The 12 best no-code tools

December 1, 2022
6 min
Updated June 30, 2025

Have you ever had contact with No Code tools? If you've never heard of it, know that this article could change the way you work!

Have you ever thought about creating a unique app without coding? With no-code, it takes hours (not months).

Perhaps you are doubting this information because you have no affinity with programming languages, but the truth is that there is no need to know how to program or write a line of code. You will understand everything better right now!

No Code Tools: what they are

Before knowing the best No Code tools available on the market, it is necessary to better understand the actual what is No Code.

The translation of the term already says a lot, as No Code means “without code”, which is exactly what it is about.

No Code technology allows anyone to achieve program, but without needing lines of code. Visual platform (drag-and-drop) that generates code for you. No JavaScript, Python or C++.

And how does it happen? There are the No Code tools, where you will be able to create apps and softwares from a visual programming, through blocks and development of action flows in a simple way.

The tools use very visual methods so that you can perform complex operations by dragging some blocks, for example.

What are the 12 Best no-code Tools

Now, finally, let's get to know some of the No Code tools🇧🇷 There are specific tools for each area of development and here we will segment them into:

website creation
Web application development
Mobile application development
Database Development
Automations

Website Creation no-code

webflow

Launch responsive websites with native CMS and SEO control. Preferred by 52 % of no-code designers (Webflow Conf 2024 survey).

The tool webflow allows its user to modify and customize their website in the easiest possible way, almost like “click and drag”, leaving it with their personality without any difficulty.

wordpress

One of the oldest and most used no-code tools is WordPress. Suitable for those who want to go beyond static pages, creating complete projects such as an e-commerce site or a booking site.

To create websites with this tool, you can use various plugins that will support you throughout the development. However, you may be limited to existing plugins for your projects.

Web Application Development

Bubble

Bubble is one of the most well-known tools in the no-code universe. With her domain, it is possible to create robust and customized applications and softwares.

A big differential of Bubble is that in addition to enabling complex functions and powerful API integrations, the tool has an integrated database for building projects.

Although bubble creates responsive systems to be used in the mobile browser, the tool is not suitable for creating native applications

Bubble is recommended in the development of management systems, marketplaces and SaaS. Meet our free bubble course and start creating apps right now with these tools

Bildr

This tool, like Bubble, is ideal for creating robust systems, with complete logic, which will be responsive on mobile phones.

However, BildR's focus is on creating projects in the web3 and blockchain world, such as creating e-commerces for NFTs, dApps and crypto games.

Soft

Also a powerful tool that is gaining more and more space in the no-code ecosystem.

Because it is simpler than Bubble, it gains fans due to the lower learning curve to create simpler applications.

However, with simplicity, there may also be some limitations that you should be aware of for your projects.

No Code App Development

AppGyver

We can say that it is the pioneer in professional technology platform no code. Its biggest differential is the simplicity when building, in addition to a very professional format.

With its focus on mobile development, it allows the creation of native applications for the Play Store and App Store, with native offline apps functionality. Build ≤ 15 MB; zero cost up to 20k active users.

No-Code Start-Up has a free AppGyver course and very complete, so you can take your first steps with this powerful tool.

FlutterFlow

With a slightly higher learning curve, FlutterFlow allows the creation of complex mobile applications and has the great advantage of providing access to the code. Exports clean Flutter code. +400 templates, native push and web-build beta 2025.

Flutter FlowFlutterFlow is aimed at iOS and Android development and has recently released its version for web applications as well.

Due to the high range of templates, it allows starting projects already with an advanced UI.

glide

Glide is a platform integrated with Google spreadsheets, so you can create a app from the data in your spreadsheet in a very simple way.

It is perfect for simple apps, which will have the spreadsheet itself as a database, but it may have its limitations for more complex applications. Best for spreadsheet MVP: internal apps up to 25k lines without crashing.

Database and backend development in code

Xano

Xano is a no-code backend designed to scale your applications, combining codeless simplicity with the power of a traditional backend. no-code backend that scales millions requests; REST & GraphQL without plugin.

A darling of no-code developers for advanced projects, Xano allows integration via API with several platforms and the performance of heavy searches with speed.

air table

Airtable is affectionately referred to as a Google Spreadsheet on steroids, due to its ease of use, but without losing the power of a robust database.

Through it you will be able to organize information in a simple and agile way and integrate with several other no-code tools. Tables + views + automations; integrates with 1,000+ apps.

Automations

Zapier

Zapier will automate the workflow when integrating apps into your routine.

