How AI App Builders Work
Behind the prompt: how AI app builders turn a description into planning, code generation, preview, automated fixes and deployment.
From language to a plan
The first step is not writing code. A large language model reads your description and produces a structured plan: entities, screens, navigation, endpoints and integrations. This plan is what you review and adjust.
Generation in layers
Code is generated layer by layer: database schema, backend APIs and authentication, then frontend components bound to those APIs. Generating in this order keeps the pieces consistent. Zusagi runs this pipeline as ten stages, described on the how it works page.
Preview and the fix loop
The generated project is built and run so you can use it. When something fails or looks wrong, the builder reads the error or your description, locates the relevant code and patches it. This loop is where most of the time is saved.
Multi-model routing
Different tasks favour different models: long-context planning, precise code generation, fast debugging. Builders like Zusagi route each task to a suitable model from supported providers rather than using one model for everything.