by AlQaisi
Unleashing Creativity: Transforming Children's English Storytelling with Automation and AI Check this example: https://t.me/st0ries95 Summary In the realm of children's storytelling, automation is revolutionizing the way captivating tales are created and shared. This article highlights the transformative power of setting up a workflow for AI-powered children's English storytelling on Telegram. By delving into the use cases and steps involved, we uncover how this innovative approach is inspiring young minds and fostering a love for storytelling in children. Usecase The workflow for children's stories is a game-changer for content creators, educators, and parents seeking to engage children through imaginative and educational storytelling. Here's how this workflow is making a difference: Streamlined Content Creation: By providing a structured framework and automation for story generation, audio creation, and image production, the workflow simplifies the process of crafting captivating children's stories. Enhanced Educational Resources: Teachers can leverage this workflow to develop interactive educational materials that incorporate storytelling, making learning more engaging for students. Personalized Parental Engagement: Parents can share personalized stories with their children, nurturing a passion for reading and creativity while strengthening family bonds through shared storytelling experiences. Community Connection: Organizations and community groups can use the workflow to connect with their audience and promote literacy and creativity by creating and sharing children's stories. Inspiring Imagination: Through automated creation and sharing of enchanting stories, the workflow aims to spark imagination, inspire young minds, and instill a love for storytelling in children. Node Explanation OpenAI Chat Model: Utilizes the OpenAI Chat Model to generate text for the children's stories. Schedule Trigger: Triggers the workflow at set intervals (every 12 hours) to generate new stories. Recursive Character Text Splitter: Splits text into smaller chunks for processing. OpenAI Chat Model2: Another OpenAI Chat Model node for generating prompts for image creation. Send Story Text: Sends the generated story text to a specified Telegram chat. Send Audio for the Story: Sends audio files of the stories to the Telegram chat. Send Story Picture: Shares images related to the stories on Telegram. Create a Kids Stories: Generates captivating short tales for kids using prompts provided. Generate Audio for the Story: Converts generated text into audio files for storytelling. Create a Prompt for DALL-E: Creates prompts for generating images related to the stories. Generate a Picture for the Story: Generates pictures based on the prompts for visual storytelling. By embracing automation in children's storytelling, we unleash creativity, inspire young minds, and create magical experiences that resonate with both storytellers and listeners alike.
by Emmanuel Bernard
🎉 Do you want to master AI automation, so you can save time and build cool stuff? I’ve created a welcoming Skool community for non-technical yet resourceful learners. 👉🏻 Join the AI Atelier 👈🏻 Accepting payments via credit card online is a crucial component for the majority of businesses. Stripe provides a robust suite of tools for processing payments, yet many people still find it challenging to create a simple payment page and distribute it to their customers. 📋 Blog post 📺 Youtube Video This n8n workflow aims to offer the simplest and most direct method for generating a Stripe payment link. Features Quick Stripe Payment Link Creation:** Simply enter a title and select a price to create a Stripe payment link in seconds. Set Up Steps Connect your Stripe credentials. Fill the config node (currency). This n8n workflow template is crafted to significantly reduce the creation time of a Stripe Payment link. Created by the n8ninja.
by Mobder
This workflow automatically connects to a Cloudflare R2 bucket (via S3-compatible API), filters out files older than 14 days, deletes them, and then sends a Telegram notification for each deletion. It runs on a daily schedule. 🕘 Schedule Trigger Executes the workflow once a day at a specified hour (e.g., 9 AM). 📦 S3 Node – List Files Retrieves all objects from a specific folder (prefix) in a Cloudflare R2 bucket using the S3 API. 🔎 Code Node – Filter Files Older Than 2 Weeks Filters the retrieved files by comparing their LastModified timestamps to the current date. Files older than 14 days (2 weeks) are selected for deletion. 🗑️ S3 Node – Delete File Deletes each filtered file from the R2 bucket. 📨 Telegram Node – Notify Deletion Sends a Telegram message with the name of the deleted file to a specified chat ID. The message includes:
by Vishal Kumar
Problem Teams often struggle with email overload, leading to missed actions and inefficient meeting preparation. Solution This workflow automates email management using n8n and AI. It fetches emails, summarizes key points and actions, and sends two concise updates—one in the morning and one at night. How It Works Triggers at 7 AM and 9 PM: Automates the process to summarize emails received during specific time blocks. Fetches Emails: Retrieves emails from the last 24 hours or after a specific time. Summarizes with AI: Uses OpenAI to process the email content into actionable summaries. Sends Team Updates: Compiles the summaries into a concise, formatted email and sends it to the team. Expected Results Significant reduction in missed actions and follow-ups. Customizations Adjust timings, filters, and recipients to suit your team’s needs.
