Notebooks for data haven’t meaningfully changed in more than a decade, so we rebuilt them completely, based on how data work is actually done. We're introducing a major evolution of the Zerve app in a clean, streamlined UI that brings the fluidity of notebooks together with the power of agentic execution, reproducible canvases, and real cloud compute.

Join the founders, Greg Michaelson, Phily Hayes, and Jason Hillary, for a live look at what’s new, why we built it, and how it unlocks a smoother, more intuitive workflow for everyone who works with data. We'll demo the new app, answer your questions live, and share behind-the-scenes insights.

What You'll Learn

• How the new Zerve Notebook improves stability, collaboration, and speed
• Understand why Zerve is blending notebook familiarity with agentic execution and reproducibility
• Watch a live demo showing faster workflows, better clarity, and smoother iteration
• Hear directly from the founders about the design decisions, roadmap, and what’s coming next

Notebooks were made for people, not for AI. Zerve rebuilt them for both. In this livestream, Greg Michaelson, Zerve Co-Founder and Chief Product Officer, chats with data science guru Joel Grus (of “I don’t like notebooks” fame), and unveils the latest Zerve release: a new kind of notebook where agents and humans collaborate in real time to go from question to deployed solution 10x faster. Learn how Zerve carries ideas from exploration to live apps and APIs — no rewrites, no orchestration tools, no context switching.

Data science isn’t the same as software engineering. The difference is context. In this livestream, we’ll unpack what “context” really means, why it matters for data science, and how it transforms how teams work. You’ll hear how leading companies use context-aware workflows to cut wasted effort, streamline collaboration, and move faster from idea to impact. We’ll also demo Zerve, the first AI development environment for data science, with context at its core.

Key takeaways:
- Why context is the missing ingredient in traditional AI coding assistants
- Real-world examples of context-aware workflows boosting productivity
- How context-aware AI agents keep hypotheses, data, and code aligned to avoid wasted cycles
- A live demo of Zerve’s context-first, agentic approach