AI AGENT MANAGER MASTERCLASS: THE URGENT PROFESSION

Free registration - 05/06 - 7pm

02 Days
16 Hours
33 Minutes
28 Seconds

What is No Code – All About No Code Development

what is in the code

Estimated reading time: 15 minutes

Years ago, the only option Jeff Bezos and Mark Zuckerberg had to create Amazon and Facebook was to spend hours in their garage writing lines and lines of code.

Thankfully, technology evolves...

Today we have more practical, faster and cheaper options to build platforms similar to Amazon, Facebook and practically any other type of app or software that you imagine.

Remember that day you had a brilliant idea and said: wow, if someone made an app about it, they would be rich

Or that day when something bothered you and you thought: if someone created a solution to this problem, it would make a lot of money

Maybe if you had access to this content earlier, that person could be you.

Thanks to the technologies called no-code, you could have taken your idea off the ground and developed it without writing a single line of code.

Knowing what is in code will make you look at the world of programming with different eyes. 

If you like technology and development, but don't have an affinity for programming, understanding what no-code is will be the answer you've been looking for.

In this article you will understand a little more about it. 

After all, what is no-code?

The term no-code means “without code”, being a movement in the technology area that brings the possibility of developing solutions in mobile or web format without needing a single line of code. 

When we speak no-code we refer to:

“Practice of developing applications, softwares or systems through visual interfaces.”

That is, no-code developers, instead of developing by writing lines of code themselves, use tools that allow visual development and develop based on logic that is much more understandable and similar to human language:

This is very much in line with the words of the CEO and founder of Bubble, one of the biggest no-code platforms today:

Why in today's world are people expected to learn and speak the language of computers?

Instead, shouldn't computers learn to speak our language?

Emmanuel Straschnov – Founder and CEO of Bubble

I don't know about you, but to me this makes a lot of sense.

And how to do it? 

This is done through no-code tools like the bubble io it's the FlutterFlow, where you create an application through visual development, just dragging blocks and defining the necessary logic. 

Such tools facilitate the development process, breaking barriers for those who wanted to work with the creation of applications, but who do not know how to code. 

This brings endless possibilities, as it allows anyone to develop their own application, taking their idea off the ground without having to resort to a program. 

This greatly reduces development costs, as development time is shorter and also qualified IT professionals are often a very expensive workforce.

The no code movement

What is no-code

Now that you know what is no-code, let's understand a little more about this movement. 

It might seem like it's big news, but it's actually something that's been going on since the late 90's. 

However, as you can imagine, at that time there was only a sketch of what it would be like today, with very limited platforms – but, for the time, it was a great advance. 

In 2018 there was a great expansion of the area and the tools used, causing the technological scenario to suffer a great revolution! 

That year there was a publication of extreme relevance for the medium, showing that several startups were investing in this development model – which is one of the reasons for their more agile solutions. 

The no-code is a simple, intuitive, efficient and agile solution that promotes a series of benefits for all companies (and even for people's daily lives). 

Why does the no-code matter today more than ever?

If you've been following the tech market a bit in recent years, you've probably heard about the difficulty companies have in hiring and retaining developers.

This is because, the exponential growth of companies using and creating their own applications and softwares lately, has greatly increased the demand for these professionals.

And since it takes time to make good developers, perfect chaos was created.

A high demand that doesn't stop growing (and won't stop growing for a long time), with a low supply that we have difficulty increasing due to the time it takes to train programmers.

According to the US Labor Statistics the lack of developers amounted to 40 million workers in 2019. By 2030, the expectation is that this number will reach 85 million.

Generating a global loss of U$D8.4 trillion.

And companies have already felt the consequences of this strongly:

  • Salaries and benefits to be able to hire and retain such professionals have never been higher;
  • Application development costs keep growing;
  • Difficulty for small and medium-sized companies to enter this game;

There are thousands of companies with this pain, a world of opportunities.

And this is where no-code shines…

The brilliance of no-code

no-code platforms greatly reduce the learning curve for developing an application or software.

For you to master a programming language, it takes years of practice and study, as it is no-code, in a few months you already have a good command of the tool and can already be developing end-to-end applications.

