Learning teams face a mandate to deliver personalized, high-quality learning at the speed of modern business. However, many are hitting a plateau where basic AI prompting leads to disjointed workflows and "context drift." Designers may find themselves acting as manual bridges between isolated chatbots, struggling to maintain pedagogical excellence while managing high-volume demands. The current challenge isn't a lack of tools; it's a lack of infrastructure to make those tools work together as a cohesive system.

This session introduces a paradigm shift: Agentic Orchestration. Moving beyond isolated assistants, we will explore how to lead a collaborative ecosystem of specialized AI agents functioning as a unified digital workforce. By creating a multi-agent super-team, you can automate the heavy lifting of the learning design process, allowing data to flow seamlessly between phases. Grounded in real-world implementation, this approach provides the blueprint to move from manual task-masking to leading a sophisticated design operation that delivers quality at scale.

In this high-energy session, you will participate in a strategic draft to identify critical design bottlenecks and map the specific AI Agent roles required to solve them. We will then use vibe coding to show how platforms like Lovable or Builder.io allow you to build functional, multi-agent orchestration layers in minutes. You will leave with a practical roadmap to redefine your role as a digital architect.

In this session, you will learn to:

• Architect a multistep design workflow where specialized AI agents pass contextual data between design phases to ensure project-wide consistency
• Use vibe coding principles to customize specialized AI agents for high-value tasks like needs analysis and writing learning objectives
• Apply a human-in-the-loop orchestration process that leverages agentic workflows for heavy-duty content generation while maintaining final strategic control

This session is designed to be accessible to attendees without a computer science background or prior experience in software development.