We Tested 40 AI Agent Tutorials—Here’s What Actually Works

What if you could hire an intelligent assistant that never sleeps, understands your brand, writes your content, handles your leads, and slashes your marketing costs—all without touching a line of code?

In this game-changing podcast, we unpack over 40 hidden gems from Make.com’s most powerful AI agent tutorials. We’re talking about real-world strategies, zero-fluff insights, and four business-ready blueprints that could transform how you market, operate, and grow—faster and smarter than ever.

You’ll learn how AI agents are rewriting the rules of content creation, lead gen, customer support, and even e-commerce workflows. We reveal the exact prompts, tools, and workflows that top businesses are using right now—plus the biggest mistakes to avoid before you build your first agent.

If you think AI is just hype, this will change your mind. If you’ve dabbled but feel stuck, this will give you a roadmap. And if you’re already building, these insider tactics will take your setup to the next level.

Don’t waste months figuring it out alone. The future of smart automation is here—and it’s simpler, faster, and more powerful than you think.

Click play. Your AI-powered business upgrade starts now.

In this video, I'm going to review more than 40 different amazing tutorials on the new Make AI agent technology, and I'm going to summarize my findings in a PDF. Then I'm going to provide you with a podcast so that by the end of this video, you will feel way more confident about implementing AI agents using the Make platform.

The PDF includes four different business plans to help you get started the easiest way. I'll start this video by giving you a brief overview of the research method I used. Then I'll explain how you can get these PDFs for free, and then we'll jump into the podcast to help you understand how to use this new AI agent technology and Make.com.

Yesterday I put together a report on how to use Notebook LM, and I used 20 different YouTube videos to pull together a really good tutorial. There's a link up above right now. Check it out if you haven't watched that.

🛠️ The Research Method That Mined Gold from YouTube

Tomorrow I'm going to shift focus. I'm going to do a tutorial on Zapier AI agents and then after that I'm going to do this very same research on N8N, another powerful tool.

I'm going to review all of the available AI agent business plan tutorials so that I can learn and I can bring us the most important ways to use these AI agents to grow our business and to make some personal profit. So, here's the research method I used using Notebook LM.

I started off with the discover tool and I searched in here for different AI agent tutorials using Make..com and it found me a couple different resources, but then I had to go into YouTube and I searched out more tutorials and I went through and I found a whole bunch of different tutorials that I collected up and I grabbed all of those as resources.

There's a whole bunch of them and I've got all of those resources that are part of the tutorial PDFs that you can download.

Now, after I had collected all the resources, then I asked the LM a series of prompts. First, I asked it to review the sources for tutorials on how to use Make.com AI agents. And from the resource provided, give me a categorized list of the tutorial elements that are taught most often up top, the less common topics down the list, and then unique ideas down below.

📄 AI-Powered Insights Turned into Business Blueprints

Finally, identify any gaps and opportunities that other tutorials fail to cover. It provided a really fantastic in-depth response to this. It's amazing. And I saved all of this stuff into a note and then I turned that note into a source. And this is part of the PDFs that you can download down below.

The next step is I asked it to find and summarize all of the specific step-by-step plans of action for setting up and using Make AI agents. And again, it gathered together a really fantastic bunch of information. And I've got that in the PDF.

The next step is I asked it to give us a detailed account of the use case scenarios presented in the sources. I think the responses are fantastic. We got the base of four different business plans here, but it wasn't specific enough.

🎯 Real Use Cases for Content Marketing Domination

So, I got more specific with my own prompt and I asked it to give me case studies on how to improve the quality of content marketing while reducing marketing costs associated with manual marketing. And it really filled out those business plans a lot more. I saved that to a note and then I made that into a resource and I've put that into the PDFs down below.

And then almost the last step, I asked the LM, help me customize an audio overview that uses the case studies to explain how Make.com and the AI agent workflows can improve our content marketing and cut our costs. The audio script that it provided is fantastic. And I saved that to a note and then I converted that note to a source.