This greatly increases our power to be able to serve these thousands of companies.

In addition, because it is much more intuitive, the speed with which we can create applications is much greater, reducing the time and cost of the process as a whole.

This has drawn a lot of attention from entrepreneurs and companies, and as these companies have realized this, many have opted and preferred the no-code development.

According to projections of GLOBE NEWSWIRE the lowcode and no-code market should grow from a measured size of U$D 10 Bi in 2019 and reach U$187 Bi by 2030.

At this point, I imagine that the opportunity is already very clear to you, but it may be that you are still wondering how you can actually benefit from this revolution.

How to benefit from no-code

Firstly, it is interesting to mention that the technology market has attracted the interest of many people in recent years.

This is mainly because this is a segment that offers many perks for professionals.

Salaries are high and with many benefits and the home office is already a standard practice in the market.

In addition to the fact that it is a market that does not stop growing and is practically anti-crisis, rain or shine it is a market that has demand.

That is, if companies are doing well and growing, they invest in technology and innovation to grow even more and differentiate themselves from competitors.

If they are in crisis, they invest in technology and innovation to cut costs and differentiate themselves from competitors.

And this sum of factors has attracted many people to this market.

However, this is also a segment that requires greater training of professionals and therefore many people have had difficulties in making this change.

Whether you are a person who had already thought about migrating to the tech market at some point, or if after this content you became interested in the segment, or even if you are already in this market, the no-code opens up a great opportunity.

What to say that no-code is easy?

Quick answer: No.

You will still need to master many other aspects of application development and fundamental technical understanding.

But no-code tools have a much lower learning curve

And with this new skill, the ways to make money are diverse.

You can work within a company, creating and improving your no-code applications. For example: transforming outdated excell spreadsheets into robust apps, with complete dashboards.

Powerful skill to secure a pay raise or promotions.

You can act providing services to other companies as a freelancer or creating your own agency.

Because apps are high value-added products, you can charge R$1000, R$2000, R$5000, R$10000, R$50000 and even much more for a project.

And because with this skill you can also get your app or business idea off the ground.

Create your own startup, your own SaaS (subscription app).

Anyway, the opportunities are countless.

What can we create with no-code

As I already mentioned here, with the level where the tools are today, you really can create practically anything with no-code.

You can create:

The opportunities are really endless, ecommerces, marketplaces, ERPs, SaaS, scheduling systems, delivery systems, social networks.

Copy Uber, Airbnb, Facebook, Instagram.

Use artificial interligence, Web3 apps, Token Gated apps

and the list goes on.

Today in tools that allow API integrations, the range of possibilities is really endless.

But that's what we couldn't create with no-code.

And then the answer is really, it depends..

Everything I mentioned above can be created with no-code, but it depends on the tools you are using.

Therefore, one of the first steps is to understand your project's requirements and select a tool that fits it.

There's no need to select an extremely complex tool if your goal is to create a super simple app.

The same is true if the objective is to create a complex marketplace with several users, you need to use a tool that allows this.

Tip of 5 main no-code tools

Some examples of the best no-code tools currently are:

  1. Bubble – for creating web applications
  2. AppGyver – for creating free and offline mobile apps
  3. FlutterFlow – for creating complete mobile apps
  4. Webflow – for creating websites with a high degree of design
  5. Xano – for robust backends

For more detail on the no-code tools, we have prepared a specific article on the subject here on our blog.

Also check out our free courses:
Free Bubble course for beginners
Free FlutterFlow course for beginners
Free AppGyver Course for Beginners

See the no-code in action

Do you want to better understand what this codeless development is? Let's go to a practical example so that you can abstract better. 

A seller always has a series of slips to generate after purchases. Are many emails, which generates hours of work! After passing through sales, it is still forwarded to the financial sector, generating more work for both sides. 

Automating this process would be a dream!

Meanwhile, the company's IT team has many other demands and solving this workflow is really not their priority. How to resolve this situation?

Even if the sales and finance teams are not familiar with codes and development, with the tools in code they would be able to develop a solution to improve this workflow, building automation and tools to facilitate these processes.

No-code turns non-technical citizens into technology creators!

