Workflow Templates

👥 Who is this for? Startup founders validating or pitching new ideas Business consultants running strategy sessions Product teams defining business logic visually Agencies offering planning frameworks to clients ❓ What problem does this workflow solve? Creating a Business Model Canvas manually is time-consuming and often scattered across tools. This workflow solves that by allowing users to generate a fully populated, formatted, and printable Business Model Canvas in seconds using the power of AI, all structured in a professional A4 landscape layout. ⚙️ What this workflow does Starts with a chat input asking for your business idea Sends it to 9 separate AI agents, each focused on one section: Key Partners Key Activities Value Proposition Customer Relationships Customer Segments Key Resources Channels Cost Structure Revenue Streams Uses your preferred LLM (see below) to generate meaningful bullet points Converts output into a specific format Merges all sections into a clean, A4-styled HTML canvas Exports the result as a downloadable .html file 🛠️ Setup Import the workflow into your n8n instance Start the flow from the “When chat message received” node Describe your business idea when prompted (e.g., “Online bookshop with rare Persian literature”) Wait for AI processing to complete Visit the last node “HTML code to HTML file” Click Download to get your final canvas in .html format 🤖 LLM Flexibility (Choose Your Model) This template supports any AI model with a chat interface: Ollama (self-hosted models like LLaMA, etc.) OpenAI (GPT-4, GPT-3.5) Anything with a compatible node You can easily change the LLM by updating the Language Model Node. No need to modify any other logic or formatting. 🧪 How to customize this workflow Change the LLM** model from the Ollama node to OpenAI, etc. Modify the final HTML layout in the “Turn to HTML” node Add a PDF export, email delivery, or Google Drive sync Replace the chat trigger with a webform, CRM hook, etc. ✅ Requirements A working LLM integration (Ollama or OpenAI recommended) n8n (self-hosted or cloud) 📌 Notes Sticky notes included for setup and instructions Each node clearly named by function (e.g. "Customer Segments Generator") Designed for speed, structure, and professional presentation 📩 Need help? For setup questions, custom features, or LLM integration support, contact: sinamirshafiee@gmail.com

This workflow creates a new item in a Monday.com board when a new contact is created in Mautic. Additional fields can be added to the workflow to send more data to Monday.com. Prerequisites Monday account and Monday credentials. Mautic account and Mautic credentials. How it works When a new contact is created in Mautic, the workflow creates a new item in the Monday.com board. By default the workflow will send the contact's email address to Monday.com and name the item after the contact's first and last name. Setup This workflow requires that you set up a Monday.com board. To do so, follow the steps below: In Monday.com, create a new item board. In the board, add the following columns: Email (with type "Email") Any other fields you require to the board. If more columns are created, you will need to find out what their ID's are by turning on developer mode as explained in this Monday article. With these new IDs, you can add them to the Create item Monday.com node, this is explained further in the workflow as a sticky note.

How it works This workflow automates the backup of all your n8n workflows to a specified Google Drive folder. It operates in two main phases: Orchestration (Scheduled Task): The workflow is initiated by a Schedule Trigger (e.g., daily at 1:30 AM by default). It then uses an n8n API Node to fetch a list of all existing workflows in your n8n instance. A Loop Over Items node processes each fetched workflow individually. For every workflow in the list, an Execute Workflow node calls the "worker" part of this same workflow, passing the individual workflow's data. Individual Workflow Backup (Worker Task): This part is triggered by the When Executed by Another Workflow node (called by the orchestrator part). It first retrieves the passed workflow data. A Parameters node defines the target Google Drive directory. The Get Google Drive File Data node searches the specified Google