Workflow Templates

. Read and store IOT sensor data with the MQTT Trigger and InfluxDB tonyduffy@protonmail.com This workflow is for users wanting a practical example of how to obtain data from remote IOT systems using the MQTT protocol in an n8n environment. The template provides typical n8n node implementation and configuration settings necessary to read and store IOT data. The workflow reads the temperature and humidity data from a remote IOT system in this case a DHT22 sensor connected to a ESP32 micro controller. The data is parsed into the correct JSON format and then ingested in an InfluxDB data bucket. From there the stored temperature and humidity values can be displayed in real time. The workflow can be easily modified to read any MQTT driven device data. Remote IOT Sensor Setup The ESP32 controller with the DHT22 sensor are running on a Wokwi simulator. The simulator uses micro python to publish a MQTT "wokwi-weather" topic with the temperature and humidity payloads to an online Mosquitto MQTT broker. The n8n MQTT trigger node subscribes to the topic on the broker and reads the payload values when any changes are published. The code node then prepares the payload for JSON format. The HTTP request node ingests the data in a InfluxDB bucket How to customise this workflow to your needs Wokwi IOT ESP32 simulator You will need to setup a free account at Wokwi.com Once created search for a project "Micro-Python MQTT Weather Logger (ESP32)" Then when the MQTT weather logger project is open change lines 28 and 29 to the following 28 MQTT_CLIENT_ID = "" 29 MQTT_BROKER = "test.mosquitto.org" You then can start the simulation by clicking on the green arrow and it will connect the mosquitto broker and the "wokwi-weather" topic will be published. By clicking on the DHT22 sensor the temperature and humidity bar will appear and you can change the values to send updated payload values to the broker. InfluxDB You will require access to functioning InfluxDB database to utilise this workflow Note : You will have to provide the following for the HTTP request node to connect to InfluxDB. The URL and port of the desired InfluxDB (In this case the InfluxDB is running locally on port 8086 ie. http://localhost:8086.) InfluxDB bucket for the data. ( In this case the created bucket name is "wokwi-data") The Organization ID of the InfluxDB. This can be obtained for the InfluxDB admin page A generated API token to read and write to the InfluxDB bucket. Created from the InfluxDB admin n8n workflow. The MQTT trigger node is configured to subscribe to the "wokwi-weather" topic on the test Mosquitto MQTT broker. It reads the temperature and humidity data sent by ESP32. The code node uses Javascript to move the temperature and humidity payloads to JSON format. This is flexible and can easily modified. The HTTP request node posts the JSON payloads to the InfluxDB bucket. When the above is configured the workflow should function correctly. Thanks to the many who have downloaded this template. Let me know on what you would like to build. Contact me at tonyduffy@protonmail.com

AI-powered Telegram message analysis with multi-tool notifications (Gmail, Telegram) This workflow triggers on Telegram updates, analyzes messages with an AI Agent using MCP tools, and sends notifications via Gmail and Telegram. Detailed Description Who is this for? This template is for teams, businesses, or individuals using Telegram for communication who need automated, AI-driven insights and notifications. It’s ideal for customer support teams, project managers, or tech enthusiasts wanting to process Telegram messages intelligently and receive alerts via Gmail and Telegram. What problem is this workflow solving? Use case This workflow solves the challenge of manually monitoring Telegram messages by automating message analysis and notifications. For example, a support team can use it to analyze customer queries on Telegram with AI tools (OpenAI, Airbnb, Brave, FireCrawl) and get notified via Gmail and Telegram for quick responses. What this workflow does The workflow: Triggers on a Telegram update (e.g., a new message) using the Listen for Telegram Updates node. Processes the message with the Analyze Message with AI node, an AI Agent using MCP tools like OpenAI Chat, Airbnb search, Brave search, and FireCrawl. Sends notifications via the Send Gmail Notification and Send Telegram Alert nodes, including AI-generated insights. Setup Prerequisites: Telegram bot token for the trigger and notification nodes. Gmail API credentials for sending emails. API keys for OpenAI, Airbnb, Brave, and FireCrawl (used in the AI Agent). Steps: Configure the Listen for Telegram Updates node with your Telegram bot token. Set up the Analyze Message with AI node with your OpenAI API key and other tool credentials. Configure the Send Gmail Notification node with your Gmail credentials. Set up the Send Telegram Alert node with your Telegram bot token. Test by sending a Telegram message to trigger the workflow. Setup takes ~15-30 minutes. Detailed instructions are in sticky notes within the workflow. How to customize this workflow to your needs Add more AI tools (e.g., sentiment analysis) in the Analyze Message with AI node. Modify the notification message in the Send Gmail Notification and Send Telegram Alert nodes to include specific AI outputs. Add nodes for other channels like Slack or SMS after the AI Agent. Disclaimer This workflow uses Community nodes (e.g., Airbnb, Brave, FireCrawl), which are available only in self-hosted n8n instances. Ensure your n8n setup supports Community nodes before using this template.

