Staging environment
Free Lesson

Evaluating AI Agents before Users Break Them

Part of The AI Evaluation Handbook

60 min
Feb 10, 2026 1:00 PM
Virtual (Zoom)

In this video

What you'll learn

How to tell if an AI agent is actually helping users

Learn what “working” actually means from a product perspective.

What signals show problems early

Spot early signs of confusion, inconsistency, or user trust issues.

What to check before shipping or expanding an agent

Use a simple checklist to decide ship, fix, or stop.

How to talk about agent performance with your team

Ask the right questions without needing deep technical detail.

How to iterate toward production using Langfuse insights

Turn observed behavior into concrete improvements and safer deployments.

Why this topic matters

AI agents rarely fail loudly. They slowly degrade, behave inconsistently, or erode user trust. Many product teams lack clear ways to evaluate agent behavior before users are affected. This session covers practical evaluation frameworks PMs can use to understand agent behavior, spot risks early, and make confident product decisions without relying only on engineering intuition.

You'll learn from

Aki Wijesundara, PhD

Aki Wijesundara, PhD

AI Founder | Educator | Google AI Accelerator Alum

Marc Klingen

Marc Klingen

Co-Founder & CEO of Langfuse

Lotte Verheyden

Lotte Verheyden

Developer Relations at Langfuse

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