Workspace Prompt Blocks for Context-Aware AI Content Generation
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Solution Overview
Problem
Existing digital workspaces lack efficient methods for generating AI-generated content, saving and sharing prompts, and suggesting prompts, which hinders user productivity and content creation efficiency.
Innovation Solution
Implementing a workspace with embedded blocks that utilize a generative AI system to create content based on in-page content, allowing users to save and share prompts, and suggesting prompts based on text content and location, enhancing user interaction with AI systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a workspace integrates generative AI content creation functionality, then content creation efficiency is improved, but device complexity increases
Solution Approach 1:
The patent embeds AI-generated content blocks directly within the workspace page structure, nesting content creation functionality inside the existing workspace framework. This allows AI content to be generated and displayed as embedded blocks that are part of the workspace's native content hierarchy, avoiding the need for separate external systems while maintaining enhanced content creation capabilities.
Solution Approach 2:
The workspace system automatically generates AI content based on user inputs and page context without requiring manual intervention for content creation. The generative AI system operates autonomously to create content blocks, saving time and improving productivity while the system manages the complexity of AI integration in the background.
2Adaptability or versatility
If the workspace provides prompt saving and sharing features, then user collaboration is improved, but device complexity increases
Solution Approach 1:
The patent combines prompt saving, sharing, and management functionalities into the existing workspace block structure. Prompts are stored as part of the workspace content and can be shared through the workspace's native collaboration mechanisms, merging prompt management with content management to avoid adding separate complex systems.
Solution Approach 2:
The workspace system provides universal prompt management that serves multiple functions: saving prompts for later use, sharing prompts across users, and suggesting prompts based on page context. This multi-functional approach consolidates various prompt-related operations into a single integrated system rather than requiring separate tools for each function.
3Adaptability or versatility
If the workspace generates AI content based on in-page content, then content customization is improved, but loss of time occurs during content generation
Solution Approach 1:
The system pre-loads and analyzes the in-page content structure and context before content generation is requested. By preparing the contextual understanding in advance, the AI can generate customized content more quickly when prompted, reducing the actual generation time while maintaining high customization based on the page's specific content.
Solution Approach 2:
The patent replaces manual content creation and customization processes with automated generative AI. Instead of users manually customizing content based on page context, the AI system automatically analyzes the in-page content and generates customized content blocks, significantly reducing the time required while improving adaptability to the specific page context.
Data Source
AI summary
A method for suggesting prompts on a page of a workspace includes receiving an input and displaying a prompt block configured to initiate a generative process to create in-block content in response to the input. The prompt block is embedded as an in-page object on the page. The method includes causing a large language model (LLM) system to create a set of suggested prompts. Each prompt includes instructions configured to create generative content of a respective type by the LLM system. The set of suggested prompts is created based on in-page text content or a relative location of the prompt block on the page. The method includes displaying the set of suggested prompts as a set of control items of the workspace. Each of the set of control items is selectable to input as a prompt for generating content based on existing content of the workspace.