Author

Tanya Sah

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#artificial intelligence Preprint Oct 2026

UndoBench: Separating Task Competence from Recovery Capability in Tool-Using AI Agents

Tool-using AI agents are increasingly deployed across enterprise software systems, yet widely used benchmarks primarily evaluate nominal task completion, conflating baseline planning competence with operational fault recovery. We introduce UndoBench, a benchmark spanning 36 base workflows and 36 fault scenarios across...

Dolly Sah, Tanmay Sah, Harshul Jain et al. · 0 citations

#artificial intelligence Preprint Aug 2026

EvoUndo: Recoverability-Constrained Self-Evolution for LLM Agent Harnesses

The results indicate that reliable agent self-evolution requires co-designing verification, state grounding, witness semantics, and recovery-language expressivity rather than relying on iterative prompting alone.

Tanmay Sah, Dolly Sah, Harshul Jain et al. · 2 citations