AI Capability Intent Disambiguation for Query Collision Prevention

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Solution Overview

Problem

Existing AI productivity tools face challenges in efficiently selecting and managing multiple AI productivity tool-enablable software applications due to overlapping capabilities and frequent updates, leading to collisions and inefficiencies in user queries.

Innovation Solution

A system and method that utilizes a multi-axis vector space to compare capability intent values of AI productivity tool-enablable software applications, dynamically disambiguating primary and redundant capabilities, and managing updates through a hardware processor-based AI productivity tool subagent.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If multiple AI productivity tool-enablable software applications are integrated to provide comprehensive services, then the functionality and versatility of the AI productivity tool is improved, but capability overlaps and collisions between applications increase

Engineering Contradiction:

ImprovefunctionalityVSAvoidcollision prevention

Core Design Contradiction:

Adaptability or versatilityVSReliability

Solution Approach 1:

The patent introduces an intermediary capability registration and management system that acts as a mediator between multiple AI productivity tool-enablable software applications. This intermediary maintains a centralized capability registry where each application's capabilities are registered with unique identifiers, preventing collisions by coordinating capability assignments across all applications before they are exposed to the AI productivity tool.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent creates a universal capability management layer that serves all AI productivity tool-enablable software applications. This universal registry and coordination mechanism enables multiple applications to share a common capability namespace, allowing the system to manage diverse applications uniformly while preventing capability overlaps through centralized control.

Inventive Principle:

Principle #6Universality (Multi-functionality)

2Adaptability or versatility

If AI productivity tool-enablable software applications are frequently updated to improve functionality, then the adaptability of the system is improved, but the complexity of managing updates and maintaining capability consistency increases

Engineering Contradiction:

Improveupdate frequencyVSAvoidupdate management complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent implements preliminary action by requiring capability registration before software applications are deployed or updated. The capability registry is established in advance with defined naming conventions and assignment rules. When applications are updated, the system checks against the pre-established registry rather than creating capabilities ad hoc, which simplifies update management by maintaining consistency through预先 defined structures.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent incorporates feedback mechanisms where the capability management system continuously monitors and tracks capability assignments across all software applications. When updates occur, the system provides feedback by checking for capability conflicts and ensuring consistency with the registered capability namespace, enabling automatic detection and resolution of update-related issues.

Inventive Principle:

Principle #23Feedback

3Reliability

If a centralized capability management system is implemented to prevent collisions, then the reliability of capability selection is improved, but the system complexity and processing overhead increase

Engineering Contradiction:

Improvecapability selection accuracyVSAvoidsystem complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent segments the capability management system into distinct functional modules: a capability registry for storing capability definitions, a registration module for assigning capabilities to applications, and a resolution module for handling conflicts. This segmentation allows each component to perform its specific function efficiently without requiring the entire system to be complex, reducing overall system complexity while maintaining reliability.

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS20260004079A1System and method of semantic intent value disambiguation for artificial intelligence productivity tool-enablable applications on an information handling system

Publication Date: 2026.01.01 DELL PROD LP

AI summary

A system and method of a hardware processor executing code instructions for selecting between artificial intelligence (AI) productivity tool-enablable software applications during processing an AI productivity tool query of an AI productivity tool module includes gathering capabilities associated with each of a plurality of AI productivity tool-enablable software applications, generating capability intent values for association with natural language descriptions of the gathered capabilities associated with each of a plurality of AI productivity tool-enablable software applications, comparing the capability intent values associated with each of a plurality of AI productivity tool-enablable software applications for similarity, and determining among the gathered capabilities of each of the AI productivity tool-enablable software applications redundant or primary AI productivity tool-enablable software application capabilities based on a similarity threshold vector value for selection of capabilities to be used to respond to user query inputs to an AI productivity tool.