Workflow Templates

This workflow automates the daily content creation process by monitoring trends, generating drafts for multiple platforms using AI, and requiring human approval before saving. It acts as an autonomous "AI Content Factory" that turns raw news into polished content for SEO Blogs, Instagram, and TikTok/Reels. How it works Trend Monitoring: Fetches the latest trend data via RSS (e.g., Google News or Google Trends). AI Filtering: An AI Agent acts as an "Editor-in-Chief," selecting only the most viral-worthy topics relevant to your niche. Multi-Format Generation: Three specialized AI Agents (using gpt-4o-mini for cost efficiency) run in parallel to generate: An SEO-optimized Blog post structure. An Instagram Carousel plan (5 slides). A Short Video Script (TikTok/Reels). Human-in-the-Loop: Sends a formatted message with interactive buttons to Slack. The workflow waits for your decision. Final Storage: If approved, the content is automatically appended to Google Sheets. Who is this for Social Media Managers & Content Creators Marketing Agencies managing multiple accounts Anyone wanting to automate "research to draft" without losing quality control. Requirements n8n:** Version 1.19.0+ (requires AI Agent nodes). OpenAI:** API Key (works great with low-cost gpt-4o-mini). Slack:** A workspace to receive notifications. Google Sheets:** To store the approved content. How to set up Configure Credentials: Set up your OpenAI, Slack, and Google Sheets credentials. Slack App: Create a Slack App, enable "Interactivity," and set the Request URL to your n8n Production Webhook URL. Add the chat:write scope and install it to your workspace. Google Sheet: Create a sheet with columns for Blog, Instagram, and Script (row 1 as headers). RSS Feed: Change the RSS node URL to your preferred topic source.

How it works When a meeting ends in Fireflies, the transcript is automatically retrieved and sent to OpenAI for analysis. The AI evaluates objection handling, call effectiveness, and extracts key objections raised during the conversation. It then generates specific objection handlers for future calls. The analysis is formatted into a structured report and sent to both Slack for immediate visibility and Google Drive for centralized storage. Set up steps Prerequisites: Fireflies account with API access OpenAI API key Slack workspace Google Drive connected to n8n Configuration: Connect Fireflies webhook to trigger on meeting completion Add OpenAI API key in the AI analysis nodes Configure Slack channel destination for feedback delivery Set Google Drive folder path for report storage Adjust AI prompts in sticky notes to match your objection categories and sales methodology

How it works • Webhook receives lead form submissions from your website • AI Agent (GPT-4o) analyzes lead quality using intelligent scoring framework • Clearbit enriches company data automatically (employee count, industry, revenue) • Qualification score (0-100) determines routing: high-quality leads → HubSpot CRM + Slack alert, low-quality leads → Airtable for manual review • Structured output parser ensures reliable JSON formatting every time Set up steps • Time to set up: 15-20 minutes • Import the Clearbit sub-workflow first (separate workflow file included) • Create 7 custom properties in HubSpot (qualification_score, buying_intent, urgency_level, budget_indicator, ai_summary, pain_points, recommended_action) • Create Airtable base with 14 columns for low-quality lead tracking • Get Slack channel IDs for sales alerts and review requests • Add credentials: OpenAI (GPT-4o), Clearbit API, HubSpot OAuth2, Slack OAuth2, Airtable Token • Replace placeholder IDs in Slack and Airtable nodes • Configure the Clearbit Enrichment Tool node with your sub-workflow ID What you'll need • OpenAI API - OpenAI model access for AI qualification • Clearbit API - Free tier available for company enrichment • HubSpot - Free CRM account works • Slack - Standard workspace • Airtable - Free plan works • Website form - To send webhook data Who this is for Sales teams and agencies that want to automatically qualify inbound leads before they hit the CRM. Perfect for B2B companies with high lead volume that need intelligent routing.

