Language-Model Website Assembly for Low-Input Personalization

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Solution Overview

Problem

Conventional website builders require extensive manual user input for design, content creation, and SEO optimization, leading to time-consuming and labor-intensive website development that often results in generic, formulaic websites lacking personalization and failing to balance aesthetics with usability.

Innovation Solution

The Website Assembly with Large Language Models (WALLM) software automates website creation by using language models to generate structure, content, and design elements, minimizing user input to brand name and description, and applying industry standards and best practices for professional results.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If conventional website builders are used, then websites can be created with manual user control, but the process becomes time-consuming and labor-intensive

Engineering Contradiction:

Improvemanual user controlVSAvoidwebsite development time

Core Design Contradiction:

Ease of operationVSLoss of time

Solution Approach 1:

The system enables self-service website generation by automatically creating websites from minimal user input (brand name and description). The AI model autonomously performs content generation, design selection, and website assembly without requiring manual user control at each step, thereby resolving the contradiction between ease of operation and time consumption.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system performs preliminary actions by pre-generating website content, selecting design elements, and structuring the website before user review. This advance preparation automates the time-consuming manual tasks while preserving user control for final decisions, effectively reducing overall development time.

Inventive Principle:

Principle #10Preliminary action

2Ease of operation

If conventional website builders are used, then websites can be customized manually, but the results become generic and formulaic

Engineering Contradiction:

Improvemanual customizationVSAvoidwebsite quality and personalization

Core Design Contradiction:

Ease of operationVSEase of manufacture

Solution Approach 1:

The system changes the fundamental parameters of website generation by transitioning from manual template selection to AI-driven content creation. The AI model generates unique website content based on the brand name and description, fundamentally altering the customization approach from selecting pre-made templates to creating original content, thereby eliminating generic results while maintaining ease of use.

Inventive Principle:

Principle #35Parameter changes

3Adaptability or versatility

If extensive manual input is required, then websites can be highly personalized, but the development process becomes labor-intensive

Engineering Contradiction:

Improvewebsite personalizationVSAvoiduser input requirements

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system extracts and automates the complex tasks of website content generation, design selection, and structural organization. By taking out these labor-intensive functions and handling them automatically through AI, the system maintains high website personalization based on brand identity while dramatically reducing user input requirements to just brand name and description.

Inventive Principle:

Principle #2Taking out (Extraction)

4Productivity

If manual design and content creation are performed, then websites can be optimized for aesthetics and usability, but the process fails to balance both effectively

Engineering Contradiction:

Improvewebsite creation speedVSAvoidaesthetics and usability balance

Core Design Contradiction:

ProductivityVSManufacturing precision

Solution Approach 1:

The AI model serves as an intermediary between the user's brief input and the final website output. It mediates the complex task of balancing aesthetics and usability by automatically selecting appropriate design elements, generating relevant content, and structuring the website according to best practices, thereby achieving professional-quality balance without requiring manual optimization.

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS12499172B1Website generation using language models

Publication Date: 2025.12.16 HOSTINGER OPERATIONS UAB

AI summary

Generating a website includes receiving a brand name and a website description. User preferences are extracted from the website description using a language model. A website structure including pages and sections is determined based on the user preferences using the language. Website content for the pages and the sections are generated using the language model based on the brand name and the website description. The website structure and the website content are assembled into a data structure representing a hierarchical arrangement of the pages and the sections. The data structure is rendered as a browser-compatible website.