Paul
Automation expert & n8n power user. I build advanced workflows combining AI, outbound, and business logic. Grab my templates or reach out for custom builds.
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Templates by Paul
AI-powered lead generation with Apollo, GPT-4, and Telegram to database
AI-Powered Lead Generation with Apollo, GPT-4, and Telegram to Database Overview This intelligent lead generation workflow transforms voice commands or text input into verified prospect lists through automated Apollo.io scraping. The system processes natural language requests, extracts search parameters using AI, and delivers clean, verified contact data directly to your database. Key Features 🎤 Voice & Text Input Processing Voice Recognition: Converts audio messages to text using OpenAI's transcription API Natural Language Processing: AI agent interprets requests and extracts search criteria Flexible Input: Supports both voice commands and text messages 🔍 Smart Lead Scraping Apollo.io Integration: Automated scraping using official Apollo.io API Dynamic URL Generation: Builds search URLs based on extracted parameters Intelligent Parsing: Processes location, industry, and job title criteria ✅ Email Verification & Filtering Verified Emails Only: Filters results to include only verified email addresses Duplicate Prevention: Compares against existing database to avoid duplicates Data Quality Control: Ensures high-quality prospect data 📊 Automated Data Management Database Integration: Automatic storage in PostgreSQL/Supabase Structured Data: Organizes contacts with complete profile information Real-time Updates: Instant database updates with new prospects How It Works Input Processing: Receive voice message or text command AI Analysis: Extract search parameters (location, industry, job titles) URL Construction: Build Apollo.io search URL with extracted criteria Data Scraping: Retrieve prospect data via Apollo.io API Email Verification: Filter for verified email addresses only Duplicate Check: Compare against existing database records Data Storage: Save new prospects to database Confirmation: Send success notification with count of new leads Supported Search Parameters Location: City, state, country combinations Industry: Business sectors and verticals Job Titles: Executive roles, departments, seniority levels Company Size: Organization scale and employee count Data Fields Extracted Contact Information First Name & Last Name Email Address (verified only) LinkedIn Profile URL Phone Number (when available) Professional Details Current Job Title Company Name Industry Seniority Level Employment History Location Data City & State Country Full Location String Company Information Website URL Business Industry Organization Details Technical Architecture Core Components n8n Workflow Engine: Orchestrates the entire process OpenAI Integration: Powers voice transcription and AI analysis Apollo.io API: Source for prospect data PostgreSQL/Supabase: Database storage and management API Integrations OpenAI Whisper API for voice transcription OpenAI GPT for natural language processing Apollo.io API for lead data retrieval Supabase API for database operations Use Cases Sales Teams Quickly build prospect lists for outreach campaigns Target specific industries or job roles Maintain clean, verified contact databases Marketing Professionals Generate targeted lead lists for campaigns Research prospects in specific markets Build comprehensive contact databases Business Development Identify potential partners or clients Research competitive landscapes Generate contact lists for networking Recruitment Find candidates in specific locations Target particular job roles or industries Build talent pipeline databases Benefits ⚡ Speed & Efficiency Voice commands for instant lead generation Automated processing eliminates manual work Batch processing for large prospect lists 🎯 Precision Targeting AI-powered parameter extraction Flexible search criteria combinations Industry and role-specific filtering 📈 Data Quality Verified email addresses only Duplicate prevention Structured, consistent data format 🔄 Automation End-to-end automated workflow Real-time database updates Instant confirmation notifications Setup Requirements Prerequisites n8n workflow platform OpenAI API access Apollo.io API credentials PostgreSQL or Supabase database Messaging platform integration Configuration Steps Import workflow into n8n Configure API credentials Set up database connections Customize search parameters Test with sample voice/text input Customization Options Search Parameters Modify location formats Add custom industry categories Adjust job title variations Set result limits Data Processing Customize field mappings Add data validation rules Implement additional filters Configure output formats Integration Options Connect to CRM systems Add email marketing tools Integrate with sales platforms Export to various formats Success Metrics Processing Speed: Voice-to-database in under 30 seconds Data Accuracy: 95%+ verified email addresses Automation Level: 100% hands-free operation Scalability: Process 500+ leads per request --- Transform your lead generation process with intelligent automation that understands natural language and delivers verified prospects directly to your database.