Leaving the premise of the platforms already listed, the Zapier is a tool no-code which is suitable for automation.

through the Zapier It is possible to connect with other applications and other tools, making them perform specific tasks, speeding up and optimizing time with more than 6,000 integrations; simple, but expensive in high volume.

make up

Formerly known as Integromat, Make, like zapier, allows the creation of automations and integration between hundreds of applications.

Compared to Zapier, Make has apps less, but 30 % lower visual scenarios and prices.

Benefits of no-code

Is it worth using No Code tools🇧🇷 In fact, this technology brings many benefits that, without a doubt, brought a revolution in the area of software development. apps and websites.

Check out some of the main benefits of using such tools on a daily basis (both professional and personal):

Democratize: anyone creates solutions
Accelerate: apps in days, not months
Reduce: up to 70 % in dev cost
Gain autonomy: less queue at IT
Personalize: solves exactly the user's pain

no code is really amazing and opens many doors for companies and also for all those who want to invest in the applications market, even if they don't know anything about codes.

The digital market is on the rise and there is no prospect of slowing down, so it is essential to stay on top of these technologies if you live in the corporate world.

Be sure to learn a little more about these tools, as most likely they will optimize some stagnant process in your company or even something you need to do in your day to day.

Explore a little more No Code tools mentioned in this article and choose the one that makes the most sense for your need at the moment. We also recommend our article on the steps of how to create an app.

What are the best tools in code?

1. Webflow
2. WordPress
3. Bubble
4. Bildr
5. Softer
6. AppGyver
7. FlutterFlow
8. glide
9. Xano
10. Airtable
11. Zapier
12. Make up

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

O que é o Hugging Face – e por que todo projeto moderno de NLP passa por ele?

Em essência, o Hugging Face é um repositório colaborativo open‑source onde pesquisadores e empresas publicam modelos pré‑treinados para tarefas de linguagem, visão e, mais recentemente, multimodalidade. Porém, limitar‑se a essa definição seria injusto, pois a plataforma agrega três componentes-chave:

Hugging Face Hub – um “GitHub para IA” que versiona modelos, datasets and apps interativos, chamados de Spaces.
Biblioteca Transformers – a API Python que expõe milhares de modelos state‑of‑the‑art com apenas algumas linhas de código, compatível com PyTorch, TensorFlow e JAX.
Ferramentas auxiliares – como datasets (ingestão de dados), diffusers (modelos de difusão para geração de imagens) e evaluate (métricas padronizadas).

Dessa forma, desenvolvedores podem explorar o repositório, baixar pesos treinados, ajustar hyperparameters em notebooks e publicar demos interativas sem sair do ecossistema.

Consequentemente, o ciclo de desenvolvimento e feedback fica muito mais curto, algo fundamental em cenários de prototipagem de MVP – uma dor comum aos nossos leitores da persona Founder.

Principais produtos e bibliotecas (Transformers, Diffusers & cia.)

A seguir mergulhamos nos pilares que dão vida ao Hugging Face. Repare como cada componente foi pensado para cobrir uma etapa específica da jornada de IA.

Transformers

Criada inicialmente por Thomas Wolf, a biblioteca transformers abstrai o uso de arquiteturas como BERT, RoBERTa, GPT‑2, T5, BLOOM e Llama.

O pacote traz tokenizers eficientes, classes de modelos, cabeçalhos para tarefas supervisionadas e até pipelines prontos (pipeline(“text-classification”)).

Com isso, tarefas complexas viram funções de quatro ou cinco linhas, acelerando o time‑to‑market.

Datasets

Com datasets, carregar 100 GB de texto ou áudio passa a ser trivial. A biblioteca streama arquivos em chunks, faz caching inteligente e permite transformações (map, filter) em paralelo. Para quem quer treinar modelos autorregressivos ou avaliá‑los com rapidez, essa é a escolha natural.

Diffusers

A revolução da IA generativa não se resume ao texto. Com diffusers, qualquer desenvolvedor pode experimentar Stable Diffusion, ControlNet e outros modelos de difusão. A API é consistente com transformers, e o time do Hugging Face mantém atualizações semanais.

Gradio & Spaces

O Gradio virou sinônimo de demos rápidas. Criou um Interface, passou o modelo, deu deploy – pronto, nasceu um Space público.

Para startups é uma chance de mostrar provas de conceito a investidores sem gastar horas configurando front-end.

Se você deseja aprender como criar MVPs visuais que consomem APIs do Hugging Face, veja nosso FlutterFlow Course e integre IA em apps móveis sem escrever Swift ou Kotlin.

Hugging Face é pago? Esclarecendo mitos sobre custos

Muitos iniciantes perguntam se “o Hugging Face é pago”. A resposta curta: há um plano gratuito robusto, mas também modelos de assinatura para necessidades corporativas.

