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What is MVP and why is it important for your startup?

what is mvp

Você já teve uma ideia brilhante que poderia revolucionar sua área de atuação, mas se viu sem saber como transformá-la em realidade, sem gastar rios de dinheiro e recursos?

O MVPMinimum Viable Product – is a strategy that can completely change the way you develop products and drive your startup. 

O MVP é a versão mais simplificada de um produto ou parte dele, criada com o mínimo de recursos possível.

Essa versão busca entregar a essência da ideia e sua principal proposta de valor, com o objetivo de validar if the idea is really interesting and if it is worth investing more resources in it.

In this article, we will explore the meaning and importance of MVP for your startup. For those who want make money online, knowing this method is essential. 

Keep reading to understand better and start implementing this strategy in your startup today! 

What is MVP? 

MVP is the acronym for Minimum Viable Product in English and means Minimum Viable Product in Portuguese.

Como o nome diz, essa é uma prática que consiste em criar uma versão teste do produto, apenas com as mínimas funcionalidades necessárias para que ele cumpra sua função.

A partir desse teste, é possível observar na prática a product efficiency, usability and market acceptance

It also makes it possible to compare the competition, obtaining partnerships and attracting investors.

Caso o produto seja bem-sucedido nessa etapa, ele volta a ser desenvolvido e aprimorado para chegar ao mercado oficialmente. 

Now, think for a moment: How many times have you had an idea that seemed incredible, but when it was put into practice, it didn't generate the expected return? This is exactly what the MVP seeks to avoid. 

Instead of spending months or even years developing a complete product, you create an MVP to test the market, collect real user feedback, and make adjustments as needed.

Quais são os tipos de MVP mais utilizados?

Quais sao os tipos de MVP
O que é MVP e por que ele é importante para sua startup? 3

There are several types of MVP, each with its specific characteristics and approaches. Let's explore some of the best known:

Prototype

The MVP Prototype is often used for physical products, por exemplo: smartphones, automóveis, eletroeletrônicos, entre outros.

Nessa aplicação, cria-se uma versão simplificada do produto, que pode ser um exemplar real ou simulado, a ser submetida aos testes dos usuários. 

This type of MVP is ideal for obtaining detailed feedback on user interaction with the product.

Double

Already the MVP Double consists of creating two similar versions of the product, are tested simultaneously using the A/B methodology

This approach allows you to compare results and choose the version that best meets users' needs, helping to optimize investment.

Smoke

In turn, the MVP Smoke It is done with the intention of evaluating the interest of potential customers in the product or service. It is possible to put this strategy into practice through a landing page, for example. 

Nesse espaço, a empresa pode falar sobre seus conceitos e funcionamentos e estimular o interesse dos usuários.

A partir dessa interação, pode-se medir the page conversion rate and have a more realistic idea about the product.

Wizard of Oz

At MVP Wizard of Oz, customers interact with a simulated product interface, believing they are using an automated solution. However, behind the scenes, actions are performed manually. 

This type of MVP allows you to test the viability of the idea, without the need to develop a completely automated solution.

Concierge

The MVP Concierge is a strategy in which the entrepreneur himself performs the service manually, offering personalized attention to customers. 

Although it is limited in scalability, it is great for validate demand and understand user needs directly.

What is the best type of MVP? 

To answer this question, first of all, one must analyze the resources that the project has. Each type of MVP has different requirements, and this must be taken into account. 

The second item to be analyzed must be the product or service being tested. Por exemplo, se você está desenvolvendo um automóvel, é essencial realizar um teste de protótipo.

Mas, caso esteja elaborando uma rede social, o MVP Mágico de OZ pode ser exatamente o que você precisa.

Below we will guide you step by step when putting the MVP into practice! 

Woman programming MVP
O que é MVP e por que ele é importante para sua startup? 4

Como elaborar um MVP?

Now that you understand the types of MVP, let's explore the process of creating an effective MVP. See the step by step:

Identify the problem

The first step to creating a successful MVP is to clearly identify the problem your product will solve. Understanding the pains and needs of your target audience is crucial.

