Typed AI Operations
LLM output becomes audited commands for pages, media, booking, catalog, variants, locales, and admin settings.
Investor-ready live product demo
GoLivePilot is a self-hosted, single-tenant AI CMS for owner-led sites. This public site shows the product in operation: pages, news, reviews, catalog, locales, booking, contact forms, media, and release state are driven by the same Git-backed site model that the owner controls from the admin cockpit.
Typed AI Operations
LLM output becomes audited commands for pages, media, booking, catalog, variants, locales, and admin settings.
Runtime Truth Boundary
Appointments, orders, submissions, payments, sessions, and audit trails are not rewritten by content restore.
Self-Hosted Control
Git, SQLite, media store, Caddy, FastAPI, and Next.js run as an operator-owned stack without a mandatory SaaS control plane.
The demo is intentionally live and presentation-ready: operational facts such as bookings, orders, submissions, auth, and audit traces stay in runtime storage while content remains versioned and restorable.
Operating loop
Owner chat proposes typed actions; the platform validates them server-side; the owner reviews a preview before publishing the exact checked snapshot.
This is a managed product site, not a static marketing mockup. Public pages, product updates, proof quotes, localized routes, booking availability, service-commerce offers, customer-assistant scope, media metadata, SEO, contact submission entry points, and release evidence all resolve from the selected site variant.
Why the product matters
Traditional site builders make content easy but rarely protect booking state, paid order history, release comparison, localization drift, and AI-generated changes as one workflow. GoLivePilot treats the website as an operating surface: content is previewable and restorable, while live operations remain truthful.
From owner workspace to public proof
This surface is rendered from the same Git-backed pages, booking config, reviews, and SEO state that the owner can preview and release.
These are real booking options rendered from the booking catalog. Use them to inspect owner chat, preview, localization, release control, commerce, customer assistant, and runtime boundaries.
Book this live walkthrough to see the module end-to-end, from variant setup to runtime-safe publishing.
Book this live walkthrough to see the module end-to-end, from variant setup to runtime-safe publishing.
Book this live walkthrough to see the module end-to-end, from variant setup to runtime-safe publishing.
The public host list comes from the same practitioner model that the booking runtime uses for availability and assignment. The names are role-based demo hosts, not invented customer credentials.
Each host can walk through owner chat, preview, compare, booking, localization, and release controls from the same dataset.
Each host can walk through owner chat, preview, compare, booking, localization, and release controls from the same dataset.
Each host can walk through owner chat, preview, compare, booking, localization, and release controls from the same dataset.
These quotes are written as product proof, not generic testimonials. They focus on preview discipline, typed AI execution, and separation between versioned content and runtime truth.
For GoLivePilot, the important part is not that AI writes copy. Every change becomes a typed, reviewable plan with preview links, warnings, and an audit trail before the client sees it live.
Agency implementation lead
GoLivePilot lets us change pages, catalog copy, localized routes, and media without touching existing bookings or paid-order history. That separation is the reason the workflow feels operationally safe.
Service-business operator
The demo connects the public site, owner cockpit, AI command trail, media manifest, booking, commerce, and restore evidence into one inspectable product workflow. It feels like an operating system, not a template.
Investor product reviewer
The updates explain architecture, commerce, media generation, owner chat, and release safety using the same Git-backed news model a customer site would use.
GoLivePilot is marking International Friendship Day with a warm thank-you to customers, partners, and operators who help turn careful website operations into a shared success.
GoLivePilot has started a collaboration with lecovery.com, with planned video production support and approved use of partner-site text for future content work.
GoLivePilot now includes Bashkir as a public site language, making the product demo easier to review across more language audiences.
Coffee&Code Tbilisi will host an offline meetup on Saturday, June 20 at 13:00 at CINNAMON Paliashvili branch in Tbilisi, bringing together local IT participants and iOS guests from Saint Petersburg.
The public GoLivePilot demo now presents the full operating story: preview-first AI changes, media, booking, commerce, customer assistant, releases, restore safety, and runtime evidence.
Appointments, orders, submissions, payments, sessions, and audit traces stay in runtime storage while the GoLivePilot site content moves forward or backward.
GoLivePilot treats every AI-assisted site change as a scoped, previewable, auditable operation before it reaches live routes on the managed product site.
Уже завтра! «Growth marketing для IT-проектов» 📅 11 июля (суббота), 14:00–17:00 📍 Где: ibis Tbilisi Stadium Программа встречи: 14:00 – 14:10 — Сбор гостей и стартовый нетворкинг 14:10 – 14:30 — Иван Махатма | Питч проекта для малого бизнеса + Q&A 14:30 – 14:50 — Николай Сусолкин
Start on the public site, then inspect the owner workspace: typed chat plans, media and catalog controls, booking operations, release checks, restore history, and runtime evidence.