How to Create AI Tools (Beginners Guide)

Share this article

Are you looking for how to create AI tools using Streamlit?

In our article, we covered how to create AI tools using WordPress and ChatGPT, however, in this article, you will find out how to create AI tools using Streamlit.

Creating AI tools is akin to crafting modern magic—imbuing machines with the ability to learn, reason, and assist in solving complex problems. In a world where technology evolves rapidly, the development of artificial intelligence (AI) tools stands at the forefront of innovation, revolutionizing industries and enhancing human capabilities. But where does one begin in this journey of crafting intelligent systems?

This comprehensive guide will walk you through the fundamental steps and considerations in creating AI tools, demystifying the process and reasons why you to dive into the realm of artificial intelligence development.

Like any tool, an AI tool consists mainly of the UI (User interface) and the backend process, which basically generates “Something with AI.“

guide for beginners on how to create AI tools fast

To make things simple, let’s go with a practical, real example. Let’s Build an “AI Blog Title Generator Tool

The Basic AI Tool Workflow is as follows:

User Input: The starting point of any AI tool is the user input. For instance, in our example, the blog title generator tool, a user inputs a topic, e.g., digital marketing.

step by step guide for beginners on how to create AI tools fast

Then, the user input “topic” is inserted into a prompt like this one:

I want you to act as a professional blog titles generator. 
Think of titles that are seo optimized and attention-grabbing at the same time,
and will encourage people to click and read the blog post.
They should also be creative and clever.
Try to come up with titles that are unexpected and surprising.
Do not use titles that are too generic,or titles that have been used too many times before. I want to generate 10 titles maximum.
My blog post is is about {topic}
                                 
IMPORTANT: The output should be json array of 10 titles without field names. just the titles! Make Sure the JSON is valid.
                                                  
Example Output:
[
    "Title 1",
    "Title 2",
    "Title 3",
    "Title 4",
    "Title 5",
    "Title 6",
    "Title 7",
    "Title 8",
    "Title 9",
    "Title 10",
]

Then, this prompt will be sent to the OpenAI API or any other AI API, which will then generate relevant titles.

Finally, the generated response will go back to the user and be displayed in the UI.

But in order to build a UI based on that response, it must be in a structured JSON format.

Note that we are talking here about general AI tools and not complex tools that may have complex and advanced structure.

Hold on, before we continue, let’s quickly look at the challenges in building AI tools…

What are the challenges in creating AI tools

Developing AI tools presents a myriad of challenges, the foremost being the demand for copious amounts of data. AI systems thrive on data – the fuel that powers their learning and decision-making capabilities. Acquiring, organizing, and managing vast datasets can be a monumental task. Additionally, ensuring the quality, relevance, and diversity of the data is crucial for training effective AI models.

Another significant challenge lies in selecting the right algorithms and models. With a plethora of options available, choosing the most suitable approach for a particular task can be daunting. Each algorithm has its strengths and limitations, and selecting the wrong one can significantly impact the tool’s performance.

Moreover, the computational requirements for training and deploying AI models can be intensive. High computational power and resources are often needed, which can pose financial and infrastructure challenges, especially for smaller teams or organizations.

Ethical considerations and biases are also critical challenges in AI development. Ensuring that AI tools are fair, transparent, and free from biases requires careful attention. Moreover, addressing ethical concerns surrounding data privacy, security, and the responsible use of AI is paramount.

Lastly, the rapid evolution of AI technology means staying updated with the latest advancements and best practices is an ongoing challenge for developers, necessitating continuous learning and adaptation. Overcoming these challenges demands a blend of technical expertise, creativity, and a deep understanding of the ethical implications of AI development.

Why Consistency Matters?

  1. User Interface Integration: A consistent format in AI responses is crucial for seamless integration with user interfaces. Inconsistent responses can lead to unpredictable UI behavior, affecting user experience.
  2. Predictability in Output: Developers rely on predictability to ensure their tools function as intended. Varying response structures create a need for additional parsing and handling logic, increasing complexity.
  3. Scalability Issues: As tools evolve and more features are added, maintaining them becomes more challenging with inconsistent responses.