By PaulNatural language database queries with dual-agent AI & PostgreSQL integration
AI Database Assistant with Smart Query's & PostgreSQL Integration Description: 🚀 Transform Your Database into an Intelligent AI Assistant This workflow creates a smart database assistant that safely handles natural language queries without crashing your system. Features dual-agent architecture with built-in query limits and PostgreSQL optimization – perfect for commercial applications! ✅ Ideal for: SaaS developers building database search features 🔍 Database administrators providing safe AI access 🛡️ Business teams needing user-friendly data queries 📊 Anyone wanting ChatGPT-like database interaction 🤖 🔧 How It Works 1️⃣ User asks a question – "Show me top 10 popular products" 2️⃣ Main AI Agent – Interprets the request and ensures safety limits 3️⃣ SQL Sub-Agent – Generates precise PostgreSQL queries 4️⃣ Database executes – Returns formatted, limited results safely ⚡ Setup Instructions 1️⃣ Prepare Your Database Ensure PostgreSQL is accessible from n8n Note your table structure and column names Set up database connection credentials 2️⃣ Customize the Templates Replace [YOURTABLENAME] with your actual table name Update [YOUR_FIELDS] with your column names Modify examples to match your use case Important: Keep all LIMIT clauses intact! 3️⃣ Configure the Agents Copy Main Agent system message to your primary AI node Copy Sub-Agent system message to your SQL generator node Connect the sub-workflow between both agents 4️⃣ Test & Deploy Test with sample queries like "Show me 5 recent items" Verify query limits work (max 50 results) Deploy and monitor performance 🎯 Why Use This Workflow? ✔️ System Protection – Built-in limits prevent crashes from large queries ✔️ Natural Language – Users ask questions in plain English ✔️ Commercial Ready – Generic templates work with any database ✔️ Dual-Agent Safety – Smart interpretation + precise SQL generation ✔️ PostgreSQL Optimized – Handles complex schemas and data types 🚨 Critical Features Query Limits: Default 10, maximum 50 results (can be modified) Error Prevention: No unlimited data retrieval Smart Routing: Natural language → Safe SQL → Formatted results Customizable: Works with any PostgreSQL database schema 🔗 Start building your AI database assistant today – safe, smart, and scalable!
By PaulBuild an All-Source Knowledge Assistant with Claude, RAG, Perplexity, and Drive
📜 Detailed n8n Workflow Description Main Flow The workflow operates through a three-step process that handles incoming chat messages with intelligent tool orchestration: Message Trigger: The When chat message received node triggers whenever a user message arrives and passes it directly to the Knowledge Agent for processing. Agent Orchestration: The Knowledge Agent serves as the central orchestrator, registering a comprehensive toolkit of capabilities: LLM Processing: Uses Anthropic Chat Model with the claude-sonnet-4-20250514 model to craft final responses Memory Management: Implements Postgres Chat Memory to save and recall conversation context across sessions Reasoning Engine: Incorporates a Think tool to force internal chain-of-thought processing before taking any action Semantic Search: Leverages General knowledge vector store with OpenAI embeddings (1536-dimensional) and Cohere reranking for intelligent content retrieval Structured Queries: Provides structured data Postgres tool for executing queries on relational database tables Drive Integration: Includes search about any doc in google drive functionality to locate specific file IDs File Processing: Connects to Read File From GDrive sub-workflow for fetching and processing various file formats External Intelligence: Offers Message a model in Perplexity for accessing up-to-the-minute web information when internal knowledge proves insufficient Response Generation: After invoking the Think process, the agent intelligently selects appropriate tools based on the query, integrates results from multiple sources, and returns a comprehensive Markdown-formatted answer to the user. Persistent Context Management The workflow maintains conversation continuity through Postgres Chat Memory, which automatically logs every user-agent exchange. This ensures long-term context retention without requiring manual intervention, allowing for sophisticated multi-turn conversations that build upon previous interactions. Semantic Retrieval Pipeline The semantic search system operates through a sophisticated two-stage process: Embedding Generation: Embeddings OpenAI converts textual content into high-dimensional vector representations Relevance Reranking: Reranker Cohere reorders search hits to prioritize the most contextually relevant results Knowledge Integration: Processed results feed into the General knowledge vector store, providing the agent with relevant internal knowledge snippets for enhanced response accuracy Google Drive File Processing The file reading capability handles multiple formats through a structured sub-workflow: Workflow Initiation: The agent calls Read File From GDrive with the selected fileId parameter Sub-workflow Activation: When Executed by Another Workflow node activates the dedicated file processing sub-workflow Operation Validation: Operation node confirms the request type is readFile File Retrieval: Download File1 node retrieves the binary file data from Google Drive Format-Specific Processing: FileType node branches processing based on MIME type: PDF Files: Route through