Notion and OpenAI integration

Overview This template is ideal for photographers, graphic designers, and creative professionals who manage large volumes of visual assets. It is also perfect for Digital Asset Managers looking for a customizable, automated solution to organize files without manual tagging. What it does When a new image is uploaded to a designated "Inbox" folder in Google Drive, the workflow performs the following actions: AI Analysis**: Uses GPT-4o to analyze the image content, generating a description, extracting dominant colors, and determining the category (e.g., Portrait vs. Landscape). Safety Check**: Runs an AI-based NSFW filter. If inappropriate content is detected, the process stops, and a warning is sent to Slack. Smart Sorting**: Automatically moves the file into the correct subfolder based on its category. Contextual Tagging**: Generates specific tags (e.g., "smile, natural light" for portraits) and updates the file metadata. Archiving**: Creates a comprehensive entry in a Notion Database with the image link, tags, and description. Notification**: Sends a success alert to Slack with a summary of the archived asset. How to set up This workflow is designed to be plug-and-play using a central configuration node. Credentials: Connect your Google Drive, OpenAI, Notion, and Slack accounts in n8n. Set Variables: Open the node named "Workflow Configuration". Replace the placeholder IDs with your actual Folder IDs (for Inbox, Portraits, and Landscapes), Notion Database ID, and Slack Channel ID. Prepare Notion: Create a Database in Notion with the following properties: Category (Select) Description (Rich Text) Image URL (URL) Tags (Rich Text) Date (Date) Requirements n8n Version**: 1.0 or later. OpenAI API: Access to the **gpt-4o model is recommended for accurate vision analysis. Google Drive**: A specific folder structure (Inbox, Portraits, Landscapes). Notion**: A dedicated database for the portfolio. Slack**: A channel for notifications. How to customize Add Categories**: You can expand the "Category Router" (Switch node) to include more specific genres like "Architecture," "Macro," or "Street," and add corresponding paths. Adjust Prompts**: Modify the system prompts in the AI nodes to change the language of the output or the style of the generated tags. Change Output**: Connect to Airtable or Excel instead of Notion if you prefer a different database system.

📊 Description Automate your YouTube research workflow by extracting audio from any video, transcribing it with Whisper AI, and generating structured GEO (Goal–Execution–Outcome) summaries using GPT-4o-mini. 🎥🤖 This template transforms unstructured video content into actionable, searchable insights that are automatically stored in Notion with rich metadata. It’s ideal for creators, educators, analysts, and knowledge workers who want to convert long videos into concise, high-quality summaries without manual effort. Perfect for content indexing, research automation, and knowledge-base enrichment. 📚✨ 🔁 What This Template Does • Triggers on a schedule to continuously process new YouTube videos. ⏰ • Fetches video metadata (title, description, thumbnails, published date) via the YouTube API. 🎥 • Downloads audio using RapidAPI and prepares it for transcription. 🎧 • Transcribes audio into text using OpenAI Whisper. 📝 • Skips invalid entries when no transcript is generated. 🚫 • Merges the transcript with metadata for richer AI context. 🔗 • Uses GPT-4o-mini to generate Goal, Execution, Outcome, and Keywords via structured JSON. 🤖📊 • Parses the AI-generated JSON into Notion-friendly formats. 🔍 • Creates a Notion page with GEO sections, keywords, and video metadata. 📄🏷️ • Produces a fully searchable knowledge record for every processed video. 📚✨ ⭐ Key Benefits ✅ Converts long YouTube videos into concise, structured knowledge ✅ AI-powered GEO summaries improve comprehension and recall ✅ Zero manual transcription or note-taking — 100% automated ✅ Seamless Notion integration creates a powerful video knowledge base ✅ Works on autopilot with scheduled triggers ✅ Saves hours for educators, researchers, analysts, and content teams 🧩 Features YouTube API integration for metadata retrieval RapidAPI audio downloader OpenAI Whisper transcription GPT-4o-mini structured analysis through LangChain Memory buffer + structured JSON parser for consistent results Automatic Notion page creation Fail-safe transcript validation (IF node) Metadata + transcript merging for richer AI context GEO (Goal–Execution–Outcome) summarization workflow 🔐 Requirements YouTube OAuth2 credentials OpenAI API key (Whisper + GPT-4o-mini) Notion API integration token + database ID RapidAPI key for YouTube audio downloading n8n with LangChain nodes enabled 🎯 Target Audience YouTubers and content creators archiving their content Researchers and educators summarizing long videos Knowledge managers building searchable Notion databases Automation teams creating video intelligence workflows 🛠️ Step-by-Step Setup Instructions Add YouTube OAuth2, OpenAI, Notion, and RapidAPI credentials. 🔑 Replace the placeholder RapidAPI key in the “Get YouTube Audio” node. ⚙️ Update the Notion database ID where summaries should be stored. 📄 Configure the Schedule Trigger interval based on your needs. ⏰ Replace the hardcoded video ID (if present) with dynamic input or playlist logic. 🔗 Test with a sample video to verify transcription + AI + Notion output. ▶️ Enable the workflow to run automatically. 🚀

This workflow automatically creates in-depth, SEO-friendly Arabic articles based on any keyword you provide. It researches the topic, generates a full article outline, writes every section in Arabic, and saves the final article directly to your Notion workspace—all in a few clicks. How It Works Step 1:** You submit a simple web form with your keyword and (optionally) an article title. Step 2:** The workflow researches the topic using advanced AI, gathers trending questions from Google, and creates a detailed, structured outline. Step 3:** Each section of the article is written in Arabic by AI, following best SEO practices and including real FAQs. Step 4:** The completed article is automatically formatted and saved to your Notion database, ready for review or publishing. Setup Instructions What you need:** An OpenAI API key (for AI-powered writing and outline generation) An OpenRouter API key (for research via Perplexity/Sonar AI) A Notion account and Notion API integration (for saving articles) DataForSEO account (for fetching Google "People Also Ask" questions) How to set up:** Import the workflow into your n8n instance. Connect your API credentials for OpenAI, OpenRouter, Notion, and (optionally) DataForSEO. Update your Notion database ID in the workflow settings. Deploy the workflow. Fill out the web form to generate your first article. Setup time:** 10–20 minutes if you already have your accounts. Tip: You can fully customize the outline and writing prompts for your target audience or topic. The workflow is modular—easy to adapt for different languages or content styles.

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)

