{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/eaf15f39e8934991873d27c23909c507\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/eaf15f39e8934991873d27c23909c507-08418971c6e3af2b.gif","duration":425.067,"title":"Enhancing LLM Reliability with Sentinel-G: A Game Changer for Trust and Performance","description":"In 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."}