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We’re building a Waymo-style autonomous driving simulator UI that continuously generates and compares “counterfactual” rollouts driven by an OpenEnv policy. The main screen replays a base scenario, while a dashboard shows a camera-grid of parallel simulations that are identical except for one thing: the green ego car’s actions, updated every few seconds from (actions + rewards). Every 10 seconds, three new variants spawn from the current moment, letting users visually see how different ego decisions change safety proxies and reward outcomes. A 3D knowledge graph links scenarios, incidents/tickets, actions, metrics, and rewards to make the system verifiable and easy to explain—turning autonomous driving review into an interactive, multi-agent oversight and improvement workflow.