How To Create Your Own AI Tool: A Guide

  • May 4, 2023

  • AI

If you’re considering implementing AI technology into your business practices, you aren’t alone. 

According to IBM’s Global AI Adoption Index, 35% of companies use AI systems regularly, and a further 42% are currently ‘exploring’ AI and its potential uses.

Thanks to the introduction of systems such as ChatGPT, these figures will rise considerably over the next few months until using AI tools becomes as commonplace as any other form of business software.

This also means that many businesses are considering building ai systems and tools of their own to create tools that are tailored directly to their needs.

What is AI?

For decades, AI (Artificial Intelligence) seemed like something that belonged in sci-fi movies and books.

However, technological advancements mean that this form of computer science is becoming more and more commonplace in both our personal and professional lives.

AI is often described as the simulation of human intelligence in machines that are programmed to function in the same way in which the human brain works.

It is a form of machine learning which works by creating software that mimics repeatable behaviors and patterns based on pre-existing or collected data.

This method is an example of neural networks in action.

What can AI technology be used for? 

You can use AI technology for a variety of different purposes within your business, such as: 

  • Creating compelling advertisements and social media posts
  • Producing blogs and web copy 
  • Generating images, videos, and audio. 
  • Formulating responses to customer emails
  • Creating content that is favored by search engine algorithms

What are the benefits of using AI tools?

There are many benefits associated with using AI tools within a business context.

For example, AI technology can save you (and your team) a great deal of time and energy.

This is because it can be used to automate or significantly increase the speed at which you create a variety of content or actions.

For example, writing a blog post for your brand could usually take up a few hours of your time, especially if it requires a bit of research ahead of time.

However, with AI tools, you can curate blog posts that are not only detailed but SEO-optimised and written in your brand’s unique voice in just a few minutes.

There are various other ways in which you can use an ai platform to your advantage.

For example, you could use AI powered tools to draft important emails or letters, such as replies to angry emails from customers.

How to Create AI tools.

How to Create AI tools

Photo by Jexo on Unsplash

Do some research.

The first step toward creating AI software for use in your business is basic research.

You have to gain a thorough understanding of exactly what these tools are and how they work

You must also decide which kind of AI tool you’d like to create based on its intended purpose.

For example, AI tools designed for content creation are a little different than those used for research or coding purposes.

Gather Data.

As discussed above, AI tools work by using pre-existing data to generate new content or mimic certain behaviors.

As a result, the process of gathering and inputting data is particularly integral to the success (and overall capabilities) of the artificial intelligence tool you create.

Simply put, the more data you gather, the easier it will be to put data analytics to work.

Data is typically split into two categories by AI software, known as structured and unstructured data.

Structured Data refers to any data that appears in a ‘standardized format’ that you would usually be able to find in a typical database or spreadsheet.

It includes things such as names, email addresses, phone numbers, product prices, and more.

Unstructured data refers to any data that does not follow a clear or pre-defined pattern.

This could include ‘rich’ media such as photographs, videos, and audio content.

Generate Algorithms.

Once you have gathered the relevant training data, it’s time to create the necessary algorithms.

If you are unfamiliar with the concept, algorithms are a set of ‘instructions’ that help artificial intelligence tools ‘learn’ from the data before them so that they can use this data to generate new content.

There are two different ways in which you can create computer algorithms for an AI system, and they are known as supervised and unsupervised learning.

Supervised learning is when a member of your team, such as a data scientist, inputs the data manually to ‘teach’ the AI software how to produce certain results.

There are several supervised learning algorithms to choose from, and you may benefit from using a combination of them.

This includes:

Unsupervised learning is a deep learning process through which the algorithm works to reduce variables and find relationships between objects.

For example, this could include clustering, which involves clustering, when new data is paired with old data that shares similar attributes and qualities.

Once you have begun to train your algorithms, it’s time to choose an AI platform.

Again, there are many different kinds of AI platform to consider here, depending on your preferences.

The most popular platforms include Google Cloud Prediction API, Microsoft Azure Machine Learning, and Amazon Machine Learning.

Choose a programming language.

Programming languages refer to the vocabulary and grammatical rules that are used to instruct the system to perform specific tasks.

Unsurprisingly, there are many programming languages to choose from when you work to create AI software.

The most popular programming languages include:

  • Python
  • JavaScript
  • C++
  • Prolog
  • Scala
  • Haskell

Python is perhaps the easiest to use when it comes to programming language, as it’s considered one of the most straightforward forms of natural language processing.

