Google Drive and WhatsApp Business Cloud integration

How it works This workflow sends WhatsApp messages and emails in bulk using contact data stored in Google Sheets. Contacts are processed in small batches to control throughput and avoid API rate limits. WhatsApp and email are treated as independent channels and are sent only when their status is marked as pending. All success and failure results are written back to Google Sheets to enable tracking, retries, and safe re-runs. Step-by-step Step 1: Fetch contacts & batch processing** Manual Trigger – Starts the workflow manually. Get Contacts – Reads contact data from Google Sheets. Split In Batches – Processes contacts in controlled batch sizes. Step 2: Email preparation & sending** Has Email Address – Checks whether the contact has an email address. IF Mail Pending – Ensures the email is still marked as pending. PrepareEmail email – Loads the selected InboxPlus email template. Build HTML Email – Builds the final HTML email body. Fetch Email Image – Downloads images for inline or attachment usage. Send Gmail – Sends the email via Gmail. Delivered – Confirms successful email delivery. Step 3: WhatsApp message sending** Has Phone Number – Checks whether the contact has a phone number. IF WhatsApp Pending – Ensures the WhatsApp message is still pending. Send template – Sends the approved WhatsApp template message. Sent – Confirms message acceptance by WhatsApp. Step 4: Delivery status updates** Update Sheet – Writes successful delivery results back to Google Sheets. Mail Failure – Updates Google Sheets if email delivery fails. Whatsapp Failure – Updates Google Sheets if WhatsApp delivery fails. Why use this? Prevents duplicate messages with channel-level pending checks Handles WhatsApp and email independently in one workflow Supports safe retries without resending completed messages Keeps Google Sheets as the single source of truth Scales bulk outreach safely using batch-based execution

Description How it works This powerful workflow helps businesses and freelancers automatically manage invoices received on WhatsApp. It detects new messages, downloads attached invoices, extracts key data using OCR (Optical Character Recognition), summarizes the details with AI, updates Google Sheets for record-keeping, saves files to Google Drive, and instantly replies with a clean summary message all without manual effort. Perfect for small businesses, agencies, accountants, and freelancers who regularly receive invoices via WhatsApp. Say goodbye to manual data entry and hello to effortless automation. Set up steps Setup takes around 10–15 minutes: Connect your WhatsApp Cloud API to trigger incoming messages. Add your OCR.Space API key to extract invoice text. Link your Google Sheets and Google Drive accounts for data logging and storage. Enter your OpenAI API key for AI-based summarization. Import the template, test once, and you’re ready to automate your invoice workflow. Why use this workflow Save hours of manual data entry Keep all invoices safely stored and organized in Drive Get instant summaries directly in WhatsApp Improve efficiency for client billing, and expense tracking.

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

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.

Overview Turn WhatsApp chats into instant answers and real-time bookings—all in one n8n workflow. Your AI Agent leverages Gemini embeddings + Pinecone for on-the-fly knowledge retrieval, then logs reservations directly into Google Sheets. Features AI-powered Q&A: Natural-language responses driven by Gemini + Pinecone vector search Seamless Reservations: Book services via WhatsApp; entries auto-append to Google Sheets Auto-Embedding Sub-workflow: Drag-and-drop Google Drive docs get indexed in Pinecone 24-Hour Follow-Up: Automated template messages if no response within a day Personal Support Pledge: Hands-on help until your workflow runs flawlessly Requirements n8n account (self-hosted or n8n.cloud) Google Cloud project with Gemini & Drive APIs enabled Pinecone account (free tier works) Google Sheets account WhatsApp Business API credentials (e.g. Twilio, 360dialog) Setup Instructions Import Workflow Download the .json file from your Gumroad purchase In n8n Editor → Import → From File → select the JSON Add Credentials Google Service Account (Gemini & Drive APIs) Pinecone (API Key + Environment) Google Sheets OAuth2 WhatsApp Business API (HTTP credential or native) Configure Nodes AI Agent: select Gemini credentials; update system prompt with your business name & services Pinecone Loader: point “Google Drive” node to your docs folder Sheets Append: set Spreadsheet ID, sheet name “reservations”, map Timestamp, UserID, Service, Date, Time, Notes WhatsApp Trigger & Send: set webhook URL; choose approved template name Test End-to-End Activate the workflow → send a test WhatsApp message → verify AI reply + new row in your sheet Google Sheet Structure Column Description Timestamp Auto-generated when a user books UserID : Unique WhatsApp user identifier Service : Chosen service or product name Date : Booking date Time : Booking time slot Notes : Any extra information (e.g., special requests) Customization Add New Services: Edit the system prompt’s services list Change Follow-Up Window: Adjust the “24-hour window check” node logic Embed Different Docs: Point the Drive node at any folder of PDFs/TXT 📞 Personal Support Pledge: I’ll work with you (via WhatsApp or email, remote desktop ) until your workflow is running flawlessly—no extra fees, no “good luck” drop‑off. Just send a message via: Email: [email protected] WhatsApp: +20 106 180 3236