No-code x low-code

What is no-code Bubble

When looking for information about what is no-code, you will probably come across the term low-code. But what would that be?

Well, according to the translation itself we can already have an idea about it. No code refers to the use of no code, while low code requires a little code. 

Why invest in no-code?

Everyone who wonders about codeless development also wonders how they can take advantage of this revolution, and the possibilities are many.

No code in the corporate world 

This is closely related to the example we cited earlier. You are no longer at the mercy of IT staff or even third-party professionals to develop good in-house solutions.

Also, you don't need to be a programming master to do this. If you manage to solve an old problem with this type of solution, you can be sure that you will be very well noticed by all collaborators. 

This, by the way, is a great differential of a good employee. Knowing how to identify a problem, design a flow to solve it and translate all of this with the no code tools is, for sure, something very positive.

For your own investment

Another possibility is to use the no code tools to create applications for third parties or even to sell them on the internet.

From the moment you create a more generalist solution, then you can offer it to several companies or other customers. That is, you are monetizing the apps.

It's a great way to earn extra income or even make it your only source of income. 

Companies that want to stand out in the market do not hesitate to acquire solutions that will improve and optimize their respective processes. 

Many of these companies still don't know what the codeless movement is, so you'll be one step ahead. 

no-code Market Predictions

First a few more facts:

  • The no-code market has grown a lot and fast
  • Companies have recently received large contributions from investors.
    • Which only reinforces the predictions presented at the beginning of the video.
  • Market that is just beginning and is not yet widely known by the population and companies.

This leaves an even bigger window of opportunity for those just entering the no-code market.

Those who arrive first drink clean water.

Forecasts:

  • I dare say that within a few years, 99% of MVPs will be built with no-code.
  • I also believe that soon no-code will be the main way to create internal applications, dominating this market in the small and medium enterprise segments.
  • We will see more and more no-code being used in all types of companies for prototyping, by agile squads.
  • no-code software houses started to steal market from the traditional software houses and will have a good share of the segment, mainly in the Founders market, small and medium companies.

And yet, about some interesting branches that I have my eye on and I see a bright future ahead is the combination of:

  • No code + artificial intelligence
  • Nocode + Web3

Conclusion

No code tools have a very solid place in the market and the trend is for their use to grow more and more.

Knowing the possibilities of this codeless programming will open many doors for you, regardless of where you want to apply this knowledge. 

Now that you know what this movement is, how about exploring a little more of its tools and opportunities?

Think of your company's biggest workflow problem and try to solve it with this solution!

What is no-code?

The term no-code means “without code”, being a movement in the technology area that brings the possibility of developing solutions in mobile or web format without needing a single line of code. 

What is low-code?

According to the translation itself, low-code refers to the little use of code needed to create applications.

Why invest in no-code?

No code is still a new market with a high growth projection due to the immense range of problems it solves, thus being a great market to invest in.

org

Watch our Free MasterClass

Learn how to make money in the AI and NoCode market, creating AI Agents, AI Software and Applications, and AI Automations.

Neto Camarano

Neto specialized in Bubble due to the need to create technologies quickly and cheaply for his startup. Since then, he has been creating systems and automations with AI. At the Bubble Developer Summit 2023, he was listed as one of the greatest Bubble mentors in the world. In December, he was named the largest member of the global NoCode community at the NoCode Awards 2023 and first place in the best application competition organized by Bubble itself. Today, Neto focuses on creating AI Agent solutions and automations using N8N and Open AI.

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:

Artificial intelligence (AI) is no longer a distant promise. It is already transforming the way solo lawyers and small law firms operate. With affordable tools, it is possible to automate repetitive tasks and focus on what really matters: winning more clients and delivering high-quality service. AI agent for lawyer is the key to this revolution, offering practical solutions to everyday challenges. Each AI agent for lawyers acts as a virtual legal assistant, ready to optimize your routine.

What is an AI Agent and How Can It Help Independent Lawyers?

One AI agent for lawyer is an automated system that performs specific tasks on its own, based on predefined commands and machine learning. For lawyers, this means:

  • Reduction of time spent on manual and bureaucratic tasks.
  • 24/7 support with virtual assistants who answer common questions.
  • Greater productivity, with a focus on strategic activities.
  • Possibility of customizing legal flows according to the area of activity.

