Beyond One-Shot AI: How to Design Context-Aware Agents

Most AI agents today are one-shot: they answer a question and forget. But the agents delivering real enterprise value run for minutes, hours, or days — completing multi-step tasks across tools and systems. That introduces challenges most teams aren't prepared for: state management, fault tolerance, and orchestration across long-running workflows.This session explores the design patterns required to build reliable context-aware agents. You'll learn how to persist state across steps, recover from failures gracefully, coordinate workflows across multiple tools, and monitor execution so agents can complete complex tasks over extended periods — without losing context or starting over when something breaks.You'll walk away with a practical blueprint for designing agents that move beyond one-shot answers — and deliver the kind of sustained, context-aware work that drives real business outcomes.