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 |

This n8n workflow orchestrates a powerful suite of AI Agents and automations to manage and optimize various aspects of an e-commerce operation, particularly for platforms like Shopify. It leverages Langchain AI Agents powered by OpenAI, along with a variety of integrated services, to handle customer support, product recommendations, abandoned cart recovery, inventory management, post-purchase engagement, review monitoring, marketing campaigns, and operational alerts. Tools & Services Used n8n:** Core automation and orchestration platform. Langchain AI Agents:** For intelligent decision-making, task execution, and natural language processing across multiple modules. OpenAI (e.g., GPT-4o Mini):** Powers the AI Agents and direct LLM calls for tasks like sentiment analysis and content generation. Shopify (Conceptual - requires specific API/Webhook setup):** For triggers (abandoned cart, order delivered) and actions (fetching products/inventory, creating discounts). Google Sheets:** Used as a data store for FAQs, logging low stock, review databases, and campaign outcomes. Slack:** For internal team notifications (escalations, low stock, negative reviews). Twilio (or similar SMS service):** For sending SMS alerts (cart recovery, restock notifications). Email (Generic SMTP/API):** For sending various emails (AI responses, recovery emails, review requests, campaign emails). Notion:** For logging customer interactions. HTTP Request Nodes:** For generic API interactions (fetching customer info, product search, CRM, campaign tracking). Webhook Nodes:** For receiving external triggers (incoming messages, product inquiries, review submissions, restock signals). Cron Nodes:** For scheduled tasks (hourly inventory checks, daily campaigns). Workflow Overview This workflow is a collection of interconnected sub-workflows, each designed to automate a specific e-commerce process: Customer Support & Escalation Handles incoming customer messages, attempts to answer with FAQs or order status using an AI Agent, and escalates to a human agent via Slack if necessary. Logs interactions to Notion. Product Inquiry & Recommendation Processes product inquiries, searches a product catalog, filters/sorts results, uses an AI Agent for selection refinement, and can build a product carousel for user response. Abandoned Cart Recovery Detects abandoned carts, fetches customer data, uses an AI Agent to strategize recovery (e.g., offer discounts), and sends follow-up communications via email/SMS. Inventory Management (Low Stock Alert) Periodically checks inventory levels, identifies low-stock items, uses an AI Agent to format reports, and notifies relevant teams via Slack/email, logging to Google Sheets. Post-Purchase Review Request After a set period post-delivery, an AI Agent drafts and initiates sending a personalized product review request email to the customer. Review Monitoring & Flagging Listens for new product reviews, uses an AI model for sentiment analysis, alerts a support team for negative reviews via Slack, and logs all reviews. Scheduled Marketing Campaigns Fetches target audiences, segments them, uses AI Agents to generate tailored email content, sends campaigns, tracks basic metrics, and employs another AI Agent to suggest campaign adjustments. Manual Restock Alert & Logging Allows triggering a restock notification via webhook, sends an SMS alert, and uses an LLM to log the event. Prerequisites Ensure you have active accounts and necessary API keys/credentials for: OpenAI Shopify (or your e-commerce platform API) Google Cloud (for Google Sheets API) Slack (Bot Token) Twilio (Account SID, Auth Token, From Number) Your Email Sending Service (SMTP details or API key) Notion (Integration Token) Any other external APIs used (e.g., CRM, Product Search, Customer Info, Campaign Tracking) How to Use This Template Step 1: Import the Template Open your n8n instance. Go to “Workflows” > “Create Workflow”. Click the three dots (…) > “Import from File”. Upload the downloaded JSON file of this workflow. Step 2: Configure Critical Nodes & Credentials This is the most crucial step. Systematically go through each of the 8 sections outlined in the Sticky Notes within the workflow and configure the relevant nodes: SECTION 1 (Customer Support):** Get FAQs Data (Google Sheets): Set sheetId to YOUR_SHEET_ID_HERE and configure Google API credentials. Lookup Order API (HTTP Request): Set url to YOUR_ORDER_LOOKUP_API_ENDPOINT_HERE. Notify Human Agent (Slack): Configure Slack API credentials and channel. Send AI Response to Customer (HTTP Request): Set url to YOUR_CUSTOMER_RESPONSE_API_ENDPOINT_HERE. Store to Notion (Notion): Set pageId (Database ID) to YOUR_NOTION_DATABASE_URL_OR_ID_HERE and Notion API credentials. SECTION 2 (Product Inquiry):** Search Products API (HTTP Request): Set url to YOUR_PRODUCT_SEARCH_API_ENDPOINT_HERE. Build Product Carousel (Function): Update YOUR_DEFAULT_PRODUCT_IMAGE_URL_HERE and YOUR_FALLBACK_PRODUCT_URL_HERE. Respond to User with Carousel (HTTP Request): Set url for sending carousel data. SECTION 3 (Abandoned Cart):** Detect Abandoned Cart (Shopify Trigger): Configure Shopify credentials and ensure the correct trigger event. Fetch Customer Info (HTTP Request): Set url to YOUR_CUSTOMER_INFO_API_ENDPOINT_HERE. Create Discount (if applicable) (Shopify): Configure Shopify credentials and review discount creation parameters. Send Recovery Email (HTTP Request/Email Send): Set email API endpoint or SMTP credentials. Send SMS Reminder (Twilio): Configure Twilio credentials and from number (YOUR_TWILIO_PHONE_NUMBER_HERE). SECTION 4 (Low Stock Alerts):** Fetch Inventory (Shopify): Configure Shopify credentials. Notify Slack (Low Stock) (Slack): Configure Slack API credentials and channel. Generate Email Report (Low Stock) (Email Send): Configure SMTP/email credentials and to address. Export to Sheets (Low Stock Log) (Google Sheets): Set sheetId to YOUR_INVENTORY_LOG_SHEET_ID_HERE and Google API credentials. SECTION 5 (Review Request):** Order Delivered Trigger (Shopify Trigger): Configure Shopify credentials. Fetch Customer Data (for Review) (HTTP Request): Set url to YOUR_CUSTOMER_INFO_API_ENDPOINT_HERE. DraftReviewRequestEmail (Tool): Update YOUR_PRODUCT_PAGE_URL_BASE_HERE and YOUR_WEBSITE_URL_HERE. Send Review Request Email (Email Send): Configure SMTP/email credentials. SECTION 6 (Review Monitoring):** OpenAI node (currently Assistant Create): IMPORTANT: For sentiment analysis, change this node type to @n8n/n8n-nodes-langchain.lmChatOpenAi. Then configure its prompt for sentiment analysis (e.g., System: "Analyze sentiment. Respond with positive, negative, or neutral." User: "Review: {{ $('Listen for Review Webhook').first().json.body.review_text }}"). Set OpenAI credentials. Notify Support Team (Negative Review) (Slack): Configure Slack API credentials and channel. Add Review to Database (Google Sheets): Set sheetId to YOUR_REVIEWS_DATABASE_SHEET_ID_HERE and Google API credentials. SECTION 7 (Marketing Campaigns):** Fetch Target Audience API (HTTP Request): Set url to YOUR_CRM_API_FOR_AUDIENCE_HERE. GenerateCampaignEmailVariant (Tool): Update YOUR_CAMPAIGN_LANDING_PAGE_HERE. Send Campaign Email (Email Send): Configure SMTP/email credentials. Track Campaign Metrics API (HTTP Request): Set url for YOUR_CAMPAIGN_TRACKING_API_ENDPOINT_HERE. Log Campaign Outcome & Adjustments (Google Sheets): Set sheetId to YOUR_CAMPAIGN_LOG_SHEET_ID_HERE and Google API credentials. SECTION 8 (Manual Restock):** Send SMS Alert (Restock) (Twilio): Configure Twilio credentials, from number (YOUR_TWILIO_PHONE_NUMBER_HERE), and to (WAREHOUSE_MANAGER_PHONE_NUMBER_HERE). OpenAI Chat Model (for Basic LLM Chain): Configure OpenAI credentials. Send restock Request Email1 (Email Send): Configure SMTP/email credentials and to address. Step 3: Implement Tool Logic Go into each @n8n/n8n-nodes-langchain.toolCode node (e.g., SearchFAQs, RefineProductSelection, DetermineDiscount, etc.). The current JavaScript is placeholder. You MUST replace this with actual JavaScript logic that performs the intended action for each tool, often by making API calls or processing data based on the agent's input. Step 4: Review AI Agent Prompts & Tool Connections Carefully review the systemMessage for each AI Agent node to ensure it accurately reflects its role and how it should use its tools. CRITICAL:** Verify the index for tools connected to each AI Agent. Each tool connected to a single agent must have a unique, sequential index (0, 1, 2, ...). AI Agent (ID cd71629d-... in your JSON): SearchFAQs tool should be index: 0, LookupOrderStatus tool should be index: 1. (Please double-check and correct the connection indices in your actual workflow file if they are still both pointing to index 0). AI Agent6 (ID 4c24879b-... in your JSON): AnalyzeCampaignPerformance tool should be index: 0, SuggestCampaignAdjustments tool should be index: 1. (Please double-check and correct the connection indices in your actual workflow file if they are still both pointing to index 0). Initial Test Run Disable most of the workflow sections initially. Focus on one section at a time (e.g., Section 1: Customer Support). Manually trigger the first node (e.g., simulate an incoming webhook). Execute node by node, checking the output and debugging configurations and tool logic. For time-based triggers (Cron, Wait nodes), temporarily shorten the durations for faster testing. Once a section is working, move to the next. Use Cases E-commerce Businesses (Shopify, etc.):** To automate customer service, marketing, sales recovery, and operations. Digital Marketing Agencies:** To offer advanced automation services to e-commerce clients. Freelancers & Consultants:** To build and deploy sophisticated AI-driven e-commerce solutions. n8n Developers:** As a comprehensive template and learning resource for building complex multi-agent systems.

