AI To Experience

One direction of the RELiK axis is making AI more experientially legible.

AI and agents currently lack cultural works, sensory tangibility, and embodied public contexts for many people. Adoption is limited not only by technical literacy, but also by use-case literacy: knowing what to ask, what to make, what should be made, and how to shape runtime, context, process, and project anatomy.

The “genie” metaphor is useful but incomplete: once many things become technically possible, the real design questions become what should be done, how it should be done, and what systems of context, process, and judgment guide the work.

This points RELiK toward experience design, process design, systems design, systems thinking, and project design as core literacies around AI.

Experience For Its Own Sake

The other direction of the RELiK axis is XP for XP’s sake.

RELiK can produce immersive and experiential work without needing to justify itself through novelty, virality, or client-centered external funding logic. The lab does not need to over-explain the work to fit conventional client expectations before it can exist.