Frequently asked questions

Vision OS was created to solve a recurring pain in AI-assisted app building. Vague prompts waste credits, trigger unrelated rewrites, and produce inconsistent results. It exists to bring structure, prediction, and safety to every prompt before a single token is spent.

It is for anyone building with AI app builders. Indie makers, founders, designers, PMs, and engineers who want predictable output, lower credit usage, and an audit trail for AI-generated work all benefit from it.

Three core problems. First, prompts that are too vague to execute safely. Second, credit costs that surprise you mid-build. Third, AI-generated sites that ship with hidden UX, performance, or mobile issues.

It rewrites your input into a strict, scoped instruction with an explicit goal, constraints, out-of-scope rules, acceptance criteria, and a fallback. The result is formatted so the AI builder treats it as a contract, not a suggestion.

It audits any live site, regardless of stack, for UX, accessibility, SEO, performance signals, mobile responsiveness, and architectural smells. It works on SPAs, SSR, WordPress, Shopify, and AI-built apps.

Yes. The analyzer uses both raw HTML fetching and rendered-content fallbacks, so it handles client-rendered SPAs and AI-built sites accurately.

Your history is saved to your own backend workspace so you can revisit past optimizations and audits. Nothing is shared publicly.

The core experience is free to explore. Heavier AI workloads use an AI Gateway under the hood, so cost scales with usage. That is exactly why credit prediction is built in.

Yes. Vision OS is stack-agnostic, so you can optimize prompts and analyze any public website regardless of where it was built.