Workflow Templates

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Intelligent Document Monitoring and Alert System This workflow creates an automated monitoring system that watches for new PDF reports across multiple sources, extracts key insights using AI, and sends formatted alerts to your team via Slack or email. By combining PDF Vector's parsing capabilities with GPT-powered analysis, teams can stay informed about critical documents without manual review, ensuring important information never gets missed. Target Audience & Problem Solved This template is designed for: Finance teams** monitoring quarterly reports and regulatory filings Compliance officers** tracking policy updates and audit reports Research departments** alerting on new publications and preprints Operations teams** monitoring supplier reports and KPI documents Executive assistants** summarizing board materials and briefings It solves the problem of information overload by automatically processing incoming documents, extracting only the most relevant insights, and delivering them in digestible formats to the right people at the right time. Prerequisites n8n instance with PDF Vector node installed PDF Vector API credentials with parsing capabilities OpenAI API key for insight extraction Slack workspace admin access (for Slack alerts) SMTP credentials (for email alerts) FTP/Cloud storage access for document sources Minimum 50 API credits for continuous monitoring Step-by-Step Setup Instructions Configure Document Sources Set up FTP credentials in n8n for folder monitoring Or configure Google Drive/Dropbox integration Define the folder paths to monitor Set file naming patterns to watch (e.g., "report.pdf") Set Up API Integrations Add PDF Vector credentials in n8n Configure OpenAI credentials with appropriate model access Set up Slack app and add webhook URL Configure SMTP settings for email alerts Configure Monitoring Schedule Open the "Check Every 15 Minutes" node Adjust frequency based on your needs: // For hourly checks: "interval": 60 // For real-time monitoring (every 5 min): "interval": 5 Customize Alert Channels Slack Setup: Create dedicated channels (#reports, #alerts) Configure webhook for each channel Set up user mentions for urgent alerts Email Setup: Define recipient lists by document type Configure email templates Set up priority levels for subject lines Define Alert Rules Modify the "Extract Key Insights" prompt for your domain Set conditions for high-priority alerts Configure which metrics trigger notifications Define sentiment thresholds Implementation Details The workflow implements a comprehensive monitoring pipeline: Source Monitoring: Polls multiple sources for new PDFs Intelligent Parsing: Uses LLM-enhanced parsing for complex documents Insight Extraction: AI analyzes content for key information Priority Classification: Determines alert urgency based on content Multi-Channel Delivery: Sends formatted alerts via configured channels Audit Trail: Logs all processed documents for compliance Customization Guide Adding Custom Document Types: Extend the routing logic for specific document types: // In "Route by Document Type" node: const documentTypes = { 'invoice': /invoice|bill|payment/i, 'contract': /contract|agreement|terms/i, 'report': /report|analysis|summary/i, 'compliance': /audit|compliance|regulatory/i }; Customizing Insight Extraction: Modify the AI prompt for domain-specific analysis: // Financial documents: "Extract: 1) Revenue figures 2) YoY growth 3) Risk factors 4) Guidance changes" // Compliance documents: "Extract: 1) Policy changes 2) Deadlines 3) Required actions 4) Penalties" // Research papers: "Extract: 1) Key findings 2) Methodology 3) Implications 4) Future work" Advanced Alert Formatting: Create rich Slack messages with interactive elements: // Add buttons for quick actions: { "type": "actions", "elements": [ { "type": "button", "text": { "type": "plain_text", "text": "View Full Report" }, "url": documentUrl }, { "type": "button", "text": { "type": "plain_text", "text": "Mark as Read" }, "action_id": "mark_read" } ] } Implementing Alert Conditions: Add sophisticated filtering based on content: // Alert only if certain conditions are met: if (insights.metrics.revenue_change < -10) { priority = 'urgent'; alertChannel = '#executive-alerts'; } if (insights.findings.includes('compliance violation')) { additionalRecipients.push('legal@company.com'); } Adding Document Comparison: Track changes between document versions: // Compare with previous version: const previousDoc = await getLastVersion(documentType); const changes = compareDocuments(previousDoc, currentDoc); if (changes.significant) { alertMessage += \n⚠️ Significant changes detected: ${changes.summary}; } Alert Features: Monitor multiple document sources (FTP, cloud storage, email) Extract key metrics and findings with AI Send rich, formatted notifications Track document processing history Conditional alerts based on content analysis Multi-channel alert routing Use Cases: Financial report monitoring Compliance document tracking Research publication alerts Customer report distribution Board material summarization Regulatory filing notifications Advanced Configuration Performance Optimization: Implement caching to avoid reprocessing Use batch processing for multiple documents Set up parallel processing for different sources Security Considerations: Encrypt sensitive document storage Implement access controls for different alert channels Audit log all document access