Drive folder to see if a backup file for the current workflow (named as WorkflowName_WorkflowID.json) already exists. An IF Node (ifDriveEmpty) checks the result: If a backup file exists, the workflow data is converted to a binary JSON file using a Code Node, and then the existing file on Google Drive is updated (Backup to Google Drive2). If a backup file does not exist, the workflow data is first formatted as JSON, converted to a binary JSON file using another Code Node, and then uploaded as a new file to Google Drive (Backup to Google Drive4). If any Google Drive upload/update operation fails, a Failure Email is sent. After the loop in the orchestration phase completes (all workflows processed), a Limit node ensures only one signal proceeds to send a Success Email and a Discord message indicating the overall backup process was completed. Setup Clone Workflow: Clone this workflow into your n8n environment. Credentials: n8n API: In the "Get all n8n Workflows" node, select or create n8n API credentials. This allows the workflow to list all your other workflows. Google Drive: In the "getDriveFileData", "Backup to Google Drive2", and "Backup to Google Drive4" nodes, select or create your Google Drive OAuth2 API credentials. Gmail: In the "successEmail" and "failureEmail" nodes, select or create your Gmail credentials. Discord (Optional): If you wish to use Discord notifications, configure your Discord Bot API credentials in the "Discord" node. Configuration: Schedule: Open the "Schedule Trigger" node and adjust the trigger interval (e.g., time of day) as needed. Google Drive Folder: Open the "Parameters" node (connected after "Workflow Data"). Edit the directory value to the full URL of the Google Drive folder where you want to store your backups (e.g., https://drive.google.com/drive/folders/YOUR_FOLDER_ID). Email Recipients: Open the "successEmail" and "failureEmail" nodes and update the "Send To" field with your desired recipient email address(es). Discord Channel (Optional): If using Discord, open the "Discord" node and set the "Channel ID" for notifications. Sub-Workflow ID: The "Execute Workflow" node is pre-configured to call this workflow itself using its ID. If you import this workflow and its ID changes, you may need to update the workflowId in the "Execute Workflow" node to the new ID of this imported workflow. However, n8n usually handles this if it's self-referential within the same imported workflow. How to use Activate: After completing the setup steps, activate the workflow. It will automatically run according to the defined schedule. Manual Execution: You can also manually trigger the workflow by clicking the "Execute Workflow" play button on the "Schedule Trigger" node to perform an immediate backup of all workflows. Check Backups: Your n8n workflows will be saved as .json files (named WorkflowName_WorkflowID.json) in the Google Drive folder you specified in the "Parameters" node. Notifications: You will receive an email (and optionally a Discord message) upon successful completion of the entire backup process, or individual failure emails if a specific workflow backup to Google Drive fails. Author & Credits Creator:** Hochien Chang YouTube Channel (Chinese):** HC AI說人話 YouTube Channel (English):** HC HumanizeAI Original Explanation Video:** https://youtu.be/PA15H5qunC0 Based on:** n8n Workflow Backup to Google Drive

This workflow will allow you to use OpenAI Assistant API together with a chatting platform. This version is configured to work with Hubspot, however, the Hubspot modules can be replaced by other platform and it will work similarly. Prerequisites: Create a Hubspot Chat (Live chat available on free plan) or Chatflow (paid hubspot only) and configure it to send all replies toward an n8n webhook (you need to create a custom app for that. I will create a separate article on how to do it, meanwhile, feel free to message me if you need support. Setup: Create a OpenAI Assistant, define its functionality and functions Update the Hubspot modules with the Hubspot API Key Update the OpenAI modules with OpenAI API Key Create an Airtable or any other database where you keep a reference between the thread id in Hubspot and Assistant API If you need help deploying this solution don't hesitate to email me or schedule a call here.

