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Best tools for creating AI Agents

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Estimated reading time: 13 minutes

What would it be like if you could create agents AI without being a programming expert? What if I told you that No-Code tools are making this possible, making life easier for those who are not from the technical field?

That's right, you don't need to be a programmer to enter the world of AI.

In this article, we’ll dive into the fascinating world of AI agents and show you how you can use them, even without advanced technical knowledge.

We will explore tools that are friendly to both beginners and more experienced professionals. In addition, we will highlight the crucial differences between AI agents and chatbots, helping you choose the best option for your project.

Get ready to discover how to boost your initiatives with cutting-edge technology, in a simple and effective way. Are you curious? Keep reading and learn all about this exciting topic.

Categories of No-Code Tools for AI

Building artificial intelligence (AI) agents has become easier with the advancement of No-Code tools.

These tools are ideal for those who do not have in-depth technical knowledge in programming, but want to create an innovative product. Let's understand how these tools can be useful and accessible.

Natural Language Processing (NLP) Tools

They are essential for AI agents to understand and react to human language.

With these tools, you can build systems that interact with and understand users in a natural way. Imagine building a virtual assistant that answers frequently asked questions from customers, like Chatbase or using GPT-4o, OpenAI’s latest model.

GPT-4o is free and offers multimodal capabilities, allowing interactions via text, voice and image, providing more efficient and humanized customer service.

Conversation Flow Development Tools

What is the best automation tool for WhatsApp?
Best Tools for Creating AI Agents 4

Easy and Intuitive (Ideal for Beginners)


ManyChat: It offers an intuitive interface with a drag-and-drop visual editor, ideal for beginners. It allows you to create chatbots for Facebook Messenger, WhatsApp, SMS and email. It has a free plan with basic features and paid plans starting at US$$ 15/month.

Landbot: Visual platform that allows you to create chatbots for web, WhatsApp and Facebook Messenger. It offers ready-made templates and conditional logic. It has a free plan with 100 chats/month and paid plans starting at €40/month.

Wati: Specialized in automation for WhatsApp, it allows you to create chatbots without code with intuitive logical flows. Offers a 7-day free trial.

Moderately Intuitive (Requires Some Experience)


Chatfuel: Allows you to create chatbots for Facebook Messenger, WhatsApp and Instagram. Offers ready-made templates and AI integration. Has a free plan with limited features and paid plans starting at US$$15/month.

HubSpot Chatbot Builder: Integrated with HubSpot CRM, it allows you to create chatbots for lead qualification and customer service. It offers a free plan with basic features and paid plans with advanced functionalities.

Advanced (Recommended for Users with Technical Experience)


Botpress: Open source platform that allows you to create highly customizable chatbots. Requires technical knowledge for configuration and implementation. It has a free plan with basic features and paid plans with advanced features.

Voiceflow: Focused on creating voice assistants and complex chatbots, it offers a visual interface for designing conversation flows. It has a free plan with limited features and paid plans for advanced features.

Custom AI Model Generation Platforms

Best tools for creating AI Agents
Best Tools for Creating AI Agents 5

These platforms allow you to create AI models that are specifically tailored to the needs of your project.

For example, with services like Azure Machine Learning or Google AutoML, you can train models to predict market trends or consumer behaviors without being a data expert.

Using No-Code tools to develop AI agents not only saves time, but also democratizes the technology.

Choosing the right tool can be a game changer for your project or business. That’s why it’s important to understand what each one offers and how it can align with your goals.

This flexibility and accessibility are the great advantages of No-Code tools in the digital age.

Langchain: A Core Tool for AI Agents

Artificial intelligence (AI) is changing the way we interact with technology.

Today, with No Code platforms, you don’t need to be a developer to create an intelligent agent. These tools simplify the process, making it accessible to everyone.

One of the most interesting tools is the Lang Chain. It allows anyone build a chatbot without having to write code.

This is great for small businesses or anyone who just wants to automate social media responses.

