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Free Lesson
A Practical Breakdown of AI Agent Failures in Production
30 min
Jan 8, 2026 5:00 PM
Virtual (Zoom)
In this video
What you'll learn
How to identify common agent failure modes
Learn why agents hallucinate, loop, misuse tools, or fail silently in real production environments.
How to diagnose where agents break
Understand how to reason about failures across planning, tool use, memory, and execution boundaries.
How to design constraints and guardrails
Learn practical techniques to limit agent behavior using structure, stop conditions, and controlled tool access.
How to decide when not to use an agent
Understand when simpler workflows or deterministic systems are the better choice.
Why this topic matters
AI agents often shine in demos but struggle in real world use, looping, hallucinating, misusing tools, or behaving unpredictably. These failures rarely come from the model alone. This session breaks down agent failures as system design problems and shows how better structure, constraints, and safer failure modes lead to more reliable, controllable agents in production.
You'll learn from
Dr. Aki Wijesundara
AI Founder | Educator | Google AI Accelerator Alum
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