This arXiv preprint argues that agentic AI systems producing media outputs from multimodal resources need to preserve design intent across long workflows. It frames the problem in terms of design briefs—documents that state goals, constraints, and deliverables—and suggests that later stages of generation must remain anchored to those initial specifications.
The title, "Design Anything, Design at Scale," points to the ambition of extending this alignment beyond individual projects. While the abstract is truncated and does not yet describe a concrete approach, the core claim is clear: maintaining fidelity to a brief is not a one-time instruction but an ongoing constraint that spans the entire production process.
The emphasis on "long horizons" sets this apart from simpler prompt-following tasks. It implies that as agents work through many steps, they need a persistent representation of the original design intent, not just a re-statement of the goal at each stage.