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What is Artificial Intelligence?

February 19, 2024
7 min

Artificial intelligence is a branch of computer science that creates systems capable of simulating human abilities, such as learning, deciding, recognizing patterns and interacting with natural language.

It is already present in our daily lives, even when we don’t realize it. For example, Instagram uses algorithms based on this technology. Netflix uses AI to recommend movies and series that match your taste.

These are just a few examples of how AI is changing the way we think and relate to the world.

But how does it work, what is it capable of doing, what are the most used types, what are the most popular solutions in the world and how AI integrates with no-code programming?

If you want to know more about the subject and understand how AI can be an ally for your success as a application developer, continue reading this content!

What is Artificial Intelligence?

artificial intelligence course

According to industry leaders, the artificial general intelligence (AGI) is capable of equaling or surpassing human cognition in several tasks, and could become a reality in less than a decade.

Google DeepMind CEO Demis Hassabis has said that human-like AGI systems could emerge between 2025 and 2030, highlighting both their transformative potential and the existential risks involved.

Similarly, OpenAI CEO Sam Altman has stated that the company is focusing its efforts on developing “superintelligence,” a form of AI that significantly surpasses human intelligence.

Yes, thanks to this technological evolution. Although it mainly involves computer science, AI is a multidisciplinary area which encompasses studies of:

Mathematics;
Statistic;
Engineering;
Psychology;
Philosophy.

It all started when mathematicians and philosophers wondered about the possibility of creating machines that could think and act like human beings.

In 1950, Alan Turing published an article in which he proposed the concept of a universal machine capable of performing any calculation described by an algorithm.

In fact, he was responsible for developing the Turing Test, which consists of checking whether a machine can impersonate a human in a conversation.

Today, the method is still used as a criterion to evaluate the capacity of some autonomous systems such as chatbots.

Since then, AI has been evolving and diversifying into different concepts and techniques that allow systems to perform increasingly complex and varied tasks.

How does artificial intelligence actually work?

What is artificial intelligence summary

THE Artificial Intelligence works through algorithms, which are sets of rules and instructions that define how a system should perform a certain task.

But what does this look like in practice? To explain, let's use the example of social media.

You’ve probably heard of social media algorithms. They’re an automated data collection system that uses AI.

By combining this process with data analysis, it is possible to establish the order in which posts appear in the feed of user.

AI algorithms can be based on:

Logic;
Search;
Optimization;
Apprenticeship;
Reasoning;
Planning;
Knowledge representation.

What is Artificial Intelligence capable of doing?

This technology is capable of performing activities that were previously restricted to humans or that required a lot of time, cost and effort. Among them:

Voice recognition;
Computer vision;
Data analysis;
Entertainment;
Preparation of a complete plan;
I work with robotics;
Work in the health sector;
Working with arts, communication and creativity;
Process automation;
Scientific research;
Creation of innovative processes.

Types of Artificial Intelligence

There are different ways to classify the types of Artificial Intelligence, according to the level of complexity, scope and autonomy. One of the most common ways considers the following criteria:

Weak or limited

The weak or limited version of AI is the one thatable to perform just one specific task, within a restricted domain, following pre-defined rules.

In practice, it does not understand what it is doing, nor can it do other things than what was programmed. Most of the AIs we use today are of this type, such as:

Voice recognition systems that transform what we say into text or commands, such as Siri, Alexa and Google Assistant;
Computer vision systems that recognize objects, faces and scenes in images and videos, such as Face ID, Google Photos and TikTok;
Data analysis systems that extract information and patterns from large data sets, such as Excel, Power BI, and Tableau.

General

On the other hand, the general form of this technology is one that is capable of performing any task that a human can do, in any domain, with autonomy, flexibility and adaptability.

This type of AI understands what it is doing and can even learn and create new solutions.

This is because it has awareness, understanding, generalization and creativity.

However, she doesn't exist yet. Despite this, it is the goal of many researchers and projects, such as OpenAI, DeepMind and SingularityNET.

Super

Super Artificial Intelligence is quite controversial and, perhaps, you have already seen some urgent warnings about it.

This type of AI can surpass humans in everything, in any area, with speed, precision and efficiency. She has awareness, understanding, generalization, creativity and self-improvement.

