Perspective
Every AI app builder wins the demo.
Sixty seconds, a prompt, a working app on screen. Lovable does it. Bolt does it. v0 does it. So does every tool that will launch next quarter. If you are choosing between them based on the demo, you are choosing between things that are identical.
The differences appear later. Around day 90, usually. The API your app depends on changes. The AI model behind a workflow gets deprecated. Someone asks for one more field on the intake form and nobody knows what else that change touches. This is where the category quietly splits in two - and where most founders discover which half they bought.
Every tool in this space belongs to one of two categories, and no landing page will tell you which.
Generators produce code and hand it to you. What happens next - hosting, monitoring, patching, changing it without breaking it - is your problem. That is fine if you have developers. It is the whole problem if you don't.
Systems platforms own what they build. The runtime, the monitoring, the upgrades, the safe path from "we need to change this" to "changed, nothing broke." You are not buying the build. You are buying the years after it.
Neither category is wrong. Prototypes, demos, and weekend projects belong with generators. Your CRM, your approvals, your invoicing - the things your company actually runs on - do not.
Ask these before trusting any AI builder with real operations. The answers separate the categories in about five minutes.
1. Who owns the runtime? When the app is live and something crashes at 2am, whose pager goes off - theirs or yours? If the answer involves the words "your GitHub repo," you have a generator.
2. What happens when the world changes? Slack changes its API. Postgres ships a security patch. The AI model your workflow uses gets retired. Who notices, and who does the work? A system that was correct in March can be silently broken by June without a single line of your code changing.
3. Can you change it safely? Businesses change; software must follow. Ask how the tool handles "add one field" on a live system with real data. If the answer is "regenerate the app," ask what happens to the data, the integrations, and everything the old version silently did right. Regenerate-and-hope is not a change process.
4. What breaks silently? The most expensive failures are the quiet ones - the automation that stopped firing in April, discovered in June. Ask what the platform monitors, what alerts exist, and who receives them. "You can check the logs" means nobody is watching.
5. Where does your data live - and can you leave? EU or US. One tenant or shared. Export path or lock-in. If the tool cannot answer in one sentence each, the answer is the bad one.
None of these five questions is visible in the first hour. That is not an accident. The economics of most AI builders depend on generating fast, at massive scale, for free - and walking away. Owning runtimes for a million users would destroy their business model. They are not being lazy; maintenance is structurally incompatible with how they make money.
Which means the demo is not evidence. It is the one part of the product every vendor in the category has already perfected. Judge day 90, because day one has been solved by everyone.
If you have a dev team: generators are genuinely useful, pick any of them.
If you don't: the demo is the least important thing you will see. Ask the five questions. Count how many answers begin with "you." Every "you" is future work that lands on the person reading this.
We built Chromoly because we kept watching the same story: founder builds something impressive in a weekend, runs the business on it, and six months later is the unpaid maintainer of software they cannot safely change. The build was never the problem. It is what happens after - and "after" is most of the life of every system that matters.
Describe it in plain language. Change it the same way, for years.
Start free