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How to Create Websites with NoCode and AI by R$10k

sites with No Code 00

Estimated reading time: 9 minutes

Imagine being able to create complete websites in less than a day and sell them for prices ranging from R$5,000 to R$10,000. This reality is possible thanks to NoCode, an innovative approach that allows you to build robust and professional websites without having to write a single line of code. What used to require months of development can now be accomplished in a matter of days, or even hours, with the help of NoCode tools and artificial intelligence (AI).

In this guide, I'll share a detailed step-by-step guide to help you master the best NoCode tools, from designing to delivering websites that have the potential to generate significant revenue.

1. The Power of NoCode: Simplicity and Efficiency

In the past, creating a professional website was a complex and time-consuming task. It required mastery of several programming languages, such as HTML, CSS, and JavaScript, as well as an understanding of advanced design and usability concepts.

This process made website development not only slow and expensive, but also accessible only to highly qualified professionals. With the emergence of tools NoCode, this reality has changed drastically.

Today, you can create professional websites without the need for in-depth programming knowledge. Tools like Webflow, Framer and Relume allow you to build visually stunning and functionally robust websites.

No-Code websites

2. The Process of Creating Websites with NoCode

Let's take a step-by-step look at how you can create a website using NoCode tools. The process is divided into four main stages: planning and research, structuring (UX), high-fidelity design (UI), and development and delivery.

Planning and Research

The first step in creating a website is planning. Here, you must define the purpose of the website and identify good market references. Tools like Dribbble and Behance are excellent sources of inspiration, where you can find innovative and efficient designs to serve as a basis for your project.

During this phase, it is important to conduct detailed research into the industry in which the website will be located, identifying the needs and expectations of the target audience. This will allow you to create a website that not only meets but exceeds customer expectations, offering an optimized user experience (UX) from the start.

NoCode Website Structuring: UX and Wireframes

After planning, it's time to structure the website. At this stage, you define the sitemap and create wireframes, which are low-fidelity sketches that outline the organization of the elements on each page.

Tools like Figma and Miro are ideal for this step. They allow you to draw wireframes collaboratively and iteratively, ensuring that all stakeholders can visualize and validate the layout before moving on to detailed design.

Structuring is a fundamental step, as it defines the user experience (UX). It is important to think about navigation, content layout and clarity of information.

High Fidelity Design: UI

With the structure defined, it’s time to move on to high-fidelity design. This is where the website comes to life, with the application of colors, typography, images, and other visual elements that make up the user interface (UI).

Figma remains the tool of choice here as it allows you to create sophisticated and detailed designs, as well as making it easy to transfer those designs to NoCode development tools.

This is when you ensure that your website not only functions well, but is also visually appealing and aligned with your brand identity.

websites with No-Code design

Development and Delivery: NoCode Websites in Action

Finally, we come to the development stage, where the website becomes functional. Tools like Webflow and Framer are perfect for this task, allowing you to turn your design into a fully functional website without writing any code.

One of the biggest advantages of NoCode is the speed with which you can launch a website. With the best tools, you can go from design to development in just a few hours, publish your site, and even set up a custom domain.

3. Essential Tools for NoCode Websites

Now that you know the process, let's explore some of the top NoCode tools you can use at each stage of creating a website.

Planning and Research: Dribbble and Behance

These platforms are packed with design inspiration. They allow you to see what’s trending in the market, explore different visual styles, and find ideas that can be adapted to your project.

Additionally, Dribbble and Behance provide an overview of design innovations, allowing you to stay up to date with the latest trends and apply these innovations to your projects.

Structuring: Figma and Miro

Figma is one of the most popular wireframing and prototyping tools. It allows you to collaboratively create low- and high-fidelity layouts, making it easy to get feedback and make revisions.

Miro is another great option, especially for brainstorming and mapping ideas in teams. Using these tools is crucial to ensuring that all aspects of the design are well planned before starting the development phase.

