Real-Time Agents Build Evening - Build Night

An agent is only as good as its model of reality , and reality moves. That gap is where a lot of the most interesting work is happening, across both research and production. A few threads worth building on: Keeping a live world model. The earliest versions of this idea - systems that watch the world and act when a condition is met - go back a decade, but they were narrow and hand-specified. Capable models are generalizing them into always-on agents that hold a current picture of a market, a competitive landscape, or a regulatory environment, and act the moment it shifts. Grounding. The path to agents you can actually trust runs through verifiable, current information: attribution, re-verification, retrieval that reflects today rather than a memorized snapshot. Closing the gap between fluent and correct is one of the field's most valuable open problems. Acting, not just reading. The frontier moved from agents that summarize a page to agents that operate on the live web — comparing, booking, and transacting against real prices and real inventory, the agentic-commerce wave now taking…