📊 WEEX Spot Market Quant AI Agent (All-in-One Multi-Agent Trading System) ⚡ Overview This multi-agent n8n workflow delivers an automated, intelligent trading analysis system for the WEEX Spot Market. It uses GPT-4o to interpret user prompts, route them to the correct sub-agent tools, analyze technical indicators, price data, sentiment insights, and return concise trading signals via Telegram or downstream automations. No need to download additional workflows—everything is embedded in this single orchestrated agent. 🧠 Core Features 🔹 Single-entry architecture → Built-in orchestration logic with no external subworkflow dependencies 🔹 Multi-timeframe indicator analysis → 15m, 1h, 4h, and 1d 🔹 Sentiment + news insights from crypto sources 🔹 Live price, volume, kline, and order book analysis 🔹 LLM-powered signal evaluation using GPT-4o 🔹 Telegram integration for fast human queries or autonomous alerts 🤖 Built-In Agent Modules | Module | Description | | ----------------------------------- | ---------------------------------------------------------- | | ✅ Financial Analyst Tool | Routes prompts, interprets tokens, and triggers sub-agents | | ✅ News & Sentiment Analyst Tool | Gathers real-time sentiment from crypto news sources | | ✅ Technical Indicator Tools | 15m, 1h, 4h, 1d indicators using WEEX spot market data | | ✅ Price & Order Book Agent | Fetches real-time stats, price, and structure | | ✅ Trading Signal Evaluator | GPT-4o merges all data and generates trading decision | 🖥️ Prompt Flow Example User Input: “Should I long or short ETH on WEEX today?” → Financial Analyst Agent interprets the query → Fetches multi-timeframe indicators, live price, sentiment → GPT-4o evaluates conditions and creates recommendation → Output delivered via Telegram: 📈 ETH/USDT Overview • Price: \$3,710 • 4h RSI: 64.5 – Slightly Overbought • MACD: Bullish Crossover • Market Sentiment: 🔼 Positive Recommendation: Consider long entry with stop at \$3,640. 🔧 Setup Instructions Follow these steps to fully deploy and operate the WEEX Quant AI Agent in your n8n environment: 🟢 Get Telegram Bot API Key Create your bot via @BotFather on Telegram Save the token it gives you (format: 123456789:ABCdefGHIjkLMNopQRStuvWXyz) 🔑 Add OpenAI / DeepSeek Chat API Key Compatible with GPT-4o (OpenAI) or DeepSeek Chat 📈 (Optional) WEEX API Keys If expanding to live trading or authenticated data, get a WEEX Spot API key from your account dashboard Not required for the analysis agent to function 🔗 Connect Telegram to n8n Use Telegram Trigger and Telegram node with your API key Ensure webhook is set correctly (or use polling mode) ✅ Example Use Cases | Scenario | Outcome | | ---------------------------------- | ----------------------------------------------------- | | “Is BTC bullish or bearish?” | Merged indicator + sentiment + price analysis summary | | “Get 15m and 4h trends for SOL” | Multi-timeframe volatility vs macro trend report | | “Latest crypto news on XRP” | Real-time filtered news + DeepSeek sentiment summary | | “What’s the order book structure?” | Level-by-level spread analysis with buy/sell volumes | 🎥 Watch the Live Demo 👨‍💼 Licensing & Support 🧾 © 2025 Treasurium Capital Limited Company Architecture, prompts, and trade signal framework are IP-protected. No unauthorized rebranding or replication permitted. 📩 Connect with the Creator Don Jayamaha – LinkedIn Profile

Automating WhatsApp replies in Go High Level with Redis and Anthropic Description Integrates GHL + Wazzap with Redis and an AI Agent using ClientInfo to process messages, generate accurate replies, and send them via a custom field trigger. Who’s it for This workflow is for businesses using GoHighLevel (GHL), including the Wazzap plugin for WhatsApp, who want to automate inbound SMS/WhatsApp replies with AI. It’s ideal for teams that need accurate, data-driven responses from a predefined ClientInfo source and want to send them back to customers without paying for extra inbound automations. How it works / What it does Receive message in n8n via Webhook from GHL (Customer Replied (SMS) automation). WhatsApp messages arrive the same way using the Wazzap plugin. Filter message type: If audio → skip processing and send fallback asking for text. If text → sanitize by fixing escaped quotes, escaping line breaks/carriage returns/tabs, and removing invalid fields. Buffer messages in Redis to group multiple messages sent in a short window. Run AI Agent using the ClientInfo tool to answer only with accurate service/branch data. Sanitize AI output before sending back. Update GHL contact custom field (IA_answer) with the AI’s response. Send SMS reply automatically via GHL’s outbound automation triggered by the updated custom field. How to set up In GHL, create: Inbound automation: Trigger on Customer Replied (SMS) → Send to your n8n Webhook. Outbound automation: Trigger when IA_answer is updated → Send SMS to the contact. Create a custom field named IA_answer. Connect Wazzap in GHL to handle WhatsApp messages. Configure Redis in n8n (host, port, DB index, password). Add your AI model credentials (Anthropic, OpenAI, etc.) in n8n. (Optional) Set up the Google Drive Excel Merge sub-workflow to enrich ClientInfo with external data. Requirements GoHighLevel sub-account API key**. Anthropic (Claude)** API key or another supported LLM provider. Redis database** for temporary message storage. GHL automations: one for inbound messages to n8n, one for outbound replies when **IA\_answer is updated. GHL custom field: **IA\_answer to store and trigger replies. Wazzap plugin** in GHL for WhatsApp message handling. How to customize the workflow Add more context or business-specific data to the AI Agent prompt so replies match your brand tone and policies. Expand the ClientInfo dataset with additional services, branches, or product details. Adjust the Redis wait time to control how long the workflow buffers messages before replying.