AI Twitter Content Machine – Write, Refine & Publish Tweets on Autopilot This workflow is perfect for creators, solopreneurs, and personal brands who want to consistently publish bold, high-performing content on X (Twitter) — without writing a single line themselves. After a one-time setup, it automatically generates tweet ideas, writes in your voice, evaluates post quality, avoids duplicates, and publishes directly to Twitter. All approvals and rewrites are handled in a conversational loop powered by OpenAI, Discord, and Google Sheets. Whether you’re building a personal brand or growing your startup audience, this tool will help you stay active, edgy, and relevant — with zero friction. How it works Distill what your flow does in a few high-level steps. Loads your brand brief from a sub-workflow. Generates a tweet idea aligned with your tone. Checks Google Sheets to ensure the idea hasn’t been used. Writes the post. Evaluates it using a feedback sub-workflow — if the quality score is below 0.7, it rewrites the post. Refines tone and voice using a Rewriter Agent that mimics your past content (from a Google Sheet). Sends the final post to a Discord channel for manual approval. On approval, posts directly to Twitter (X) and logs it to Google Sheets (History and Examples tabs). Set up steps Give users an idea of how long setup will take. Don’t describe every detail. Keep detailed descriptions in sticky notes inside your workflow. Key benefits No burnout, no block – Stop spending energy thinking what to tweet. AI handles everything. Style-matching – Posts sound like you, not a generic robot. Based on your real writing. Fast & scalable – Publish once or five times a day — it’s up to you. Avoid duplicates – Each idea is checked against your post history. Human-in-the-loop – You approve final posts via Discord. No rogue tweets. Integrations required n8n OpenAI API Google Sheets Twitter (OAuth2) Discord (for approval) Notion (optional for brand brief storage)

This workflow creates a powerful AI assistant in Telegram that helps you manage your tasks in Notion. The assistant leverages OpenAI's language models to understand natural language commands, process voice messages, and maintain context through conversations. Key features: Processes both text and voice messages in Telegram Transcribes voice messages automatically Maintains conversation context with memory Manages Notion tasks through a custom tool: • List all tasks • Add new tasks with priority (today/later) • Complete or uncomplete tasks • Change task timing The workflow consists of two main parts: AI Agent section: Handles Telegram connectivity, message processing, voice transcription, and conversation management Notion Tool section: Implements the custom tool that connects to your Notion database, allowing the AI to interact with your tasks Setup requires: A Telegram bot token OpenAI API credentials Notion integration token and database ID Example Notion Database Perfect for personal productivity, team task management, or as a foundation for building more complex AI assistants with additional tools.

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)

📦 n8n Template Submission – “7-Day Content Bloom” by Shelly-Ann Davy, The Workflow Muse 🌸 What it does Drop one article URL or brain-dump idea into this workflow and watch it blossom into a week of graceful, feminine content for Instagram, X/Twitter, Pinterest, and your Sunday-email love-note. AI writes every caption, tweet, pin title, FAQ, and CTA in my signature warm-neuroscience tone—then tucks everything into a clean Notion page for your final approval. Optional one-click scheduling to Tailwind & Pinterest keeps your feed blooming while you sip tea. 👩‍🎨 Who it’s for Creators, moms, and gentle-growth entrepreneurs who crave consistent visibility without hustle energy. 🪄 How it works Trigger – Webhook or Notion row status = “Ready to Repurpose”. AI Muse – gpt-4o crafts platform-specific copy in strict JSON. Notion Oasis – Every caption, tweet, pin, and FAQ lands in a single, beautiful page. Optional Bloom – Auto-schedule IG & Pinterest via Tailwind (toggle on/off). Whisper notification – Slack/Discord ping when the bouquet is ready. 🛠️ One-time setup (5 min) | Asset | Where to find | Notes | |---|---|---| | Notion database | Duplicate template | pastel palette included | | OpenAI key | n8n → Credentials → OpenAI | no keys hard-coded | | Tailwind & Pinterest tokens | Optional; HTTP Header Auth credentials | only if you want autopilot | 🧪 Quick test Send this to your webhook URL: { "source_url": "https://yourblog.com/neuroscience-productivity", "idea_text": "" } …or flip any Notion row to Ready to Repurpose and watch the magic. 📊 Privacy & cost Data stays in your Notion, Tailwind, and Pinterest accounts. OpenAI charges only for the tokens you use (~$0.04 per run on average). 🎨 Brand voice baked in Elegant, feminine, neuroscience-backed, and always ending with a gentle CTA to your free Sunday-reset Notion template. Ready to let your next big idea bloom across the internet—stress-free? Activate the workflow, and let the Muse do the rest. 🌷

🧾 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.

Tired of manually copying and pasting Telegram messages into Notion? This n8n workflow solves that! What it does: This powerful workflow automates the process of saving your Telegram activity to Notion. Whether it's text chats, important voice memos, or shared audio files, "TeleNotion Scribe" captures it all. But it doesn't stop there! It also leverages AI to generate clear, concise summaries of your messages, giving you instant context and saving you time. Key Features: Seamless Telegram Integration:** Automatically triggers on new Telegram messages. Versatile Content Capture:** Saves text messages, voice notes, and audio files. AI-Powered Summarization:** Get instant summaries of your chats with advanced language models. Notion Database Automation:** Creates organized entries in your Notion database. Customizable:** Easily adapt the workflow to your specific Notion database structure. Time-Saving:** Eliminate manual data entry and streamline your workflow. Improved Organization:** Keep all your Telegram information neatly organized in Notion. Who is this for? Project Managers:** Track team communications and decisions. Researchers:** Log observations and data from chat groups. Note-Takers:** Capture meeting discussions and action items. Anyone who wants to save and organize their Telegram chats!** What you'll get: The complete n8n workflow JSON file. Stop letting valuable information slip through the cracks. Invest in "TeleNotion Scribe" and transform your Telegram chats into actionable data! Requirements: n8n instance (cloud or self-hosted) Telegram API credentials Notion API integration token OpenAI API key DeepSeek API key

Streamline Your Communication and Task Management with the Telegram to Notion Automation This powerful automation effortlessly connects your Telegram messages with your Notion workspace, transforming how you capture information and manage tasks. What it does: Automatic Capture: Instantly captures messages, voice notes, and audio files sent to your designated Telegram chat. Intelligent Processing: Text messages are automatically summarized into clear, plain-text descriptions using advanced AI (DeepSeek). Voice notes and audio files are transcribed into text using OpenAI's powerful transcription service. Organized in Notion: Text message summaries are added as new entries to your "Tasks Tracker" database in Notion, with the original message as the title and the summary as the description. The current date is also included. Transcriptions of voice notes and audio files are saved to your "Transcribes" database in Notion, making them easily searchable and reviewable. Saves You Time: Eliminates the manual effort of copying and pasting information, transcribing audio, and creating new entries in Notion. Boosts Productivity: Keeps all your important communications and tasks organized in one central location. This automation is perfect for anyone who uses Telegram for work or personal notes and wants to seamlessly integrate that information into their Notion workflow for better organization and productivity.

Automatically backs up your workflows to Github and generates documentation in a Notion database. Weekly run, uses the "internal-infra" tag to look for new or recently modified workflows Uses a Notion database page to hold the workflow summary, last updated date, and a link to the workflow Uses OpenAI's 4o-mini to generate a summarization of what the workflow does Stores a backup of the workflow in GitHub (recommend a private repo) Sends notification to Slack channel for new or updated workflows Who is this for Anyone seeking backup of their most important workflows Anyone seeking version control for their most important workflows Credentials required N8N: You will need an N8N credential created so the workflow can query the N8N instance to find all active workflows with the "internal-infra" tag Notion: You will need an Notion credential created OpenAI: You will need an OpenAI credential, unless you intend on rewiring this with your AI of choice (ollama, openrouter, etc.) GitHub: You will need an GitHub credential Slack: You will require an Slack credential, recommend a Bot / access token configuration Setup Notion Create a database with the following columns. Column type is specified in [type]. Workflow Name [text] isActive (dev) [checkbox] Error workflow setup [checkbox] AI Summary [text] Record last update [date/time] URL (dev) [text/url] Workflow created at [date/time] Workflow updated at [date/time] Slack Create a channel for updates to be posted into Github Create a private repo for your workflows to be exported into N8N Download & install the template Configure the blocks to use your N8N, Notion, OpenAI & Slack credentials for your own Edit the "Set Fields" block and change the URL to that of your N8N instance (cloud or self-hosted) Edit the "Add to Notion" action and specify the Database page you wish to update Edit the Slack actions to specify the Channel you want slack notifications posted to Edit the GitHub actions to specify the Repository Owner & Repository Name Sample output in Notion Workflow diagram

