Who Pays for the Information Behind AI Answers?
AI answers depend on original web sources, but citations and occasional referrals won’t fund all the reporting, testing and data behind them.
Modern tools. Old-stack common sense.
AI answers depend on original web sources, but citations and occasional referrals won’t fund all the reporting, testing and data behind them.
When AI answers replace the visit, useful websites become sources, proof layers and working systems rather than collections of interchangeable pages.
When you don’t know enough to ask AI a useful question, ask it to expose your assumptions, find the missing context, and improve the question first.
Building in public still has value, but AI has changed what’s worth sharing. The real story now is ideas, customers, distribution, and business.
I tested Promptadora with a rough real-world prompt to see whether its generator, workspaces, version history, and export tools are genuinely useful.
A practical guide to choosing an AI app builder as a non-developer, based on the job you need done rather than the loudest demo.
A practical look at what Lovable is useful for, where it can mislead non-developers, and how to test an AI-built prototype before trusting it.
A practical walkthrough for building a free AI-assisted website, from planning and copy to static HTML, free hosting, contact forms, and launch checks.
A practical SEO and GEO guide for small sites: clear answers, crawlable pages, first-hand examples, internal links, AI visibility checks, and no panic.
A practical security checklist for vibe-coded websites, covering login, permissions, XSS, SQL injection, file uploads, APIs, errors, backups, HTTPS, and secrets.