video1.0<iframe src="https://www.loom.com/embed/cbf4bef7a9694a4ab6d2bee54c8701df" frameborder="0" width="1916" height="1437" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14371916Loomhttps://www.loom.com14371916https://cdn.loom.com/sessions/thumbnails/cbf4bef7a9694a4ab6d2bee54c8701df-3359d3d7b6e7ee74.gif381.259In this video, I discuss the critical importance of addressing silent drift in AI agents, particularly in highly regulated sectors like fintech, where it can lead to capital misallocation and regulatory exposure. I introduce Tenet (https://www.tenetai.dev) , our ghost SDK that captures an immutable reasoning ledger for every financial decision in just two lines of code. The standout feature is deterministic re-execution, allowing us to detect semantic drift before it impacts production. I emphasize that we can turn errors into valuable insights by generating a golden RLHF dataset for fine-tuning future models. I encourage you to explore how Tenet can enhance your compliance and performance in AI-driven decision-making.