Figma websites with No-Code

High Fidelity Design: Figma

Figma also shines in the detailed design stage. With it, you can create stunning interfaces, apply design systems, and ensure that all visual elements are perfectly aligned with your brand identity.

Additionally, Figma makes it easy to export your design to the development stages, making the process more fluid and integrated. One of its biggest benefits is the ability to share designs in real time.

Development and Delivery: Webflow and Framer

Webflow and Framer are two of the most powerful no-code tools available today. Both allow you to create complete websites, including animations, interactions, and even e-commerce, without writing a single line of code.

Webflow is known for its flexibility and ability to create highly customized websites, while Framer stands out for its ease of use and integration with Figma, making the design and development process even more agile.

These tools are essential for turning your designs into functional and attractive final products. They also offer support for SEO and other advanced features.

4. Bonus Tips to Speed Up Your NoCode Website Creation Process

Finally, here are some bonus tips that can further speed up your NoCode website creation process:

Use Ready-Made Templates

Using templates not only speeds up the design process, but also ensures that you’re using tried-and-true layouts. In Framer, for example, you’ll find a vast library of professional templates that you can quickly tweak and customize.

No-Code websites

Harness the Power of AI

Many NoCode platforms are integrating artificial intelligence capabilities to help with website creation. For example, best AI tools can generate layouts, suggest design elements and even optimize the site structure.

Incorporate AI into your workflow to increase efficiency, reduce development time, and ensure your sites are optimized for performance and usability.

Conclusion

Entering the world of NoCode is an incredible opportunity for anyone who wants to build and sell websites quickly and efficiently. With the right tools and strategies, you can turn an idea into a complete website in a matter of hours.

So whether you’re a freelancer, an entrepreneur, or someone looking for a new career, NoCode gives you the tools you need to succeed.

So now that you know the process, how about starting to apply these concepts to your next project? With a little practice, you’ll be creating and selling high-value websites before you know it. And remember, the only limit is your creativity, so be sure to check out our NoCodeIA Training!

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Matheus Castelo

Known as “Castelo”, he discovered the power of No-Code when he created his first startup entirely without programming – and that changed everything. Inspired by this experience, he combined his passion for teaching with the No-Code universe, helping thousands of people create their own technologies. Recognized for his engaging teaching style, he was awarded Educator of the Year by the FlutterFlow tool and became an official Ambassador for the platform. Today, his focus is on creating applications, SaaS and AI agents using the best No-Code tools, empowering people to innovate without technical barriers.

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The market is changing – fast. Artificial intelligence is no longer a trend, it has become a necessity. Companies are cutting costs, optimizing operations and looking for specialists to implement AI in their daily lives. And this is exactly where the AI profession comes in. AI Manager Course.

NoCode AI Manager Course: What it is, Who it is for and What its Objectives are

THE AI Agent Manager Training It is aimed at anyone who wants to enter the field of artificial intelligence in a practical way, without needing to know how to program.

The main objective is to train professionals capable of delivering automation and real solutions for companies using NoCode tools.

It is ideal for both those who want to offer services and those who want to open their own AI agency.

The training proposal is clear: enable you to bill more than R$14,000 per month working with intelligent solutions — a market that is only growing.

Access the training here

What is Included in the AI Agent Manager Course?

The training is structured in complete knowledge trails, with content organized by theme and level of mastery:

Topics covered:

  • Fundamentals from Zero to Advanced
  • Mastering Automations with AI
  • Creating and Selling AI Agents to Companies
  • Applied Prompt Engineering
  • Using NoCode tools like n8n, Dify, Make, OpenAI and more
  • Integration with WhatsApp, CRMs and payment gateways
  • Ready-to-clone and apply templates

When you sign up, you get:

  • 8 complete formations, including SaaS AI and technical courses from NoCodeStartUp;
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Differences between AI Manager Training and Other Courses

Unlike many generic courses, this training was designed as a complete ecosystem of learning and practical application, with total focus on generating results for the student.

