AI agent skills look great in benchmarks but fall apart under realistic conditions according to researchers

Autonomous systems that use large language models to plan, reason, and take actions — including browsing the web, writing code, calling APIs, and completing multi-step tasks with minimal human intervention.

Standardized methods for evaluating AI system performance. Enables comparison across models, tasks, and metrics.

Tools, frameworks, and benchmarks for measuring and improving AI agent performance, including observability platforms, LLM-as-judge systems, and leaderboards.