LLM Grid Service Agreements Using NFT-Based Exchange Segmentation

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Solution Overview

Problem

Existing systems for aggregating digital resources via a large language model (LLM) grid with sealed interfaces face errors, inefficiencies, and overcomplications due to complex resource exchanges involving multiple sub-exchanges with varying mandates and regulations, leading to difficulties in authentication, validation, and resource tracking.

Innovation Solution

A system that generates a parent NFT for a primary exchange, creates child NFTs for sub-receivers, uses a LLM grid to draft automatic service delivery agreements, encrypts them, and aggregates these into a centralized agreement for secure, efficient delivery.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If multiple sub-exchanges with varying mandates and regulations are handled manually, then flexibility and adaptability are maintained, but system complexity and error rates increase significantly

Engineering Contradiction:

Improveflexibility in handling varying mandatesVSAvoidsystem complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent segments the complex resource exchange process into distinct sub-exchanges, each handled by dedicated child NFTs and service delivery agreements. This segmentation allows different mandates and regulations to be managed independently while reducing overall system complexity through modular architecture.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces an intermediary LLM grid system that automatically generates service delivery agreements for sub-exchanges. This intermediary layer handles the complexity of varying mandates and regulations, allowing the main system to maintain flexibility without direct manual intervention in each sub-exchange.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Reliability

If manual verification and tracking of multiple exchanges is performed, then accuracy can be maintained, but time consumption and computational resource usage increase

Engineering Contradiction:

Improveaccuracy of resource exchangeVSAvoidtime consumption

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The patent implements self-service through automatic service delivery agreements generated by the LLM grid. The system automatically verifies, tracks, and executes exchanges without requiring manual intervention, maintaining accuracy while significantly reducing time consumption and computational resource usage.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent performs preliminary actions by pre-generating service delivery agreements and child NFTs before the actual resource exchange occurs. This preliminary setup includes all necessary verification and tracking mechanisms, eliminating the need for manual verification during execution and reducing overall processing time.

Inventive Principle:

Principle #10Preliminary action

3Loss of information

If detailed tracking of each sub-exchange is implemented, then completeness of resource exchange is improved, but computational overhead and processing complexity increase

Engineering Contradiction:

Improvecompleteness of exchange trackingVSAvoidcomputational resource usage

Core Design Contradiction:

Loss of informationVSUse of energy by moving object

Solution Approach 1:

The patent merges the tracking of multiple sub-exchanges into a unified parent NFT and centralized service delivery agreement. This consolidation maintains completeness of exchange tracking while significantly reducing computational overhead by processing all sub-exchanges through a single integrated framework rather than separate detailed tracking systems.

Inventive Principle:

Principle #5Merging (Combining)

Data Source

PatentUS20260057375A1System and method for aggregating digital resources via a large language model (LLM) grid with sealed interfaces for automatic service delivery

Publication Date: 2026.02.26 BANK OF AMERICA CORP

AI summary

Systems, computer program products, and methods are described herein aggregating digital resources via a large language model (LLM) grid with sealed interfaces for automatic service delivery. The present disclosure is configured to generate a parent non-fungible cryptographic token (NFT) for a primary exchange between an initiator and a receiver; generate a set of child NFTs from the parent NFT for a set of sub receivers within the primary exchange, where a child NFT is linked to a sub receiver; create a set of automatic service delivery agreements for each child NFT generated using a large language model (LLM) grid; encrypt the set of automatic service delivery agreements generated by the LLM grid; aggregate the set of automatic service delivery agreements into a centralized service delivery agreement; and transmit the centralized service delivery agreement to the initiator and the receiver.