video1.0<iframe src="https://www.loom.com/embed/eaf15f39e8934991873d27c23909c507" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/eaf15f39e8934991873d27c23909c507-08418971c6e3af2b.gif425.067In this video, I introduce Sentinel-G, a deterministic LLM reliability controller built on Datadog, designed to address the silent failures of LLMs that can lead to significant business impacts. I demonstrate how it detects hallucinations, quantifies the risk—like a potential loss of $122,638 in just 24 hours—and offers autonomous remediation options. The architecture includes a backend that classifies failures and recommends recovery actions, ensuring reliability without the need for training data. I encourage you to consider how LLMs can be transformed into trustworthy systems with Sentinel-G. Your feedback on this approach would be invaluable.