Dual-Layer Generative Content Architecture for Tool-Resilient Workflows
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Solution Overview
Problem
Existing UI generation methods tightly couple user intent understanding with implementation, limiting independent evolution and failing to preserve user intent over time, and LLMs require continuous involvement for repetitive tasks, leading to inefficiency and reliability issues due to tool availability and integration challenges.
Innovation Solution
A dual-layer architecture separates semantic and computational layers, allowing independent evolution of user intent understanding and technical implementation, using execution blueprints to abstract functional requirements and enable tool substitution without continuous LLM engagement, and automatic data transformations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If LLMs are integrated with external tools to overcome limitations, then functional capabilities are improved, but system complexity and reliability issues increase due to tool availability and integration challenges
Solution Approach 1:
The patent introduces an intermediary layer (tool interface abstraction layer) that mediates between the LLM and external tools. This layer standardizes tool interactions, manages tool availability, and handles integration challenges centrally, reducing system complexity while maintaining enhanced functional capabilities through tool integration
2Manufacturing precision
If LLMs actively manage each step of tool-based workflows, then task completion accuracy is improved, but efficiency decreases due to continuous LLM involvement in repetitive tasks
Solution Approach 1:
The patent segments the workflow management into two parts: LLM handles high-level task planning and complex decision-making, while automated workflow engines handle repetitive execution steps. This segmentation allows the LLM to focus on accuracy-critical tasks while automated systems handle efficiency-critical repetitive tasks, resolving the contradiction between task completion accuracy and efficiency
3Productivity
If saved tool sequences are used to reduce decision-making overhead, then efficiency is improved, but reliability decreases when tools become unavailable or update interfaces
Solution Approach 1:
The patent implements dynamic workflow sequences that can adapt at runtime. The system monitors tool availability and interface changes, automatically adjusting or substituting tools in saved sequences. This dynamic approach maintains efficiency through pre-defined sequences while ensuring reliability through automatic adaptation when tools become unavailable or update
4Device complexity
If direct coupling is used between user intent understanding and implementation generation, then system simplicity is maintained, but adaptability decreases as improvements in one area constrain the other
Solution Approach 1:
The patent segments the system into distinct modules: user intent understanding module, workflow planning module, and implementation generation module. These modules communicate through standardized interfaces, maintaining system simplicity through clear boundaries while enabling independent evolution of each module to improve adaptability
Data Source
AI summary
A system receives an input from a user directed at a dynamic layout software program. The system generates a representation of the input based at least on the input. The representation specifies at least a user intent to be fulfilled by the program and a set of parameters for fulfilling the user intent. The system identifies an execution blueprint based on the representation from a repository storing a plurality of execution blueprints. The system integrates a set of procedural slots and identifiers of one or more external executable routine tools included in the execution blueprint with the representation of the input to compile a set of ephemeral instructions. The system executes the set of ephemeral instructions to generate a dynamically determined response to the user input.