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How to make money on the internet by creating no-code apps

how to make money online by creating apps with no code

With the post-pandemic digital business boom, you may have wondered how to make money on the internet and how you can take advantage of this new economy.

In this article we will approach one of the ways, in a little explored niche, the application creation, and we will explain why.

It's no secret that we are in the age of technology. After all, everyone uses some app or software on a daily basis.

With that you can already imagine that this is a market that turns a lot of money. And yet, I can tell you that this is an underexplored niche with many opportunities.

This text is the most important content of this blog. In it, we will show you the essence of what we will seek to bring in content here at No-Code Start-up.

Let's talk about the top 6 ways to make money on the internet by creating apps, and best of all: Not knowing how to program.

As a bonus, I will introduce you to a concept that will change your life: The ladder of prosperity.

Great opportunity to make money online

Well, I'm sure you've heard countless stories of people making a lot of money on the internet, whether through digital marketing with product sales through an online store, digital courses or other means.

All of this intensified even more after the pandemic.

The internet is full of opportunities and it is a market that grows more and more every year.

Working with digital businesses can greatly improve your quality of life, as you can achieve financial freedom, with your own income and geographical freedom, working from home (or traveling).

Well, I think it's pretty clear to everyone that the digital market has a sea of opportunities on how to make money.

How to begin?

One of the main initial decisions is the choice of niche, as you must aim at a market with hot opportunities.

And I'll give you the golden tip! From one of the fastest growing and underexplored niches: Application creation.

Nowadays technology is used to solve thousands of different problems. People and companies need to create software to scale their business.

That's why, currently, the most sought-after professionals on the market are programmers. After all, they are capable of creating technology.

The problem is that to work in the area is an arduous path!

There are years of programming studies, projects and a lot of practical learning to become a good professional. And it's not for everyone...

The good news is that you don't need to know how to program to create apps! All this thanks to no-code, a recent term but with more and more space in the market.

In recent years, dozens of companies creating no-code tools, where we can bring apps to life just by dragging blocks and structuring all the logic behind it.

With the advanced no-code platforms, it is possible to create practically any type of application, from virtual stores, marketplaces and even elaborate SaaS (Software As a Service).

Yea! Today it is possible to create apps and systems without needing a programming language.

Well, without further ado, let's get to know the ways to make money on the internet by creating apps?

The No-Code Start-Up Prosperity Ladder

For that, I want to present a concept that changed my way of thinking and that is our driver here in our content and in our Youtube channel: The Ladder of Prosperity.

It shows how a person can grow their wealth throughout their life. Each step has its challenges and difficulties, but as they are reached, projects become bigger and financial prosperity increases exponentially.

We have also adapted the ladder to the world of nocode, making it easier for you to understand how to make money on the internet with no-code. But come here with me and I'll explain it to you in detail:

Step 1 – Employee

How to make money on the internet by creating apps as an employee no-code

Rung 01 is where most people are or start.

The first step is the traditional work model, where we exchange our hours worked for a salary in a company.

Within the no-code world, we can use it to create powerful automations or internal softwares.

Benefits

  • It is the “easiest” and safest way to start earning money.
  • It's ideal to start with, as you learn essential skills in a professional environment, in a controlled environment.

Considerations

  • As we have limited time, our earnings are also limited – You can even level up and be promoted, but in most cases your financial gain is from the hour worked.
  • It may happen that we do not have financial and geographic freedom depending on the vacancy.
  • In addition, we are subject to all the problems we already know: salary, boss, and all known problems in the business world.

Step 2 – Freelancer No-Code

How to make money with no-code freelance

Climbing up to the next rung is where you work as a no-code freelancer.

In this case you still exchange your working hours for a value, but now you own your own company and perform software development using no-code tools.

There are hundreds of companies, startups and people looking for no-code freelancers, the opportunities are huge.

Benefits

  • Possibility to work more hours and receive more for it. Or work less if you want, have fewer responsibilities (there are no fixed hours).
  • Now you have more professional freedom.
  • You can build a personal brand and increase your ticket.

Considerations

  • Along with freedom comes risk – You have to worry about getting more projects, because you don't have the salary falling normally.
  • Here, in this case, you are still tied to your working hours.