How it works User Signup & Verification: The workflow starts when a user signs up. It generates a verification code and sends it via SMS using Twilio. Code Validation: The user replies with the code. The workflow checks the code and, if valid, creates a session for the user. Conversational AI: Incoming SMS messages are analyzed by Chat GPT AI for sentiment, intent, and urgency. The workflow stores the conversation context and generates smart, AI-powered replies. Escalation Handling: If the AI detects urgency or frustration, the workflow escalates the session—alerting your team and sending a supportive SMS to the user. Set up steps Estimated setup time:** 10–20 minutes for most users. What you’ll need:** A free n8n account (self-hosted or cloud) Free Twilio account (for SMS) OpenAI API key (for AI) A PostgreSQL database (Supabase, Neon, or local) Setup process:** Import this workflow into n8n. Add your Twilio and OpenAI credentials as environment variables or n8n credentials. Update webhook URLs in your Twilio console (for incoming SMS). (Optional) Adjust sticky notes in the workflow for detailed, step-by-step guidance.

VEXA: AI-Powered Meeting Intelligence I'll be honest, I built this because I was getting lazy in meetings and missing key details. I started with a simple VEXA integration for transcripts, then added AI to pull out summaries and tasks. But that just solved part of the problem. The real breakthrough came when we integrated Mem0, creating a persistent memory of every conversation. Now, you can stop taking notes and actually focus on the person you're talking to, knowing a system is tracking everything that matters. This is the playbook for how we built it. How It Works This isn't just one workflow; it's a two-part system designed to manage the entire meeting lifecycle from start to finish. Bot Management: It starts when you flick a switch in your CRM (Baserow). A command deploys or removes an AI bot from Google Meet. No fluff—it's there when you need it, gone when you don't. The workflow uses a quick "digital sticky note" in Redis to remember who the meeting is with and instantly updates the status in your Baserow table. AI Analysis & Memory: Once the meeting ends, VEXA sends the transcript over. Using the client ID (thank god for redis) , we feed the conversation to an AI model (OpenAI). It doesn't just summarize; it extracts actionable next steps and potential risks. All this structured data is then logged into a memory layer (Mem0), creating a permanent, searchable record of every client conversation. Setup Steps: Your Action Plan This is designed for rapid deployment. Here's what you do: Register Webhook: Run the manual trigger in the workflow once. This sends your n8n webhook URL to VEXA, telling it where to dump transcripts after a call. Connect Your CRM: Copy the vexa-start webhook URL from n8n. Paste it into your Baserow automation so it triggers when you set the "Send Bot" field to Start_Bot. Integrate Your Tools: Plug your VEXA, Mem0, Redis, and OpenAI API credentials into n8n. Use the Baserow Template: I've created a free Baserow template to act as your control panel. Grab it here: https://baserow.io/public/grid/t5kYjovKEHjNix2-6Rijk99y4SDeyQY4rmQISciC14w. It has all the fields you need to command the bot. Requirements An active n8n instance or cloud account. Accounts for VEXA.ai, Mem0.ai, Baserow, and OpenAI. A Redis database . Your Baserow table must have these fields: Meeting Link, Bot Name, Send Bot, and Status. Next Steps: Getting More ROI This workflow is the foundation. The real value comes from what you build on top of it. Automate Follow-ups:** Use the AI-identified next steps to automatically trigger follow-up emails or create tasks in your project management tool. Create a Unified Client Memory:** Connect your email and other communication platforms. Use Mem0 to parse and store every engagement, building a complete, holistic view of every client relationship. Build a Headless CRM:** Combine these workflows to build a fully AI-powered system that handles everything from lead capture to client management without any manual data entry. Copy the workflow and stop taking notes