Community Node Disclaimer: This workflow uses KlickTipp community nodes. How It Works: Facebook Lead Ads to KlickTipp Integration: This workflow automatically transfers lead information submitted via Facebook Lead Ads into KlickTipp. It is ideal for automating course registrations or similar campaigns, enabling targeted email sequences based on user input. Data Handling: Lead data from Facebook is received via webhook, matched to KlickTipp’s custom fields, and the contact is tagged for segmentation and automation. Key Features Webhook Trigger for Facebook Lead Ads: Captures new lead form submissions from Facebook, including: Name Email address Chosen course Preferred payment method Optional comments Data Mapping & Validation: Maps Facebook field values to pre-defined custom fields in KlickTipp Subscriber Management in KlickTipp: Adds or updates leads as subscribers in KlickTipp Includes mapping to custom fields such as: Facebook_Leads_Ads_Kursauswahl Facebook_Leads_Ads_Zahlungsweise Facebook_Leads_Ads_Kommentar Assigns relevant tags for automated campaign triggers Setup Instructions 1. Prepare KlickTipp Custom Fields: Before using the workflow, create the following custom fields in KlickTipp under → Contacts → Custom fields: | Name | Datentyp | | - | - | | Facebook_Leads_Ads_Kommentar | Zeile | | Facebook_Leads_Ads_Kursauswahl | Zeile | | Facebook_Leads_Ads_Zahlungsweise | Zeile | 2. Facebook Lead Ads Setup: Create a lead form under Facebook Ads Manager Include custom fields for course interest, payment preference, and comments 3. Set Up Facebook Webhook in n8n: Use the Facebook Lead Ads node to create a webhook Authenticate your Facebook account Choose the Page and corresponding lead form Save and activate the webhook 4. Map Data to KlickTipp Fields: Open the KlickTipp node to Authenticate with your credentials (username&password) Map the fields from the Facebook webhook to the according custom fields in KlickTipp. Testing & Deployment Run a Test: Use Meta’s testing tool to generate a test lead Run the n8n workflow once manually Note: Facebook test email (e.g., test@fb.com) is invalid—expect an error in KlickTipp during testing. You can pin the output of the node and manipulate the address to a valid test-address. Workflow Logic Webhook Trigger from Facebook: Initiates workflow upon new lead form submission Add or Update Contact in KlickTipp: Submits mapped data into your KlickTipp account Benefits Automated Lead Management: No manual data transfers needed—new Facebook leads are instantly pushed to KlickTipp. Personalized Campaigns: Segment leads based on selected course or payment method for targeted follow-up emails. Notes: Customization: Adjust field mappings in the KlickTipp node based on your lead form structure. Ensure all required fields (email, opt-in, etc.) are mapped correctly. Resources: Use the Meta Lead Ads Testing Tool to simulate lead submissions during setup. Look into our knowledgebase article Send Facebook Leads to KlickTipp with Make or n8n to learn more. Use KlickTipp Community Node in n8n Automate Workflows: KlickTipp Integration in n8n

✨ Automate Daily Hindu Festival Posts on X (Twitter) with AI 🐦 This workflow automates the entire process of creating and publishing culturally rich social media content about Hindu festivals. It starts by building a comprehensive festival calendar for the year in a Google Sheet, then runs daily to post engaging, bilingual updates on X (formerly Twitter). 🗓️ The workflow uses a sophisticated dual-AI system: Google Gemini acts as a content generator creating multiple post options ✍️, while OpenAI's GPT-4o Mini acts as a discerning social media manager, selecting the very best post for publication. 🧠 This ensures your content is not only automated but also high-quality and optimized for engagement. How it works ⚙️ This workflow operates in two distinct stages: Part 1: Data Population (One-Time Manual Run) 🔍 Fetch Festival Data: Manually trigger the workflow to scrape a list of 2025 Hindu festivals from a public calendar using the Jina AI Reader API. ✨ Enrich with AI: For each festival, a Google Gemini model researches and extracts key details: The festival's name in Hindi. A concise description of its significance in English. A Hindi translation of the description. 📝 Store in Google Sheets: The enriched data for the entire year is then systematically organized and saved in a designated Google Sheet, creating a content calendar. Part 2: Daily Automated Posting ⏰ Daily Trigger: A Schedule Trigger node activates the workflow every morning at 8 AM. ✔️ Check for Festivals: The workflow gets today's date and checks the Google Sheet to see if there is a corresponding festival. 