Resources

Learn how ARQ™ measures the human-AI relationship across trust, control, understanding, outcomes, and affinity to help improve AI experiences.

Meet Auros, the human network behind AI, connecting organizations with verified people and expertise to train, evaluate, and improve AI.

LLM-as-a-judge has become a common way to scale AI evaluation. It uses a model grader to score model outputs or agent behavior against a rubric, compare responses, and run evaluations repeatedly as systems change. 

How continuously refreshed human context can help enterprises get more from the AI they already use. 

As conversational and agentic AI take on more responsibility, teams need to measure both how well the system performs and whether people understand it, trust it, and want to use it again.