How It Works The webhook receives incoming profiles and extracts relevant demographic, financial, and credential data. The workflow then queries the programs database to identify suitable options, while the AI generates personalized recommendations based on eligibility and preferences. A formal recommendation letter is created, followed by a drafted outreach email tailored to coordinators. Parsers extract structured data from the letters and emails, a Slack summary is prepared for internal visibility, and the final response is sent to the appropriate recipients. Setup Steps Configure AI agents by adding OpenAI credentials and setting prompts for the Program Matcher, Letter Writer, and Email Drafter. Connect the programs database (Airtable or PostgreSQL) and configure queries to retrieve matching program data. Set up the webhook by defining the trigger endpoint and payload structure for incoming profiles. Configure JSON parsers to extract relevant information from profiles, letters, and emails. Add the Slack webhook URL and define the summary format for generated communications. Prerequisites OpenAI API key Financial programs database Slack workspace with webhook User profile structure (income, GPA, demographics) Use Cases Universities automating 500+ annual applicant communications Scholarship foundations personalizing outreach at scale Customization Add multilingual support for international applicants Include PDF letter generation with signatures Benefits Reduces communication time from 30 to 2 minutes per applicant, ensures consistent professional quality

Social Media Intelligence Workflow with Bright Data and OpenAI Get a 360 Social media presence report for a person Who's it for Business development professionals, recruiters, sales teams, and market researchers who need comprehensive social media intelligence on individuals for lead qualification, due diligence, partnership evaluation, or candidate assessment. How it works Enter target person's details through the web form (name, company, location) AI Discovery Agent searches across selected platforms using name variations Profile validator verifies discovered profiles with confidence scoring Platform-specific agents analyze each profile using Bright Data MCP tools GPT-4 synthesizes all data into a comprehensive intelligence report Report automatically generated as formatted Google Doc with direct link Requirements Bright Data MCP account with PRO access (Get your Bright Data API key here) OpenAI API key (or alternative LLM provider) Google Drive OAuth connection for report delivery n8n self-hosted instance or cloud account How to set up Update Bright Data credentials: Find "Bright Data MCP" node (look for red warning note) Replace YOUR_BRIGHT_DATA_TOKEN_HERE with your actual token Update UNLOCKER_CODE_HERE with your unlocker code Update Google Drive settings: Find "Create Empty Google Doc" node Select target folder there Configure your LLM credentials (OpenAI or alternative) Test with your own name using "Basic" search depth Watch Youtube Tutorial How to customize the workflow Add platforms**: Extend the Switch node with new cases and create corresponding prompt builders Modify analysis depth**: Edit the platform-specific prompt builders to focus on different metrics Change report format**: Update the final LLM Chain prompt to adjust report structure Add notifications**: Insert Slack or email nodes after report generation Adjust confidence thresholds**: Modify validators to change profile verification requirements Alternative outputs**: Replace Google Docs with PDF, Excel, or webhook to CRM

Revolut Extracts Analyzer This n8n template processes Revolut statements, normalizes transactions, and uses AI to categorize expenses automatically. Use cases include detecting subscriptions, separating internal transfers, and building dashboards to track spending. How it works Get Categories from Supabase** Download & Transform** Loop Over Items** LLM Categorizer** Insert into Supabase** How to use Start with the manual trigger node or replace it with a schedule/webhook. Connect Google Drive to provide Revolut CSV files. Ensure Supabase has tables for transactions and categories. Extend with notifications, reports, or BI tools. Requirements Google Drive for CSV files Supabase tables for categories & transactions LLM provider (OpenAI/Gemini)

How it works Your WhatsApp AI Assistant automatically handles customer inquiries by linking your Google Docs knowledge base to incoming WhatsApp messages. The system instantly processes customer questions, references your business documentation, and delivers AI-powered responses through OpenAI or Gemini - all without you lifting a finger. Works seamlessly in individual chats and WhatsApp groups where the assistant can respond on your behalf. Set up steps Time to complete: 15-30 minutes Step 1: Create your WhapAround account and connect your WhatsApp number (5 minutes) Step 2: Prepare your Google Doc with business information and add the document ID to the system (5 minutes) Step 3: Configure the WhatsApp webhook and map message fields (10 minutes) Step 4: Connect your OpenAI or Gemini API key (3 minutes) Step 5: Send a test message to verify everything works (2 minutes) Optional: Set up PostgreSQL database for conversation memory and configure custom branding/escalation rules (additional 15-20 minutes) Detailed technical configurations, webhook URLs, and API parameter settings are provided within each workflow step to guide you through the exact setup process.

