Premium: How Coaches Save 30 Minutes Per Client Using Basic AI Prompts

In today's rapidly evolving digital landscape, artificial intelligence (AI) has emerged as a game-changer across industries, and the fitness and nutrition sector is no exception. As a fitness or nutrition professional, harnessing the power of AI can help you save time, increase your earning potential, and provide better service to your clients.

I want to teach you the most important things you need to know about AI.

1. Basics of prompting

2. Meta-prompting

3. Use-cases (you need to see it first)

4. Case-studies

In this section, we'll explore the basics of prompting, a crucial skill that will enable you to effectively leverage AI tools to streamline your work and grow your business.

Basics of prompting

At its core, prompting is the art of communicating with AI systems to obtain desired outputs.

Just as you would provide clear instructions to a personal assistant, prompting involves giving specific, well-crafted commands to AI tools to generate the results you need.

The quality of your prompts directly impacts the quality of the AI's output, making it essential to develop strong prompting skills.

There are two main types of prompting: one-shot and few-shot.

One-shot prompting involves providing a single, comprehensive prompt that includes all the necessary information for the AI to generate the desired output.

This approach is suitable for simpler tasks or when you have a clear idea of what you want the AI to produce.

On the other hand, few-shot prompting (two or more) is a more iterative process. It involves providing an initial prompt, evaluating the AI's output, and then refining the prompt based on the results.

This approach allows for more flexibility and is particularly useful for complex tasks or when you need to fine-tune the AI's output to meet your specific requirements.

Each method has its unique advantages and is chosen based on the complexity of the task at hand and the specificity of the desired outcome.

Context and output window

When working with AI tools, it's essential to consider the context and output windows.

The context window refers to the amount of text the AI can process and understand at once, while the output window represents the maximum length of the generated response.

These windows vary depending on the specific AI tool you're using.

To ensure optimal results when creating large documents or complex pieces, it's wise to break them down into smaller, more manageable sections.

This approach allows you to work within the AI's context and output windows, providing the system with enough word space to generate accurate and coherent responses.

By tackling your project in sections, you can maintain the quality of the AI's output and avoid potential issues such as incomplete or disjointed responses.

Keep in mind that understanding the limitations of your chosen AI tool and adapting your prompting strategy accordingly will lead to more efficient and effective use of the technology in your work.

How Coaches Save 30 Minutes Per Client Using Basic AI Prompts:

AI is already writing client programs faster than you.

It's creating coaching resources while you sleep.

And it's helping other coaches scale beyond the 1:1 grind.

But here's what most coaches get wrong: They're still typing random questions into ChatGPT or Claude, hoping for usable results.

The elite 1% of coaches? They're using a specific framework.

A framework so effective that:

• Program writing is cut in half

• Content creation happens in batches, not hours

• Meetings are summarised in seconds, not hours

You've seen the basics of prompting. One-shot versus few-shot. The importance of breaking things down.

But that's just the surface.

The real power comes from a 5-part framework that transforms how you communicate with AI.

Want to see the framework the best prompters use?

Prompt framework:

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