How It Works The workflow is an automated appointment reminder system built on n8n. Here is a step-by-step breakdown of its process: Reminder Webhook This node acts as the entry point for the workflow. It's a unique URL that waits for data to be sent to it from an external application, such as a booking or scheduling platform. When a new appointment is created in that system, it sends a JSON payload to this webhook. Extract Appointment Data This is a Code node that processes the incoming data. It's a critical step that: Extracts the customer's name, phone number, appointment time, and service from the webhook's JSON payload. Includes validation to ensure a phone number is present, throwing an error if it's missing. Formats the raw appointment time into a human-readable string for the SMS message. Send SMS Reminder This node uses your Twilio credentials to send an SMS message. It dynamically constructs the message using the data extracted in the previous step. The message is personalized with the customer's name and includes the formatted appointment details. Setup Instructions Import the Workflow Copy the JSON code from the Canvas and import it into your n8n instance. Connect Your Twilio Account Click on the "Send SMS Reminder" node. In the "Credentials" section, you will need to either select your existing Twilio account or add new credentials by providing your Account SID and Auth Token from your Twilio console. Find the Webhook URL Click on the "Reminder Webhook" node. The unique URL for this workflow will be displayed. Copy this URL. Configure Your Booking System Go to your booking or scheduling platform (e.g., Calendly, Acuity). In the settings or integrations section, find where you can add a new webhook. Paste the URL you copied from n8n here. You'll need to map the data fields from your booking system (like customer name, phone, etc.) to match the expected format shown in the comments of the "Extract Appointment Data" node. Once these steps are complete, your workflow will be ready to automatically send SMS reminders whenever a new appointment is created.

Healthcare Clinic Assistant with WhatsApp and Telegram Integration Version: 1.1.0 n8n Version: 1.88.0+ License: MIT 📋 Description A comprehensive and modular automation workflow designed for healthcare clinics. It manages patient communication, appointment scheduling, confirmations, rescheduling, internal tasks, and media processing by integrating WhatsApp, Telegram, Google Calendar, and Google Tasks, combined with AI-powered agents for maximum efficiency. This system guarantees proactive communication with patients, streamlined internal clinic management, and consistent data synchronization across platforms. 🌟 Key Features 🤖 AI-Powered Specialized Agents: Distinct agents handle WhatsApp patient support, appointment confirmations, and internal rescheduling tasks. 📱 Omnichannel Communication: Handles patient interactions via WhatsApp and staff commands via Telegram. 📅 Google Calendar Appointment Management: Full synchronization for creating, updating, canceling, and confirming appointments. 📋 Task Management with Google Tasks: Manages shopping lists and administrative tasks efficiently through staff Telegram requests. 🔔 Automated Appointment Reminders: Daily-triggered system proactively sends WhatsApp confirmations to patients for next-day appointments. 🖼️ Intelligent Media Processing: Transcribes audios, extracts text from images, and processes documents using OpenAI and OpenRouter AI models. 🛡️ Escalation to Human Support: Automatically detects sensitive or urgent cases and escalates them to a human agent when needed. 🏥 Use Cases Patient Communication:** Respond to inquiries, schedule, reschedule, and confirm appointments seamlessly via WhatsApp. Internal Clinic Operations:** Allow staff to modify appointments or add shopping list reminders directly from Telegram. Appointment Confirmation System:** Automatically contacts patients one day prior to appointments for confirmation or rescheduling. Task and Reminder Management:** Keeps clinic operations organized through automatic task management with Google Tasks. 