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Free Lesson

OpenAI Data Agent Live: Interactive Analytics Lab

Hosted by Shane Butler and Hai Guan

Wed, Sep 23, 2026

5:00 PM UTC (1 hour)

Virtual (Zoom)

Free to join

199 students

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Automate AI Evals with Claude Code
Shane Butler
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What you'll learn

THIS IS AN OPEN-ENDED LAB (not a lecture or demo)

You will be working with us hands-on. Together, we will choose questions, test the data agent, and decide where we go.

Run OpenAI's NEW data agent on your actual work

Run a real company question through the agent using your approved data or the dataset we provide.

Try to make it fail

Hit it with fuzzy metrics, conflicting context, leading questions, and answers we already know.

Find what work it could actually take off your plate

Find the parts of analysis it can speed up, deepen, or repeat without creating more cleanup for you.

Decide what you would trust it to do

Leave knowing what you would delegate, what you would review, and what you would keep human.

Why this topic matters

OpenAI’s new data agent in ChatGPT Work can go from company data to answers, charts, and dashboards. We want to know what happens when the work gets messy. Bring approved company data or use ours. Together we’ll hit it with fuzzy metrics, conflicting context, leading questions, and known answers, then find where it helps, where it fails, and what you would actually trust it to do.

You'll learn from

Shane Butler

Co-founder, AI Analyst Lab

Shane Butler is a Co-Founder of the AI Analyst Lab. Previously he led evaluation strategy for AI product development in the legal tech domain. He has more than ten years of experience in product data science and causal inference, with prior roles at Stripe, Nextdoor, and PwC. Shane is also the co-host of the AI podcast Data Neighbor, where he interviews product, data, and engineering leaders who are pioneering the next generation of data science and analytics in an AI-driven landscape.

Hai Guan

Head of Data at Ontra, Ex-LinkedIn

Hai Guan leads the data organization at Ontra, the leading legal tech AI solutions for private markets. He previously led Data Science & Analytics at LinkedIn, Nextdoor, Pinterest, and Meta. He's spent a decade teaching product development teams how to ask questions that actually drive decisions—and now teaches how to combine that judgment with AI to move 10x faster.

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