Mother prompt

A structured prompt development process with interactive feedback and ethical checkpoints addresses the inefficiencies of LLMs, enhancing consistency and scalability, and improving user satisfaction in AI model integration.

JP2026034335APending Publication Date: 2026-02-27株式会社命
View PDF 0 Cites 0 Cited by

Patent Information

Application Number
JP2024151812
Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
Filing Date
2024-08-16
Publication Date
2026-02-27

AI Technical Summary

Technical Problem

Existing prompt engineering methods for large-scale language models (LLMs) are complex, lack consistency and quality, fail to leverage model characteristics, and face challenges with contextual understanding, ethical considerations, and scalability, and are inefficient due to token restrictions.

Method used

A structured prompt development process with interactive feedback loops, ethical checkpoints, and scalable knowledge sharing, utilizing a systematic approach to integrate domain-specific knowledge and adapt to user skill levels.

Benefits of technology

Reduces prompt development time by 40%, improves output consistency by 25%, and increases user satisfaction by 35%, enabling effective AI model integration across various industries.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure 2026034335000001
    Figure 2026034335000001
  • Figure 2026034335000002
    Figure 2026034335000002
  • Figure 2026034335000003
    Figure 2026034335000003
Patent Text Reader

Abstract

To provide an effective prompt development method and system using a AI assistant.SOLUTION: The present invention (a) defines a target outcome, (b) provides relevant reference materials, and (c) performs a prompt development process through interaction with a AI assistant. This process includes (c1) outcome definition and automatic criteria setting, (c2) effective prompt list generation, (c3) action plan submission, and (c4) personalized prompt generation. Each step incorporates a feedback loop to make adjustments as needed. (d) Evaluate and, if necessary, adjust the generated prompts. The method improves the efficiency of prompt development, output quality of the AI model, and user satisfaction.SELECTED DRAWING: None
Need to check novelty before this filing date? Find Prior Art

Description

[Technical Field]

[0001] The present invention relates to the field of artificial intelligence (AI) technology, and in particular to the efficiency and optimization of prompt engineering using large-scale language models (LLMs). [Background technology]

[0002] In recent years, the development of large-scale language models (LLMs) such as ChatGPT, GPT-4, and Claude has dramatically improved the capabilities of AI for natural language processing and generation. These AI models can perform advanced tasks when given appropriate prompts (instructions or questions).

[0003] However, creating effective prompts requires advanced skill and experience, which is a barrier for many users, and there are also challenges with the consistency and quality of the output of AI models.

[0004] Conventional prompt engineering methods are primarily based on trial and error and rules of thumb, lacking a systematic approach, and also failing to fully utilize the characteristics of AI models. Summary of the Invention [Problem to be solved by the invention]

[0005] The present invention aims to solve the above problems and provide a systematic method and system that enables effective prompt development. Specifically, the present invention aims to solve the following problems: 1. Eliminate the complexity and inefficiencies of prompt engineering 2. Improved consistency and quality of AI model output 3. Addressing the limitations of AI models' contextual understanding 4. Reducing the black-box nature of large-scale language models 5. Effective integration of domain-specific knowledge 6. Addressing ethical considerations and bias issues 7. Increased scalability and repeatability of the prompt development process 8. Effectively addressing token restrictions for AI models 9. Efficient integration of up-to-date information 10. Adapt to differences in user skill levels [Means for solving the problem]

[0006] To solve the above problems, the present invention proposes "Guidelines for developing effective prompts for AI assistants." These guidelines consist of the following main components: 1. A structured prompt development process 2. Interactive approach with AI 3. Build in feedback loops 4. How to effectively integrate reference materials 5. Introduction of the concept of information X (essential information) 6. Gradual Context Providing Mechanism 7. Integrating Ethical Checkpoints 8. Scalable Knowledge Sharing System

[0007] Combining these components enables effective prompt development and maximizes the capabilities of AI models. [Effects of the Invention]

[0008] The application of the present invention is expected to have the following effects: 1. Significant reduction in prompt development time (average 40% reduction) 2. Improved output quality of AI models (25% improvement in consistency) 3. Increased user satisfaction (average increase of 35%) 4. Promoting the use of AI in a wide range of industrial sectors 5. Accelerating innovation and creating new value DETAILED DESCRIPTION OF THE INVENTION

[0009] Hereinafter, embodiments of the present invention will be described in detail. 1. System Configuration

[0010] This invention is an AI chat interface that can be used in conjunction with existing AI chat interfaces (e.g. It can be implemented using ChatGPT, Claude, etc. Users access the system through a regular web browser or application. 2. Prompt Development Process

[0011] The core prompt development process of the present invention consists of the following steps: a) Outcome definition and automatic benchmark setting b) Effective prompt list generation c) Present an action plan d) Individual prompt generation 3. Detailed implementation steps

[0012] a) Open the AI ​​chat interface. b) Send the following prompt as the first message to the AI:

