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Lean startup: what is it and why is management simpler?

lean startup planning

Starting a business from scratch can seem very complex. Given the countless planning steps that are suggested, you may feel lost as to which guidance to follow.

But what if I told you that there was a simple way to start your own business?

The concept of lean startup emerges as an innovative approach that challenges traditional methods of business planning and development.

It's a way of create, test and release products and services through process optimization and focus on agile interactions with customers.

In this content, we will delve deeper into the characteristics of this model, presenting the fundamental pillars and the advantages offered to companies.

If you are interested in the subject, be sure to read this content in full.

What is it lean startup and what are its characteristics?

Lean can be translated as “lean”, so, in a free translation, lean startup is technology-based company with high scalability potential, but lean

Thus, while conventional models emphasize the elaboration of detailed plans, lean startup adopts a condensed approach, focused on hypotheses and experiments.

The method aims to reduce resource waste and deliver value to customers, from the beginning.

Continuous experimentation, iterative learning and constant adaptation are highly valued.

And unlike traditional approaches that often involve extensive planning and analysis before launch, lean startup believe in start small and evolve quickly.

What are the principles of Lean Startup?

Below, see the main aspects of this approach: 

What is a Lean Startup?
Lean startup: what is it and why is its management simpler? 4

MVP (Minimum Viable Product)

What is a product's MVP?
Lean startup: what is it and why is its management simpler? 5

The concept of MVP is essential for the proposed lean startup. Instead of spending months or years developing a complete product, companies create a minimum, viable version that contains only the essential features. 

This MVP is then released to the market to collect feedback customers and validate hypotheses. This not only saves resources but also allows the company to obtain insights valuable from the start.

With the use of tools no-code, it is possible to facilitate the construction of the MVP, as they offer greater agility and lower cost.

This saves time and resources to propose, develop and test projects in real time. 

Not afraid to start over

The methodology encourages companies to be agile enough to recognize when something is not working as planned.

If the data and feedback indicate that the product is not doing well or that there is a better opportunity, the company may make a significant change in strategy.

This may involve changes to the value proposition, target audience or even the business model.

Validated learning

Knowledge acquired through experiments and feedback real customers is highly valued. By validating this learning, companies can make more informed decisions and direct their resources more efficiently.

What are the three main pillars of Lean Startup?

Continue reading to learn the pillars of this methodology and its advantages for your startup!

To better understand how the lean startup, it is essential to understand its three fundamental pillars: 

  • customer development
  • agile development 
  • low-cost technology platform

These three elements interact collaboratively to create a framework that saves resources, accelerates innovation, and improves decision-making. Understand more about each of these pillars:

Customer development

The term means customer development In practice, it is based on a proactive relationship with the public, from the beginning of the process. 

In addition to simply listening to customers, lean startup, there is a concern to actively involve them in validating hypotheses and refining the product.

Some ways in which the customer development contributes to the success of the methodology include:

  • Validation of hypotheses: By interacting directly with customers, companies can certify or disprove their assumptions about market needs. This avoids building products that no one wants.
  • Feedback continuous: customers have valuable insight into the product, and its feedback helps shape renewals along the way. Continuously carrying out this process allows the company to better understand and meet market needs.
  • Building Relationships: Customer development focuses on building long-term relationships with customers, enabling loyalty.

Low-cost technology platform

It is considered a fundamental piece to support the methodologyean startup. This type of platform is aligned with the idea of eliminating waste and allocating resources effectively.

A practical example of this pillar is the use of cloud services, such as AWS, Azure or Google Cloud

Based on this pillar, companies evaluate operations as necessary, eliminating the need for large initial investments in infrastructure.

It is worth highlighting that the no-code language makes it possible to create applications and softwares more cheaply.

This is because it is easier and faster to create a functional product without the need to use code, work that is not restricted to professional developers and can be carried out by anyone interested in learning about the knowledge in the area.  

In this way, with the use of open source tools, it is possible to reduce the development costs of software. Process automation allows you to save time and resources.

Agile development

It is the third pillar of lean startup and complements the other two. Focuses on flexibility, adaptation and renewal during the development processthe.

This technique focuses on short cycles, when small parts of the product are developed and implemented. This allows the team to respond quickly to changes and feedback.

Priorities can change as new information emerges. Agile development allows the team to reevaluate and adjust their goals and tasks over time. That way, products are not considered “finished”.

Instead, are always evolvingo, as the team constantly looks for ways to improve them based on feedback customer and market needs.

The no-code tools can be allies in the process. After all, from them, there is greater agility for the development of softwares and applications that the company needs, which contributes to the desired improvement being carried out more quickly and also at a lower cost.

Lean startup advantages

What are the advantages of using the lean methodology?
Lean startup: what is it and why is its management simpler? 6

The methodology allows organizations to strike a balance between innovation and efficiency. This way, they gain advantages such as:

Greater connection with the customer

One of the fundamental principles of lean startup is to have the customer at the center of all decisions. This is not just a nice idea, it is a strategy that can be transformative for business. 

Collect  feedbacks is essential as many businesses fail due to the disconnect between what they think customers want and what they actually want.

When customers see that their opinions matter and that companies are committed to meeting their needs, it creates loyalty. 

Loyal customers not only buy again, but also become brand advocates, recommending it to others.

Better acceptance of products and services

The lean approach to lean startup allows the creation of essential products or services. This means that each element is carefully considered and any unnecessary components are eliminated. 

Eliminating unnecessary elements results in a more focused product or service. Customers appreciate simplicity and ease of use, which can lead to better market acceptance. 

Additionally, leaner products tend to be developed and delivered more quickly, allowing companies enter the market earlier.

Waste reduction

The lean approach eliminates waste time, money and other resources.

By focusing only on what is needed for the MVP and making data-driven decisions, companies reduce the likelihood of investing in directions that will not yield returns.

You resources are directed only to activities that add real value to the product or service. This prevents them from being wasted on projects that have no potential.

Simplified management

Through a focus on experimentation and continuous learning, the lean startup simplifies management. Decisions are based on feedbacks and real data, reducing dependence on uncertain forecasts. 

You may be wondering how to effectively implement these principles in your business and ensure simplified management. Here comes a powerful tool: O bubble.io.

O Bubble is a no-code platform that allows program alone create complete web applications and systems, without the need for prior programming knowledge. And best of all: the No-Code Startup offers a free Bubble course!

This course not only allows you to acquire valuable skills in using Bubble, but also provides a solid foundation for applying the principles of lean startup in your projects.

You will learn how to prototype, test ideas quickly, collect feedback customers and create solutions effectively – all without the need for coding.

Do not miss this opportunity! Find out more about how to create a successful startup!

org

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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

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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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