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"Agent Experience," or AgentEx, represents the evolution of experience design, shifting focus from human users (UX) and developers (DevEx) to autonomous AI agents. This new discipline addresses the unique needs of AI agents as they increasingly interact with and build digital systems, emphasizing the importance of creating environments and interfaces that agents can effectively understand and utilize. Key trends driving AgentEx include the rise of agent-to-agent communication standards like the Model Context Protocol (MCP), the transition from AI models as endpoints to agents as goal-directed system-level abstractions, and the critical need for observability and governance to manage agent behavior. Ultimately, designing for AgentEx is crucial for businesses to ensure high agent success rates, reduce errors, and foster safe, predictable automation, leading to a new "agentic economy"where AI agents autonomously produce value and drive business outcomes.
"Agent Experience," or AgentEx, represents the evolution of experience design, shifting focus from human users (UX) and developers (DevEx) to autonomous AI agents. This new discipline addresses the unique needs of AI agents as they increasingly interact with and build digital systems, emphasizing the importance of creating environments and interfaces that agents can effectively understand and utilize. Key trends driving AgentEx include the rise of agent-to-agent communication standards like the Model Context Protocol (MCP), the transition from AI models as endpoints to agents as goal-directed system-level abstractions, and the critical need for observability and governance to manage agent behavior. Ultimately, designing for AgentEx is crucial for businesses to ensure high agent success rates, reduce errors, and foster safe, predictable automation, leading to a new "agentic economy"where AI agents autonomously produce value and drive business outcomes.