🛠️ Technical Implementation WhatsApp Patient Interaction Flow Webhook Reception:** Incoming WhatsApp messages captured via Evolution API webhook. Message Classification:** Intelligent routing of messages based on content type (text, image, audio, document). Media Content Processing:** Audios: Download, convert, and transcribe via OpenAI Whisper. Images: Analyze and extract text/descriptions with OpenAI Vision model. Patient Request Handling:** Specialized WhatsApp assistant responds appropriately using AI prompts. Outbound Message Formatting:** Ensures messages comply with WhatsApp format standards. Message Delivery:** Sends responses back via Evolution API. Telegram Staff Management Flow Telegram Webhook Reception:** Captures messages from authorized staff accounts. Internal Assistant Processing:** Appointment Rescheduling: Identifies and updates appointments through MCP Google Calendar. Task Creation: Adds new entries to the clinic's shopping list using Google Tasks. Notifications and Confirmations:** Sends confirmations back to staff through Telegram. Appointment Reminder System Daily Trigger Activation:** Fires every weekday at 08:00 AM. Calendar Scraping:** Lists next day's appointments from Google Calendar. Patient Contact:** Sends WhatsApp confirmation messages for each appointment. Response Management:** Redirects confirmation or rescheduling replies to appropriate agents. ⚙️ Setup Instructions Import the Workflow n8n → Workflows → Import from File → Upload this JSON file. Configure Credentials Evolution API (WhatsApp Communication) Telegram Bot API (Staff Communication) Google Calendar OAuth2 (Appointment Management) Google Tasks OAuth2 (Task Management) OpenAI and OpenRouter APIs (AI Agents) PostgreSQL Database (Chat Memory) Set Sensitive Variables Replace placeholder values: {sua instância aqui} → Evolution API instance name {número_whatsapp} → WhatsApp numbers {url_do_servidor} → Server URLs {a sua apikey aqui} → API keys {seu_calendario} → Google Calendar ID Customize AI Prompts Adjust system prompts to fit your clinic’s tone, service style, and patient communication guidelines. Set clinic operating hours, escalation rules, and cancellation procedures in AI prompts. Activate and Test Simulate patient messages via WhatsApp. Test Telegram commands from staff members. Validate daily appointment reminders using the scheduled trigger. 🏷️ Tags Healthcare Clinic Management WhatsApp Integration Telegram Bot Appointment Scheduling Google Calendar Google Tasks AI Agents n8n Automation 📚 Technical Notes PostgreSQL is used for persistent chat memory across sessions. Multiple AI Models Used: OpenAI GPT-4.1-nano OpenAI GPT-4.1-mini Google Gemini 2.0 and 2.5 Full media content processing supported (audio, image, text). Compliant escalation workflows ensure patient safety and proper handoff to human staff when necessary. All sensitive patient data are securely stored inside calendar event descriptions for easy retrieval by agents. 📜 License This workflow is provided under the MIT License. Feel free to adapt and customize it for your clinic’s specific needs.

Complete MCP server exposing 1 Article Search API operations to AI agents. ⚡ Quick Setup Need help? Want access to more workflows and even live Q&A sessions with a top verified n8n creator.. All 100% free? Join the community Import this workflow into your n8n instance Credentials Add Article Search API credentials Activate the workflow to start your MCP server Copy the webhook URL from the MCP trigger node Connect AI agents using the MCP URL 🔧 How it Works This workflow converts the Article Search API into an MCP-compatible interface for AI agents. • MCP Trigger: Serves as your server endpoint for AI agent requests • HTTP Request Nodes: Handle API calls to http://api.nytimes.com/svc/search/v2 • AI Expressions: Automatically populate parameters via $fromAI() placeholders • Native Integration: Returns responses directly to the AI agent 📋 Available Operations (1 total) 🔧 Articlesearch.Json (1 endpoints) • GET /articlesearch.json: Search Articles 🤖 AI Integration Parameter Handling: AI agents automatically provide values for: • Path parameters and identifiers • Query parameters and filters • Request body data • Headers and authentication Response Format: Native Article Search API responses with full data structure Error Handling: Built-in n8n HTTP request error management 💡 Usage Examples Connect this MCP server to any AI agent or workflow: • Claude Desktop: Add MCP server URL to configuration • Cursor: Add MCP server SSE URL to configuration • Custom AI Apps: Use MCP URL as tool endpoint • API Integration: Direct HTTP calls to MCP endpoints ✨ Benefits • Zero Setup: No parameter mapping or configuration needed • AI-Ready: Built-in $fromAI() expressions for all parameters • Production Ready: Native n8n HTTP request handling and logging • Extensible: Easily modify or add custom logic > 🆓 Free for community use! Ready to deploy in under 2 minutes.

