Hey {{first_name}},

We’ve thought of AI as an assistant — a clever tool that gives us answers when we ask.

But that’s changing. Fast.

We’re entering a new era — the Age of AI Agents.

And whether we like it or not, this shift will redefine how we work, what we do, and who stays relevant.

Ask an assistant for the best supplier, it’ll give you a list.
Ask an agent — it opens your browser, compares rates, drafts the email, and sends you a shortlist before lunch.

That’s the difference.

Agents don’t just talk. They do.

And soon, every one of us will have them. Not just an assistant, but a team of AI specialists — a strategist, a content checker, a data analyst, a personal scheduler — all working quietly in the background.

You might already know one of mine.

Selene — my AI assistant — calls me each morning to remind me who I’m meeting, what we discussed last time, and what I need to prepare for. She even reminds me about podcast shoots and whether my clothes are ready for them.

It doesn’t feel like using a tool. It feels like working with a colleague.

Let’s be honest — most people aren’t drowning in work. They’re drowning in repetition. Answering the same questions. Checking other people’s work. Searching for files. That’s time no one gets back.

At Enterprise Monkey, we built a Brand Evaluator Agent for a marketing manager who used to spend hours reviewing content from five creators. We trained the agent on brand tone, style, and a scoring rubric.

Now, writers submit their content to the agent first — it scores clarity and tone, gives feedback, and only then does the manager review it.

The result? Less proofreading. More strategy. That’s what happens when you stop using AI as a toy and start treating it as part of your team.

But here’s the real Dumb Monkey Move I keep seeing: people assuming this shift is optional.

They think they can sit this one out — that AI is something their “tech team” will handle later.

But this isn’t about coding or software. It’s about how you work, think, and lead.

In the next few years, most professionals will be managing four or five AI agents — training them, reviewing their work, running performance checks, and aligning them with business goals.

We’re going into this age whether we like it or not.

And I always ask leaders the same question:

That question usually stops people in their tracks — because deep down, they know it’s true.

Those who learn to build and lead digital teammates will multiply their output. Those who don’t will spend their time catching up… or get replaced by someone who does.

Start small. One workflow. One pain point.

Begin with assistive agents — the simplest kind.

They answer internal questions like “What’s our HR policy?” or “What are the safety requirements for this site?”

Once you’re comfortable, move to automation agents that can complete workflows — like analysing reports or preparing first-draft proposals.

Eventually, you’ll work with autonomous agents — the ones that can plan, prioritise, and act towards a goal on their own.

And the best part?

You can build your first working agent in just four to eight hours.

If you’re using ChatGPT, start with Custom GPTs.

That’s where you can define your agent’s role, instructions, and knowledge base — the heart of how it thinks and acts.

If your organisation uses Microsoft 365, you can do the same inside Copilot Studio.

It connects to your SharePoint, Teams, and documents, and lets you test, monitor, and improve your agent safely within your own system.

If you’d like to learn how to build your first Assistive Agent step-by-step, I walk through the exact process in this free course. 👇

Join the Dumb Monkey AI Academy for more free courses just like this!

Building it is easy.

But the moment you hit ‘publish,’ your real work begins.

Because what makes an agent powerful isn’t the setup — it’s the training.

A good agent isn’t “set and forget.”

It’s like hiring a new team member — you guide, review, and refine until it starts thinking in your language.

That means:

✅ Test edge cases.

✅ Set guardrails for what the agent can’t answer.

✅ Review its logs and outputs.

✅ Keep retraining it as your business evolves.

Every mistake is feedback. Every correction makes it smarter.

In every career, there’s a natural progression.

You start by doing the work yourself. Then you grow into managing people who do it with you.

But the next step is already here — managing AI agents.

Soon, leadership won’t just mean guiding a human team.

It’ll mean overseeing digital teammates, refining how they work, and keeping them aligned with real goals.

In the world ahead, your worth won’t come from how fast you can do tasks.

It’ll come from how well you can design, manage, and improve the agents that do them for you.

And that’s the real opportunity.

Not to be replaced by AI — but to lead it.

🎧 Listen to the Podcast Episode 6 on Spotify, Apple Podcasts

📺 Watch the Podcast Episode 6 on YouTube

📘Read Aamir's book (an AI playbook disguised as fiction for easier readability): The CEO Who Mocked AI (Until It Made Him Millions)

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