This workflow automates inventory management and predictive reordering for Shopify stores. It integrates Shopify, Google Sheets, and Slack to monitor inventory levels, calculate dynamic reorder points based on sales velocity, and automate supplier communication. The workflow helps prevent stockouts, reduces overstock, and streamlines the purchase order process with minimal manual intervention. Key Features Automated Inventory Monitoring:** Fetches real-time inventory, product, and order data from Shopify and Google Sheets. Predictive Reordering:** Calculates sales velocity and dynamic reorder points for each SKU. Supplier Communication:** Automatically generates and sends purchase orders (POs) to suppliers via email or API. Multi-Warehouse Logic:** Checks for possible stock redistribution before triggering new orders. Business Rule Enforcement:** Applies custom rules (MOQ, budget, business days, approval thresholds). Real-Time Alerts:** Notifies stakeholders via Slack about critical stock risks and slow-moving products. Comprehensive Logging:** Updates purchase order logs and analytics dashboards for full traceability. How to Configure Shopify Integration Create a Shopify Private App and obtain your API credentials (API key, password, and store URL). In n8n, set up Shopify credentials using these details. Google Sheets Integration Prepare three Google Sheets: Inventory Master: Contains SKU, product details, and ideal stock levels. Suppliers: Contains supplier contact information and SKU mapping. Purchase Order Log: Tracks all generated POs. Share these sheets with the Google account connected to n8n and set up Google Sheets credentials. Slack Integration Create a Slack Incoming Webhook for the channel where you want to receive alerts and summaries. Add the webhook URL to the relevant Slack nodes in the workflow. Supplier Communication For email: Configure the Email node with your SMTP credentials and supplier email addresses. For API: Set up HTTP Request nodes with supplier API endpoints and authentication as required. Workflow Parameters Adjust configuration nodes to set business rules such as: Reorder point multipliers Safety stock days Budget limits Minimum order quantities (MOQ) Approval thresholds Scheduling The workflow is set to run hourly by default. Adjust the trigger node as needed. Testing Run the workflow manually with test data to ensure all integrations and logic work as expected before enabling automation. How It Works Trigger: Runs automatically on an hourly schedule. Configuration: Sets business parameters (Shopify URL, reorder multipliers, safety stock days, budget, etc.). Data Collection: Retrieves inventory, product details, and recent orders from Shopify. Reads inventory master, supplier list, and PO log from Google Sheets. Data Merging: Combines all sources into a unified SKU-level dataset. Sales Velocity Calculation: Computes 7/30-day sales velocity for each SKU. Dynamic Reorder Point: Calculates reorder points based on sales velocity, lead time, and safety stock. Reorder Check: Identifies SKUs below their reorder point. Stockout Risk Assessment: Flags SKUs at high risk of stockout and sends Slack alerts. Warehouse Redistribution: Attempts to balance stock between warehouses before reordering. Supplier Data Enrichment: Adds supplier info and checks availability. Business Rule Checks: Validates business day, MOQ, promotional periods, budget, and approval needs. Order Calculation: Determines optimal order quantities and prioritizes by profitability. PO Structuring: Prepares PO line items and context for supplier communication. PO Dispatch: Sends PO via email or API to the supplier. PO Confirmation & Logging: Waits for confirmation and updates the PO log in Google Sheets. Slow-Mover Detection: Identifies slow-selling SKUs and sends actionable Slack suggestions. Inventory Update: Syncs inventory changes back to Shopify. Analytics & Reporting: Updates dashboards, scenario planning sheets, and accounting systems. Daily Summary: Aggregates and sends a daily activity summary to Slack. Example Use Case A Shopify retailer uses this workflow to automate inventory management. Every hour, the workflow checks current stock and sales trends, predicts which products are at risk of running out, and automatically creates purchase orders for suppliers. If a product is selling slowly, the system notifies the team with suggestions for discounts or bundling. All actions are logged and summarized daily, ensuring the team stays informed and inventory is always optimized. Prerequisites Shopify account with API access Google Sheets with inventory, supplier, and PO log sheets Slack workspace and webhook for notifications Supplier email/API endpoints for PO dispatch Limitations & Notes Customization may be required for specific business rules or supplier integrations. Ensure API credentials and sheet structures match the workflow’s configuration. Multi-warehouse logic assumes accurate warehouse-level inventory data. If you need further customization or have specific requirements for your business logic, adjust the configuration and node parameters accordingly.