AppMaker focuses AI on structured business apps with two editing modes

A platform called AppMaker applies AI to a narrow but common category of software: structured, data-driven business applications. The premise is that every app in this category shares the same building blocks — forms, data tables, server logic, users and roles — so the AI should fill in a known structure instead of inventing one from scratch each time. The result is a tool that builds a working app while you watch, then lets you switch into a design view to inspect and edit everything the AI created.

Build mode for conversation, Design mode for code

The platform has two modes that operate on the same project without conversion or regeneration. Build mode is a chat interface where you describe what you need in plain language. The AI constructs the app and you try it immediately beside the conversation. No knowledge of forms, schemas or scripts is required to start. Design mode reveals the full internals: forms and controls, tables and SQL, client and server JavaScript, workflows and scheduled jobs. You can switch between modes at any time. Both views work on the same project, so nothing is lost, hidden or regenerated when you move from conversation to code.

Pre-built foundation changes where the AI spends effort

Most AI development tools generate the entire stack for every new app: the data layer, authentication, and the plumbing between them. AppMaker provides those parts up front. The AI directs its effort toward what is specific to your app — the business logic, the form layouts, the role assignments — while working inside a structure that stays consistent across projects. This focus on structured, data-driven software is what lets the AI move quickly and what keeps you in control of the result.

Target app categories and examples

The platform is built for the kinds of applications teams routinely need but often delay building. Admin screens and lookups are included, along with the small tools every team eventually asks for. Common app types include:

  • Contacts, companies and deals with their history
  • Stock tracking across locations with movement logs and reorder levels
  • Requests that route between people, with roles deciding visibility
  • KPI cards, charts and top lists computed on the server

The site notes that these are starting points, not finished products, and highlights the tailored app a consultant might deliver to a client as a typical use case.

Export to standalone Node.js

When the app is ready, you can export a standalone Node.js application and run it on whatever infrastructure you choose. You are not locked into the platform; the exported project is a regular Node.js app you can host anywhere. You can also keep working in AppMaker after export, or carry on development entirely outside it.

Screencasts and free tier

The site includes screencasts showing three apps built from short descriptions by the AI agent, plus one app built by hand in Design mode. Designing, coding and starting from templates are free. New accounts receive $3 in AI credits to try Build mode, with no credit card required. Describing a small business app and watching it take shape costs nothing up front.

Why the structure matters for maintainability

For teams that need business software quickly, Build mode lowers the barrier to a running prototype. For teams that need to customize, audit or extend the software, Design mode provides full visibility into the forms, data models and logic the AI produced. Because both modes work on the same project, there is no conversion step when switching between them. The AI handles the repetitive structural code so developers can focus on the app-specific logic that actually differs between projects.