📄 n8n RAG Ingestion & Query Workflow Overview This workflow is your all-in-one pipeline to turn any document into a powerful searchable knowledge base using RAG (Retrieval-Augmented Generation). From the moment a file lands in your Google Drive, it’s automatically processed, understood, and made ready for instant AI-powered answers. If you’re looking to unlock hidden value in your files and get answers in seconds instead of hours, this workflow is the foundation you need. What It Does for You 📥 Automatic Ingestion** – New files in a designated Google Drive folder are instantly picked up. 🔍 OCR Extraction* – Extracts all* text, whether it’s plain or inside tables. 📚 Vector Database Storage* – Keeps your documents in Supabase* for lightning-fast semantic search. 🧩 Smart Chunking** – Each page becomes a single chunk for better understanding. 💡 AI-Powered Answers** – Ask questions in natural language and get precise, context-aware responses. 🧠 Persistent Memory** – Remembers previous chats for more coherent conversations. ⚡ GPT-5 Intelligence** – Uses OpenAI’s most advanced model for deep, accurate answers. How It Works Detect → Watches your Google Drive folder for new files. Extract → Uses Mistral AI to read all text, including tables. Chunk → Splits content so one page = one chunk for better context. Embed → Generates vector embeddings with OpenAI for semantic search. Store → Inserts processed content into Supabase. Retrieve & Answer → When you ask, the system searches the database and passes the results to GPT-5. Remember → Stores conversation history in Postgres for continuity. Why You Want This Stop wasting time digging through files. Get fast, AI-driven answers from your own documents. Keep your data organized and searchable at any scale. Designed for businesses, researchers, and teams who want instant access to the right information. You get the template + setup guide and description Key Highlights End-to-End Automation** – From upload to query, no manual steps needed. Flexible** – Works with any document type. High Accuracy** – Large chunk size preserves full page context. Scalable** – Add as many files as you want without slowing down. Future-Ready** – Built to grow with your needs. 🚀 Imagine having your own private ChatGPT trained on your files. This workflow makes it happen. Upload, search, and get answers — all automatically.

🚀 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.

This automated n8n workflow securely backs up Gmail attachments to Google Drive by triggering on new emails, retrieving the attachments, and uploading them to a designated Drive folder. The process includes a delay to ensure reliable execution and notifies the user via WhatsApp upon completion. Good to Know The workflow triggers on new Gmail messages A short wait ensures proper processing Attachments are uploaded to Google Drive A WhatsApp message confirms the backup How It Works New Email Received** - Initiates the workflow on new Gmail messages Fetch Email Details** - Retrieves the new email message Wait for Processing** - Adds a short delay for reliable processing Process Attachment Data** - Processes the attachment data Upload to Google Drive** - Uploads the attachment to Google Drive Notify via WhatsApp** - Sends a WhatsApp message to confirm the backup How to Use Import the workflow into n8n Configure Gmail API credentials Set up Google Drive API credentials Configure WhatsApp API or integration credentials Test with a sample email containing an attachment Adjust the wait duration if needed Requirements Gmail API credentials Google Drive API credentials WhatsApp API or integration credentials Customizing This Workflow Modify the wait duration in the Wait node to optimize processing time Adjust the Code node to handle specific attachment types or folder destinations in Google Drive