🛠️ SIGNL4 Tool MCP Server Complete MCP server exposing all SIGNL4 Tool operations to AI agents. Zero configuration needed - all 2 operations pre-built. ⚡ Quick Setup Need help? Want access to more workflows and even live Q&A sessions with a top verified n8n creator.. All 100% free? Join the community Import this workflow into your n8n instance Activate the workflow to start your MCP server Copy the webhook URL from the MCP trigger node Connect AI agents using the MCP URL 🔧 How it Works • MCP Trigger: Serves as your server endpoint for AI agent requests • Tool Nodes: Pre-configured for every SIGNL4 Tool operation • AI Expressions: Automatically populate parameters via $fromAI() placeholders • Native Integration: Uses official n8n SIGNL4 Tool tool with full error handling 📋 Available Operations (2 total) Every possible SIGNL4 Tool operation is included: 🔧 Alert (2 operations) • Send an alert • Resolve an alert 🤖 AI Integration Parameter Handling: AI agents automatically provide values for: • Resource IDs and identifiers • Search queries and filters • Content and data payloads • Configuration options Response Format: Native SIGNL4 Tool API responses with full data structure Error Handling: Built-in n8n error management and retry logic 💡 Usage Examples Connect this MCP server to any AI agent or workflow: • Claude Desktop: Add MCP server URL to configuration • Custom AI Apps: Use MCP URL as tool endpoint • Other n8n Workflows: Call MCP tools from any workflow • API Integration: Direct HTTP calls to MCP endpoints ✨ Benefits • Complete Coverage: Every SIGNL4 Tool operation available • Zero Setup: No parameter mapping or configuration needed • AI-Ready: Built-in $fromAI() expressions for all parameters • Production Ready: Native n8n error handling and logging • Extensible: Easily modify or add custom logic > 🆓 Free for community use! Ready to deploy in under 2 minutes.

Description This workflow automates document processing using LlamaParse to extract and analyze text from various file formats. It intelligently processes documents, extracts structured data, and delivers actionable insights through multiple channels. How It Works Document Ingestion & Processing 📄 Monitors Gmail for incoming attachments or accepts documents via webhook Validates file formats against supported LlamaParse extensions Uploads documents to LlamaParse for advanced text extraction Stores original documents in Google Drive for reference Intelligent Document Analysis 🧠 Automatically classifies document types (invoices, reports, etc.) Extracts structured data using customized AI prompts Generates comprehensive document summaries with key insights Converts unstructured text into organized JSON data Invoice Processing Automation 💼 Extracts critical invoice details (dates, amounts, line items) Organizes financial data into structured formats Calculates tax breakdowns, subtotals, and payment information Maintains detailed records for accounting purposes Multi-Channel Delivery 📱 Saves extracted data to Google Sheets for tracking and analysis Sends concise summaries via Telegram for immediate review Creates searchable document archives in Google Drive Updates spreadsheets with structured financial information Setup Steps Configure API Credentials 🔑 Set up LlamaParse API connection Configure Gmail OAuth for email monitoring Set up Google Drive and Sheets integrations Add Telegram bot credentials for notifications Customize AI Processing ⚙️ Adjust document classification parameters Modify extraction templates for specific document types Fine-tune summary generation prompts Customize invoice data extraction schema Test and Deploy 🚀 Test with sample documents of various formats Verify data extraction accuracy Confirm notification delivery Monitor processing pipeline performance