It's that AI from science fiction movies that we fear so much in childhood and adolescence. It doesn't exist yet, but it is the fear of many experts and philosophers, such as Stephen Hawking, Elon Musk and Nick Bostrom.

Machine Learning

It is an Artificial Intelligence technique that allows systems to learn from data, without the need for explicit programming. It can be divided into three main categories:

Supervised Learning: when systems learn from labeled data, that is, data that already has the right answer. Example: a system that learns to recognize cats and dogs in photos from a set of images of these animals;
Unsupervised Learning: when systems learn from unlabeled data, that is, data that does not have a right answer. Example: a system that learns to group customers into profiles from a data set that has no information about them;
Reinforcement Learning: when systems learn from their own experience, that is, from interaction with the environment. Example: a system that learns to play chess from a set of rules and win or lose feedback.

Natural Language Processing

Finally, we come to natural language processing, a technique that allows systems understand, generate and manipulate texts and speak in human language.

It is used in several applications, such as:

Recommender systems, which are systems that can suggest products, services or content, based on user preferences and behavior, such as Netflix, Spotify and Amazon;
Chat systems, which are systems that can chat with the user or with other systems, using text or voice, such as WhatsApp, Telegram and Discord.
Education systems, which are systems that can teach or learn from the user, using text or voice, such as Duolingo, Khan Academy and Coursera.

What are the 10 most used AIs in the world?

As you can see, Artificial Intelligence is increasingly present in our daily lives.
day. There are several solutions that stand out for their popularity, functionality and innovation.

A study by WriterBuddy, an AI-assisted writing platform, ranked the ten most used solutions in the world, according to estimated traffic in 2023. Check it out:

ChatGPT (14.6 billion hits)
Character.ai (3.8 billion)
QuillBot (1.1 billion)
MidJourney (500.4 million)
HuggingFace (316.6 million)
bard (242.6 million)
NovelAI (238.7 million)
CapCut (203.8 million)
JanitorAI (192.4 million)
CivitAI (177.2 million)

AI integration with no-code programming

AI Integration with nocode

The no-code programming is a way to develop softwares without the need to know how to program. In it, we only use visual tools, such as blocks, and drag and drop commands.

no-code allows people without technical knowledge to create applications, websites, systems and solutions, in a quick, easy and cheap.

This integration with codeless programming offers advanced functionalities and resource savings. In addition, it directly contributes to the continuous improvement of systems.

The main advantages of this combination are:

Automated design generation

Automated design generation is a technology that creates graphical interfaces and layouts, colors, fonts and other resources automatically, based on pre-established data. It is used by tools such as webflow and Wix.

More agility equals more productivity

With the agility that Artificial Intelligence brings, it is possible to reduce the production time and cost of no-code systems.

AI contributes to agility by allowing the system to learn from data, improve with feedback, update with trends, and customize with preferences.

Greater efficiency

Efficiency is a fundamental factor for the success of any project, as it guarantees the customer and user satisfaction, trust and loyalty.

Artificial Intelligence increases efficiency by helping the system optimize processes, correct problems, prevent risks and improve results.

Rapid prototyping

Anyone who already works with the development of softwares knows that creating prototypes is an essential and common step.

It also facilitates rapid prototyping as it is capable of generate the code, design, interface and functionality automatically.

Automated documentation

Furthermore, with AI it is possible to have all documentation automated through a system that processes, analyzes and synthesizes texts, in any language.

This can be done using natural language processing techniques, semantic analysis, machine translation and text generation.

Competitive advantage

Have you ever stopped to think that Artificial Intelligence could be the little push you needed to differentiate yourself in the market?

With it it is possible create new and better solutions, which are more intelligent, personalized, interactive and creative.

Economy

Automated solutions like AI contribute to cost reduction with infrastructure, maintenance and operation, as it reduces failures and speeds up processes.

Constant improvements

AI contributes to the continuous improvement, as it incorporates new functionalities, resources and benefits that increase the quality, efficiency and innovation of the product.

How can she do this? Through data systems, feedback and market trends.

Become a no-code developer right now!

Now that you know all the details about this technology and how it can help in no-code development work, it is even easier to imagine a career in this area.