Overview This automated workflow fetches Upwork job postings using Apify, removes duplicate job listings via Airtable, and sends new job opportunities to Slack. Key Features: Automated job retrieval** from Upwork via Apify API Duplicate filtering** using Airtable to store only unique jobs Slack notifications** for new job postings Runs every 30 minutes** during working hours (9 AM - 5 PM) This workflow requires an active Apify subscription to function, as it uses the Apify Upwork API to fetch job listings. Who is This For? This workflow is ideal for: Freelancers looking to track Upwork jobs in real time Recruiters automating job collection for analytics Developers who want to integrate Upwork job data into their applications What Problem Does This Solve? Manually checking Upwork for jobs is time-consuming and inefficient. This workflow: Automates job discovery based on your keywords Filters out duplicate listings, ensuring only new jobs are stored Notifies you on Slack when new jobs appear How the Workflow Works 1. Schedule Trigger (Every 20 Minutes) Triggers the workflow at 20-minute intervals Ensures job searches are only executed during working hours (9 AM - 5 PM) 2. Query Upwork for Jobs Uses Apify API to scrape Upwork job posts for specific keywords (e.g., "n8n", "Python") 3. Find Existing Jobs in Airtable Searches Airtable to check if a job (based on title and link) already exists 4. Filter Out Duplicate Jobs The Merge Node compares Upwork jobs with Airtable data The IF Node filters out jobs that are already stored in the database 5. Save Only New Jobs in Airtable The Insert Node adds only new job listings to the Airtable collection 6. Send a Slack Notification If a new job is found, a Slack message is sent with job details Setup Guide Required API Keys Upwork Scraper (Apify Token) – Get your token from Apify Airtable Credentials Slack API Token – Connect Slack to n8n and set the channel ID (default: #general) Configuration Steps Modify search keywords in the 'Assign Parameters' node (startUrls) Adjust the Working Hours in the 'If Working Hours' node Set your Slack channel in the Slack node Ensure Airtable is connected properly - you'll need to create a table with 'title' and 'link' columns. Adjust the 'If Working Hours' node to match your timezone and hours, or remove it altogether to receive notifications and updates constantly. How to Customize the Workflow Change keywords: update the startUrls in the 'Assign Parameters' node to track different job categories Change 'If Working Hours': Modify conditions in the IF Node to filter times based on your needs Modify Slack Notifications: Adjust the Slack message format to include additional job details Why Use This Workflow? Automated job tracking without manual searches Prevents duplicate entries in Airtable Instant Slack notifications for new job opportunities Customizable – adapt the workflow to different job categories Next Steps Run the workflow and test with a small set of keywords Expand job categories for better coverage Enhance notifications by integrating Telegram, Email, or a dashboard This workflow ensures real-time job tracking, prevents duplicates, and keeps you updated effortlessly.