🎨 Generate Post Options: If a festival is scheduled for the day, Google Gemini generates three distinct and engaging post options for X. Each post is crafted to be concise, use a mix of English and Hindi, and include relevant emojis and hashtags. 🏆 Select the Best Post: OpenAI's GPT-4o Mini then evaluates the three generated posts based on criteria like clarity, engagement potential, and effective use of language. It selects the single most impactful post. 🚀 Publish to X: The winning post is automatically published to your connected X account. Features ⭐ 🤖 Fully Automated Content Pipeline: From data collection to final publication, no manual intervention is needed after the initial setup. 🧠 Dual-AI System: Leverages Google Gemini for creative generation and OpenAI GPT-4o Mini for critical selection, ensuring high-quality output. 🗣️ Bilingual Content: Creates posts that blend English and Hindi to enhance cultural connection and broaden audience reach. 🎯 Dynamic and Contextual: Posts are automatically tailored to the specific festival of the day. 🗓️ Centralized Content Calendar: Uses Google Sheets as a reliable, easy-to-manage database for your yearly social media plan. Prerequisites 🛠️ Before you can use this workflow, you will need to: Have an n8n instance set up. Create a new, empty Google Sheet. Obtain credentials for the following services: Jina AI: Get a free Bearer Token from the Jina AI API page. Google: Set up Google credentials (OAuth2) for the Google Sheets and Google Gemini nodes. OpenAI: Get an API key from your OpenAI Platform dashboard. X (Twitter): Set up X credentials (OAuth2) to allow n8n to post on your behalf. How to use this template 🚀 🔑 Set up Credentials: In n8n, go to the "Credentials" section and add new credentials for Jina AI, Google (for both Sheets and Gemini), OpenAI, and X using the API keys and tokens you obtained. 📊 Configure the Google Sheet: Create a new Google Sheet. In the first row, create the following headers exactly as written: Name of the Festival Date English Description (Note the trailing space) Hindi Description Open the "Add all Rows at once" and "Fetch Data of Matched Date" nodes in the workflow and connect them to your Google account and select the Sheet you just created. ▶️ Populate the Data (Manual Step): Click the "Execute workflow" button on the When clicking ‘Execute workflow’ node. This will run the first part of the workflow, filling your Google Sheet with festival data for 2025. This only needs to be done once. ✅ Activate the Workflow: Save the workflow and then activate it using the toggle at the top right of the n8n canvas. The workflow will now run automatically every day to post about the day's festival. Extending the Workflow 💡 🖼️ Add Image Generation: Integrate a node like DALL-E or Midjourney to generate a unique image for each festival and include it in the tweet. 🌐 Cross-Platform Posting: Duplicate the final "Post to X" node and adapt it to post on other platforms like Facebook, LinkedIn, or Telegram. 🎨 Change the Tone: Modify the prompts in the "Generate Posts" and "Select Best Post" nodes to change the style of your social media content—make it more formal, humorous, or poetic. 📅 Use a Different Year: Update the URL in the "Get Festival Data" node to fetch data for a different year. The current URL is https://r.jina.ai/https://www.calendarlabs.com/2025-hindu-calendar.

This workflow creates an automated system for monitoring and receiving notifications about new videos from your favorite YouTube channels through RSS feeds, with customizable email and Telegram notifications. 🌟 Key Features 📡 RSS Feed Management Accepts custom YouTube channel IDs or uses default channels Automatically creates RSS feeds for each YouTube channel Monitors channels for new video uploads Labels and filters recent videos within a 3-day window (change this as required) 📨 Multi-Channel Notification System Sends Telegram notifications with video thumbnails and links Delivers customized email notifications in two formats: Individual emails for each new video Single digest email containing all new videos ⚙️ Content Processing Fetches detailed video information using YouTube API Creates responsive HTML email templates with video previews Includes video thumbnails, titles, descriptions, and direct links Maintains professional formatting across different email clients 🛠️ Setup Requirements 🔑 API Configuration YouTube Data API credentials Gmail account for sending notifications Telegram bot token and chat ID OpenAI API key for content processing 📋 Channel Management Add YouTube channel IDs through form input Configure default channel list Set notification preferences Adjust monitoring schedule This workflow is perfect for content creators, marketers, or anyone wanting to stay updated with their favorite YouTube channels through automated, professionally formatted notifications delivered via email and Telegram.

