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Open Evaluation

AI Agent Evaluation Framework

Framework Designer|
3 months
7-pillar safety-and-quality rubric
Evaluation Pillars
Structured adversarial testing
Red Team Protocol
2
Production Clients
Active framework
Status

The Challenge

AI agents were being deployed without standardized evaluation, leading to ad-hoc assessments, safety concerns, and inconsistent quality. Needed a systematic framework to evaluate AI agents across safety, fairness, and reliability dimensions before deployment.

The Approach

Designed the framework and its structure around an established AI-safety foundation, extended with four additional pillars: Transparency, Fairness, Responsibility, and Safety — 7 pillars total. Created structured red team protocols for adversarial testing. Framework adopted by 2 production clients.

Key Learnings

  • Build on proven foundations — extended an established AI-safety baseline rather than inventing from scratch
  • Red team protocols surface issues that standard testing misses
  • Framework design requires balancing rigor with practical adoption
  • Reusable frameworks > custom one-off solutions