AI is transforming live video, but the real breakthroughs happen when AI is integrated into workflows that already understand timing, state, quality, failure modes, and scale.

This workshop explores best practices for applying AI to live video workflows, grounded in a core principle: Context is king. We’ll examine why live video presents unique challenges for AI and why workflow- and context-aware design is critical for production readiness.

Topics include using Large Language Models and custom Model Context Protocol (MCP) servers to preserve operational context, reducing the cognitive and technical load placed on AI models, and enabling agentic AI to act safely within clearly defined boundaries.You’ll see examples of production-ready workflows and dashboards generated by Norsk Studio and our custom MCP servers, as well as how Timbra, CaptionHub’s real-time localization suite, integrates into live production pipelines to deliver frame-accurate multilingual captioning, transcription, and AI-powered summaries, without compromising synchronization, workflow stability, or production reliability.

If you’re designing or operating live video systems and want to leverage AI in ways that move beyond demos into reliable production use, this workshop will show you how to architect for it. (And don’t worry, there still needs to be a human in the loop — for now …)