Challenges to climb this step:

  • self management
  • Create a strong personal brand
  • Sales (on a small scale)

Step 3 – Mentoring

How to make money on the internet by creating apps giving mentorships no-code

On step 3 you offer your experience and expertise for consulting sessions in the no-code world.

It requires you to have great technical mastery of what you are proposing to mentor in addition to a strong positioning as a reference to get clients.

Benefits

  • Here you still earn per hour, but usually a much higher amount as it is a specialized service and 1 - 1.
  • You can sell mentorship packages, creating a revenue stream.

Considerations

  • A lot of project experience is required.
  • It's interesting to have a strong personal brand and contact network.

Step 4 – No-code Agency – Software House no-code

How to make money on the internet by creating apps with software house no-code

As a feelancer you manage to run a limited number of projects, it's time to move forward on the ladder of prosperity, expanding the number of projects by creating your own no-code agency.

At this point you have people running the projects for you, so the number of projects under your management can grow.

But big responsibilities such as hiring, people management and process management are starting to be important.

Benefits

  • Expansion and increase in revenue
  • You can outsource services and

Considerations

  • Increased complexity in project management
  • greater responsibility

Challenges to climb this step:

  • Better defined professional processes
  • sales processes
  • Hiring and managing people

Step 5 – Micro-SaaS

Ladder of Prosperity No-Code Start-Up micro-saas no-code

So far, we have dealt a lot with services, which are generally directly linked to hours worked, whether yours or those of your employees.

In this step 05 we start to separate hours worked from the revenue generated with products.

Micro-SaaS is a term that has been gaining strength in recent years, as it is a type of project that requires less effort from the entrepreneur, since it solves a small problem, usually in a specific niche.

As it is a “product”, the word scale starts to make more sense, as your efforts do not grow as the number of customers grows and that is where beauty lives.

Benefits

  • Work with “products” and gain scale
  • Positioning yourself in a micro niche makes it easier to create a valuable product
  • Create systems with less complexity and generate recurring revenue

Considerations

  • Deal validation can be an arduous process and will take many failures to get it right
  • In most cases there is no intention to scale and grow exponentially because here we focus on just one niche.

Step 6 – Startup

No-Code Start-Up Prosperity Ladder

Finally, the last step on the prosperity ladder and one of the ways to make money on the internet with no-code is to create your own Startup.

A startup is nothing more than a business that can scale exponentially and be highly profitable. It can be a SaaS, marketplace, ecommerce, platform or even a digital bank.

Examples of the largest Brazilian startups – Nubank, Gympass, Quinto Andar and Hotmart.

Citing as an example the startup of the founders of No-Code Start-Up (Matheus Castelo and Celso Camarano), you can get to know Ikigai Experience, today the largest digital diving agency in Latin America.

Benefits

  • You can create SaaS / micro SaaS to have recurring income with products.
  • You will be able to exponentially scale your business,

Considerations

  • Increased complexity of creating a successful product
  • It requires great market validation and depending on the niche and solution, high investment.
  • It involves many areas.

Thoughts on the no-code Prosperity Ladder

It is important to comment that one step is not better than the other, each step has its characteristics, strengths and points of consideration.

It's also not because the staircase is divided this way that you need to start at the base and climb the staircase step by step. T

It doesn't mean that you can't be on two steps at the same time.

On your financial journey, ask yourself:

  • What scale do you want to reach? On a financial level
  • What lifestyle do you want? What kind of problems do you want to solve?

This ladder can be applied to many different business niches. However, we strongly believe that the no-code is the most powerful way to move between all these steps!

That's why here at No-Code Start-Up, the ladder of prosperity will be the basis for all our content. It is the core of our business, and our mission is to help you take every step forward with no-code.

Right, but now that we understand the ladder. Let's explore each step further and find out how to make money on the internet by creating applications with no-code?

How to make money on the internet by creating no-code apps

Let's go to the options:

How to make money on the internet by creating apps in a company

Right, but now that we understand the ladder. Let's explore each step further and find out how to make money creating apps?

The first way is to use no-code within companies. In this case we have two possibilities:

1 – If you already work in a company, you can use no-code to create robust automations or create powerful internal softwares for your team.

Examples of internal projects:

  • Automate filling out spreadsheets or sending emails
  • Automate reports
  • Automate communication with customers
  • Create a job portal for hiring

2 – The second way is to look for vacancies in a company that is hiring nocode programmers. It could be to create apps, websites or automations.

