Please bring more automation, like blog automation, social automation, youtube automation and lead scrapper etc

In this video, I’ll walk you through how to build an AI agent that handles customer support emails automatically. We’ll use n8n to connect Gmail, Pinecone (for vector storage), and an AI model so the agent can: - Classify and understand incoming emails - Pull context from Pinecone to reply with relevant information - Add labels or reply directly in Gmail By the end, you’ll have a working customer support AI agent that can scale with your inbox.

In this video, I break down how to build an AI Agent that can conduct deep research using Perplexity and OpenRouter. We’ll build this step-by-step together in n8n while testing out the agent's capabilities while exploring the use-case possibilities for this build. GOOGLE SHEET TEMPLATE

In this video, I provide a step-by-step breakdown on how to build an AI RAG Agent in n8n leveraging both Supabase and Postgres. We'll touch on how to set up your Supabase and Postgres credentials, how to create your own vector database in Supabase and insert documents into this database. By the end of the video you will have a fully functional RAG AI Agent which will allow you to chat with your own specific data that has been loaded into a Supabase Vector Store. Pets4Life PDF (Knowledge Base Template)