This workflow template, "Personal Assistant to Note Messages and Extract Namecard Information" is designed to streamline the processing of incoming messages on the LINE messaging platform. It integrates with powerful tools like Microsoft Teams , Microsoft To Do , OneDrive , and OpenRouter.ai to handle tasks such as saving notes, extracting namecard information, and organizing images. Whether you’re managing personal productivity or automating workflows for teams, this template offers a versatile and customizable solution. By leveraging this workflow, you can automate repetitive tasks, improve collaboration, and enhance efficiency in handling LINE messages. Who Is This Template For? This template is ideal for: Professionals: Who want to save important messages, extract data from namecards, or organize images automatically. Teams: Looking to integrate LINE messages into tools like Microsoft Teams and Microsoft To Do for better collaboration. Developers: Seeking to build intelligent workflows that process text, images, and other inputs from LINE. Business Owners: Who need to manage customer interactions, follow-ups, and task tracking efficiently. What Problem Does This Workflow Solve? Managing incoming messages on LINE can be time-consuming, especially when dealing with diverse input types like text, images, and namecards. This workflow solves that problem by: Automatically identifying and routing different message types (text, images, namecards) to appropriate actions. Extracting structured data from namecards and saving it for follow-up tasks. Uploading images to OneDrive and saving text messages to Microsoft Teams or Microsoft To Do for easy access. Sending real-time feedback to users via LINE to confirm that their messages have been processed. What This Workflow Does Receive Messages via LINE Webhook: The workflow is triggered whenever a user sends a message (text, image, or other types) to the LINE bot. Display Loading Animation: A loading animation is displayed to reassure the user that their request is being processed. Route Input Types: The workflow uses a Switch node to determine the type of input: Text Starting with "T": Adds the message as a task in Microsoft To Do. Plain Text: Saves the message in Microsoft Teams under a designated channel (e.g., "Notes"). Images: Identifies whether the image is a namecard, handwritten note, or other content, then processes accordingly. Unsupported formats trigger a polite response indicating the limitation. Process Namecards: *Images * If the image is identified as a namecard, the workflow extracts structured data (e.g., name, email, phone number) using OpenRouter.ai and saves it to Microsoft To Do for follow-up tasks. Save Images to OneDrive: Images are uploaded to OneDrive, renamed based on their unique message ID, and linked in Microsoft Teams for reference. Send Feedback via LINE: The workflow replies to the user with confirmation messages, such as "[ Task Created ]" or "[ Message Saved ]." Setup Guide Pre-Requisites Access to the LINE Developers Console to configure your webhook and bot. Accounts for Microsoft Teams , Microsoft To Do, and OneDrive with API access. An OpenRouter.ai account with credentials to access models like GPT-4o. Basic knowledge of APIs, webhooks, and JSON formatting. Step-by-Step Setup 1) Configure the LINE Webhook: Go to the LINE Developers Console and set up a webhook to receive incoming messages. Copy the Webhook URL from the Line Webhook node and paste it into the LINE Console. Remove any "test" configurations when moving to production. 2) Set Up Microsoft Integrations: Connect your Microsoft Teams, Microsoft To Do, and OneDrive accounts to the respective nodes in the workflow. 3) Set Up OpenRouter.ai: Create an account on OpenRouter.ai and obtain your API credentials. Connect your credentials to the OpenRouter nodes in the workflow. Test the Workflow: Simulate sending text, images, and namecards to the LINE bot to verify that all actions are processed correctly. How to Customize This Workflow to Your Needs Add More Actions: Extend the workflow to handle additional input types or integrate with other tools. Enhance Image Processing: Use advanced OCR tools to improve text extraction from complex images. Customize Feedback Messages: Modify the reply format to include emojis, links, or other formatting options. Expand Use Cases: Adapt the workflow for specific industries, such as sales or customer support, by tailoring the actions to relevant tasks. Why Use This Template? Versatile Automation: Handles multiple input types (text, images, namecards) with ease. Seamless Integration: Connects LINE messages to popular productivity tools like Microsoft Teams and To Do. Structured Data Extraction: Extracts and organizes data from namecards, saving time and effort. Real-Time Feedback: Keeps users informed about the status of their requests with instant notifications.