And then the final step was to instruct the audio overview to use this AI agents script in order to create the podcast. Now, as a result of this study, we have the PDFs that include the four different business plans to help you get started the easiest way.

🎧 Get Your Podcast + 4 Plans – Free Inside the AI Community

And we have a podcast that'll help you feel way more confident about implementing these AI agents using the Make platform. I saved all of the research and the audio overview guide into separate PDF documents and I've made those available inside our AI community.

Visit: https://whop.com/ai-businessplans to join and access everything.

You can click on learn, go into the business area and where you can download and access everything.

And I really want this to be accessible for everyone.

So, I always have a 7-day free trial where you can access all the PDFs that I talk about here, but you also get access to the entire stack of our Make automation blueprints that you can use with your AI agent to really help you get automated right away.

I really learned a lot by putting this research and this podcast together, and I hope you do, too.

Let's jump in.

🌊 Welcome to the Deep Dive: Real Talk on AI Agents

Welcome to the deep dive. We're here to cut through the clutter and give you the actionable insights you need for your business.

That's right. Today, we're diving into something potentially game-changing.

AI agents and how they can transform your online marketing. Think of this as your fast track to understanding how AI can help you work smarter, maybe finally escape that feeling of information overload.

Yeah, absolutely. Our mission today is pretty clear.

We want to explore how these AI agents can really boost your content marketing, help cut costs, and streamline your whole social media operation.

🧠 AI Agents Explained: Not Just Bots, They're Smarter Than You Think

And we've looked at quite a bit of material for this.

We have. We've gone through articles, some really interesting community forum chats, and even transcripts from YouTube videos all focusing on Make.com's AI agents, but also general best practices for using AI agents effectively.

Great. So not just theory but practical stuff you can actually think about using. And hey, if you like these kinds of deep dives, make sure you subscribe to the channel for more. Okay, so let's get into it.

What exactly are these AI agents we keep hearing about? Okay. So, at their core, AI agents are basically AI systems that can understand instructions you give them and then actually take actions to get things done.

Take actions. So, they do stuff on their own. Pretty much. That ability to act autonomously is key.

Oh, but it's more than that. They combine autonomous decision-making, like they can figure stuff out, with natural language processing. So, they understand and talk like humans.

Okay. They also have adaptive learning, meaning they get better over time. And they integrate really smoothly into platforms, especially like Make.com, which we'll talk about. Plus, they're scalable and designed to be, you know, relatively user-friendly.

🛠️ Old-School Automation Is Dead: This Is the Future

Right. So, it's not like the old automations where you just set up step one, step two, step three, and that's it. Exactly. That's a great way to put it. Traditional automation is linear, very rigid.

An AI agent, though, it can kind of think in the moment. It uses its AI smarts to make decisions in real time depending on what's happening. It's much more flexible.

And Make.com actually rolled out their AI agents back in April 2025. Their whole goal was to let anyone, like really anyone, inject intelligence into their workflows without needing to write a single line of code. Making it accessible.

I like that. So, how does this impact content marketing specifically? Can they really help produce better content?

Oh, the potential here is huge. Which actually brings me to the case studies we put together.

📈 Case Studies That Prove AI Agents Can Level Up Your Marketing

Ah, yes. Perfect timing. We've compiled four real world case studies showing how businesses are using AI agents right now for marketing. It's a PDF download and you can grab it using the link in the show notes. It gives some really concrete examples.

Definitely check those out, folks. The link is right there in the show notes. We saw in one article, AI agents for content marketing, that they can generate all sorts of stuff: social media messages, reports, those personalized emails everyone wants, blog posts, even LinkedIn articles—for real.

Okay. They use these advanced language models to do it. So, you can basically go from an idea to having content ready for different channels much, much faster. It frees you or your team up for the higher level strategy stuff.

Can you give me a specific example? Like, how would that work in practice?

🤖 The AI-Powered Social Media Manager Example

Sure. So, imagine you set up an AI agent to be your "social media manager." You tell it your brand's voice. Maybe it's witty. Maybe it's formal. And you could even tell it to use emojis, things like that.

