Stella Liu
Free Lesson

How to Trust Your Analytics Agent?

Part of The 2027 Shortlist

30 min
Nov 13, 2026 2:00 PM

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What you'll learn

Why analytics agents are hard to trust

Fast answers aren’t enough. See how agents return confident results that are quietly wrong.

Turn SQL correctness into measurable evals

Define what “right” means for a query: correct result, sound logic, and the right business meaning.

Watch evals run on a text-to-SQL agent live

See test cases, graders, and results that show exactly where the agent breaks.

Decide when your analytics agent is trustworthy

Use eval results to set what ships, what needs human review, and what to monitor.

Why this topic matters

Every team wants AI agents they can trust with real work, and analytics is where trust matters most. Text-to-SQL is the classic test: often the first use case analysts and engineers try, yet no one has solved it perfectly. A query that runs is not a query you can trust, and one wrong result quietly corrupts every decision built on it. AI evals are how you verify it. Let’s walk through a live demo.

You'll learn from

Stella Liu

Stella Liu

Head of Applied Scientist, AI Evals

Previously at
Shopify.com
Carvana
Harvard University
UT Austin
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