You wouldn't ship software without tests. AI is no different. Red-teaming and evaluations are how you prove an AI system is safe and reliable before it reaches users.
Evaluate before you trust
Build an evaluation harness that measures quality, safety, and regression so speed never costs correctness.
Red-team for the real world
Probe for prompt injection, data leakage, and unsafe actions the way an attacker would — then fix what you find.
Make evals continuous
Wire evals into CI so every change is checked. Continuous evaluation is the backbone of secure, AI-native engineering.