The agent then creates posts that are consistent with that voice across, say, Facebook, X, Instagram. You get brand consistency without having to manually craft every single post.

That makes sense. Consistency is key. And what's really cool is that you can plug specialized tools into the agent’s workflow. So maybe you don't just want generic AI text for LinkedIn. You could have the agent use a specific LinkedIn post writer tool that knows how to format and phrase things perfectly for that platform.

Ah, so you layer specialist tools within the agent.

Exactly. We're even seeing things like dedicated SEO blog post writer agents. So they don't just write but do the research and optimize the content to rank better in Google.

Okay, that's impressive. So better quality, more consistency. What about the bottom line? Does it actually save time and money?

💸 Time is Money – And AI Saves Both

Absolutely. That's one of the biggest drivers. When you automate content generation, you're cutting down massively on manual labor.

Think about having a content creation assistant agent. It could potentially handle research, writing drafts, scripting videos, maybe even taking a blog post and turning it into social snippets.

All that stuff takes time, a lot of time, right? So, this kind of automation can seriously speed up your workflows. We're talking about launching marketing campaigns in like days instead of the weeks it might normally take.

Can feel like an overnight change.

Days versus weeks—that's a significant speed increase.

It really is. And think bigger picture. One agent could potentially extract info from a document, send out personalized emails based on that info, and update your CRM system all in one go.

Wow. For larger companies handling tons of emails or data, the savings can be enormous.

And then there's repurposing content—taking a video you made and having an agent automatically turn the transcript into social media posts or a blog article.

Yeah, that's smart. Get more value out of what you already created.

Yeah, exactly. Saves time, saves money creating new stuff from scratch. At the end of the day, a major benefit of these agents in marketing is just a straight-up reduction in operational costs and labor costs—money you can then use for, you know, growth.

⚠️ Don’t Go In Blind: Crucial Setup Tips for AI Agents

Okay, this sounds incredibly promising, but it can't be that easy, right? How do businesses make sure they're setting these things up correctly? What are the key things to keep in mind?

That's a really important question. You can't just jump in blind. One of the sources we looked at, Chad Simple, really emphasized the need to define clear goals first.

Okay, goals first makes sense. You have to be super specific. What exactly do you want this agent to do? Is it qualifying leads? Is it analyzing marketing data for reports? Is it handling basic customer questions? Recommending products? You need that precise target.

Right? If you don't know the destination, you can't plot the course.

What's next?

Next up, and this is critical, is ensuring accuracy and reliability. AI can sometimes, well, make stuff up. It's called hallucination.

Yeah, I've heard about that. Not ideal if it's talking to your customers.

Definitely not. So, you need to feed it good information—complete, accurate, up-to-date, unbiased training data—if you're building something complex.

✍️ Clear Prompts, Smart Models: How to Build Better Agents

For the no-code agents like in Make.com, it's all about writing really clear, specific instructions or prompts. Tell it exactly what to do and how.

Gotcha. Clear instructions. And choosing the right AI model helps, too. Platforms often give you choices like GPT-4.0, which is really capable, or Claude 3.5 Sonnet for more nuanced stuff—maybe even smaller ones like GP01 mini if speed is key.

Picking the right brain for the job improves accuracy. Choosing the right tool, essentially.

Okay, so clear goals, accuracy. What else?

Number three is aligning the agent with your brand. If the agent is interacting with people—its personality, its tone, how it communicates—it all needs to feel like your brand.

Ah, so it doesn't sound like some generic robot.

Exactly. Consistency builds familiarity, builds trust. A B2B company probably wants a professional tone, right? But if you're selling to college kids, maybe it's more playful. It needs to fit.

Brand voice is key. Got it. Anything else, major?

👁️ Transparency + Integration = Trust and Functionality

Well, transparency is something to think about. People generally trust things more if they understand at least roughly why the AI is doing what it's doing.

Now, the inner workings can be black-boxy, right? Complicated. But having those clear goals we talked about and good training helps make the outputs more predictable and therefore more trustworthy.