A lightweight no-code workflow that captures student check-in data via a mobile app or webhook, stores it in a Google Sheet, and instantly notifies the class teacher via email. 🎯 What This Does Students check in using a mobile app or QR code Their data is formatted and saved to a Google Sheet A notification email is sent to the class teacher in real time 🔧 Workflow Steps | Step | Description | | ------------------------------ | ----------------------------------------------------------- | | Student Check-in (Webhook) | Triggered via POST request from mobile app or QR scanner | | Format Data | Cleans and prepares incoming JSON into structured format | | Append or Update Row | Saves student check-in data into Google Sheets | | Email Teacher | Sends formatted check-in email to the class teacher | | Success Response | Returns a confirmation response to the mobile app or system | 📱 Example Check-in Input (Webhook Body) { "student_name": "Aarav Mehta", "student_id": "STU025", "class_name": "Grade 6B" } 📊 Google Sheets Format | Student Name | Student ID | Class | Date | Time | | ------------ | ---------- | -------- | ---------- | ----- | | Aarav Mehta | STU025 | Grade 6B | 2025-08-06 | 08:35 | Date and time are added dynamically in the workflow. ⚙️ Setup Requirements n8n Instance** – Deployed with public webhook support Google Sheets** – Sheet with columns as shown above Email SMTP Settings** – For sending teacher notification ✅ Quick Setup Instructions Import the workflow into your n8n instance Replace the webhook URL in your mobile app Set your Google Sheet ID and range Enter the teacher’s email in the “Email Teacher” node Test with mock data Deploy and use live!

This workflow turns any Telegram bot into an AI-powered social media command center for photos, videos and voice notes. video demo From one Telegram chat you can: Send a photo and auto-post it to Instagram, TikTok and Pinterest with AI captions. Send a video and: Let AI generate titles + descriptions and upload it to TikTok, Instagram and YouTube. Use /thumb to generate 4 custom thumbnails with Nano Banana Pro. Use /edit ... to run FFmpeg edits (cut, mute, resize, speed, etc.) via Upload-Post FFmpeg jobs and get the edited video back in Telegram. Send a voice note and turn it into posts for LinkedIn, X (Twitter) and Threads, then auto-publish. Keep human approval in the loop: every caption or text post is shown in Telegram for you to accept before publishing. Out of the box, the captions and long descriptions are optimized for Spanish (es-ES), but you can easily change the prompts to any language or brand voice. What You Can Do From Telegram 1. Photo → Instagram, TikTok & Pinterest Just send a photo (or image as document) to your Telegram bot: The workflow downloads the photo from Telegram. Gemini 2.5 Flash** analyzes the image plus your caption/text (if any). An AI Agent generates platform-specific descriptions for: TikTok (short hook, 90 chars) Instagram Pinterest (title + description) You receive a message in Telegram with all the proposed descriptions. You approve or reject with inline buttons. On approval, Upload-Post publishes the photo to: Instagram TikTok Pinterest (to the board you configured) and sends back a status message with success flags, post URLs and error messages. 2. Video → TikTok, Instagram & YouTube (no commands) If you send a video with no special caption: The workflow treats it as a standard video post. It fetches the file from Telegram. Gemini 2.5 Flash** analyzes the video and describes its content. An AI Agent turns that description + your caption into: TikTok description Instagram description YouTube title + description You get a Telegram message with the three platform descriptions to review. Once you approve: It shows “Uploading…” in Telegram. The video is sent to Upload-Post, which uploads to TikTok, Instagram and YouTube with the generated text. Finally, you receive an upload report for each platform (success, URL, error message). 3. /thumb → AI Thumbnails for Your Video (Nano Banana Pro) If you send a video with caption exactly /thumb: The workflow downloads the video. Gemini 2.5 Flash* generates a *long, SEO-rich description in Spanish** of everything that happens in the video. A second AI Agent uses that detailed description to create 3 concepts: Each concept has: title, description, and a full prompt_thumbnail (Spanish, single line) specially crafted for Nano Banana Pro. In Telegram you see the 3 concepts (titles) and select: 0, 1, 2 or “create new”. Once you choose a concept: The prompt is sent to Nano Banana Pro (fal-ai/nano-banana-pro/edit) with your reference face image (configurable). Nano Banana Pro generates 4 thumbnails (16:9). The workflow downloads the 4 images and sends them back to you in Telegram as photos so you can pick and use your favorite in your YouTube/Upload-Post pipeline. Use /thumb whenever you already have the video and just want killer thumbnails generated with AI. 4. /edit … → Natural-Language FFmpeg Video Editor If you send a video with a caption starting with /edit, for example: /edit cut the first 3 seconds and remove the audio /edit crop to vertical 9:16 and speed up x1.5 /edit blur the background and keep the subject centered The workflow behaves as a text-to-FFmpeg command generator: An AI Agent (powered by Gemini) reads your /edit instructions. It generates a safe FFmpeg command in JSON format: Always uses ffmpeg -y Uses {input} and {output} placeholders No semicolons and no dangerous shell characters The workflow then: Downloads the original video from Telegram. Calls Upload-Post FFmpeg jobs API with the video and the generated full_command. Polls the job status until it’s finished. Downloads the processed (edited) video. Sends the edited video back to you in Telegram with a simple sendVideo node. This makes Telegram a front-end for a remote FFmpeg engine: you describe the edit in natural language, and the workflow handles all the FFmpeg complexity. > Note: The edited video is returned to Telegram; if you want to auto-post it, simply send the new video again without /edit so it goes through the normal multi-platform publishing path. 5. Voice Notes → LinkedIn, X & Threads (Text Posts) For voice messages: The Telegram Trigger detects message.voice. The workflow downloads the audio file. OpenAI Whisper** transcribes the recording. An AI Agent turns the transcription into: A LinkedIn post (Spanish, long-form dev/creator style, based on your examples). A Threads post (Spanish, up to ~500 chars). A Tweet / X post or thread (English, using hooks + hashtags like #n8n, #automation, #dev). In Telegram you see a preview message with the suggested copy for Threads, LinkedIn and X. After you approve: You get an “Uploading…” message. Upload-Post publishes: To your LinkedIn organization page (configured by ID). To X (Twitter). To Threads. The workflow sends a status message with success flags and URLs for each platform. This is perfect for “talk to your phone, ship content to all your text platforms”. How the Workflow Is Structured Telegram Trigger** Listens to every incoming message and routes by type: /start → No-Op voice → Audio pipeline document/photo → Photo pipeline video → Video/thumbnail/editor pipelines (/thumb, /edit or normal) AI Blocks (Gemini + OpenAI)** Gemini 2.5 Flash for: Photo understanding. Short video descriptions (for auto-posting). Long, detailed video summaries (for thumbnail generator). OpenAI Whisper for voice transcription. Multiple AI Agents (Gemini chat) with structured JSON output parsers for: Per-platform social captions. Threads/LinkedIn/X posts. Thumbnail prompts and title concepts. FFmpeg command generation. Upload-Post Integration** Photos → Instagram, TikTok, Pinterest. Videos → TikTok, Instagram, YouTube. Text → LinkedIn page, X, Threads. FFmpeg job endpoint for server-side video editing. All uploads return status, URL and error messages back into Telegram. Human-in-the-Loop** All critical AI outputs go through sendAndWait nodes in Telegram: You review and choose whether to publish or not. You choose which thumbnail concept to use. Requirements & Setup Accounts & APIs** Telegram bot (via @BotFather). Upload-Post.com account with your social profiles connected. OpenAI API key (Whisper). Google Gemini API key (AI Studio). Nano Banana Pro / fal.ai key (for thumbnails). Runtime** n8n instance (cloud or self-hosted). FFmpeg available where n8n runs (Docker image, VM, etc.) for local checks if needed (the heavy lifting is delegated to Upload-Post FFmpeg jobs). Configuration** Create Telegram credentials with your bot token. Create Upload-Post credentials with your API token. Set upload_post_user and pinterest_board_id in the Edit Fields node. Optionally replace: Example face image URL used for Nano Banana Pro. LinkedIn organization ID. Any language / tone in the AI agent system prompts. Ideal Use Cases Creators & influencers* who want to post to every platform from *one Telegram chat**. Agencies** who want a “content butler” clients can use without touching n8n. Solo devs & makers** who publish workflows, devlogs and product updates and want: Multi-platform video posts. Voice → LinkedIn/X/Threads posts. Easy text-based video editing and thumbnail generation. Install this template, plug in your keys, talk to your bot in Telegram, and turn it into your all-in-one AI social media machine.

