Can you picture launching an online store without hiring programmers and data analysts? How about streamlining marketing efforts or customer service with artificial intelligence, all without a single data science specialist on your team? Until recently, this seemed like a far-fetched idea. However, thanks to AI advancements and the rise of no-code tools, the game has completely changed. While it’s crucial not to blindly adopt AI solutions, let’s closely examine how they, in partnership with no-code, can truly revolutionize your business. Read on to learn more.

What is no-code tool?

No-code refers to a range of programming platforms and analytical tools that allow for the quick creation of applications, websites, and the integration of advanced technologies like artificial intelligence or machine learning—all without having to write a single line of code.

Instead of getting into coding intricacies, these tools make use of user-friendly graphical interfaces where you simply drag and drop predefined elements. Users can easily arrange components like building blocks, connect them with provided links, and fine-tune the overall functionality by adjusting values in configuration windows.

No-code platforms radically simplify and speed up the software development process. They save time and money that would otherwise be spent on recruiting programmers and explaining the desired outcome to them. They are ideal for small and medium-sized enterprises looking to swiftly introduce technological innovations in their products and processes. By leveraging integrations with APIs of large language models, companies can easily implement AI innovations. The tools themselves also utilize generative artificial intelligence to facilitate user tasks.

AI innovations in no-code tools

No-code tools not only speed up the creation of websites and applications but also bring a true revolution by enabling small and medium-sized businesses to implement advanced technologies such as AI innovations, machine learning, or deep neural networks without involving expensive data science specialists.

Thanks to no-code platforms, even a small company can harness the potential of AI innovations to optimize various areas of its operations. For instance, it can implement a recommendation system in an online store that suggests products tailored to customers’ preferences. Such a solution can significantly increase the average basket value.

Another idea is to have a chatbot handling customer inquiries on social media. Its responses can be generated by artificial intelligence based on the analysis of previous conversations. This can save time for customer service staff.

Yet another option is a sentiment monitoring system on social media and internet forums. Using NLP models, a company can automatically categorize posts about itself and respond to reputation crises or unethical practices by employees.

What can be done in a company using no-code tools?

The possibilities of using no-code tools in businesses are immense:

  • rapid development of dedicated web and mobile applications tailored to the company’s needs. This could include the order processing system for field technicians, for example, optimization of business processes and workflows, such as automating invoice generation based on data from Excel,
  • creation of an internal analytics and KPI reporting system, powered by various data sources within the company, without the need to change existing tools and programs,
  • building chatbots and voicebots to assist customers or employees,
  • quick prototyping of new ideas and testing them in the market (creating Minimum Viable Products) without significant financial investment.

Generally speaking, no-code tools enable companies to experiment with technologies and introduce innovations in products, processes, and business models without incurring high development costs.

no-code tool

Source: DALL·E 3, prompt: Marta M. Kania (

Top no-code tools

On the market, there are many no-code platforms, each with slightly different applications. To find the best tool, you must first define business needs and goals. Below, we present a few of the most interesting categories of no-code tools.

No-code integration tools – Zapier and Make

Platforms like Zapier and Make (formerly Integromat) are primarily used for connecting functionalities of different applications and automating the flow of data between them using what is known as workflows.

Zapier is the most popular tool for building integrations between popular applications in the areas of team collaboration, customer relationship management (CRM), and e-commerce.

Zapier provides pre-built automation workflows known as “Zap Templates,” which can be customized to individual requirements. It facilitates the creation of AI innovations by seamlessly integrating with tools developed by OpenAI, the creators of ChatGPT. Through Zapier, you can, for instance:

  • automatically draft responses for emails received in your Gmail inbox,
  • generate images using DALL·E 3 through Slack during team meetings,
  • summarize notes, email threads, and discussions on Slack.

For individuals using ChatGPT Plus, there is also GPTs available, with which you can discuss the possibilities of Zapier (

On the other hand, Make (formerly Integromat) is an integration platform known for its user-friendly interface and free access for an unlimited amount of time. It allows users to connect over 1000 applications using scenarios in a visual editor.

The editor allows you to create integrations from scratch or use a variety of templates. This makes designing and modifying automation processes easier and helps efficiently manage workflows by quickly detecting and fixing errors.

no-code tool

Source: Make (

Creating no-code apps: Appgyver and Bubble

Appgyver and Bubble are currently the most popular tools for building fully-featured mobile and web applications without writing code.

Appgyver stands out because it allows you to create apps that run simultaneously on iOS, Android and web. It also has the advantage of being completely free for small businesses. This makes it ideal for quickly building a simple MVP app to test an idea in the early stages of development.

Bubble, on the other hand, is a paid solution, but offers much greater capabilities – it allows you to create very complex systems with advanced business logic, integrations with external systems or even your own user base. It can be considered a full-fledged alternative to traditional development.

no-code tool

Source: Bubble (

No-code backend – Airtable i Coda

These no-code tools focus primarily on the aspects of storing, processing, analyzing, and sharing data (backend) in an intuitive and flexible way.

Airtable blends the convenience of well-known spreadsheets with the functionality of traditional relational databases. It’s a tool that lets you transform business data and build interactive applications based on them. Airtable is particularly effective for small and medium-sized businesses.

Coda goes a step further by combining the functionality of spreadsheets, databases, and out-of-the-box business applications in one place. It’s a highly versatile tool that allows teams to collaborate on data analysis, decision making and process automation without leaving a single system. It can serve as the command center of a modern enterprise.

No-code frontend, or AppyPie and Google AppSheet

Unlike the backend categories discussed earlier, these platforms focus on the visual layer of the application – the so-called frontend. Their main task is to enable rapid development of attractive user interfaces.

Appy Pie offers a wide range of pre-designed, aesthetically pleasing components that fit together like LEGO bricks. It also allows them to be freely styled and branded. As a result, we are able to create great designs in a matter of moments with AI support.

Google AppSheet, on the other hand, is tightly integrated with other Google services, primarily with the popular Google Sheets. It lets you instantly turn Sheets content into interactive mobile apps. So it works great wherever a company already uses Sheets.

No-code machine learning for your company – MonkeyLearn and Teachable Machine

Finally, there are two very interesting tools that use machine learning and AI techniques to classify text or image data.

MonkeyLearn provides ready-to-use machine learning (ML) and natural language processing (NLP) models that can, for example, determine the sentiment of statements, categorize content, or extract specific information from text. It can be useful wherever an organization wants to automate the processes involved in analyzing large amounts of text.

Google’s Teachable Machine, on the other hand, allows you to easily build your own machine learning models that recognize images, sounds, or gestures without writing a single line of code. It can be a great tool for experimenting with image (computer vision) and speech recognition in specific business applications.


How do you get started with no-code and AI innovation in your company? Here are some practical tips:

  • start by defining the specific business problem you want to solve or the process you want to optimize,
  • choose the no-code tool that best fits your goals and your company’s financial capabilities. Don’t be afraid to experiment with different platforms,
  • start with small pilot projects that will have a real business impact. Quickly gather feedback from users and iterate on solutions,
  • think in terms of minimum viable product (MVP), rather than the perfect product right away.

No-code tools open up exciting possibilities for imaginative entrepreneurs and managers keen on harnessing the potential of emerging technologies. They make digital development attainable for businesses that may not have the resources to assemble a large team of programmers and data analysts.

no-code tool

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No-code tools and AI innovations - how to quickly implement them in your company? | AI in business #70 robert whitney avatar 1background

Author: Robert Whitney

JavaScript expert and instructor who coaches IT departments. His main goal is to up-level team productivity by teaching others how to effectively cooperate while coding.

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