Welcome to the AI Automation Network! This community will teach you how to build powerful AI automations and agents with step-by-step tutorials, ready-to-use templates, and proven systems you can use today. For all new members, please drop a comment below with a brief introduction. Include: - Your name - Where you’re from - Why you joined this community - Your goals for 2025 Let's welcome new members, build the future of AI together, and share our wins! P.S. I will be reaching out to you directly to see if you need any additional help! Cheers, Brennan

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’ll show you how to get started with n8n from scratch. We’ll cover: - What n8n is and why it’s different from other automation tools - How to set up your n8n account and walk through the pricing options - The basics of creating your first workflow and connecting services - How to use templates to quickly launch automations without starting from zero - By the end, you’ll have n8n up and running with your first automation live. 🚀 Perfect for beginners who want a simple, step-by-step intro to n8n and how to start building automations today.

In this video, I’ll explain everything you need to know about APIs, Webhooks, and reading API documentation when building AI agents. You'll learn the following: - What an API is, how they work, and how they are different from Webhooks - How to read API documentation and set up HTTP requests in n8n ⚡️ Great for anyone interested in building AI agents and looking to understand APIs and how to connect agents to third-party services!

In this video, I’ll walk you through how to engineer prompts that make AI agents and automations reliable at scale. You’ll learn step by step how to: - Write structured prompts that agents can follow without human oversight - Apply best practices like markdown formatting, one-task optimization, and reactive prompting - Design prompts for different use cases, from data extraction to decision-making By the end, you’ll know how to craft prompts that cut costs, reduce errors, and power scalable AI systems. ⚡ Perfect for builders, automation developers, or anyone serious about deploying AI agents in production.