The short answer
Lovable is an AI builder that turns prompts into a working web app. AR Digital Solutions takes those builds to production, fixing authentication, database structure, SEO, accessibility and error handling, then hosting the result in Australia. We also build with Lovable when speed matters more than polish.
What taking a build to production involves
A security and authentication pass.
Keys out of the front end, access rules written properly, roles that mean something.
A database that survives real data.
Schema restructured, indexes and relationships added, migrations put under version control.
Rendering and SEO fixes.
Unique titles and meta per page, server rendering where it matters, sitemap, schema and speed work.
An accessibility pass.
Contrast, keyboard navigation, focus states, form labels and alt text.
Error handling, validation and logging.
Loading states, useful messages, and a record of what failed when a customer says it broke.
Hosting, environments and handover.
Staging and production separated, backups running, code in your repository, plus Australian hosting.
The gap between a prototype and a production site
AI builders are genuinely good, and the speed isn't a marketing claim. Describe an app on Monday and click through a working version on Wednesday. Then the predictable thing happens. The last twenty percent takes longer than the whole build would have taken with a developer, because everything still missing is a thing that doesn't show on screen.
What they're excellent at.
Validating an idea before you spend real money on it. Internal tools where the users are five people you can train in a meeting. Getting a demo in front of an investor or a client this week rather than next quarter. If the goal is a conversation, ship the prototype and don't let anyone talk you into six weeks of engineering first.
What has to be fixed before customers touch it.
Authentication and security. Generated projects routinely ship with database access rules left open, keys sitting in front end code where anyone can read them, and no rate limiting. The data is private because nobody has looked, which isn't the same as private.
Database structure. The schema gets shaped around the screen you asked for, not the data you'll have in a year. Missing indexes, no relationships, fields that should be their own table, no migration history. Fine at fifty rows. Expensive at fifty thousand.
SEO. Most AI builds are client rendered apps with one title tag, no sitemap and the same meta on every page. Google can render JavaScript, but can and reliably are different words. If organic traffic is part of the plan, the front end has to change before launch.
Accessibility. Contrast, keyboard navigation, focus states and form labels are missing on nearly every generated build. A legal problem for government and enterprise buyers, a usability problem for everyone else.
Error handling. Prototypes assume everything works. No loading states, no validation, failures that disappear silently and nothing written to a log, so when a customer says it broke you have nothing to look at.
Maintainability. The person who wrote the prompts is the only one who knows what's in there. No tests, no staging, duplicated components, secrets in the repository. Someone other than the original prompter has to be able to pick it up, or you've built a dependency rather than an asset.
None of that is an argument against Lovable. It's an argument for budgeting the second half instead of being surprised by it.
How we take a Lovable build to production
We read the code
A written list of what's exposed, what breaks under load, and an honest call on keep or rebuild.
We scope it and price it
What we harden, what we rewrite, what we leave alone. Fixed number, dates in writing.
We finish it properly
Security, data, rendering, accessibility and error handling, with the repository in your account.
We launch and host it
Staging and production separated, backups, monitoring, support answering in 1 to 3 hours.
Who this is for
Founders with a prototype people liked and a launch date approaching. Teams whose internal tool outgrew being internal. Businesses whose developer was an AI builder and who now need someone accountable.
If you haven't validated the idea yet, keep prompting. We'll say so on the call rather than sell you a build. And if what you're describing was never a website, start at MVP development.
Why bring an AI build to us
We're not competing with Lovable.
It does the first half well. We do the half involving other people's data and your name on it.
Developers who also run the servers.
AWS certified, hosting in a Sydney data centre, same team either side of launch.
No lock in contracts.
Fixed scope on the work, month to month after. Code and hosting account are yours throughout.
"Will you just rebuild it and charge me twice?"
Sometimes rebuilding the back end costs less than repairing it. We tell you which one it is before quoting, and we show you the reasoning.