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Sort your Gmail automatically with a 100% local AI workflow built in n8n and Ollama. No API keys, no cloud, and your emails never leave your computer. In this video I walk through an 8-node n8n workflow that connects the Gmail API to a local Ollama model. Every morning at 6 a.m. it pulls new inbox emails, asks the local model which label fits, applies that label, and clears the email out of the inbox — so your inbox stays clean without you reading a single message. This is the second, cleaner version of my local email-sorting workflow. The first version was messy, so this one is stripped down to eight nodes anyone can follow. What you'll learn: - How to build an n8n + Gmail + Ollama workflow from scratch - Why host.docker.internal:11434 matters when n8n runs in Docker - Picking a small local model (Qwen 2.5 1.7B / llama 3.2) that fits your GPU - Why local inference is slower but safer for finance, legal, or classified email - The loop that processes up to 50 emails per run If this was useful, like and subscribe — I publish a new workflow clip every week. Download the workflow file: https://peakaiprocess.com Use local Ollama for automated email sorting. Build a private 8-node workflow that organizes your inbox without data leaving. If you want to manage your inbox with privacy, this guide walks you through building an automated email sorting system. By combining the Gmail API with local Ollama, you create a private pipeline that runs perpetually on your machine. This setup is ideal for anyone who wants to categorize messages automatically while keeping their data strictly on their own hardware. This video details the step-by-step process of configuring your 8-node workflow. You will learn how to connect the Gmail API and local Ollama to ensure your email workflow remains functional and efficient without any ongoing subscription costs. This no cost automation approach gives you full control over your data processing logic. Subscribe for weekly AI automation breakdowns, and comment below if you want to see more tutorials on running LLMs locally. Get vidIQ to grow your channel faster! 🚀 https://vidiq.com/peak

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