Gratuito: inclui pull/push ilimitado de repositórios públicos, criação de até três Spaces gratuitos (60 min de CPU/dia) e uso irrestrito da biblioteca transformers.
Pro & Enterprise: adicionam repositórios privados, quotas maiores de GPU, auto‑scaling para inferência e suporte dedicado.

Empresas reguladas, como as do setor financeiro, ainda podem contratar um deployment on‑prem para manter dados sensíveis dentro da rede.

Portanto, quem está validando ideias ou estudando individualmente dificilmente precisará gastar.

Só quando o tráfego de inferência cresce é que faz sentido migrar para um plano pago – algo que normalmente coincide com tração de mercado.

Como começar a usar o Hugging Face na prática

Seguir tutoriais picados costuma gerar frustração. Por isso, preparamos um roteiro único que cobre do primeiro pip install até o deploy de um Space. É a única lista que usaremos neste artigo, organizada em ordem lógica:

Create an account em https://huggingface.co e configure seu token de acesso (Settings ▸ Access Tokens).
Instale bibliotecas‑chave: pip install transformers datasets gradio.
Faça o pull de um modelo – por exemplo, bert-base-uncased – com from transformers import pipeline.
Rode inferência local: pipe = pipeline(“sentiment-analysis”); pipe(“I love No Code Start Up!”). Observe a resposta em milissegundos.
Publique um Space com Gradio: crie app.py, declare a interface e push via huggingface-cli. Em minutos você terá um link público para compartilhar.

Depois de executar esses passos, você já poderá:
• Ajustar modelos com fine‑tuning
• Integrar a API REST à sua aplicação Bubble
• Proteger inferência via chaves de API privadas

Integração com Ferramentas NoCode e Agentes de IA

Um dos diferenciais do Hugging Face é a facilidade de plugá‑lo em ferramentas sem código. Por exemplo, no N8N você pode receber textos via Webhook, enviá-los à pipeline de classificação e devolver tags analisadas em planilhas Google – tudo sem escrever servidores.

Já no Bubble, a API Plugin Connector importa o endpoint do modelo e expõe a inferência num workflow drag‑and‑drop.

Se quiser aprofundar esses fluxos, recomendamos o nosso Make Course (Integromat) and the SaaS IA NoCode Training, onde criamos projetos de ponta a ponta, incluindo autenticação, armazenamento de dados sensíveis e métricas de uso.

02 de July de 2025
4 min

Matheus Castelo

AI Agent for Purchasing: How Artificial Intelligence Can Optimize Your Procurement

The use of a AI agent for shopping is becoming a strategic necessity for e-commerce companies, purchasing managers and technology and innovation professionals.

This technology makes it possible to automate processes, reduce costs and improve strategic decisions in corporate acquisitions.

Want to understand in detail how these autonomous AI agents work in practice? Check out this detailed article from SAP, which provides concrete examples of how agents select suppliers and generate orders automatically: What are AI agents?.

What is an AI agent for shopping?

An AI agent for procurement is an advanced software designed to automate and optimize processes related to the procurement of goods and services.

It combines artificial intelligence, machine learning, and automation to perform tasks that would normally be done manually.

These agents can act as a virtual assistant for e-commerce, recommending products and facilitating recurring purchases.

Furthermore, they function as a AI chatbot for product recommendation, offering real-time support to managers and internal teams.

How does the application of AI in the purchasing process work?

The application of AI in purchasing mainly involves the automatic collection and analysis of large volumes of data, including purchasing history, supplier behavior, market prices and internal demands.

Want to better understand how these technologies help reduce costs and make more efficient decisions in practice? Check out real examples in IBM's detailed article on How AI optimizes processes in the purchasing sector.

Using this data, the agent suggests ideal suppliers, automatically negotiates better prices, and generates personalized recommendations for new purchases. In addition, it can anticipate future demands and avoid stock shortages, always maintaining ideal supply levels.

Advantages and benefits for companies

Implementing an AI agent brings measurable benefits to organizations:

Cost reduction

Companies report reductions of up to 25% in procurement-related operational costs after implementing intelligent agents. This is due to the automation of manual processes and improved negotiation capabilities through data analysis.

Increased productivity

Intelligent agents reduce time spent on repetitive tasks, allowing teams to focus on strategic activities, increasing productivity by up to 35%. See more details in the article Tips on the benefits of AI in Procurement.

Better strategic decisions

With AI technology to optimize purchasing decisions, companies can make more assertive decisions, based on predictive analysis and historical behavior.

Greater compliance

AI agents also help with compliance by ensuring that all acquisitions follow internal standards and policies, reducing audit risks and fines.