  • 100% classes structured, edited and with step-by-step teaching methods
  • Mentors present, community engaged
  • Trail with beginning, middle and end, organized with teaching methodology
  • Real opportunities and networking with companies and devs
  • Masterclasses with experts who already apply AI in agencies and companies

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  • Full access for 12 months
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FAQ: Main Questions About the AI Manager Course

Do you need prior knowledge?
No. All content is designed for absolute beginners in AI and NoCode.

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You will have 1 year of access complete to the platform and updates.

Can I ask for a refund if I don't like it?
Yes. You have 7 days warranty to test and cancel without bureaucracy.

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Yes. NoCodeStartUp PRO subscribers have unlimited access to the training.

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The only initial cost for teaching purposes is US$ 5 to use OpenAI API.

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In the first few days, you can create and test your first AI agent.

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Immediate access to all tracks, bonuses, community, templates, Masterclass and tools.

How to Become an AI Manager?

To become an AI manager, the ideal is to start with training that combines practice and theory in an accessible way.

The NoCodeStartUp course focuses exactly on that, teaching how to create automations with AI without requiring prior programming knowledge.

You'll learn everything from the fundamentals to delivering real solutions using platforms like n8n, Make, Dify, Zapier, and OpenAI.

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According to the market itself and reports from students, an AI manager can earn above R$10 thousand per month, working with consultancies, creating personalized agents or recurring services via intelligent automation.

Which Course Should I Take to Work with AI?

If you are looking for a practical, up-to-date course, with a strong connection to the market and no programming requirements, AI Agent Manager Training is one of the most complete currently.

It combines technical content with real-world application so you can start working quickly.

Invest in Yourself: Become a Professional AI Manager

If you are looking for a way to stand out in the digital market, enter the technology area without having to program and act with something that is growing rapidly, this course is a smart shortcut.

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Artificial intelligence (AI) is reshaping the way the financial sector operates, from risk analysis to the automation of complex processes. More than a trend, AI has become a strategic tool for financial institutions that want to increase their efficiency, reduce costs and offer personalized experiences. Within this scenario, the use of AI agents for finance has been gaining ground as a practical and accessible application for companies of all sizes.

Financial dashboard with automated charts and visuals representing artificial intelligence

AI Software Development in the Financial Sector

Creating AI-based solutions in the financial context requires robustness, security, and adaptability. Developing this type of software requires an architecture that is prepared to handle large volumes of data, continuous learning, and the ability to provide accurate insights.

In addition, systems need to be able to handle sensitive data, integrate with multiple sources (such as banks, brokerages, and ERPs), and adapt quickly to regulatory changes in the industry. Flexibility and modularity are core elements of any AI architecture for finance.

Integration with Existing Infrastructures

Much of AI’s success in the financial sector depends on its integration with legacy systems. This includes internet banking platforms, CRMs, payment gateways, and compliance tools. Using NoCode platforms such as make up or N8N allows you to create effective connections without the complexity of traditional development.

By the way, if you want to experience in practice how to integrate financial flows with AI, No-Code Start-Up provides a free N8N course with full video on YouTube. It's a great opportunity to explore real automations and understand how to structure secure and intelligent integrations in an accessible way.

With this approach, banks and fintechs can activate intelligent flows based on real data, such as automatic sending of alerts, personalized segmentations and recommendations based on consumer behavior.

Challenges in AI Development for the Financial Sector

Despite the enormous potential, there are challenges that need to be considered. Among the most relevant are:

  • Data quality: models are only effective if fed by clean and organized data.
  • Explainability: It is essential to understand how the AI arrived at a particular recommendation.
  • Cultural resistance: Traditional teams may resist adopting automation and algorithm-based decisions.

As highlighted by Deloitte, the combination of data governance, team training and ethical monitoring of AI is essential to mitigate risks and generate consistent results.

