✨ $500 AI Visibility Audit — live at Spurlock Studios. Book the audit

Marketing

Ask Alex | Alex Hormozi Motivation AI

This n8n workflow powers an AI assistant (SMO+Growth Managerial) that utilizes a RAG approach. It continuously updates its knowledge base by ingesting Google Drive documents into Pinecone, then uses Gemini to respond to chat queries with context-aware, platform-specific content…

Built · ~9 hours saved per week

AI-Powered "Ask Alex Hormozi" Content Assistant This workflow creates a sophisticated, two-part AI system. The primary function is a conversational AI agent designed to act as a social media and growth assistant, specifically trained to generate content in the style of Alex Hormozi. It achieves this by first automating the creation of a knowledge base from documents in a Google Drive folder and then using that knowledge to power a conversational AI that crafts platform-specific social media posts. Core Automation & Technologies What it Automates - Knowledge Base Management: Automatically ingests new or updated documents (e.g., transcripts, notes, articles) from a specific Google Drive folder, processes them, and adds them to a searchable AI memory. This eliminates the manual effort of keeping the AI's knowledge current. - Content Generation: Automates the creation of high-quality, targeted social media posts. A user can simply provide a topic or idea in a chat interface, and the AI will generate a complete post, including title, content, and hashtags, tailored for platforms like LinkedIn. - Research & Synthesis: The AI automates the process of researching topics within the provided company documents, synthesizing the relevant information to produce accurate and context-aware responses. Technologies Used - n8n: The automation platform coordinating the entire process. - Google Drive: Serves as the content repository and trigger source for updating the knowledge base. - Pinecone: A vector database used to store and efficiently retrieve information from the source documents, acting as the AI's long-term memory. - Google Gemini: The core AI model used for two key tasks: 1. Language Model (LLM): Powers the agent's reasoning, conversation, and content generation. 2. Embeddings Model: Transforms text into numerical vectors for storage and semantic search in Pinecone. - LangChain: The underlying framework (used via n8n's LangChain nodes) that connects the LLM, memory, and tools into a cohesive and powerful AI agent.

Tags: Chatbot, Webhook Trigger, RAG, Voice AI, Google, Webapp

Integrations: Vector Store, AI Agent, Google Drive, Google Gemini

Related automations

Back to the Automation Library