As programmer labor is very expensive, many companies are starting to invest in no-code tools. Over the years, the number of vacancies for nocode programmers will explode.

company vacancies

  • bubble programmer
  • Work as a SAP Appgyver (SAP) developer
  • Power apps with many vacancies due to easy access to the tool by companies

Average no-code Bubble 2022 developer salary in Brazil

how much does no-code developer earn?
Source: TV source code

No-code is still new to the business world, but over the years the market will be more and more into the No-Code universe.

How to make money on the internet by creating apps like Freelancer no-code

On the next step, it's time to become a freelancer and earn money on the internet by developing apps and softwares. In this case you can earn money:

  • Creating applications for small regional businesses;
  • Creating Apps for Startups
  • Creating apps for Brazilian No Code Agencies
  • Creating apps for international projects

Here the opportunities are practically limitless! Because there are many companies in need of technology creators, such as startups and no-code agencies.

In Brazil, you can find opportunities as a no-code developer in no-code communities, such as the No-Code Start-Up community itself, positioning yourself as an expert on social networks or partnering with no-code agencies.

In addition, it is also possible to find projects on freelancing platforms such as Upword and Fiverr.

In the international market, the opportunities are even greater, where you can take on projects such as freelancing and earn in dollars.

It is possible to work in partnership with some freelancer platforms focused on no-code such as WeLoveNoCode and Codemap.

And as in Brazil, you can also partner with no-code agencies, such as AirDev, one of the largest no-code agencies in the world.

Make money on the internet by mentoring no-code

On this step you use your knowledge and experience to mentor in the world of nocode

You can mentor:

  • application planning
  • Technical support
  • monetization methods
  • Market strategy

Mentoring is a great way to increase the value of your time. It is a personalized 1-1 service and requires greater expertise in the subject.

In international opportunities, mentoring can reach U$D100 or even U$D150 per hour.

To find opportunities of this type, you need to have a strong personal brand, a good portfolio and start building a network of contacts.

For this, it is important from the beginning of your journey to focus on developing a good portfolio, ideally on your own personal website and developing a relationship of reference on social networks such as Twitter and Linkedin.

Scale your projects and billing with your no-code Software house

On the next step, it's time for you to go a step further and create an Agency. At this stage, it is necessary to organize the house, have good management and sales processes. In addition to knowing how to hire and manage people.

This way, you will be able to multiply your project. As a freelancer, your income will be limited, as you only depend on your own time.

With a No Code Software House you will be able to get more projects, hire developers and manage your company.

To create an agency is a big step, because here, in addition to nocode's skills, you need to have numerous business and people management skills.

There are no shortcuts to creating your own software house no-code, you will need to have gone through the freelancer step or have worked in a company developing applications to increase your chances of success.

Seeking business mentors can be of great help at this stage, after all you are actually setting up a company and a lot of knowledge will now be needed. Mentors can be the fastest way to success.

How to make money on the internet by creating your Micro-SaaS application

A micro-saas must solve a real and clear problem and to be “micro”, it is often specific and niche. They are perfect for creating a less complex project, but which generates a good recurring financial return.

In order to earn money on the internet with your Micro-SaaS, it will be important that you go through the problem and solution validation steps.

You will need to understand well:

  • What problem are you proposing to solve?
  • Who in fact is the main person who suffers from this problem.
  • How big is that market.
  • If there are competitors
  • What sets you apart and why do you

Some examples of Micro-SaaS:

Micro-SaaS is a trending term as it is a business that can be managed with a lean team and allow for a more relaxed lifestyle compared to startups.

You can learn more about this world and ways to earn money on the internet by creating Micro-SaaS applications by following our channel and also the Micro-SaaS community by Bruno Okamoto, space 100% focused on Micro-SaaS.

Create your own startup with no-code

As well as for the development of Micro-SaaS, the no-code fits perfectly for the creation of new startups, as its creative power, innovation and flexibility are impressive.

We believe that in a few years, ALL technology-based startups (applications and softwares) will be born from no-code tools.

With weeks or months we can create applications and softwares. So we can create technology to solve people's problems and have our own startup.

