Coursera Spring Sale
40% Off Coursera Plus Annual!
Grab it
Learn how to build AI systems that compound intelligence across multiple agents in enterprise environments in this 25-minute conference talk. Discover why most current AI systems fail to maintain critical context and explore how decision traces and workflow context can unlock true agent autonomy. Examine the challenges of scaling AI agents safely within complex organizational structures, drawing from WRITER's pioneering work in orchestration and judgment systems. Understand the emerging concept of context graphs and their role in the industry's evolution toward more sophisticated AI implementations. Explore practical approaches to encoding real-world work processes, including decision-making frameworks, exception handling, supervision protocols, and accountability structures that enable AI agents to operate effectively in enterprise settings.
