Claude Cowork 101: Build Your First AI Data Analyst

Part of Build Your AI Product Analyst

Hosted by Shane Butler, Sravya Madipalli, and Hai Guan

Wed, Aug 26, 2026

5:00 PM UTC (1 hour)

Virtual (Zoom)

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

See what plugins and packages are in Claude Cowork

The building blocks that turn Cowork from a chat window into a real analytics workspace, in plain English.

Turn Cowork into an AI data analyst

Add the plugins and packages that let it read your data, run the analysis, and hand you an answer.

Run your first analysis with no terminal and no code

Ask a question, watch Cowork pull the trend and the chart, all in the browser.

Package it so your team can reuse it

Bundle your setup into a package others can install in one click, no setup marathon.

Why this topic matters

Building an AI analyst used to mean a terminal, a repo, and a setup marathon that lost most people before their first insight. Claude Cowork changes that. You assemble plugins and packages in the browser, point them at your data, and you have an analyst that reads, analyzes, and reports. This session shows you how to build that first analyst, run a real analysis with no code, and share it out.

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.

Sravya Madipalli

Senior DS Leader (Ex-Microsoft)

Sravya Madipalli is a Senior Manager of Data Science with 14+ years of experience helping teams make better decisions with data. She has built and led data science and product analytics teams at Microsoft, eBay, Nextdoor, and Superhuman (prev. Grammarly), working closely with product, engineering, marketing, and leadership. Her expertise spans experimentation, metrics design, modeling, analytics, and translating complex user behavior into clear, actionable insights.

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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