Want to know where to start? Learn how to develop apps with free Bubble course from No-Code Start-Up and start your developer journey today.

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

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Matheus Castelo

AI for Educators: Tools and Agents That Are Redefining the Classroom

The digital revolution has arrived in full force in the classroom — and now, artificial intelligence (AI) is at the center of this movement. With the growing demand for effective solutions, AI for educators has become one of the most promising areas of educational innovation.

Educators who master these tools not only save time, but can also offer more personalized and effective learning experiences. But after all, what is the best AI for teachers? How can it be applied in everyday school life without complications? And most importantly: how does it directly benefit students?

In this article, you’ll discover the key AI technologies, tools, and agents that are transforming the education landscape — plus practical recommendations you can apply right now.

What is AI in education and why should you, as an educator, understand it?

Artificial intelligence in education refers to the use of algorithms and intelligent agents to facilitate, personalize, or automate teaching and learning tasks. This includes everything from creating lesson plans to monitoring student performance in real time.

AI tools enable:

Reduce time spent on administrative tasks;
Customize activities according to each student’s profile;
Create assessments and interactive content automatically;
Optimize pedagogical planning and classroom management.

Meet the: Agents with OpenAI Course by No Code Start Up

How does AI help teachers in practice?

How AI helps teachers in practice

AI helps educators on multiple fronts:

Lesson planning: Tools like Canva Magic Write and Curipod are transforming the way educators prepare their lessons. Instead of starting from scratch, simply input a topic or objective and these tools generate a complete teaching structure — with an introduction, development, interactive exercises and conclusion.

This allows for more efficient preparation, saving hours of work. In addition, these resources ensure alignment with curricular guidelines, such as the BNCC, and offer visual and methodological suggestions adapted to the class profile.

Personalization is one of the biggest benefits: the teacher can easily adjust the suggestions to the reality of the classroom and the students' learning level.
Content creation: Generative agents such as ChatGPT, Claude and Eduaide.Ai allow teachers to develop a wide range of pedagogical content quickly and efficiently.

With just a few commands, you can generate explanatory texts on any subject, create thematic summaries, build interactive quizzes with automatic feedback and even script visual presentations for use in the classroom or in remote teaching.

Assessment automation: Correcting and preparing assessments has always required time and attention from teachers — but with the use of AI-based tools, this process becomes much more agile and reliable.

Platforms like Gradescope allow you to upload scanned tests and apply previously defined correction criteria, generating instant results with a high degree of accuracy.

Tools such as ChatGPT can help create essay questions, multiple choice questions or even gamified assessments, based on curricular themes provided by the teacher.
Personalized mentoring: Artificial intelligence enables a much more individualized approach to teaching. By analyzing data on student performance, participation, and behavior, AI tools can identify patterns and learning gaps that would otherwise go unnoticed.

Based on these insights, teachers can provide personalized feedback, propose specific activities for reinforcement, and even adapt the pace and teaching approach according to the needs of each student.

This strengthens the pedagogical bond, increases student engagement and significantly improves academic results — making the learning experience more fair, human and effective.

Types of Artificial Intelligence used in Education

Types of Artificial Intelligence used in Education

Generative AI

Tools like ChatGPT, Claude, and Dify are capable of generating textual and multimodal content (such as images and videos) on demand. They can be used to plan lessons, create teaching materials, or provide alternative explanations for tutoring.

Analytical AI

Solutions like Google Classroom with AI, MagicSchool.ai and ClassDojo monitor student interactions and performance to adapt pedagogical strategies in a personalized way.

Autonomous Educational Agents

Educators can create agents with n8n or Dify to automate tasks like reporting, performance alerts, activity delivery, and more.

AI Agents: The Future of Personalized Education

You Autonomous Agents with AI represent the next level of pedagogical innovation. They are capable of operating continuously and adaptively based on predefined commands and contextual logic.

Usage examples:

Tutor agent to answer students' questions via WhatsApp or Plurall;
Evaluation agent to generate reports per student based on performance on educational platforms;
Content agent who generates new material every week based on the school's curriculum.