💥 Create viral Ads with NanoBanana & Seedance, publish on socials via upload-post Who is this for? This workflow is designed for marketers, content creators, and small businesses who want to automate the creation of engaging social media ads without spending hours on manual design, video editing, or publishing. What problem is this workflow solving? / Use case Manually creating ads for multiple platforms is time-consuming and repetitive. You need to generate visuals, edit videos, add music, and then publish them across social channels. This workflow automates the end-to-end ad production pipeline, saving time while ensuring consistent, professional-quality output. What this workflow does Receives ad ideas via Telegram. Uses NanoBanana to generate and edit realistic product images. Transforms images into engaging short videos with Seedance. Generates background music with Suno. Merges video and audio into a polished final ad. Reads brand info and generates ad copy with AI (OpenAI). Publishes ads to Instagram, TikTok, YouTube, Facebook, and X via upload-post. Stores media and campaign data in Google Drive and Google Sheets for tracking. Sends back notifications and previews via Telegram. Setup Connect your accounts: Telegram Google Drive Google Sheets OpenAI API NanoBanana API Seedance API Suno API Upload-post Prepare Google Sheets: Add a sheet for brand details (name, category, features, website). Add another sheet for video logs (status, links, captions). Configure upload-post: Ensure your social accounts (TikTok, Instagram, YouTube, Facebook, X) are linked to upload-post. How to customize this workflow to your needs Prompts* → Adjust the *image/video/music prompts** to better reflect your brand’s tone and products. Ad copy* → Modify the AI prompt inside the *Ads Copywriter Generator** to control wording, style, and structure. Publishing scope* → Choose only the platforms you want (TikTok, Instagram, etc.) inside the *upload-post** node. Storage** → Update Google Drive folder IDs and Google Sheets document IDs to match your own workspace. 👉 With this template, you get a fully automated viral ad production system powered by AI visuals, video rendering, and auto-publishing across social platforms. Perfect for scaling your content strategy while saving time. 📄 Documentation: Notion Guide Demo Video 🎥 Watch the full tutorial here: YouTube Demo Need help customizing? Contact me for consulting and support : Linkedin / Youtube

🎬 AI Video Studio Bot - Telegram to YouTube Shorts, TikTok and Instagram Reels Automation Transform text into viral shorts — all from your phone 📱✨ 🎥 Watch It In Action 🔗 Full Demo: youtu.be/OI_oJ_2F1O0 🚀 What This Workflow Does Imagine having a full-stack AI video production studio in your pocket — no editing software, no dashboard hopping, no prompt engineering. Just pure creation magic through Telegram. This n8n workflow transforms Telegram into your personal AI video factory that: Your Message → AI Magic → Viral Short → Auto-Published ⏱️ 30 seconds 🎬 2-5 minutes 📤 Done! The Complete Pipeline: 📱 Message Telegram Bot - Send text, image, or voice memo 🤖 AI Prompt Generation - GPT-4 crafts perfect video prompts 🎬 Video Creation - Veo 3, Sora 2, or Seedance generates your short 📤 Auto-Upload - Instantly publishes to YouTube Shorts 🔁 Extend & Iterate - One-tap video extension (Veo only) No manual work. No technical skills. No limits. 💡 Why This Changes Everything | Traditional Way | This Workflow | |----------------|---------------| | ❌ Open 5+ platforms | ✅ One Telegram chat | | ❌ 30 min per video | ✅ 5 min per video | | ❌ Complex prompts needed | ✅ AI writes prompts for you | | ❌ Manual uploads | ✅ Auto-publishes everywhere | | ❌ Desktop only | ✅ Works from your phone | Result: Create 10+ YouTube Shorts during your lunch break 🚀 🎨 Video Styles - Choose Your Vibe Control everything with simple Telegram commands: | Command | Style | Perfect For | |---------|-------|------------| | /general | 🎭 Creative Shorts | Product demos, hooks, viral content | | /lost | 👻 Found Footage | Mystery, horror, urban exploration | | /3d | 🎮 3D Objects | Talking products, explainers, memes | | /story | 📖 Emotional Stories | Multi-scene narratives, brand stories | No command? AI intelligently picks the best style for your message. 