Security and Regulatory Compliance

The financial sector is one of the most regulated in the world. Therefore, all AI applications must comply with standards such as LGPD, GDPR and Central Bank regulations.

The adoption of good practices Data Privacy by Design, end-to-end encryption and role-based access control are just some of the basic requirements. Platforms such as Xano offer robust infrastructure with a focus on security for those who want to develop financial backends with AI.

Digital security illustration with padlock and financial data, symbolizing protection and compliance in AI application

Software Scalability and Resilience

As AI becomes a critical part of operations, it is necessary to ensure that systems are scalable and resilient. This means being able to grow as demand dictates, without compromising performance or security. Cloud computing and the adoption of microservices are essential strategies in this journey.

Companies like Goldman Sachs and Bank of Brazil have already demonstrated, in different contexts, how AI models can be deployed gradually, safely testing hypotheses before scaling to the entire operation.

AI Agents for Finance: Use Cases and Applications in the Financial Sector

1. Automated credit analysis

Companies like Credits use AI to evaluate hundreds of variables — including banking history, spending habits, and public data — to offer personalized credit. This reduces default rates and expands access to credit in a fairer way. According to McKinsey, automation can reduce analysis time by up to 70%.

2. Fraud prevention

O Bradesco and other institutions have implemented machine learning models that detect fraud based on behavioral patterns. When a transaction deviates from the pattern, the system triggers an automatic block or sends an additional verification to the user. According to Visa, the use of artificial intelligence helps prevent fraud totaling approximately US$14T25 billion.

3. Automated investment management

Robo-advisors like the ones from XP Investments use algorithms that analyze investor profiles, financial goals and market conditions to assemble and rebalance portfolios autonomously. CB Insights highlights that these systems are democratizing access to quality financial services, previously restricted to large investors.

4. AI-powered customer service

O Itau has incorporated AI into its digital channels, allowing customers to renegotiate debts, request second copies of bills or consult invoices using natural language. This reduces response time, improves customer experience and frees up human teams for more complex cases. According to Accenture, up to 80% of first-level banking interactions can now be automated using artificial intelligence.

5. Cash flow forecast

Financial management startups use AI agents for finance that integrate data on accounts payable and receivable, seasonality and market trends to predict cash flow for the coming months with high accuracy. Based on this information, more assertive decisions can be made. Harvard Business Review reinforces that this approach reduces the margin of error in financial projections and improves strategic planning.

The Role of AI Agents for Finance

Among all the applications, the AI agents for finance stand out for their versatility and accessibility. They function as intelligent “copilots”, performing tasks such as:

  • Automatic generation of financial reports
  • Sending alerts about targets or deviations
  • Predictive profitability analysis

Using platforms such as Dify and OpenAI, it is possible to configure these agents with natural language, making them easier to use even for those without technical training. This expands access to data intelligence in the financial sector.

The Future of AI in the Financial Sector

Artificial intelligence in the financial sector is no longer a distant promise — it is present in strategic decisions, customer service, and risk management. The adoption of technologies like AI agents for finance represents a leap forward in digital maturity. As technical challenges are overcome and platforms become more accessible, companies of all sizes will be able to use AI not only to automate, but to evolve.

Organizations that master the use of AI ethically, safely, and strategically will be ahead in delivering value and conquering the market. The future of finance is predictive, integrated, and data-driven — and it starts now. Want to learn how to build your own AI-powered financial agents without coding? Access the AI Agent Manager Training and discover the most practical way to apply all this in your context.

How AI is changing the market can be observed in practically all sectors of the economy, and this change is intensifying every day. Artificial intelligence (AI) is being recognized as a disruptive force that is profoundly reshaping the global market. From simple tasks to complex decisions, it has been integrated into processes in various sectors, transforming the way people work, consume and manage businesses.

Furthermore, when observing the effects of this transformation, it becomes clear how much the job market is being reconfigured: new opportunities arise, some professions lose ground and others adapt or are reborn with the support of technology, which demonstrates how AI is changing the market in a broad and profound way.