You can create a startup focused on:

  • A SaaS (Software as a Service) or Micro SaaS to solve a specific problem and charge per subscription;
  • An ecommerce to sell products;
  • A Marketplace
  • Or any other technology...

As an example we cite the Ikigai Experience, a digital agency created by Matheus and Neto, fully funded by no-code and which today earns thousands of reais annually from the sale of diving experiences.

To make money with your startup, as well as with your micro-saas, it is important that your idea is validated and solves a real problem.

Many startups die for not finding a “Product Market Fit”, which is nothing more than finding the ideal product for the problem you are trying to solve.

By finding your niche and your “PMF”, your business will have the possibility to scale exponentially.

But we cannot fail to mention that creating a startup is a complete process that requires numerous areas of knowledge and action, not just technology.

I hope this content has opened your mind about the possibilities of how to make money on the internet by creating apps and that you have understood the power of no-code for this.

If you liked this content, be sure to subscribe to our YouTube channel and share this content.

Want to start learning no-code and join this revolution?

Meet our free bubble course and start building complete apps today

How to make money on the internet with no-code?

1. Employee in a company
2. As a freelancer
3. Giving mentorships no-code
4. Creating your software house no-code
5. Creating your micro-saas
6. Creating your start-up

What is the no-code prosperity ladder?

Concept created by No-Code Start-Up that demonstrates the possible paths for a no-code professional.

Each path has its benefits and consideration points, generating different levels of income and lifestyles.

Additional Content:

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Matheus Castelo

Known as “Castelo” (Castle), he discovered the power of technology by creating his first startup without writing a single line of code and has since dedicated himself to showing how AI can transform ideas into real products. Today, he is recognized as one of the leading names in Brazil in the creation of AI projects applied to business, automation, and softwares (One Top 5 Tools), helping thousands of people launch their own technological solutions from scratch. With an engaging teaching style and a focus on making technology accessible, he was elected Educator of the Year by Flutterflow and became an Official Lovable Ambassador in Brazil. Today, his focus is on creating applications, SaaSs, and AI agents using the best No-Code tools, empowering people to innovate without technical barriers.

Also visit our Youtube channel

Learn how to create AI Applications, Agents and Automations without having to code

More Articles from No-Code Start-Up:

Straight talk: 2026 will be a game-changer for those who want to make money with... AI (Artificial Intelligence).
Opportunities exist, but not all are worth your time, and some promise much more than they deliver.

In this article, I've organized the main ways to monetize AI into clear categories, with pros, cons, and the actual level of effort involved.
The idea here is to help you choose a conscious path, without falling into illusory shortcuts.

AI applied to the workplace as an employee (career and security)

If you already work for a company, applying AI to your daily routine is one of the safest ways to start.
You learn, experiment, and build real projects without sacrificing financial stability.

It's possible to create internal automations, agents, and even softwares that increase efficiency, reduce costs, and generate a direct impact on the business.
When that happens, recognition tends to follow — provided you generate real results, and not just "use AI for the sake of using it".

AI applied to the workplace as an employee (career and security)

The key point to understand is that you are not building something that is your own.
Even so, for learning and professional growth, this is one of the best entry points.

AI for managers and business owners

AI for managers and business owners

For managers and business owners, AI perhaps represents the biggest financial opportunity of 2026.
Most companies are still lost, lacking method, strategy, and clarity on how to apply AI to their processes.

When applied correctly, AI improves performance, reduces bottlenecks, and accelerates results in sales, customer service, and operations.
The challenge lies in the excess of tools and the lack of a clear methodology for the team.

Whoever manages to organize this chaos and apply AI with a focus on results will capture a lot of value.
There's a lot of money on the table here, really.

AI-powered service delivery: an overview

AI-powered service delivery: an overview.

THE AI-powered service provision It's one of the fastest ways to generate income.
You solve real business problems using automation, agents, and intelligent systems.

This model unfolds into freelancer, freelancer for international clients, agency, and consultancy.
Each one has a different level of effort, return, and complexity, but all require execution.

This is where many people really start to "make the wheels turn.".

Freelancer working abroad (earning in dollars)

Freelancer working abroad (earning in dollars)

Freelancing for international companies is, without exaggeration, one of the best options for making money with AI.
Earning in dollars or euros completely changes the game.

You're still trading time for money, but with a much greater return.
The biggest challenge is the beginning: getting the first project and dealing with the language, even at a basic level.

