AI-Generated Storage Data for No-Code Database Verification

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Solution Overview

Problem

Existing technologies requiring users to provide original data for conversion into dummy data or code generation in databases are cumbersome, necessitating significant user effort and reducing convenience.

Innovation Solution

A work support system utilizing AI to generate storage data for databases designed with no-code or low-code, allowing users to input minimal instructions for the AI to create necessary data without manual data provision.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If users provide original data for conversion into dummy data or code generation in databases, then data can be stored and processed, but user effort and time consumption increase significantly

Engineering Contradiction:

Improvedata availabilityVSAvoiduser time and labor

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system enables self-service by allowing the database to automatically generate its own dummy data and verification codes without requiring user input. The database uses its stored field information to autonomously create test data, eliminating the need for users to manually provide original data for conversion.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system performs preliminary action by pre-storing field information (such as data types, constraints, and relationships) in the database. This pre-prepared metadata enables the automatic generation of dummy data and verification codes without requiring users to provide original data at the time of verification.

Inventive Principle:

Principle #10Preliminary action

2Reliability

If users manually input data for database verification, then verification can be performed, but convenience is reduced and setup time increases

Engineering Contradiction:

Improveverification capabilityVSAvoiduser convenience

Core Design Contradiction:

ReliabilityVSEase of operation

Solution Approach 1:

The database performs self-service verification by automatically generating dummy data and verification codes using its own stored field information. This eliminates the need for users to manually input verification data, significantly improving ease of operation while maintaining verification capability.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system uses stored field information as an intermediary between the database structure and verification processes. This intermediary contains all necessary metadata (data types, constraints, relationships) that enables automatic generation of verification data without direct user involvement.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Loss of information

If dummy data is generated from user-provided original data, then data patterns can be represented, but the process requires significant user labor

Engineering Contradiction:

Improvedata pattern representationVSAvoidprocess complexity

Core Design Contradiction:

Loss of informationVSDevice complexity

Solution Approach 1:

The database autonomously generates dummy data that represents data patterns by utilizing its own stored field information. This self-service approach eliminates the need for users to provide original data, reducing process complexity while maintaining the ability to represent data patterns through generated dummy data.

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS20250307225A1Work support system, work support method, and information storage medium

Publication Date: 2025.10.02 CYBOZU

AI summary

Provided is a work support system, which is configured to support work of a user through use of a database designed with no-code or low-code, the work support system including at least one processor configured to: acquire field information relating to each field of the database; execute, based on the field information and an AI, generation-related processing relating to generation of storage data to be stored in the database; and store the storage data in the database.