The shift is already underway: LLMs are being repurposed as strategic automation tools across sectors. It’s parsing SEC filings, modeling private valuations, and drafting investment memos inside firms like BlackRock, KKR, and even the U.S. Air Force. These aren’t chatbots. They’re persistent AI agents embedded into enterprise workflows. They work across documents, learn from feedback, and improve with every task like hyper-efficient interns that never sleep. But here’s the catch: These agents are only as smart as the data they’re built on. That’s why high-signal, structured, permissioned data is becoming the real competitive edge. ORO helps supply it, with quests that collect real user reasoning, decisions, and thought traces. Not scraped content. Not synthetic noise. The future of work depends on systems that can think with context and not just execute tasks, but understand goals, adapt to feedback, and improve over time. And context starts with people.