Who is this for? This workflow template is perfect for content creators, researchers, students, or anyone who regularly works with audio files and needs to transcribe and summarize them for easy reference and organization. What problem does this workflow solve? Transcribing audio files and summarizing their content can be time-consuming and tedious when done manually. This workflow automates the process, saving users valuable time and effort while ensuring accurate transcriptions and concise summaries. What this workflow does This template automates the following steps: Monitors a specified Google Drive folder for new audio files Sends the audio file to OpenAI's Whisper API for transcription Passes the transcribed text to GPT-4 for summarization Creates a new page in Notion with the summary Setup To set up this workflow: Connect your Google Drive, OpenAI, and Notion accounts to n8n Configure the Google Drive node with the folder you want to monitor for new audio files Set up the OpenAI node with your API key and desired parameters for Whisper and GPT-4 Specify the Notion database where you want the summaries to be stored How to customize this workflow Adjust the Google Drive folder being monitored Modify the OpenAI node parameters to fine-tune the transcription and summarization process Change the Notion database or page properties to match your preferred structure With this AI-powered workflow, you can effortlessly transcribe audio files, generate concise summaries, and store them in a structured manner within Notion. Streamline your audio content processing and organization with this automated template.

This workflow automates the process of retrieving Hugging Face paper summaries, analyzing them with OpenAI, and storing the results in Notion. Here’s a breakdown of how it works: ⏰ Scheduled Trigger: The flow is set to run automatically at 8 AM on weekdays. 📄 Fetching Paper Data: It fetches Hugging Face paper summaries using their API. 🔍 Data Check: Before processing, the workflow checks if the paper already exists in Notion to avoid duplicates. 🤖 Content Analysis with OpenAI: If the paper is new, it extracts the summary and uses OpenAI to analyze the content. 📥 Store Results in Notion: After analysis, the summarized data is saved in Notion for easy reference. ⚙️ Set Up Steps for Automation Follow these steps to set up this automated workflow with Hugging Face, OpenAI, and Notion integration: 🔑 Obtain API Tokens: You’ll need the Notion and OpenAI API tokens to authenticate and connect these services with n8n. 🔗 Integration in n8n: Link Hugging Face, OpenAI, and Notion by configuring the appropriate nodes in n8n. 🔧 Configure Workflow Logic: Set up a cron trigger for automatic execution at 8 AM on weekdays. Use an HTTP request node to fetch Hugging Face paper data. Add logic to check if the data already exists in Notion. Set up the OpenAI integration to analyze the paper’s summary. Store the results in Notion for easy access and reference. Result:

This template is based on the following template. Thank you for the groundwork, Matheus. How it works: Store your snippets of text in a Notion table. Each snippet should have an image associated with it (copy + pasted into the text) Connect to your table via a Notion "integration", from which N8N can then query your pre-meditated posts The text is fed through an OpenAI assistant to boost engagement via formatting The re-formatted text along with the image pulled from the Notion snippet are combined into a post for your LinkedIn The row in the original Notion table from step 1 containing this post is set to a status of "Done" Set up steps: You will need to create a Notion "integration", which will yield a "secret key" which you enter into your N8N as a "Credential". You will need to create a LinkedIn "app" in order to post on your behalf. When creating your LinkedIn "app", you will be required to link this "app" to a company page on LinkedIn. If you are doing this for yourself, seach for the "Default Company Payge (for API testing)", and select this page as it is provided by LinkedIn for individuals. You can find your LinkedIn apps here, and if you get stuck, further instructions on setting up this workflow (including this LinkedIn OAuth piece) can be found in this YouTube Video Aide to these instructions. Lastly, you will need to create an OpenAI API key, found on your OpenAI Playground Dashboard. Once you created an API key, make sure you have an assistant created from the "Assistants" tab on the OpenAI dashboard. This assistant and its instructions will be needed for carrying out the re-formatting of your post.

Description AI-powered priority re-evaluation every 2 hours. Analyzes new signals, meeting decisions, emails, and blockers, then runs 3 AI passes (Impact, Urgency, Final Ranking) to suggest re-ranking. Only updates when the ranking actually changes. Context Runs every 2 hours during work days (8:00–18:00). Pulls 5 data sources in parallel: open priorities, recent high-impact signals, today’s meeting decisions, urgent emails, and overdue/blocked actions. A Priority Context Matrix links each priority to relevant new information. Three sequential AI passes score Impact, Urgency, and produce a Final Ranking with rationale. CompareDatasets detects changes vs current ranking. Only if the ranking changed, Notion is batch-updated and Slack shows before/after. Who is this for? • PMs managing dynamic priority stacks • Product leaders who need real-time priority alignment • Teams where priorities shift frequently due to customer signals Requirements • Notion account with PM Daily databases • OpenAI API key • Slack Bot token How it works Trigger Runs every 2 hours, Monday–Friday, 8:00–18:00. Context Collection 5 parallel pulls: open priorities, signals, meetings, emails, blocked actions. Priority Matrix Links each priority to relevant signals, emails, and decisions. Deduplicates and normalizes. 3-Pass AI Scoring Pass 1: Impact. Pass 2: Urgency. Pass 3: Final Ranking with rationale. Change Detection Compares new vs current ranking. If changed: batch-updates Notion and posts before/after to Slack. What you get Continuous priority re-evaluation every 2 hours 3-pass AI scoring (Impact, Urgency, Final) Change detection — only updates when needed Before/after ranking comparison on Slack 40+ node workflow with CompareDatasets intelligence About me : I’m Yassin a Product Manager Scaling tech products with data-driven project management. 📬 Feel free to connect with me on Linkedin

Generate Weekly Content Calendar with AI from RSS Feeds Categories: AI, Content Creation, Marketing Automation, Productivity Never run out of content ideas again. This workflow transforms trending industry news into a week's worth of structured content ideas, automatically organized in your Notion workspace—all while you sleep. Benefits Save 3+ hours weekly on content ideation and planning Stay relevant** by automatically tracking trending topics in your industry Consistent publishing schedule** with 7 ready-to-execute content ideas every Monday Structured output** with title, format, target audience, and key points for each idea Flexible customization** to match your content style and publishing cadence How It Works Every Monday at 9 AM, the workflow springs into action: Gathers fresh content from multiple RSS feeds (TechCrunch, Ars Technica, MIT News by default) Filters recent articles published in the last 7 days to ensure relevance Analyzes trends by sending the top 20 articles to OpenAI Generates 7 content ideas using structured output with strict JSON formatting Distributes across the week from Monday to Friday with varied content types Creates Notion pages automatically with all metadata ready for your workflow Each generated idea includes: Clear, actionable title (max 80 characters) Content type (LinkedIn post, carousel, thread, video, etc.) Target audience segment Recommended publish day Key talking point to develop The AI prompt is carefully engineered to produce practical, professional content ideas that balance trending topics with original angles—avoiding generic summaries. Required Setup RSS Feeds: Default feeds included: TechCrunch, Ars Technica, MIT Science & Tech Easily swap with your industry's top sources Duplicate nodes to add more feeds (no limit) OpenAI API: Model: GPT-5-mini (latest generation, fast and cost-effective) Average cost: ~$0.01 per weekly execution Alternative: Use GPT-5 for even more creative ideas Notion Database: Create a database with these exact property names: Title** (title type) Content Type** (select or rich text) Target Audience** (rich text) Publish Day** (select: Monday, Tuesday, Wednesday, Thursday, Friday) Status** (select: Draft, In Progress, Done) Key Points** (rich text) Configuration in Code Node: Customize the filtering behavior by editing constants at the top: DAYS_BACK: How many days to look back (default: 7) MAX_ARTICLES: Maximum articles to send to AI (default: 20) SNIPPET_LENGTH: Preview length for descriptions (default: 150 chars) Business Use Cases Content Creators & Marketers: Generate LinkedIn content calendar based on industry trends Transform news into educational threads for Twitter/X Plan newsletter topics with current relevance Agencies: Scale content planning across multiple client industries Maintain consistent posting schedules without manual research Demonstrate ROI by tracking trending topic engagement Solo Founders & Thought Leaders: Stay top-of-mind by consistently sharing timely insights Reduce decision fatigue with pre-structured ideas Focus on execution instead of ideation Content Teams: Coordinate multi-format campaigns (posts, videos, carousels) Distribute workload with clear assignments by day Track status from Draft → Done in one view Set Up Steps Import the workflow into your n8n instance Configure RSS feeds: Click each RSS node Replace URLs with your industry's top sources Duplicate nodes for additional feeds (right-click → Duplicate) Add OpenAI credentials: Click "Generate Content Calendar (Structured)" node Add your OpenAI API key Confirm model is set to gpt-5-mini Create Notion database: Open Notion and create a new database Add the 6 required properties (see Required Setup above) Configure select options for Content Type and Status Connect Notion: Click "Create Database Page in Notion" node Add your Notion credentials Select your content calendar database Verify field mappings match your property names Customize filtering (optional): Open "Filter and Format Articles" code node Edit DAYS_BACK, MAX_ARTICLES, SNIPPET_LENGTH at the top Test the workflow: Click "Execute Workflow" to run manually Verify 7 pages are created in Notion Check that fields are populated correctly Enable the schedule: Toggle "Active" to enable weekly execution Confirm trigger is set to Mondays at 9 AM Troubleshooting Tips: If no articles appear, check that RSS feeds are accessible If AI returns errors, verify your OpenAI API key has credits If Notion fails, ensure property names match exactly (case-sensitive) For field mapping issues, use "Add Field" in the Notion node Difficulty Level: Intermediate Estimated Setup Time: 20-30 minutes Monthly Operating Cost: ~$0.10-$0.30 (OpenAI API at 4 runs/month) Why This Template Stands Out Unlike basic RSS-to-Notion workflows that just dump articles, this template: Analyzes and synthesizes** trends into original content angles Structures output** with strict validation for reliable automation Distributes strategically** across the workweek Mixes content formats** to maintain audience engagement Includes fallback handling** if no recent articles are found The code node is heavily documented with configuration constants, making it accessible even for non-developers to customize behavior without touching complex logic.

