How WhatsApp Business API Works: Official vs Unofficial

February 12, 2025
5 min

The WhatsApp API is one of the main solutions for companies that want to scale their customer service and communication automation.

WhatsApp, being one of the most popular messaging apps in the world, allows direct and efficient interactions with customers. However, when it comes to automation and integration, using the WhatsApp API becomes essential.

So, there are two main options for this integration: the Official WhatsApp Business API and the Unofficial APIs. But which one should you choose?

In this article, we’ll explore the differences, advantages, disadvantages, pricing models, and costs to help you make the best decision for your project. Keep reading and find out which WhatsApp API makes the most sense for your business!

Types of WhatsApp available on the market: discover the options

types of whatsapp available in the market

Before we talk about WhatsApp APIs, it is important to understand the three main types of WhatsApp available:

Personal WhatsApp

WhatsApp Personal is the traditional version of the app, used by billions of people around the world. Intended for individual users, it does not include business-oriented features or automation.

WhatsApp BusinessVersion

Version aimed at small and medium businesses. This version has features such as a product catalog, automatic messages and business profiles, but still relies on manual interactions.

Furthermore, it allows the simultaneous use of two numbers on the same device, one in the personal application and the other in the Business application, in a completely legal manner and in line with Meta's guidelines.

WhatsApp Business API

Unlike previous versions, WhatsApp Business API is not an application, but a cloud-based solution that allows WhatsApp integration to different systems, enabling automation and personalization of interactions.

Companies that manage a large volume of messages use this API to optimize communication with customers, ensuring efficiency and scalability. With this solution, it is possible to:

automate the sending of messages and notifications;
to create chatbots for customer service;
integrate WhatsApp with CRMs, ERPs and other business platforms;
use artificial intelligence to personalize interactions.

How does the WhatsApp Business API work?

The WhatsApp Business API acts as a bridge between different systems, allowing softwares to communicate automatically. Since it is not an application installed on the cell phone, the entire operation takes place in the cloud, ensuring scalability and reliability for companies that need high-performance communication.

Although initially aimed at developers, today there are several solutions that simplify the implementation of the WhatsApp Business API, making it accessible to companies of different sizes.

Now that we understand the concept, let's explore the differences between the Official WhatsApp API and Unofficial WhatsApp APIs.

Official API vs. Unofficial API: Know the main differences

official api vs unofficial api differences

Businesses can choose between two types of WhatsApp API for integration:

Official WhatsApp Business API (provided directly by Meta or licensed companies);
Unofficial APIs (provided by third parties, without any connection to Meta, but within the law).

Next, we will understand the main differences between them.

Official WhatsApp Business API

The Official WhatsApp Business API is provided by Meta (Facebook) itself or by licensed companies. Meta recently began offering this service directly to end users, without the need for licensed intermediaries.

This API can be integrated directly via Facebook's Business Manager (BM), ensuring security and compliance with Meta's policies. Among the main features of the Official API:

integration via Facebook Business Manager;
mandatory use of pre-approved message templates to start conversations;
billing based on conversations initiated;
restriction on sending messages outside of Meta's rules;
lower risk of blocking, as long as you follow the guidelines/

Please note that Meta does not allow unrestricted sending of messages. To start a conversation, it is mandatory to use approved message templates, ensuring that the contact complies with WhatsApp policies. The template categories are:

marketing: promotions, coupons and offers;
utility: order confirmations, delivery tracking;
authentication: sending verification codes;
service: user-initiated messages at no additional cost.

After the first template is sent, the conversation can continue normally for up to 24 hours without the need for a new template.

And how does billing work on the Official API?

The pricing for the Official WhatsApp API is based on conversations initiated and varies depending on the message category:

marketing messages: about R$ 0.36 per conversation started;
utility messages: approximately R$ 0.04 per conversation initiated;
authentication messages: around R$ 0.015 per conversation initiated;
client initiated messages: at no additional cost.

Other important points about billing include the 24-hour validity for each conversation initiated by the company, which means that if it is necessary to continue the interaction after this period, a new paid template will be required.

Additionally, starting in April 2025, authentication and utility messages sent within this 24-hour window will no longer be charged.

Unofficial APIs

Unofficial APIs are solutions offered by third parties, with no direct relationship with Meta. Although they are not licensed, many of these APIs are completely legal and follow security standards. The main characteristics of Unofficial APIs include:

simplified integration via QR Code;
allows sending messages without the need for pre-approved templates;
fixed price per integrated WhatsApp number;
greater flexibility for shipping and automation;
higher risk of ban in case of spam or inappropriate use.

Unlike the Official API, which requires template approval and follows strict rules, Unofficial APIs allow messages to be sent freely, without category restrictions or prior approval. This allows for more dynamic contact with customers, ideal for companies that need freedom in communication.

And how does the billing work? Unofficial APIs?

The pricing of Unofficial APIs varies depending on the provider. Some operate with fixed monthly plans, while others charge per connected WhatsApp number.

some companies offer plans starting from R$99 per integrated WhatsApp number;
others offer packages for multiple numbers, reducing the cost per account;
There are open-source options, which can be used free of charge, but require their own infrastructure.

Despite the freedom offered by Unofficial WhatsApp APIs, it is essential to consider the risks involved. Since there is no direct link to WhatsApp, these APIs are more prone to blocking, especially when used for mass sending without the proper consent of users.

Furthermore, Meta support and warranty are not available, which means that any technical issues or blockages will depend solely on the API provider.

Sending messages without the recipients' authorization can also result in restrictions, compromising the company's continued communication with its customers.

So which API to choose?

Choosing between the Official WhatsApp API and Unofficial WhatsApp APIs depends on your business needs. While the Official API provides greater security and compliance, Unofficial APIs offer more freedom and predictable costs.

Evaluate your options based on your message volume, need for automation, and level of risk you are willing to take.

To learn more about automation and other efficient strategies for integrate chatbots, automatic notifications and artificial intelligence to your business, explore more at our YouTube channel and in the NoCode StartUp website.

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

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?

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

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.

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.

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.

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

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.

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.

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.

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 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.

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.

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.

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?

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

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

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

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

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

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 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 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 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 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

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 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

How WhatsApp Business API Works: Official vs Unofficial

Types of WhatsApp available on the market: discover the options

Personal WhatsApp

WhatsApp BusinessVersion

WhatsApp Business API

How does the WhatsApp Business API work?

Official API vs. Unofficial API: Know the main differences

Official WhatsApp Business API

And how does billing work on the Official API?

Unofficial APIs

And how does the billing work? Unofficial APIs?

So which API to choose?

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