OpenAI and WhatsApp Business Cloud integration

🚀 TikTok Video Automation Tool ✨ (Frequent Updates) Create viral TikTok videos effortlessly — no editing skills required! Who is this for? 🎯 ✅ Content Creators: Pump out engaging short videos in minutes. ✅ Marketing Agencies: Deliver high-quality client content — fast. ✅ Business Owners: Promote your brand with attention-grabbing TikToks. What problem does this solve? 🛠️ Short-form video content is king, but creating it takes time, skill, and effort. This tool automates the entire process, from scriptwriting to video production, ensuring SEO-optimized, high-quality content without any manual editing. How it works 🌟 1️⃣ Enter your video idea and choose where to receive the final video (TikTok upload or link via WhatsApp, Gmail, etc.). 2️⃣ AI crafts a high-engagement script with SEO optimization. 3️⃣ Voiceover is generated with ultra-realistic AI narration. 4️⃣ Relevant visuals are selected to perfectly match the script. 5️⃣ Your TikTok video is assembled and either directly uploaded to TikTok or delivered via a shareable link. Quick & Easy Setup ⚙️ (5-10 min) 🔹 Connect required APIs (most have free plans). 🔹 Follow the step-by-step setup (video tutorial included). 🔹 Start generating professional TikTok videos instantly! Required APIs 🔗 Content & Voiceover:** OpenAI (Paid), ElevenLabs (Free) Media Processing:** Cloudinary (Free), Replicate (Paid) Video Assembly:** 0codekit (Free), Creatomate (Free) Optional Integrations 🔗 Messaging & Sharing:** WhatsApp, Telegram, Gmail, Outlook Direct Upload:** TikTok Customization 🎨 Adjust script styles & voiceover preferences. Modify visuals to align with your brand. Optimize video length and format. 🚀 Start automating your TikTok content today and grow your audience on autopilot!

🤖Multi-Agent AI WhatsApp Bot for Service Businesses Transform your salon/service business with this streamlined WhatsApp automation system featuring Claude integration, zero-setup database management, and intelligent conversation handling. How it works Claude MCP Integration** - Direct connection to Claude Sonnet 4 via Model Context Protocol Streamlined 2-Agent System** - Booking Agent and Admin Agent (simplified from 5 for better reliability) GPT-5 Mini Primary** with Gemini 2.5 Flash backup for cost-effective processing Multi-Media Support** - Handles text, voice (Whisper transcription), images, and PDFs with cost extraction Smart Acknowledgments** - "One moment...", "Let me check availability..." during processing Rate Limiting & Spam Protection** - Configurable limits (default: 100 msg/hour) with professional UX Zero-Setup Database Management Autonomous Airtable Creation** - Bot creates all necessary tables automatically Complete CRUD Operations** - Create, edit, delete services and settings via WhatsApp Dynamic Business Configuration** - Modify hours, pricing, services conversationally Friend Booking Support** - "Book for my friend Sarah" functionality Set up steps WhatsApp Business API** setup (detailed instructions included) Airtable Base ID** extraction (store in Redis or hardcode - recommended) Google Calendar** integration for scheduling Redis** for caching, rate limiting, and conversation memory MCP Server** deployment for Claude integration Whatsapp** for notifications Key Features Booking Limit Control** - Default 6 appointments per customer (configurable in workflow) Service Name Matching** - GPT-5 Nano workflow for cost-optimized service recognition 24-Hour Advance Reminders** - Automatic WhatsApp reminders sent at 8 PM Conversation Memory** maintains context across interactions Error Resilience** with backup models and graceful failure handling Perfect for salons, spas, clinics, consulting services, or any appointment-based business. Complete business setup happens through conversational commands - no manual database configuration required.

Multi-Platform AI Sales Agent with RAG, CRM Logging & Appointment Booking This workflow acts as a 24/7 sales agent, engaging leads across WhatsApp, Instagram, Facebook, Telegram, and your website. It intelligently transcribes audio messages, answers questions using a knowledge base, and uses modular sub-workflows to manage your CRM in Airtable and book appointments in Google Calendar. Who Is It For? This solution is designed for service-based businesses that require a sophisticated, multi-channel lead management and appointment booking system. Agencies, consultants, and clinics** looking to automate lead qualification and booking across text and voice messages. Sales teams** needing a robust system that separates CRM and calendar logic for easier management and scalability. Advanced n8n users** who want a powerful, agent-based framework that can be easily customized and extended. Key Features & Workflow This system is composed of a parent workflow that orchestrates the conversation and calls specialized sub-workflows (agents) to perform specific tasks. Omni-Channel Engagement:* Greets and converses with leads naturally on Website Chat, WhatsApp, Instagram, Facebook, and Telegram*. Voice Message Transcription:* Automatically transcribes incoming audio/voice notes from WhatsApp and Telegram* into text, allowing the AI to understand and respond without manual intervention. RAG-Powered Intelligence:* The AI agent draws answers from your dedicated PostgreSQL Knowledge Base (RAG)*, providing accurate information about your services, pricing, and process. A built-in tool allows you to load new knowledge documents from Google Drive. Modular CRM Agent (Sub-Workflow):* When the conversation requires CRM actions (like creating a contact or updating an opportunity), the main agent calls a dedicated Airtable CRM sub-workflow* to handle the task. Modular Calendar Agent (Sub-Workflow):* To book appointments, the main agent calls a separate Google Calendar sub-workflow*, which manages event creation, updates, and deletions. What You'll Need This workflow framework requires credentials for the following services: An AI provider (OpenAI is used for the main agent, transcription, and embeddings). PostgreSQL** database with the pgvector extension (for RAG and chat memory). Airtable** account (for the CRM sub-workflow). Google Calendar** account (for the Calendar sub-workflow). Telegram Bot** credentials. A Meta Developer Account (for WhatsApp, Instagram & Facebook). (Optional) Google Drive for loading knowledge documents. (Optional) Google Gemini for embeddings. How to Set It Up This is a modular system. You must set up the sub-workflows first. Deploy Sub-Workflows: Create two new, separate workflows using the provided templates for the CRM Agent and the Calendar Agent. Configure the credentials (Airtable, Google Calendar) within those workflows, then save and activate them. Link Sub-Workflows in Main Workflow: Return to this main workflow. In the "CRM Agent" and "Consultation Agent" tool nodes, select the new workflows you just created from the dropdown list. Configure Main Credentials: Securely add the remaining credentials (OpenAI, PostgreSQL, Telegram, and your Meta App) in this main workflow. Personalize the AI Agent: In the "Update Agent Details" node, fill in your business name, the agent's persona name, and your key services to customize the AI's personality. Load Your Knowledge (Optional): To populate the RAG database, use the manual trigger path starting with "When clicking ‘Execute workflow’" to download a document from Google Drive and insert it into your PostgreSQL vector store. Activate: Configure your channel-specific details (e.g., Phone Number ID in WhatsApp nodes), save the workflow, and activate it. Demo CRM Table: View on Airtable

How it works An AI-powered sales agent on WhatsApp that handles product inquiries using your Supabase knowledge base and n8n catalog. Customers can send text, voice notes, or images to ask about products, pricing, and specs. The agent responds with detailed answers, product images, and FAQs, creating a complete self-service sales experience. (I primarily designed this for furniture business, consider tailoring it) Setup steps Connect Supabase credentials for your knowledge base and FAQs Configure n8n tables with your product catalog (prices, descriptions, image links) Set up WhatsApp Business API integration Add your product categories and common queries to the AI context Test with sample product questions and image uploads Customization tips Structure your catalog tables with clear columns (SKU, price, description, image_url) Add industry-specific terminology to the AI prompt Create templated responses for common FAQs to ensure consistency Enable voice-to-text transcription for better voice note handling Add product recommendation logic based on customer queries Set up image recognition for customers sending product photos to identify items

