Score any website for AI design patterns
Quantifies AI design homogeneity with 16 deterministic DOM rules anyone can run locally.

I also scored the recent ShowHN submissions on https://slopcop.adriankrebs.ch/show, which shows that about half of all submissions show medium to heavy design slop.
This should not trigger a discussion about AI-assisted coding (this project is too), but about visual design traits common with AI-generated frontends.
Quantifies AI design homogeneity with 16 deterministic DOM rules anyone can run locally.
Specific roast taxonomy with real examples makes this actually useful.
Agent silently revises its own LLM slop before you ever see the draft.
Minimalist terminal-style portfolio hosting math explainers and generative art experiments.
Playwright-driven crawling + deterministic token extraction plus an LLM for semantic labeling is a clever pipeline — it doesn’t just scrape CSS, it produces an AI-optimized .design-memory folder with tokens, component recipes, and multi-page merge/diff capabilities. Expect variable fidelity on highly dynamic or framework-heavy sites since the approach depends on selector heuristics and an API key, but the CLI commands (learn, install, diff) and docs show this is more than a research sketch.
Novelty roast generator; zero substance beyond wrapping n8n + LLM on existing critique templates.