Other popular tools like Dante, Zia, Defy, and Synthflow are also popular. They offer a variety of features that can help everyone from the casual user to the most experienced developer.

For example, Dante is perfect for beginners who want to create something simple quickly.

Specifically speaking about chatbots, tools like Type bot, ManyChat, Botpress, Voice Flow, and Laila stand out. They allow you to create bots that not only respond automatically, but also learn and adapt over time.

Imagine having a virtual assistant that learns from conversations and improves with each interaction. This is possible with these tools!

It is important to understand the difference between a simple chatbot and a more sophisticated artificial intelligence agent.

Choosing the right tool can significantly impact quality and efficiency of your project. A good intelligent agent can save time, reduce costs and improve user experience.

So if you are thinking about creating your own intelligent agent, consider your needs and choose the right tool. The possibilities are vast and the tools are within everyone’s reach.

With a little creativity and the right platforms, you can transform the way you interact with your customers or followers.

Specific Tools for creating AI Agents

Choosing the right tools to create artificial intelligence agents can make all the difference in your project.

Here are some of the best platforms that can help both beginners and experienced professionals to develop smart solutions effectively:

  • Dante – Ideal for Beginners: If you're starting out and want to experiment with creating AI agents, Dante is a great choice. It has an easy-to-use interface and comes with several ready-made settings, which greatly simplifies the development process.
  • Zaia – Continuous Learning: This platform is known for truly understanding user needs. With Zaia, each interaction helps to improve responses and recommendations, thanks to its continuous learning system, becoming increasingly accurate and useful.
  • Chatvolt – Ideal for companies looking for efficient service adapted to their data, Chatvolt uses advanced models such as ChatGPT and 39 other LLMs to reduce operational costs and optimize the customer experience with highly customizable AI agents.
  • Dify – Predicative Analysis: For more complex projects that require predictive analysis and process optimization, Dify is the right choice. It offers advanced machine learning and data integration tools, enabling you to create agents that can predict trends and optimize operations.
  • Synthflow – Focus on Interaction: If your project needs an agent that interacts naturally with users, Synthflow is ideal. It combines natural language processing with conversational flow creation, creating an engaging and dynamic user experience.

These tools were chosen because they offer varied and adaptable solutions, depending on the needs of each project.

Choosing the correct tool is crucial to the success of your AI agent, as each has distinct characteristics that can benefit different types of projects. For example, if you need something simple and easy to use, go with Dante.

For continuous learning and adaptation needs, Zaia or Chatvolt may be the best option. Remember that a good project starts with the right choice of tools!

AI Agents versus Chatbots: Understand the Differences

Understanding the difference between chatbots and AI agents can help you better choose the technology for your project. Let's simplify this!

You chatbots are like automated attendants that follow a script. They are great for simple tasks like answering frequently asked questions or scheduling an appointment.

Imagine you ask a chatbot about a store’s opening hours, and it promptly responds with the programmed information.

Already the AI agents are more like intelligent personal assistants. They learn from each interaction and improve their responses over time.

If you are looking for a more personalized experience, where the system recognizes your tastes and preferences, an AI agent is the best option.

For example, while a chatbot might give you a standard answer about a cake recipe, an AI agent might suggest adjustments to the recipe based on what it learned about your past preferences or dietary restrictions. This shows how AI agents can be more adaptable and personable.

If your goal is simply to provide information or answer simple questions, a chatbot may be sufficient. But if you’re looking to offer a unique and tailored experience for each user, an AI agent may be the best choice.

Evaluate your needs and see which technology best fits to offer the best service to your users.

Remember, the choice between a chatbot and an AI agent can define your user's level of satisfaction with the interaction. Choose the technology that best suits your objective and offers a remarkable and efficient experience.

Software Architecture: Building Intelligent Applications

When it comes to building artificial intelligence (AI) applications, the software architecture is the foundation that holds everything together. It’s like the skeleton of a building: if it’s not well designed, the building won’t stand up.

For an AI agent to function well, it needs a framework that supports it efficiently, ensuring not only its functioning now, but also its future evolution.