This workflow implements an AI-powered WhatsApp booking assistant for a hair salon. The system allows customers to book, reschedule, or cancel appointments automatically via text or voice messages on WhatsApp. The workflow supports both text and voice messages. An AI agent manages the conversation logic, determines the user's intent, and calls the appropriate tools to perform actions such as checking availability, creating appointments, rescheduling bookings, or canceling events. The system also includes guardrails to filter unsafe or irrelevant inputs and escalation mechanisms to notify the team when a request falls outside supported tasks. Key Advantages ✅ 24/7 Automated Appointment Booking Customers can book, reschedule, or cancel appointments at any time through WhatsApp without requiring manual staff intervention. ✅ Multi-Modal Communication (Text + Voice) The workflow supports both text messages and voice messages. Audio messages are automatically transcribed and processed by the AI assistant. ✅ Intelligent AI Assistant An AI agent manages the conversation, understands user intent, and automatically performs actions such as checking calendar availability or creating appointments. ✅ Real-Time Calendar Integration The assistant connects directly to Google Calendar to: check available time slots create new bookings update existing appointments cancel reservations This ensures real-time accuracy. ✅ Automatic Client Management Customer information such as phone number, name, and service type is stored and updated in Google Sheets, creating a lightweight CRM database. ✅ Conversation Memory The system stores chat history in PostgreSQL, allowing the AI assistant to maintain context during conversations and deliver a more natural experience. ✅ Smart Error Handling and Escalation If the AI cannot handle a request (for example, a question unrelated to appointments), the workflow automatically: notifies the team via email escalates the conversation for human assistance. ✅ Secure and Controlled AI Responses Guardrails are implemented to prevent irrelevant or unsafe responses, ensuring that the assistant follows defined policies and tasks. ✅ Omnichannel Architecture The workflow is designed to work with: WhatsApp messages chatbot interface (chat trigger) This allows the same logic to power multiple communication channels. ✅ Scalable Automation The system is fully automated and can handle multiple simultaneous conversations, reducing operational workload and improving customer service efficiency. How it works Input Handling (WhatsApp & Chat): It listens for incoming messages from either a WhatsApp Trigger or a Chat Trigger. WhatsApp: It processes both text messages and voice notes. If a voice note is received, it automatically downloads the audio, transcribes it using OpenAI (Whisper), and converts it into text for the AI to process. The user's phone number (for WhatsApp) or session ID (for Chat) is stored as a sessionId to maintain conversation context. Guardrails (Security & Policy): Before the message reaches the main AI agent, it passes through a Guardrails node (using Google Gemini). This acts as a safety filter to check for jailbreak attempts or inappropriate content, ensuring the conversation stays within company policies. AI Agent (The Virtual Assistant): The cleaned-up message is sent to the AI Agent ("Virtual Assistant"). The agent is prompted to act as "Emma" and follows strict instructions: Identify User: It first uses the New client tool to check a Google Sheet to see if the user is already registered. Manage Appointments: Based on the user's request (book, reschedule, cancel), it intelligently calls specific tools in the correct order. Date Logic: It is aware of the current date and time to calculate correct future dates (e.g., interpreting "this Thursday"). Tool Execution (Actions): The agent has access to several tools to perform actions: Google Sheets (New client, Add client): To check if a client exists and add new clients to a spreadsheet. Google Calendar (Get events, Create event, Update event, Delete event): To check availability and manage appointments. The Get events tool is configured to look for slots in the next 30 days. Gmail (Send Email): To notify the team if a user asks for something outside the scope (e.g., pricing, product questions). WhatsApp HITL / Chat HITL (Escalation): To hand over the conversation to a human agent for complex requests. Response Delivery: The AI agent's text response is routed back to the user. On WhatsApp: It intelligently handles the response format. If the original message was text, it sends a text reply. If the original message was a voice note, it uses OpenAI's TTS to convert the text reply into an audio message and sends that back. Setup steps To get this workflow running, you need to configure the following credentials and nodes: Configure Credentials: Google Calendar OAuth2: Connect your Google account (used in Calendar nodes). Google Sheets OAuth2: Connect your Google account to access the spreadsheet. Gmail OAuth2: Connect your Google account to send notification emails from [email protected]. WhatsApp API: Connect your WhatsApp Business API credentials (Phone Number ID). OpenAI API (OpenRouter): Provide your API key for audio transcription and text-to-speech. Google Gemini API: Provide your API keys for the main AI model (Google Gemini Chat Model) and the Guardrails model (Google Gemini Chat Model1). Postgres: Configure the connection to your Postgres database for chat memory. Configure Google Sheets: Create a Google Sheet. Update the Document ID in the New client and Add client nodes with your sheet's ID. Ensure the sheet has columns for Phone Number, Client, and Service. Configure Google Calendar: Verify that the calendar ID in the Calendar nodes is correct and accessible. Configure WhatsApp Triggers & Actions: The WhatsApp Trigger node needs to be connected to your WhatsApp Business App. The Send message and Send audio nodes must have the correct Phone Number ID for your WhatsApp Business number. Update Email Recipient: In the Send Email tool (for escalations), change the sendTo email address from [email protected] to the actual email of the team that should receive these notifications. Review AI Prompts: Open the "Virtual Assistant" (AI Agent) node and review the system message. Update the salon name ("Cuts & Styles"), stylist name ("Alex Carter"), and address to match your business. Check the "Guardrails" node to adjust the safety threshold if necessary. 👉 Subscribe to my new YouTube channel. Here I’ll share videos and Shorts with practical tutorials and FREE templates for n8n. Need help customizing? Contact me for consulting and support or add me on Linkedin.

How it works This AI agent manages your Streak CRM via WhatsApp. Send messages to create contacts, add boxes to pipelines, update stages, link contacts to boxes, and retrieve information, add and get tasks all through natural conversation. Setup steps Connect your Streak API credentials (Basic Auth) Configure WhatsApp Business integration Add your Streak pipeline keys to the workflow Test with a simple command like "create contact John Doe" Customization tips Add custom Streak fields to the AI's tool descriptions Modify pipeline stages to match your workflow Adjust AI prompts to recognize your team's terminology Enable additional Streak operations (comments, tasks, files) The agent worked perfectly when you give it access to streak API documentation, to attain even more complex tasks

This automated n8n workflow transforms raw CSV data into qualified, enriched lead databases with verified emails and AI-generated personalization. It processes uploaded CSV files through multiple validation, enrichment, and sorting stages before delivering organized results via Google Drive, WhatsApp, or Google Sheets. How It Works Stage 1: Data Intake & Normalization Form Submission: User uploads a CSV/XLSX file and selects: Delivery method (Google Drive, WhatsApp, or Google Sheets with processing) Two personalization prompts for AI-generated messages Column Mapping: The workflow automatically recognizes and standardizes 100+ column name variations into consistent fields Deduplication: Removes duplicate entries by website URL and contact name Initial Filtering: Identifies and flags invalid websites (social media profiles, link shorteners) Stage 2: Data Quality Routing The workflow analyzes each record and routes it based on available data: Route A: Invalid Website → Sends directly to "x Website" sheet Route B: No Website → Verifies existing email and categorizes by validity Route C: Valid Website + Email → Proceeds to email verification and enrichment Route D: Valid Website - Email → Scrapes website to find email addresses. Stage 3: Email Discovery & Verification For records needing enrichment: Website Scraping: Fetches HTML content from company websites Email Extraction: Uses regex patterns to identify email addresses AI Selection: GPT-5-NANO chooses the most relevant email from multiple options Dual Verification: Primary check via Reoon API (deliverability, SMTP, safety) Backup verification if primary fails Personal Email Processing: Separately validates personal emails when present Stage 4: Website Intelligence Gathering Parallel to email processing: Extracts HTML title tags for company context Captures meta descriptions for business understanding Pulls H1 headings for content insight Handles scraping failures gracefully with empty placeholders Stage 5: Email Categorization Logic Records are sorted into buckets: +1 Email**: Has exactly one verified email (business OR personal OR newly found) +2 Email**: Has two or more verified emails Single Source Records**: Only business email OR only personal email Stage 6: AI Personalization For records with verified emails: Context Assembly: Combines name, company, job title, website metadata, industry, keywords AI Processing: Sends to GPT-5-NANO or Gemini with user's custom prompts Structured Output: Generates: Cleaned contact name Shortened company name Personalization message 1 (per user prompt) Personalization message 2 (per user prompt) Stage 7: Final Delivery Based on user's initial selection: Google Drive**: Uploads timestamped CSV, sends email with link WhatsApp**: Converts to XLSX and sends document Google Sheets**: Populates separate sheets by category with completion email How To Use Active n8n instance with required credentials: Google Drive API access Google Sheets API access Gmail API access (for notifications) WhatsApp Business API credentials Reoon Email Verifier API keys OpenAI API key (GPT-5-NANO) Optional: Google Gemini API key Setup Steps Configure Google Sheets Destinations Create or use existing Google Sheets for data categorization: +1 Email Sheet**: Update document ID in "+1 Email" node +2 Email Sheet**: Update document ID in "+2 Email" node x Website Sheet**: Update document ID in "x Website Data" node No Website Sheet**: Update document ID in "- Website +- Email +- Phone Number" node Ensure all sheets have matching column headers as defined in the workflow. Set Up Google Drive Folder Create a destination folder in Google Drive Update the folder ID in the "Upload file" node Ensure the service account has write permissions Configure WhatsApp Add your WhatsApp Business Phone Number ID in the "Send CSV" node Update the recipient phone number (format: +country code) Customize Email Notifications Update sender and recipient emails in "Send a message" and "Send a Success Message" nodes Modify email templates as needed Verify API Keys Check that all API credentials are active: Reoon Email Verifier keys (two instances for redundancy) OpenAI API key for GPT-5-NANO All Google API credentials

