Typed AI Operations
LLM output becomes audited commands for pages, media, booking, catalog, variants, locales, and admin settings.
Preview-first website operating system
Self-hosted AI website operations for owner-led sites.
Menu
Live product demoPublished locales: 1
Investor-ready product demo
A website operating system where AI changes stay reviewable before they go live.
GoLivePilot is a self-hosted, single-tenant AI CMS for owner-led sites. This public site is the product proof: 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.
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: operational facts such as bookings, orders, submissions, auth, and audit traces stay in runtime storage while content remains versioned and restorable.
GoLivePilot
Operating loop
Ask. Plan. Preview. Compare. Go live. Restore.
Owner chat proposes typed actions; the platform validates them server-side; the owner reviews a preview before publishing the exact checked snapshot.
01Request a site or content change
02Review the typed plan and warnings
03Preview localized public routes
04Publish or restore with runtime safety
Route
Path/
Localeen
Sourceen
What this public site demonstrates
This is not a static marketing mockup. It is a running GoLivePilot site with public pages, product updates, proof quotes, localized routes, booking availability, service-commerce offers, customer-assistant scope, media metadata, SEO, and contact submission entry points all resolved from the selected site variant.
Why the product matters
Service businesses need fast changes without operational data loss.
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
A public demo site that stays truthful across variants, locales, and runtime operations.
This surface is rendered from the same Git-backed pages, booking config, reviews, and SEO state that the owner can preview and release.
Localized navigation and slugs stay truthful across routes.
Runtime-backed bookings and submissions stay intact behind publish and restore.
Live proof tracks
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.
Track 0130 min
Investor product walkthrough
Book this live walkthrough to see the module end-to-end, from variant setup to runtime-safe publishing.
Track 0245 min
Preview, go-live, and restore proof
Book this live walkthrough to see the module end-to-end, from variant setup to runtime-safe publishing.
Track 0360 min
Commerce, booking, media, and assistant proof
Book this live walkthrough to see the module end-to-end, from variant setup to runtime-safe publishing.
Demo hosts and operating roles
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.
PW
Demo hostProduct workflow lead
Each host can walk through owner chat, preview, compare, booking, localization, and release controls from the same dataset.
RO
Demo hostRuntime operations lead
Each host can walk through owner chat, preview, compare, booking, localization, and release controls from the same dataset.
LA
Demo hostLocalization and release lead
Each host can walk through owner chat, preview, compare, booking, localization, and release controls from the same dataset.
Proof points worth showing investors
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.
★★★★★
The important part is not that the AI writes copy. It is that every change becomes a typed, reviewable plan with preview links, warnings, and an audit trail before the client sees it live.
Agency implementation lead
★★★★★
We could change pages, catalog copy, localized routes, and media without touching existing bookings or paid-order history. That separation is the reason this feels operationally safe.
Service-business operator
Product notes with substance
The updates explain architecture, commerce, media generation, owner chat, and release safety using the same Git-backed news model a customer site would use.
April 14, 2026Update
Runtime truth survives content restore
Appointments, orders, submissions, payments, sessions, and audit traces stay in runtime storage while content versions move forward or backward.
April 10, 2026Update
Why preview-first website operations matter
GoLivePilot treats every AI-assisted site change as a planned, previewable, auditable operation before it reaches live routes.
Run the walkthrough from public proof into the admin cockpit.
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.
Visitors see a polished public surface while variants, locales, booking rules, and runtime data remain truthful underneath.