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How to Build a Chatbot: Your No-Code Guide

how to create a chatbot

Estimated reading time: 8 minutes

Want to create your own chatbot? You’ve made a smart choice! Chatbots are becoming a crucial tool for businesses, improving customer interactions, automating tasks, and boosting sales. And the best part?

Thanks to modern no-code platforms, creating a chatbot is accessible to everyone. So you don’t need coding skills, years of technical experience, or superpowers — just a little creativity and a clear goal.

Why create a chatbot for your website?

create a chatbot
How to Build a Chatbot: Your No-Code Guide 4

Chatbots are more than just a trendy accessory — they’re powerful tools that deliver real results. As a result, many companies are using chatbots to:

  • Speed up customer responses: Instant responses lead to greater customer satisfaction.
  • Handle multiple conversations at once: Chatbots can handle multiple queries simultaneously, reducing waiting times.
  • Increase sales by up to 67%: By interacting with customers, chatbots can lead to more conversions.
  • Create interactive and engaging websites: Chatbots add an element of interactivity that keeps users engaged for longer.
  • Improve mobile experiences: Mobile-optimized chatbots help users navigate and get answers on the go.
  • Recover abandoned shopping carts: Remind users about their forgotten purchases and encourage them to complete transactions.
  • Explore the future of conversational interfaces: As AI continues to evolve, chatbots will become even more integral to customer interactions.

For e-commerce businesses, chatbots are game-changers. After all, they can handle up to 69% of customer queries from start to finish, reducing the costs of customer service in 30% and improving the overall user experience.

What can your custom chatbot do?

By creating your own chatbot, you unlock a world of possibilities. Your bot can:

  • Trigger actions based on user behavior: for example, starting a conversation when a visitor lands on a specific page or adding items to a shopping cart.
  • Integrate seamlessly with your technology stack: Whether connecting to your CRM, email marketing, or social media platforms, chatbots offer endless integration opportunities.
  • Personalize customer experiences: Use customer data to personalize conversations and offer relevant recommendations.
  • Give you full control over your conversation flow: map every interaction and ensure your chatbot delivers exactly the experience you want.

It’s no wonder that interest in chatbots has skyrocketed recently. Businesses are recognizing their value, and so can you. But here’s the question: how do you actually build an AI-powered chatbot?

Building a Chatbot: AI vs. No-Code Platforms

If you’re thinking about building a machine learning-powered bot from scratch, it can be quite challenging. Natural Language Processing (NLP) and AI algorithms require significant resources, expertise, and data — something most companies don’t have readily available.

This is why using third-party chatbot platforms is a smarter and faster choice. Therefore, platforms like Dify, n8n or Supabase use large datasets of real conversations to help you build highly functional AI chatbots in minutes.

How to Create a Chatbot in 8 Simple Steps

create a chatbot 02 2
Chatbot messenger icons set with technical support symbols isometric isolated vector illustration

Here's a simple step-by-step guide to help you create your first chatbot with ease.

Step 1: Define the purpose of your chatbot

What is the primary purpose of your chatbot? Is it customer support, lead generation, or something else? Defining your chatbot’s role will help you shape its functionality and personality.

Questions to ask:

  • What are the most common questions my customers ask?
  • Should the bot automate certain processes, such as reservations or handling FAQs?
  • Do I need features like routing to human agents or saving abandoned carts?

Step 2: Choose where your chatbot will appear

Where do your customers interact most? Is it your website, Facebook, WhatsApp, or another platform? Make sure the chatbot platform you choose integrates well with these channels. Popular platforms: WordPress, Shopify, WhatsApp, Facebook Messenger, Instagram.

Step 3: Select a platform to build your chatbot

There are two main categories: AI frameworks and platforms. NoCode. Therefore, for most companies, a no-code platform is the best bet.

After all, it offers simple setup, pre-built templates, and all the functionality you need without the technical headaches.

Step 4: Create the conversation flow

This is where the fun begins! Use the visual editor provided by your platform to map out conversation paths. Set up triggers (e.g. a visitor lands on a certain page) and ultimately decide how the conversation progresses using decision trees, actions, and responses.

Step 5: Test, test, test

Before you go live, test your bot’s responses in different scenarios. After all, most platforms offer visualization features so you can see exactly how your bot interacts with users in real time.

Step 6: Train your bot with NLP (optional)

If you want your bot to understand natural language, you’ll need to feed it relevant data. So train it using common phrases, keywords, and customer queries to ensure it can accurately answer a wide range of questions.

Step 7: Collect feedback

After launching, don’t forget to collect user feedback. Use surveys or star ratings to evaluate your chatbot’s performance. After all, user feedback is a valuable resource for improving your bot over time.

Step 8: Analyze and optimize

Monitor your chatbot’s performance with analytics. Keep an eye on key metrics like user engagement, conversion rates, and drop-off points. Then, refine your chatbot’s flow and responses to continually improve the user experience.

Do's and Don'ts of Creating a Chatbot

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How to Build a Chatbot: Your No-Code Guide 5

Do:

  • Add personality: Give your chatbot a unique tone that aligns with your brand, whether it’s professional, fun, or casual.
  • Provide human assistance when needed: If a query is too complex for your bot, escalate it to a human agent for a smoother customer experience.
  • Keep it simple: Simple conversation flows are more effective and easier for users to follow.

Don't do:

  • Don’t let conversations reach dead ends: always provide options for users to get help or restart the conversation.
  • Don’t overcomplicate the bot: The more complex the flow, the harder it becomes for users to effectively engage. Keep it manageable and intuitive.

Creating a chatbot is easier with NoCode

Building a chatbot has never been easier, thanks to no-code platforms that eliminate the need for technical knowledge. So whether you’re looking to improve customer experience, streamline business processes, or increase sales, a chatbot can make all the difference.

So what are you waiting for? Come be a part of the MasterClass AI Agent Manager and learn more about the NoCode world!

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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.

Matheus Castelo

Known as “Castelo”, he discovered the power of No-Code when he created his first startup entirely without programming – and that changed everything. Inspired by this experience, he combined his passion for teaching with the No-Code universe, helping thousands of people create their own technologies. Recognized for his engaging teaching style, he was awarded Educator of the Year by the FlutterFlow tool and became an official Ambassador for the platform. Today, his focus is on creating applications, SaaS and AI agents using the best No-Code tools, empowering people to innovate without technical barriers.

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 9

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 10

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 11

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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