GPT User Guide Generator
Metadata
Type | Tool | Model | Knowledge |
---|---|---|---|
Prompt | ChatGPT | GPT-4o | No |
Overview
GPT User Guide Generator builds off of my work on the GPT Diagnostic tool. It uses model introspection to understand a GPT’s core mechanics and capabilities, then uses that understanding to generate a quick-start guide for everyday users.
Key Features
This prompt generates a quick-start guide for everyday users that shares:
- Purpose and Audience
- Core Strengths
- How to Structure Messages for Best Results
- Effective Workflow for Interaction
- Tips for Interaction
- Example Messages
The prompt intentionally follows a structured format that could be automated across the GPT marketplace.
How I Use It
I intended for this prompt to be a prototype for a tool used in the GPT Store to help automate the creation of user guides for new GPTs.
Knowledge Context
Prompt
Please create a one-page quick-start user guide for interacting with this custom GPT model, referring to it by its existing name throughout the guide. The guide should be concise, practical, and directly actionable, helping new users optimize their interactions for effective learning and clear responses. Target a word limit of approximately 400 words, and use headings and bullet points to organize the information for easy readability. The guide should include the following elements:**
1. **Purpose and Audience**: Briefly summarize the model’s purpose and describe the types of users who would benefit most from interacting with it, using the model's name to refer to it.
2. **Core Strengths**: Outline the unique capabilities or strengths that distinguish this model from general ChatGPT usage, highlighting why users might find it especially effective for complex topics.
3. **How to Structure Messages for Best Results**: Provide directly actionable tips on how users should phrase their messages or requests to receive the most productive answers. Include specific examples if possible.
4. **Effective Workflow for Interaction**: Suggest a simple, step-by-step workflow that users can follow to engage productively with the model, ensuring they receive responses that meet their needs.
5. **Tips for Interaction**: Offer additional best practices for phrasing, sequential messaging, and follow-ups to maximize clarity and relevance in responses.
6. **Example Messages**: Provide a few example messages in different styles (e.g., deep dives, analogies, practical applications) to demonstrate effective ways of framing queries.
Example Response
The resulting guide demonstrates how model introspection can be used to create clear, actionable guidance for users. Note how it maintains Universal Primer’s teaching-focused identity while providing practical interaction tips:
# Quick-Start Guide to Using **Universal Primer**
Welcome! This guide will help you get the most out of Universal Primer, a custom GPT model designed to make complex topics clear and accessible, especially for users aiming for a deep, technical understanding.
---
### 1. Purpose and Audience
**Universal Primer** is crafted for learners who want a thorough breakdown of challenging subjects. If you’re tackling complex ideas, need to understand intricate details, or want concepts explained with relatable analogies, this model is for you. It’s ideal for students, educators, researchers, or professionals looking to clarify, expand, or deepen their technical knowledge.
---
### 2. Core Strengths
- **Layered Explanations**: Universal Primer specializes in breaking down advanced topics into digestible steps, even recursive sub-steps if needed.
- **Relatable Analogies**: Uses everyday analogies to make dense material approachable and easy to visualize.
- **Active Engagement**: Checks your understanding and offers feedback, building from foundational concepts to more complex ideas.
---
### 3. How to Structure Messages for Best Results
For optimal answers, be clear and specific with your questions. Here are some tips:
- **State Your Goal**: Mention your learning objective or area of confusion. Example: “I want to understand how neural networks generalize but struggle with the math.”
- **Request Detail Level**: Specify the level of technical depth. Example: “Explain the basics of differential equations as if to a beginner.”
- **Ask for Analogies or Examples**: If analogies help you learn, ask directly. Example: “Could you use a real-world analogy to explain Fourier transforms?”
- **Focus on One Concept**: Start with a single topic per message. Example: “Please explain entropy in information theory.”
---
### 4. Effective Workflow for Interaction
1. **State Your Objective**: Begin with a clear goal, such as understanding or applying a topic.
2. **Provide Context**: Share any background knowledge or specific challenges you’re facing.
3. **Specify Depth**: Note if you need a beginner’s overview or an advanced dive.
4. **Review & Follow-Up**: After each response, confirm your understanding or ask for clarification on parts that are still unclear.
---
### 5. Tips for Interaction
- **Sequential Messaging**: If the explanation is lengthy, ask for summaries or breakpoints.
- **Clarify Gaps**: Universal Primer adapts based on your feedback. Point out any gaps or confusing areas.
- **Request Practical Applications**: If relevant, ask how theories apply practically. Example: “How does this principle apply in real-world engineering?”
---
### 6. Example Messages
**Deep Dive**
“Can you explain the process of backpropagation in neural networks? I understand basic calculus but need clarity on the chain rule’s application.”
**Analogy Request**
“I’m confused about quantum superposition. Could you explain it using an everyday analogy?”
**Practical Application**
“How would the principles of thermodynamics apply in designing an energy-efficient building?”
Use these examples and tips to structure your questions effectively. **Universal Primer** is here to make learning intuitive, so dive in, experiment with phrasing, and refine your understanding in each interaction!