After the first client arrives, referrals start to come in.
For those who want quick results and are willing to sell their own service, this path is extremely compelling.

Creating an AI agency

Creating an AI agency

AI agencies are the natural evolution of freelancing.
Here, you scale people, projects, and revenue.

The market is still immature; many people do everything wrong, and this creates opportunities for those who do the basics well.
You can close deals, build teams, and deliver complete solutions with AI.

The challenge then becomes management: people, deadlines, processes, and quality.
Even so, by 2026, it's one of the fastest ways to consistently monetize AI.

👉 Join the AI Coding Training Learn how to create complete prompts, automations, and AI-powered applications—going from scratch to real-world projects in just a few days.

AI consulting for businesses

AI consulting for businesses

Consulting is an extremely lucrative model, but It's not a starting point..
It requires practical experience, process understanding, and diagnostic skills.

The financial return is usually high relative to the time invested.
On the other hand, you need to have authority, a track record, and a real portfolio of projects.

For those who have experience in agencies, product development, or large-scale implementations, this is an excellent career path.
For beginners, it doesn't make sense yet.

Founder: Creating AI-powered apps

Founder creating AI-powered apps

Creating AI-powered apps has never been more accessible.
Tools like Lovable, Cursor and integrations with Supabase They make this possible even without a technical background.

The financial potential is high, but so is the difficulty.
Creating technology is no longer the differentiating factor — today, the challenge lies in marketing, distribution, finance, and validation.

It's a path of great learning, but with a high error rate at the beginning.
It's worth it if you're willing to make mistakes, learn, and iterate.

Micro SaaS with AI (pros and cons)

Micro SaaS with AI (pros and cons)

O Micro SaaS It solves a specific problem for a specific niche.
This reduces competition and increases the clarity of the offer.

It doesn't scale like a traditional SaaS, but it can generate a consistent and sustainable income.
The challenge remains the same: marketing, sales, and management.

It's not easy, it's not quick, but it can be a great side business.
Here, I classify it as an "okay" path, as long as you have patience.

Traditional SaaS with AI

Traditional SaaS with AI

O SaaS traditional It has greater potential for scaling, but also greater competition.
You solve broader problems and compete in larger markets.

This requires more time, more emotional capital, and greater execution capacity.
Therefore, the Micro SaaS often ends up being a smarter choice at the beginning.

SaaS is powerful, but it's definitely not the easiest path.

AI-powered education: courses and digital products

AI-powered education courses and digital products

AI-powered education is extremely scalable.
Once the product is ready, delivery is almost automatic.

The problem is time.
Building an audience, producing content, and establishing authority takes months—sometimes years.

Here in NoCode Startup, It took us quite a while for the project to become truly financially relevant.
It works, but it requires consistency and a long-term vision.

AI Communities

AI Communities

Communities generate networking, repeat business, and authority.
But they also require constant presence, events, support, and a lot of energy.

It's a powerful, yet laborious model.
I don't recommend it as a first step for those who are just starting out.

With experience and an audience, it can become an incredible asset.

Templates, ebooks, and simple products powered by AI.

Templates, ebooks, and simple products with AI.

Templates and ebooks are easy to create and scale.
That's precisely why competition is fierce and perceived value tends to be low.

Today, if something can be solved with a question in ChatGPT, It's difficult to sell only information.
These products work best as a complement, not as a main business.

To make real money with AI, deliver execution and result That's what makes the difference.

Next step

Next step

There's no such thing as easy money with AI.
What exists is More access, more tools, and more possibilities. for those who perform well.

The most solid paths involve providing services, well-positioned products, and building authority.
The easier something seems, the greater the competition tends to be.

If you want to learn AI in a practical, structured way, focused on real-world projects, check out... AI Coding Training.

Technology is undergoing a historic transition: from passive softwares to autonomous systems. Understanding the types of AI agents It's about discovering tools capable of perceiving, reasoning, and acting independently to achieve complex goals, without the need for micromanagement.

This evolution has transformed the market. For professionals who want to lead the AI infrastructure, Mastering the taxonomy of these agents is no longer optional.

It's the exact competitive differentiator between launching a basic chatbot or orchestrating a complete digital workforce.