Who’s it for This template is perfect for OMI pendant users or anyone with AI-generated memory transcripts who want to: Automatically create daily journals in Markdown Extract actionable tasks from conversations Store memories in Google Drive Sync action items to Google Tasks Great for creators, ADHD professionals, techies, or productivity hackers who want to build a second brain workflow with no manual data entry. What it does / How it works This workflow: Accepts POST data from the OMI AI pendant (via webhook) Extracts structured summaries, tasks, events, and raw transcript data Converts the transcript into Markdown using metadata like emoji, category, and overview Uses Google Gemini or an AI Agent to generate a high-quality journal entry Splits out action items and creates tasks in Google Tasks Uploads both the transcription and the final journal file into separate Google Drive folders for archival Deletes processed files if needed (cleanup path is included) How to set up Connect your OMI device to send daily summaries to the webhook endpoint Authenticate your Google Drive and Google Tasks accounts Replace any hardcoded values (like folder IDs or task list IDs) with your own Review the system prompt in the AI Agent node if you'd like to personalize your journal style ## Requirements OMI pendant or device that generates .md summaries via API or webhook Google Drive & Google Tasks credentials set up in n8n Optional: Google Gemini or OpenAI for natural language journal generation ## How to customize Change the output folder IDs for GDrive in the Upload Transcription and Upload Journal nodes. One folder is for long term storage and the other is short term, the contents of which are deleted every night to generate the journal entries. Ensure your workflow timezone is set correctly in the settings. Replace Google Tasks with another todo app (e.g. Notion, Todoist) using HTTP or native nodes Customize the AI prompt in the AI Agent or Gemini Chat node to reflect your tone (e.g., poetic, minimalist, spiritual) Modify the Markdown format in the Build Markdown Transcription node for your preferred structure

Complete MCP server exposing all Mandrill Tool operations to AI agents. Zero configuration needed - all 2 operations pre-built. ⚡ Quick Setup Need help? Want access to more workflows and even live Q&A sessions with a top verified n8n creator.. All 100% free? Join the community Import this workflow into your n8n instance Activate the workflow to start your MCP server Copy the webhook URL from the MCP trigger node Connect AI agents using the MCP URL 🔧 How it Works • MCP Trigger: Serves as your server endpoint for AI agent requests • Tool Nodes: Pre-configured for every Mandrill Tool operation • AI Expressions: Automatically populate parameters via $fromAI() placeholders • Native Integration: Uses official n8n Mandrill Tool tool with full error handling 📋 Available Operations (2 total) Every possible Mandrill Tool operation is included: 💬 Message (2 operations) • Send a message based on a template • Send a message based on HTML 🤖 AI Integration Parameter Handling: AI agents automatically provide values for: • Resource IDs and identifiers • Search queries and filters • Content and data payloads • Configuration options Response Format: Native Mandrill Tool API responses with full data structure Error Handling: Built-in n8n error management and retry logic 💡 Usage Examples Connect this MCP server to any AI agent or workflow: • Claude Desktop: Add MCP server URL to configuration • Custom AI Apps: Use MCP URL as tool endpoint • Other n8n Workflows: Call MCP tools from any workflow • API Integration: Direct HTTP calls to MCP endpoints ✨ Benefits • Complete Coverage: Every Mandrill Tool operation available • Zero Setup: No parameter mapping or configuration needed • AI-Ready: Built-in $fromAI() expressions for all parameters • Production Ready: Native n8n error handling and logging • Extensible: Easily modify or add custom logic > 🆓 Free for community use! Ready to deploy in under 2 minutes.

Telegram Personal Assistant with Long-Term Memory & Note-Taking This n8n workflow transforms your Telegram bot into a powerful personal assistant that handles voice, photo, and text messages. The assistant uses AI to interpret messages, save important details as long-term memories or notes in a Baserow database, and recall information for future interactions. 🌟 How It Works Message Reception & Routing Telegram Integration: The workflow is triggered by incoming messages on your Telegram bot. Dynamic Routing: A switch node inspects the message to determine whether it's voice, text, or photo (with captions) and routes it for the appropriate processing. Content Processing Voice Messages: Audio files are retrieved and sent to an AI transcription node to convert spoken words into text. Text Messages: Text is directly captured and prepared for analysis. Photos: If an image is received, the bot fetches the file (and caption, if provided) and uses an AI-powered image analysis node to extract relevant details. AI-Powered Agent & Memory Management The core AI agent (powered by GPT-4o-mini) processes the incoming message along with any previous conversation history stored in PostgreSQL memory buffers. Long-Term Memory: When a message contains personal or noteworthy information, the assistant uses a dedicated tool to save this data as a long-term memory in Baserow. Note-Taking: For specific instructions or reminders, the assistant saves concise notes in a separate Baserow table. The AI agent follows defined rules to decide which details are saved as memories and which are saved as notes. Response Generation After processing the message and updating memory/notes as needed, the AI agent crafts a contextual and personalized response. The response is sent back to the user via Telegram, ensuring smooth and natural conversation flow. 