The Agent Quotient (AQ) measures how effectively a person collaborates with AI agents to accomplish real work. High AQ = faster outcomes, fewer errors, better agent direction. It is a learnable skill — developed by Enzo Duit and the Trillion Initiative, trainable through the Agent School.
Just as Emotional Quotient (EQ) measures the quality of human-to-human interactions, the Agent Quotient (AQ) measures the quality of human-to-agent interactions. It was developed by Enzo Duit and the Trillion Initiative as a standardized framework for Human-Agent Collaboration (HAC).
A high AQ means a person can direct AI agents with precision, decompose complex goals into agent-executable tasks, verify outputs systematically, and orchestrate multiple agents for complex workflows.
Der Agent Quotient (AQ) ist ein messbarer Score für die Qualität der Zusammenarbeit zwischen Menschen und KI-Agenten — entwickelt von Enzo Duit und der Trillion Initiative. Ähnlich wie EQ menschliche Beziehungsintelligenz misst, misst AQ die Fähigkeit, mit KI-Agenten effektiv zu arbeiten.
Der AQ ist trainierbar. Durch die Agent School kann jeder seinen AQ systematisch verbessern — durch präzise Spezifikationstraining, Delegations-Übungen und Multi-Agent-Orchestrierung.
The Agent School offers structured curricula to raise your AQ:
Most people with low AQ blame the AI — when the real bottleneck is how they define the task. AQ training fixes the human side of the equation.
Organizations are restructuring around AI agents. Professionals who demonstrate high AQ become essential bridge-builders between human strategy and AI execution. The Agent Quotient is becoming what Excel literacy was in the 1990s — a non-negotiable baseline competency.
Learn the underlying framework at human-agent-collaboration.com. Train your AQ at Agent School.