Find out more at No Code Start Up AI Agent Manager Training

AI Tools Every Educator Needs to Know

Curipod

O Curipod is a platform that allows you to create interactive classes in just a few minutes with AI support. Teachers can enter a topic and automatically receive a class structure with texts, quizzes, polls, images and other activities. It is ideal for those looking for dynamism and more engaging interactions in the classroom.

Curipod

Canva Magic Write

Integrated with Canva, Magic Write is an AI-powered content generator that helps educators create slides, presentations, summaries, and visual materials in record time. Simply input an idea or topic, and the tool suggests cohesive texts that are visually ready for educational use.

Canva Magic Write

AudioPen

AudioPen automatically converts speech into text, making it ideal for educators who prefer to dictate ideas rather than type. It can be used to create lesson plans, video scripts, educational blog content, and more. It's simple, practical, and fast.

AudioPen

Eduaide.Ai

This tool offers over 100 resources for creating high-quality educational content. From complete lesson plans, study suggestions, personalized feedback to active methodologies — all generated with AI and available in multiple languages. Learn more about Eduardo.AI

Eduaide.Ai

MagicSchool.ai

Platform aimed exclusively at educators, the MagicSchool.ai centralizes the generation of lesson plans, performance reports, quizzes and various content. A true all-in-one dashboard for those who want to increase productivity in pedagogical management.

MagicSchool.ai

Copilot for Education (Microsoft)

O Copilot integrates with Microsoft 365, allowing teachers to automate content creation and administrative tasks. From responding to emails to creating presentations with AI, it is a powerful ally to optimize time in and out of the classroom.

Copilot for Education (Microsoft)

Dify + OpenAI

Ideal for those who want to customize their own educational agents. With Dify, you connect models of the OpenAI into practical workflows — like an agent to review essays, another to grade tests, or even a bot to support students’ parents.

Dify + OpenAI

Read also: FlutterFlow Course for Educational Apps

Automation of pedagogical tasks: more time to teach

Tasks such as providing feedback, organizing data, sending notifications, and even correcting tests can be automated. This allows teachers to focus on human interactions, creativity, and close monitoring of students.

Solutions like Make Course (Integromat) and Xano Course can be integrated with teaching platforms to facilitate these processes.

AI FAQs for Educators

What is the best AI for teachers?

There is no single answer, as it depends on the objective. For content creation, ChatGPT and Eduaide.Ai stand out. For lesson planning, Curipod offers a ready-made structure.

For assessment, Gradescope and MagicSchool.ai are good choices. The ideal is to combine tools according to the pedagogical need.

What are the types of AI used in education?

The main types are:

Generative AI (such as ChatGPT and Dify), used to create texts, activities and even videos;
Analytical AI, which interprets student performance and behavior data;
Autonomous agents, who perform educational tasks without constant supervision, such as correcting tests or sending feedback.

What is the best AI website for teachers?

Platforms such as MagicSchool.ai, Eduaide.Ai and Canva Magic Write offer robust solutions for teachers. In the Brazilian ecosystem, No Code Start Up stands out with practical training focused on AI applied to education.

How can AI help teachers?

It helps by automating repetitive tasks, creating personalized content, offering real-time data analysis, and enabling more efficient classroom management. This frees up time and significantly improves the quality of teaching.

AI for Educators is a One-Way Road – And You Need to Be Prepared

AI in education is more than a trend — it’s a transformative reality. Educators who learn to integrate these technologies into their daily lives save time, increase the impact of their work, and improve the quality of teaching.

June 20, 2025
7 min

Neto Camarano

LlamaIndex: What It Is, How It Works, and How to Use It with LLMs Like ChatGPT

LlamaIndex is an open-source framework designed to connect large language models (LLMs) to private, up-to-date data that is not directly available in the models' training data.

The definition of LlamaIndex revolves around its function as middleware between the language model and structured and unstructured data sources. You can access the official documentation to get a detailed view of its technical features.

LlamaIndex and what it is for

LlamaIndex what is it for?

Integration with LLMs

LlamaIndex is a tool developed to facilitate integration between large language models (LLMs) and external data sources that are not directly accessible to the model during response generation.

This integration occurs through the paradigm known as RAG (Retrieval-Augmented Generation), which combines data retrieval techniques with natural language generation.

