The Best Prompt Frameworks to Level Up Your Prompting Game

As AI becomes increasingly integrated into our daily lives, the ability to communicate effectively with these systems has become a critical skill. Among those, using the best prompts is essential. And the secret to unlocking the full potential of tools like ChatGPT lies in using structured, well-crafted, prompt frameworks. 

This guide dives into 10 powerful prompt frameworks that will help you achieve the best results when interacting with AI. These frameworks improve the quality of responses you receive and make your interaction with AI more productive. Let’s explore these frameworks and ways to enhance your prompting skills.

Top 10 Prompt Frameworks to Level Up Your Prompts

• The “Give Me 3 Ways” Framework by Matt Maher

One of the most practical prompt frameworks helps to generate quick and effective ideas or solutions. The basic structure of this framework involves asking the AI to provide three different approaches or ideas for a given task or problem.

For example, if you’re looking to boost engagement on social media, you could use the following prompt: “Give me three ways a social media manager can increase engagement using AI tools”. The AI would then generate three distinct strategies, allowing you to choose the one that best fits your needs.

• The Perfect Prompt Formula by Jeff Wu

Jeff Wu’s Perfect Prompt Formula is another excellent prompt framework that emphasizes iterative improvement. The process starts with the AI asking you what the prompt should be about. This is followed by a series of refinements based on your feedback. The AI then helps you fine-tune the prompt through multiple iterations until you reach the desired outcome.

For example, if you have to create a marketing campaign. You might start with a general prompt like, “Help me create a marketing campaign”. The AI will then ask for specifics, such as the target audience, goals, and budget. Through this iterative process, the prompt becomes increasingly refined, leading to a more effective and tailored response.

• “One Prompt to Rule Them All” by Jason West

Jason West’s “One Prompt to Rule Them All” is a comprehensive prompt framework that aims to help you craft the perfect prompt through a structured process. The AI begins by asking what the prompt should be about. You then collaborate with the AI, refining the prompt through several iterations. This goes on until you get a clear, concise, and effective prompt.

Imagine you have to launch a new product and need help with the strategy. You can start with a simple prompt: “Help me plan a product launch”. The AI will guide you through the process of refining the prompt, asking questions about the product, the target audience, and your overall strategy. The final prompt is then tailored to your specific needs. This ensures the best possible outcome.

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• The 30 Pieces of Evergreen Content Framework

If you are a content creator or social media manager, the 30 Pieces of Evergreen Content framework can be a game-changer. This is one of the prompt frameworks designed to help you generate a large volume of high-quality content on a specific topic. The prompt is structured to ask 30 different pieces of content, each focusing on a different aspect of the topic.

If you are working on content strategy for a health and wellness brand, your prompt would be something like this: “Generate 30 pieces of evergreen content on fitness and wellness. Topics should include workout tips, nutrition advice, mental health strategies, and lifestyle changes.” The AI would then produce a list of 30 content ideas, each with its own unique angle.

• The Personalized Learning Plans Framework

The Personalized Learning Plans framework is tailored for educators, trainers, and self-learners who want to create customized learning experiences. The prompt is structured to ask the AI for a detailed learning plan based on the user’s goals, current knowledge, and available resources.

If you are learning Python programming, you can prompt the AI with “Create a six-month learning plan for mastering intermediate Python programming. The plan should include weekly goals, recommended resources, and practice exercises.” The resulting response will cover what you ask for.

Why it Works

This framework is highly effective because it tailors the plan to individual needs. This consequently makes the learning experience both relevant and actionable​.

• The B-A-B Framework: Before-After-Bridge

Another powerful tool to supplement your arsenal of expert-proposed prompt frameworks is the B-A-B framework. This helps you structure your prompts in a way that guides the AI through a problem-solving process. First, you describe the “Before” state—this is the current situation or problem you are facing. Next, you outline the “After” state, which gives the AI a clear goal. Finally, the “Bridge” step involves asking the AI how to move from the current state to the desired outcome.

For instance, if you are trying to plan a trip and are feeling overwhelmed by all the options, your prompt might be: “I’m planning a trip to New York City for the first time, but I’m unsure how to create an itinerary that covers all the major attractions. I’d like to have a well-planned four-day itinerary that allows me to see the top sights. Can you help me create this itinerary?” This approach provides the AI with a clear roadmap, making it easier for it to generate a useful response.