🤖 AI Models - Pick Your Engine Choose your video generation model right from Telegram: Veo 3 / Veo 3 Fast ⚡ Best for: Quick iterations, realistic scenes Speed: 2-3 minutes Unique: Video extension support Sora 2 🎬 Best for: Cinematic quality, long sequences Speed: 4-5 minutes Unique: Best motion consistency Seedance 1.5 Pro 🌊 Best for: Artistic effects, fluid motion Speed: 3-4 minutes Unique: Stylized aesthetics Select directly in-chat with interactive buttons! ⚡ Power Features 🎯 Smart Video Generation AI analyzes your message intent Generates optimal prompts automatically Adapts to text, images, or voice input 📤 Auto-Publishing Pipeline Uploads to YouTube Shorts instantly AI-generated titles, descriptions, tags SEO-optimized for maximum reach 🔄 Extend & Refine One-tap video extension (Veo only) Keep the vibe, extend the story No re-generation needed 💳 Credit Management Real-time credit checking Prevents failed generations Session-based tracking with Redis 🔔 Status Monitoring Real-time generation updates Webhook polling for long jobs Graceful error handling & cancellation 🗂️ Session Storage Redis-powered state management Resume interrupted workflows Track generation history 🎪 Perfect For | Creator Type | Use Case | |-------------|----------| | 🎥 Faceless Channels | Generate endless Shorts without showing face | | 🏢 Agencies | Scale content production 10x for clients | | 📱 Solo Creators | Daily Shorts from your phone, no laptop needed | | 🤖 AI Farms | Automate content pipelines end-to-end | | 🧪 Experimenters | Rapid prototyping of video ideas | | 📊 Marketers | A/B test video concepts at scale | 🛠️ Tech Stack Telegram Bot API → User interface OpenAI GPT-4 → Prompt generation KIE.ai → Video generation (Veo/Sora/Seedance) YouTube Data API → Auto-publishing Redis → Session & state management S3-compatible → Video storage n8n → Orchestration layer Requirements: ✅ Telegram Bot Token ✅ OpenAI API Key ✅ KIE.ai Account (Veo/Sora/Seedance access) ✅ YouTube OAuth Credentials ✅ Redis Instance (recommended) ✅ S3-compatible Storage ✅ n8n Instance (cloud or self-hosted) 🎬 Real-World Workflow Example You: "A golden retriever puppy discovering snow for the first time" Bot: ✨ Generating your video... 📊 Credits: 50 remaining 🎬 Using: Veo 3 Fast ⏱️ ETA: 2 minutes 2 minutes later: ✅ Your video is ready! 📺 Uploaded to YouTube Shorts 🔗 Link: youtube.com/shorts/abc123 👁️ Views: 0 → 1.2K (24 hours) [Extend Video] [Generate New] Result: Viral short created from your phone while waiting for coffee ☕ 🔧 Customization Ideas 🎨 Extend the Platform Add TikTok publishing Include Instagram Reels Add Twitter video posts Support LinkedIn video 🎙️ Alternative Inputs Replace Telegram with WhatsApp Add Discord bot interface Support Slack commands Email-to-video pipeline 🎭 Creative Variations Swap OpenAI for Claude/Gemini Add custom style presets Include watermarking steps Generate captions automatically 📊 Analytics & Tracking Log all generations to Google Sheets Track video performance metrics A/B test title/thumbnail combinations Monitor credit usage trends 📊 Success Metrics After using this workflow for 30 days: | Metric | Before | After | Improvement | |--------|--------|-------|-------------| | ⏱️ Time per video | 45 min | 5 min | 9x faster | | 📹 Videos/week | 5 | 50+ | 10x volume | | 💰 Cost per video | $15 | $2 | 7.5x cheaper | | 📱 Creation location | Desktop only | Anywhere | ∞ flexibility | | 🧠 Prompt writing | Manual | Automated | No skill needed | 🚀 Quick Start Import workflow to n8n Add credentials (Telegram, OpenAI, KIE.ai, YouTube, Redis) Configure video storage (S3) Activate workflow Message your bot and watch the magic happen Setup time: ~20 minutes First video: ~5 minutes after setup 🏷️ Tags telegram ai-video youtube-shorts automation content-creation openai veo sora seedance text-to-video social-media creator-tools faceless-channel redis s3 n8n-workflow telegram-bot video-automation shorts-generator 📜 License MIT License - Use freely, modify, share, monetize! ⚡ Stop editing. Start generating. Scale your content empire. ⚡ Created by Joe Venner | Built with ❤️ and n8n