Practical applications

The simple explanation of LlamaIndex lies in its usefulness: it transforms documents, databases and various sources into structured knowledge, ready to be consulted by an AI.

By doing so, it solves one of the biggest limitations of LLMs – the inability to access updated or private information without reconfiguration.

Using LlamaIndex with AI expands the application cases of the technology, from legal assistants to customer service bots and internal search engines.

Limitations resolved

LlamaIndex solves a fundamental limitation of LLMs: the difficulty of accessing real-time, up-to-date or private data.

Functioning as an external memory layer, it connects language models to sources such as documents, spreadsheets, SQL databases, and APIs, without the need to adjust model weights.

Its broad compatibility with formats such as PDF, CSV, SQL, and JSON makes it applicable to a variety of industries and use cases.

This integration is based on the RAG (Retrieval-Augmented Generation) paradigm, which combines information retrieval with natural language generation, allowing the model to consult relevant data at the time of inference.

As a framework, LlamaIndex structures, indexes, and makes this data available so that models like ChatGPT can access it dynamically.

This enables both technical and non-technical teams to develop AI solutions with greater agility, lower costs, and without the complexity of training models from scratch.

How to use LlamaIndex with LLM models like ChatGPT?

Also check out the N8N Training to automate flows with no-code tools in AI projects.

Usage steps

Agent and Automation Manager Training with AI It is recommended for those who want to learn how to apply these concepts in a practical way, especially in the development of autonomous agents based on generative AI.

Integrating LlamaIndex with LLMs like ChatGPT involves three main steps: data ingestion, indexing, and querying. The process starts with collecting and transforming the data into a format that is compatible with the model.

This data is then indexed into vector structures that facilitate semantic retrieval, allowing LLM to query it during text generation. Finally, the application sends questions to the model, which responds based on the retrieved data.

To connect LlamaIndex to ChatGPT, the typical approach involves using the Python libraries available in the official repository. Ingestion can be done using readers such as SimpleDirectoryReader (for PDF) or CSVReader, and indexing can be done using VectorStoreIndex.

Practical Example: Creating an AI Agent with Local Documents

Let’s walk through a practical example of how to use LlamaIndex to build an AI agent that answers questions based on a set of local PDF documents. This example illustrates the ingestion, indexing, and querying steps in more depth.

1 – Environment Preparation: Make sure you have Python installed and the necessary libraries. You can install them via pip: bash pip install llama-index pypdf

2 – Data Ingestion: Imagine you have a folder called my_documents containing several PDF files. LlamaIndex's SimpleDirectoryReader makes it easy to read these documents.

Data Ingestion

In this step, SimpleDirectoryReader reads all supported files (such as PDF, TXT, CSV) from the specified folder and converts them into Document objects that LlamaIndex can process.

3 – Data Indexing: After ingestion, documents need to be indexed. Indexing involves converting the text of documents into numerical representations (embeddings) that capture semantic meaning.

These embeddings are then stored in a VectorStoreIndex. python # Creates a vector index from # documents By default, it uses OpenAI embeddings and a simple in-memory VectorStore index = VectorStoreIndex.from_documents(docs) VectorStoreIndex is the core data structure that allows LlamaIndex to perform efficient semantic similarity searches.

When a query is made, LlamaIndex searches for the most relevant excerpts in the indexed documents, rather than performing a simple keyword search.

4 – Query and Response Generation: With the index created, you can now ask queries. as_query_engine() creates a query engine that interacts with the LLM (like ChatGPT) and the index to provide answers informed by your data.

Query and Response Generation

When query_engine.query() is called, LlamaIndex does the following:

Converts your question into an embedding.
Use this embedding to find the most relevant excerpts in indexed documents (Retrieval).
Send these relevant excerpts, along with your question, to LLM (Generation).
LLM then generates a response based on the context provided by your documents.

This flow demonstrates how LlamaIndex acts as a bridge, allowing LLM to answer questions about your private data, overcoming the limitations of the model’s pre-trained knowledge.

