{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/6e9842fb18a74efa8b12e4e0a8fcb8ab\" frameborder=\"0\" width=\"1646\" height=\"1234\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1234,"width":1646,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1234,"thumbnail_width":1646,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/6e9842fb18a74efa8b12e4e0a8fcb8ab-30ff277e695b5f83.gif","duration":136.237,"title":"Innovative Multimodal Reasoning Agent for Welding Systems Explained 🔧","description":"In this video, I present my multimodal reasoning agent designed for the Omni Pro 220 welding system. The core idea is to transform a 40-page manual into structured knowledge, including text notes, tables, procedures, diagrams, and their relationships. I demonstrate how the agent retrieves information and simulates machine states, providing visual artifacts instead of just text. For example, I show how it responds to queries about polarity in TIG welding and duty cycle specifications, rendering diagrams and thermal limits. I encourage you to explore the code base and request a live demo for a deeper understanding."}