In this definitive guide, we'll dissect the anatomy of agents, exploring everything from classic classifications to modern LLM-based architectures that are revolutionizing the No-Code and High-Code worlds.

Diagram illustrating the perception, reasoning, and action loop of different types of AI agents in a digital environment.
Diagram illustrating the perception, reasoning, and action loop of different types of AI agents in a digital environment.

What exactly defines an AI agent?

Before we explore the types, it's crucial to draw a clear line in the sand. An artificial intelligence agent is not merely a language model or a machine learning algorithm.

The most rigorous definition, accepted both in academia and industry, as in the course Stanford CS221, describes an agent as a computational entity situated in an environment, capable of perceiving it through sensors and acting upon it through actuators to maximize its chances of success.

The Crucial Difference: AI Model vs. AI Agent

Many beginners confuse the engine with the car.

  • AI model (ex: GPT-4, Llama 3): It's the passive brain. If you don't send a prompt, it does nothing. It has knowledge, but no agency.
  • AI Agent: It's the complete system. It has the model as its core reasoning tool, but it also has memory, access to tools (databases, APIs, browsers), and, crucially, a goal.

An agent uses the model's predictions to make sequential decisions, manage states, and correct the course of its actions.

It's the difference between asking ChatGPT "how to send an email" (Template) and having a software that autonomously writes, schedules, and sends the email to your contact list (Agent).

The 5 Classic Types of AI Agents

To build robust solutions, we need to revisit the theoretical foundation established by Stuart Russell and Peter Norvig, the fathers of modern AI.

The complexity of an agent is determined by its ability to handle uncertainties and maintain internal states.

Here are the 5 types of AI agents hierarchical structures that form the basis of any intelligent automation:

1. Simple Reactive Agents

This is the most basic level of intelligence. Simple reactive agents operate on the "if-then" principle.

They only respond to the current input, completely ignoring history or past states.

  • How it works: If the sensor detects "X", the actuator does "Y".
  • Example: A smart thermostat or a basic spam filter. If the temperature exceeds 25ºC, it turns on the air conditioning.
  • Limitation: They fail in complex environments where the decision depends on a historical context.

2. Model-Based Reactive Agents

Taking it a step further, these agents maintain an internal state — a kind of short-term memory.

They don't just look at the "now," but consider how the world evolves independently of their actions.

This is vital for tasks where the environment is not fully observable. For example, in a self-driving car, the agent needs to remember that there was a pedestrian on the sidewalk 2 seconds ago, even if a truck momentarily blocked its view.

3. Goal-Based Agents

True intelligence begins here. Goal-oriented agents don't just react; they plan.

They have a clear description of a "desirable" state (the goal) and evaluate different sequences of actions to achieve it.

This introduces search and planning capabilities. If the goal is to "optimize the database," the agent can simulate various paths before executing the final command, something essential for those working with... AI for data analysis.

4. Utility-Based Agents

Often, achieving the goal is not enough; it is necessary to achieve it in the best possible way. Utility-based agents use a utility function (score) to measure preference between different states.

If a logistics agent aims to deliver a package, the utility agent will calculate not only the route that gets there, but the fastest route, using the least amount of fuel and with the greatest safety. It's about maximizing efficiency.

5. Agents with Learning

At the top of the classic hierarchy are the agents capable of evolving. They have a learning component that analyzes feedback from their past actions to improve their future performance.

They start with basic knowledge and, through exploration of the environment, adjust their own decision rules. This is the principle behind advanced recommendation systems and adaptive robotics.

Infographic comparing the complexity and autonomy of five classic AI agent types, from simple reactive to learning agents.
Infographic comparing the complexity and autonomy of five classic AI agent types, from simple reactive to learning agents.

What are generative agents based on LLMs? 

Classical taxonomy has evolved. With the arrival of the Big Language Models (LLMs), a new category has emerged that dominates current discussions: Generative Agents.

In these systems, the LLM acts as the central controller or "brain," using its vast knowledge base to reason about problems that were not explicitly programmed, as detailed in the seminal paper on... Generative Agents.

Reasoning Frameworks: ReAct and CoT

For an LLM to function as an effective agent, we utilize techniques of prompt engineering advanced principles that structure the model's thinking:

  1. Chain-of-Thought (CoT): The agent is instructed to break down complex problems into intermediate steps of logical reasoning ("Let's think step by step"). Research indicates that this technique... It stimulates complex reasoning. in large models.