This is an end-to-end workflow for creating a simple OpenAI Assistant. The whole process is done with n8n nodes and do not require any programming experience. The workflow is divided into three main steps: Step 1: Get a Google Drive File and Upload to OpenAI The workflow starts by retrieving a file from Google Drive using the "Get File" node. The example file used is a Music Festival document. The retrieved file is then uploaded to OpenAI using the "Upload File to OpenAI" node. Run this section only once. The file is stored persistently on the OpenAI side. Step 2: Set Up a New Assistant In this step, a new assistant is created using the "Create new Assistant" node. The assistant is given a name, description, and system prompt. The uploaded file from Step 1 is attached as a knowledge source for the assistant. Same as for Step 1, run this section only once. Step 3: Chat with the Assistant The "Chat Trigger" node initiates the conversation with the assistant. The "OpenAI Assistant" node handles the conversation, using the assistant created in Step 2. Step 4: Expand the Assistant This step provides resources for ideas on how to expand the Assistant's capabilities: Create a WhatsApp bot Create a simple Telegram bot Create a Telegram AI bot (YouTube video) By following this workflow, users can create their own AI-powered assistants using OpenAI's API and integrate them with various platforms like WhatsApp and Telegram.

Who is this for? This workflow is perfect for anyone looking to automate the process of replacing variables in Google Docs with data from form. What problem does this workflow solve? This workflow automates the process of filling Google Docs templates with data coming from n8n forms or other variables. It’s especially useful for generating documents like contracts, invoices, or reports quickly and efficiently without manual intervention. What does this workflow do? The workflow receives data from a form in n8n. It uses the form data to replace the corresponding variables (e.g., {{example_variable}}) in a Google Docs template. The document is then generated with the new values, ready for further use, such as sending or archiving. How to set up this workflow? Prepare the template: Create a Google Docs template with variables in the {{variable}} format that you want to replace with form data. Modify the variables in the n8n form: Make sure the form fields correspond to the variables you want to replace in the Google Docs template. Connect to Google Docs: Set up the connection to Google Docs in n8n using the appropriate authentication credentials. Test the workflow: Run the workflow to ensure that the form data correctly replaces the variables in the Google Docs template. How to customize this workflow to your needs? Change the data source: You can modify the form or other data sources (e.g., API) from which the replacement values will be fetched. Customize the Google Docs template: Adapt the template to include additional fields for replacement as needed. Integrate with other applications: You can expand the workflow to include actions like sending the generated document via email, saving it to Google Drive, or passing it to other systems.

This template demonstrates how to trigger an AI Agent with Siri and Apple Shortcuts, showing a simple pattern for voice-activated workflows in n8n. It's easy to customize—add app nodes before the AI Agent step to pass additional context, or modify the Apple Shortcut to send inputs like text, geolocation, images, or files. Set Up Basic instructions in template itself. Requirements n8n account** (cloud or self-hosted) Apple Shortcuts app** on iOS or macOS. Dictation ("Siri") must be activated. Download the Shortcuts template here. Key Features: Voice-Controlled AI:** Trigger AI Agent via Siri for real-time voice replies. Customizable Inputs:** Modify Apple Shortcut to send text, images, geolocation, and more. Flexible Outputs:** Siri can return the AI’s response as text, files, or customize it to trigger CRUD actions in connected apps. Context-Aware:** Automatically feeds the current date and time to the AI Agent, with easy options to pass in more data. How It Works: Activate Siri and speak your request. Siri sends the transcribed text to the n8n workflow via Apple Shortcuts. AI Agent processes the request and generates a response. Siri reads the response, or the workflow can return geolocation, files, or even perform CRUD actions in apps. Inspiration: Custom Use Cases Tweak this template and make it your own. Capture Business Cards:** Snap a photo of a business card and record a voice note. Have the AI Agent draft a follow-up email in Gmail, ready to send. Voice-to-Task Automation:** Speak a new to-do item, and the workflow will add it to a Notion task board. Business English on the Fly:** Convert casual speech into polished business language, and save the refined text directly to your pasteboard, ready to be pasted into any app. "It's late because of you" -> "There has been a delay, and I believe your input may have contributed to it."

