Beeazt - the future of advanced AI prompt engenieering and management

Prompt engineering with
The RISEN Framework

The RISEN Framework represents the pinnacle of AI Prompt Engineering, seamlessly integrating the core principles of RISE—Role, Input, Steps, and Expectation—with the transformative element of 'Novelty.' This innovative addition propels the framework beyond its foundational roots, enabling the crafting of prompts that not only meet specific objectives but also introduce fresh, creative insights into the process.

Standing tall as an emblem of structured guidance in the realm of AI, RISEN—encompassing Role, Instructions, Steps, End goal, and Narrowing—embarks you on a journey towards achieving unparalleled outcomes. It intricately weaves a tapestry of precise objectives, actionable steps, and innovative thinking, ensuring that every interaction with AI transcends conventional dialogue to become a strategic pathway to success. By harmoniously blending meticulous definition with the encouragement of creative exploration, the RISEN Framework elevates the practice of prompt engineering to new heights, transforming broad concepts into finely tuned, actionable strategies. This evolution not only deepens the engagement with AI but also significantly enhances the value and impact of your endeavors, making the complex effortlessly manageable. RISEN is an expanded version of the RISE framework, offering a broader canvas for the application of AI Prompt Engineering by incorporating an element of novelty to the established foundations of Role, Input, Steps, and Expectation.

RISEN Framework Overview

  • Role: Establish the AI's role, setting the stage for the type of response expected.
    • Instructions: Clarify what you want the AI to do, providing a clear directive.
      • Steps: Break down the task into manageable steps, ensuring a logical progression.
        • End Goal: Define the ultimate objective of the prompt, guiding the AI's focus.
          • Narrowing: Set any constraints or limitations to tailor the response to your specific needs.

Prompt example using the RISEN Framework

Suppose you're seeking guidance on developing a marketing strategy for a new product. Here's a RISEN-structured prompt:
Role: As a marketing expert, Instructions: devise a comprehensive marketing strategy for our new eco-friendly water bottle. Steps: Begin with market analysis, then outline target demographics, followed by proposed marketing channels and tactics. End Goal: To increase brand awareness and sales within the first quarter post-launch. Narrowing: Focus on digital marketing strategies with a budget constraint of $10,000.
End Goal

Strengths and Weaknesses of the RISEN Framework


  • Structured Approach: Facilitates clear and detailed task decomposition, making complex tasks more approachable.
  • Goal-Oriented: Keeps the end goal in focus, ensuring that AI's responses are aligned with desired outcomes.
  • Adaptable: Can be tailored to fit a variety of tasks and constraints, offering wide applicability.


  • May Require Detailed Preparation: Effective use of the RISEN Framework necessitates thorough planning and understanding of the task.
  • Potential for Over-Constriction: Setting too many constraints might limit AI's creative solutions.

So, when should you use the RISEN framework?
Ideal applications of the framework

The RISEN framework shines in scenarios that benefit from detailed planning and execution, such as project management, content creation, and strategic planning. Its structured nature makes it ideal for tasks requiring a clear, step-by-step approach to achieve specific goals.


The RISEN framework is an invaluable tool in the arsenal of prompt engineering, offering a blueprint for transforming intricate tasks into manageable, goal-oriented processes. By leveraging the RISEN framework, users can enhance the precision and effectiveness of their AI interactions, ensuring that every prompt is a step towards achieving their objectives.

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The Atomic Prompting Framework

The Atomic Prompting Framework introduces a revolutionary approach to AI image generation, perfectly suited for models like Midjourney, DALL-E 3, and Adobe Firefly. This method enables creators to meticulously guide AI, ensuring each image is a direct reflection of their vision. By systematically structuring prompts, it unlocks new levels of detail and customization in AI-generated imagery, making it an indispensable tool for artists and developers aiming for precision and creativity in their digital works

Goto :The Atomic Prompting Framework

Prompt framework guide and overview

Curious about more AI Prompt Frameworks or seeking a broader overview? Our comprehensive main guide is the perfect starting point, offering detailed insights into all 33 frameworks. Ideal for both newcomers and those deep into a specific guide, this central resource equips you with the knowledge to fully leverage the power of AI prompts. Explore the Complete Guide for a holistic understanding of how each framework can elevate your AI projects.

Prompt framework guide and overview

The GRADE framework

GRADE (Goal, Request, Action, Details, Example) provides a structured approach to AI prompt creation, ensuring that every interaction is goal-oriented and actionable. This framework is especially useful in project management, content creation, and analytical tasks where clarity and precision are key. GRADE helps AI to understand the goal, acknowledge the request, take informed actions, consider all relevant details, and learn from examples. It's an essential framework for achieving specificity in AI responses and ensuring that outputs are directly tied to user objectives.

Goto :The GRADE framework
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