AI AGENTS: YOUR NEW GROWTH TEAM

How AI agents are reshaping marketing teams from the inside out...

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Morning!

We might be living in the craziest time to be a marketer ever. Because for the first time in history, one person has the leverage to do the work of 50 different people.

With new tech, AI, and now agents, I’m watching normal people complete the most complex, diverse tasks in just a few days.

Today, I’m going to show you what I’m most excited about and how you can implement it for yourself.

Let’s get into it!

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BREAKING DOWN THE STRATEGY

AI taking over the world used to be the plot in sci-fi films.

Today, it might just be the reality we’re living in.

Because while some people still laugh at the idea that some crazy AI algorithm could take their job, the truth is… it’s already happening. And it’s happening fast.

Most people just haven’t noticed yet because their company isn’t rolling humanoid robots into the office to sit in their chairs.

What they don’t realise is that it won’t be some humanoid robot taking their job, it will be their colleague, their neighbour, or anyone around them who has learned how to use AI properly. Because it’s that person who will quickly be able to swallow up your job, your partners’ job, and everyone else around you - just by leveraging AI.

Now, that might sound controversial and a little bit far-fetched.

But as I walk you through some of the tools and methods available right now (many of them incredibly cheap), you’ll start to realise why this is such a scary time to be in marketing.

For years, marketing teams were made up of specialists. An email specialist. A social media specialist. An SEO specialist.

There’s a good chance that era is dead, and we are about to enter a world where marketing teams are made up of AI-powered generalists.

But I’ll leave it to you to decide what the future looks like. My job is simply to show you what’s out there.

So here are 3 of the most incredible AI tools and use cases I’ve seen for AI in marketing: 

(And how you could be using them right now)

1) Replit

4 years ago, when I was just getting started in business, I used to joke that I wish I hadn’t gone to university for marketing and instead had gone and learned to code.

My reason was simple: I thought I would have been able to start a much better business if I could integrate my knowledge into a tech product.

Without knowing how to code, my options were extremely limited. I couldn’t build an app, or a clever website, or a Chrome extension. That just wasn’t possible. If I wanted to do that, I’d have to:

A) Go out and raise money
B) Find a technical co-founder
C) Go learn how to code

But today, with tools like Replit, that’s no longer the case.

And while not many marketers are talking about Replit right now, I genuinely believe it will become one of the most used tools in marketing over the next 18 months.

Let me show you why.

Firstly, if you’ve never heard of Replit, here’s how it works:

1/ You’re given an “AI Agent” - which is like ChatGPT that you can talk back and forth with.

2/ You tell your agent what you want - it then goes and codes the app for you.

3/ You tell it any edits or adjustments - it will then make them for you and ask you for key details it needs when it needs them.

See the agent chat on the left, on the right is the preview of it coding

When I tell you it is mind-blowing to watch, I’m not lying - and here’s how we used it recently…

One of our clients came to us and wanted to create a lead magnet around their “investor black book,” a database of all the investors they had relationships with.

6 months ago, the best version of that would have been a Google Sheet. Sure, people would download it. But it wasn’t anything special.

This time, we said, let’s not settle for surface-level. Let’s build a mini app around it.

We opened up Replit and briefly explained what we wanted. Nothing overly detailed, just that we had a list of investors, and we wanted to show users a small preview of them. To unlock the rest, they would have to book a call with the client.

Within two minutes, we had a fully functioning first draft of the app.

But it didn’t just take people’s contact details and serve a static list.

It was a working product.

Users entered some basic info about their company, and the app would use AI to match them with the 10 best-fit investors from the list. It would also surface another 50 close matches, complete with contact details.

All of it, the logic, the AI matching, the interface, was handled through Replit.
All it took was a couple of back-and-forth messages with their AI agent.

I have no idea how to code. I can’t design. I can barely build a website in Wix.
Yet now, I can create working applications in minutes.

Oh, and the whole thing costs $25/month.

10 years ago, this thing would have been shut down for using magic spells. Today, anyone can access it. Absolutely crazy.

2) Lindy

A few weeks back on Modern Wisdom, Daniel Priestley shared a story about a shocking experience he had with Steven Bartlett.

