With the rapid expansion of AI tools 🚀, every organization is asking the same question: “Which LLM is the smartest?” We debate the raw reasoning capabilities of Claude vs. Rovo vs. Gemini, trying to crown a single, ultimate winner. But what if we’re asking the wrong question entirely? 

The truth is, most companies use multiple AI models. The real differentiator isn’t just raw LLM intelligence - it’s context, integration, and the underlying systems of record that coordinate our daily tasks. That gives Atlassian the edge - or so they claim.

Let's test that assumption. 

Join us at the San Francisco Atlassian Community Events (ACE) chapter 🌉 for a high-impact, in-person exploration of Rovo’s capabilities. We are moving past the theoretical slides for a tangible, hands-on demonstration. We’ll address the hard questions head-on: How does Rovo leverage Atlassian's data layer to drive real-world execution, and where does it sit among the suite of AIs your company already uses? 

This session is designed for Atlassian users, admins, and leaders who want to discover how to deploy distributed AI agents 🤖 that do what they are best at - at a lower price point and with fewer assumptions than general-purpose LLMs.