How AI is changing the job market

AI is accelerating the automation of repetitive and operational tasks. AI systems are already being used to efficiently perform:

  • Customer service with chatbots.
  • Predictive data analysis for sales and marketing.
  • Automated financial and audit processes.
  • Inventory control and logistics.

These changes not only reduce operational costs, they also require the workforce to be retrained for new roles, which reinforces how AI is changing the job market with great intensity.

Representation of people and artificial intelligence collaborating in different professions

Professions affected by artificial intelligence

According to PwC's report on the future of work (source), it is estimated that up to 30% of human tasks could be automated by the mid-2030s. This data shows, in practice, how AI is changing the job market and skills requirements.

Some of the roles most impacted by AI include:

  • Telemarketing operators
  • Administrative assistants
  • Data Analysts (some tasks being replaced by generative AI)

On the other hand, new functions emerge, such as:

  • Prompt Engineers
  • Automation experts with NoCode
  • Conversational Experience Designers
  • Intelligent Agent Managers

Those AI agents, for example, have been increasingly used in companies seeking to automate decisions and perform tasks with minimal human intervention. According to an analysis of the The Verge, large companies such as OpenAI, Google and DeepMind are investing heavily in the development of these systems, which can already act independently in complex corporate processes. They are designed to operate autonomously, learn continuously and integrate with other technologies — which makes them key players in the ongoing digital transformation.

What's Happening Now: How AI is Changing the Marketplace in Numbers

The AI market is experiencing exponential growth. The sector is estimated to surpass US$ 500 billion in value by 2027. There is a global race for innovation, with startups, large companies and governments investing heavily in:

  • Generative models (like ChatGPT)
  • Robotic Process Automation (RPA)
  • Artificial intelligence applied to health, education, law and agribusiness

This movement demonstrates how AI is being positioned as a strategic asset for growth and competitiveness.

Suggested reading:

AI Agent and Automation Manager Training

What are the negative aspects of AI in the job market?

Despite promising advances, important challenges also arise:

  • Structural unemployment: functions terminated without sufficient time for requalification
  • Digital inequality: not everyone has access to technological education
  • Technological dependence: companies become hostages of platforms and algorithms
  • Ethical and privacy issues: inappropriate use of data and biased automated decisions

These factors require public policies, business leaders and civil society to debate limits, transparency and responsibilities in the use of technology.

People using AI tools in a modern workplace

Opportunities and the future of work with AI

The key is in the conscious adaptation. The future of work will be driven by:

  • Continuous learning and professional requalification
  • Mastery of AI tools and NoCode platforms
  • Creating new business models based on data and automation
  • Development and management of autonomous AI agents

Increasingly, professionals and companies will need to adopt a stance proactive and experimental, turning AI into an ally.

Recommended courses:

AI and entrepreneurship: new market frontiers

Artificial intelligence is not only transforming the traditional job market, it is also paving the way for new business models. Digital entrepreneurs are using AI to create scalable products such as intelligent assistants, recommendation systems, and data-driven SaaS platforms. No-code tools combined with AI agents are enabling the emergence of lean, highly automated, and highly personalized startups.

A great example is the AI-based micro-SaaS, which solve very specific problems and can be created by a single person. Platforms like Bubble, FlutterFlow and Make, integrated with OpenAI models, make this scenario not only possible, but accessible.

For those who wish to explore this new territory, we recommend SaaS IA NoCode Training, designed to transform ideas into digital products using the power of artificial intelligence.

How AI is changing the market and shaping the future

Artificial intelligence is changing the market in an irreversible way. It is not only a technological revolution, but also a social, professional and economic transformation. The question is no longer “if” AI will impact your work, but “how will you position yourself in this new era”.

The good news is that there have never been so many accessible tools for those who want to learn AI in practice.

See all No Code Start Up training and courses

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