Building AI-Native Apps with OnSpace AI

AI-Native App Development

OnSpace AI functions as a no-code builder that integrates LLMs directly into application workflows without requiring the user to manage individual API keys or backend servers. The platform handles the orchestration of AI models, allowing developers to build features like real-time language correction and personalized quiz generation by describing the desired functionality in natural language. The system automatically wires the necessary logic, bypassing the traditional friction of configuring external services like OpenAI or Anthropic.

Integrated Backend and Monetization

The platform includes a built-in database that generates tables and schemas automatically based on user prompts, eliminating the need to configure external services like Firebase or Supabase. Authentication flows, including email verification, are handled natively within the environment. For monetization, the platform integrates with RevenueCat to manage in-app purchases and paywalls, or alternatively supports Stripe integration for payment processing.

Debugging and Deployment

To address the complexity of multi-page AI applications, OnSpace AI features a Runtime Scanner that identifies cross-page logic errors during manual testing. When a bug is detected, the tool provides an automated patch option to fix the code without requiring manual debugging or log analysis. Once the application is complete, the platform provides one-click publishing to the Apple App Store and generates APK or AAB files for Android deployment, abstracting the standard build and provisioning documentation requirements.