Therefore, focus on these two steps: 

  • Understanding pain and needs: analyze the market and identify the difficulties your audience faces. This will ensure your MVP meets real demand.
  • Defining personas: create ideal customers that represent your target audience. Go beyond demographics and explore the specific problems they face.

Don't hesitate to dedicate a lot of time to this initial step, as it is what will dictate the quality of your service and what needs to be analyzed in each test. 

Analyze the competition

Before proceeding, it is important to understand the competitive landscape in which your product will be launched. So, study competitors offering similar solutions.

Identify your strengths, weaknesses and market approaches and how you can best address each of these points. 

Identify gaps in competitor offerings. What can your product offer that is unique and best? 

Idealize the product

Agora que você compreendeu o problema, é hora de idealizar como seu produto resolverá essa demanda de forma inovadora.

Nesse momento, é importante especificar as características e funcionalidades do produto e determinar como ele atenderá às necessidades das personas. 

Also, it is necessary to establish the value proposition of the product. Ask yourself: How does it differentiate itself from the competition? Why would personas choose your product?

Consider demand

Avaliar a demanda pelo seu produto é essencial para garantir que seu MVP tenha potencial de aceitação.

Portanto, realize acceptance tests such as surveys and surveys to assess market receptivity to your product concept. 

Furthermore, create landing pages or use other strategies to capture leads and assess people's real interest.

Use programming in code

In the MVP development stage, you can explore the advantages of no-code tools, which offer a visual and simplified approach to creating applications and softwares. 

Essas ferramentas permitem que você desenvolva protótipos e produtos funcionais sem a necessidade de conhecimento profundo em programação.

Aqui estão algumas vantagens das ferramentas no-code aplicadas ao processo de criação de MVP:

  • Rapid development;
  • Iterative prototyping;
  • Cost reduction;
  • Greater autonomy;
  • Data integration;
  • Concept validation;
  • Design flexibility.

Some of the no-code tools available include Webflow, WordPress, Bubble, Bildr, Soft, AppGyver, FlutterFlow, Glide, Xano, Airtable, Zapier and Make.

Find out what the code is by clicking here.

Build, test and improve

With the MVP ready, develop it as planned, keeping it simple and focused on solving the problem. Conduct rigorous testing with an initial group of users, collect and evaluate feedback

Based on user feedback, make improvements to the MVP, adding necessary features and adjusting weaknesses. 

By following these steps, from problem identification to continuous iteration, you will build a solid MVP, paving the path to a successful and competitive product.

Importance of MVP for startups

Now that you understand how to create and develop an MVP, you can understand why it is so important to ensuring the success of any startup. 

MVP allows you to test your idea in the real market before investing significant resources. This process avoids unnecessary spending on products that may not meet users' needs. 

Plus, with an MVP in hand, you can collect feedback direto dos usuários, identificando pontos fortes, fraquezas e oportunidades de melhoria.

Isso orienta o desenvolvimento futuro, garantindo que sua solução evolua de maneira alinhada com as expectativas dos clientes.

So, if you are about to launch a startup or develop a new product, MVP is your ideal path. 

Start right now

To put the development of an MVP into practice, you can count on No-Code Startup's free courses!

As FlutterFlow course, você aprende a construir aplicativos para iOS e Android, sem a necessidade de escrever código.

É uma ótima maneira de aplicar um MVP Mágico de Oz, por exemplo. Nenhum conhecimento prévio é exigido e todas as aulas estão disponíveis gratuitamente.

Now, if you prefer to master the creation of softwares and web applications to implement your MVP, the bubble course destaca-se como a melhor escolha.

Além de ser gratuito, ele oferece o embasamento necessário para iniciar seus estudos na área de programação.

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

Neto Camarano

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

Also visit our Youtube channel

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

More Articles from No-Code Start-Up:

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 8

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 9

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 10

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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