And finally, integration. AI agents rarely work in isolation. They need to connect to other things precisely. They need access to data.

They need to trigger actions in other systems. This is where platforms like Make.com really shine because they're built for connecting different apps and services together seamlessly.

Okay, that framework—goals, accuracy, brand, transparency, integration—that's super helpful. Let's make it more concrete.

💡 Real Businesses, Real Wins: Examples That Prove the Power of AI Agents

What are some actual, like real-world examples you've seen of businesses using these for online marketing?

Oh, there are some great ones. Content repurposing is a big one, right? We saw a video example where someone built an agent that takes a video script and automatically turns it into, say, a thread for X, a longer post for LinkedIn, maybe even ideas for short TikTok clips. And you can give it specific rules like always include the original YouTube link to drive traffic back.

That's brilliant. Squeezing every drop of value out of one piece of content.

Totally. Then there's lead qualification. Instead of someone manually researching every new lead that comes in—which takes forever, right?—an agent can do that initial research. It could look up the company, figure out if it's, say, a potential software client or maybe a fit for your agency services, and then automatically route that lead with the info to the right salesperson on Slack or via email.

Okay, so it speeds up getting leads to the right place. What about talking to customers?

Customer support, definitely. Agents can handle common questions instantly via website chatbots. Some can even manage basic phone interactions, provide quick quotes, capture lead details. We saw an example of a Slack assistant built to answer common questions for Make.com users by searching a knowledge base.

And there was a really interesting discussion on the Make Community forum about building a support agent for a WordPress site that actually uses the history of past chats to understand ambiguous questions better.

Using past conversations—that sounds much more helpful than starting fresh every time.

Exactly. That context makes a huge difference in the quality of support. We're even seeing things like inventory management for e-commerce.

🛒 Beyond Marketing: Smart Agents for Operations and Sales

Really? How does that work?

An agent monitors stock levels, maybe automatically creates a draft purchase order when something’s low, and sends a notification via Slack. And going back to content quickly, agents are great for generating those personalized emails that tend to get much better open and click-through rates.

Man, the applications seem really broad.

Okay, so we get what they are, the benefits, how to approach them, some examples. Now, for the listener thinking, "Okay, I want to try this," how does Make.com fit in? How do you actually build one there?

Right. So, Make.com, as we mentioned, is this no-code platform that added AI agents in April 2025. The basic idea is pretty straightforward. You define what you want your agent to do using plain English prompts. Just describe it.

🧩 Make.com Breakdown: Building Agents Without Code

Yeah, you describe its mission, its personality, its tasks. And then the crucial part is you connect your existing Make.com automations—they call them scenarios—as tools for the agent.

Tools like skills?

Exactly like skills. So, you might have one scenario that searches Google, another that drafts emails, another that updates your spreadsheet. You tell the agent, here are your tools.

Then when you give the agent a task, it intelligently decides which tool or sequence of tools it needs to use to accomplish it.

Okay, so you build the individual skills as separate automations and the agent orchestrates them. Got it.

You can think of the AI agent as the master scenario or the brain, and the other scenarios are its hands and feet doing the specific actions.

And you mentioned different AI models earlier?

Yes. Make.com lets you choose. You might use something powerful like GPT-4.1 or Claude 3.5 Sonnet for complex reasoning, or maybe a lighter model if the task is simpler and you want to save on costs. A big plus is you usually use your own API key.

Why is that important?

It gives you control over your spending on the AI models and, crucially, more control over your data privacy and security compared to just using a built-in model where you don't know exactly where the data goes.

🧠 Control the Agent’s Brain: Personality, Prompts, and Smart Design

Right. Data control is huge. How do you control the agent’s overall behavior—its personality?

That's done through the system prompt. This is super important. It’s where you define, again in natural language, the agent’s core mission, its tone—should it be formal, friendly, funny? Any specific rules it must follow? And even how it should format its answers—like if you want JSON output or just plain text.

So the system prompt is like its constitution or rule book.

Good analogy, yeah. And for really complex stuff, you can even build agents that manage other agents—like a main manager agent that delegates tasks to specialized sub-agents, each with their own tools. Creates a really robust system.

