Guides on AI website builders, coding agents, and how to spot what built a site.
Why we only ever look at server-rendered HTML, never execute JavaScript, weight every signal by hand instead of training a model, and other real engineering tradeoffs behind this tool.
We ran our own detector against Stripe, Figma, Shopify, Discord, and 16 other well-known sites. Along the way we found and fixed three real false positives before publishing a single result.
Both turn a prompt into a working full-stack app. Here is how Bolt.new and Lovable actually differ in output, ownership, and the traces each one leaves behind.
Both use AI to generate a design from a prompt, then hand you a visual editor. Here is how Framer and Webflow differ for design freedom, CMS needs, and what each leaves in the shipped page.
Does it hurt your SEO, your ad approval, or visitor trust if your site was built with an AI tool? Here is what actually matters and what does not, from our own experience.
What an AI website detector actually checks, how it scores a page, and why domain-linking, class prefixes, and CDN references matter more than a screenshot ever could.
Wondering "was this website built by AI"? Here are seven concrete things to check yourself, before or instead of running it through an automated detector.
From generic marketing copy to a stray attribution badge — ten concrete tells that a site came out of an AI builder, ranked from weakest to strongest.
A practical guide to manually spotting the CDN domains, class prefixes, and attribution badges that hosted AI builders leave behind — and where that evidence runs out.
Framer, Webflow, and Wix ADI solve a different problem than Bolt.new, Lovable, v0, and Replit. Here is how the two categories actually differ, and which one leaves a trace.
A behind-the-scenes look at how this detector scores a page — and a real case study of a false positive we found and fixed on our own site.