LlamaIndex Detailed Use Cases

Detailed Use Cases

LlamaIndex, by connecting LLMs to private, real-time data, opens up a wide range of practical applications. Let’s explore two detailed scenarios to illustrate its potential:

Smart Legal Assistant:

Scenario: A law firm has thousands of legal documents, such as contracts, case law, opinions, and statutes. Lawyers spend hours researching specific information in these documents to prepare cases or provide advice.
Solution with LlamaIndex: LlamaIndex can be used to index the entire document database of the firm. An LLM, such as ChatGPT, integrated with LlamaIndex, can act as a legal assistant.

Lawyers can ask natural language questions like “What are the legal precedents for land dispute cases in protected areas?” or “Summarize the termination clauses of contract X.”

LlamaIndex would retrieve the most relevant excerpts from the indexed documents, and LLM would generate a concise and accurate response, citing sources.
Benefits: Drastic reduction in research time, increased accuracy of information, standardization of responses and freeing up lawyers for tasks of greater strategic value.

Customer Support Chatbot for E-commerce:

Scenario: An online store receives a large volume of repetitive questions from customers about order status, return policies, product specifications, and promotions. Human support is overwhelmed, and response times are high.
Solution with LlamaIndex: LlamaIndex can index your store's FAQ, product manuals, return policies, (anonymized) order history, and even inventory data.

A chatbot powered by a LLM and LlamaIndex can instantly answer questions like “What is the status of my order #12345?”, “Can I return a product after 30 days?” or “What are the specifications of smartphone X?”.

Benefits: 24/7 support, reduced support team workload, improved customer satisfaction with fast and accurate responses, and scalability of support without proportional cost increases.

What are the advantages of LlamaIndex over other RAG tools?

What are the advantages of LlamaIndex over other RAG tools?

One of the main advantages of LlamaIndex is its relatively easy learning curve. Compared to solutions like LangChain and Haystack, it offers greater simplicity in implementing RAG pipelines while maintaining flexibility for advanced customizations.

Its modular architecture makes it easy to replace components, such as vector storage systems or data connectors, as project needs dictate.

LlamaIndex also stands out for its support for multiple data formats and clear documentation. The active community and constant update schedule make the framework one of the best RAG tools for developers and startups.

In comparison between RAG tools, the LlamaIndex vs Lang Chain highlights significant differences: while LangChain is ideal for complex flows and orchestrated applications with multiple steps, LlamaIndex favors simplicity and a focus on data as the main source of contextualization.

For an in-depth comparison, see this white paper from Towards Data Science, which explores the ideal usage scenarios for each tool. Another relevant source is the article RAG with LlamaIndex from the official LlamaHub blog, which discusses performance benchmarks.

We also recommend the post Benchmarking RAG pipelines, which presents comparative tests with objective metrics between different frameworks.

Get started with LlamaIndex in practice

Get started with LlamaIndex in practice

Now that you understand the definition of LlamaIndex and the benefits of integrating it with LLM models like ChatGPT, you can start developing custom AI solutions based on real data.

Using LlamaIndex with AI not only increases the accuracy of responses, it also unlocks new possibilities for automation, personalization, and business intelligence.

NoCode StartUp offers several learning paths for professionals interested in applying these technologies in the real world. From Agent Training with OpenAI until the SaaS IA NoCode Training, the courses cover everything from basic concepts to advanced architectures using indexed data.

June 17, 2025
7 min

Matheus Castelo

AI for Writers: The 10 Best Tools of 2025

The writing revolution has begun, and it’s powered by artificial intelligence. If you’re a writer, copywriter, journalist, screenwriter, or aspiring author, you’ve probably asked yourself: What is the best AI for writing texts, books or improving my writing?

In this comprehensive guide, we'll dive into the 10 Best AI Tools for Writers, exploring how each one can transform your creative process, improve your texts and help with productivity.

Whether you're a beginner or a seasoned author, these platforms offer solutions for different stages of writing: from inspiration to final editing.

Extra tip: If you also want to build your own custom AI writing assistant, check out No Code StartUp AI Agent and Automation Manager Training.

Jasper

Jasper

O Jasper is an advanced artificial intelligence platform focused on content creation and management at scale.

Much more than a text generator, it combines writing, SEO, team collaboration and brand identity features, making it ideal for writers, copywriters and marketing teams looking for quality productivity.

The tool offers features such as Jasper Chat (for interacting with AI via prompts), SEO Mode (for real-time content optimization), creation of multiple brand voices, and integration with custom workflows.

