AI Application Generation from Natural Language Without Coding

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Solution Overview

Problem

Current systems require human intervention and coding expertise to generate and enhance dynamic interactive applications, limiting their scalability and customization beyond proprietary ecosystems.

Innovation Solution

An AI-based system that generates and enhances dynamic interactive applications using natural language input, analyzing requirements, enriching them with domain-specific metadata, and generating applications in a domain-specific language within AI processing limits, followed by automated and manual reviews to ensure compliance.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If professional software developers are employed to build dynamic interactive applications, then application quality and functionality are improved, but development cost and complexity increase

Engineering Contradiction:

Improveapplication qualityVSAvoiddevelopment complexity

Core Design Contradiction:

Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent replaces the mechanical system of professional software developers with an AI-based automated generation system. The system uses natural language processing to interpret user requirements, generates domain-specific language code, and automatically builds dynamic interactive applications, eliminating the need for human developers while maintaining application quality.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables users to create applications through self-service by providing intuitive natural language interfaces. Users can describe their application needs in plain language, and the AI system automatically generates the complete application without requiring users to understand coding or software development concepts.

Inventive Principle:

Principle #25Self-service

2Ease of operation

If low-code/no-code platforms are used to create applications, then ease of application creation is improved, but adaptability and customization are limited to proprietary ecosystems

Engineering Contradiction:

Improveease of application creationVSAvoidcustomization capability

Core Design Contradiction:

Ease of operationVSAdaptability or versatility

Solution Approach 1:

The patent creates a universal application generation system that works across multiple platforms and ecosystems. The AI system generates applications in domain-specific languages that can be deployed to various platforms, making the system adaptable and versatile rather than locked into a single proprietary ecosystem.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system allows users to customize applications by changing parameters in natural language descriptions. The AI system interprets these parameter changes and automatically adjusts the generated application, enabling flexible customization without requiring users to understand the underlying technical parameters.

Inventive Principle:

Principle #35Parameter changes

3Productivity

If AI-assisted development tools are used to speed up development, then development time is reduced, but coding expertise is still required

Engineering Contradiction:

Improvedevelopment speedVSAvoidcoding expertise requirement

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent completely replaces the need for coding expertise with an AI system that generates code automatically. The system takes natural language descriptions and transforms them into functional applications, eliminating the barrier of requiring users to understand coding concepts while maintaining high development speed.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

4Productivity

If requirements are summarized to fit AI processing limits, then processing capability is maintained, but information loss may occur

Engineering Contradiction:

ImproveAI processing capabilityVSAvoidinformation loss during summarization

Core Design Contradiction:

ProductivityVSLoss of information

Solution Approach 1:

The patent segments the requirements into multiple parts and processes them iteratively. The system divides the natural language requirements into manageable chunks, processes each chunk through the AI system, and combines the results, ensuring complete information is captured without exceeding processing limits.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system incorporates feedback loops where the AI system processes requirements, generates applications, and users provide feedback on what was captured accurately and what was lost. This feedback is used to refine the summarization process and ensure complete information preservation in subsequent iterations.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS12566920B2System and method to generate and enhance dynamic interactive applications from natural language using artificial intelligence

Publication Date: 2026.03.03 BRAINWEBER INC

AI summary

System and methods for generating and enhancing dynamic interactive applications using artificial intelligence include a system that receives requirements for an application in natural language and uses artificial intelligence to generate a functional application. Such generated application is then continuously enhanced and adjusted with additional user and system feedback provided through natural, markup, programming, and domain-specific languages.