• The C-A-R-E Framework: Content-Action-Result-Example

The C-A-R-E framework is another versatile prompt framework that’s particularly useful for content creation, analysis, and problem-solving tasks. “Content” refers to the specific information or material you want the AI to generate. “Action” is the task you want the AI to perform, such as writing an article or generating an outline. “Result” is what you expect the AI to deliver, and “Example” gives the AI a reference for the kind of content you are looking for.

For example, if you want to improve time management, you might provide the AI with details about how you currently spend your workday—like spending 30% on emails, 20% on meetings, and so on. Ask the AI to analyze this data and suggest a customized plan to optimize your time, including tools or techniques that could help. Using the C-A-R-E framework, the AI can:

• Context: Understand your current work habits and challenges
• Action: Analyze the data and suggest personalized improvements
• Result: Deliver a customized time management plan with actionable steps and recommended tools
• Evaluation: Allow you to review and adjust the plan based on its effectiveness

This approach leverages AI to offer tailored advice and solutions, enhancing your productivity without replacing your decision-making process.

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• The R-I-S Framework: Role-Input-Steps

The R-I-S framework is designed for more complex tasks that involve multiple steps or specific role-playing scenarios. “Role” defines the perspective or expertise you want the AI to assume. “Input” provides the relevant details and context needed for the AI to understand the situation. “Steps” are the actions or outputs you expect the AI to generate.

If you need marketing advice for your small business, the AI prompt can be: “Act as a marketing consultant for a new bakery in an affluent neighborhood. The bakery has been open for six months, but we want to increase awareness and attract new customers. Provide a cost-effective marketing plan.” This framework allows the AI to tailor its response to your specific needs, ensuring that the advice is practical and actionable.

• The R-T-F Framework: Role-Task-Format

The R-T-F framework is ideal for tasks where the format of the output is just as important as the content itself. “Role” specifies the expertise or perspective you want the AI to assume. “Task” defines the specific task or deliverable you need. “Format” dictates the structure or layout of the content you want the AI to generate.

To help create a professional resume, here is what an AI prompt might look like. “Act as a career coach. Help me create a one-page resume that highlights my experience in marketing, with a focus on social media management. Format it as a clean, professional document.”

By using the R-T-F framework, you ensure that the AI delivers a product that meets your specific requirements.

• The T-A-G Framework: Task-Action-Goal

The T-A-G framework is a straightforward yet powerful tool for structuring your prompts. “Task” describes what you need help with. “Action” specifies the steps the AI should take to complete the task. “Goal” outlines the desired outcome.

Consider the following prompt if you are researching the impact of automation on the job market. “Research and summarize the impact of automation on employment trends over the next 5–10 years. Include key industries affected, changes in skill requirements, and strategies for adaptation. Present your findings in a detailed report.” The T-A-G framework ensures that the AI understands your needs and delivers a thorough, well-organized response.

Best Practices for Better Prompting

While using these prompt frameworks can significantly improve your interactions with AI, there are some general best practices to follow. They will help you craft better prompts and get the most out of generative AI platforms:

• Clearly Define the Task: Be specific about what you want to ensure accurate and relevant responses
• Incorporate Context: Provide background details to help the AI tailor its response, considering your industry or audience
• Use Structured Formatting: Organize prompts with bullet points or headers for clarity and better AI comprehension
• Balance Guidance and Flexibility: Give clear instructions but allow room for AI creativity to generate innovative results
• Test and Refine: Continuously tweak your prompts based on AI responses to improve output quality
• Ask for Multiple Options: Requesting several solutions encourages creativity and gives you more choices
• Use Role-Playing: Assign roles to the AI for more targeted and strategic advice
• Provide Examples: Use examples to clarify your expectations, especially for content creation
• Specify Tone and Format: Clearly state your desired tone and format to align AI outputs with your needs

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Incorporating these prompt frameworks into your AI interactions will lead to more accurate and relevant results. By refining your prompts and following best practices, you unlock AI’s full potential. So, start experimenting with these prompt frameworks and watch as your AI-powered productivity soars. For deeper expertise, consider Emeritus’ online artificial intelligence courses and machine learning courses to stay ahead in the evolving AI landscape. 

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