[0013] The core prompt development process of the present invention is as follows: Objective: Create an effective prompt development process to achieve user desired outcome Y. start: Desired outcome Y: [User input] Reference materials: #1: #2: #3: 1. Prompts for outcome definition and automatic benchmark setting a) Detailed definition of outcome Y (100 characters or less) b) Quantitative success metrics (3 or more) c) Qualitative indicators of success (3 or more) d) Recommended timeframe for achievement e) Two additional questions to refine this outcome definition and criteria Options for answering additional questions: -If you reply: Update the content based on the reply and confirm. -To skip: Go to the next step Review question: Is there anything you'd like to change or be concerned about in the output so far? [Wait for user response and correct as needed] 2. Effective prompt list generation prompts Each prompt should include: a) Title b) Purpose (within 30 characters) c) Contribution to achieving outcome Y (50 characters or less) Suggested number of prompts: 5-8 Response options for additional questions: [same as 1] Verification Question: [same as 1] 3. Prompt for action plan Elements to include: a) The order in which each prompt is executed b) Estimated time required for each step c) Major milestones and checkpoints (3 or more) d) Potential issues and countermeasures (2) e) Two questions to optimize this action plan: Response options for additional questions: [same as 1] Verification Question: [same as 1] 4. Prompts for individual prompt generation (including suggestions for information X) Please create details for each prompt in the order of the action plan you created in step 3. Repeat the following steps for each prompt: a) The title of the current prompt b) Information required for this prompt X (1-3 items) -We strongly request that you submit information X, which is essential to progress. -Please answer the following questions: "Can you provide the required information X (items 1-3)?" If "Yes": [Wait for information X to be submitted] "We've received information X. Let's move forward." If "No" or "Difficult": "Please tell me why it's difficult to submit information X." [Wait for user response] "We offer advice to help you obtain or create information X:" [Provide advice to assist in obtaining or creating information X] "Using these tips, is it possible to submit information X?" [Wait for user response] If "Yes": [Wait for information X to be submitted] "We've received information X. Let's move forward." If No: "It's difficult to proceed without information X. Do you want to pause the process or consider alternatives?" [Wait for user selection] c) Purpose of the prompt (50 characters or less) d) Step-by-step instructions (5 steps) e) Expected output format and details f) Three questions to improve this prompt g) Notes on using this prompt (2 points) Question Answer Options: -If you answer: Update the prompt based on your answer and confirm -If skipped: Generate prompt as is Verification Question: [same as 1] Prompt execution: -Perform selected prompts based on information X -Analysis results are output in the specified format - Considering token limitations, output in multiple batches as necessary -Check in at the end of each section -Warning and confirmation when approaching token limit After the prompt is generated: - Review the generated prompt -Confirm whether to proceed to the next prompt in the action plan -Repeat until all prompts are generated End: Confirmation of completion of prompt development process and acceptance of additional feedback Note: -Each step has the opportunity to answer additional questions and can be tailored based on user input. -Opportunity to review and revise content at the end of each section. - Submission of information X is mandatory, and assistance and advice is provided if submission is difficult.

[0014] HOW TO USE The effective use of the present invention is as follows: 1. Enter the desired outcome Y: TIFF2026034335000001.tif9166"Developing an Effective Marketing Strategy" 2. Providing references: Examples of references for better results: TIFF2026034335000002.tif281493. Process execution: TIFF2026034335000003.tif151584. Feedback and adjustments: TIFF2026034335000004.tif151645. Practice and Evaluation: TIFF2026034335000005.tif161566. Continuous improvement: TIFF2026034335000006.tif15155 [Industrial Applicability] The present invention is particularly applicable in the following industrial fields: 1. Content production industry 2. Marketing and advertising industry 3. Education and e-learning industry 4. Customer Support Industry 5. Product Development and Innovation 6. Legal and Compliance Industry 7. Research and Development Department 8. Human resources / recruitment industry 9. Finance and investment industry 10. Entertainment Industry The introduction of this invention in these industries is expected to create significant economic value, such as increased productivity, improved quality, and promoted innovation.

Claims

1. A method for developing effective prompts using an AI assistant, comprising: (a) defining the desired outcome; (b) providing reference materials related to said results; (c) through interaction with the AI ​​assistant, performing a prompt development process including the following substeps: (c1) outcome definition and automatic benchmark setting; (c2) generating effective prompt lists; (c3) Presenting an action plan; (c4) generating individual prompts; (d) evaluating the generated prompts and adjusting them as necessary; A prompt development method comprising:

2. 2. The prompt development method of claim 1, The method, wherein step (c4) includes a step of identifying important information (information X) required for each prompt and prompting for the provision of that information.

3. 3. The prompt development method according to claim 1, further comprising: The method of claim 1, wherein step (c) includes a feedback loop that provides an opportunity for review and correction at the end of each sub-step.

4. 4. The prompt development method according to claim 1, further comprising: The method further comprises using the generated prompts in an actual task and repeating the prompt development process based on the results.

5. A computer program for carrying out the prompt development method according to any one of claims 1 to 4.

6. An effective prompt development system using an AI assistant, A means of inputting desired outcomes; a means of providing reference materials; a dialogue management module that manages dialogue with the AI ​​assistant; a process execution module that executes the prompt development process; an evaluation and adjustment module that evaluates and adjusts the generated prompts; A system comprising: