This paper presents HUMAN (Heuristics in User-Machine Alignment Navigation), a novel protocol for natural language command interfaces in AI agent systems. The framework enables users to control AI agents through conversational commands without requiring explicit syntax or programming knowledge. We describe the theoretical foundations, key principles including intent inference and contextual awareness, and discuss implications for democratizing AI agent interaction. The protocol addresses the growing need for intuitive human-AI collaboration interfaces as AI systems become more prevalent in professional and personal contexts.