There are some key points you need to consider when designing this architecture:

  • Data Organization: Imagine that data is the fuel for your AI agent. If this fuel is not well organized, the agent will not be able to perform well. A well-structured database allows the agent to quickly find what they need, making the entire process more agile and efficient.
  • Clear Processes: It is essential to have a clear vision of how each agent process will work, from data collection to user interaction. This helps avoid mistakes and ensures that the agent always knows what to do in each situation.
  • Integration with Other Services: These days, an AI agent rarely works alone. It needs to communicate with other applications and services. A flexible architecture facilitates this integration, allowing your agent to adapt and use resources from other systems to improve its performance.
  • Choice of Algorithms: Algorithms are the heart of your AI agent. Choosing the most appropriate ones and implementing them correctly is essential so that your agent can learn and adapt over time, improving their accuracy and efficiency.

In addition to these elements, it is important to think about the scalability and adaptability of your architecture. This means designing with not only current needs in mind, but also future ones.

An AI agent that can grow and adapt over time is much more valuable, as it can continue to be useful as new technologies and requirements emerge.

Therefore, a well-planned architecture is not just a technical detail; it is what allows your AI application to actually deliver results and stay relevant in the market.

Investing time and resources in this foundation will save you a lot of headaches and ensure that your AI project is a success.

Revolutionizing Software Creation with AI

How AI is being used in software development
Best Tools for Creating AI Agents 6

In this article, we explore how artificial intelligence is changing the way we create softwares, especially with the help of No-Code tools.

You saw the difference between AI agents and chatbots, discovered tools to develop agents without having to code, and understood the importance of the software architecture.

Now, with this knowledge, you can bring your ideas to life, creating smarter and more efficient projects.

Ready to use what you learned?

No-code tools not only simplify the creation of AI agents, they also open the door to endless innovation.

You don't need to be a programming expert to bring your ideas to the digital world.

Now that you have the knowledge and tools, how about starting to create? No-Code technology is here to make your work easier and expand your possibilities.

With NoCode StartUp, you have everything you need to turn your ideas into reality. Enter our course NocodeIA and learn how to use the best in the world Nocode with Artificial Intelligence.

Further reading:

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Watch our Free MasterClass

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

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Large Language Models (LLMs) have become one of the most talked-about technologies in recent years. Since the meteoric rise of ChatGPT, generative AI-based tools are being explored by entrepreneurs, freelancers, CLT professionals, and tech-curious individuals.

But why is understanding how LLMs work so important in 2025? Even if you don't know how to program, mastering this type of technology can open doors to automation, the creation of digital products, and innovative solutions in various areas.

In this article, we will explain in an accessible way the concept, operation and real applications of LLMs, focusing on those who want to use AI to generate value without relying on code.


What is an LLM

What is an LLM?

LLM stands for Large Language Model. It is a type of artificial intelligence model trained on huge volumes of textual data, capable of understanding, generating and interacting with human language in a natural way. Famous examples include:

  • GPT-4 (OpenAI)
  • Claude (Anthropic)
  • Gemini (Google)
  • Mistral
  • Perplexity IA

These models function as “artificial brains” capable of performing tasks such as:

  • Text generation
  • Automatic translation
  • Sentiment classification
  • Automatic summaries
  • Image generation
  • Automated service

How do LLMs work?

In simple terms, LLMs are built on Transformer neural networks. They are trained to predict the next word in a sentence, based on large contexts.

The more data and parameters (millions or billions), the more powerful and versatile the model becomes.

Read more: Transformers Explained – Hugging Face

Own LLMs vs. API usage: what do you really need?

Building your own LLM requires robust infrastructure, such as vector storage, high-performance GPUs, and data engineering. That's why most professionals opt for use ready-made LLMs via APIs, like those of OpenAI, Anthropic (Claude), Cohere or Google Gemini.

For those who don't program, tools like Make, Bubble, N8N and LangChain allow you to connect these models to workflows, databases, and visual interfaces, all without writing a line of code.

