Evidence gates can make Codex-built UIs less sloppy

Codex-style AI coding tools can be good at changing code but still weak at judging whether a user interface looks polished. A React build can pass while the screen still feels generic because of default typography, uneven spacing, random gradients and shadows, and components that do not feel like one design system. Superloopy is a small MIT plugin and CLI that tries to make Codex finish frontend work with evidence, not just changed files.

Before coding, it pushes the agent to define a DESIGN.md file and a design token contract, then blocks common AI-looking defaults. It uses a 92-item brand and style reference library to give the work a clearer visual direction. It also checks for undeclared colors and spacing that falls outside the agreed scale, captures real browser screenshots at mobile, tablet, and desktop widths, and produces visual diff or hotspot output when there is a reference target.

A visual QA artifact under .superloopy/evidence/ is required before the task is treated as done. The same evidence-gate idea is also used for research and authorized website-clone work, with cited research and a claim ledger.