Who is this for? This workflow is for healthcare professionals, consultants, coaches, and service businesses who want to completely automate their appointment booking system via WhatsApp — without manual intervention for reservations, availability checks, or cancellation management. What problem is this workflow solving? / Use case Managing appointments manually via WhatsApp is extremely time-consuming: checking availability, confirmations, rescheduling, cancellations. This workflow automates the entire process — from initial request to final confirmation — allowing your clients to book, modify, or cancel appointments 24/7, in natural language, directly via WhatsApp. What this workflow does Processes multi-modal messages (text, audio, images) from WhatsApp Business API Detects message type and routes to appropriate processing (Whisper for audio, GPT-4 Vision for images) Uses AI Agent with 5 Cal.com tools to manage complete appointment lifecycle Checks real-time availability in your Cal.com calendar Books appointments autonomously without human intervention Handles cancellations and rescheduling requests Maintains conversation context with Simple Memory for natural exchanges Formats responses with Unicode bold for better WhatsApp readability Sends automated replies directly to the client The result: a fully automated 24/7 appointment management system via WhatsApp. Setup WhatsApp Business API Connect your WhatsApp Business API account in n8n. Set up the webhook in Facebook Developer Console (Webhook → Messages → Subscribe). Add your phone_number_id and access token credentials. Cal.com Create a Cal.com account and configure your calendar. Generate an API Key from Cal.com settings. Set up your event types (duration, availability, pricing). Add your Cal.com API credentials in n8n. OpenAI Get an OpenAI API key (for GPT-4, Whisper, and Vision). Add your OpenAI credentials in n8n. The workflow uses GPT-4 for conversation, Whisper for audio transcription, and GPT-4 Vision for image analysis. Customize the AI Agent Edit the System Message to define your agent's personality, tone, and business context. Adjust timezone in tool parameters (default: Europe/Paris). Configure event type IDs for different appointment types. Test & activate Test with different message types (text, audio, image) from WhatsApp. Verify appointments are created correctly in Cal.com. Switch to production mode and activate the workflow. This workflow helps you build a fully autonomous AI booking assistant, transforming WhatsApp into a 24/7 appointment management system. Need help customizing? Contact me for consulting and support: LinkedIn / Youtube

WhatsApp RAG Agent (Text + Voice) with Weekly Google Drive Sync One-line summary : Answers WhatsApp in under 100 words, understands voice notes, and retrieves trusted answers from your Google Drive docs (RAG) kept fresh weekly. What this template does Reply to WhatsApp messages* in a polite, human tone with ≤100 words*. Understands text and voice notes**: auto-downloads audio and transcribes to text. Retrieves answers from your knowledge base (RAG)**: Google Drive docs → chunk → embed → store in Supabase → rerank with Cohere. Keeps short-term memory** across the conversation to avoid repetition. Weekly doc sync** from a selected Google Drive folder so non-technical staff can update content without touching n8n. Why it matters Zero busywork:** Update a Google Doc; the bot learns it on the next sync. Trustworthy answers:* Responses come from your* vetted docs, not random web text. Voice-first friendly:** Handles the WhatsApp reality of “send a voice note.” Safer by design:** Guardrails—no pricing unless in KB, no pushy sales, no medical advice. Triggers WhatsApp Trigger:** Receives incoming messages (text or audio). Google Drive Trigger (weekly):** Detects new/updated files in the chosen folder for ingestion. App credentials required WhatsApp Business Cloud** (App ID, Token, Phone Number ID) OpenAI** (Chat + Embeddings) Cohere** (Rerank) Supabase** (SUPABASE_URL, ANON_KEY) Google Drive** (OAuth2) + target Folder ID Suggested environment variables WHATSAPP_APP_ID= WHATSAPP_TOKEN= WHATSAPP_PHONE_NUMBER_ID= OPENAI_API_KEY= COHERE_API_KEY= SUPABASE_URL= SUPABASE_ANON_KEY= GDRIVE_FOLDER_ID= RAG_TABLE_NAME="documents" # table to store vectors/metadata MAX_ANSWER_WORDS=100 # guardrail for concise replies Architecture overview Answer-time lane (RAG Tool):** Receive WhatsApp message → 2) Transcribe audio if present → 3) Maintain short-term memory → 4) Retrieve from Supabase vectors (topK) → 5) Rerank with Cohere → 6) Compose ≤100-word reply with sources → 7) Send on WhatsApp. Ingest lane (Weekly Sync):** A) Detect Drive file updates → B) Download & convert (Docs → text/plain) → C) Chunk (size/overlap) → D) Embed with OpenAI → E) Upsert to Supabase with metadata & hashes. How it works (node rundown) | # | Node | Key Inputs | Key Outputs | | -- | ------------------------------------------- | ------------------------------- | --------------------------------- | | 1 | WhatsApp Trigger | Incoming message | Raw WhatsApp payload | | 2 | Switch (Attachment presence/type) | Payload | Route: Text or Audio | | 3 | HTTP Request (Audio path) | attachments[0].data_url | Audio file | | 4 | OpenAI – Translate/ASR | Audio file | Transcribed text | | 5 | Merge | Text path + Audio path | Unified text message | | 6 | Simple Memory | Recent turns | Short-term context | | 7 | OpenAI Chat Model | Prompt + message + memory | Draft answer (tool calls allowed) | | 8 | Supabase Vector Tool (retrieve-as-tool) | Query text, topK=10 | Candidate KB passages | | 9 | Cohere Reranker | Candidates | Re-ranked context | | 10 | Send WhatsApp Message | to, body | Reply sent | | 11 | Google Drive Trigger (weekly) | Folder ID, fileUpdated | Changed files | | 12 | Set (File Id) | id from trigger | File ref | | 13 | Google Drive – Download File | Id (Docs→txt) | Raw text | | 14 | Character Text Splitter | chunkSize=2000, overlap=300 | Chunks | | 15 | Default Data Loader | Binary→Document | Clean docs | | 16 | OpenAI Embeddings (ingest) | Chunks | Vectors | | 17 | Supabase Vector Store (insert) | Table: documents | Upserted KB | Notes The KB Tool is the combo of steps 8–9–7 at answer time (retrieve → rerank → answer). The Ingest lane is steps 11–17 (weekly sync of your Drive folder). Setup (7‑minute sprint) Import the workflow JSON. Connect credentials: WhatsApp, OpenAI, Cohere, Supabase, Google Drive. Google Drive Trigger: paste your Folder ID; keep fileUpdated event. Download File: ensure Google Docs convert to text/plain. Supabase Vector Store (insert): set table name to documents (or your schema). Character Text Splitter: keep chunkSize=2000, overlap=300 (balanced recall/latency). Retrieve-as-tool: set topK=10 and enable reranker. Send WhatsApp Message mapping: Recipient: {{$("WhatsApp Trigger").item.json.messages[0].from}} Body: {{$json.output}} Test: Send a text and a voice note to your WhatsApp number → confirm concise answers. Drop a Google Doc into the watched folder → verify it’s chunked/embedded on the next weekly poll (or run ingest nodes once manually). Prompt, tone & guardrails System prompt:** Be polite, human, and concise (≤ MAX_ANSWER_WORDS). Cite or reference only the KB content; if unknown, say so and offer to escalate. No prices unless present in the KB. No medical advice. Temperature:* start at 0.2* for factual replies. Memory window:** keep a short rolling buffer (e.g., last 4–6 turns). Data model (minimum viable) Table documents (example columns): id (uuid) source_url (text) title (text) chunk (text) embedding (vector/float[] depending on extension) chunk_hash (text) updated_at (timestamp) Indexes Unique index on chunk_hash to dedupe Index on updated_at for syncs Observability & ops Log question, selected chunk ids/hashes, and final response to a DB/Sheet for QA. Add a low-confidence route (score threshold) → Slack/Telegram escalation to a human. Track latency and token usage to tune topK and chunk sizes. Customization Latency vs quality:** try topK=6–8 and chunkSize=1200 for speed. Languages:** ASR node can be swapped for native multilingual output. Escalation:** add channel handoff on low confidence or no KB hits. Sync cadence:* change Drive Trigger to daily* if content updates frequently. Safety & compliance No medical advice.** If uncertain or clinical, ask to schedule a consult or refer to the right department. PII:** Don’t log full phone numbers in plaintext analytics; hash where possible. Prices & rates:** Only answer if present in the KB; otherwise hand off to front desk. Troubleshooting No reply sent:* Ensure Send message* node reads {{$json.output}} (Agent’s response property). Audio path failing:** Confirm attachments[0].data_url exists and HTTP node fetches a valid file. KB not updating:** Manually execute the ingest lane; check rows in Supabase. Irrelevant answers:* Lower temperature to 0.2, increase overlap to *400, and verify Drive docs are clean and structured. Categories & tags Categories:** AI, Customer Support, Healthcare Ops, RAG, WhatsApp Tags:** WhatsApp, RAG, Google Drive, Supabase, OpenAI, Cohere, Voice Notes Pricing (rough, BYO keys) n8n:** self-host free; n8n.cloud billed by plan. OpenAI, Cohere:** usage-based by tokens/calls. Supabase:** free tier + usage; vector storage billed by size. WhatsApp Cloud:** Meta pricing per conversation. Nodes used in workflow WhatsApp Trigger, Switch, HTTP Request, OpenAI (ASR + Chat + Embeddings), Merge, Simple Memory, Supabase Vector Tool (retrieve), Cohere Reranker, Google Drive Trigger, Set, Google Drive – Download, Character Text Splitter, Default Data Loader.

