AI Prompt Templates With Parameter Reuse and Duplicate Caching
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Solution Overview
Problem
Current technologies lack efficient methods for sharing and reusing AI prompts across teams and organizations, do not provide intelligence to improve AI prompt text, adjust parameters, or change AI language models, and do not manage identical AI prompts generated by different teams, leading to redundant efforts and increased costs.
Innovation Solution
A centralized platform with a drag-and-drop graphical user interface for creating, sharing, and integrating AI prompts, along with intelligent recommendations for improving prompt text and adjusting parameters, and caching generated prompts for reuse, utilizing a templating engine software application to reduce duplication and enhance AI response quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If AI prompts are generated manually by each team independently, then each team can create customized prompts, but this leads to redundant efforts and increased operational costs
Solution Approach 1:
The patent segments AI prompt creation into modular templates with configurable parameters. Each template represents a reusable unit that can be independently configured and shared across teams, eliminating redundant manual creation while maintaining customization through parameter adjustment.
Solution Approach 2:
The patent implements a centralized repository that stores and manages AI prompt templates. Teams can copy existing templates and modify them through parameter configuration rather than creating prompts from scratch, significantly reducing operational effort while preserving adaptability.
2Ease of operation
If AI prompts are not centralized and managed, then teams have full control over their prompts, but identical prompts generated by different teams incur redundant costs
Solution Approach 1:
The patent merges分散的 AI prompt management into a centralized platform that consolidates templates, parameters, and generated prompts. This allows teams to maintain operational autonomy while the system identifies and manages duplicate prompts to eliminate redundant costs.
Solution Approach 2:
The patent implements a feedback mechanism where the centralized system tracks prompt usage across teams, identifies duplicates, and provides recommendations to consolidate identical prompts, thereby reducing operational costs while maintaining team control.
3Extent of automation
If no intelligent recommendations are provided, then users can freely generate prompts, but there is no intelligence to improve prompt text or adjust parameters
Solution Approach 1:
The patent implements an intelligent recommendation system that analyzes user-generated prompts and automatically provides suggestions for improvement. The system serves itself by learning from prompt patterns and providing targeted recommendations to enhance prompt quality without restricting user freedom.
Solution Approach 2:
The patent provides preliminary intelligent recommendations before users finalize their prompts. The system analyzes draft prompts and suggests parameter adjustments or text improvements in advance, allowing users to make informed decisions while maintaining creative control.
4Reliability
If AI prompts are not cached for reuse, then each generation is fresh and potentially optimized, but this increases processing time and operational costs
Solution Approach 1:
The patent caches generated AI prompts and their results in a centralized repository. When the same prompt parameters are requested again, the system retrieves the cached result instead of regenerating it, significantly reducing processing time while maintaining response consistency through identical parameter usage.
Solution Approach 2:
The patent implements a caching system that stores prompts based on their parameter configurations. When parameters remain unchanged, the cached result is returned; when parameters change, a new generation is triggered. This balances response consistency with efficient resource utilization.
Data Source
AI summary
Aspects of the subject disclosure may include, for example, obtaining first user-generated input from a first communication device, the first user-generated input indicates generating of a first artificial intelligence (AI) prompt. that the first AI prompt includes a first group of configurable parameters. Further embodiments can include generating the first AI prompt that includes the first group of configurable parameters, and obtaining second user-generated input, the second user-generated input indicates a value for each of the first group of configurable parameters resulting in a group of values. Additional embodiments can include generating an AI response based on the first AI prompt and the group of values associated with the first group of configurable parameters utilizing an AI software application, the AI software application implements a selected AI model to generate the AI response, and providing the AI response to the first communication device. Other embodiments are disclosed.