# Designing a Generative System With an AI Partner

**Track:** Creative ML & AI-in-the-Loop — Advanced Creative Coding — proposed (50)
**Framework / surface:** cross-framework
**Level:** Hard
**Prerequisites:** Iterate with the AI Tutor, Prompt as a Parameter

**In one line:** Build, evaluate, and steer a generative system collaboratively.

## Theory, aesthetics & inspiration

A generative system is not authored once; it is steered. The artist sets constraints, generates, judges, and adjusts—an arrangement Gene Kogan's "Machine Learning for Artists" (ml4a) framed early as a literacy rather than a magic trick. Authorship migrates from the mark to the loop: taste, evaluation, and the design of feedback become the medium, the human directing while the model proposes. The discipline is honest assessment—deciding what "good" means for this system and encoding it—so iteration converges instead of wandering. It is the human-in-the-loop ethos taken seriously: the machine as a fast, tireless collaborator whose output is raw material, and the editing of that output the actual work.