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Sayash Kapoor
2/24/2026
New Paper: Towards a science of AI agent reliability

New Paper: Towards a science of AI agent reliability

TL;DR

Sayash Kapoor's research paper quantifies the gap between AI agent capabilities (benchmark scores) and actual reliability in production systems. Proposes scientific framework for assessing whether deployed agents meet safety and performance standards. Critical for product teams and analysts building autonomous systems where operational reliability is non-negotiable.

  • Addresses capability-reliability gap in AI agents
  • Proposes quantification framework for agent dependability
  • Targets product builders and analysts evaluating autonomous systems

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New Paper: Towards a science of AI agent reliability — AiA Feed