Workspace AI Prompt Blocks for Context-Aware Content Generation
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Solution Overview
Problem
Existing digital workspaces lack efficient methods for generating and managing AI-generated content, saving and sharing prompts, and providing suggested prompts, leading to inefficiencies in content creation and collaboration.
Innovation Solution
Implementing a workspace with embedded AI blocks that generate content based on in-page content, allow for prompt saving and sharing, and suggest prompts based on text and location, utilizing a block data model for dynamic information management and a transformer neural network for AI assistance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If AI content generation is added to workspace, then content creation efficiency is improved, but system complexity increases
Solution Approach 1:
The patent embeds AI blocks within the existing workspace structure, where AI functionality is nested as contained elements rather than separate systems. The block data model allows AI blocks to be integrated into the hierarchical workspace architecture, with AI content generation nested within specific workspace blocks, reducing overall system complexity while maintaining enhanced productivity.
Solution Approach 2:
The workspace is segmented into discrete blocks, with AI functionality isolated to specific AI blocks. This segmentation allows AI content generation to be added without affecting the entire workspace system, enabling selective implementation and reducing perceived complexity while improving content creation efficiency in targeted areas.
2Adaptability or versatility
If prompt management features are added, then collaboration capability is improved, but ease of operation deteriorates
Solution Approach 1:
The block data model serves as a universal structure that handles both content storage and prompt management functions. Blocks can store various types of data including prompts, content, and metadata, eliminating the need for separate management systems. This multi-functionality improves collaboration capability while maintaining ease of operation through a unified interface.
Solution Approach 2:
Prompt management features are merged with the existing block-based workspace structure rather than implemented as separate functionality. Prompts are stored and managed within blocks alongside other content, combining multiple functions into a single cohesive system that enhances collaboration without adding operational complexity.
3Reliability
If real-time updates are implemented, then content freshness is improved, but system complexity increases
Solution Approach 1:
The block data model implements feedback mechanisms where blocks automatically update and synchronize changes across the workspace in real-time. When content or prompts are modified in one block, the changes are propagated through the system, ensuring content freshness without requiring complex centralized control systems.
Solution Approach 2:
Blocks autonomously manage their own updates and synchronization within the workspace system. The block data model enables self-service functionality where blocks automatically detect and propagate changes, maintaining content freshness through decentralized, autonomous operations rather than complex centralized management.
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.