The gap between people who are using AI well and those who aren’t is already visible. But it won’t stay that way. Sooner or later, most people will have the same tools, with the same capabilities. The same models, the same integrations. The playing field is levelling fast.
So, where does that leave us?
If AI can research, write, code, analyse, summarise, transcribe and translate… what’s left that makes you valuable?
I think there are two things, neither are new, but both matter more now than they did even a year ago.
- First is how you think
- Second is how you work
Let’s take the first, the thinking bit.
There’s no substitute for clarity of thought. For being able to listen to a messy brief, ask a better question, spot a contradiction, or frame a problem in a way that makes the answer easier to find.
A lot of what we call intelligence at work comes down to this. Not how much you know, or how fast you can write a slide, but how you frame the work in the first place. Most of us have spent years developing this skill without giving it a name. Some of us never do. But it’s what clients and colleagues are really responding to when they say someone is “sharp”.
This kind of thinking is what gives direction to the tools. Without it, you’re just decorating ideas you don’t understand with language that sounds clever.
Then there’s how you work. And this is where the AI part gets practical.
Building your AI toolkit
Right now, the best way to improve your thinking is to enhance your working; specifically, how you work with the tools, how you shape your process to take advantage of what’s now possible. That doesn’t mean waiting for plug-and-play agents to magically change how your team works. It means doing the groundwork yourself.
That means building what I’ve started calling your AI toolkit.
It’s not a platform. It’s not something you buy. It’s something you grow. You make it as you go.
It has three parts, and they’re not all equally important.
Prompt Library
Start here. This is the single most useful thing you can develop today. It’s your personal set of reusable, tested instructions for getting better outcomes from AI models. Good prompts act like tools in a shed. You don’t always use them the same way, but they give you a head start. Especially if you’ve annotated them, tweaked them, tried them in different contexts.
The real kicker here is your context library. This is the stuff only you have, your ways of working, your client materials, your domain knowledge, your frameworks. There is no secret sauce here, yet this is how two people using the same model can get radically different results.
Workflows
Once you’ve got decent prompts, you can start joining them up. That’s where workflows come in. A workflow is just a process with a purpose. Most of us have dozens of these: writing briefs, reviewing work, onboarding clients, chasing updates, summarising notes.
If you can map a workflow and spot the parts where judgment is low but labour is high, you can start to layer in AI to do the heavy lifting. These become repeatable. And suddenly you’ve gone from “experimenting with prompts” to “working differently.”
Agents
This one’s a little further off for most people, but it’s worth understanding early. Agents are the autonomous bits. They’ll be the ones that pick up your prompts and context, run your workflows, and hand you results. Some of this is already here, though it’s still a bit clunky. But the idea is sound. You don’t want to be doing routine tasks if an agent can do it faster, cheaper, and more reliably.
The difference, again, won’t be in the tool itself; it’ll be in the thinking behind it. Your agent will only be as good as the prompt library and context library you’ve given it.
In summary
If you’re reading this and you’re in a role where you need to produce good work, quickly, and in ways that matter to other people, this is probably worth getting your head around.
In a year or two, you’ll be working alongside people who’ve already figured this stuff out.
And when the playing field levels, what’s going to set you apart isn’t your access to the tools. It’s how well you use them and how clearly you think.
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