With a focus on usability and performance, Jasper also stands out for its intuitive interface and for supporting multiple formats: from blogs and emails to scripts and optimized landing pages.

Currently, it is one of the most complete solutions for those who want to use AI to write with consistency, strategy and creativity.

Who is it for: ideal for writers who also work with content marketing or want to automate part of the text creation.

Features:

Ready-made templates for different text formats
Writing command by prompt
Creating a custom brand voice

Plans: from US$49/month.

Sudowrite

Sudowrite

O Sudowrite is an artificial intelligence tool designed exclusively to assist fiction writers throughout the creative process.

Presented as a true literary co-pilot, it uses generative AI to offer creative insights, unlock writer's block and expand the narrative naturally.

In addition to the traditional suggestions for continuing paragraphs, Sudowrite stands out for its “Wormhole” mode, which suggests several possible alternatives for the next part of the text, and the “Describe” feature, which enhances passages with more sensory descriptions.

Another advanced feature is “Brainstorming,” where the author can explore plot possibilities, conflicts, and characters with suggestions generated by AI. Sudowrite aims to expand the writer’s imagination and accelerate the creative flow without replacing their authorial voice.

Who is it for: book writers, screenwriters and fiction authors.

Features:

Generating rich, sensory descriptions
Suggestions for continuation of stories
“Show, don't tell” mode

Plans: starts at US$10/month.

Writesonic

Writesonic

O Writesonic is an AI-powered writing platform that stands out for its versatility and focus on productivity. Ideal for both writers and marketers, it offers a full range of tools for creating optimized texts, scripts, long-form articles, product descriptions, emails, and sales pages.

The system features a Google Docs-style editor with real-time AI suggestions, as well as support for multiple languages. One of its main features is “Article Writer 5.0,” which allows you to generate SEO-optimized articles based on specific keywords, title, and desired tone.

The platform also has features such as AI-powered image generation, its own chatbot (Chatsonic), and tools for creating high-performance ads. It is a complete solution for those who want to write faster, with better quality and focused on results.

Who is it for: freelance writers and digital content creators.

Features:

Blog and Long Article Assistant
SEO-focused writing
Automatically generate titles, introductions and paragraphs

Plans: free with limitations, paid from US$16/month.

Grammarly

Grammarly

More than just a spell checker, Grammarly is an AI-powered writing assistant that works on multiple layers of text.

It analyzes and suggests improvements in grammar, spelling, punctuation, style, clarity, and even tone of communication. The tool also has features such as a plagiarism checker, sentence rephrasing suggestions, and contextual insights, helping writers adjust their message to the target audience.

Furthermore, the Grammarly It offers a native editor, browser extensions, integration with Word, Google Docs and mobile applications, making it an indispensable resource for those seeking consistency and textual excellence on any platform.

Its AI-based system learns over time and personalizes recommendations based on the user's writing style.

Who is it for: writers who want to raise the level of text revision.

Features:

Spelling and grammar correction
Suggestions for tone and conciseness
Plagiarism Detector

Plans: free, with Premium option starting at US$$12/month.

Rytr

Rytr

Rytr is an artificial intelligence platform focused on fast and accessible writing, aimed especially at those looking for agility and simplicity in text production.

With support for 30+ languages and 40+ use case types (such as product descriptions, emails, social media posts, articles, and scripts), Rytr It is widely used by beginner writers, freelancers, and small businesses.

Its intuitive interface allows you to generate content based on simple commands, in addition to having additional tools such as a plagiarism checker, automatic summary and text reformulation.

The system also offers adjustable creativity levels, document history, and integration with third-party applications via API. It is an excellent choice for those who need to generate content efficiently without sacrificing quality.

Who is it for: beginning writers and those looking for a more economical option.

Features:

More than 30 text types
Rapid generation of ideas and paragraphs
Support for over 30 languages

Plans: free with limits, paid from US$9/month.

Smodin

Smodin

Smodin is a multifunctional artificial intelligence platform focused on writing, academic research and content generation in several languages, with an emphasis on Portuguese.

Its proposal is to make writing more accessible and efficient, offering tools ranging from automatic writing and paraphrasing to a plagiarism checker, multilingual translator and bibliographic citation generator in formats such as APA and MLA.