Additionally, technologies such as Weaviate and Pinecone help organize data into vector bases that improve LLM responses in projects that require memory or customization.

The secret is to combine the capabilities of LLMs with good practices in prompt design, automation and orchestration tools — something you learn step by step in AI Agent Manager Training.

Difference between LLM and Generative AI

Although they are related, not all generative AI is an LLM. Generative AI encompasses many different types of models, such as those that create images (e.g. DALL·E), sounds (e.g. OpenAI Jukebox), or code (e.g. GitHub Copilot).

LLMs are specialized in understanding and generating natural language.

For example, while DALL·E can create an image from a text command, such as “a cat surfing on Mars,” ChatGPT, an LLM — can write a story about that same scenario with coherence and creativity.

Examples of practical applications with NoCode

The real revolution in LLMs is the possibility of using them with visual tools, without the need for programming. Here are some examples:

Create a chatbot with Dify

As Dify Course, it is possible to set up an intelligent chatbot connected to an LLM for customer service or user onboarding.

Automate tasks with Make + OpenAI

Node Makeup Course You learn how to connect services like spreadsheets, email, and CRMs to an LLM, automating responses, data entry, and classifications.

Building AI Agents with N8N and OpenAI

O Agents with OpenAI Course teaches how to structure agents that make decisions based on prompts and context, without coding.

Advantages of LLMs for non-technical people

Advantages of LLMs for non-technical people

  • Access cutting-edge AI without having to code
  • Rapid testing of product ideas (MVPs)
  • Personalization of services with high perception of value
  • Optimization of internal processes with automations

LLMs and AI Agents: The Future of Interaction

The next evolutionary step is the combination of LLMs and AI agents. Agents are like “digital employees” that interpret contexts, talk to APIs and make decisions autonomously. If you want to learn how to build your agents with generative AI, the ideal path is AI Agent Manager Training.

We are living in an era where texts, images and videos can now be created by artificial intelligence. But there is one element that is gaining strength as a competitive advantage: the voice.

Whether in podcasts, institutional videos, tutorials or even automated service, the ability to create realistic artificial voice is changing how companies and creators communicate. And in this scenario, the ElevenLabs AI emerges as one of the global protagonists.

What is ElevenLabs
What is ElevenLabs AI? The AI-Powered Voice Revolution 10

What is ElevenLabs?

O ElevenLabs is one of the neural speech synthesizers most advanced on the market. With its technology AI voice cloning and AI-powered text to speech, allows you to create realistic voices in multiple languages, with natural intonation, dynamic pauses and surprising emotional nuances.

Key Features:

  • Human-quality Text to Speech
  • Conversational AI with support for interactive agents
  • Studio for longform audio editing
  • Speech to Text with high accuracy
  • Voice Cloning (Instant or Professional)
  • Sound Effects Generation (Text to Sound Effects)
  • Voice Design and Noise Isolation
  • Voice Library
  • Automatic dubbing in 29 languages
  • Robust API for automations with tools like N8N, Make, Zapier and custom integrations
ElevenLabs FAQ
What is ElevenLabs AI? The AI-Powered Voice Revolution 11

ElevenLabs FAQ

Find out more about the company and news from ElevenLabs directly at official website of ElevenLabs and see the API documentation.

Does ElevenLabs have an API?

Yes, ElevenLabs has a complete API that allows you to integrate speech generation with automated workflows.

With this, it is possible to create applications, service bots, or content tools with automated audio.

Discover the Make Course from NoCode Start Up to learn how to connect the ElevenLabs API with other tools.

Are ElevenLabs voices copyright free?

AI-generated voices can be used commercially, as long as you respect the platform's Terms of Use and do not violate third-party rights by cloning real voices without authorization.

Is it possible to use ElevenLabs for free?

Yes. ElevenLabs offers a free plan with 10,000 credits per month, which can be used to generate up to 10 minutes of premium quality audio or 15 minutes of conversation

This plan includes access to features like Text to Speech, Speech to Text, Studio, Automated Dubbing, API, and even Conversational AI with interactive agents.