🧾An intelligent automation system that turns WhatsApp into your personal receipt manager — integrating Meta WhatsApp Cloud API, Google Drive, Google Sheets, and OpenAI GPT-4o-mini via n8n. 🎥 Demo: Watch the Loom walkthrough ⚙️ What It Does The AI-Powered WhatsApp Receipt Bot automates the complete invoice handling process through a conversational interface. Workflow Summary: User sends a receipt image via WhatsApp. The bot automatically downloads the media using the WhatsApp Cloud API. The image is uploaded to a Google Drive “Invoices” folder. The file is shared publicly, generating a shareable URL. The receipt is analyzed using OpenAI GPT-4o-mini to extract structured data: Store name Items purchased Payment method Total amount The extracted details are appended to a Google Sheet for record-keeping. The bot sends a human-readable summary back to WhatsApp with emojis and the invoice link. Output Example: 🏬 Store: Big Bazaar 📝 Items: Rice, Detergent, Snacks 💳 Payment: Card 💰 Total: ₹1520.75 🔗 Link: https://drive.google.com/file/d/1abcXYZ/view This system eliminates manual expense tracking, improves accuracy through OCR, and provides a seamless way to manage receipts in real time. 💡 Use Cases | Scenario | Description | | ------------------------------------- | --------------------------------------------------------------------------------------------------------------------- | | Personal Expense Management | Automatically store and categorize receipts from daily purchases. | | Business Accounting | Collect employee expense receipts through WhatsApp and centralize them in Google Sheets. | | Freelancer or Consultant Tracking | Keep a digital record of client reimbursements or software purchase receipts. | | Family Budgeting | Family members send receipts to one shared WhatsApp number, all data gets logged centrally. | | E-commerce / Delivery Teams | Drivers or delivery agents send invoices from the field to WhatsApp; data automatically goes to the accounting sheet. | 🔧 Setup Accounts and Tools Needed | Tool | Purpose | Link | | -------------------------- | ------------------------------------------- | -------------------------------------------------------------------------------------------- | | Meta Developer Account | To access WhatsApp Business Cloud API | https://developers.facebook.com/apps | | Google Cloud Account | For enabling Drive and Sheets APIs | https://console.cloud.google.com | | n8n Instance | Workflow automation engine (local or cloud) | https://app.n8n.cloud | | OpenAI API Key | For GPT-4o-mini model OCR + reasoning | https://platform.openai.com/account/api-keys | Meta Developer Setup (WhatsApp Cloud API) Go to Meta Developer Dashboard → My Apps → Create App → Business type. Add WhatsApp product under your app. Retrieve the following from WhatsApp > Configuration: Permanent Access Token Phone Number ID WhatsApp Business Account ID Add these credentials in n8n → Credentials → WhatsApp API. Use the same credentials for WhatsApp Trigger and Send Message nodes. Verify webhook in Meta with your n8n webhook URL. Important: In your HTTP Node, set the header as: Authorization: Bearer <access_token> Replace <access_token> with your WhatsApp Cloud API permanent token. Without this, the workflow will fail to send or receive WhatsApp messages properly. Google Drive Setup Create a folder named Invoices on your Google Drive. Copy the Folder ID (found in the Drive URL). In Google Cloud Console → APIs & Services → Enable APIs: Enable Google Drive API Enable Google Sheets API Go to Credentials → Create Credentials → OAuth 2.0 Client ID. Download the credentials.json file. Upload this to n8n → Credentials → Google Drive OAuth2 API. Authorize the connection on first workflow run. Google Sheets Setup Create a new Google Sheet titled Invoices. Add the following headers in Row 1: store name | discription | image_url | payment | total Copy the Sheet ID (from the URL). Add the ID under the Google Sheets Append node in n8n. Map each field to its corresponding value extracted from the OCR result. OpenAI Setup Generate an API key from https://platform.openai.com/account/api-keys. Add it to n8n → Credentials → OpenAI API. Use model gpt-4o-mini in the “Analyze Image” node. Can upgrade to gpt-4o for better OCR accuracy if account supports it. n8n Workflow Setup Import the provided n8n workflow JSON. Configure credentials for: WhatsApp API Google Drive OAuth2 Google Sheets OAuth2 OpenAI API Activate workflow and set webhook in Meta Developer console. Send a test receipt image to your WhatsApp Business number. The bot will automatically: Download → Upload → Extract → Log → Summarize → Reply 📊 Example Google Sheet Record | store name | discription | image_url | payment | total | | ---------- | ----------------------- | -------------------------------------------------------------------------------------------- | ------- | ------- | | Big Bazaar | Rice, Detergent, Snacks | https://drive.google.com/file/d/1abcXYZ/view | Card | 1520.75 | 🧠 Result A fully automated AI pipeline that transforms WhatsApp into a smart expense-tracking interface — integrating vision, automation, and natural language processing for zero-manual financial documentation. Support & Contact: If you face any issues during setup or execution, contact: 📧 Email: [email protected] 🔗 LinkedIn: Atharva Jaiswal

Overview Transform your customer support operations with an intelligent WhatsApp automation system that handles text, voice, and image messages across multiple languages. This comprehensive solution uses advanced AI to provide instant, accurate responses by accessing your company's knowledge base, while maintaining conversation context and supporting both English and Roman Urdu communications. Perfect for businesses serving diverse markets who need 24/7 customer support without the overhead costs. Key Benefits 🤖 Multi-Modal AI Processing Handle text messages, voice notes, and images seamlessly. The system automatically transcribes audio, analyzes images, and processes all content types through a single intelligent pipeline. 🌍 True Multilingual Support Native support for English and Roman Urdu with intelligent language detection and matching responses. The AI automatically detects the customer's language and responds accordingly, making it perfect for South Asian markets. 📚 Dynamic Knowledge Base Integration Real-time access to your Google Docs knowledge base ensures customers always receive current, accurate information about your products and services. No more outdated responses or manual updates needed. 💭 Conversation Memory & Context Advanced memory system maintains conversation history for natural, contextual interactions. Customers can have flowing conversations without repeating information, improving satisfaction rates. ⚡ Instant Response Times Automated responses within seconds of receiving messages, dramatically improving customer satisfaction and reducing response time from hours to seconds. 🔄 Zero Manual Intervention Fully automated system that works 24/7 without human oversight. Handles inquiries, provides information, and maintains professional communication standards automatically. 📊 Scalable Architecture Built on enterprise-grade n8n platform with robust error handling and retry mechanisms. Can handle thousands of concurrent conversations without performance degradation. 💰 Cost-Effective Operations Replace expensive customer support teams with intelligent automation. Reduce operational costs by up to 80% while improving response quality and availability. How It Works Phase 1: Message Reception & Classification The system begins with a WhatsApp webhook trigger that captures all incoming messages in real-time. An intelligent switch node immediately analyzes each message to determine its content type - whether it's a text message, voice note, or image with optional caption. This classification is crucial as each media type requires different processing approaches to extract meaningful information. Phase 2: Advanced Media Processing For voice messages, the system retrieves the audio file URL, downloads the content using authenticated requests, and processes it through OpenAI's Whisper transcription service to convert speech to text. Image messages follow a similar pattern - the system downloads the image and uses GPT-4 Vision to analyze and describe the visual content in detail. Text messages are processed directly, while all media types are ultimately converted to standardized text format for consistent AI processing. Phase 3: Intelligent Response Generation The processed content is fed into a sophisticated AI agent powered by Claude Sonnet 4 via OpenRouter. This agent operates with a comprehensive system prompt that defines its role as a professional customer support representative with specific instructions for tone, language handling, and response protocols. The agent has access to a Google Docs tool that allows it to retrieve real-time information from your company's knowledge base. Phase 4: Contextual Memory Management A memory buffer system maintains conversation history for each unique phone number, allowing for natural, flowing conversations where the AI remembers previous interactions and can reference earlier parts of the conversation. This creates a more human-like experience and reduces customer frustration from having to repeat information. Phase 5: Response Delivery Generated responses are automatically sent back to the customer's WhatsApp number using the WhatsApp Business API, completing the conversation loop. The system maintains proper formatting and ensures message delivery confirmation. Required Setup & Database Requirements API Credentials Needed: WhatsApp Business API**: For receiving and sending messages OpenAI API**: For audio transcription and image analysis OpenRouter API**: For Claude Sonnet 4 language model access Google Docs API**: For knowledge base integration n8n Cloud/Self-hosted instance**: For workflow execution Knowledge Base Setup: Google Docs Document**: Structured company information document Document Permissions**: Shared with the Google service account Content Organization**: FAQ format with clear sections for products, services, pricing, and contact information WhatsApp Configuration: Business Phone Number**: Verified WhatsApp Business account Webhook URL**: Configured to point to n8n webhook endpoint Message Templates**: Pre-approved for business communications Business Use Cases E-commerce Support: Handle product inquiries, order status checks, and return policies across multiple languages, perfect for businesses serving diverse customer bases. Service Business Automation: Appointment scheduling, service explanations, and pricing inquiries for consultancies, agencies, and professional services. Restaurant & Food Industry: Menu inquiries, order modifications, and delivery status updates with support for local language preferences. Real Estate: Property inquiries, showing appointments, and market information with ability to process property images sent by clients. Healthcare & Wellness: Appointment booking, service explanations, and general inquiries while maintaining professional communication standards. Education & Training: Course information, enrollment processes, and student support with multilingual capabilities for international programs. Revenue Potential Direct Cost Savings: $3,000-8,000/month in customer support staff salaries Increased Conversion: 25-40% improvement in lead response rates due to instant replies Extended Availability: 24/7 operation captures international and after-hours inquiries worth $2,000-5,000/month additional revenue Scalability: Handle 10x more inquiries without proportional cost increases Customer Satisfaction: Improved response times lead to 15-30% increase in customer retention ROI Timeline: Typical payback period of 2-3 months with ongoing monthly savings of $4,000-12,000 depending on business size. Difficulty Level & Build Time Complexity: Intermediate to Advanced (7/10) Estimated Build Time: 4-6 hours for experienced n8n users Setup Time: 2-3 hours for API configurations and testing Maintenance: Minimal - primarily updating knowledge base content Skills Required: n8n workflow building experience API credential management WhatsApp Business API familiarity Basic understanding of AI language models Detailed Setup Steps API Account Setup (60 minutes) Create and configure accounts for WhatsApp Business, OpenAI, OpenRouter, and Google Cloud Platform. Obtain all necessary API keys and configure proper permissions for each service. n8n Credential Configuration (30 minutes) Add all API credentials to your n8n instance using the credential manager. Test each connection to ensure proper authentication and access permissions. WhatsApp Business Integration (45 minutes) Configure your WhatsApp Business account with webhook URLs pointing to your n8n instance. Set up phone number verification and message template approvals. Knowledge Base Creation (90 minutes) Structure your Google Docs knowledge base with comprehensive information about your business. Include FAQs, product details, pricing, and contact information in an organized format. Workflow Import & Testing (60 minutes) Import the n8n workflow, configure all node parameters with your specific credentials and settings, then conduct thorough testing with different message types and languages. Production Deployment (30 minutes) Deploy the workflow to production, monitor initial performance, and fine-tune system prompts based on real customer interactions. Advanced Customization Options Custom Language Support: Extend beyond English and Roman Urdu by modifying the system prompt and adding language detection for additional languages like Arabic, Hindi, or French. Integration Expansions: Connect additional data sources like CRM systems, databases, or e-commerce platforms to provide more comprehensive customer information. Advanced Analytics: Add logging nodes to track conversation metrics, response times, and customer satisfaction scores for continuous improvement. Multi-Channel Support: Extend the system to handle Telegram, Facebook Messenger, or other messaging platforms using similar processing logic. Escalation Protocols: Implement human handoff triggers for complex queries that require personal attention, with automatic notification systems for support teams. Custom AI Models: Swap Claude Sonnet 4 for other models like GPT-4, Gemini, or open-source alternatives based on your specific needs and budget requirements. This automation system represents the future of customer support - intelligent, scalable, and incredibly cost-effective while maintaining the personal touch that customers expect from quality businesses.

