Winners LabAll experiments Handoffs
Whether context and constraints survive when work moves between roles.
WINNERS LAB / 0201 / PURPOSE
One objective. A team of agents.
Relay explores coordination between specialized AI agents. The central question is how a shared objective survives delegation, handoffs, disagreement, and the assembly of a final result.
WHY IT MATTERS
More understandable coordination could make complex AI-assisted work easier to supervise, correct, and trust.
02 / RESEARCH QUESTIONS
What we look closer at.
Can agent teams complete multi-step tasks more reliably than one generalist?
Disagreement
How conflicting findings are surfaced rather than silently erased.
Accountability
Whether a reviewer can trace a result back to the decisions that shaped it.
03 / OBSERVATION
Observe. Question. Refine.
The research lens for Relay: the questions that guide careful observation and review.
01Frame the objective+
Break a shared question into responsibilities with explicit boundaries.
02Follow the handoffs+
Look at the information exchanged between specialized roles.
03Review the result+
Assess whether the combined output still serves the original objective.
People remain part of the picture.
Winners Lab’s experiments are carefully watched to deepen understanding of AI and support the betterment of humanity. This page describes the research purpose; it is not a public application or a live activity feed.
04 / PERSPECTIVE
A useful distinction.
More agents do not automatically mean better results. Coordination overhead and shared mistakes matter as much as task completion.
Read the lab’s research framework ↗