Updateable Entity Tagging for Scalable Assistant Integration

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Solution Overview

Problem

Existing software applications lack programmable accessibility and efficient integration with digital assistants, relying on manual scripting that hampers scalability and operational efficiency.

Innovation Solution

A framework that enables compatibility with digital assistants by exposing application functionalities as intents through APIs, allowing automated interaction and dynamic property modification using updateable entity tagging.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If manual scripting is used to integrate applications with digital assistants, then integration capability is achieved, but scalability and operational efficiency deteriorate

Engineering Contradiction:

Improveintegration capabilityVSAvoidoperational efficiency

Core Design Contradiction:

Adaptability or versatilityVSProductivity

Solution Approach 1:

The system enables self-service by allowing applications to automatically expose their functionalities as intents through APIs without requiring manual scripting. The framework automatically parses application code to extract intents, entities, and slots, eliminating the need for manual integration efforts while maintaining scalability and operational efficiency.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces the mechanical system of manual scripting with an automated code parsing mechanism. By using static analysis and natural language processing to automatically extract intent information from application source code, the system substitutes human-driven integration processes with machine-driven automation, thereby improving productivity while maintaining adaptability.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Adaptability or versatility

If manual scripting is used for property modification, then integration is achieved, but scalability deteriorates

Engineering Contradiction:

Improveintegration capabilityVSAvoidscalability

Core Design Contradiction:

Adaptability or versatilityVSProductivity

Solution Approach 1:

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Productivity

If automated interaction is implemented through APIs, then operational efficiency is improved, but system complexity increases

Engineering Contradiction:

Improveoperational efficiencyVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent introduces an intermediary layer (the framework) that sits between the application and the digital assistant. This framework automatically parses application code, extracts intent information, and generates standardized intent schemas, thereby simplifying the interaction interface while maintaining automated efficiency. The intermediary absorbs the complexity of code analysis, presenting a clean API interface to both applications and assistants.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system changes parameters by automatically transforming application-specific code structures into standardized intent parameters. By dynamically generating parameter schemas based on code analysis, the system adapts to different applications without requiring fixed complex interfaces, thereby improving operational efficiency while managing system complexity through parameter standardization.

Inventive Principle:

Principle #35Parameter changes

4Extent of automation

If dynamic property modification is enabled, then automation is improved, but reliability of property management deteriorates

Engineering Contradiction:

Improveautomation capabilityVSAvoidproperty management reliability

Core Design Contradiction:

Extent of automationVSReliability

Solution Approach 1:

The patent implements feedback mechanisms by automatically validating extracted intent parameters against defined schemas. The system checks whether extracted entities and slots conform to expected types and constraints, providing immediate feedback on property validity. This automated validation ensures reliable property management while maintaining high automation capability, as the feedback loop prevents erroneous property modifications.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS20250342144A1Dynamic property modification through updateable entity tagging

Publication Date: 2025.11.06 APPLE INC

AI summary

The subject technology provides for dynamic property modification through updateable entity tagging by an intelligent automated assistant. An apparatus can extract a schema associated with an application, the schema comprising metadata that defines a structure indicating at least one entity and at least one app intent call. The apparatus determines that the metadata indicates that a property associated with the at least one entity is updateable. The apparatus generates a mapping between the property and the at least one app intent call to indicate a relationship between an action taken by the at least one app intent call to enable modification of the property. The apparatus generates a dictionary structure comprising an indication of the mapping between the property and the at least one app intent call. The apparatus provides the dictionary structure for access by an automated assistant.