  2. ReAct (Reason + Act): This is the most popular architecture currently. The agent generates a thought (Reason), executes an action on an external tool (Act), and observes the result (Observation). This loop, described in the paper... ReAct: Synergizing Reasoning and Acting, This allows it to interact with APIs, read documentation, or execute Python code in real time.

Tools like AutoGPT and BabyAGI They popularized the concept of autonomous agents that create their own task lists based on these frameworks.

You can explore the original code of AutoGPT on GitHub or from BabyAGI to understand the implementation.

Tip in Specialist: For those who wish to delve deeper into the technical design of these systems, our AI Coding Training It explores exactly how to orchestrate these frameworks to create intelligent softwares.

Architectures: Single Agent vs. Multi-Agent Systems

When developing a solution for your company, you will face a critical architectural choice: should you use a super agent that does everything or multiple specialists?

What is the difference between Single Agent and Multi-Agent Systems?

The difference lies in form of organization of intelligence.
One Single Agent It concentrates all the logic and execution into a single entity, making it simpler, faster, and easier to maintain, ideal for straightforward tasks with a well-defined scope.

Already the Multi-Agent Systems They distribute the work among specialized agents, each responsible for a specific function.

This approach increases the ability to solve complex problems, improves the quality of results, and facilitates the scalability of the solution.

When should you use a Single Agent?

A single agent is ideal for linear, narrow-scope tasks. If the goal is "summarize this PDF and send it by email," a single agent with the right tools is efficient and easy to maintain.

Latency is lower and development complexity is reduced.

The Power of Multi-Agent Orchestration

For complex problems, the industry is migrating to Multi-Agent Systems (MAS). Imagine a digital agency: you don't want the copywriter to do the design and approve the budget.

Recent technical discussions, such as this one Single vs Multi-Agent debate, They show that specialization trumps generalization.

In a multi-agent architecture, you create:

  • A "Researcher" agent that searches for data on the web.
  • An "Analyst" agent that processes the data.
  • An agent called "Writer" who creates the final report.
  • A "Critical" agent who reviews the work before delivery.

This specialization mimics human organizational structures and tends to produce higher quality results.

Modern frameworks facilitate this orchestration, such as LangGraph for complex flow control, the CrewAI for teams of role-based agents, and even lighter libraries such as Hugging Face smolagents.

Visual representation of a multi-agent system where specialized agents collaborate to solve a complex business problem.
Visual representation of a multi-agent system where specialized agents collaborate to solve a complex business problem.

Practical Applications and No-Code Tools

The theory is fascinating, but how does this translate into real value? Different types of AI agents are already operating behind the scenes of large, agile startups operations.

Coding and Development Agents

Autonomous agents such as Devin or open-source implementations such as OpenDevin They utilize planning architectures and tools to write, debug, and deploy entire codebases.

In the No-Code environment, tools such as FlutterFlow and Bubble They are integrating agents that assist in building complex interfaces and logic using only text commands.

Data Analytics Agents

Instead of relying on analysts to generate manual SQL reports, utility- and goal-oriented agents can connect to your data warehouse, formulate queries, analyze trends, and generate proactive insights.

This democratizes access to high-level data.

Solutions for Businesses

For the corporate sector, the implementation of AI-powered automation solutions It focuses on operational efficiency.

Customer service agents (Customer ExperienceAgents who not only answer questions but also access the CRM to process reimbursements or change plans are examples of goal-oriented agents that generate immediate ROI.

Companies like Zapier and the Salesforce They already offer dedicated platforms for creating these corporate assistants.

Interface of a business dashboard displaying performance metrics optimized by autonomous AI agents.
Interface of a business dashboard displaying performance metrics optimized by autonomous AI agents.

Frequently Asked Questions about AI Agents

Here are the most common questions we receive from the community, which dominate searches on Google and in forums like... Reddit:

What is the difference between a chatbot and an AI agent?

A traditional chatbot typically follows a rigid script or simply responds based on trained text.

An AI agent has autonomy: it can use tools (such as a calculator, calendar, email) to perform real-world tasks, not just converse.

What are autonomous agents?

