benchmark — A standard public test set for comparing AI models — the shared scoreboards behind every "model X beats model Y" claim.
inference — Running a trained model to get answers — the phase where AI is actually used, as opposed to trained.
AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
Why it matters
AI agentAn AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.Full definition → workloads look nothing like chat benchmarks; AgentX measures inferenceRunning a trained model to get answers — the phase where AI is actually used, as opposed to trained.Full definition → against real coding-agent traces, so serving comparisons reflect what agents actually send.