by Hugues Stock
What does this template do ? This workflow performs scheduled health checks on a list of URLs stored in a Google Sheet. Every X minutes, it retrieves the URLs, sends HTTP requests to check their availability, and notifies a Telegram chat if any request fails. You can easily replace Telegram with any other notification service supported by n8n, such as Slack, Discord, Email, or Microsoft Teams. Use Case Ideal for monitoring internal or external services, ensuring uptime and responsiveness. Integrate with your preferred messaging platform for real-time failure notifications—without setting up complex infrastructure. What the Workflow Does ⏰ Triggers at regular intervals using Schedule Trigger 📄 Reads URLs from a Google Sheet 🌐 Sends HTTP requests to check URL health 🚨 Sends failure alerts (including error code and URL) to Telegram (or any service of your choice) Apps & Services Used Google Sheets Telegram (or alternative notification service) HTTP Request Pre-requisites Telegram bot and chat ID (if using Telegram) Connected Google Sheet with a URLS column (template) Customization Tips Adjust the schedule interval in the trigger node Replace Telegram with Slack, Email, Discord, or any other notification node Customize alert messages with more context or formatting Add filters, retries, or logging as needed
by Samir Saci
Tags: Sustainability, CSRD, Reporting, ESG, Compliance, Automation Context Hey! I'm Samir, a Supply Chain Engineer and Data Scientist from Paris, founder of LogiGreen Consulting We help companies automate sustainability workflows using AI, Data Analytics, and No-Code tools like N8N. > Sustainability Reporting meets Automation with n8n! 📬 For business inquiries, you can add me on Here What is a CSRD XHTML Report? Under the Corporate Sustainability Reporting Directive (CSRD), companies must publish their ESG disclosures in a machine-readable XHTML format, embedding XBRL tags that make the report structured and standardized. These files must follow strict formatting and tagging rules to ensure compliance, traceability, and accessibility for both regulators and analysts. Who is this template for? This workflow is designed for sustainability teams, ESG consultants, or developers who want to automatically check the structure and format of CSRD reports submitted in XHTML. How does it work? This N8N workflow automates the audit process: 📤 Input Node → Uploads or fetches the XHTML file via URL or Webhook. 🧪 Validates Structure → Uses a custom code node to parse HTML and identify required tags (e.g., <ix:nonNumeric>, namespaces). 📋 Outputs a Report → Returns a summary report of errors, warnings, and key metadata (like entity name, reporting period). 📤 Export Option → Save the results in Google Sheets or send via email. Prerequisite A sample XHTML file that you can find in my GitHub Repository Google Sheets API* and *OpenAI API** credentials Next Steps Follow the sticky notes inside each node to adjust parsing rules or extend validation to specific XBRL tags relevant to your sector (e.g., GHG emissions, water usage). *📺 Check my complete tutorial to understand how to use it: * 🎥 Check My Tutorial 🚀 Interested in combining CSRD compliance with automation and analytics? Let’s connect on LinkedIn Notes This workflow includes an example XHTML file to test the validator. You can plug this into your internal systems or even extend it with AI to auto-summarize the sustainability report. This workflow has been created with N8N 1.82.1 Submitted: April 3rd, 2025
by Fahmi Oktafian
This workflow is designed for content creators or AI artists who want to automate posting unique AI-generated images to their Facebook Page multiple times a day. It uses Google Gemini via LangChain to generate imaginative image prompts, and Pollinations AI to generate the images. Posts are published with hashtags and a clean caption. Who Is It For AI artists Facebook page managers Digital marketers looking for automated creative content What It Does Triggers 3x daily at 7:00, 11:00, and 17:00 (local time) Generates random AI image prompts in a retro-futuristic, cinematic, or surreal style using Google Gemini Fetches images from Pollinations AI using custom prompts Posts images automatically to your Facebook Page with hashtags Requirements n8n self-hosted or desktop (workflow uses schedule trigger) Pollinations API (no auth needed) Facebook Page with Facebook Graph API token: Required scopes: pages_manage_posts, pages_read_engagement, pages_show_list Google Gemini API Key (used via LangChain node) How to Customize Change the prompt style in the Basic LLM Chain node (promptType: define) to suit your theme. Adjust Set The Generator Image node if you want: Different image sizes (width / height) Different seed randomness Other Pollinations models (&model=kontext) Add Telegram/Twitter nodes if you want cross-posting Use Set node to allow easy user-level configuration of models, hashtags, times, etc.
