Human-Augmented Messaging Platform With AI Scoring
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Solution Overview
Problem
Current communication platforms, such as text and chat messaging, lack the ability to provide high-quality, efficient, and consistent interactions between consumers and businesses, necessitating a more advanced system for human-augmented communications.
Innovation Solution
A human-augmented messaging platform that utilizes AI to enhance response generation and offloads computational tasks, allowing users to collaborate and augment each other's responses, with a scoring system to select the most accurate answers, thereby reducing the computational load on user devices and improving response accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional communication platforms are used for consumer-business interactions, then basic messaging functionality is provided, but communication quality, efficiency, and consistency remain insufficient
Solution Approach 1:
The patent introduces an AI intermediary that mediates between consumers and businesses by generating suggested responses, summarizing conversations, and providing contextual information. This intermediary enhances communication quality and efficiency without requiring direct human intervention in every interaction, resolving the contradiction between basic functionality and high-quality interactions.
Solution Approach 2:
The system enables self-service communication through AI-generated responses and automated summarization capabilities. Businesses can maintain consistent communication quality through AI-assisted response generation, while consumers receive timely responses without requiring human agents for every query, thereby improving both efficiency and reliability.
2Measurement precision
If AI-based techniques are used to generate responses to user queries, then response accuracy is improved, but computational load on user devices increases
Solution Approach 1:
The patent extracts the computationally intensive AI processing from user devices and relocates it to server-based infrastructure. The user device only needs to send queries and receive responses, while the heavy computational work of generating AI responses and analyzing data is performed remotely, maintaining high response accuracy without burdening user device resources.
Solution Approach 2:
The system introduces a server-based AI intermediary that handles all computational processing. The intermediary receives queries from user devices, performs complex AI analysis and response generation, then returns results to the user device. This intermediary architecture provides accurate AI-generated responses while keeping user devices lightweight and energy-efficient.
3Reliability
If multiple users collaborate to augment responses in real-time, then response quality and consistency are improved, but system complexity increases
Solution Approach 1:
The patent implements a feedback mechanism where multiple users can review, edit, and augment AI-generated responses in real-time. The system tracks these modifications and provides feedback loops that allow collaborative refinement of responses. This feedback-based collaboration improves response consistency while the automated coordination of multiple users manages system complexity through structured interaction protocols.
Data Source
AI summary
The present disclosure is generally directed to the field of human-augmentation using computing devices and techniques. In particular, a computer-implemented method may include: (1) identifying, via a message identification component, at least one message associated with a message exchange platform, the message including a query; (2) transmitting, via a communication component, the message to one or more users at respective user devices; (3) receiving, via a recommendation component, responses to the query from the respective user devices; (4) determining, via a scoring component, respective scores of the responses; and (5) selecting, via the scoring component, at least one response having a score exceeding a predetermined threshold. Various other methods, systems, devices, and computer-readable media are also disclosed.