Every major LLM benchmark explained — what it tests, how tasks work, and where models stand.
LLM agents across 8 interactive environments: OS, databases, web, games, and more.
Multi-step real-world tasks that are conceptually simple for humans but require tool-using agents.
Benchmark for automatically converting GitHub repositories into autonomous, interoperable software agents for the 'Agentic Web'.
A simulated software company with 16 AI colleagues testing real office work tasks.
Autonomous browser agents completing realistic tasks on functional sandboxed websites.
AI customer service agents that must follow policy while solving real customer problems.