He explained that while they were sitting together, Steven asked an AI agent to get them two bottles of water. The agent then went online, found a nearby shop that sold bottled water, placed the order, went on Just Eat and got it delivered straight to the studio. All from a single prompt.

That story wasn’t about convenience. It was a glimpse into what AI agents and tools like Lindy are starting to make possible.

If Replit gives you an AI coder, Lindy gives you an AI operations assistant. Think of it as a virtual employee who can run multi-step workflows across tools, hold context across tasks, and handle entire processes that would normally take a human hours. In some cases, even days to complete.

Let me give you a specific example.

In the screenshot above, you can see a Lindy agent designed purely for lead generation. You give it your ICP, and it handles the rest. It finds relevant companies and people, builds a lead list, then enriches it to give you their contact details, adds it all into a Google Sheet, and then sends the link over to you.

Once you have the database, you can ask it to go and research companies in the list, find more details, or, honestly, whatever else you could need.

And this is just one use case.

Lindy agents can:

  • Organise meetings just by CCing them in an email.

  • Send proposals

  • Respond to emails for you

  • Manage CRMs

  • And my favourite use case… even call your team members.

Yes, they have a “Elon Agent” that will call everyone in your team each week, ask them what they’re working on, then feed back a report to you.

This is where you can start talking about 1 generalist marketer being able to take everyone’s jobs.

If you had 1 competent marketer who had a deep understanding of using Lindy they could create swarms of 100 AI agents to complete each intricate task that their former colleagues used to.

The opposition argument would be that they “wouldn’t be as good”. I agree. But for £50/month vs £50,000/month. They only need to be 1/10 as good to have a massive ROI impact.

And while Lindy still requires a bit of setup, it’s improving fast. Within 6 to 12 months, it wouldn’t surprise me if more early-stage teams start building operations around agents like Lindy instead of hiring staff.

Once you set it up, it doesn’t just run one task. It runs entire parts of your business.

Right now, very few marketers are paying attention to this. That’s exactly why it’s worth exploring.

3) Clay

Now I questioned whether to include Clay in this or not as it’s such a different tool compared to the other two. But if there was one tool that I think every marketing team could easily start using from today, it’s probably Clay.

At a glance, it looks like a spreadsheet. But under the hood, it’s a combination of AI and integrations.

At its core, it will basically give you any information you want to know about your prospects to make more data-backed decisions.

Let’s say you host a webinar and collect 100 emails. Upload them to Clay and it can give you:

  • Their linkedin URL

  • Their recent content

  • The company they work at

  • Their career history

  • Their funding stage

  • The tech stack they use at their company

  • Their recent mentions in the press

  • Their negative online reviews

  • The biggest pain points they deal with in their role

This kind of data would normally take a team of 2-3 days to get together. Yet Clay does it in two minutes.

But it doesn’t stop at enrichment. You can then feed that data into AI blocks inside Clay to:

  • Write cold outreach messages

  • Segment leads based on shared traits

  • Personalise follow-ups based on job title or recent activity

  • Generate audience insights across the entire list

That means instead of sending the same follow-up to everyone, you can craft dynamic campaigns tailored to the pain points of different job roles, verticals, or company sizes.

I’d always avoided outbound marketing because of how ineffective and impersonal it was. I didn’t want our brand represented by some generic outreach getting pumped out.

Now with Clay, you can send more personalised outreach than you could even send yourself.

If you want to dip your toe into this new world of AI-powered marketing, Clay is probably where I’d start.

I understand that a lot of people are shouting about AI right now, and I’ve avoided talking about it too much for that reason. Our feeds are full of it, and people are even starting to get bored with it.

That being said, I genuinely believe the old age of marketing is coming to an end, and you can only resist these new tools and ways of doing things for so long.

 🌱 THE GREENHOUSE

Things I’ve saved this week that are worth seeing:

  • A great pod showing some great AI tools. (See here)

  • The DOAC AI debate. (See here)

TL;DR

If you’re a marketer and have never heard of any of these 3 tools, it may be time to start worrying. I don’t think these AI tools are better marketers than you. I don’t think they understand human psychology like you do. But I do think, if you’re not careful, another human using these tools will surpass you.

Something to think about.

Hopefully you found this breakdown useful. If you did, please share it with a friend.

Until next Sunday.

— Niall

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