AI RESEARCH
Claw-Eval-Live: A Live Agent Benchmark for Evolving Real-World Workflows
arXiv CS.AI
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ArXi:2604.28139v1 Announce Type: cross LLM agents are expected to complete end-to-end units of work across software tools, business services, and local workspaces. Yet many agent benchmarks freeze a curated task set at release time and grade mainly the final response, making it difficult to evaluate agents against evolving workflow demand or verify whether a task was executed. We