These are systems that can operate without constant human intervention. You define a broad objective (e.g., "Discover the 5 best SEO tools and create a comparison table"), and the autonomous agent decides which websites to visit, what data to extract, and how to format the results on its own.

Do I need to know how to program to create an AI Agent?

Not necessarily. While knowledge of logic is vital, modern platforms and No-Code frameworks allow the creation of powerful agents through visual interfaces and natural language.

For advanced customizations, however, understanding the logic of AI Coding That's a huge advantage.

Futuristic concept of human-AI collaboration, where developers orchestrate multiple types of AI agents in a digital work environment.
Futuristic concept of human-AI collaboration, where developers orchestrate multiple types of AI agents in a digital work environment.

The Future is Agentic — And It Requires Architects, Not Just Users

Understanding the types of agents AI It's the first step in moving from being a consumer of technology to being a creator of solutions.

Whether it's a simple reactive agent for email triage or a complex multi-agent system for managing e-commerce operations, digital autonomy is the new frontier of productivity.

The market is no longer just looking for those who know how to use ChatGPT, but those who know... designing workflows that ChatGPT (and other models) will execute.

If you want to move beyond theory and master building these tools, the ideal next step is to learn about our... AI Agent Manager Training. The era of agents has only just begun — and you could be in charge of it.

If you are looking to create more advanced projects, with better security, greater scalability, and more professionalism using the tools of Vibe Coding, This guide is for you.

In this article, I've outlined three very important tips that will guide you from beginner to advanced and truly professional projects.

We need to go beyond a simple visual interface and build a solid architecture. Let's go!

Why combine Lovable, N8N, and Supabase?

Tip 1: Starting by focusing on the main pain point

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My first piece of advice is to start with Lovable, but focus on simpler, more direct projects, addressing the pain points you want to solve with technology.

Be a SaaS, one Micro SaaS Whether it's an app or an application, find out what the main pain point is for your end user.

It's crucial to avoid the mistake of including "a million features, a million metrics," and complex business rules right from the start. This confuses the user and will almost certainly cause the project to fail.

Focus on creating in Lovable He creates very beautiful and visually appealing apps interfaces. Solve the main pain point first, and only then can you make the project more complex.

Case

best vibe coding apps​ (2)

A very interesting example, and one of Lovable's main case studies, is... Plink.

Basically, it's a platform where women can check if their boyfriend has had any run-ins with the police or has a history of aggression.

The creator, Sabrina, became famous because she created the app without knowing any code, focused on the main pain point, and the app simply "exploded.".

In just two months, the project was already projecting $2.2 million in revenue. She validated the idea on Lovable, proving that market focus is what makes a project successful.

Another example is an AI agent management application. We always start with the interface in Lovable and only then migrate the project to [the other platform/tool]. Cursor to make it more advanced and complex.

Master Supabase, the heart of advanced projects.

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The second tip, and the most important for security and scalability, is to thoroughly learn the Supabase component. This encompasses data modeling and all back-end functions.

To create AI projects, you'll need the front-end (the user interface, like in Lovable) and the back-end (the intelligence, data, security, and scalability).

The back-end uses the N8N for automation and AI agents, but it is the Supabase which will be the heart of your project.

If you want a highly secure and scalable project, the secret is to master Supabase.

Courses for Beginners:

The great advantage is that, if the interface created by Lovable has a problem, since you already have the core of your project well structured, you can simply remove Lovable and plug the data into another interface, such as Cursor.

You don't need to be a technician, but you need to understand the... MacroHow data modeling, security (RLS), and data connection work.

Understanding these basics is crucial for you to be able to request and manage AI effectively. For this, I recommend our course. Supabase Course in the PRO subscription.

Tip 3: When to move on to Cursor/AI-powered code editors

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The third tip is about taking the next step: migrating to AI-powered code tools and editors, such as... Cursor or Cloud Code.

It's very important to start with Lovable in a simplified way, but if you want to make your project more advanced, robust, and scalable, you'll need to combine the organization of your back-end in Supabase with the greater control offered by these tools.

However, it is essential to understand that knowing well the Supabase It's a prerequisite before jumping into the... Cursor, Because you need to have the database and architecture very well organized.

For complex projects, this union is key to having complete control over the code and structure.

Get to know the AI Coding TrainingMaster prompt creation, build advanced agents, and launch complete applications in record time.

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