by Oriol Seguí
This fun workflow automates the generation and delivery of personalized jokes by email based on the names or objects entered in the form. The process works as follows: On form submission The workflow starts when someone submits a form with the required names or objects to create the joke. You can modify the form fields to make the jokes more creative. Set the output language Manually define the language in which you want to receive the joke. OpenAI Message Model Uses the OpenAI model to generate the joke based on the prompt and in the chosen language. (The response is limited to around 200 tokens.) Gmail: send message The generated joke is automatically sent to the specified email address via Gmail.
by Jonathan
This workflow searches for mentions of a company's name on Twitter and shares the tweets that mention it in a Slack channel. Prerequisites A Slack account and credentials A Twitter account and credentials Nodes Cron node executes the workflow every 10 minutes. Note that if you change the Mode from "Every X" you will need to manually update the Date & Time node to subtract the interval you are using. Set nodes set the required values (name of the Slack channel, name of the Twitter account to search for, the tweet text and URL). Date & Time node subtracts 10 minutes from the workflow execution time. Twitter node gets the latest 50 tweets that mention the specified account. IF node filters tweets posted in the past 10 minutes. Slack node posts tweets in a Slack channel.
by kreonovo
What this does: This automation will dynamically create channels on your Discord server for each of your Webflow forms then send formatted form submissions as messages in those channels. This is useful for Webflow will only notify a single email of a form submission. By using this workflow you can enhance your Webflow form management by receiving them in Discord. This is great if you need to notify multiple team members or communities of your form submissions. Usage guide Full written and video guide Simply create credentials for Webflow and Discord and connect them to the nodes. The video guide demonstrates a realworld usecase using a Webflow template and breaks down each node in detail about how it works.
by Baptiste Fort
🎯 Workflow Goal Still manually checking form responses in your inbox? What if every submission landed neatly in Airtable — and you got a clean Slack message instantly? That’s exactly what this workflow does. No code, no delay — just a smooth automation to keep your team in the loop: Tally → Airtable → Slack Build an automated flow that: receives Tally form submissions, cleans up the data into usable fields, stores the results in Airtable, and automatically notifies a Slack channel. Step 1 – Connect Tally to n8n What we’re setting up A Webhook node in POST mode. Technical Add a Webhook node. Set it to POST. Copy the generated URL. In Tally → Integrations → Webhooks → paste this URL. Submit a test response on your form to capture a sample structure. Step 2 – Clean the data After connecting Tally, you now receive raw data inside a fields[] array. Let’s convert that into something clean and structured. Goal Extract key info like Full Name, Email, Phone, etc. into simple keys. What we’re doing Add a Set node to remap and clean the fields. Technical Add a Set node right after the Webhook. Add new values (String type) manually: Name: Full Name → Value: {{$json"fields"["value"]}} Name: Email → Value: {{$json"fields"["value"]}} Name: Phone → Value: {{$json"fields"["value"]}} (Adapt the indexes based on your form structure.) Use the data preview in the Webhook node to check the correct order. Output You now get clean data like: { "Full Name": "Jane Doe", "Email": "jane@example.com", "Phone": "+123456789" } Step 3 – Send to Airtable ✅ Once the data is cleaned, let’s store it in Airtable automatically. Goal Create one new Airtable row for each form submission. What we’re setting up An Airtable – Create Record node. Technical Add an Airtable node. Authenticate or connect your API token. Choose the base and table. Map the fields: Name: {{$json["Full Name"]}} Email: {{$json["Email"]}} Phone: {{$json["Phone"]}} Output Each submission creates a clean new row in your Airtable table. Step 4 – Add a delay ⌛ After saving to Airtable, it’s a good idea to insert a short pause — this prevents actions like Slack messages from stacking too fast. Goal Wait a few seconds before sending a Slack notification. What we’re setting up A Wait node for X seconds. ✅ Technical Add a Wait node. Choose Wait for X minutes. Step 5 – Send a message to Slack 💬 Now that the record is stored, let’s send a Slack message to notify your team. Goal Automatically alert your team in Slack when someone fills the form. What we’re setting up A Slack – Send Message node. Technical Add a Slack node. Connect your account. Choose the target channel, like #leads. Use this message format: New lead received! Name: {{$json["Full Name"]}} Email: {{$json["Email"]}} Phone: {{$json["Phone"]}} Output Your Slack team is notified instantly, with all lead info in one clean message. Workflow Complete Your automation now looks like this: Tally → Clean → Airtable → Wait → Slack Every submission turns into clean data, gets saved in Airtable, and alerts your team on Slack — fully automated, no extra work.