These agents can be integrated with various systems and platforms, enabling everything from the automatic drafting of contracts to the management of deadlines and hearings. In addition, they allow for the analysis of documents with greater speed and precision, reducing errors and rework. The great advantage is that, with no-code tools such as Agents with OpenAI Course and Free Dify Course, any lawyer can create their own AI agents without having to program.

Lawyer using AI agent to automate legal tasks in the office

Real Examples of Legal Automation with AI Agents for Lawyers

1. Automatic Generation of Petitions and Contracts

With tools like make up integrated into the Google Docs, it is possible to automate the creation of petitions. Imagine filling out a form and having the document ready in minutes.

2. Personalized Legal AI Agents

Much more than a simple chatbot, a AI agent for lawyer is able to continually learn from interactions, refining its responses and becoming more effective over time. Using ChatGPT integrated into the Dify, you can create an agent who not only answers common questions about labor rights or procedural deadlines, but also identifies service patterns and suggests improvements in responses. This agent can be trained with data from your own office, offering a highly personalized and efficient service, constantly evolving according to your client's needs.

3. Review and Analysis of Legal Documents

AI tools allow you to perform automatic readings, generate summaries and highlight important points in contracts and processes.

Legal document automation with AI agent assisting lawyers

AI Solutions for Lawyers: What You Need to Know

  • Dify: Creates tailor-made legal assistants.
  • make up: Automates service flows and document generation.
  • Agents with OpenAI: Develop custom agents for specific tasks.
  • N8N Course: Powerful tool for creating complex legal automation flows.

Relevant Tools in the Lawyer AI Agent Market

Document Review and Analysis

  • Kira Systems – extracts and analyzes complex contracts.
  • Luminance – automated review with AI, used in due diligence.
  • LegalSifter – reviews contracts and suggests improvements based on AI.

Automated Legal Research

  • JusIA – legal questions, analyze references and create document
  • LegalAI – write objections, initial petition with AI.
  • CaseText – AI-powered legal research (English).
  • LexisNexis – global AI-powered legal research platform.
  • Westlaw – advanced legal research, powered by AI.

Legal Document Automation

  • LawGeex – automatically reviews contracts, with AI.
  • DocuSign CLM – complete automation of contracts.

Legal Chatbots and Customer Service

  • DoNotPay – chatbot that solves simple legal questions (English).
  • IBM Watson Legal – AI solutions and chatbots for the legal sector.

Office and Process Management

  • ProJuris – Brazilian legal software with AI and automation.
  • Advbox – automation of flows and digital legal management.

Predictive Analysis and Jurimetrics

Law Firm Integrated AI Agent Workflow

Building an AI Legal Agent Using N8N and Dify

To create a more robust lawyer AI agent, you can integrate the N8N, Dify and ChatGPT. Check out this guide:

  1. Map Your Office's Needs: Define what functions the bot needs to have: answer questions, send documents, schedule appointments.
  2. Create FAQs and Flows: List frequently asked questions and response paths. In Agents with OpenAI Course you learn how to model these flows.
  3. Configure Dify: In the dashboard, create your bot based on the questions and answers, adjusting the behavior.
  4. Use N8N for Integration: Connect Dify to other platforms like WhatsApp, Google Calendar or Docs. In N8N Course you learn how to create these integrations.
  5. Automate Repetitive Tasks: Use N8N to trigger automatic responses, save data, and send alerts.
  6. Test and Improve: Put the bot into action, collect customer feedback, and optimize the system.

With this integration, your legal chatbot will not only answer questions, but also perform automatic tasks, increasing your level of service and productivity.

Will AI Replace Lawyers? No, But It Will Replace Those Who Don’t Use AI

Artificial intelligence is here to be an ally, not a replacement. Today, thousands of lawyers are already using AI agents to optimize their day-to-day activities. Each AI agent for lawyers is designed to assist in specific legal tasks, without replacing human critical reasoning and strategy. For example, law firms are automating the generation of standard contracts, reducing document production time by up to 70%. Lawyers are also using AI agents for lawyers to review large volumes of documents in due diligence processes, finding critical information in minutes. In addition, legal chatbots, such as AI agents for lawyers, allow you to serve customers 24/7, answering simple questions and directing them to specialized assistance when necessary.

