In this video, I’ll show you how to build image-reading agents in Model HQ—fully on-device, private, and no-code. Once your models are downloaded, you can run vision workflows without Wi-Fi, keeping your data secure and local. We’ll start with a simple vision agent that can describe an image, then level up to a real-world extraction workflow—pulling a card number/serial-like ID directly from an image so it can be used in a larger enterprise process (like matching against a database). What you’ll see: Creating a new agent with the Visual Builder Adding an Image Input Node Connecting a Vision Model to answer questions about the image Testing with built-in sample images Extracting a specific value (e.g., “number only”) for downstream automation If you’re looking to build secure, practical AI workflows that combine images + agents, this is a great place to start. Subscribe for more Model HQ agent demos and enterprise workflows. #ModelHQ #LLMWare #OnDeviceAI #PrivateAI #LocalAI #NoCodeAI #AIAgents #RAG #SmallLanguageModels #SLM #EnterpriseAI #EdgeAI