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AppWizards

Our own products

AI products built by AppWizards: four we launched and still run.

Each one taught us something a client project cannot: what an AI model costs per user, where sign-up breaks, which feature nobody used. That is why our estimates are realistic and our demos run on real data.

Why this matters to you

Why an AI development company that builds its own products is a safer choice.

  • We know what an AI model costs per user because we have paid the bills ourselves.
  • We have been woken up by the problems that only appear with real traffic, such as queues, rate limits and failed requests.
  • Sign-up, payments and admin screens decide whether a product survives, so we build them first, not last.
  • 4 products, 500+ client projects, one team.

What each one taught us

The lessons, product by product.

Client work teaches you to build what was asked. Running your own products teaches you what happens next, and that second education is the one that shows up in our estimates.

CrodoWhere the line sits between an assistant that answers and an agent that acts. Crodo does both, and the guardrail we drew, answer freely, act only on explicit instruction, is the same one we now recommend to every client adding AI actions.
DecornoaThe model was never the hard part. Generation cost, queueing under load and quality control were, which is why our AI quotes spend more time on the plumbing around the model than on the model.
TurboTypeHow fast a genuinely focused product ships when scope is cut without sentiment: one platform, one flow, no payments. It is the reference point we use when an MVP feature list starts growing.
BookMyPodcastStudioA two-sided marketplace is nearly two products. Supply onboarding was the real work, not the booking flow, and it is why our marketplace estimates run longer than founders expect.

These lessons are also why the blog can publish real numbers: the arithmetic in what an AI agent costs to run comes from operating these, not from a pricing page. If you want the same team on your product, that process is AI MVP development.

Next step

Want a product like one of these for your market? Let's talk.

A free 30-minute call with an engineer, not a salesperson. You leave with a clear plan, a price range and an honest opinion on whether AI is the right tool for the job.