Extract from PDF → Get PDF Response to extract plain text content CSV Files: Process via Extract from CSV → Get CSV Response to obtain comma-delimited text data Image Files: Analyze using Analyse Image with GPT-4o-mini to generate visual descriptions Audio/Video Files: Transcribe using Transcribe Audio with Whisper for text transcript generation Content Integration: The extracted text content returns to Knowledge Agent, which seamlessly weaves it into the final response External Search Capability When internal knowledge sources prove insufficient, the workflow can access current public information through Message a model in Perplexity, ensuring responses remain accurate and up-to-date with the latest available information. Design Highlights The workflow architecture incorporates several key design principles that enhance reliability and reusability: Forced Reasoning: The mandatory Think step significantly reduces hallucinations and prevents tool misuse by requiring deliberate consideration before action Template Flexibility: The design is intentionally generic—organizations can replace [your company] placeholders with their specific company name and integrate their own credentials for immediate deployment Documentation Integration: Sticky notes throughout the canvas serve as inline documentation for workflow creators and maintainers, providing context without affecting runtime performance System Benefits With this comprehensive architecture, the assistant delivers powerful capabilities including long-term memory retention, semantic knowledge retrieval, multi-format file processing, and contextually rich responses tailored specifically for users at [your company]. The system balances sophisticated AI capabilities with practical business requirements, creating a robust foundation for enterprise-grade conversational AI deployment.
By PaulGet Real-time Stock Analysis and Rankings with Danelfin's AI Analytics API
Danelfin MCP Server About Danelfin Danelfin is an AI-powered stock analytics platform that helps investors find the best stocks and optimize their portfolios with explainable AI insights to make smarter, data-driven investment decisions. The platform uses AI-driven stock analytics to optimize investment strategies. Danelfin uses Explainable Artificial Intelligence to help everyone make smart and data-driven investment decisions. The platform provides API solutions for developers, analysts, and fintech firms wanting to integrate predictive stock data into their own applications. Key Features AI Stock Picker: Advanced algorithms to identify high-potential stocks Portfolio Optimization: Data-driven portfolio management and optimization tools Explainable AI: Transparent AI insights that show reasoning behind recommendations Predictive Analytics: AI Scores and forecasting capabilities Multi-Asset Coverage: Analysis of stocks and ETFs across various markets MCP Server Endpoints This Danelfin MCP (Model Context Protocol) server exposes three main endpoints that provide comprehensive market analysis capabilities: 🏆 /ranking Endpoint GET: https://apirest.dan... The ranking endpoint provides AI-powered stock rankings and ratings. This tool allows users to: Access ranked lists of stocks based on AI-generated scores Retrieve performance rankings across different timeframes Get comparative analysis of stock performance Access predictive AI scores for investment decision-making 🏭 /sectors Endpoint GET: https://apirest.dan... The sectors endpoint provides analysis for US market stocks including AI ratings, prices, stock charts, technical, fundamental, and sentiment analysis organized by market sectors. Features include: Sector-wise market analysis and performance metrics AI ratings and price data for sector classifications Technical and fundamental analysis by sector Sentiment analysis across different market sectors Comparative sector performance insights 🏢 /industries Endpoint GET: https://apirest.dan... The industries endpoint offers granular industry-level analysis within market sectors: Industry-specific stock analysis and ratings Performance metrics at the industry classification level AI-powered insights for specific industry verticals Comparative industry analysis within sectors Industry trend analysis and forecasting Integration Benefits This MCP server enables seamless integration of Danelfin's AI-powered stock analysis capabilities into applications and workflows. Users can: Access Real-time Data: Get up-to-date stock rankings, sector performance, and industry analysis Leverage AI Insights: Utilize explainable AI recommendations for investment decisions Streamline Research: Automate stock research workflows with comprehensive market data Enhance Decision-Making: Make data-driven investment choices with predictive analytics Scale Analysis: Process large-scale market analysis across multiple dimensions Use Cases Investment Research: Comprehensive stock analysis and ranking for portfolio managers Algorithmic Trading: Integration of AI scores into trading algorithms and strategies Financial Advisory: Enhanced client advisory services with AI-powered insights Risk Management: Sector and industry analysis for portfolio risk assessment Market Analysis: Real-time market intelligence for institutional investors The Danelfin MCP server bridges the gap between advanced AI stock analytics and practical investment applications, providing developers and financial professionals with powerful tools for data-driven market analysis.
