AI-Mediated Element Creation in Effect Tools From Natural Language

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Solution Overview

Problem

Existing effect creation tools require users to have specific knowledge and artistic ability to create elements, making them inaccessible to those without technical expertise.

Innovation Solution

Utilizing an AI or machine learning model to interpret natural language requests and generate syntax for creating elements in an effect creation tool, allowing users to create elements without needing specialized knowledge or artistic skills.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If traditional effect creation tools are used, then elements can be created with precise control, but users require specific knowledge and artistic ability

Engineering Contradiction:
Improveease of useVSAvoidcomplexity of creation process
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

The patent introduces an AI model as an intermediary between the user and the effect creation tool. The user provides natural language input, the AI model interprets and generates appropriate syntax, and the system executes the effect creation. This mediator eliminates the need for users to directly understand complex syntax or artistic techniques while maintaining precise control over element creation.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent replaces the manual mechanical process of constructing effects through direct syntax manipulation with an automated AI-driven system. Instead of users manually assembling complex syntax structures requiring artistic knowledge, the AI model automatically generates the necessary syntax from simple natural language descriptions, substituting the mechanical creation process with intelligent automation.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Adaptability or versatility

If traditional effect creation tools are used, then precise control over element creation is achieved, but the tools become inaccessible to users without technical expertise

Engineering Contradiction:
Improveaccessibility to usersVSAvoidtechnical knowledge required
Core Design Contradiction:
Adaptability or versatilityVSEase of operation

Solution Approach 1:

The AI model serves as an intermediary that translates between natural language (accessible to all users) and the technical syntax required by the effect creation tool. This intermediary layer makes the tool accessible to users without technical expertise while maintaining the precision of the underlying system.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The system uses the AI model to copy and adapt the user's intent expressed in natural language into the appropriate technical syntax format. Instead of requiring users to learn and manually construct complex syntax, the AI model copies the essence of the user's request and reformats it into the precise syntax needed for element creation.

Inventive Principle:
Principle #26Copying

3Ease of operation

If natural language input is accepted, then user accessibility is improved, but automated syntax generation is required

Engineering Contradiction:
Improveuser interface simplicityVSAvoidautomation of syntax generation
Core Design Contradiction:
Ease of operationVSExtent of automation

Solution Approach 1:

The patent replaces the manual syntax generation process with an automated AI model. The natural language input interface is simple and accessible, while the complex task of generating correct syntax is automatically performed by the AI model, substituting manual mechanical syntax construction with intelligent automation.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS12578936B2Techniques for model-based element creation in effect creation tools
Publication Date: 2026.03.17 LEMON INC(GB)
  • US12578936B2 patent drawing
  • US12578936B2 patent drawing
  • US12578936B2 patent drawing

AI summary

Described are examples for creating elements in an effect creation tool, including receiving, via a user interface provided for the effect creation tool, a natural language string requesting creation of an element in the effect creation tool, providing, to a model, an input including at least a portion of the natural language string, receiving, from the model and based on the input, an output string, in an expected syntax, corresponding to creating the element, mapping the output string to one or more commands of a format for creating the element in the effect creation tool, and providing the one or more commands to the effect creation tool to cause creation of the element in the effect creation tool.