Real-Time AI Template Section Selection to Reduce Navigation Complexity
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Solution Overview
Problem
Current template systems are inflexible and overly complex, often requiring users to navigate through extensive selections and adapt templates manually, leading to inefficiency and user frustration.
Innovation Solution
An AI-driven system that analyzes electronic content items to dynamically suggest relevant template subsections from multiple templates, reducing complexity by presenting only those subsections predicted to be relevant, using a language model trained on document templates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If comprehensive templates covering multiple use cases are provided, then template versatility is improved, but user navigation complexity increases
Solution Approach 1:
The patent segments comprehensive templates into multiple subsections that can be independently selected and combined. Instead of presenting users with complete templates as a monolithic choice, the system divides templates into manageable sections (e.g., cover pages, body sections, conclusion) that can be selectively assembled based on user needs, reducing navigation complexity while maintaining versatility
Solution Approach 2:
The patent introduces an AI-based intermediary system that acts as a mediator between the comprehensive template library and the user. This intermediary analyzes user requests, identifies relevant template sections, and presents them in a simplified manner, reducing the cognitive load on users while preserving access to comprehensive template options
2Quantity of substance
If complete templates are added all at once, then template completeness is improved, but user time and effort to adapt increases
Solution Approach 1:
The patent extracts and presents only the necessary template sections relevant to the user's specific needs rather than forcing complete templates onto users. The AI system identifies which template sections are most relevant based on the user's content creation context and presents only those, allowing users to quickly adapt without wading through unnecessary template sections
Solution Approach 2:
The patent applies partial action by providing only the essential template sections needed for the user's current task rather than the complete template set. This selective provision reduces the time and effort required for adaptation while still maintaining sufficient completeness for the user's specific use case
3Adaptability or versatility
If multiple template sections from different templates are combined, then user flexibility is improved, but system complexity increases
Solution Approach 1:
The patent creates a universal template section library that can be combined in multiple ways to serve different user needs. Template sections are designed with universal compatibility, allowing them to be mixed and matched across different templates and use cases. The AI system manages this universality by intelligently selecting compatible sections, reducing the apparent system complexity while enabling high user flexibility
Data Source
AI summary
A data processing system implements and iterative process for dynamically creating a template including receiving a request for a template suggestion for an electronic content item for an application on a client device. The request includes an identifier of the application and textual content from the first electronic content item. The system further implements providing the identifier of the first application and the textual content to a language model to obtain a template suggestion, the language model being trained to analyze the identifier of the application and the textual content and to output the template suggestion, the template suggestion comprising a template identifier and a first subsection identifier identifying a first subsection of the first template predicted to be relevant to the user for creating the electronic content item, sending the template suggestion to the client device, and causing the client device to present the template suggestion in the application.