📺 Full walkthrough video: https://youtu.be/-kpt0BwjKls Who it's for This workflow is for professionals and power users who want a personal AI assistant accessible directly via WhatsApp, capable of managing their emails, calendar, files, and online searches through natural conversation — including voice messages. How it works A WhatsApp Trigger receives incoming messages and routes them by input type: text, audio, image, or PDF document. Audio messages are downloaded and transcribed via OpenAI Whisper. Images are downloaded and analyzed by GPT-4o mini. PDF files are validated, downloaded, and text-extracted. All input types are normalized into a unified text field before being passed to the AI agent. A personal assistant agent powered by Claude Sonnet processes the request using a full tool suite: Gmail (send/search), Google Calendar (create/read events), Google Drive (search), Airtable (contact email database), SerpAPI (web search), Discord (direct messages), and a calculator. If the original input was a voice message, the agent's response is converted to audio via OpenAI TTS and sent back as a WhatsApp audio message. Otherwise, a text reply is sent. How to set up [ ] Connect your WhatsApp Business API credentials to the trigger and all send nodes [ ] Add OpenAI API credentials to the transcription, image analysis, and TTS nodes [ ] Add Anthropic API credentials to the Claude Sonnet model node [ ] Connect Gmail OAuth2 credentials to the send and search email tool nodes [ ] Connect Google Calendar OAuth2 credentials to the create and get events tool nodes [ ] Connect Google Drive OAuth2 credentials to the search tool node [ ] Connect Airtable credentials and configure the base/table IDs for the email database [ ] Add SerpAPI credentials to the web search tool node [ ] Add Discord bot credentials and configure the target user ID for direct messages [ ] Set the correct phone number ID and recipient number in all WhatsApp send nodes Requirements WhatsApp Business API account OpenAI API account Anthropic API account Google account (Gmail, Calendar, Drive) with OAuth2 Airtable account with a contacts/email base SerpAPI account Discord bot with direct message permissions How to customize Add or remove tools from the Personal Assistant Agent node to expand or restrict capabilities (e.g. add a Notion or Slack tool). Adjust the memory window size in the Conversation Memory Buffer node to control how much conversation history the agent retains. Edit the agent's system prompt to change its persona, language, or restrict it to a specific scope (e.g. a customer support assistant).

WhatsApp customer service bot (with voice note transcription) handling FAQ, service enquiries and schedule appointments Who’s it for This template is designed for businesses that provide customer support and appointment-based services over WhatsApp. It’s ideal for service providers (e.g., clinics, salons, repair shops, consultants) that want to automate FAQs, share service information, handle voice note inquiries, and schedule appointments without manual effort. How it works / What it does This workflow creates a WhatsApp customer service assistant that: Transcribes voice notes** sent by customers into text for further processing. Answers customer FAQs by looking up a Google Sheet knowledge base. Provides service information (name, description, price) from a Google Sheet. Schedules appointments by: Asking the customer which service they want. Collecting their preferred day and time. Checking Google Calendar for available slots. Offering 3 options and letting the customer choose. Collecting name, email, and phone number. Creating the confirmed appointment in Google Calendar. Sends all customer-facing messages via a WhatsApp integration node. How to set up Connect your tools Link your Google Sheets for FAQs and Services. Connect your Google Calendar account. Configure your WhatsApp integration. Connect a transcription service (e.g., Whisper, Google Speech-to-Text, or another transcription API). Prepare your data FAQs Google Sheet → must contain columns: id | question | answer Services Google Sheet → must contain columns: id | service_name | service_description | price Adjust the flow Update the service names and questions to match your business. Set the correct time zone in the Google Calendar node. Update the WhatsApp integration node with your business account. Configure the transcription node with your chosen API credentials. Requirements Google Sheets (for FAQs and Services) Google Calendar WhatsApp integration in n8n Speech-to-Text API (for transcribing voice notes) How to customize the workflow Adding new FAQs**: Update the Google Sheet with new rows. Changing services**: Modify the Services Google Sheet to reflect updated offerings or prices. Custom messages**: Update the agent_reply node text to reflect your brand tone. Advanced logic**: Add routing for voice-note-only customers, VIP handling, or multilingual support. Notes This template uses multiple external integrations (Google Sheets, Google Calendar, WhatsApp, Speech-to-Text).

