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Research Radar · Experimental implementation

Design Loop AI

An iterative HTML design agent using visual-feedback metrics.

Open repository ↗ Documentation ↗

What it investigates

Design Loop AI explores an iterative design loop in which a design representation is measured, revised, and recorded across attempts.

Implementation record

The documented metrics cover DOM depth, contrast ratios, symmetry, accessibility scoring, and responsive breakpoints. The environment manages design specifications and iteration history while the agent path validates and applies modifications, then records metrics for the next iteration.

Public record

This build was recorded as a synthesis, with no single public source paper attached to it. The repository and its documentation are the public record for inspecting its approach. This page does not infer a source result or claim a reproduction.

Scope and limitations

This synthesis build has no single recorded public source paper. Its metrics are implementation signals, not evidence that a design is usable, accessible in every context, or objectively improved.