Teams | Collaboration | Customer Service | Project Management

See how Model Context Protocol (MCP) and AI can turn complex codebases into clear, understandable diagrams. This demo showcases a powerful "code-to-diagram" workflow using VS Code and GitHub Copilot. Watch two real-world scenarios: This is perfect for documenting existing systems, understanding complex code, and accelerating new engineer onboarding. Chapters.

From operating rooms to real-time dashboards—discover how Proximie is transforming healthcare with AI and visual collaboration. By combining Miro's visual workspace with AI-powered prototyping tools, Proximie is enabling healthcare workers to maximize operating room utilization and deliver better patient care. The Challenge: Operating rooms generate massive amounts of analog data, but lack real-time intelligence to help healthcare teams optimize these precious assets.

Watch as we go from a simple Miro board to a fully functional, live-updating web app in under 4 minutes! This end-to-end demo showcases the power of the Model Context Protocol (MCP) and its AI capabilities.

Introducing Miro for Product Acceleration—the industry's first comprehensive solution that ensures AI accelerates product teams together from idea to outcome. Announced at Canvas 25, this suite addresses three critical challenges: connecting strategy to execution, building the right products, and maximizing AI coding tool investments.

Join Jen Clark, Senior Training Lead at Miro, alongside prominent Miro community members for an authentic discussion about how real teams leverage the platform to achieve exceptional results. This special panel features Harrison Plowright, Associate Director of Experience & Digital at Omnia (Globant), Jonathan White, Founder & CEO of Hiro Studio, and Paulina Rozalia Wiklo, Lead Product Strategist at WebPros.

Ever wondered how you can turn your detailed Miro board designs into a functional application almost instantly? In this demo, we showcase a revolutionary workflow that does exactly that. Watch as we use a powerful Gemini AI CLI to analyze a complete Miro board for a "Kids Banking App", including the product brief, user flows, and UI designs. The AI agent then scaffolds an entire Next.js project, writes the components, sets up styling with Tailwind CSS, and builds a working prototype from scratch.