Increasingly, people can't explain what their agents did for them. We built Sundial so humans stay at the center of the work: a collaborative workspace where humans and agents edit the same files live, and every change can be reviewed at an exact level of granularity.
AI systems are becoming autonomous research agents, and the verification gap between scientific output and our ability to check it is widening. We argue science must evolve its verification infrastructure: observable-by-default workflows, tiered verification, and clear attribution.