Property Data Processing Layer for Chatbot Hallucination Control

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Solution Overview

Problem

Existing systems for providing property improvement recommendations using chatbots or voice bots often generate ineffective or misleading recommendations due to limitations in understanding user-specific property data and metrics.

Innovation Solution

A computer-implemented method and system that generates higher quality prompts to improve the accuracy of information provided by chatbots or voice bots, by incorporating specific property data and metrics into the prompts, thereby enhancing the relevance and accuracy of recommendations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If chatbots using GPT models are used directly to provide property improvement recommendations, then the system can generate responses quickly and engage users, but the recommendations become inaccurate and misleading due to hallucinations

Engineering Contradiction:

Improveresponse generation speedVSAvoidrecommendation accuracy

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

A property data processing layer is introduced as an intermediary between the user's property information and the GPT chatbot. This layer extracts, validates, and structures property data (including property metrics, features, and historical information) before passing it to the chatbot via enhanced prompts, preventing hallucinations while maintaining rapid response generation

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system performs preliminary processing of property data by extracting relevant information, validating data quality, and preparing structured prompts before the chatbot generates responses. This preliminary action ensures the chatbot receives accurate, context-rich information that prevents hallucinations and improves recommendation reliability

Inventive Principle:

Principle #10Preliminary action

2Device complexity

If traditional search engines are used to find property improvement recommendations, then the system is simple to implement, but it fails to satisfy customized homeowner needs

Engineering Contradiction:

Improvesystem simplicityVSAvoidcustomization capability

Core Design Contradiction:

Device complexityVSAdaptability or versatility

Solution Approach 1:

The system applies local quality by tailoring recommendations to specific property characteristics and homeowner needs. The property data processing layer extracts local property metrics (age, location, style, condition) and incorporates them into personalized prompts, enabling customized recommendations that traditional search engines cannot provide

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The system dynamically adapts to different property types and homeowner requirements by adjusting the prompt generation process. The property data processing layer dynamically selects and weights relevant property features based on the specific property characteristics, enabling versatile customization without requiring a completely new system architecture

Inventive Principle:

Principle #15Dynamics

3Stability of the object's composition

If chatbots make up erroneous or misleading facts to provide recommendations, then the system can maintain consistent responses, but the recommendations become unreliable and harmful

Engineering Contradiction:

Improveresponse consistencyVSAvoidmisleading information

Core Design Contradiction:

Stability of the object's compositionVSObject-generated harmful factors

Solution Approach 1:

The property data processing layer provides continuous feedback to the chatbot by validating property information and correcting misconceptions in real-time. The system monitors chatbot responses against verified property data and adjusts prompts to prevent the generation of misleading information while maintaining response consistency

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system applies preliminary anti-action by preventing hallucinations before they occur. The property data processing layer validates and verifies property information upfront, creating a foundation of accurate data that prevents the chatbot from generating misleading facts, rather than attempting to correct errors after they occur

Inventive Principle:

Principle #9Preliminary anti-action

Data Source

PatentUS20250029192A1Method and system for property improvement recommendations

Publication Date: 2025.01.23 STATE FARM MUTAL AUTOMOBILE INSURANCE COMPANY

AI summary

Apparatuses, systems and methods are disclosed for providing property improvement recommendations. The method comprises: (1) receiving, by one or more processors from a user, a first prompt associated with a property; (2) generating, by the one or more processors, a second prompt based upon the first prompt, data associated with the property and one or more property metrics associated with the property; (3) transmitting, by the one or more processors to a chatbot, the second prompt to generate a response, the response comprising a recommended action associated with the property; and/or (4) presenting, by the one or more processors, the response to the user.