Aki Wijesundara, PhD
Manu Jayawardana
Free Lesson

Design Evals That Catch Real Failures

30 min
Aug 31, 2026 5:30 AM

What you'll learn

Read production traces and cluster the failures

Group real errors by cause so you fix categories rather than one-off symptoms

Turn a cluster into a running assertion

Convert an observed failure into a check that runs on every future change.

Validate an LLM judge before trusting it

Test the grader against human labels so its scores mean something.

Why this topic matters

Most teams are running a vibe check and calling it evaluation. Someone tries a fewprompts, it looks fine, it ships. Then it fails in production in a way nobody thought to test.Real evals are built from actual failure traces, not from imagination, and that changesboth what you measure and how much you trust the result.

You'll learn from

Aki Wijesundara, PhD

Aki Wijesundara, PhD

AI Advisor | Educator | Google AI Accelerator Alum

Google
Meta
OpenAI
Amazon Web Services
NVIDIA
Manu Jayawardana

Manu Jayawardana

AI Founder | CEO at TAI Labs | Co-Founder of Snapdrum

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