5 Lessons From AI Pro Users

Most people use AI to get things done faster.

But what if the real leverage isn’t just in what it spits out, but in how you work with it?

I recently went through a 5-day bot-building workshop led by two top-tier copywriters, Luke Iha and Mario Castelli.

These guys aren’t AI influencers. They’re practitioners, and good ones.

They’ve built bots that sound like them, sell like them, and actually convert. Bots that write landing pages, sales emails, even VSLs. In their voice, with their strategy baked in.

The goal of the workshop was simple: teach people how to build content bots that take an input and consistently turn it into a strategic, high-quality output. Think voice-aligned writing bots, copy systems, internal idea engines. Tools that don’t just generate text but actually do work.

Some of the ideas were new. Some weren’t.

But the workshop pushed me to get clearer and more honest about where my own AI use is still inconsistent.

And what it’s going to take to move to the next level.

If you’re using AI regularly but still feel like you're starting from scratch too often, these are the big takeaways worth sitting with.

1. The real power of AI is process, not output

It’s easy to treat AI like a one-off tool.

Prompt it. Get something decent. Move on.

But the people getting the most from AI are designing repeatable systems.

They know the inputs they need. They know what the output should look like. And they build workflows the AI can follow and improve over time.

That shift—from one-time use to consistent structure—is what makes AI scalable.

2. Every prompt is a prototype

Prompts aren’t answers. They’re drafts. Test runs.

You don’t just run a prompt and judge whether it’s good. You look at what came out and ask:

What’s missing?

What would make this stronger?

Where did this go off track, and why?

Better prompts come from better questions.

Sometimes the smartest move is asking the AI how to improve the prompt itself.

Let it help you help it.

3. AI rewards clarity

Vague thinking leads to vague output.

The more specific you are—about tone, structure, audience, and intent—the better the results.

But that clarity isn’t just for the AI. It’s for you.

Working with AI holds up a mirror to your thinking. It reflects your structure, or lack of it. And forces you to think more clearly.

4. Your data is your edge

There’s no shortage of generic AI content out there.

But there’s only one you.

If you’ve coached, built, launched, or documented anything over the years, then you already have what AI needs: insights, patterns, and real experience.

But only if you feed it.

You have to capture what you know, organize it, and turn it into usable inputs. That’s how you get bots and workflows that actually reflect your voice and your standards.

5. Habits beat tools

We covered a dozen tools in the workshop. Claude, ChatGPT, Poe, Wispr Flow, Zapier, and more.

But the people getting real results aren’t chasing tools. They’re building habits.

They have processes. Templates. Feedback loops.

They capture what works and improve it over time.

You can’t control which tools change or disappear next.

But you can decide to treat your time and knowledge like assets.

And build systems around them.

Tomorrow, I’ll share a few of the practical ways the top builders are using AI day to day, and where I’m focusing next.

In the meantime, I’d love to hear from you.

Are you using AI in your work right now?

Are you building systems around it, or still experimenting?

Reply and let me know where you’re at.

Nathan

When you’re ready, here’s how I can help

I build personalized AI Voice Bots that turn your own words and stories into ready‑to‑send drafts in seconds so you can hit Send on time and on brand.

Book a free 20‑minute Fit Call

I take only a few clients at a time. Even if we’re not a match, you’ll leave the call with some quick wins you can use immediately.