🚀 Key Features Multimodal Input:** Seamlessly handles voice, photo (with captions), and text messages. Long-Term Memory & Note-Taking:** Uses a Baserow database to store personal details and notes, enhancing conversational context over time. AI-Driven Contextual Responses:** Leverages an AI agent to generate personalized, context-aware replies based on current input and past interactions. User Security & Validation:** Incorporates validation steps to verify the user's Telegram ID before processing, ensuring secure and personalized interactions. Easy Baserow Setup:** Comes with a clear setup guide and sample configurations to quickly integrate Baserow for managing memories and notes. 🔧 Setup Guide Telegram Bot Setup: Create your bot via BotFather and obtain the Bot Token. Configure the Telegram webhook in n8n with your bot's token and URL. Baserow Database Configuration: Memory Table: Create a workspace titled "Memories and Notes". Set up a table (e.g., "Memory Table") with at least two fields: Memory (long text) Date Added (US date format with time) Notes Table: Duplicate the Memory Table and rename it to "Notes Table". Change the first field's name from "Memory" to "Notes". n8n Workflow Import & Configuration: Import the workflow JSON into your n8n instance. Update credentials for Telegram, Baserow, OpenAI, and PostgreSQL (for memory buffering) as needed. Adjust node settings if you need to customize AI agent prompts or memory management rules. Testing & Deployment: Test your bot by sending various message types (text, voice, photo) to confirm that the workflow processes them correctly, updates Baserow, and returns the appropriate response. Monitor logs to ensure that memory and note entries are correctly stored and retrieved. ✨ Example Interactions Voice Message Processing:** User sends a voice note requesting a reminder. Bot Response: "Thanks for your message! I've noted your reminder and saved it for future reference." Photo with Caption:** User sends a photo with the caption "Save this recipe for dinner ideas." Bot Response: "Got it! I've saved this recipe along with the caption for you." Text Message for Memory Saving:** User: "I love hiking on weekends." Bot Response: "Noted! I’ll remember your interest in hiking." Retrieving Information:** User asks: "What notes do I have?" Bot Response: "Here are your latest notes: [list of saved notes]." 🛠️ Resources & Next Steps Telegram Bot Configuration:** Telegram BotFather Guide n8n Documentation:** n8n Docs Community Forums:** Join discussions and share your customizations! This workflow not only streamlines message processing but also empowers users with a personal AI assistant that remembers details over time. Customize the rules and responses further to fit your unique requirements and enjoy a more engaging, intelligent conversation experience on Telegram!

This automation workflow captures incoming chat messages from your Tawk.to live chat widget and sends alert emails via Gmail to notify your support team instantly. It is designed to help you respond promptly to visitors and improve your customer support experience. Prerequisites Tawk.to account:** You must have an active Tawk.to account with a configured live chat widget on your website. Gmail account:** A Gmail account with API access enabled and configured in n8n for sending emails. n8n instance:** Access to an n8n workflow automation instance where you will import and configure this workflow. Step-by-Step Setup Instructions 1. Configure Tawk.to Webhook Log in to your Tawk.to dashboard. Navigate to Administration > Webhooks. Click Add Webhook and enter the following: URL: Your n8n webhook URL from the Receive Tawk.to Request node (e.g., https://your-n8n-instance.com/webhook/a4bf95cd-a30a-4ae0-bd2a-6d96e6cca3b4) Method: POST Events: Select the chat message event (e.g., Visitor Message or Chat Message Received) Save the webhook configuration. 2. Configure Gmail Credentials in n8n In your n8n instance, go to Credentials. Add a new Gmail OAuth2 credential: Follow Google's instructions to create a project, enable Gmail API, and obtain client ID and secret. Authenticate and authorize n8n to send emails via your Gmail account. 3. Import and Activate Workflow Import the provided workflow JSON into n8n. Verify the Receive Tawk.to Request webhook node path matches the webhook URL configured in Tawk.to. Enter the email address you want the alerts sent to in the Send alert email node’s sendTo parameter. Activate the workflow. Workflow Explanation Receive Tawk.to Request: This webhook node listens for POST requests from Tawk.to containing chat message data. Format the message: Extracts relevant data from the incoming payload such as chat ID, visitor name, country, and message text, and assigns them to new fields for easy use downstream. Send alert email: Uses Gmail node to send a notification email to your support team with all relevant chat details formatted in a clear, concise text email. Customization Guidance Email Recipient:** Update the sendTo field in the Send alert email node to specify your support team’s email address. Email Content:** Modify the message template in the Send alert email node’s message parameter to suit your tone or include additional details like timestamps or chat URLs. Additional Processing:** You can extend the workflow by adding nodes for logging chats, triggering Slack notifications, or storing messages in a database. By following these instructions, your support team will receive immediate email alerts whenever a new chat message arrives on your website, improving response times and customer satisfaction.