Learn How to Create Your Own AI Agents and Multiply Your Results

Want to master these tools and transform your office?

Access:

Get started today and take your law practice to the next level.

Further Reading:

Do you still waste hours reading long articles, emails or documents? Artificial Intelligence (AI) can do it for you in seconds. AI tools AI to summarize texts are revolutionizing the way we study, work and produce content. With the advancement of technology, it has become possible to delegate the reading and synthesis of large volumes of information to intelligent systems, allowing you to focus on what really matters: making decisions based on accurate and relevant information.

In this article, you will discover how to summarize texts with AI, what are the best tools, practical examples and how to automate this task with no-code platforms, even if you don't have advanced technical knowledge.

Introduction to using AI to summarize texts

Recommended Reading

What is an AI for Text Summarization?

Imagine having to read a document that is dozens of pages long and needing to capture the essentials in just a few minutes. This is exactly where summary AIs come in. They are like those attentive coworkers who know exactly what to filter out in a sea of information. With each paragraph you read, these digital assistants separate the essential from the accessory, creating a summary that makes sense to you. And the best part is that they do this with the naturalness of someone who understands our way of thinking, highlighting precisely what is worth reading. This makes our routine easier, more productive and organized.

The use of AI allows for greater efficiency when dealing with long texts, providing a more dynamic and optimized reading experience. And the best part is that you can shape these tools to your liking: it’s as if you were teaching the AI to speak your language and that of your audience. Do you want a more direct summary for executives? Or something more detailed for students? With small adjustments to the settings, it’s as if you were giving personalized instructions to an assistant that understands exactly what you want.

What Types of Text Can AI Summarize Well?

  • Articles and blog posts
  • Corporate reports and emails
  • Meeting or video transcripts
  • PDFs and academic documents

These are just a few examples. AI can also work with texts in different languages, respecting cultural and linguistic contexts. This makes it a valuable tool in international corporate environments and academic institutions.

Top AI Tools for Text Summarization


ChatGPT

ChatGPT can be used with custom prompts or plugins to generate summaries with different styles and levels of detail. For example, you can configure a prompt to summarize academic articles into bullet points, adapt corporate reports to more objective language, or even generate executive summaries from meeting minutes. Additionally, with memory functionality or API integration, ChatGPT can be incorporated into automated workflows where it learns from feedback and adjustments, making each summary more aligned to your needs.

QuillBot

QuillBot offers a dedicated tool for summarizing sentences or paragraphs, ideal for academic texts and articles. It also allows you to adjust the level of detail in your summary, which is great for those who need a quick overview or a more in-depth summary. QuillBot also includes additional features such as paraphrasing and a grammar checker, which makes it an even more complete tool for those who work with large volumes of text.

SMMRY

SMMRY is a simple, online solution that focuses on condensing texts into a few user-adjustable sentences. What sets this tool apart is its minimalist approach, ideal for those who need a quick, straight-to-the-point summary. You can control the number of sentences you want in the final result and adapt the tool to remove specific sentences, such as those containing certain keywords or quotes.

Resoomer

Resoomer is designed for argumentative and academic texts, with support for multiple languages. The tool is especially useful for those who need to analyze long texts with a clear logical structure, such as essays, dissertations, and legal articles. Resoomer allows you to quickly identify the main arguments, central ideas, and conclusions, making dense texts easier to understand. In addition, it offers browser integration to summarize web content in real time, which is a benefit for researchers and students.

Scholarcy

Scholarcy makes it easy to summarize scientific articles and also generates keywords and study sheets. This tool is especially effective for those who work with academic publications, as it not only condenses the content but also highlights important sections such as objectives, methodology, results and conclusions. Scholarcy also allows the extraction of tables, figures and references, organizing this information in a quick-read format. Integration with reference managers such as EndNote and Zotero is a plus for researchers.