Meet your new automated Sales Manager. This workflow acts as a relentless but helpful AI Sales Coach that lives inside your n8n. It wakes up every morning, scans your Notion CRM for deals that have been neglected, and uses OpenAI to send personalized, context-aware "nudges" directly to the specific sales agent responsible via Telegram. 💡 Why use this? Stop Generic Spam:* Unlike dumb bots that blast the whole channel, this workflow maps Notion Users to Telegram Handles to tag the *exact person responsible (e.g., "@alex, wake up!"). Context-Aware AI:** The AI reads the deal details. It gets "greedy" for high-value deals and "sarcastic" for long silences. Zero Management:** It runs on autopilot, ensuring no lead slips through the cracks. ⚙️ How it works Data Sync: Fetches your "Agents" database (Notion User ↔ Telegram ID) and "Active Deals". Logic Core: Calculates exactly how many days a lead has been untouched. Smart Routing: Matches the Assigned Manager in Notion to their Telegram ID. AI Generation: Generates a punchy message based on the deal's value and stage. Delivery: Sends the notification to Telegram with a direct link to the Notion deal. 🛠 Setup Steps Get the Notion System This workflow requires a specific database structure to map Agents and Deals. 👉 Click here to duplicate the Notion Template Connect Databases In the "Get Agents" node, select your duplicated Agents Configuration database. In the "Get Active Leads" node, select your duplicated Active Deals database. Configure Settings Open the 📝 CONFIGURATION node to set: DAYS_INACTIVE_LIMIT: How many days of silence before alerting? (default: 7). COACH_PERSONA: Customize the AI's personality (e.g., "Tough Boss" or "Friendly Helper"). TELEGRAM_CHAT_ID: A fallback chat for unassigned leads. Connect Accounts Add your credentials for Notion, OpenAI, and Telegram.

Meet your automated Lead Gen Specialist. This workflow streamlines cold outreach by scraping local businesses, qualifying them with AI, and delivering them to your sales team instantly via an interactive Telegram bot. It solves the "empty pipeline" problem by fetching fresh leads from Google Maps, checking for duplicates in your Notion CRM, and letting agents "claim" leads with a single click. 💡 Why use this? Automated Sourcing:** Stop manual copy-pasting. It fetches verified business data (Phone, Reviews, Website) directly from Google Maps via Outscraper. Smart Deduplication:** It checks your Notion database first to ensure you never accidentally pitch the same business twice. AI "Icebreakers":** GPT-4 analyzes the reviews to find specific pain points (e.g., "Slow service" -> "Pitch QR Menu"), giving your agents a warm opening line. One-Click Assignment:* Leads are sent to a Telegram group. Agents simply click "⚡️ Take Lead"*, and the system automatically assigns the deal to them in Notion and updates the chat. ⚙️ How it works Fetch: Takes your query (e.g., "Sushi in London") and gets data via Outscraper. Filter: Checks if the phone number already exists in your Active Deals database. Analyze: AI reads the reviews and writes a personalized sales argument. Notify: Sends a formatted card to the Telegram group. Assign (Loop): Listens for the button click, identifies the agent via their Telegram ID, updates the CRM, and locks the lead. 🛠 Setup Steps This workflow works best with the "AI Sales Coach" Notion system. Get the Notion System: Click here to duplicate the Notion Template Add your team to the "Agents Configuration" database (map Telegram IDs to Notion Users). Connect Databases: In the Notion nodes (Search Duplicate, Create New Lead, Assign Lead), select your duplicated Active Deals database. In the Find Agent node, select your Agents Configuration database. Configure Settings: Open the 📝 CONFIGURATION node. Add your Outscraper API Key. Set your Telegram Chat ID (where leads should be posted). Customize the AI_TONE and MY_SERVICES to fit your product. Connect Accounts: Add credentials for Notion, OpenAI, Telegram, and Outscraper.

This n8n workflow automatically generates professional product announcements and blog articles from your Notion content planning database. Who's it for & Use Cases Product Marketers, Content Teams, Product Managers, and Founders who want to: Automate product announcement creation from their Notion product backlog. Generate SEO and AI Search/ALLMO optimized blog articles with consistent structure and brand voice Maintain an up to date product changelog for products with frequent udpates. How It Works Phase 1: Notion Trigger & Validation Workflow monitors your Notion "Content Plan" database for page updates Validates that the entry is marked as ready for writing Checks that content type is set to "Product" (filters other content types) Phase 2: AI Outline Generation GPT-5 Mini creates a structured outline based on: Project name from Notion Notes field (context/instructions) Built-in SEO and ALLMO best practices Output includes sections, subsections, and key talking points Phase 3: Full Article Generation Claude Sonnet 4.5 writes the complete product announcement using: The generated outline Project details from Notion Expert product communications system prompt Article follows structured format: headline, summary, feature sections, FAQ, CTA, and SEO metadata Phase 4: Google Docs Creation & Notion Update Creates new Google Doc with your project name as title Inserts the complete Markdown article into the document Updates Notion page with Google Docs link for instant access Marks the project as complete in Notion How to Setup Connect your Notion account and select your Content Plan database Enter API credentials in the Claude and OpenAI nodes Configure your Google Docs folder location Customize system prompts with your company description, target audience, and brand voice How to Expand Replace the Notion node with a product backlog tool of your choice. Update and fine tune the prompts. Output Structure Full Markdown article with YAML front matter Structured sections: headline, summary, feature descriptions, additional improvements, FAQ, CTA SEO metadata included (title, meta description, slug, tags) Automatically saved to Google Docs with link in Notion Requirements API Credentials: Anthropic API (Claude Sonnet 4.5) OpenAI API (GPT-5 Mini) Connected Services: Notion workspace with Content Plan database Google Docs/Drive account Notion Database Fields: Project name (title/text) Notes (text/description field) Google_Docs_Link (URL field) Status field to mark entries as ready (e.g., "Ready for Writing") Content Type field set to "Product"

Overview This workflow turns a single YouTube video into multiple content formats and publishes them across different platforms with an optional human approval step. It helps content creators, marketers, and agencies repurpose long-form video content into blog posts and social media updates automatically. How it works Fetches the transcript from a YouTube video Uses AI to generate blog and social media content Optionally waits for manual approval Publishes content to selected platforms Logs the result for tracking Setup steps Add your API credentials (AI, transcript, and social platforms) Paste a YouTube video URL Choose auto-publish or approval mode Run the workflow Use cases Content repurposing for YouTube creators Automated blog and social media publishing Marketing automation for agencies AI-assisted content production pipelines 🧑‍💻 Creator Information Developed by: Adem Tasin 🌐 Website: ademtasin.com 💼 LinkedIn: Adem Tasin

