Natural Language Application Creation via Intermediary Layer
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Solution Overview
Problem
The existing methods for creating computer applications are inefficient due to a steep learning curve for both developers and end-users, as they require technical coding skills and unique user interfaces, making them unpatentable and uncopyrightable when using plain language coding with finite data dictionaries.
Innovation Solution
A method and system that facilitate creating computer applications using a natural language interface with a limited dictionary, allowing users to arrange keys in a sequence to generate a workflow, resulting in applications that are neither novel nor non-obvious, thus unpatentable and uncopyrightable, and allowing end-users to choose their user interface design.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional coding methods are used to create computer applications, then applications can be created with custom functionality, but the learning curve is steep for both developers and end-users
Solution Approach 1:
The patent introduces a natural language processing intermediary layer between the user and the application creation system. Users interact with a language model that translates their natural language instructions into executable code or configuration parameters, eliminating the need for users to learn programming languages or complex interfaces while still enabling highly customized application creation.
Solution Approach 2:
The patent replaces the mechanical system of traditional coding interfaces (keyboard input, code editors, drag-and-drop interfaces) with an AI-based natural language processing system. This substitution allows users to create applications through conversational interaction rather than manual coding, dramatically reducing the learning curve while maintaining full customization capabilities.
2Adaptability or versatility
If each application has a unique user interface design, then end-users can customize their experience, but it creates a learning curve for orienting themselves to how each application works
Solution Approach 1:
The patent implements a universal interface framework that provides consistent interaction patterns across all applications. The natural language processing system translates user intent into application-specific actions while maintaining a uniform communication interface, allowing users to interact with any application using the same natural language commands regardless of the application's underlying functionality or data structure.
3Ease of manufacture
If plain language coding with finite data dictionaries is used, then applications become unpatentable and uncopyrightable, but this limits the scope of what can be created
Solution Approach 1:
The patent employs dynamic prompt engineering where the language model adapts its questioning and guidance based on the user's responses and the application being created. The system dynamically adjusts the level of detail, suggested options, and validation requirements based on the context, allowing the same plain language interface to handle both simple and complex application creation scenarios effectively.
Data Source
AI summary
Disclosed herein is a method of facilitating creating a computer application based on a natural language. Accordingly, the method may include receiving, using a communication device, a request from a builder device. Further, the method may include transmitting, using the communication device, a user interface on the builder device. Further, the method may include receiving, using the communication device, the workflow from the builder device. Further, the method may include analyzing, using a processing device, the workflow. Further, the method may include generating, using the processing device, an application file based on the analyzing. Further, the method may include deploying, using the processing device, the application file on at least one end-user device.


