video1.0<iframe src="https://www.loom.com/embed/b250d11897f6406bb20bf5609669d8b9" frameborder="0" width="1388" height="1041" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>10411388Loomhttps://www.loom.com10411388https://cdn.loom.com/sessions/thumbnails/b250d11897f6406bb20bf5609669d8b9-ac635e7f94582ce5-full.jpg530.56In this video, I discuss a new approach to decision-making using a lightweight, multi-agent reasoning system that operates in parallel, allowing for diverse perspectives like strategy, creativity, and risk. This system shifts the focus from simply seeking answers to understanding the trade-offs involved in decisions. By simulating structured disagreements among agents, we can surface tensions and highlight important trade-offs, ultimately leading to more informed recommendations. I'm particularly interested in how interaction models evolve as we transition from single-agent to multi-agent systems. I encourage you to consider how this approach can enhance our decision-making processes.