Furthermore, Python uses sentiment analysis, which means it’s able to identify the emotional tone within a text, as opposed to identifying information alone.

Test your AI model and AI capabilities.

Once you have worked with data scientists to complete the above steps, your AI software is ready to be deployed.

However, you should ensure that it is tested thoroughly during the software development phase before you begin to use it.

This way, you can ensure you have built a sound AI system that you can trust.

During this time, you should test the model accuracy of your AI solution.

Model accuracy refers to the number of actions that your system completes correctly.

Examples of artificial intelligence tools.

Examples of artificial intelligence tools

Before you build an AI system, you must have an idea in mind of what you’d like the software to do.

Ideally, it should help you to remedy a pain point or issue within your business.

For example, if you struggle with content curation and generation, you could center your AI project around this issue.

However, it’s also important to note that there are already many pre-existing AI based systems that you can use to your advantage, meaning you may not need to create a tool of your own.

Furthermore, as these AI powered systems have already undergone a rigorous testing process, they are ready for implementation right away and have all of the technical details already ironed out.

For example, at Optimo, we have a variety of AI tools that are designed to help users create valuable content for their brands without having to create ai software of their own.



This includes:


You can use Optimo to generate a wide variety of digital advertisements for your brand, such as:

These tools can also be used to help with product or service listings, as you can use our match-type generator to identify new keywords.

Alternatively, you could input your niche or industry into our audience builder, which will help you identify the key interests of your target audience, which you can then use to target your advertisements and increase your customer base.

Social Media.

Our Ai platforms can also be useful when it comes to social media content curation, whether you are trying to write a compelling Instagram caption or twitter post.

This tool can also be used more broadly to come up with ideas on what to post on social media based on your industry or niche and the content users are currently searching for.

You may find this particularly useful when creating Instagram Reels, as they are a great way to drive your digital engagement and connect with your followers.


More generally, AI tools can be used for a range of copywriting purposes, whether that be generating blog posts, product descriptions or simply as a way to make your pre-existing posts seem more engaging or exciting.

For example, while you may have already compiled an interesting blog, a boring title that is not SEO-optimized could lead to a lack of engagement, but this can easily be remedied by using a blog post title generator.

Furthermore, as AI tools gradually become more intelligent and capable, they can also be used for proofreading.

Not only can they identify errors that may previously have gone unnoticed by the human eye, they can also suggest changes that will improve the quality of the copy you produce.

You can also use AI tools within your email marketing campaigns, especially if you are trying to create a subject line that will encourage recipients to open the email as opposed to leaving it to gather dust in their inbox.


As mentioned above, artificial intelligence software can also be used to ensure that your digital content is SEO-friendly (search engine optimized).

For example, you could use these tools to carry out basic keyword research, so you know which words or phrases to include in your content to generate excellent engagement.

Alternatively, they could provide you with a range of link-building ideas, which can once again help your posts rank higher on search engines such as Google and Yahoo.


If you are looking to create a compelling video to advertise your products or introduce new customers to your brand, you can use AI technologies to create a video script or to create more compelling titles for your YouTube Videos using ‘click-bait’ methodologies.

Final Thoughts.

As it’s clear that artificial intelligence is swiftly becoming a key component within just about every industry, it’s important that business owners are able to stay ahead of the curve and use this technology to their advantage.

Furthermore, thanks to technological advancements, the process of creating an AI tool for your business is not as complex as one might imagine, you must simply:

  • Carry out some research
  • Gather Data
  • Generate machine learning algorithms
  • Choose a program
  • Choose a programming language
  • Test and deploy

While the above guide is useful when it comes to creating personalized AI tools that can be used within your daily operations, it’s also important to note that there is a wealth of pre-existing resources and AI software that you can rely on to get the job done.

For example, at Optimo, we can assist you with everything from copywriting to generating marketing campaign ideas. Even better? Optimo is completely free to use.

Either way, using ai computer systems will revolutionize your business.

Not only will it ensure that you remain at the cutting edge of technology and evolution, but it will also save you a great deal of time and energy when it comes to various business tasks and duties.

This can help protect your staff from burnout while ensuring that efficiency and productivity remain at an all-time high.

In short, it could be a tool through which you take your business to the next level.

If you’d like to find out more about Optimo or how our ai solutions can be used within your business, please do not hesitate to get in touch today.

Our team of experienced and friendly data engineers and software engineers will be happy to answer any questions you may have.

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Copyright © 2023 Optimo. All rights reserved.