SWOT Analysis Generator That Produces PDF Reports In n8n Want to skip the manual work and instantly generate SWOT analyses for your business plans, investor decks, or strategy docs? 🚀 This workflow lets you automate the entire SWOT (Strengths, Weaknesses, Opportunities, Threats) process—using AI and no-code tools! Whether you're using this for yourself or creating documents for clients, this workflow will save you hours of time and help identify the key components of growing any business. Tools We’ll Be Using: OpenAI API**: Powers AI-driven extraction and generation of SWOT sections, introductions, conclusions, and more. n8n**: The no-code automation platform that orchestrates this workflow. Google Sheets**: Stores your company data and report outputs (download the provided "SWOT Analysis" template and fill it out). APITemplate.io**: Converts HTML reports into downloadable, multi-page PDFs. DeepSeek API* *(optional): An alternative to OpenAI for specific reasoning tasks. Gmail OAuth2**: Sends the final report via email. If you’re building a business, doing client work, or just want faster strategic planning—this will save you HOURS. How It Works This n8n workflow transforms structured company data from a Google Sheet into a fully formatted, investor-grade SWOT report in both HTML and PDF formats. Here’s the process in a few high-level steps: Load Data: Pulls company information from the "Company Info Input" tab in the "SWOT Analysis" Google Sheet. AI Analysis: Uses AI (via OpenAI or DeepSeek) to categorize data into Strengths, Weaknesses, Opportunities, and Threats, and generates detailed narrative sections for each. Create Report Sections: Produces a strategic introduction, conclusion, table of contents, and title page using AI. Format and Combine: Converts all sections into styled HTML and merges them into a single document. Generate PDF: Converts the HTML into a polished, multi-page PDF using APITemplate.io. Save and Share: Saves the report back to Google Sheets and emails the PDF to a specified recipient. The result is a professional, investor-ready SWOT report with minimal manual effort, ready for sharing or review. Setup Steps Setting up this workflow typically takes 15-30 minutes, depending on your familiarity with the tools. Here’s what you’ll need to do: Configure Credentials**: Set up API keys and OAuth2 credentials for Google Sheets, OpenAI, APITemplate.io, Gmail, and optionally DeepSeek. Prepare Your Google Sheet**: Download the provided "SWOT Analysis" template, fill out the "Company Info Input" tab with your company data, and ensure it’s accessible. Import the Workflow**: Copy the workflow JSON into your n8n instance and connect your credentials. Detailed instructions for each step, including credential setup and customization options, are available in the sticky notes within the workflow. Refer to these for step-by-step guidance. Benefits Efficiency**: Automates the entire SWOT report generation process, saving hours of manual work. Professional Output**: Delivers fully styled HTML and PDF reports with headings, paragraphs, and custom layouts. AI-Driven Insights**: Ensures clarity and relevance in every section through targeted AI analysis. Seamless Sharing**: Automatically saves reports to Google Sheets and emails them to stakeholders. This workflow is perfect for entrepreneurs, consultants, or strategists looking to streamline their SWOT analysis process and deliver high-quality, professional reports effortlessly.

How it works This workflow acts like your own personal AI assistant, automatically fetching and summarizing the most relevant Security, Privacy, and Compliance news from curated RSS feeds. It processes only the latest articles (past 24 hours), organizes them by category, summarizes key insights using AI, and delivers a clean HTML digest straight to your inbox—saving you time every day. Key Highlights Handles three independent tracks: Security, Privacy, and Compliance Processes content from customizable RSS sources (add/remove easily) Filters fresh articles, removes duplicates, and sorts by recency Uses AI to summarize and format insights in a digestible format Sends polished HTML digests via Gmail—one per category Fully modular and extensible—adapt it to your needs Personalization You can easily tailor the workflow: 🎯 Customize feeds: Add or remove sources in the following Code nodes: Fetch Security RSS, Fetch Privacy Feeds, and Fetch Compliance Feeds 🔧 Modify logic: Adjust filters, sorting, formatting, or even AI prompts as needed 🧠 Bring your own LLM: Works with Gemini, but easily swappable for other LLM APIs Setup Instructions Requires Gmail and LLM (e.g., Gemini) credentials Prebuilt with placeholders for RSS feeds and email output Designed to be readable, maintainable, and fully adaptable