by Daniel Ng
This n8n workflow template uses community nodes and is only compatible with the self-hosted version of n8n. Auto Backup n8n Credentials to Google Drive This workflow automates the backup of all your n8n credentials. It can be triggered manually for on-demand backups or will run automatically on a schedule (default to daily execution). It executes a command to export decrypted credentials, formats them into a JSON file, and then uploads this file to a specified Google Drive folder. This process is essential for creating secure backups of your sensitive credential data, facilitating instance recovery or migration. We recommend you use this backup workflow in conjunction with a restore solution like our "Restore Credentials from Google Drive Backups" template. For more powerful n8n templates, visit our website or contact us at AI Automation Pro. We help your business build custom AI workflow automation and apps. Who is this for? This workflow is designed for n8n administrators and users who require a reliable method to back up their n8n credentials. It is particularly beneficial for those managing self-hosted n8n instances, where direct server access allows for command-line operations. What problem is this workflow solving? / use case Managing and backing up n8n credentials manually can be a tedious task, susceptible to errors and often overlooked. This workflow solves the problem by providing an automated, secure, and consistent way to back up all credential data. The primary use case is to ensure that a recovery point for credentials exists, safeguarding against data loss, assisting in instance migrations, or for general disaster recovery preparedness, ideally on a regular, automated basis. What this workflow does The workflow proceeds through the following steps: Triggers: The workflow includes two types of triggers: Manual Trigger: An "On Click Trigger" allows for on-demand execution whenever needed. Scheduled Trigger: A "Schedule Trigger" is included, designed for automated daily backups. Export Credentials: An "Execute Command" node runs the shell command npx n8n export:credentials --all --decrypted. This command exports all credentials from the n8n instance in a decrypted JSON format. Format JSON Data: The output from the command is processed by a "Code" node ("JSON Formatting Data"). This node extracts, parses, and formats the JSON to ensure it is well-structured. Aggregate Credentials: An "Aggregate" node ("Aggregate Cridentials") combines individual credential entries into a single JSON array. Convert to File: The "Convert To File" node transforms the aggregated JSON array into a binary file, preparing it as n8n_backup_credentials.json. Upload to Google Drive: The "Google Drive Upload File" node uploads the generated JSON file to a specified folder in Google Drive. Step-by-step setup To use this workflow, you'll need to configure a few things: n8n Instance Environment: The n8n instance must have access to the npx command and the n8n-cli package. The "Execute Command" node must be able to run shell commands on the server where n8n is hosted. Google Drive Credentials: In the "Google Drive Upload File" node, select or create your Google Drive OAuth2 API credentials. Google Drive Folder ID: Update the folderId parameter in the "Google Drive Upload File" node with the ID of your desired Google Drive folder. File Name (Optional): The backup file will be named n8n_backup_credentials.json. You can customize this in the "Google Drive Upload File" node. Configure Schedule Trigger: The workflow includes a "Schedule Trigger". Review its configuration to ensure it runs daily at your preferred time. How to customize this workflow to your needs Adjust Schedule:** Fine-tune the "Schedule Trigger" for different intervals (e.g., weekly, hourly) or specific days/times as per your requirements. Notifications:** Add notification nodes (e.g., Slack, Email, Discord) after the "Google Drive Upload File" node to receive alerts upon successful backup or in case of failures. Enhanced Error Handling:** Incorporate error handling branches using "Error Trigger" nodes or conditional logic to manage potential failures. Client-Side Encryption (Advanced):* If your security policy requires the backup file itself to be encrypted at rest in Google Drive, you can add a step *before uploading. Insert a "Code" node or use an "Execute Command" node with an encryption utility (like GPG) to encrypt the n8n_backup_credentials.json file. Remember that you would then need a corresponding decryption process. Dynamic File Naming:** Modify the "Google Drive Upload File" node to include a timestamp in the filename (e.g., n8n_backup_credentials_{{$now.toFormat('yyyyMMddHHmmss')}}.json) to keep multiple versions of backups. Important Note on Credential Security To simplify the setup and use of this backup workflow, the exported credentials are stored in the resulting JSON file in a decrypted state. This means the backup file itself is not further encrypted by this workflow. Consequently, it is critically important to: Ensure the Google Drive account used for backups is highly secure (e.g., strong password, two-factor authentication). Restrict access to the Google Drive folder where these backups are stored to only authorized personnel.