AI 服务暂时不可用，以下为来源正文，待恢复后补全翻译。
Most benchmarks today exist in curated environments and do not translate well to the real world. We built Oqoqo to bridge this gap. Oqoqo makes it super simple to build realistic evals and custom benchmarks for tasks users actually care about. Oqoqo can: - Reliably measure how agent friendly your product surfaces are against Codex, Claude Code, OpenClaw, Hermes, Pi, Opencode, Cursor, GitHub Copilot - Regression test MCP, CLI, skills, SDK, and any agent facing interface (we are continuously using Oqoqo to dogfood and improve our own MCP/CLI) - Create and share custom benchmarks for how agents discover and use your product - Compare models and harnesses for domain specific tasks - See whether new versions improve agent experience Would love to hear feedback and thoughts on what kind of evals you are running today, if you are benchmarking agent facing interfaces, and whether you have published a custom benchmark.