AI-Powered Customer Service Automation with Smart Routing How it works Core Intelligence Pipeline • Multi-Layer Message Analysis - Every customer interaction passes through three specialized AI classifiers: privacy detection (identifies sensitive data and security requirements), intent recognition (categorizes requests as purchases, inquiries, complaints, technical support, or order tracking), and sentiment analysis (monitors emotional tone from neutral to critical frustration levels) • Dynamic Knowledge Integration - The system maintains live connections to your company's knowledge base and order management systems, automatically querying relevant information before crafting responses. This ensures accuracy and eliminates outdated information while providing real-time order status updates • Conversational Memory & Context - Advanced chat memory preserves conversation history across sessions, enabling the AI to maintain context, avoid repetitive responses, and build on previous interactions for more natural, human-like conversations • Intelligent Response Generation - The AI agent synthesizes information from multiple sources (knowledge base, order systems, conversation history) while adapting its tone and approach based on detected customer sentiment and privacy requirements Smart Escalation System • Automated Triage Classification - A sophisticated routing engine categorizes each interaction into four escalation levels: Normal (AI-handled routine inquiries), Human Request (explicit agent requests), Critical Complaint (serious issues requiring immediate attention), and Owner Escalation (extreme situations with legal implications or persistent anger) • Context-Aware Handoffs - When escalation is required, the system automatically generates comprehensive situation summaries for human agents, including conversation history, customer sentiment analysis, and specific issue classification • Multi-Channel Notifications - Escalated cases trigger appropriate alerts via email to designated team members based on severity level, ensuring proper resource allocation and response times Data Intelligence & Analytics • Comprehensive Interaction Logging - Every conversation is captured with full context including customer sentiment, intent classification, AI responses, and escalation decisions, creating a rich dataset for performance analysis and system improvement • Conversation Context Generation - For escalated cases, the system automatically produces detailed conversation summaries and context reports to help human agents understand the full situation before taking over Set up steps Platform Integration (20-30 minutes) • Messaging Platform Connection - Configure your primary communication channel (supports multiple messaging platforms) with proper API credentials and webhook setup for real-time message processing • AI Service Configuration - Connect OpenAI API credentials for the language models powering the classification engines and response generation • Database Setup - Establish connections to your customer database and order management systems for personalized responses and order tracking capabilities Knowledge Base Preparation (45-60 minutes) • Company Information Import - Upload or connect your existing knowledge base, including product catalogs, policy documents, FAQ sections, and troubleshooting guides • Order Database Integration - Link your order management system to enable real-time order status queries, shipping tracking, and return processing • Response Templates - Configure standard response patterns and company voice guidelines to ensure consistent brand communication Escalation & Routing Setup (15-25 minutes) • Team Structure Configuration - Define escalation paths and assign notification recipients for different severity levels (standard support, critical complaints, owner-level issues) • Email Integration - Connect email service for automated escalation notifications with customizable templates for different situation types • Escalation Triggers - Fine-tune the classification thresholds that determine when conversations require human intervention Testing & Optimization (30-45 minutes) • Conversation Flow Testing - Run comprehensive test scenarios covering various customer intents, sentiment levels, and escalation triggers to validate system responses • Knowledge Base Validation - Verify that the AI can accurately retrieve and apply information from your knowledge base for common customer queries • Escalation Path Verification - Test all escalation routes to ensure proper notifications and handoff procedures are functioning correctly • Performance Monitoring Setup - Configure analytics tracking to monitor response accuracy, escalation rates, and customer satisfaction metrics Advanced Configuration (Optional - 30-60 minutes) • Multi-Language Support - Configure language detection and response capabilities for international customer base • Custom Classification Rules - Adjust intent and sentiment classification parameters based on your specific business context and customer communication patterns • Integration Extensions - Connect additional business systems (CRM, billing, inventory) for enhanced customer service capabilities Technical Specifications AI Models & Processing • Powered by GPT-4 family models for natural language understanding and generation • Real-time voice transcription capabilities for multi-modal customer interactions • Structured output parsing for consistent data classification and routing decisions • Context-aware memory management with configurable conversation history retention Data Security & Privacy • Automatic detection of sensitive information with privacy-first handling protocols • Configurable data retention policies and secure storage of conversation logs • Customer verification requirements for accessing sensitive account information • GDPR-compliant data processing and storage practices Scalability & Performance • Modular architecture supporting easy integration of additional messaging platforms • Database-agnostic design (supports PostgreSQL, Supabase, and other systems) • Horizontal scaling capabilities for high-volume customer service operations • Real-time processing with minimal latency for immediate customer responses Detailed technical implementation guides, API configuration examples, and troubleshooting documentation are embedded within the workflow nodes for development teams.

Multi-Agent AI Healthcare Assistant Demo ⚠️ EDUCATIONAL DEMONSTRATION ONLY - NOT FOR PRODUCTION MEDICAL USE ⚠️ A comprehensive demonstration of n8n's advanced multi-agent AI orchestration capabilities, showcasing how to build sophisticated conversational AI systems with specialized agent coordination. 🎯 What This Demo Shows Advanced Multi-Agent Architecture: Main Orchestrator Agent** - Traffic controller and decision maker Patient Registration Agent** - Specialized data collection and validation Appointment Scheduler Agent** - Complex multi-step booking workflows Medical Report Analyzer** - Document processing and analysis Prescription Medicine Analyzer** - Medicine verification and safety checks Technical Learning Objectives: Multi-agent coordination patterns Conditional agent routing and tool selection Memory management across conversations Multi-modal input processing (text, audio, images, documents) Complex state management in AI workflows External system integration (Google Sheets, WhatsApp, OpenAI) 🏗️ Architecture Highlights Multi-Modal Processing Pipeline: Text Messages** → Direct agent processing Audio Messages** → Transcription → Text processing → Audio response Images** → Vision analysis → Context integration Documents** → PDF extraction → Content analysis Agent Specialization: Each agent has focused responsibilities and constraints Intelligent document classification and routing Context-aware tool selection Error handling and recovery mechanisms Memory & State Management: Session-based conversation persistence Context sharing between specialized agents Multi-step workflow state tracking 🔧 Technical Implementation Key n8n Features Demonstrated: @n8n/n8n-nodes-langchain.agent - Main orchestrator @n8n/n8n-nodes-langchain.agentTool - Specialized sub-agents @n8n/n8n-nodes-langchain.memoryPostgresChat - Conversation memory n8n-nodes-base.googleSheetsTool - External data integration Complex conditional logic and routing Integration Patterns: WhatsApp Business API integration OpenAI GPT-4 model orchestration Google Sheets as data backend PostgreSQL for conversation memory Multi-step document processing 📚 Learning Value For n8n Developers: Enterprise-grade workflow architecture patterns AI agent orchestration best practices Complex conditional logic implementation Memory management in conversational AI Multi-modal data processing techniques Error handling and recovery strategies For AI Engineers: Agent specialization and coordination Tool calling and function integration Context management across conversations Multi-step workflow design Production workflow considerations ⚙️ Setup Requirements Required Credentials: OpenAI API Key (GPT-4 access recommended) WhatsApp Business API credentials Google Sheets OAuth2 API PostgreSQL database connection External Dependencies: Google Sheets database (template structure provided) WhatsApp Business Account PostgreSQL database for conversation memory 🚨 Important Disclaimers Educational Use Only: This is a DEMONSTRATION of n8n capabilities NOT suitable for actual medical use** NOT HIPAA compliant** Use only with fictional/test data Production Considerations: Requires proper security implementation Needs compliance review for medical use Consider HIPAA-compliant alternatives for healthcare Implement proper data encryption and access controls 🎓 Educational Applications Perfect for Learning: Advanced n8n workflow patterns Multi-agent AI system design Complex automation architecture Integration pattern best practices Conversational AI development Workshop & Training Use: AI automation workshops n8n advanced training sessions Multi-agent system demonstrations Integration pattern tutorials 🔄 Workflow Components Main Flow: WhatsApp message reception and media processing Input classification and routing Main agent orchestration and tool selection Specialized agent execution Response formatting and delivery Sub-Agents: Registration Tool** - Patient data collection Scheduler Tool** - Appointment booking logic Report Analyzer** - Medical document analysis Medicine Analyzer** - Prescription verification 💡 Customization Ideas Extend the Demo: Add more specialized agents Implement different communication channels Integrate with other healthcare APIs Add more sophisticated document processing Implement advanced analytics and reporting Adapt for Other Industries: Customer service automation Educational assistance systems E-commerce support workflows Technical support orchestration 🎯 Perfect for: Learning advanced n8n patterns, AI system architecture, multi-agent coordination ⏱️ Setup Time: 30-45 minutes (with credentials) 📈 Skill Level: Intermediate to Advanced 🏷️ Tags: AI Agents, Multi-Agent Systems, Healthcare Demo, Educational, Advanced Workflows

How it works This workflow creates a complete AI-powered restaurant ordering system through WhatsApp. It receives customer messages, processes multimedia content (text, voice, images, PDFs, location), uses GPT-4 to understand customer intent and manage conversations, handles the complete ordering flow from menu selection to payment verification, and sends formatted orders to restaurant staff. The system maintains conversation memory, verifies payment receipts using OCR, and provides automated responses in multiple languages. Who's it for Restaurant owners, food delivery services, and hospitality businesses looking to automate customer service and order management through WhatsApp without hiring additional staff. Requirements WhatsApp Business API account OpenAI API key (GPT-4/GPT-4o access recommended) Supabase account (for conversation memory and vector storage) Google Drive account (for menu images and QR codes) Google Maps API key (for location services) Gemini API key (for PDF processing) How to set up Configure credentials - Add your WhatsApp Business API, OpenAI, Supabase, Google Drive, and Gemini API credentials to n8n Update phone numbers - Replace [PHONE_NUMBER] placeholders with your actual restaurant and staff phone numbers Customize restaurant details - Replace [RESTAURANT_NAME], [RESTAURANT_OWNER_NAME], and [BANK_ACCOUNT_NUMBER] with your information Upload menu images - Add your menu images to Google Drive and update the file IDs Set up Supabase - Create tables for chat memory and upload your menu/restaurant information to the vector database Configure AI prompts - Update the restaurant information in the AI agent system messages Test the workflow - Send test messages to verify all integrations work How to customize the workflow Menu management**: Update Google Drive file IDs to display your current menu images Payment verification**: Modify the receipt analysis logic to match your bank's receipt format Order formatting**: Customize the order confirmation template sent to kitchen staff AI personality**: Adjust the restaurant agent's tone and responses in the system prompts Languages**: The AI supports multiple languages - customize welcome messages for your target market Business hours**: Add time-based logic to handle orders outside operating hours Delivery zones**: Integrate with your delivery area logic using the location processing features

