Free Lesson
How You Catch Production Hallucinations in Real Time
Part of The AI Evaluation Handbook
60 min
Jul 30, 2025 1:00 PM
Virtual (Zoom)
In this video
What you'll learn
Build real-time hallucination detectors
Learn to implement monitoring systems that catch AI errors as they happen in live production environments
Debug production AI agent failures
Understand how to identify and troubleshoot broken agent behavior using real-world debugging techniques
Deploy monitoring with minimal code
Master adding detection systems to existing AI workflows using just a few lines of practical code
Why this topic matters
Production AI systems fail silently—hallucinating facts, missing key information, or breaking entirely. Without real-time monitoring, these failures reach users and damage trust. This lesson teaches you to catch problems before customers do, building the reliability skills that separate junior developers from senior engineers who ship production-ready AI.
You'll learn from

Jason Liu
Consultant at the intersection of Information Retrieval and AI
Julia Neagu
Co-founder & CEO, Quotient AI
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