Causes of Inconsistency?

  1. Varied Prompts and Responses: Different prompts can lead AI models to generate responses in various formats. For example, asking for ‘five blog titles’ might return a list in one instance and a paragraph in another.
  2. Model Behavior: AI models, especially those based on machine learning, can exhibit non-deterministic behavior. The same prompt might yield slightly different responses upon repeated requests.
  3. Complexity of Natural Language: Natural language is inherently complex and nuanced. AI models sometimes interpret the same prompt in different ways, leading to varied responses.

Let me show you an example of inconsistent response…

Example of Inconsistent Responses

In one instance, a request for blog titles about ‘digital marketing’ might return a straightforward list. In another, the model might provide a more descriptive response, including explanations or additional information.

Try it yourself on ChatGPT, ask it to generate 5 blog titles multiple times, and look at the response!

How do we now solve inconsistent response?

Let’s talk about that next…

To solve this problem, we can employ techniques like function chaining, function calling, example output prompts, and some others.

I prepared a script for you; this script will handle this problem and help you get consistent results every time without worrying about the underlying code.

Open the Python script (app.py) in VSCode or any IDE you want. Just replace the fields and test!

how to create AI tools fast

Set the OpenAI API Key in the .env file here:

beginners on how to create AI tools fast

Just run the script with this command:

python app.py

You will see you will get consistent JSON every time you run the program.

guide on how to create AI tools user interface using streamlit

How to build user interface for your AI tool

Ok, let me share with you 2 simple methods to create a UI for your AI Tools. The two are:

  • Using ChatGPT and Streamlit
  • Using ChatGPT and WordPress

Using ChatGPT and Streamlit

What is Streamlit?

Streamlit is an open-source Python framework for rapidly creating web applications. It’s designed for developers looking to turn scripts into shareable web apps with minimal effort.

To make things simple for you and create the UI with Streamlit in seconds, I prepared a special Power Prompt that can transform almost any Python script into a Streamlit app!

The Prompt:

Act as an expert Python programmer specialized in building user-friendly UIs using Streamlit.
Create a Streamlit UI for the provided script. Make sure to comment all the code to enhance understanding, particularly for beginners. Choose the most suitable controls for the given script and aim for a professional, user-friendly interface.
The target audience is beginners who are looking to understand how to create user interfaces with Streamlit. The style of the response should be educational and thorough. Given the instructional nature, comments should be used extensively in the code to provide context and explanations.
Output:
Provide the optimized Streamlit UI code, segmented by comments explaining each part of the code for better understanding.
Input:
Provided script: {your input script}

Use ChatGPT and replace the input with our tool script. And see the Magic!

ChatGPT will create the full Streamlit code with you and explain every step.

I designed it to help beginners get started easily and understand what is going on.

So, in our project, create a new script, let’s name it “ui.py” and paste the generated code.

guide on how to create AI tools fast

To run the Streamlit app, run the following command:

streamlit run ui.py 

Wait for seconds, and you will see your AI app up and running in your browser.

 how to create AI tools fast

You can start building AI Tools with strealit and sell as a freelance Gig or service. it is a new niche.. a New Oppurtinity!

The Second simple way to build UI is using WordPress.

We have covered how to create AI tools using ChatGPT and WordPress. Let’s move on how to optimize AI tools.

Also check out: How to reduce spam score of website to 1%

How to optimize AI tools

Optimizing AI tools involves several steps to enhance their performance, efficiency, and effectiveness. Here are some strategies you can consider:

