video1.0<iframe src="https://www.loom.com/embed/afa4f030f6bf421daa1b07be2c304d59" frameborder="0" width="1658" height="1243" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12431658Loomhttps://www.loom.com12431658https://cdn.loom.com/sessions/thumbnails/afa4f030f6bf421daa1b07be2c304d59-ade18966bbe93af8.gif57.109333This Loom explains how Ontofield built an engine that turns an open question into a structured dataset. It describes taking a question, converting it into a PRD that defines the expected extraction, and then running that extraction using Vultr Serverless Inference in an isolated environment built with NetBear and Vultr. The engine identifies relevant sources within that isolated setup, iterates with the internet to fetch all data, structures it, and makes the results visible in the Ontofield platform for visualization.