Furthermore, the Smodin It has features such as text summarization, answering questions based on reliable sources and generating structured academic content.

It is widely used by students, researchers, teachers and writers who need technical and linguistic support in their texts, whether academic, professional or creative.

Who is it for: students, academic authors and writers who produce in Portuguese.

Features:

Automatic writing and paraphrasing
Translator and citation generator
Plagiarism detector

Plans: starts at R$49/month.

QuillBot

QuillBot

QuillBot is one of the most recognized tools for rewriting and text enhancement with artificial intelligence. Its main feature is the advanced paraphraser, which allows you to reformulate sentences while maintaining the original meaning with variations in tone, flow and vocabulary.

Additionally, the platform offers a complete suite of useful tools for writers, such as a text summarizer, grammar checker, citation generator, spell checker, and translator.

O QuillBot It also offers different writing modes (such as formal, simple and creative), allowing you to adapt the text to the desired style with a simple click.

Its interface is intuitive, and there is integration with Google Docs, Microsoft Word and browser extensions, making it an essential ally for reviews, studies, content creation and editorial productivity.

Who is it for: writers who rewrite and edit large volumes of text.

Features:

Paraphrasing with tone control
Grammatical correction
Extension for Chrome and Word

Plans: Free and Premium from US$9.95/month.

Anyword

Anyword

Anyword is an AI-powered content generation tool focused on text performance in marketing and copywriting environments.

Using historical data, conversion predictions, and audience analysis, the platform helps writers create more effective and strategically optimized texts.

One of the main differences of Anyword is its predictive scoring system (Predictive Performance Score), which automatically evaluates which textual variation has the greatest potential for engagement and conversion, based on real data.

The tool allows you to create ads, landing pages, emails, product descriptions and social media posts with a focus on results.

It also offers persona-based personalization, channel-based analytics (Facebook, Google, LinkedIn, etc.), and automated A/B testing, making it ideal for writers who want to combine creativity with data-driven performance.

Who is it for: advertising writers and copywriters.

Features:

Text generation with performance prediction
Automated A/B testing
Suggested variants

Plans: plans starting at US$39/month.

Frase.io

IO Phrase

O Frase.io is an artificial intelligence platform designed to help writers and content professionals create highly search engine optimized articles.

It combines research, structuring, and writing functionality in one place, allowing users to create relevant content based on deep competitor analysis and search intent.

The system automatically generates briefs with important topics, related keywords and frequently asked questions extracted directly from Google.

Additionally, Frase offers a smart editor with real-time suggestions to improve the SEO of your text, integrations with tools like Google Search Console, and features for creating answers for FAQs and featured snippets.

It's a powerful solution for anyone who wants to write with authority and rank at the top of search results.

Who is it for: blog writers, ghostwriters and content producers.

Features:

Automated competitor-based briefings
Real-time SEO optimization
AI-powered content generation

Plans: start at US$45/month.

Copy.ai

Copy AI

Copy.ai is one of the most complete and accessible platforms for generating content with artificial intelligence.

Created with a focus on simplicity and productivity, it offers more than 90 ready-made text templates for different formats, such as social media posts, product descriptions, emails, video scripts and even ebooks.

The tool also has an intuitive editor and features such as custom workflows and marketing automations.

An important difference is the support for Portuguese and other languages, in addition to the 'Brand Voice' functionality, which allows you to create texts with tonal consistency aligned with your identity.

O Copy.ai It also has collaboration features for teams and integrations via API, making it a robust solution for both individual professionals and marketing and content teams.

Who is it for: content creators in general and writers of multiple formats.

Features:

Templates for over 90 text types
Writing by simple commands
Integration with other tools

Plans: personalized, see here.

What is the Best AI for Writers?

As we have seen, the answer to “What is the best AI for writers?” It depends on your goal: improving style, writing fiction, accelerating productivity, optimizing for SEO, or proofreading for accuracy. The best way to go is to test the tools that best align with your routine.

If you want to master the use of these AIs autonomously, also get to know the NoCode Training with AI from No Code StartUp and discover how to create your own solutions, even without knowing how to program.

Further reading:

June 11, 2025
8 min

EN