AI Smart Contract Decoding System

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Current methods for deciphering smart contracts require human intervention, leading to potential errors, fraud, and scams, as new owners of tokens must understand complex contract terms, which is not feasible without professional coding assistance.

Innovation Solution

A system utilizing artificial intelligence and machine learning to decode and encode smart contracts, translating coded programming into laymen terms and vice versa, ensuring accurate, bias-free, and fraud-resistant processing.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If human coders are used to decode smart contracts, then contract terms can be understood, but human error, fraud, and scams may occur

Engineering Contradiction:

Improveaccuracy of contract decodingVSAvoidhuman error and fraud

Core Design Contradiction:

ReliabilityVSObject-affected harmful factors

Solution Approach 1:

The patent replaces the mechanical system of human manual decoding with an automated computer-based system that uses machine learning models and natural language processing algorithms to decode smart contracts, thereby eliminating human error and fraud while maintaining decoding accuracy

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables smart contracts to be decoded automatically without requiring human intervention, using self-contained algorithms and machine learning models that process contract code and generate human-readable explanations autonomously

Inventive Principle:

Principle #25Self-service

2Measurement precision

If professional coders are hired to decipher smart contracts, then accurate understanding is achieved, but cost and time increase

Engineering Contradiction:

Improveunderstanding accuracyVSAvoidtime to decode contract

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent substitutes manual professional coding work with an automated computational system that processes smart contract decoding in seconds or minutes, dramatically reducing the time required while maintaining high accuracy through algorithmic analysis and natural language generation

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system performs preliminary analysis of smart contract code structures and patterns during the model training phase, enabling rapid decoding of new contracts without requiring time-consuming manual review of each individual contract

Inventive Principle:

Principle #10Preliminary action

3Adaptability or versatility

If smart contracts are encoded in complex programming language, then functional requirements are met, but user comprehension becomes difficult

Engineering Contradiction:

Improvecontract functionalityVSAvoiduser understanding

Core Design Contradiction:

Adaptability or versatilityVSEase of operation

Solution Approach 1:

The patent introduces an intermediary layer that translates complex programming language into natural language explanations, allowing users to comprehend smart contract terms without needing to understand the underlying code, while the system maintains full functionality by operating on the original code

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system segments the complex smart contract code into distinct functional components and explains each segment separately in natural language, making the overall contract more comprehensible to users while preserving the complete functional requirements

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS20250014029A1System and method for smart contract decoding and encoding

Publication Date: 2025.01.09 VCB TECH LLC

AI summary

A system and method for configuring a blockchain platform that stores at least one token. The at least one token can be retrieved from the blockchain platform to obtain contents of a contract within the at least one token. An artificial intelligence/machine learning (AI/ML) engine can be applied to decode the contract to obtain the contents of the contract. The contents of the contract can be verified based on the decoding by the AI/ML engine.