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

Who is this for This template is perfect for sales professionals, account managers, and business development teams who want to make memorable impressions on their clients. It automates the tedious task of researching gift shops and preparation spots before important meetings. What it does This workflow automatically prepares personalized recommendations for client visits by monitoring your Google Calendar, enriching data from Notion, and using AI to select the perfect options. How it works Trigger: Activates when a calendar event containing keywords like "visit," "meeting," "client," or "dinner" is created or updated Extract: Parses company name from the event title Enrich: Fetches customer preferences from your Notion database Search: Google Places API finds nearby gift shops and quiet cafes Analyze: GPT-4 recommends the best options based on customer preferences Notify: Sends a personalized message to Slack with recommendations Example Slack Output Here's what the final notification looks like: 🎁 Recommended Gift Shop Patisserie Sadaharu AOKI (★4.6) 3-5-2 Marunouchi, Chiyoda-ku 💡 Reason: The customer loves French desserts, so this patisserie's macarons would be perfect! ☕ Pre-Meeting Cafe Starbucks Reserve Roastery (★4.5) 5 min walk from meeting location Set up steps Setup time: approximately 15 minutes Google Calendar: Connect your Google Calendar account and select your calendar Notion Database: Create a customer database with "Company Name" (title) and "Preferences" (text) fields Google Places API: Get an API key from Google Cloud Console and add it to the Configuration node OpenAI: Connect your OpenAI account for AI-powered recommendations Slack: Connect your Slack workspace and update the channel ID in the final node Requirements Google Calendar account Notion account with a customer database Google Places API key (requires Google Cloud account) OpenAI API key Slack workspace with bot permissions How to customize Search radius: Adjust the searchRadius parameter in the Configuration node (default: 1000 meters) Event keywords: Modify the Filter node conditions to match your calendar naming conventions Notification channel: Change the Slack channel ID to your preferred channel

Who is this for This workflow is designed for Innovation Managers, Tech Transfer Offices, and Business Development Representatives looking to find commercial partners for new technologies. What it does This template automates the process of scouting startups that might be a good fit for NASA patents. Search: It fetches patents from the NASA Tech Transfer API based on a keyword you define. Find: It searches Google to identify startups operating in related fields. Enrich: It crawls the identified startup's website to extract context about their business. Analyze: Using OpenAI, it scores the "fit" between the patent and the startup and drafts a personalized outreach email. Save: High-scoring leads are enriched with LinkedIn company pages and saved directly to a Notion database. How to set up Configuration: In the Configuration node, set the keyword variable to the technology topic you want to search for (e.g., "robotics"). NASA API: Get a free API key from api.nasa.gov and enter it in the NASA Patents API node parameters. Apify: Connect your Apify account credential. You will need credits to run the google-search-scraper and website-content-crawler actors. OpenAI: Connect your OpenAI credential. Notion: Create a database with the following properties and connect it in the Create Notion Lead node: Company (Text) Website (URL) LinkedIn (URL) Email (Email) Score (Number) Draft Email (Text) NASA Tech (Text) Requirements NASA API Key**: Free to obtain. Apify Account**: Requires google-search-scraper and website-content-crawler actors. OpenAI API Key**: For analysis and text generation. Notion Account**: To store the leads.

⚠️ Disclaimer: Community Node Required This workflow uses the Apify community node. Please ensure it is installed in your n8n instance before importing this workflow. This workflow automates the product development lifecycle for Print-on-Demand (POD) businesses by turning NASA's public domain images into actionable merchandise candidates. It combines AI-driven design, competitive market research, and profit calculation into a single automated pipeline. Who is it for Print-on-Demand Entrepreneurs: Automate the sourcing and validation of new designs. E-commerce Managers: Streamline the "Idea to Product" workflow. Content Creators: Generate space-themed merchandise assets automatically. What it does Sourcing: Fetches the daily image from NASA's Astronomy Picture of the Day (APOD) API. Design & Visualization: Uses OpenAI to generate SEO keywords and Cloudinary to create a visual T-shirt mockup. Market Intelligence: Scrapes Etsy (via Apify) to analyze current market prices for similar products. Profit Analysis: Calculates potential profit margins based on your production costs and competitor data. AI Consultation: OpenAI analyzes the data to provide a "Go/No-Go" marketing recommendation. Human Approval: Sends a formatted proposal to Slack. You can approve or reject the product directly from the chat. Asset Management: If approved, the high-resolution image is saved to Google Drive, and product details are logged in Notion. How to set up Install Community Node: Go to Settings > Community Nodes in n8n and install n8n-nodes-apify. Configure Credentials: Ensure you have connected credentials for NASA, OpenAI, Cloudinary, Apify, Slack, Google Drive, and Notion. Set Variables: Open the node named "Workflow Configuration". Here you must define: cloudinaryCloudName & cloudinaryApiKey productionCost (Your cost to print a shirt) minProfitThreshold (Minimum profit required to consider a product "viable") Update IDs: Slack Node: Select your target channel. Google Drive Node: Select the destination folder. Notion Node: Select your product database. Requirements NASA API Key: (Free) Cloudinary Account: For image transformation and mockups. Apify Account: Required to run the dtrungtin/etsy-scraper actor. OpenAI API: For keyword generation and marketing advice. Slack, Google Drive, Notion: For the approval loop and storage.

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.

AI Editor-in-Chief: Trend Research to 3 Notion Blog Drafts This workflow acts as your personal "AI Editor-in-Chief," fully automating the process from trend research to content creation. It scrapes Google Search results and generates three distinct article drafts (with different angles) complete with AI-generated cover images, saving everything directly to Notion. 🎯 Target Audience Bloggers & Affiliate Marketers: Individuals who struggle with writer's block and want to maintain a consistent posting schedule. Content Marketers & Editors: Teams running owned media who need to efficiently generate high-volume article ideas and drafts based on trends. SEO Specialists: Professionals who need to quickly create content based on the latest search keywords. ⚙️ How it Works & Features This workflow automates the entire editorial process: Automated Research: Scrapes top Google Search results for a specific keyword (e.g., "2025 AI Tools") using Apify. Multi-Angle Planning: GPT-4o analyzes the research and brainstorms article concepts from 3 different perspectives (e.g., "Beginner's Guide," "Critical Review," "Business Use Case"). Writing & Visualizing: For each concept, the AI writes a full article body in Markdown and DALL-E 3 generates a matching cover image. CMS Entry: Automatically saves the Title, Body Text, and Cover Image URL into a Notion database as a draft. Notification: Sends a completion report with links to the created Notion pages via Slack. 🛠 Setup Instructions Import: Copy the workflow JSON and paste it into your n8n editor. Credentials: Set up credentials for the following nodes: Apify: Required for the Google Search Scraper actor. OpenAI: Required for GPT-4o and DALL-E 3. Notion: Connect your account to access your database. Slack: Connect your account for notifications. Configuration: Open the Workflow Configuration node and set your desired Search Keyword. Notion Setup: Create a database in Notion (with properties for Title, Content, etc.). Crucial Step: Go to the Notion database page menu ... > Connect to and select your n8n integration to grant permission. Select this database in the Save Article to Notion node. Slack Setup: In the Send Completion Notification to Slack node, specify the target channel name (e.g., general). 📦 Requirements n8n Version: v1.0 or higher (recommended). Apify Account: Access to the apify/google-search-scraper actor. OpenAI Account: API access to GPT-4o and DALL-E 3. Notion Account: A workspace with a database. Slack Account: A workspace for receiving notifications. 🔧 Customization Change Keywords: Simply update the searchKeyword value in the Workflow Configuration node to target any topic (e.g., "Keto Diet," "Tech Gadgets," "Investment Trends"). Adjust Angles: Modify the System Prompt in the AI Editorial Meeting node to change the persona or angles (e.g., "Pros & Cons," "Global Reaction," "Tutorial"). Change Destination: You can replace the Notion node with a WordPress node to draft articles directly into your CMS. Scheduling: Update the Schedule Trigger node to run daily, weekly, or on specific days as needed.

