Generative AI: B.R.I.E.F. Prompting FrameworkGenerative AI: B.R.I.E.F. Prompting Framework is a beginner-level course designed to help you improve the quality of your AI outputs by improving the quality of your prompts.
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- Use the B.R.I.E.F. framework to write stronger prompts and get better AI results
- Learn the 5 elements that improve prompt quality: background, request, intent, end result, and focus
- Add clarity and detail to your prompts to reduce back-and-forth edits
- Customize prompts based on your goals, tone, format, and output needs
- See live examples of weak vs. strong prompts and how to improve them
- Build prompts using a proven template and apply your learning with activities
What’s Included In The Course
- Downloadable Resources
- Completion Certificate
- Live Demonstrations
- Activities to Implement
- Real-world Examples
Resources
-> B.R.I.E.F. Prompting Playbook
-> AI Prompting Checklist
-> Prompt Planning THINK Template
A generative AI prompting framework organizes prompt information. Weak prompts lead to poor results. This course introduces the B.R.I.E.F. prompting framework to create prompts that lead to specific, customized, high-quality outputs.
Learn how to use this flexible framework to improve your AI prompting and results.
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Generative AI: B.R.I.E.F. Prompting Framework Course Outline
- What the B.R.I.E.F. prompting framework is and how to use it.
- Elements of the B.R.I.E.F. framework.
- How to flexibly apply the framework.
- What specifiers are and how to use them in prompts.
- How to use specifiers with the B.R.I.E.F. framework.
- Why each element of the B.R.I.E.F. framework matters.
- How elements strengthen results.
- How to identify if you haven’t provided enough detail in an element.
- How to include relevant background details in your prompts.
- Common background and context specifiers to support prompts.
- Tips and best practices for providing background information in prompts.
- Examples of strong background prompts.
- How to accurately and precisely convey the task or request in your prompt.
- Common request details to support prompts.
- Tips and best practices for articulating and defining the task.
- Examples of strong vs weak tasks.
- How to articulate the intent or objective of your request.
- Why intent matters and how to define it clearly.
- Tips and best practices for adding intent to your prompts.
- Examples of strong intent prompts.
- How to articulate your desired end result in a prompt.
- How to add specifiers to get the exact output desired.
- Tips and best practices to articulate the end result you want.
- Additional specifiers to get the formatting right.
- What focus is in prompting and how to add it to your prompts.
- The benefits of including focus details and constraints, and how they impact outputs.
- Tips and best practices for adding focus to your prompts.
- Examples of prompts with the right level of focus.
- What the B.R.I.E.F. framework looks like.
- Examples of prompts with the B.R.I.E.F. elements.
Course Description
Generative AI: B.R.I.E.F. Prompting Framework is a beginner-level course designed to help you improve the quality of your AI outputs by improving the quality of your prompts. You’ll learn a simple and powerful method to consistently create stronger prompts that get better, faster results.
This course introduces the B.R.I.E.F. prompting framework—a repeatable formula to write clear and effective prompts. B.R.I.E.F. stands for Background, Request, Intent, End Result, and Focus. These five elements help you provide AI with the right details to generate better responses with less editing.
You’ll begin by learning what each part of B.R.I.E.F. means and why it matters. You’ll discover how weak prompts often miss one or more key elements, and how to strengthen them with the right level of clarity and detail.
Next, you’ll explore specifiers—the extra details that help customize your prompt results, such as tone, format, or word count. You’ll see how to combine specifiers with the B.R.I.E.F. structure for even better results.
Each lesson walks through the individual elements of the framework:
• Background: Learn how to include relevant context or background so the AI understands your situation.
• Request: Discover how to clearly define the task you want the AI to complete.
• Intent: Understand how to share the “why” behind the task so the AI aligns with your goals.
• End Result: Learn how to describe the output you want—including format, length, or style.
• Focus: See how to add constraints, tone, or other guidance to sharpen the output.
Throughout the course, you’ll review real examples and rewrite weak prompts into effective ones. You’ll also build your own prompts using our Prompt Planning THINK Template and B.R.I.E.F. Prompting Playbook.
At the end of this course, you’ll have a repeatable, flexible method for writing stronger prompts—so you can use AI more effectively across your business and marketing tasks.
This interactive course includes downloadable tools like the B.R.I.E.F. Prompting Playbook, the AI Prompting Checklist, and the Prompt Planning THINK Template to implement what you’ve learned. You’ll also get live demos, knowledge checks, and activities to apply the framework in real time.
Learning Objectives
- Apply the B.R.I.E.F. prompting framework to prompts.
- Provide relevant background information and context for prompts.
- Clearly define the request or task.
- Include relevant intent or goal information in a prompt to point AI toward the overall intent of a task.
- Define the end result clearly to minimize refinement.
- Provide constraints and additional detail to improve outputs.
Resources
- B.R.I.E.F. Prompting Playbook
- AI Prompting Checklist
- Prompting Planning THINK Template
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Krista NeherDigital Marketing Expert & Best-Selling Author
Krista Neher is a six-time bestselling author, international speaker, award-winning entrepreneur, global thought-leader, and an expert in social media, digital marketing, and personal branding, with over 20 years of experience.
She is the CEO of Boot Camp Digital and a contributor on Forbes and Newsweek. She wrote the first textbook on social media and created the first accredited digital marketing certification in the world.
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