Zamzar Summarizer

Zamzar Summarizer allows you to convert and summarize files such as PDF and DOCX in a simple and straightforward way. The great advantage of Zamzar is its ability to handle a wide variety of file formats, offering not only text summarization but also conversion between formats such as TXT, HTML, and EPUB. This makes it ideal for professionals who deal with documents on different platforms and need to integrate them into a single digital workflow. In addition, the tool can be used without the need for installation, directly from the browser, which further speeds up the process.

Notion AI

Notion AI is ideal for Notion users, making it easy to summarize documents and take notes within the app itself. In addition to summarizing text, Notion AI also allows you to rewrite paragraphs, generate headings, and create lists from text content. Integrated directly with your pages and databases, Notion AI streamlines the workflow for teams using the platform to manage projects, documentation, and ideas.

Automating summaries with AI and no-code platforms

Automating Summaries with AI and No-Code

Use AI to summarize texts goes far beyond manual tools. By combining no-code platforms like Make with robust AI, you can completely automate the process. Imagine you receive an email with a long document, and the system automatically summarizes the content and saves it to your cloud. This is productivity with AI applied intelligently.

Practical Example

“How I Built an Automatic Email Summarizer with Make + OpenAI”

In this example, you will learn step by step how to set up this automation. First, we define a trigger in Make to detect new emails with attachments. Then, we connect the flow to the OpenAI API, which processes the text and generates a summary. Finally, the summary is sent to your email or saved in a Google Doc. This solution is ideal for those who receive a lot of reports or proposals and need to evaluate them quickly.

Another interesting approach is to create a custom agent using the N8N it's the ChatGPT. With N8N, you can create more complex and adaptable workflows. For example, you can set up a workflow where the system automatically processes, via API, the documents you send to a Google Drive folder, summarizes them and classifies them by topic in spreadsheets. The agent learns from the edits the user makes, identifies text types and adjusts the summary style according to the topic, becoming more efficient with each interaction.

For those who want to create robust automations with N8N, check out our N8N Course.

Practical tips for improving results with AI

Practical Tips to Improve Your Results with AI

If you are just starting to use AI to summarize texts, some good practices can make all the difference:

  • Adjust the prompts: If the AI doesn’t deliver exactly what you want, refine your instruction.
  • Test different tools: Not all AIs respond the same way. Explore and see which one works best for you.
  • Automate when possible: Use no-code tools to create flows that save you time.
  • Review summaries: Even with AI, reviewing ensures that the content is aligned with your needs.

Let's clear up your doubts?

If you still have questions about how to apply AI to summarize texts, here are some answers that may help:

What are the best AI options? to create summaries? Many users use tools like ChatGPT, QuillBot and SMMRY for their practicality and the efficient results they offer. Depending on the volume and type of text, you may want to opt for a more automated solution, such as integration with Make.

Can I automatically summarize long texts? Yes! Using AI to summarize text in conjunction with automation platforms, you can set up systems that process long documents automatically.

How to ensure that the summary is unique? Personalize prompts and always review content. While AI rewrites, human adjustments add value and avoid originality issues.
With AI, you can transform the way you deal with information on a daily basis. From automating email summaries to creating complete workflows, the possibilities are endless. Integrating these tools into your daily routine is the first step to saving time, increasing productivity, and standing out professionally.

Want to master AI automation? Get started with our Makeup Course it's the Agents Course with OpenAI.

Artificial intelligence (AI) is causing profound transformations in several sectors, and education is one of the fields most impacted. From personalized classrooms to automated assessment systems, the use of AI artificial intelligence in education has been gaining increasing prominence. As a result, the impact of AI in schools is reshaping the way teachers teach and students learn, promoting a true digital transformation in education.

In this article, you will understand how AI is being applied in education, what the main tools are, the benefits (and challenges) of this revolution and how to prepare for this new scenario.

Recommended readings for further study:

Application of artificial intelligence in the classroom

What is Artificial Intelligence and how does it connect to education?

Artificial Intelligence is a field of computing that seeks to develop machines capable of learning, reasoning and making decisions. In the educational context, it is applied to personalize learning, automate administrative processes and offer more dynamic and inclusive teaching experiences.

The applications of artificial intelligence in education They range from smart tutors to platforms that automatically correct tests or create lesson plans based on each student's needs.