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

Ingest meeting webhooks, process transcript, classify the meeting, generate structured notes with AI Agent, file the transcript to Google Drive, write rich pages to Notion, and create assigned tasks. Includes optional polling path if webhooks aren’t available. Who is this for? Teams that record calls and want instant, structured notes in Notion, with transcripts archived in Google Drive and action items auto-created—without manual copy/paste. What problem does it solve? Manual note taking is slow and inconsistent. This flow listens for a meeting webhook, flattens the transcript, classifies the call, runs a tailored notetaker prompt, and writes a clean Notion page plus tasks—hands-free and standardized. How it works | # | Node | Purpose | |---|------|---------| | 1 | New Meeting Webhook | Receives meeting payload with transcript segments and metadata. (Webhook Node) | | 2 | Flatten Transcript (Code) | Joins segments to speaker: text lines and extracts title, meetingId, url. | | 3 | Set Title + Transcript + URL | Normalizes fields for downstream nodes. | | 4 | Categorize Meeting | Uses OpenAI to return { "meetingType": "DiscoveryCall" | "MiscMeeting" }. (OpenAI) | | 5 | Switch | Routes to the correct notetaker branch based on meetingType. | | 6a | Discovery Call Notetaker | Anthropic model + structured parser to extract sales-specific fields. (Anthropic Docs) | | 6b | Misc Meeting Notetaker | General meeting notetaker with strict JSON schema. | | 7a | Add Discovery Meeting Notes to Notion | Writes a formatted page with overview, goals, pains, risks, and action items. | | 7b | Add Meeting Notes to Notion | Writes a simpler page for non-discovery meetings. | | 8 | Set Notion Page ID | Captures created page ID and the action-items array. | | 9 | Create File (Google Drive) | Saves raw transcript text and returns the file ID. (Drive API) | | 10 | Link Transcript in Notion | Updates the Notion page with a viewable Drive link. | | 11 | Split out Tasks | Expands the action-items array to one item per execution. | | 12 | If Assigned to Me | Filters tasks where assignee = "Matty Reed". | | 13 | Add Tasks (Notion) | Creates tasks in your Notion Tasks DB, links to the meeting page. (Notion API) | | * | (Optional polling path) | If webhooks aren’t available: Schedule Trigger → Get Meetings from Notion → List Meetings (HTTP Request) → Get New Meetings (Code) → Get Transcript (HTTP) → Transcript Ready? → Wait → Flatten. Disabled by default. | Setup steps Import the JSON flow into n8n Confirm nodes marked disabled stay off unless you need the polling path. Docs: n8n Credentials OpenAI: add API key and attach to Categorize Meeting. Anthropic: add API key and attach to both notetaker agents. Notion: create an internal integration, share your Meetings and Tasks databases with it, then attach the credential to Notion nodes. Google Drive: OAuth2 credential for Create File. Map your databases and properties Replace the placeholder Notion database IDs with your Meetings and Tasks DB IDs. Verify property names like Meeting Name|title, Summary|rich_text, Category|multi_select, Assignee|people, etc., match your schema. Drive folder Update the folderId in Create File to your preferred folder. Ensure link-sharing fits your privacy policy. Webhook Expose New Meeting Webhook via your n8n instance. Send a sample payload from your meeting recorder to verify the calendar_invitees, transcript, title, and url fields match the code node expectations. Test Run the flow with a recorded meeting. Confirm: Page created in Meetings DB with structured sections. Transcript file created in Drive and linked back to Notion. Tasks created in Tasks DB when assignee = "Matty Reed". Notes and tips Schemas are strict.** Both notetakers output fixed JSON keys. Missing values become empty strings. PII handling.** Transcripts may include personal data. Limit access to Notion pages and Drive files per policy. Do not hardcode secrets.** Store API keys in n8n credentials. Avoid putting tokens in Code nodes. Rate limits.** Long transcripts increase token usage. Consider chunking upstream if needed. Extensibility.* Add more branches in Switch* for other meeting types with custom prompts and parsers. Resources n8n Webhook Node – https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.webhook/ n8n HTTP Request Node – https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.httprequest/ OpenAI Responses – https://platform.openai.com/docs/guides/realtime-and-responses/responses Anthropic Docs – https://docs.anthropic.com/en/docs Notion API – https://developers.notion.com/docs Google Drive API – https://developers.google.com/drive/api

🚀 Overview This modern n8n workflow implements a multi-agent trading engine that orchestrates valuation, sentiment, fundamentals, technicals, and macro analyses to generate a single portfolio action with built-in risk controls. It integrates Telegram for live commands, fetches market data, fans out to expert LLM agents, applies position limits via a Risk Manager, executes orders, logs to Notion, and sends a summary back to Telegram. 🔧 What It Does Telegram Trigger** listens for ticker commands and context inputs 📲 Market Data Node** fetches live prices and exchange rates from an API (no hardcoded keys) 🔗 LLM Agents** run parallel analyses: valuation, sentiment, macro, fundamentals, technicals 🌐 Risk Manager** enforces max position sizes, stop-loss limits, and confidence thresholds ⚖️ Portfolio Manager** aggregates signals into a final BUY/SELL/HOLD decision with allocation % 📊 Execute Order** sends trade requests via HTTP Request 🔒 Log to Notion** writes a full audit trail for compliance 📓 Telegram Output** posts a concise report with signals, risk notes, and final decision 📤 💡 Why It’s Useful This template illustrates a modular “investment committee” architecture that is easy to extend, swap agents, and maintain. It follows n8n’s best practices for template submissions: sticky-note documentation, placeholder credentials, markdown descriptions, and clear H2 headings. 🔑 Prerequisites Telegram Bot credentials configured in n8n Exchange or data API credentials stored as n8n Credentials (no inline keys) OpenAI (or other LLM) API credential Notion integration credentials 🛠️ How to Use Import the JSON into n8n and open the canvas. Read each Sticky Note for node-by-node setup tips and rate-limit guidance 🗒️ Configure credentials via the n8n Credentials Manager 🔐 Test each branch (data fetch, agents, risk logic) in isolation before enabling order execution ✅ 📐 Architecture Layers Trigger**: Telegram Trigger → Data**: HTTP Request → Analysis**: Parallel LLM Agents → Risk**: Risk Manager → Decision**: Portfolio Manager → Action**: Execute Order, Log to Notion, Send Telegram summary 🔒 Security & Maintenance All API keys are stored securely as credentials. Sticky Notes document required scopes, retry strategies, and error-handling paths to ensure observability and safe testing. Enjoy building and customizing your own AI-powered hedge-fund workflow!

How It Works This workflow automates social media content creation and posting. It starts by receiving raw text input through a Webhook (for example, from LINE Bot) and saves the content into a Notion database for centralized storage. Next, GPT-4 generates platform-specific captions for Instagram, Threads, X/Twitter, and Blog. Instagram captions are prepared for automatic publishing, while Threads, X, and Blog drafts are stored in Notion for later review and manual posting. The workflow then fetches book cover images or other visuals from external APIs such as Google Books, OpenBD, or OpenLibrary. The chosen image is uploaded to Cloudinary to generate a secure, optimized URL. Finally, the Instagram Graph API is used to create a media container and publish the post automatically with the caption and image. This way, the workflow provides both automation for Instagram and reusable drafts for other platforms. Requirements Notion account with a database configured for text and captions Cloudinary account for image hosting Instagram Business account connected to the Meta Developer Platform GPT-4 (via OpenAI or LangChain node in n8n) Setup Instructions Configure the Webhook node to capture text input. Update the Notion database ID and property keys to match your schema. Add Cloudinary credentials (【cloud_name】, 【upload_preset】) in the HTTP Request node. Set 【IG_ACCESS_TOKEN】 as an environment variable. Activate the workflow and test with a sample input. Customization Adjust caption prompts for style, hashtags, or character limits. Add additional GPT nodes for more platforms. Replace or extend image sources as needed. Integrate a scheduler (Cron node) to post at specific times.

