In this Model HQ demo, I’ll show you how to build a no-code contract analyzer agent for real day-to-day work—perfect for reviewing agreements you see over and over again and extracting the same key terms every time. We’ll create a Music License Agreement agent that can answer questions like: Who are the parties to the agreement? What is the effective date? What is the royalty payment? Is there an advance payment (and how much)? You’ll see how Model HQ uses RAG + re-ranking to pull the most relevant text from the document and generate accurate answers—fully on-device, with no data leaving your laptop. Then we’ll take it one step further and run the agent in batch mode across multiple agreements and download the results. ✅ What you’ll learn: How to build a no-code contract analyzer agent How to connect RAG questions to a document How re-ranking improves answer quality How to run the agent on multiple contracts in batch How to export results for review and workflow automation That’s Model HQ—private, on-device AI made easy. 🚀 Learn more: https://llmware.ai #ModelHQ #LLMWare #OnDeviceAI #PrivateAI #LocalAI #NoCodeAI #AIAgents #RAG #SmallLanguageModels #SLM #EnterpriseAI #EdgeAI