How it works This workflow automates the process of checking for and applying updates to a self-hosted n8n instance running on Docker. It runs on a schedule, checks for new versions, summarizes the release notes with AI, and asks for your approval via Telegram before updating. Scheduled Check: The workflow runs hourly, triggered by a Schedule node. Version Discovery: It first confirms it's running in a Docker environment. It uses SSH to connect to the host machine and inspects the running n8n container to find its current version tag (e.g., latest or next). It then queries the Docker Hub API to compare the image digest (a unique ID for an image version) of the running version against the latest available version for that tag. Update Detection: If the digests do not match, it means a new image has been pushed for your version tag (e.g., a new latest image is available), and an update is needed. AI-Powered Release Notes: It fetches the official release notes for the new version from the GitHub API. An AI model (LLM) summarizes these technical notes into a concise, human-readable overview of the key features and fixes. Manual Approval: It sends a message to a Telegram chat with the AI-generated summary and two buttons: "✅ Update" and "❌ Ignore". The workflow then pauses and waits for your response. Execute Update: If you approve the update, the workflow uses SSH to run a docker compose command on your server, which pulls the new image, stops the old containers, and starts the new ones. Set up steps Setup time: ~5-10 minutes SSH Credentials: Go to Credentials and create a new SSH credential with the username, host, and password/private key for the server where your n8n Docker instance is running. Select this credential in the Get n8n Current Version and Update Docker nodes. Telegram Bot Credentials: Create a Telegram Bot and get its API token. Go to Credentials and create a new Telegram credential with your bot's token. Select this credential in the Send a text message node. AI Model Credentials: Ensure you have credentials for an AI provider (like Google AI, OpenAI, etc.) set up. Select your desired credential in the Google Gemini Chat Model node (or replace it with your preferred LLM node). Configure Paths and Commands: Open the Docker Path node. Set the docker_path to the absolute path of your docker-compose.yml file on the server (e.g., /root/n8n). If you use workers, adjust the worker_command to include the correct --scale argument for your setup. If not, you can leave it blank. Set Your Chat ID: Open the Approve Update Telegram node and enter your personal Telegram Chat ID in the Chat ID field. This ensures the approval message is sent to you. Activate the workflow. It will now check for updates every hour. To enable fully automatic updates (without manual approval): Delete the nodes from Get n8n Releases to Approved ? and connect the Needs Update ? node directly to the Update Docker node.

AI-Driven Handbook Generator with Multi-Agent Orchestration (Pyragogy AI Village) This n8n workflow is a modular, multi-agent AI orchestration system designed for the collaborative generation of Markdown-based handbooks. Inspired by peer learning and open publishing workflows, it simulates a content pipeline where specialized AI agents act in defined roles, enabling true AI–human co-creation and iterative refinement. This project is a core component of Pyragogy, an open framework dedicated to ethical cognitive co-creation, peer AI–human learning, and human-in-the-loop automation for open knowledge systems. It implements the master orchestration architecture for the Pyragogy AI Village, managing a complex sequence of AI agents to process input, perform review, synthesis, and archiving, with a crucial human oversight step for final approval. How It Works: A Deep Dive into the Workflow's Architecture The workflow orchestrates a sophisticated content generation and review process, ideal for creating AI-driven knowledge bases or handbooks with human oversight. Webhook Trigger & Input:* The process begins when the workflow receives a JSON input via a *Webhook** (specifically at /webhook/pyragogy/process). This input typically includes details like the handbook's title, initial text, and relevant tags. Database Verification:* It first verifies the connection to a *PostgreSQL database** to ensure data persistence. Meta-Orchestrator:* A powerful *Meta-Orchestrator** (powered by gpt-4o from OpenAI) analyzes the initial request. Its role is to dynamically determine and activate the optimal sequence of specialized AI agents required to fulfill the input, ensuring tasks are dynamically routed and assigned based on each agent’s responsibility. Agent Execution & Iteration:** Each activated agent executes its step using OpenAI or custom endpoints. This involves: Content Generation: Agents like the Summarizer and the Synthesizer generate new content or refine existing text. Peer Review Board: A crucial aspect is the Peer Review Board, comprised of AI agents like the Peer Reviewer, the Sensemaking Agent, and the Prompt Engineer. This board evaluates the output for quality, coherence, and accuracy. Reprocessing & Redrafting: If the review agents flag a major_issue, they trigger redrafting loops by generating specific feedback for the Synthesizer. This mechanism ensures iterative refinement until the content meets the required standards. Human-in-the-Loop (HITL) Review:* For final approval, particularly for the Archivist agent's output, a *human review process* is initiated. An email is sent to a human reviewer, prompting them to approve, reject, or comment via a "Wait for Webhook" node. This ensures *human oversight** and quality control. Content Persistence & Versioning:** If the content is approved by the human reviewer: It's saved to a PostgreSQL database (specifically to the handbook_entries and agent_contributions