Wow. Okay. Agents managing agents. It can get quite sophisticated.

And then within your regular Make.com scenarios, you just use a specific module called "Run an agent" to actually trigger your AI agent to do its work.

They also let you set up always-available tools that the agent can use any time, and they have templates to get you started faster. Plus, you can duplicate agents you’ve already built.

⚙️ Hidden Pitfalls: What to Watch Out For When Building

Sounds like they’ve put a lot of thought into making it usable even for complex setups.

They have. But of course, it's not without its potential bumps in the road. There are challenges and considerations.

Ah, okay. What should people watch out for?

Well, one thing is complexity. It’s easy to get carried away and build something super intricate that's actually inefficient. You need to understand the core workflow you’re trying to automate. Keep it focused, right?

Another practical issue can be timeouts. If an agent task involves a lot of steps or thinking, it might take too long, and the automation could time out. So, designing for efficiency matters. And error handling is key. What happens if a tool fails? Your workflow needs to handle that gracefully.

Good point. Things don’t always go perfectly.

Exactly. And a really big one, especially for chatbots or support agents, is memory. How does the agent remember the context of the conversation from one message to the next?

Yeah, we touched on that. How is that handled?

Make.com has things called data stores, which are like mini databases where you can save conversation history or user details so the agent can retrieve that context. Sometimes just passing a unique chat ID might be enough for simpler cases, but often you need a proper memory system.

Okay. So there are solutions, but you need to plan for it.

Definitely. And finally, that challenge of transparency we mentioned earlier—making it clear or at least predictable how the AI makes decisions to build user trust.

That’s an ongoing area of development in AI generally.

📌 Final Thoughts: The Future of Smart, Self-Learning Marketing

These are definitely important considerations for anyone planning to implement these. Practical hurdles to be aware of.

Absolutely. And, you know, seeing how others have tackled these things can be really helpful—which actually brings me to the case studies we put together.

Ah yes, perfect timing. We’ve compiled four real world case studies showing how businesses are using AI agents right now for marketing. It’s a PDF download and you can grab it using the link here. It gives some really concrete examples.

https://whop.com/ai-businessplans 

Definitely check those out, folks. The link is right there on the show notes.

Okay, so as we start to wrap this up, what’s the main takeaway? If a business owner listening is thinking about AI agents for marketing, what should they really focus on?

I think the main takeaway is that these AI agents, especially when integrated through a platform like Make.com, offer a genuinely powerful way to upgrade your online marketing.

Upgrade how specifically?

By boosting your content quality and how efficiently you create it, by saving you significant time and money through smart automation, and just generally streamlining all those different marketing tasks.

Social media, email, lead management, support.

It really seems to cover a lot of ground.

It does. And my advice would be—start experimenting. Now’s the time. This isn’t just some futuristic fantasy. It’s the direction things are heading. Getting comfortable with these tools now could give you a real edge.

So, the future is kind of already here in a way, and it's about learning and adapting.

Exactly. And that brings me to maybe a final thought for you to consider. How could the ability of these AI agents to learn and adapt over time create a truly intelligent, responsive online marketing presence for your business?

One that doesn’t just follow instructions, but actually gets smarter.

That is a powerful thought—an evolving marketing engine.

Well, if this deep dive into AI agents got you thinking and you want more insights into cutting-edge tech and how you can apply it, please do hit that subscribe button.

Join us for future deep dives.

Yeah, we’ll keep exploring these tools and bringing you the insights you need to navigate what’s next.

Thanks for tuning in.

I saved all of the research and the audio overview guide into separate PDF documents and I've made those available inside our AI community.

Visit: https://whop.com/ai-businessplans to join and access everything.

You can click on learn, go into the business area and where you can download and access everything.

And I really want this to be accessible for everyone.

So, I always have a 7-day free trial where you can access all the PDFs that I talk about here, but you also get access to the entire stack of our Make automation blueprints that you can use with your AI agent to really help you get automated right away.