Practical examples and use cases

A retail chain adopted an AI agent to monitor inventory in real time, allowing them to predict demand more accurately. This reduced stockouts and saved thousands of dollars annually.

In the pharmaceutical sector, AI agents automate the renewal of contracts and recurring orders, speeding up administrative processes and reducing manual errors.

Another successful application is in large e-commerces, where agents act by automatically recommending products to customers based on history and preferences, boosting sales.

Want to see how companies like Zara and Coca-Cola are applying AI to their purchasing operations and achieving great results? Read this full report on the DataCamp blog.

Future trends and integration with other technologies

The future of AI agents for purchasing is highly integrated with other emerging technologies. They already connect to ERP systems, automation platforms such as n8n, Make and generative AI tools such as Dify.

The trend is for these agents to become increasingly personalized and autonomous, creating specific solutions for each company and sector.

This integration promises to make purchasing operations even more efficient and free of bottlenecks. Learn more about trends in Electronic Market.

AI Agent FAQs

How to use AI in the purchasing sector?

To use AI, simply implement an agent connected to the company's current systems, such as ERP and CRM, and allow it to learn from the data.

With this, it can automate purchases, manage suppliers and recommend strategic decisions automatically.

How much does an AI agent earn?

The term “AI agent” refers to the technology, not a specific professional. However, managers who operate these solutions can earn salaries ranging from R$14,000 to R$14,000, depending on their level of experience and responsibility.

What AI agents are there?

The main types are:

Shopping: Automate tasks such as quotation, supplier selection, order generation and inventory control. These agents optimize time and reduce errors in purchasing decisions.
Customer service: responsible for interacting with consumers via chat, voice or email, offering automated support, resolving queries and speeding up service based on the user's history and intention.
Human Resources: They assist in processes such as CV screening, interview scheduling, performance analysis and organizational climate management, promoting greater agility and efficiency in the sector.
Financial management: perform tasks such as bank reconciliation, cash flow forecasting, automatic expense classification and budget control, offering greater precision and agility in corporate finance management.
Customer onboarding: They work on the automated reception of new customers, guiding them through initial processes, such as registration, account activation, explanations about products or services and integration with platforms, ensuring a fluid and fast experience from the first contact.

How much does an AI agent cost?

The cost of implementing an AI agent can vary significantly based on the complexity of the solution and the integrations required.

Popular SaaS platforms like IBM Watson or Pipefy offer plans starting at R$200 per user per month.

Highly customized projects, involving integrations with ERPs, CRMs and intensive use of generative AI, can easily exceed R$20 thousand per month.

If you want an economical and efficient alternative, consider investing in your own training.

NoCode Startup's specialized training teaches you how to develop your own AI agents to automate purchasing processes, customize flows and save money with tailored solutions. Find out how to become an AI Agent Manager here.

Why Your Business Needs an AI Agent Now

In a scenario where efficiency, speed and assertiveness are increasingly required in purchasing areas, having an AI agent is no longer a differentiator but has become a strategic pillar.

This technology transforms the way your company negotiates, anticipates demands and makes critical decisions.

June 25, 2025
5 min

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?

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

The 12 best no-code tools

Table of Contents

No Code Tools: what they are

What are the 12 Best no-code Tools

Website Creation no-code

Web Application Development

No Code App Development

Database and backend development in code

Automations

Benefits of no-code

What are the best tools in code?

Watch our Free MasterClass

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

More Articles from No-Code Start-Up:

O que é o Hugging Face – e por que todo projeto moderno de NLP passa por ele?

Principais produtos e bibliotecas (Transformers, Diffusers & cia.)

Transformers

Datasets

Diffusers

Gradio & Spaces

Hugging Face é pago? Esclarecendo mitos sobre custos

Como começar a usar o Hugging Face na prática

Integração com Ferramentas NoCode e Agentes de IA

What is an AI agent for shopping?

How does the application of AI in the purchasing process work?

Advantages and benefits for companies

Cost reduction

Increased productivity

Better strategic decisions

Greater compliance

Practical examples and use cases

Future trends and integration with other technologies

AI Agent FAQs

How to use AI in the purchasing sector?

How much does an AI agent earn?

What AI agents are there?

How much does an AI agent cost?

Why Your Business Needs an AI Agent Now

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

How does AI help teachers in practice?

Types of Artificial Intelligence used in Education

Generative AI

Analytical AI

Autonomous Educational Agents

AI Agents: The Future of Personalized Education

AI Tools Every Educator Needs to Know

Curipod

Canva Magic Write

AudioPen

Eduaide.Ai

MagicSchool.ai

Copilot for Education (Microsoft)

Dify + OpenAI

Automation of pedagogical tasks: more time to teach

AI FAQs for Educators

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

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