Supercharge Your HighLevel CRM with the Power of GPT-5 Unleash the full potential of your HighLevel CRM by adding an intelligent GPT-5 Agent that does more than just follow commands — it understands context, retrieves the right data, and executes actions instantly. This marketplace solution transforms how you work: Act Instantly** – Create, update, and manage contacts, opportunities, tasks, and calendars with natural language commands. Work Smarter, Not Harder** – The agent pulls context from your internal documents, spreadsheets, and even the web before acting, ensuring every move is informed and precise. Never Miss a Detail** – It searches your knowledge base, Google Drive, and Supabase vectors to fill in missing info so you don’t have to. Boost Team Productivity** – Automate repetitive CRM work, cut manual data entry, and free up hours every week. Close Deals Faster** – Instantly update opportunities, schedule meetings, and follow up on leads without switching tabs. Stay Organized Effortlessly** – One AI agent orchestrates it all — from booking appointments to updating deal stages — directly inside HighLevel. Why This Is a Game-Changer Other tools require constant babysitting. This agent thinks ahead, checks context, and ensures every action in your CRM is accurate, complete, and ready to move your business forward. ⚡ Stop clicking through endless menus. Let GPT-5 + HighLevel automation work for you. ✅ Boost conversions ✅ Automate admin work ✅ Keep your CRM data flawless Get it now and watch your CRM become your smartest sales assistant.

This n8n template uses AI to automatically classify incoming Gmail messages into five categories and route them to the right people or departments. It can also reply automatically and send WhatsApp alerts for urgent or relevant messages. This helps ensure high-priority emails never get missed, while other messages are handled efficiently. ##How It Works Trigger A new email in Gmail triggers the workflow. Classification (OpenAI GPT) The email is analyzed by an OpenAI GPT model and classified into one of: High Priority Customer Support Promotion Finance/Billing Random/Other Conditional Logic & Actions High Priority → Create draft reply + send WhatsApp alert. Customer Support → Auto-reply + send WhatsApp confirmation alert. Promotion → Summarize email + send WhatsApp promotional alert. Finance/Billing → Forward to finance team + send WhatsApp finance alert. Random/Other → Label and log only. Multi-Channel Output Responses are sent via Gmail. Alerts are sent via WhatsApp (or another compatible API). ##Setup Instructions Step 1: Gmail Authorization Add a Gmail node in n8n. Connect using OAuth2 and grant read/send permissions. Step 2: OpenAI API Key Get your API key from OpenAI. Add it to n8n credentials for the OpenAI node. Step 3: WhatsApp Integration Use your WhatsApp Business API or a provider like Twilio or 360Dialog. Replace placeholders with your details: [YOUR_WHATSAPP_NUMBER] [YOUR_FINANCE_TEAM_NUMBER] [YOUR_SUPPORT_TEAM_NUMBER] Step 4: Import & Run Import the workflow JSON into n8n. Adjust prompts, labels, and routing logic as needed. Execute and monitor results. ##Good to Know Fully customizable — add or remove categories, adjust responses, and change alert channels. Can be integrated with Slack, Discord, Trello, Notion, Jira, or CRM systems. Scales easily across teams and departments. ##Requirements Gmail account with OAuth2 credentials set up in n8n OpenAI API key for classification and content generation WhatsApp (or other messaging service) integration Optional: Slack, Notion, CRM, or accounting tool integrations ##Customization Ideas Create support tickets in Trello, Notion, or Jira from Customer Support emails. Sync Finance emails with QuickBooks, Stripe, or Google Sheets. Replace WhatsApp alerts with Slack or Discord messages. Use Zapier/Make for cross-platform automations.

🚀 AI OPS Agent for n8n — Stop Doing Busy Work. Start Leading. Your AI workforce is ready. Are you? 💰 What You Get: Your ROI in 30 Days Replace 10-15 hours/week of manual work with intelligent automation that actually understands your business. While your competitors copy-paste data between tools, you'll be making strategic decisions. 🧠 The Powerhouse Stack That Does Everything | Module | Core Job | Your Competitive Edge | |------------|-------------|--------------------------| | MAIN AGENT (Grok 4) | Orchestrator & brain | • Reads your message → builds execution plan• Delegates to specialized agents• Delivers results through your preferred channel | | Knowledge Agent | Company-wide research assistant | • Vector-searches your Supabase docs instantly• Runs live SQL queries for real-time numbers• Hunts & parses Drive files automatically• Pulls fresh web intelligence via Perplexity | | Google Sheets MCP Toolkit | Spreadsheet automation | Natural-language control over read/append/update/clear/create/delete operations on any tab or range | | Google Drive MCP Toolkit | File intelligence pipeline | • Auto-detects file types & extracts text from PDFs/CSVs• Transcribes audio/video content• Describes images with GPT-4o Mini | | Vector Store Loader | Long-term memory system | • Auto-chunks new files• Creates OpenAI embeddings• Stores in Supabase for instant semantic search | | Postgres Chat Memory | Conversation context | Never repeat yourself—every follow-up question builds on previous context | | Report Agent | Executive briefing machine | • Converts raw outputs → clean Markdown → HTML• Auto-emails/Slacks/Telegrams polished reports | | LinkedIn Scraper | Talent & market intelligence | Scrapes full LinkedIn profiles via Apify, delivers structured JSON for analysis | | Multi-Channel Triggers | Meet users where they work | Slack • Gmail • Telegram • WhatsApp • HTTP Webhooks | | LLM Layer | Right model, right job | Grok 4 (reasoning) • Claude Sonnet 4 (analysis) • GPT-4o Mini (speed) • Perplexity (live web) | ⚡ How It Works (The Magic in 5 Steps) Message arrives (Slack mention, email, webhook) MAIN AGENT analyzes → selects optimal tool chain Specialized toolkits execute (Sheets, Drive, SQL, Scraper...) Knowledge Agent synthesizes everything using the perfect LLM Report Agent packages & delivers results to your chosen channel 🎯 Real Commands That Save Hours Daily > "Update the Marketing-Spend sheet with last week's totals, then email me a chart." > > "Find the product-launch PDF from Drive, summarize key risks, post to Slack." > > "Scrape this LinkedIn URL, rank the candidate's skills, add them to our CRM sheet." > > "Create a new Sprint 11 tab, copy headers from Sprint 10, and ping the team." One command. Multiple systems. Zero manual work. Why Choose This Over Other Products: ✅ All Your Data, One Brain No more jumping between 12 different tools. Your AI agent connects everything. You can go further If you want to increase the Agent capabilities or make the more powerfull you can reach the dev. ✅ Vector Search Built-In Upload a 100-page document once. Search it forever with natural language. ✅ Executive-Ready Reports Your C-suite gets clean HTML briefs, not raw data dumps that waste their time. ✅ Deploy in Minutes Plug into your existing n8n setup, add credentials, watch routine ops handle themselves.

AI Blog Automation System Description This comprehensive N8N automation template revolutionizes content creation by delivering a complete end-to-end solution for AI-powered blog generation. Transform simple ideas into fully SEO-optimized, WordPress-ready articles that rank higher and drive organic traffic to your website. The system accepts blog requests from multiple communication channels (Telegram, WhatsApp, Slack, Gmail) and automatically processes them through an intelligent pipeline that includes advanced keyword research, competitor analysis, and market insights. Using cutting-edge AI models like GPT-4 and OpenRouter, the workflow generates detailed content outlines, conducts comprehensive research, and produces high-quality, engaging blog posts that are automatically formatted and published directly to your WordPress website. What sets this template apart is its focus on SEO excellence - every piece of content is optimized for search engines with proper keyword density, meta descriptions, internal linking strategies, and content structure that search engines love. The integrated content tracking system maintains a database of all published articles, enabling smart internal linking recommendations and content performance monitoring. Key Features 🤖 Advanced AI Content Generation GPT-4 & OpenRouter Integration** - Leverage the most powerful AI models for superior content quality Multi-stage content refinement** - From outline to final polish, ensuring professional-grade articles Topic research and fact-checking** - AI conducts deep research to create authoritative, well-sourced content 🎯 SEO Optimization at Every Step Intelligent keyword research** - Automatic discovery of high-volume, low-competition keywords Competitor analysis** - Analyze top-ranking content to identify content gaps and opportunities On-page SEO optimization** - Perfect keyword density, meta descriptions, and heading structure Internal linking strategy** - Smart recommendations for linking to existing content SEO-friendly URL generation** - Automatically create search-engine optimized permalinks 🔌 Seamless WordPress Integration Direct publishing** - Articles go live on your WordPress site without manual intervention Custom post formatting** - Proper heading tags, featured images, and category assignment Draft and scheduling options** - Choose immediate publishing or schedule for optimal timing Media handling** - Automatic image optimization and alt-text generation 📱 Multi-Platform Input System Telegram, WhatsApp, Slack, Gmail support** - Accept blog ideas from your preferred communication channels Voice message transcription** - Convert audio ideas into written blog requests Email parsing** - Extract blog topics from client emails or team communications Priority queue management** - Handle multiple requests efficiently with smart prioritization 📊 Content Management & Analytics Comprehensive content database** - Track all published articles, keywords, and performance metrics Internal linking opportunities** - Automatic suggestions for connecting related content Publishing schedule optimization** - AI-recommended posting times for maximum engagement Performance tracking** - Monitor which topics and keywords drive the most traffic 📋 Complete Setup Guide Included This template comes with a comprehensive step-by-step setup guide that walks you through: N8N workflow installation and configuration** API key setup** for all integrated services (OpenAI, WordPress, communication platforms) WordPress plugin installation** and permissions configuration Database setup** for content tracking and analytics Custom field configuration** for SEO optimization Webhook configuration** for multi-platform input Testing procedures** to ensure everything works perfectly Troubleshooting guide** for common issues Best practices** for content optimization and workflow management Perfect for content creators, digital marketers, SEO specialists, and enterprises looking to scale their content production while maintaining high quality and search engine visibility. Whether you're managing a single blog or multiple WordPress sites, this automation system transforms your content workflow from manual labor to intelligent automation.