Welcome to my AI Social Media Caption Creator Workflow! What this workflow does This workflow automatically creates a social media post caption in an editorial plan in Airtable. It also uses background information on the target group, tonality, etc. stored in Airtable. This workflow has the following sequence: Airtable trigger (scan for new records every minute) Wait 1 Minute so the Airtable record creator has time to write the Briefing field retrieval of Airtable record data AI Agent to write a caption for a social media post. The agent is instructed to use background information stored in Airtable (such as target group, tonality, etc.) to create the post. Format the output and assign it to the correct field in Airtable. Post the caption into Airtable record. Requirements Airtable Database: Documentation AI API access (e.g. via OpenAI, Anthropic, Google or Ollama) Example of an editorial plan in Airtable: Editorial Plan example in Airtable For this workflow you need the Airtable fields "created_at", "Briefing" and "SoMe_Text_AI" Feel free to contact me via LinkedIn, if you have any questions!

An innovative N8N workflow that monitors cryptocurrency prices on Binance, identifies significant market movements, and sends customized alerts through Telegram. Ideal for traders and enthusiasts seeking real-time market insights. How It Works Trigger Options: Choose between a manual trigger or a scheduled trigger to start the workflow. Fetch Market Data: The 'Binance 24h Price Change' node retrieves the latest 24-hour price changes for cryptocurrencies from Binance. Identify Significant Changes: The 'Filter by 10% Change rate' node filters out cryptocurrencies with price changes of 10% or more. Aggregate Data: The 'Aggregate' node combines all significant changes into a single dataset. Format Data for Telegram: The 'Split By 1K chars' node formats this data into chunks suitable for Telegram's message size limit. Send Telegram Message: The 'Send Telegram Message' node broadcasts the formatted message to a specified Telegram chat. Set Up Steps Estimated Time**: About 1-5 minutes for setup. Initial Configuration**: Set up a Binance API connection (Optional) and your Telegram bot credentials. Customization**: Adjust the trigger according to your preference (manual or scheduled) and update the Telegram chat ID. Create Telegram bot steps**:- Setting up a Telegram bot and obtaining its token involves several steps. Here's a detailed guide: Start a Chat with BotFather: Open Telegram and search for "BotFather". This is the official bot that allows you to create new bots. Start a chat with BotFather by clicking on the "Start" button at the bottom of the screen. Create a New Bot: In the chat with BotFather, type /newbot and send the message. BotFather will ask you to choose a name for your bot. This is a display name and can be anything you like. Next, you'll need to choose a username for your bot. This must be unique and end in bot. For example, my_crypto_alert_bot. Receive Your Token: After you've set the name and username, BotFather will provide you with a token. This token is like a password for your bot, so keep it secure. The message will look something like this: Done! Congratulations on your new bot. You will find it at t.me/my_crypto_alert_bot. You can now add a description, about section and profile picture for your bot, see /help for a list of commands. Use this token to access the HTTP API: 123456:ABC-DEF1234ghIkl-zyx57W2v1u123ew11 The token in this case is 123456:ABC-DEF1234ghIkl-zyx57W2v1u123ew11. Test Your Bot: You can find your bot by searching for its username in Telegram. Start a chat with your bot and try sending it a message. Although it won't respond yet, this step is essential to ensure it's set up correctly. Use the Token in n8n: In your n8n workflow, when setting up the Telegram node, you'll be prompted to enter credentials. Choose to add new credentials and paste the token you received from BotFather. Get Your Chat ID: To send messages to a specific chat, you need to know the chat ID. The easiest way to find this is to first message your bot, then use a bot like @userinfobot to get your chat ID. Once you have the chat ID, you can configure it in the Telegram node in your n8n workflow. Finalize Your Workflow: With the bot token and chat ID set up in n8n, your Telegram notifications should work as intended in your workflow. Remember, keep your bot token secure and never share it publicly. If your token is compromised, you can always generate a new one by chatting with BotFather and selecting /token. Example result Keywords: n8n workflow, cryptocurrency market, Binance API, Telegram bot, price alert system, automated trading signals, market analysis `