Our site prices your task and shows the year-one saving

An agency that sells AI systems has to read like a company that runs its own advice, not a template with a contact form on top. That means a real cost model instead of a vague promise, content that ranks instead of one About page and a build that behaves the same for a search crawler as for a visitor. The home page opens with the pitch and a live status panel, then routes into the service catalog, the Learn library and the calculator itself.

The site is a Vite and React 18 single-page app, but visitors and crawlers never see a blank shell. The production build runs the client build, an SSR build of the same component tree and a prerender script that renders every route in both locales to static HTML, rewriting the head tags per page. The browser then hydrates that HTML instead of rendering from scratch, so the real headline is already on screen before any JavaScript runs; the last build wrote 97 per-route HTML files.

In production at anmflow.com in English and Russian, with a URL-based locale for every page. Twelve Learn articles cover AI ROI, implementation cost and adoption topics, each one registered with its own EN and RU content and prerendered like every other route. Analytics loads through GA4 under Consent Mode v2, so tracking stays denied until a visitor accepts the cookie banner; the calculator and the Learn library are the two pieces doing the actual selling.