A2E: An End-to-End Agent Auditing Engine
The episode discusses the paper "A2E: An End-to-End Agent Auditing Engine," which evaluates AI agent frameworks, not just models. The hosts explain that the harness—software handling prompts, tools, and execution—dramatically affects performance, cost, and safety. They highlight that no single framework wins across all benchmarks, and that measuring only final correctness hides huge differences in efficiency and behavior.