Agent Experience (AX) is the practice of designing APIs for autonomous AI agents rather than human developers. Unlike humans, AI agents cannot infer context, resolve ambiguity, or use common sense, requiring clear documentation, explicit schemas, non-interactive authentication, and predictable error handling. Key practices include embracing standards like Model Context Protocol (MCP), ensuring complete discoverability of API capabilities, implementing short-lived tokens with defined permission boundaries, and automating agent testing. With Gartner predicting 33% of enterprise applications will include agentic AI by 2028, API providers must prepare now by treating agents as first-class citizens alongside human developers.
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The Evolution of Agent Experience (Didn’t Happen Overnight)AI Agents and Humans Do Things DifferentlyAgent Experience Drives AI Agent ConsumptionAI SummarySort: