this isn't an AI news email

I know, this has been a long time coming. Though with DeepSeek, o3, and other models, I think now is the time for me to pop my head out of my rabbit hole.

You’re using AI wrong.

And it’s costing you time, money, and opportunities. Daily.

But the worst part? You don’t even realize it.

Look, I’m not going to sell you on a Speaking Engagement from myself or anything like that.

But I keep seeing the same things when I do these upskilling and coaching sessions.

If you’ve ever felt like AI gives you:

  • Lacklustre results (even though you wrote a detailed prompt).

  • Shallow answers (despite feeding it tons of context).

  • Non-remarkable outputs (even after tweaking endlessly).

You’re not alone.

I’ve worked with companies spending millions on AI initiatives only to watch them get the same copy-paste garbage as someone using ChatGPT for free.

And, honestly? It’s not AI’s fault.

AI is like a high-performance race car.

Fast, powerful, and built to dominate.

But what happens if you throw an amateur driver behind the wheel of an F1 car?

They crash at turn one.

Not because the car is broken.

But because they don’t know how to drive it.

This is what’s happening inside companies right now.

And I know that you might be able to relate to this. Most companies do and can.

Teams assume AI is a plug-and-play solution, when in reality, it’s a high-performance machine that requires precision to operate correctly.

→ Garbage prompts = garbage results.
→ Mediocre prompts = mediocre results.
Great prompts = an unfair competitive advantage.

Yet, most AI users are operating on training wheels.

They grab a “100 Best AI Prompts” list, copy-paste a framework, and wonder why their outputs sound like an intern wrote them.

And, looks, here’s why.

AI doesn’t just respond to words. It responds to intent.

You can’t just throw a grocery list of adjectives at it and expect a Michelin-star meal.

Great prompts require:

✔️ Creative problem-solving.
✔️ Understanding how AI “thinks.”
✔️ Knowing how to manipulate outputs with precision.

And in 2025, with AI advancing faster than corporate policies can keep up, companies that don’t master this?

They’ll be stuck waiting for AI to catch up while competitors are 10 steps ahead.

If you want to stop fighting AI and start making it work for you, you need to master Prompt Engineering.

Not just the tactics.
Not just the hacks.
But the mental models that turn AI into a superpower.

I wrote a book on it.

Specifically for DeepSeek R1, but the Prompt Engineering concepts remain the same.

It’s not a £2,500 course. It’s not another list of generic prompts.

It’s what actually works.

And yes, it’s on Amazon. Not some sketchy funnel with 18 upsells.

Because AI is only as powerful as the person using it.

And right now, that’s the difference between 5-minute reports vs. 5-hour headaches.

Oh, and yes, the link for the book is for the US, but you can grab the book if you live in the UK, Europe, Japan, and wherever Amazon operates.

-Edward