Staging environment
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

Jason Liu

Consultant at the intersection of Information Retrieval and AI

Julia Neagu

Julia Neagu

Co-founder & CEO, Quotient AI

worked with

Quotient AI
Stitch Fix
Meta
University of Waterloo
New York University
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