Who is this for? This template is designed for internal support teams, product specialists, and knowledge managers in technology companies who want to automate ingestion of product documentation and enable AI-driven, retrieval-augmented question answering via WhatsApp. What problem is this workflow solving? Support agents often spend too much time manually searching through lengthy documentation, leading to inconsistent or delayed answers. This solution automates importing, chunking, and indexing product manuals, then uses retrieval-augmented generation (RAG) to answer user queries accurately and quickly with AI via WhatsApp messaging. What these workflows do Workflow 1: Document Ingestion & Indexing Manually triggered to import product documentation from Google Docs. Automatically splits large documents into chunks for efficient searching. Generates vector embeddings for each chunk using OpenAI embeddings. Inserts the embedded chunks and metadata into a MongoDB Atlas vector store, enabling fast semantic search. Workflow 2: AI-Powered Query & Response via WhatsApp Listens for incoming WhatsApp user messages, supporting various types: Text messages: Plain text queries from users. Audio messages: Voice notes transcribed into text for processing. Image messages: Photos or screenshots analyzed to provide contextual answers. Document messages: PDFs, spreadsheets, or other files parsed for relevant content. Converts incoming queries to vector embeddings and performs similarity search on the MongoDB vector store. Uses OpenAI’s GPT-4o-mini model with retrieval-augmented generation to produce concise, context-aware answers. Maintains conversation context across multiple turns using a memory buffer node. Routes different message types to appropriate processing nodes to maximize answer quality. **Setup Setting up vector embeddings** 1- Authenticate Google Docs and connect your Google Docs URL containing the product documentation you want to index. 2- Authenticate MongoDB Atlas and connect the collection where you want to store the vector embeddings. Create a search index on this collection to support vector similarity queries. 3- Ensure the index name matches the one configured in n8n (data_index). See the example MongoDB search index template below for reference. Setting up chat 1- Authenticate the WhatsApp node with your Meta account credentials to enable message receiving and sending. 2- Connect the MongoDB collection containing embedded product documentation to the MongoDB Vector Search node used for similarity queries. 3- Set up the system prompt in the Knowledge Base Agent node to reflect your company’s tone, answering style, and any business rules, ensuring it references the connected MongoDB collection for context retrieval. Make sure Both MongoDB nodes (in ingestion and chat workflows) are connected to the same collection with: An embedding field storing vector data, Relevant metadata fields (e.g., document ID, source), and The same vector index name configured (e.g., data_index).

Think of this workflow as your very own J.A.R.V.I.S., the ultimate AI personal assistant, capable of handling a vast array of tasks just like Tony Stark's legendary AI! Overview This n8n workflow creates a highly intelligent, multi-agent AI system designed to act as your all-in-one personal assistant. At its core is Jarvis, the central AI, who smartly understands your requests and delegates them to specialized "supervisor" AIs. These supervisors then activate their own "sub-agents" (smaller AI workflows) to perform specific tasks, covering everything from managing your work to helping with your personal life and getting you the information you need. Use Case This powerful workflow is perfect for anyone who wants to automate and streamline almost any digital task. Imagine having an assistant who can: Boost Productivity:** Manage your calendar, create and update documents (Google Docs, Sheets, Drive), handle tasks (ClickUp, Google Tasks), and keep your customer data organized (Zoho CRM, Airtable). Master Communication:** Draft and search emails, send messages on Slack, and even manage your X (Twitter) interactions. Handle Publishing & Content:** Create images, post on social media (Facebook, X, LinkedIn, Instagram), and manage your WordPress content. Provide Smart Insights:** Perform deep online research, analyze SEO trends, check financial markets, and gather website performance data from Google Analytics. Manage Your Lifestyle:** Keep track of your meal plans and habits in Notion, and even help you with travel planning. This system is designed to intelligently choose the best tool for each part of your request, making complex tasks simple. How It Works It all starts with your input, delivered via WhatsApp. Whether you send a text message, an audio note (which gets transcribed), an image, or a document (from which data like invoices can be extracted), the workflow processes it to understand your need. This input then goes to Jarvis, the central AI. Donna acts like a super-smart manager. It quickly figures out which "supervisor" agent is best for your request: Productivity Supervisor:** For anything work-related – documents, calendars, tasks, or CRM. Communication Supervisor:** For emails, Slack, or X (Twitter). Lifestyle Supervisor:** For personal organization like meals or travel. Insights Supervisor:** For research, SEO, financial data, or website analytics. Publishing Supervisor:** For social media posting, images, or WordPress. Donna then hands off your request to the chosen supervisor. Each supervisor, in turn, uses its own set of specialized "sub-agents" (individual n8n workflows) to get the job done. For example, if you ask Donna to "find me flight information," she directs it to the "Lifestyle Supervisor," which then uses the "Travel Agent" to look up flights. The results are then sent back to you directly through WhatsApp. This "Agent as a Tool" setup means complex tasks are broken down and handled by the right expert AI. How to Set It Up Individual Agent Workflows: This system is built with many specialized AI "agents" working together. To get started, you'll need to set up a separate n8n workflow for each of the individual agents (like "Notion Agent," "Email Agent," "SEO Agent," etc.). Connect Agents: Once created, these individual agent workflows must be correctly linked to their designated "call workflow" tools within the main supervisor workflows. This tells Donna and her supervisors which tools to use for each task. Credentials: Make sure you've properly connected all necessary accounts and API keys (like Google, OpenAI, Slack, Airtable, etc.) within their respective agent workflows. Activate: After setting up and linking all parts and adding your credentials, activate this main workflow. For more detailed setup instructions, please refer to our Detailed Setup Guide. If you need any further help, don't hesitate to email us at [email protected].

This automated n8n workflow generates social media briefs for sales meetings by integrating with Google Calendar, enriching attendee data, and leveraging AI to summarize social media activity. The system delivers formatted summaries via email and WhatsApp to support sales preparation. Good to Know The workflow triggers daily at 5 AM Attendee data enrichment enhances meeting context AI-driven insights improve sales readiness Summaries are sent via email and WhatsApp How It Works Schedule Trigger - 5 AM** - Initiates the workflow daily at 5 AM Initialize Workflow** - Sets up the workflow manually Fetch Today's Meetings from Google Calendar** - Retrieves scheduled meetings for the day Extract Attendees Email Domains** - Identifies email domains of meeting attendees Loop Through Attendees** - Iterates through each attendee for processing Split Attendee Details** - Separates individual attendee details Enrich Attendee Company Enrichment** - Enhances data with company information Wait for Company Enrichment** - Pauses to ensure company data is processed Check Enrichment Status** - Verifies the status of enriched data Fetch Latest LinkedIn Posts** - GET request to fetch LinkedIn posts Extract Key Post Insights** - Extracts key insights from social media posts Summarize Social Activity with AI** - Summarizes social media activity using AI Merge Summary with (Decide)** - Combines summary with other data Format Email Summary for Complete Chat** - Formats the summary for email Wait Before Sending** - Adds a delay before sending Generate HTML Email Template** - Creates an HTML email template Send via Gmail** - Sends the email summary Send WhatsApp Message** - Sends the summary via WhatsApp How to Use Import the workflow into n8n Configure Google Calendar API credentials Set up LinkedIn API or scraping credentials Configure email and WhatsApp credentials Test the workflow with a sample meeting to verify data flow Adjust the trigger time or delay as needed Requirements Google Calendar API credentials LinkedIn API or scraping access Email service credentials (Gmail, SMTP, etc.) WhatsApp API or integration credentials Customizing This Workflow Modify the trigger time in the Schedule Trigger node to suit your schedule Adjust the Wait nodes to optimize data processing Customize the AI summarization logic in the Summarize Social Activity node for specific insights