Practical applications of AI in the classroom

Artificial intelligence is no longer a distant promise and has become an integral part of contemporary educational reality. Instead of waiting for an uncertain future, teachers and students are already using AI-based technologies in a wide range of school activities. This transformation is happening quietly but with great impact — and best of all, with accessible tools that do not require advanced technical knowledge.

Next, we will explore how this presence of AI is realized in everyday education. More than presenting platform names, the goal is to reveal practical possibilities, demonstrate how each resource can be inserted into pedagogical dynamics and, most importantly, encourage educators to begin their journey with AI — even if it is with small steps. After all, each tool presented here can be the starting point for a profound transformation in the way we teach and learn.

1. Adaptive learning platforms

Solutions like Khan Academy with AI from OpenAI offer personalized learning paths based on student performance, adjusting content in real time.

2. Auto-correction and smart feedback

Platforms like Gradescope and Socrative use AI to correct objective tests and offer detailed performance analysis, saving educators time.

Additionally, you can create automated correction flows using Make integrated with Google Docs or Notion, allowing you to deliver activities with personalized feedback.

3. Virtual Assistants and AI Tutors

Tools like ChatGPT, Google Bard and Khanmigo are used by students to clarify doubts and reinforce content based on natural language.

Educators can also use Dify to create custom educational interfaces and subject- or skill-specific tutor bots.

4. Content creation with AI

Educators can use AI to generate quizzes, presentations, and even lesson plans with tools like AI-powered Canva, Notion AI, and ChatGPT, accelerating the preparation of teaching materials.

If you want to go a step further, you can use the Agents Course with OpenAI to create interactive educational experiences with full personalization of content and the student journey.

Further reading: The best Artificial Intelligence tools

Practical examples of the use of AI in education

Benefits of AI in Education

In addition to its growing presence, artificial intelligence in education offers significant advantages, such as:

  • Personalizing learning: each student learns at their own pace and style. As a result, it is possible to better meet individual needs.
  • Automation of repetitive tasks: more time for the teacher to focus on mediation and relationships. In addition, it reduces the wear and tear on operational processes.
  • Inclusion: Students with special needs benefit from features like auto-reading, captions, and real-time translation. On the other hand, it’s important to make sure these tools are accessible to everyone.
  • Engagement: More interactive and adaptive content increases student interest. This makes learning more engaging and effective.

Challenges and precautions in the use of AI

Despite the benefits, the use of AI in education also requires attention to points such as:

  • Student Data Privacy
  • Over-reliance on technology
  • Inequality of access to digital tools
  • Digital literacy for teachers

Therefore, it is essential that educators prepare themselves not only to use these tools, but also to deal with the impacts they can generate in the school environment.

How Educators Can Start Using AI

To start using the artificial intelligence in education, even without technical knowledge, teachers can explore AI in their daily lives with simple tools. Here are some initial ideas:

  • Try ChatGPT to generate questions, summaries or lesson plans.
  • Use Canva to create visuals with automatic suggestions.
  • Explore platforms like Khan Academy with AI to enrich teaching.

In addition to these options, it is possible to implement more robust solutions with no-code tools:

Furthermore, a practical way to advance is to train yourself with specific training. If you are an educator and want to master these technologies, also see the AI Agent and Automation Manager Training, where we teach how to use AI in practice, with a focus on productivity and automation in teaching.

Future of education with AI teacher interacting with dashboard

The Future of Education with AI

THE artificial intelligence in education It will not replace teachers, but it will be a powerful ally. The combination of the educator’s human perspective and the analytical capacity of AI can take teaching to a new level of personalization, scale and impact.

This movement represents a true digital transformation in schools, where technologies such as educational chatbots with AI, personalized tutors and pedagogical automation become part of everyday school life.

As more institutions adopt these tools, the difference will lie in how to use them ethically, creatively and strategically. To achieve this, ongoing training of education professionals will be essential.

Further reading:

Want to transform your educational practice with AI? Get started now with practical training, even if you've never programmed before: Discover our AI and NoCode course

NEWSLETTER

Receive exclusive content and news for free

premium WordPress plugins
en_USEN