Towards a Science of AI Agent Reliability
Towards a Science of AI Agent Reliability explores Develop metrics and tools to assess and improve AI agent reliability across consistency, robustness, predictability, and safety dimensions.. Commercial viability score: 5/10 in Agent Reliability.
BUILDER'S SANDBOX
Build This Paper
Use an AI coding agent to implement this research.
OpenAI CodexAI Agent
Lightweight coding agent in your terminal.
Claude CodeAI Agent
Agentic coding tool for terminal workflows.
AntiGravity IDEScaffolding
AI agent mindset installer and workflow scaffolder.
CursorIDE
AI-first code editor built on VS Code.
VS CodeIDE
Free, open-source editor by Microsoft.
Recommended Stack
Startup Essentials
Estimated $10K - $14K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.
Related Papers
- Builds On ThisTowards More Standardized AI Evaluation: From Models to AgentsViability: 4.0
- Builds On ThisReproducible, Explainable, and Effective Evaluations of Agentic AI for Software EngineeringViability: 4.0
- Builds On ThisNonstandard Errors in AI AgentsViability: 2.0
- Prior WorkA Computationally Efficient Learning of Artificial Intelligence System Reliability Considering Error PropagationViability: 5.0
- Higher ViabilityWhen Agents Fail to Act: A Diagnostic Framework for Tool Invocation Reliability in Multi-Agent LLM Systems