TrainedApps
AI-Powered Generation

Describe it. We will build it.

Write a plain-language description of the app you need. TrainedApps generates the full stack in minutes: frontend, backend, database, and admin panel.

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How generation works

Four steps from idea to running application. Each step is fully automated.

01

Describe your app

Write a plain-language prompt explaining what your application should do. Include features, user roles, and any business logic.

Build me a project management tool with Kanban boards, team assignments, due dates, and a client portal.

02

AI analyzes requirements

The generation engine breaks your description into a structured plan: data models, pages, API routes, authentication rules, and UI components.

Data models, page tree, API routes, and auth rules are mapped automatically.

03

Code is generated

TrainedApps writes production-grade code across the full stack including React components, server routes, database migrations, and admin views.

Frontend, backend, database schema, and admin panel are all generated together.

04

Preview and iterate

Your app appears in a live preview. Test it, then refine with follow-up prompts or switch to the code editor for manual adjustments.

Add a calendar view to the board, or edit the component code directly.

What gets generated

Every generation produces three layers of production-ready code that work together out of the box.

Frontend

  • Responsive page layouts
  • Reusable UI components
  • Client-side form validation
  • Navigation and routing
  • Loading and error states

Backend

  • RESTful API routes
  • Input validation and sanitization
  • Authentication middleware
  • Business logic handlers
  • Error handling and logging

Database

  • Relational schema design
  • Migration files
  • Seed data scripts
  • Index and relationship setup
  • Data validation constraints

The AI understands context

You do not need to specify every detail. The generation engine infers standard patterns from your domain description.

“A booking system for a hair salon”

AI infers:

  • Appointment slots and availability
  • Service menu with pricing
  • Client profiles and history
  • Stylist assignment
  • Email confirmations

“An internal tool for tracking inventory”

AI infers:

  • Product catalog with SKUs
  • Stock level tracking
  • Low-stock alerts
  • Supplier management
  • Purchase order workflow

“A SaaS for freelance invoicing”

AI infers:

  • Client and project management
  • Invoice generation with line items
  • Payment status tracking
  • Tax calculations
  • Recurring invoice schedules

Iterate with follow-up prompts

Your first generation is just the starting point. Refine, extend, or rework any part of the app with follow-up messages.

Add a notifications system. Users should get an alert when a task is assigned to them.
Done. I added a notifications table, a bell icon in the nav bar with unread count, and a real-time listener that pushes new notifications when tasks are assigned.
Also add email notifications for high-priority tasks.
Added. When a task is marked high priority, an email is queued and sent to the assigned user. You can configure the SMTP settings in the admin panel.

Tips for effective prompts

  • Be specific about user roles and permissions
  • Mention data relationships (e.g., each project has many tasks)
  • Describe key workflows, not just screens
  • Reference real-world apps if you want a similar UX
  • Iterate one feature at a time for best results

Your next app is one prompt away

Sign up for free, describe what you need, and watch TrainedApps generate a complete, working application.

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