Welcome

What is Draftbit?

Draftbit is a browser-based software for building cross-platform apps that run on the web and mobile devices with the help of the latest AI models. You can design, build, iterate, and then publish your app to the web, Apple App Store, and Google Play Store with a single click!

Draftbit is purpose-built to support non-technical and less experienced developers. It is designed to be easy to use and understand while at the same time offering powerful features that take the pain out of building apps for yourself, team, or clients.

How does it work?

When you first create an app, you provide an initial description of the app you want to build. This description is then given to the AI which creates a list of tasks required to build an initial version of your app. Once the task list is created the AI will get to work building. You can watch the progress in real-time using the web preview. Once the app is ready you’ll be taken into the Builder where you can continue to build your app with the help of AI.

Start from scratch

It’s also possible to start from a blank base app instead of having the AI create the initial build. This gives you more control over how your app is designed and built from the ground up.

You can preview your app as you build in real-time using the web preview in the Builder. Previewing on iOS and Android is also possibly by creating a Native Preview Build.

If you have experience writing code you can also edit your app’s codebase directly in the built-in Code Editor. You also get a dedicated cloud storage bucket for all your app sets like image, audio, and video files.

When you’re ready to go live, publishing your app to a custom domain as a Progressive Web App (PWA) and to the Apple and Google app stores is simple. Once you upload a few key bits of data which let us publish on your behalf, publishing your app only requires a few clicks!

Getting Started Ready to dive in? Get started building your first app with Draftbit.

What is an LLM?

LLM stands for Large Language Model. When Draftbit taps an LLM, like OpenAI’s GPT-5, you’re essentially plugging your app into a cloud-hosted engine that’s already fluent in dozens of programming languages and everyday English.

Privacy note

Anything you send through Draftbit’s LLM features is used only to generate a response in real time; it is not added to the model’s training data.

Think of an LLM as an insanely good autocomplete. It doesn’t “know” facts the way a database does, but after reading billions of sentences during training it has learned the patterns of language and code. Feed it a prompt—“Give me a React Native login screen,” or “Summarize this support ticket”—and it predicts the most plausible next tokens, stitching them together into something that feels original.

In Draftbit’s case, that means the model can propose complete code blocks, transform rough copy into polished UI text, or explain an error message in plain English, all from a single text prompt.

Prompt quality is one of the best ways to get the most out of an LLM. The more specificity you are able to provide, the better your results should be! Read Writing your initial prompt and Composing task prompts for more details.