This paper introduces the anticipatory agent framework for understanding human-AI collaboration, synthesizing Robert Rosen's anticipatory systems theory, QBism (Quantum Bayesianism), and Hans Vaihinger's "as if" philosophy. Central to the framework is the orthogonality principle: computational capability and existential capability operate as independent dimensions rather than competing alternatives. AI systems excel at pattern recognition and linguistic fluency; humans contribute embodied experience, temporal continuity, and genuine accountability. These capacities augment rather than displace one another.

The framework introduces exformative dialogue—interaction that surfaces tacit knowledge and generates novel understanding rather than merely transferring existing information. This concept challenges developer-centric AI ethics by relocating responsibility to the human-AI dyad itself. Users bear responsibility for how they engage AI outputs; developers for creating systems amenable to productive collaboration; institutions for fostering contexts where such dialogue can flourish.

By grounding human-AI interaction in pragmatist epistemology, this framework offers philosophers a vocabulary that neither inflates AI through anthropomorphism nor deflates it through instrumentalist reduction, connecting contemporary debates to philosophical traditions that have long examined how inquiry, agency, and knowledge interrelate.