpenAI GPT-4o, Gmail, Notion, Slack, and Google Sheets. It not only classifies and summarizes each email into a Notion knowledge base but also detects sentiment and urgency, alerts the team on Slack for critical messages, and automatically replies to users with acknowledgment emails. Every failed or malformed payload is transparently logged in Google Sheets — ensuring zero message loss and full visibility into the AI pipeline. The result is a complete AI-driven customer support loop, from inbox to Notion and back to the sender. ⚙️ What This Workflow Does (Step-by-Step) 🟢 Gmail Polling Trigger – Developer Support Inbox Continuously monitors the developer support Gmail inbox every minute for new messages. Extracts the subject, sender, and snippet to initiate AI analysis. 🔍 Validate Email Payload (IF Node) Checks if each incoming email contains valid message data (like message ID and subject). ✅ True Path: continues to AI analysis ❌ False Path: logs error details in Google Sheets for debugging. 🧠 Configure GPT-4o Model (Azure OpenAI) Initializes GPT-4o as the reasoning model for semantic classification of developer support content. 🤖 Analyze & Classify Developer Email (AI Agent) Interprets each email and produces a structured JSON with: Problem summary FAQ category (e.g., API, Billing, UI) 2–3 line solution “Is recurring” flag for common issues. 🧹 Parse & Clean AI JSON Output (Code Node) Removes code formatting (json) and safely parses GPT-4o’s output into clean JSON. If parsing fails, the raw text and error message are sent to Google Sheets for review. 📘 Save FAQ Entry to Notion Database Creates a new FAQ record inside Notion’s “Release Notes” database. Stores the problem, category, and solution as searchable structured fields. 💬 Announce New FAQ in Slack Posts a summary of the new FAQ in Slack with title, category, and answer preview. Includes a link to view the Notion record instantly for team visibility. 🧠 Configure GPT-4o Model (Sentiment Analysis) Sets up another GPT-4o instance focused on understanding tone, emotion, and urgency of each email. ❤️ Analyze Email Sentiment & Urgency (AI Agent) Analyzes the email content to determine: Urgency: Low, Medium, High, Critical Sentiment: Positive, Neutral, Frustrated, Angry Immediate response required? (Yes/No) Provides a short “reason” explaining the classification. 🧹 Parse AI JSON Output – Sentiment Analysis Cleans and validates the JSON from sentiment AI for consistent field names (urgency, sentiment, reason). ⚖️ Filter Critical or High-Urgency Emails (IF Node) Checks if urgency == High or Critical. ✅ True Path: triggers escalation to Slack ❌ False Path: ends quietly to avoid unnecessary noise. 🚨 Alert Team in Slack – Critical Issue Sends an immediate Slack alert with: Email snippet Detected urgency and sentiment Short justification (reason) CTA for urgent action. Ensures fast team response to high-priority issues. 📨 Send Acknowledgment Email to Sender (Gmail Node) Automatically replies to the customer confirming receipt and providing a short AI-generated solution summary. Thanks the user and links the response back to the knowledge base — creating a closed-loop support experience. 🪶 Log Workflow Errors to Google Sheets Appends all failed validations, missing fields, or JSON parsing issues to the “error log sheet.” Provides a live audit trail for monitoring workflow health. 🧩 Prerequisites Gmail account with API access Azure OpenAI (GPT-4o) credentials Notion API integration (for FAQ database) Slack API access (for team alerts) Google Sheets (for logging errors) 💡 Key Benefits ✅ Converts support emails into structured FAQs automatically ✅ Detects sentiment & urgency for faster triage ✅ Keeps Notion knowledge base continuously updated ✅ Sends Slack alerts for critical issues instantly ✅ Maintains transparent error logs in Google Sheets 👥 Perfect For Developer Relations or Product Support Teams SaaS companies managing large support volumes Teams using Gmail, Notion, and Slack for internal comms Startups automating customer response and knowledge creation