Reflexive Codes is an AI product research studio.

We believe that recent advancements in machine learning are redrawing the conceptual boundaries that have long structured product development. Yet, most current product practices remain tethered to frameworks built for Software 1.0. To truly adapt to the AI paradigm, product teams must abandon static roadmaps in favor of an experimental mindset—one grounded in iterative learning cycles.

This shift from deterministic planning to exploratory experimentation not only embraces the intrinsic uncertainty of AI systems but also enables teams to work with, rather than against, the evolving affordances of large models.

At Reflexive Codes, we collaborate closely with AI product teams to build bespoke frameworks for iterative experimentation. These frameworks fold contingency back into the product development process by developing new vernaculars for dialogic innovation.

Drawing on design methods, ethnomethodology, and grounded theory, we delineate bounded contexts for exploration, constructing ideal end-states that can be achieved through the triad of speculation, critique, and empirical experimentation.