ClawBench: Can AI Agents Complete Everyday Online Tasks?
AI agents may be able to assist with emails and documents, but can they reliably complete everyday online workflows on real websites? Everyday online tasks offer a realistic yet unsolved testbed for evaluating the next generation of AI agents. To this end, we introduce ClawBench, an evaluation framework comprising 153 everyday online tasks that people need to accomplish regularly in their lives and work, spanning 144 platforms across 15 categories, from completing purchases and booking appointments to submitting job applications. These tasks require capabilities beyond existing benchmarks, such as obtaining relevant information from user-provided documents, navigating multi-step workflows...
| Authors | Yuxuan Zhang, Yubo Wang, Yipeng Zhu et al. |
|---|---|
| Primary category | cs.CL |
| Published | 9 April 2026 |
| Last updated at source | 20 July 2026 |
Connected in the knowledge graph
- NAIL-Group/ClawBenchDataset · cited by
- TIGER-Lab/ClawBenchDataset · cited by
- TIGER-Lab/ClawBenchV2TraceDataset · cited by
- NAIL-Group/ClawBenchV1TraceDataset · cited by
Models and datasets referencing this paper
- NAIL-Group/ClawBenchV1TraceDataset
- TIGER-Lab/ClawBenchV2TraceDataset
- TIGER-Lab/ClawBenchDataset
- NAIL-Group/ClawBenchDataset
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