Layer 4 - Sara's creator OS
Site Machine
One calm machine for turning multilingual briefs, references, and sketches into production-ready websites with real RTL output, vertical craft, and an editor loop that teaches Sara what better looks like.
آتلیه روشن
گالری، رزرو و داستان برند با چیدمان راستبهچپ واقعی.
multilingual Sara regression briefs passed
Live Sara proof: multilingual regression briefs passed across 5 regression briefs max, with 1 deployed editor-origin prompt(s) and archived per-brief score evidence. Current deep proof bar is five Persian, Arabic, Hindi, and Gujarati briefs.
The wedge
Built where general AI builders are weakest
Brief in your own language
Describe the site in English, Persian, Arabic, Hindi, or Gujarati with references and an optional sketch.
Sara builds with memory
The pipeline normalizes the brief, picks the right vertical pattern, and tags output against quality signals.
Improve through editors
Human editors can review results, propose product changes, and feed the learning loop that makes future sites better.
What is visible now
Not another generic prompt-to-page wrapper
Persian and RTL are first-class
Direction, rhythm, font choices, and page structure are built for Persian and Arabic instead of patched on after generation.
Sara learns from editor review
Prompt versions, regression briefs, quality tags, and editor proposals turn review work into a product-improvement loop.
Vertical templates with depth
Photographers, restaurants, single-product launches, freelancers, quant teams, real estate, writers, events, clinics, bilingual local services, construction PM teams, and contractors get structure designed for their work.
Selective iteration is cheaper
Simple revisions reuse parent artifacts and skip expensive upstream model calls, so small edits stop acting like rebuilds.
Build the first site your audience can actually feel.
Start with the Persian or Arabic launch path, or create an English build with the same Sara-backed pipeline.
Get started