Over the years, I've worked with various mentors and coaches who also happen to be high-end business consultants. One thing that always struck me was their fees—£1,000+ per day to essentially ask questions and listen.

Their "secret sauce"? They don't tell clients anything they don't already know. They simply ask the right questions, listen intently, and then repeat back what they heard but in a more structured, lucid way.

Now we have that same capability in our pocket. The AI isn't writing your sales page or case study for you—it's extracting, organizing, and polishing what's already in your head. It's being your personal consultant, asking you the right questions at the right time, without the £1,000/day price tag.

Today, I'm pulling back the curtain on exactly how this co-working relationship functions. How to set up the framework, conduct the AI interview, and use "rubber duck thinking" to produce your best work ever—all without typing a single word.

Let's get started

The Consultant in Your Computer

When I told you in Part 1 about creating that sales page while lounging in the garden in Cyprus, I may have made it sound a bit too magical. Let me be clear: AI isn't doing the hard thinking for you.

You're still the expert on your business, your products, and your customers. That’s all you baby.

What AI does brilliantly is play the role of the perfect interviewer—asking probing questions, spotting gaps in your thinking, helping you articulate your thoughts more clearly, and then organising everything into a coherent structure.

Think of it as having a world-class consultant or copywriter at your disposal 24/7, but one who:

• Never charges by the hour

• Never gets tired of your rambling

• Never judges your half-baked ideas

• Never forgets what you said 10 minutes ago

• Never imposes their own agenda(!)

That's pretty powerful, right? But to make this partnership work, you need to set it up correctly!

The Framework-First Approach

The first step in our hands-free content creation process is establishing a solid framework. Without this, you're just talking aimlessly, and no amount of AI magic will transform rambling thoughts into compelling content.

While I'm using a sales page as our concrete example throughout this series, remember that this approach works for virtually any content type—case studies, white papers, email sequences, video scripts, etc. etc. you name it. The framework will change, but the process remains the same. So…just think about how you want to use this and you’ll be solid.

There are three main ways to establish your framework

1. Ask for a Proven Structure

The simplest approach is to say something like

"I need to create a sales page for [your product]. Can you provide a proven sales page framework with the main sections I should cover?"

The AI will typically respond with a solid structure like

• Attention-grabbing headline

• Emotional hook or story

• Problem statement

• Solution introduction

• Features and benefits

• Social proof/testimonials

• Objection handling

• Pricing and offer details

• Call to action

• Risk reversal (guarantee)

This approach works well if you're new to the content type you're creating.

The above is totally fine but (by its very nature) a bit generic.

2. Reference a Specific Expert's Approach

If you prefer a particular expert's methodology, you can directly reference it

"I want to use Russell Brunson's 'Perfect Webinar' framework to structure this sales page. Can you outline the key components of that framework and prepare questions for each section?"

This approach leverages established wisdom in your industry while making it easy to follow a specific style or methodology.

If there’s a well known framework your AI will have that information.

3. Upload Exemplars for Analysis

My favourite approach is to provide examples of content that you admire or that has worked well for you in the past:

"I'm going to share a sales page that converted extremely well for a similar product. Please analyse its structure and create a framework based on the patterns you observe."

You can then paste in the text of a sales page, case study, or email sequence that you want to emulate. Depending on the AI model you're using and whether it has internet access, you'll typically need to copy and paste the actual content rather than just providing a URL.

This is great if you want to, ahem, borrow from a known company’s sales page. Chances are they spent a lot of time and money building that. You’re going to piggyback by extracting the structure and aligning it to your product.

The Interview Setup: Asking the Right Questions

Once you have your framework, the next step is turning it into an interview protocol. This is where the consultant approach really shines.

You simply ask

"Based on this framework, what questions would you need to ask me to gather all the necessary information to create a compelling [content type]?"

The beauty of this approach is that you're not speaking differently to the AI than you would to a human expert. What makes it powerful is that you're essentially talking to an infinitely patient, infinitely attentive listener who can extract the core meaning from even your most rambling responses.

Unlike a human consultant who might get bored, lose focus, or impose their own ideas, the AI cuts through all the excess verbiage and babbling to distill the essence of what you're trying to communicate—often better than you could do yourself! It's like having a conversation with someone who's laser-focused on understanding you.

When I tried this for my sales page, the AI came back with about 15 questions spanning everything from the core problem my offer solved to specific objections customers might have.

One set of questions the AI threw at me that led to a genuine breakthrough was

Here’s how my response looks

Absolute rambling mess! Literally making it up as I went along.

But that’s fine! I could answer these conversationally, one by one, without the pressure of crafting "perfect" written responses. Just talking, as if I were explaining my offer to a friend or colleague.

Off the back of this question I ended up addressing impostor syndrome—specifically, the feeling many potential customers have that they "don't know enough about AI" to succeed with my program. I might never have directly addressed this barrier had the AI not specifically asked about internal blocks.

The Voice Tools That Make This Possible

For this method to work smoothly, you need the right voice input tools. I've experimented with several approaches, and here are my recommendations:

Standard Voice-to-Text (Recommended for This Method)

Both ChatGPT and Claude have built-in voice-to-text features that work brilliantly for this purpose. I recommend using these standard voice input features rather than the advanced conversational modes for several reasons:

• They allow for longer, uninterrupted speaking time (5+ minutes without cutting you off)

• You can take natural pauses to gather your thoughts

• You have full control over when the AI processes your input

• You can see what was transcribed before the AI responds

On mobile, you'll find the microphone icon right in the input field. On desktop, you may need to enable your browser's speech-to-text functionality.

A heads-up on one limitation: With particularly long recordings (typically over 5 minutes), the recording might suddenly stop. Don't panic! Just note the question number you were on and resume recording from there. When this happens to me, I simply say "Continuing from question 7..." and pick up where I left off. The AI has no problem connecting these segmented responses.

ChatGPT Advanced Voice mode is amazing but less ideal for this specific content creation approach because:

• They tend to interrupt your flow of thought

• They often process shorter chunks of speech

• They don't always give you a chance to review what was transcribed

• You have less control over the pace and rhythm of the conversation

Save these for more casual brainstorming or quick Q&A sessions. For our purposes we just want to talk and the AI to listen.

From Rambling to Refined: The Rubber Duck Magic

The secret sauce here powerful lies in what programmers call "rubber duck debugging"—explaining problems to an inanimate object (traditionally a rubber duck) to find solutions. The act of explaining often reveals insights that silent contemplation doesn't.

You’ve probably notice this happen before when explaining a problem to a friend. Simply by talking about what the problem is you gain clarity - and often see the solution before your friend even responds.

This is exactly what happened with the story hook for my sales page. I was struggling to find the right narrative angle, so I just started talking through different possibilities, backtracking and contradicting myself along the way. Through this verbal exploration, I found the perfect story hook—something I might have spent hours trying to craft if I'd been staring at a blank page.

After you've answered all the interview questions, simply ask the AI to compile everything

Step-by-Step Prompt Flow

We’ve covered a lot so here’s a basic flow laid out with the exact prompts you can use

This sequence will guide you through the entire hands-free content creation process. You can adapt these prompts to suit your specific needs, but the basic flow remains basically the same.

What's Next?

In Part 3, we'll look at how to take your rough draft and transform it into a polished, persuasive final product. I'll show you how to:

• Use AI to punch holes in your own argument (and then fix them)

• Add credibility with data and research

• Identify the perfect supporting visuals and social proof

• Test different versions against each other

• Prepare the final document for deployment

Keep Prompting,

Kyle