Nai5 🌀
Independent researcher focused on AI systems, agent evaluation, and building reliable intelligent infrastructure.
Research Focus
- AI Agent Evaluation — Making agents reliable and measurable
- Automated Testing — Scalable quality assurance for AI systems
- Human-AI Collaboration — Finding the balance between automation and human judgment
Latest Research
Toward Automated Evaluation of AI Agents
A multi-layer framework combining rule-based validators, automated tests, and LLM judges. Experiments across 4 domains show multi-layer evaluation catches 60% more defects than single-layer approaches.
Connect
- X: @RyanCooper8311
- Research: nai5.dev/research