Sender-Centric Generative AI Email Client for Relationship-Aware Responses

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Solution Overview

Problem

Existing email communication systems lack the ability to generate personalized responses based on the sender's relationship with the recipient, leading to generic and often impersonal interactions.

Innovation Solution

Implementing a generative artificial intelligence (AI) system within an email client that uses a large language model to analyze sender-specific data and generate customized responses based on the relationship between the sender and recipient, displayed within the email client.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If a generative AI system with large language model is implemented to generate personalized responses, then the personalization and communication quality are improved, but the device complexity and computational resources required increase

Engineering Contradiction:

Improvepersonalization capabilityVSAvoidsystem complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent introduces a generative AI system with a large language model as an intermediary component between the email client and the user. This intermediary analyzes sender-specific data and generates personalized responses, resolving the contradiction by adding a specialized component that provides adaptability without requiring the entire email client system to become overly complex. The AI model acts as a mediator that handles the complex personalization tasks independently.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The email client system is segmented into distinct functional components: the traditional email client interface and the separate generative AI system. This segmentation allows the personalization capability to be added as a modular component rather than redesigning the entire system, thereby improving adaptability while managing device complexity through functional separation.

Inventive Principle:

Principle #1Segmentation

2Reliability

If sender-specific data analysis is performed to generate customized responses, then the communication quality is improved, but the processing time and computational resources increase

Engineering Contradiction:

Improvecommunication qualityVSAvoidresponse generation time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system performs preliminary analysis of sender-specific data and relationship context before generating responses. By pre-processing and analyzing available data about the sender and their relationship with the recipient, the system prepares contextual understanding in advance, which enables faster and more accurate personalized response generation when an email requires a reply.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The generative AI system autonomously analyzes sender-specific data and generates personalized responses without requiring manual user input for each interaction. This self-service capability allows the system to automatically process and personalize responses based on available data, improving communication quality while minimizing the time users need to spend on manual response crafting.

Inventive Principle:

Principle #25Self-service

3Productivity

If personalized responses are generated based on relationship data, then user engagement is improved, but the data processing requirements and system resources increase

Engineering Contradiction:

Improveuser engagementVSAvoidcomputational resource consumption

Core Design Contradiction:

ProductivityVSUse of energy by moving object

Solution Approach 1:

The system applies local quality by analyzing and processing only the specific sender-specific data relevant to each interaction rather than processing all available data universally. The generative AI focuses on relationship context and sender characteristics that are locally relevant to the particular email exchange, thereby improving personalization and user engagement while reducing overall computational resource consumption by avoiding unnecessary data processing.

Inventive Principle:

Principle #3Local quality

Data Source

PatentUS20250274408A1Generative artificial intelligence email client with sender centric capabilities in an immersive environment

Publication Date: 2025.08.28 LAMBERT MARK

AI summary

The present technology provides mixed reality methods and systems for enhanced email communication by generating sender-centric responses in an email client. The email client takes sender-specific data and data used to determine the relationship between the sender and receiver. This data is then used as input for a trained receiver-specific generative AI model. The generative AI model generates a custom response for a inbound emails that are displayed in a mixed reality environment of the email client.