Overview Transform your receipt management with this comprehensive n8n workflow that automatically processes receipts through Telegram, extracts transaction data using AI, and stores it across multiple platforms for seamless expense tracking. Key Features 📱 Telegram Bot Integration**: Send receipts via photo or manual text entry 🔍 OCR Processing**: Automatic text extraction from receipt images using OCR.space API 🤖 AI Data Extraction**: OpenAI GPT-4 intelligently extracts vendor, amount, date, and category 📊 Multi-Platform Storage**: Automatically saves to Google Sheets, Notion, and custom APIs 💾 Receipt Archival**: Stores original receipt images in Google Drive ✅ Smart Validation**: Validates extracted data and handles errors gracefully 📲 Real-time Feedback**: Sends confirmation messages with transaction details How It Works Input Methods: Send receipt photos or text messages to your Telegram bot Image Processing: Downloads and processes receipt images using OCR technology AI Analysis: GPT-4 extracts structured transaction data from OCR text Data Validation: Ensures data quality and handles missing information Multi-Storage: Simultaneously saves to Google Sheets, Notion database, and external APIs Confirmation: Sends formatted confirmation with all transaction details Use Cases Personal expense tracking and budgeting Small business receipt management Travel expense documentation Tax preparation and record keeping Automated bookkeeping workflows Required Credentials Telegram Bot API (for bot functionality) OCR.space API (for receipt text extraction) OpenAI API (for AI data processing) Google Sheets OAuth2 (for spreadsheet storage) Google Drive OAuth2 (for image storage) Notion API (for database integration) Setup Notes Replace placeholder values in the workflow: YOUR_GOOGLE_SHEET_ID_HERE in Google Sheets node YOUR_NOTION_DATABASE_ID_HERE in Notion node YOUR_API_KEY_HERE and API endpoint in Website API node This workflow provides a complete solution for automated receipt processing, making expense tracking effortless through simple Telegram interactions while maintaining data across multiple platforms for maximum accessibility and backup.

Description 🎯 Overview An advanced automated trading bot that implements ICT (Inner Circle Trader) methodology and Smart Money Concepts for cryptocurrency trading. This workflow combines AI-powered market analysis with automated trade execution through Coinbase Advanced Trading API. ⚡ Key Features 📊 ICT Trading Strategy Implementation Kill Zone Detection**: Automatically identifies optimal trading sessions (Asian, London, New York kill zones) Smart Money Concepts**: Analyzes market structure breaks, liquidity grabs, fair value gaps, and order blocks Session Validation**: Real-time GMT time tracking with session strength calculations Structure Analysis**: Detects BOS (Break of Structure) and CHOCH (Change of Character) patterns 🤖 AI-Powered Analysis GPT-4 Integration**: Advanced market analysis using OpenAI's latest model Confidence Scoring**: AI generates confidence scores (0-100) for each trading signal Risk Assessment**: Automated risk level evaluation (LOW/MEDIUM/HIGH) ICT-Specific Prompts**: Custom prompts designed for Inner Circle Trader methodology 🔄 Automated Trading Flow Signal Reception: Receives trading signals via Telegram webhook Data Extraction: Parses symbol, action, price, and technical indicators Session Validation: Verifies current kill zone and trading session strength Market Data: Fetches real-time data from Coinbase Advanced Trading API AI Analysis: Processes signals through GPT-4 with ICT-specific analysis Quality Filter: Multi-condition filtering based on confidence, session, and structure Trade Execution: Automated order placement through Coinbase API Documentation: Records all trades and rejections in Notion databases 📱 Multi-Platform Integration Telegram Bot**: Receives signals and sends formatted notifications Coinbase Advanced**: Real-time market data and trade execution Notion Database**: Comprehensive trade logging and analysis tracking Webhook Support**: External system integration capabilities 🛠️ Setup Requirements API Credentials Needed: Coinbase Advanced Trading API** (API Key, Secret, Passphrase) OpenAI API Key** (GPT-4 access) Telegram Bot Token** and Chat ID Notion Integration** (Database IDs for trade records) Environment Variables: TELEGRAM_CHAT_ID=your_chat_id NOTION_TRADING_DB_ID=your_trading_database_id NOTION_REJECTED_DB_ID=your_rejected_signals_database_id WEBHOOK_URL=your_external_webhook_url 📈 Trading Logic Kill Zone Priority System: London & New York Sessions**: HIGH priority (0.9 strength) Asian & London Close**: MEDIUM priority (0.6 strength) Off Hours**: LOW priority (0.1 strength) Signal Validation Criteria: Signal quality must not be "LOW" Confidence score ≥ 60% Active kill zone session required ICT structure alignment confirmed 🎛️ Workflow Components Extract ICT Signal Data: Parses incoming Telegram messages for trading signals ICT Session Validator: Determines current kill zone and session strength Get Coinbase Market Data: Fetches real-time cryptocurrency data ICT AI Analysis: GPT-4 powered analysis with ICT methodology Parse ICT AI Analysis: Processes AI response with fallback mechanisms ICT Quality & Session Filter: Multi-condition signal validation Execute ICT Trade: Automated trade execution via Coinbase API Create ICT Trading Record: Logs successful trades to Notion Generate ICT Notification: Creates formatted Telegram alerts Log ICT Rejected Signal: Records filtered signals for analysis 🚀 Use Cases Automated ICT-based cryptocurrency trading Smart Money Concepts implementation Kill zone session trading AI-enhanced market structure analysis Professional trading documentation and tracking ⚠️ Risk Management Built-in session validation prevents off-hours trading AI confidence scoring filters low-quality signals Comprehensive logging for performance analysis Automated stop-loss and take-profit calculations This workflow is perfect for traders familiar with ICT methodology who want to automate their Smart Money Concepts trading strategy with AI-enhanced decision making.

How it works This workflow is your personal CEO Brain. Every Saturday night, it automatically collects the past week’s activity across: 📩 Gmail: filters out spam, promos, receipts, etc. 📅 Google Calendar: grabs past week and upcoming month 🗒️ Notion Weekly Plan: pulls and analyzes a photo of your weekly plan (e.g., taken from a paper planner/notebook) using GPT-4o 🎯 Notion OKRs: fetches quarterly OKRs and formats them for summary It sends all the data to GPT-4.1, which generates a smart weekly report — including progress check, misalignments, overdue follow-ups, and next steps — then emails it to you as a Weekly OKR Report. Set up steps 🧠 Add your Gmail, Google Calendar, Notion, and OpenAI credentials 📅 The Notion Weekly Plan should have a date property and an image field that holds a photo of your planner/notebook page 🎯 The Notion OKR database should include objective, key result, and status fields 🔁 Schedule is preset to every Saturday at 20:30 HK time (cron 0 30 20 * * 6). Also set the workflow timezone in n8n and, if self-hosting, the server/container TZ (e.g., TZ=Asia/Hong_Kong) to ensure correct triggering 💬 You can modify the AI prompts inside the LLM nodes for more customized outputs

AI Blog & LinkedIn Content Publisher How it works Daily trigger scans your Notion database for unpublished blog ideas AI generates complete blog posts + engaging LinkedIn content using OpenAI (Blog Posting is not implemented yet) Creates custom images for posts using Replicate's Flux-Schnell AI model Auto-publishes to LinkedIn with image OR emails draft for review Updates Notion with published content and tracks status Set up steps Connect accounts: Notion, OpenAI, Replicate, LinkedIn, Gmail Create 2 Notion databases: Ideas (input) and Articles (output) Update config node: Add your database IDs and email Test with one idea: Run manually first to verify everything works Enable daily automation: Turn on the cron trigger Perfect for: Content creators, developers, and marketers who want to transform rough ideas into professional blog posts and LinkedIn content automatically.

📌 How it works This workflow turns voice or text messages from Telegram into structured tasks in Notion, using AI-powered intent detection and task generation. It supports: 🆕 Task creation ✏️ Task updates (like changing priority, title, or deadline) 🧠 Task analysis (e.g., workload, goal alignment, emotional fatigue) The assistant uses OpenAI to: Detect intent (create, update, or analyze) Extract or update task fields (title, priority, due date, etc.) Auto-format list-style descriptions with bullet points Detect relevant tags like health, money, sport, etc. ⚙️ Setup steps Clone the GitHub repo or import the .json into n8n manually. Configure: OpenAI credentials Telegram Bot Token Notion credentials Use Telegram to send messages like: “Create a task to call mom tomorrow” “Update the grocery task to add milk” “Am I overbooked today?”