video1.0<iframe src="https://www.loom.com/embed/30a301bb8d524f40aa855e2a9e68c3a9" frameborder="0" width="1908" height="1431" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14311908Loomhttps://www.loom.com14311908https://cdn.loom.com/sessions/thumbnails/30a301bb8d524f40aa855e2a9e68c3a9-591cfc9e1c29e6e3.gif87.809In this video, I discuss the importance of avoiding slow execution in research and innovation, which often leads to pursuing the wrong direction for too long. To address this, we've developed an AI-powered external signal agent that evaluates startup ideas before committing time and resources, analyzing real-world data to measure risk early. For instance, it assesses competition density, market saturation, and organic demand signals to provide a risk factor for each idea. I encourage you to consider how this tool can help us identify high-risk ideas and improve our decision-making process. Let's leverage this technology to enhance our innovation strategy.