Description This n8n automation template provides an end-to-end solution for generating a series of themed images for Instagram and TikTok carousels using OpenAI's GPT Image (via the image generation API) and automatically publishing them to both platforms. It uses a sequence of prompts to create a narrative or themed carousel, generating each image based on the previous one, and then posts them with an AI-generated caption. Who Is This For? Social Media Managers:** Quickly create and schedule engaging image carousels for Instagram and TikTok. Content Creators:** Automate the visual content creation process for thematic posts or storytelling carousels. Digital Marketers:** Efficiently produce visual assets for campaigns that require sequential imagery. Small Businesses:** Generate unique promotional content for social media without needing advanced design skills. What Problem Does This Workflow Solve? Manually creating a series of related images for a carousel and then publishing them across multiple platforms can be repetitive and time-consuming. This workflow addresses these issues by: Automating Image Generation:** Uses OpenAI to generate a sequence of 5 images, where each new image is an evolution based on the previous one and a new prompt. Automating Caption Generation:** Leverages OpenAI (GPT) to create a suitable description/caption for the carousel based on the image prompts. Streamlining Multi-Platform Publishing:** Automatically uploads the generated image carousel and caption to both Instagram and TikTok. Reducing Manual Effort:** Significantly cuts down the time spent on designing individual images and manually uploading them. Ensuring Visual Cohesion:** The sequential image generation method (editing the previous image) helps maintain a consistent style or narrative across the carousel. How It Works Trigger: The workflow is initiated manually (can be adapted to a schedule or webhook). Define Prompts: Five distinct prompts are pre-set within the workflow to guide the generation of each image in the carousel. AI Caption Generation: OpenAI (GPT-4.1) generates a concise (≤ 90 characters for TikTok) description for the social media posts based on all five image prompts. Sequential AI Image Generation: Image 1: OpenAI's image generation API (specified as gpt-image-1) creates the first image based on prompt1. Image 2-5: For each subsequent image, the workflow uses the OpenAI image edits API. It takes the previously generated image and a new prompt (prompt2 for image 2, prompt3 for image 3, and so on) to create the next image in the sequence. Images are converted from base64 JSON to binary format. Content Aggregation: The five generated binary image files (named photo1 through photo5) are merged. Multi-Platform Distribution: The merged images and the AI-generated description are sent to api.upload-post.com for publishing as a carousel to Instagram. The same content is sent to api.upload-post.com for publishing as a carousel to TikTok, with an option to automatically add music. The TikTok description is truncated if it exceeds 90 characters. Setup Accounts & API Keys: You will need: An n8n instance. An OpenAI API key. An API key for upload-post.com. Configure Credentials: Add your OpenAI API key to the "OpenAI" credentials in n8n. This will be used by the "Generate Description for Tiktok and Instagram" node and the HTTP Request nodes calling the OpenAI image generation/edit APIs. In the "POST TO INSTAGRAM" and "POST TO TIKTOK" nodes, replace "Apikey add_api_key_here" with your actual upload-post.com API key. Update the user field in the "POST TO INSTAGRAM" and "POST TO TIKTOK" nodes if "upload_post" is not your user identifier for that service. Customize Prompts: Modify the five prompts (prompt1 to prompt5) in the "Set All Prompts" node to define the story or theme of your image carousel. Review Image Generation Parameters: In the "Set API Variables" node, you can adjust: size_of_image (e.g., "1024x1536" for vertical carousels). openai_image_model (ensure this matches a valid OpenAI model identifier for image generation/edits, like dall-e-2 or dall-e-3 if gpt-image-1 is a placeholder). response_format_image (should generally remain b64_json for this workflow). (Optional) TikTok Auto Music: The "POST TO TIKTOK" node has an auto_add_music parameter set to true. Change this to false if you prefer to add music manually or not at all. Requirements Accounts:** n8n, OpenAI, upload-post.com. API Keys & Credentials:** API Keys for OpenAI and https://upload-post.com. (Potentially) Paid Plans:** OpenAI and upload-post.com usage may incur costs depending on your volume and their respective pricing models. This template empowers you to automate the creation and distribution of visually consistent image carousels, saving time and enhancing your social media presence.