  1. Data Quality and Quantity: Ensure high-quality and diverse data. More data helps in training robust models, but it’s crucial to maintain data quality to avoid biases and inaccuracies.
  2. Feature Selection: Identify and select the most relevant features that contribute significantly to the model’s performance. This helps in reducing complexity and improving accuracy.
  3. Algorithm Selection: Choose algorithms or models that suit the specific problem you’re addressing. Experiment with different models and algorithms to find the one that fits your requirements best.
  4. Hyperparameter Tuning: Optimize model performance by tuning hyperparameters. Techniques like grid search, random search, or Bayesian optimization can help find the best combination of hyperparameters.
  5. Regular Model Evaluation: Continuously evaluate model performance using relevant metrics. This helps in identifying weaknesses and areas for improvement.
  6. Model Compression: For deployment on resource-constrained environments, consider compressing models without significant loss in performance. Techniques like quantization, pruning, or knowledge distillation can be employed.
  7. Hardware Optimization: Tailor the AI tool to work efficiently on specific hardware. Utilize hardware accelerators like GPUs, TPUs, or specialized chips for AI tasks to speed up processing.
  8. Parallel Processing: Implement techniques like distributed computing or parallel processing to handle large datasets and computations more efficiently.
  9. Automated Machine Learning (AutoML): Leverage AutoML tools to automate the process of model selection, hyperparameter tuning, and feature engineering. This can save time and improve model performance.
  10. Continuous Improvement: Keep the AI tool updated and evolve it with new data, techniques, and advancements in AI technology. Regularly retrain models to adapt to changing patterns and trends in the data.

Remember, the optimization process might vary based on the specific AI tool, its application, and the available resources. Experimentation, iteration, and a solid understanding of the problem domain are key to optimizing AI tools effectively.

Reasons for creating online tools

You may be wondering about the reasons why we need to create online tools.

Creating online tools can significantly benefit a blog/website owner in several ways, elevating the blog’s engagement, utility, and overall value. Here are some compelling reasons why a blog owner should consider developing online tools:

Creating online tools can significantly benefit a blog owner in several ways, elevating the blog’s engagement, utility, and overall value. Here are some compelling reasons why a blog owner should consider developing online tools:

1. Enhanced User Engagement

Tools provide an interactive experience for visitors, encouraging them to spend more time on the blog. Interactive elements, like calculators, quizzes, or generators such as backlink generator tools, can make the content more engaging and memorable.

2. Differentiation and Authority

Unique tools set a blog apart, positioning it as an authority in its niche. Offering specialized tools can attract a dedicated audience seeking specific solutions or information, enhancing the blog’s credibility.

3. Increased Web Traffic and Visibility

Valuable tools can attract new visitors through search engines and social media sharing. When users find tools useful, they’re likely to share them, thereby broadening the blog’s reach.

4. Building a Community

Tools that foster collaboration or interaction among users can create a sense of community around the blog. Comment sections or forums within tools can encourage discussions and shared experiences among visitors.

5. Monetization Opportunities

Well-designed tools can be monetized through ads, subscriptions, or premium versions. They can serve as a gateway to other paid services or products offered by the blog owner.

6. Data Collection and Insights

Tools can be used to gather user data, providing insights into audience preferences and behaviors. Analytics from these tools can inform content strategy and future tool development.

7. Addressing Audience Needs

Tools cater to specific needs or problems of the target audience, demonstrating the blog owner’s understanding and commitment to solving their challenges.

8. Long-Term Value and Sustainability

High-quality tools can have lasting value, continuing to attract users and engagement over time. Regular updates and improvements to existing tools can maintain relevance and sustain interest in the blog.

9. Marketing and Branding

Effective tools can serve as powerful marketing assets, promoting the blog and its brand. They can contribute to positive word-of-mouth marketing, attracting new visitors through recommendations.

10. Adaptability and Innovation

Continuously developing tools showcases the blog owner’s adaptability to evolving trends and technologies. It fosters an innovative image, encouraging users to return for new, cutting-edge tools and content.

Creating online tools complements a blog’s content strategy by enhancing user engagement, establishing authority, and providing value to the audience. It contributes to growth, monetization, and the overall success of the blog in a competitive online lands


Share this article
Emmanuel David

I am the fountainhead of Deluxepreneur. With 7 years of experience, I love to write informative articles on careers, celebrity net worths and also step-by-step guides to our readers. Feel free to contact me if you have any inquiries.

Leave a Comment