tables). Optionally, the content can be committed to a GitHub repository for version control, provided the necessary environment variables are configured. Notifications:* The final output and the sequence of executed agents can be sent as a notification to *Slack**, if configured. Observe the dynamic loop: orchestrate → assign → generate → review (AI/human) → store Included AI Agents This workflow leverages a suite of specialized AI agents, each with a distinct role in the content pipeline: Meta-Orchestrator:** Determines the optimal sequence of agents to execute based on the input. Summarizer Agent:** Summarizes text into key points (e.g., 3 key points). Synthesizer Agent:** Synthesizes new text and effectively incorporates reprocessing feedback from review agents. Peer Reviewer Agent:** Reviews generated text, highlighting strengths, weaknesses, and suggestions, and indicates major_issue flags. Sensemaking Agent:** Analyzes input within existing context, identifying patterns, gaps, and areas for improvement. Prompt Engineer Agent:** Refines or generates prompts for subsequent agents, optimizing their output. Onboarding/Explainer Agent:** Provides explanations of the process or offers guidance to users. Archivist Agent:** Prepares content for the handbook, manages the human review process, and handles archiving to the database and GitHub. Setup Steps & Prerequisites To get this powerful workflow up and running, follow these steps: Import the Workflow: Import the pyragogy_master_workflow.json (or generate-collaborative-handbooks-with-gpt4o-multi-agent-orchestration-human-review.json) into your n8n instance. Connect Credentials: Postgres: Set up a Postgres Pyragogy DB credential (ID: pyragogy-postgres). OpenAI: Configure an OpenAI Pyragogy credential (ID: pyragogy-openai) for all OpenAI agents. GPT-4o is highly suggested for optimal performance. Email Send: Set up a configured email credential (e.g., for sending human review requests). Define Environment Variables: Define essential environment variables (an .env.template is included in the repository). These include: API base for OpenAI. Database connection details. (Optional) GitHub: For content persistence and versioning, configure GITHUB_ACCESS_TOKEN, GITHUB_REPOSITORY_OWNER, and GITHUB_REPOSITORY_NAME. (Optional) Slack: For notifications, configure SLACK_WEBHOOK_URL. Send a sample payload to your webhook URL (/webhook/pyragogy/process): { "title": "History of Peer Learning", "text": "Peer learning is an educational approach where students learn from and with each other...", "tags": ["education", "pedagogy"], "requireHitl": true } Ideal For This workflow is perfectly suited for: Educators and researchers exploring AI-assisted publishing and co-authoring with AI. Knowledge teams looking to automate content pipelines for internal or external documentation. Anyone building collaborative Markdown-driven tools or AI-powered knowledge bases. Documentation & Contributions: An Open Source and Collaborative Project This workflow is an open-source project and community-driven. Its development is transparent and open to everyone. We warmly invite you to: Review it:** Contribute your analysis, identify potential improvements, or report issues. Remix it:** Adapt it to your specific needs, integrate new features, or modify it for a different use case. Improve it:** Propose and implement changes that enhance its efficiency, robustness, or capabilities. Share it back:** Return your contributions to the community, either through pull requests or by sharing your implementations. Every contribution is welcome and valued! All relevant information for verification, improvement, and collaboration can be found in the official repository: 🔗 GitHub – pyragogy-handbook-n8n-workflow

This workflow allows you to send multi-step email campaigns using n8n, Gmail and Google Sheets. You define a sequence of emails, and a list of email addresses to send them to. The first email is sent to everyone, but the later emails in the sequence are only sent if no-one has replied to the thread yet. This means you only need to worry about replying to people who respond to your email, not chasing people who don’t. Requirements A list of emails in a Google sheet. You can define extra info that will be available to your email templates (e.g. name, company, etc.) A sequence of emails to send, plus how long to wait to send each one, e.g. On day 0:** “Hi, {name} — nice to meet you at the conference. Was wondering whether {company} would be interested in a quick call about X?” On day 3:** “Hi, {name}, just wanted to check in on this. Let me know if there’s any interest!” On day 7:** “{name}, just wanted to give this one last try” A Gmail account (although you could also swap out that part for any other email service) How it works When sending the emails, n8n inserts a hidden attribute in each one that tags it as being part of the email campaign. It then regularly looks through the email threads with that tag and checks whether: No-one has replied yet It’s time to send the next message The workflow doesn’t send emails on weekends. Notes This workflow is not intended for spam! Please use responsibly You can use this workflow for multiple different campaigns by making copies of the workflow and changing the sequence / Google Sheet that it uses