Ideal for those who want to test the platform before investing in paid plans.

What is the best alternative to ElevenLabs?

Other options include Descript, Murf.ai and Play.ht. However, ElevenLabs has stood out for its natural voice, advanced audio editing features with AI, API integration and support for multiple languages.

Their paid plans start from US$ 5/month (Starter) with 30 thousand monthly credits, and go up to scalable corporate versions with multiple users and millions of credits.

See all available plans on the ElevenLabs website. However, ElevenLabs has stood out for the naturalness of its voice and the quality of its API.

How does ElevenLabs work?

You submit a text, choose a voice (or clone one), and AI converts that text into realistic audio in seconds. It can be used via the web dashboard or via API for automated workflows.

Examples of using ElevenLabs AI in practice

1. Video and podcast narration

Ideal for creators who want to save time or avoid the costs of professional voiceovers.

2. Automated service with human voice

Turn cold bots into realistic, empathetic voice assistants.

3. Generating tutorials and training with audio

Companies and CLT professionals can create more engaging internal materials.

4. Applications that “talk” to the user

With tools like Bubble, FlutterFlow or WebWeb, it is possible to integrate AI voice into apps.

How to integrate ElevenLabs with NoCode tools

NoCode tools
What is ElevenLabs AI? The AI-Powered Voice Revolution 12

N8N + ElevenLabs API

Allows you to automate voice generation based on dynamic data using visual workflows in N8N. It is ideal for creating processes such as audio customer service responses, automated voice updates, and more.

Discover the N8N Course from NoCode Start Up

OpenAI Agents + ElevenLabs

With the use of AI agents, it is possible to create voice-responsive systems, such as a virtual attendant that speaks to the customer based on a dynamic prompt.

See the Agents with OpenAI Course

Bubble/FlutterFlow + ElevenLabs

Use the API to insert audio into your apps with interaction triggers or dynamic events.

ElevenLabs and NoCode: Open the door to creating experiences with voice AI

AI-generated voice is already a powerful, accessible and potential-rich reality. ElevenLabs is not just a tool, but an engine for creating immersive, automated and more human experiences.

If you want to learn how to integrate these possibilities with NoCode and AI tools, NoCode Start Up has the ideal paths:

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

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

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

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

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

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

Access the training here

What is Included in the AI Agent Manager Course?

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

Topics covered:

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

When you sign up, you get:

  • 8 complete formations, including SaaS AI and technical courses from NoCodeStartUp;
  • Access to exclusive community, active and with direct support from instructors;
  • 1 year full access, including the Make paid plan;
  • NoCode Match, a hub of real opportunities in the AI and automation market.

Differences between AI Manager Training and Other Courses

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

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

Take advantage of the offer

What is the cost of the AI Manager Course and Access Conditions?

The promotional value of the training is R$ 1,497 in cash or in up to 12 installments of R$ 157.53 on the credit card.

  • Full access for 12 months
  • 7-day money-back guarantee
  • Updates included at no additional cost

FAQ: Main Questions About the AI Manager Course

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

How long do I have access?
You will have 1 year of access complete to the platform and updates.

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

I'm a PRO student. Do I already have access?
Yes. NoCodeStartUp PRO subscribers have unlimited access to the training.

What are the extra costs for tools?
The only initial cost for teaching purposes is US$ 5 to use OpenAI API.

How long will it take for me to see results?
In the first few days, you can create and test your first AI agent.

What do I get when I purchase?
Immediate access to all tracks, bonuses, community, templates, Masterclass and tools.

How to Become an AI Manager?

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

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

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

How Much Does an AI Manager Earn?

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

Which Course Should I Take to Work with AI?

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

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

Invest in Yourself: Become a Professional AI Manager

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

The AI Agent Manager Training provides a clear path, real support and applicable tools for you to work with AI in a professional manner.

It is applied learning with a total focus on solving real problems using artificial intelligence.

Access the AI Manager training now and start building a new future with AI.

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