Free Lesson
The Analytics Mindset Behind Effective AI Evals
Part of The Agent-Powered Super IC
30 min
Jun 24, 2026 3:00 PM
What you'll learn
Reframe AI evals as an applied data problem
Define behaviors, risks, and decisions instead of just chasing scores.
Use data science thinking to design better evals
Apply analytical skills and build more practical evaluations.
Connect offline evals to real-world product learning
Understand how evals and analytics work together to improve AI systems over time.
Why this topic matters
AI evals can feel like a brand-new discipline, but many of the core skills already exist in data science. Learning how to transfer those skills helps you move beyond surface-level scores and build evals that better reflect product goals, model behavior, and real-world performance.
You'll learn from
Stella Liu
Head of Applied Scientist, AI Evals
Previously at