By PaulAutomate stock trades with AI-driven technical analysis & Alpaca Trading
📊 AI-Powered Stock Analysis & Auto-Trading Workflow Supercharge your trading decisions with this end-to-end AI automation that connects market intelligence, technical analysis, and automated trade execution — all without manual intervention. --- My results so far: (100k paper trading account with the current template strategy) 🚀 What This Workflow Does Live AI-Driven Market Scanning Integrates with Danelfin’s AI scoring system to identify top stocks daily based on technical, fundamental, sentiment, and risk scores. Advanced Technical & Trend Analysis Combines chart patterns, Fibonacci retracements, Bollinger Bands, MACD, RSI, EMA trends, and support/resistance detection with real-time news sentiment to produce clear, professional-grade analysis reports. Chart Image AI Analysis Uses LLM-powered vision models to interpret candlestick charts visually and extract pattern, trend, and indicator insights. Automated Trade Execution Integrates with Alpaca Paper Trading API for secure, rule-based buy/sell execution. Includes: Risk management (position sizing, stop-loss/take-profit) Account balance & buying power checks No-repeat-loss policy Data Storage & Strategy Memory Logs trades, PnL, and objectives in PostgreSQL for ongoing strategy refinement. Automated Reporting Sends deep-dive market and trade reports directly to your email. --- 🔗 Integrated Services Danelfin API – AI-based stock ranking Supabase Vector Store – Strategy and knowledge retrieval TwelveData API – Market prices & indicators Chart-img API – TradingView chart generation Alphavantage – News sentiment feed Alpaca API – Automated order execution OpenAI, Anthropic, Cohere, OpenRouter – Multi-model AI reasoning --- 📥 Perfect For Quantitative analysts testing strategies Investors looking for data-backed, automated execution Educational environments for learning AI-based market strategies People that want to know Real results Results --- 💼 What You Get Full Setup Pre-configured n8n workflow with all nodes and logic ready to run Step-by-step API key integration guide for Danelfin, Alpaca, TwelveData, Alphavantage, Chart-img Database logging setup with PostgreSQL schema Automated email reporting template Detailed Description Explanation of every sub-agent and AI integration How the strategy agent selects stocks based on AI scores and past trades Deep technical indicators breakdown (EMA, RSI, MACD, Fibonacci, Bollinger, Support/Resistance) Risk management methodology and allocation rules Examples Daily Automated Analysis: Every morning the system emails you the top 3 stocks to watch, with price, chart, and sentiment score Trade Execution: System buys AAPL with a defined stop-loss and take-profit based on technical setup Chatbot Mode: Ask “What’s the trend on TSLA?” and get a concise, professional-grade market report instantly --- 💡 Why You’ll Love It This isn’t just an automation — it’s a full-stack AI trading assistant that thinks, analyzes, and executes while keeping risk in check. From sourcing the idea to placing the trade, it’s all covered. --- 🔑 Get Started Replace the placeholder API keys, set your trading preferences, and let the automation do the heavy lifting.
