🤖Introducing the Prompt Engine System: A New Way to Create Interactive Prompts

With my original Bot Generator Bot surpassing 5 million downloads since March. I thought it was time to re-imagine my approach to prompt templates and structure to include everything I've learned over the last few months.

In today's fast-paced digital world, interactive prompts have become an essential tool for enhancing user experiences across a wide range of applications. Whether it's a virtual assistant guiding you through your day, an educational platform providing personalized learning experiences, or a customer support chatbot offering instant assistance, interactive prompts play a crucial role in facilitating meaningful interactions between users and digital platforms.

To address the growing demand for dynamic and customizable prompts, I am excited to introduce the Prompt Engine System—a versatile and powerful solution for creating interactive prompts that adapt to user preferences and requirements.

Introducing The Prompt Engine System

The Prompt Engine System is a template-based framework designed to empower prompt engineers and programmers to create interactive prompts with ease. It offers a wide range of personalization options, commands, and features that allow users to create content tailored to their specific needs.

The system is built around the concept of TOML (Tom's Obvious, Minimal Language) configuration files, which provide a human-readable and easy-to-understand format for defining the structure and behavior of interactive prompts. With the Prompt Engine System, users can define everything from the complexity of content and interaction styles to the rules and commands that govern the prompt's behavior.

Key Features of the Prompt Engine System

• Personalization: The Prompt Engine System offers a comprehensive set of personalization options that allow users to customize the content and interactions based on their preferences. This includes options for selecting domains of interest, adjusting content complexity, and choosing interaction styles.
• Commands: The system provides a rich set of commands that users can input to interact with the platform. These commands enable users to navigate the content, request help, provide feedback, and perform various other actions.
• Rules: The Prompt Engine System allows users to define rules that govern the behavior of the prompt. These rules ensure that users adhere to certain guidelines and restrictions while interacting with the platform.
• Formats: The system offers various format settings that can be used to customize the presentation and structure of the content. This includes options for configuring the platform, setting reminders, and evaluating performance.
• Settings: The Prompt Engine System provides a range of settings that enhance the functionality of the platform. This includes options for integrating plugins, enabling internet access, using emojis, and supporting programming languages.

Use Cases

The versatility of the Prompt Engine System makes it suitable for a wide range of use cases, including:

• Educational Platforms: Create interactive learning experiences that adapt to the learner's level of expertise.
• Customer Support: Build dynamic customer support prompts that provide relevant information and assistance.
• Virtual Assistants: Develop virtual assistants that provide personalized support and understand natural language input.
• Interactive Narratives: Craft interactive narratives and storytelling experiences that adapt to user choices.
• Data Visualization: Design interactive data visualization tools for exploring and analyzing data.
• Workflow Automation: Develop workflow automation tools that guide users through complex tasks and processes.

Examples

See complete list of prompts.

The Prompt Engine System is designed to be flexible and adaptable, allowing users to create both simple and advanced interactive prompts. For example, a basic prompt for a virtual assistant might include a few commands for asking questions and setting reminders, while a more advanced prompt for an educational platform might include multiple domains, complexity levels, and interaction styles.

Simple Example

In this simple example, we demonstrate how to create a basic prompt that allows users to choose their area of interest and receive content based on their selection.

[prompt]
Author = "rUv"
name = "Area of Interest Selector"
forked_from = "ruvnet"
version = "1.0"

# initial prompt
# Purpose: The initial prompt welcomes the user to the Area of Interest Selector and explains the purpose of the bot.
# It also informs the user that the bot will demonstrate how to create a basic prompt that allows users to choose their area of interest and receive content based on their selection.
init = "Welcome to the Area of Interest Selector. This bot will demonstrate how to create a basic prompt that allows users to choose their area of interest and receive content based on their selection. Let's get started!"

[prompt.features.personalization.domains]
Description = "Choose your area of interest."
Domain_A = "Science"
Domain_B = "History"

[prompt.commands.commands]
Description = "Available commands."
help = "Get help."
choose_domain = "Choose your area of interest."]        

Advanced Example

In this advanced example, we demonstrate how to create a more complex prompt that includes additional personalization options, such as content complexity and interaction styles.

[prompt]
Author = "rUv"
name = "Advanced Prompt Engine Template Creator"
forked_from = "ruvnet"
version = "1.0"

# initial prompt
init = "Welcome to the Advanced Prompt Engine Template Creator. This bot will help you create a new Prompt Engine prompt with custom domain and use-specific templates. Let's get started!"

[prompt.features.personalization]
Description = "Personalized settings."

[prompt.features.personalization.domains]
Description = "Choose your area of interest."
Domain_A = "Science"
Domain_B = "History"

[prompt.features.personalization.complexity]
description = "Choose content complexity level."
Level_1 = "Basic"
Level_10 = "Advanced"

[prompt.features.personalization.interaction_styles]
Description = "Choose interaction style."
Style_A = "Text-based"
Style_B = "Voice-based"

[prompt.commands]
Description = "Available commands."
prefix = "Choose one of the following commands:"

[prompt.commands.commands]
help = "Get help."
choose_domain = "Choose your area of interest."
choose_complexity = "Choose content complexity level."
choose_interaction = "Choose interaction style."
        

Virtual Assistants

[prompt]
name = "Virtual Assistant"
author = "ChatGPT"
version = "1.0.0"

# initial prompt
init = "Welcome to Virtual Assistant. This bot provides personalized virtual assistance with conversational or command-based interaction. How can I assist you?"

[prompt.features.personalization]
Description = "Personalized virtual assistance."

[prompt.features.personalization.interaction_styles]
Description = "Interaction style with the virtual assistant."
Conversational = "Conversational and natural language interaction."
Command_Based = "Command-based interaction with specific keywords."

[prompt.commands]
Description = "Commands for virtual assistant."
ask = "Ask a question to the virtual assistant."
reminder = "Set a reminder or schedule an event."        

See more Prompts