By PaulAutomate email categorization & response generation with Gmail & GPT-4
Gmail AI Email Manager - Setup Guide 🎯 Workflow Overview This workflow will create an intelligent Gmail email manager that can: Monitor incoming emails via webhook Analyze email content using AI Categorize emails automatically Generate smart responses Take actions based on email content Send notifications for important emails 📋 Pre-Setup Checklist Before we build the workflow, let me gather the necessary information and validate our approach. Phase 1: Discovery & Planning [ ] Search for Gmail nodes [ ] Find AI analysis nodes [ ] Identify webhook trigger options [ ] Check notification nodes Phase 2: Configuration Requirements [ ] Gmail API credentials [ ] AI service (OpenAI/Claude) API key [ ] Webhook URL setup [ ] Email classification rules 🔧 Setup Instructions Step 1: Gmail API Setup Go to Google Cloud Console Create new project or select existing Enable Gmail API Create OAuth 2.0 credentials Add authorized redirect URI: https://your-n8n-instance.com/rest/oauth2-credential/callback Step 2: AI Service Setup Choose one of the following: OpenAI: Get API key from platform.openai.com Claude: Get API key from console.anthropic.com Local AI: Set up Ollama or similar Step 3: n8n Credentials Gmail OAuth2: Add client ID, secret, and scopes AI Service: Add API key Webhook: Configure webhook URL Gmail AI Email Manager - Setup Guide 🔧 Quick Setup Checklist Google Cloud Console [ ] Enable Gmail API [ ] Create OAuth2 credentials [ ] Add redirect URI: https://your-n8n.com/rest/oauth2-credential/callback [ ] Set up Gmail push notifications with Pub/Sub API Keys [ ] Get OpenAI API key from platform.openai.com [ ] Create Google Sheets for logging (optional) n8n Credentials [ ] Gmail OAuth2: Client ID, Secret, Scopes: gmail.readonly,gmail.modify,gmail.compose [ ] OpenAI API: Your API key Gmail Labels (Create these) [ ] URGENT (red) [ ] IMPORTANT (orange) [ ] PROMOTIONAL (purple) [ ] PERSONAL (green) [ ] WORK (blue) [ ] SPAM (gray) Update Workflow Values [ ] High Priority Alert: Change notification email [ ] Spreadsheet Log: Update sheet ID (if using) [ ] Webhook: Copy URL after saving workflow Test [ ] Save & activate workflow [ ] Send test email to Gmail [ ] Check execution log [ ] Verify auto-categorization works That's it! Your AI email manager is ready! 🚀
By PaulCreate SEO-optimized WordPress blogs automatically with Perplexity & Google Trends
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.
By PaulAI-powered WhatsApp customer service with GPT-4, smart routing & knowledge base
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.
By PaulChat with documents via RAG: Google Drive to GPT-5 with Supabase vector database
📄 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.
By PaulBusiness AI command center: Modular agents for Google Workspace, vector search & multi-channel reports
🚀 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<br />• Delegates to specialized agents<br />• Delivers results through your preferred channel | | Knowledge Agent | Company-wide research assistant | • Vector-searches your Supabase docs instantly<br />• Runs live SQL queries for real-time numbers<br />• Hunts & parses Drive files automatically<br />• 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<br />• Transcribes audio/video content<br />• Describes images with GPT-4o Mini | | Vector Store Loader | Long-term memory system | • Auto-chunks new files<br />• Creates OpenAI embeddings<br />• 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<br />• 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. ---
By PaulComplete B2B sales pipeline: Apollo lead gen, Mailgun outreach & AI reply management
✉️ AI-Powered 3-Step B2B Pipeline — Lead Gen → Cold Outreach → AI Drafted Email Management Automate your outbound workflow from prospecting to AI-generated reply drafts in Gmail — all fully integrated with your database. Ideal for SDRs, founders, and growth agencies who want speed, personalization, and control without losing human review. 📌 Example: From a verified lead list to a qualified opportunity — fully tracked, classified, and pre-drafted with this automation. --- 🚀 What This Workflow Does Step 1 — Lead Generation Import leads from Apollo. Enrich and verify emails. Store results in Supabase/Postgres, Step 2 — Cold Outreach Send 3 step personalized sequences via Mailgun/SendGrid. Track delivery, opens, replies, and bounces directly in your DB. Step 3 — Email Management (AI Drafts) Process only incoming Gmail messages from contacts in your DB. Generate personalized reply drafts, label threads, update lead status, and alert your team via Slack/Telegram. --- 🔗 Integrated Services Database: Supabase/Postgres Outbound Email: Mailgun / SendGrid Inbound Email & Drafts: Gmail (OAuth2) AI Models: OpenAI / Anthropic (JSON mode for classification + drafting) Alerts: Slack / Telegram (optional) --- 💼 What You Get Detailed setup guide Fully connected 3-step pipeline in n8n Ready-to-use database schema Pre-built AI prompts for intent classification and professional replies --- 📥 Perfect For SDR teams doing targeted outbound Agencies managing multiple client campaigns Founders building scalable outbound systems Sales ops needing a no-risk, review-first reply process --- 💡 Why You’ll Love It This isn’t just another outreach template — it’s a full sales engine. From verified leads to AI-drafted replies, every action is logged, tracked, and controlled for maximum conversions without sacrificing oversight.
By PaulAutomate HighLevel CRM with GPT-5, knowledge retrieval & document context
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.
By Paul