AI Archives - Page 3 of 5

Introduction to AI Prompt Engineering for Midjourney

Posted on July 7, 2023August 30, 2023 by mkoftielieva

AI tools blew up the internet and changed our world almost overnight. However, one thing that most users learn just as fast is that AI prompt engineering is a challenging task. You can ask ChatGPT almost anything, and it will understand and offer some answers. But if you want to make AI generate a specific type of complicated text, you’re in for a struggle. It’s even harder when generating images, even with an AI platform as advanced and ‘experienced’ as Midjourney.

Devtorium teams are actively exploring the capabilities of artificial intelligence technologies. As part of this project, our UI/UX designers tested Midjourney thoroughly to understand the limits of this AI service and find the best ways to apply it in their work. Today, they share some insights about AI prompt engineering that they managed to get while studying AI-powered image generation platforms.

Before AI Prompt Engineering: How to Start Using Midjourney

Using Midjourney is quite simple, but it’s not as straightforward as simply downloading an app and entering a prompt. First of all, you need to have a Discord account. Once you set that up, you’re going to use Discord to access Midjourney. Start by joining its channel.

Midjourney takes care of its users by offering a very detailed and easy-to-understand set of docs. There you’ll find step-by-step instructions on how to:

Set up and use a Discord account
Join the Midjourney community
Generate images using commands
Learn various commands and parameters
Subscribe and manage your subscription
Upscale generated images

If you are having any issues, the community of Midjourney users is vast and quite friendly. Therefore, you should be able to get answers to any question fast.

At the moment, a monthly subscription to Midjourney costs $10 for a Basic Plan, $30 for Standard, and $60 for Pro. You can cut the cost when buying an annual subscription. Also, remember that the platform subscription will run out faster depending on the number of images you generate. Therefore, mastering the art of AI prompt generation will actually save you money as you’ll get accurate images faster.

AI Prompt Engineering Tips for Midjourney

Now that you’ve set everything up, it’s time to generate images. So, you enter the command /imagine and enter your prompt. That’s where the fun starts because the prompt’s detail level and word order define the image you get. Note that the order of words and modifiers in the description matters quite a bit. So, if you want to be understood by AI, you must learn to speak its language.

That said, regardless of how advanced or well-structured your prompt is, you will always get an image. Moreover, the prompt structure isn’t fixed. It means that even if you switch some parts around, you’ll be able to get a beautiful and accurate image. However, as the Devtorium design team discovered, some structures just work better.

Here’s what they suggest using as a standard reference:

[Scene description]. [Modifiers], [Artist or style inspiration], [Technical specifications]

Now, let’s look at those parts and how to make the most out of this formula.

Scene Description

That one’s relatively easy. Your first step in AI prompt engineering is to make a short description of exactly what you want to see. For example, if you want to generate an image featuring pancakes dusted with sugar and surrounded by blueberries with a white background, that’s your scene description.

The most important thing to remember here is that when generating an image, start with a general description, adding specific details after it.

When generating an image with Midjourney, always start with a general description. Then, add details to make it more specific.

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Modifiers

In essence, modifiers are the specifications that explain the machine what you want to achieve. It means that they are the most crucial element during AI prompt engineering. Your selection of modifiers will define the details of your image, so be precise but not overly descriptive.

Here are some general tips specific to Midjourney modifiers:

Put the words in brackets () if you want the AI to pay more attention to this specific detail. You can also use double brackets (()) to highlight the most important elements that AI must pay attention to.
Use modifiers to describe important image details such as lighting, style, mood, or specific image elements.
You can use a structure modifier:1.4 to draw the attention of AI to a specific element. It means that the machine will process it with a 140% value instead of all other words with a default value of 100%.

Types of Modifiers for AI Prompt Engineering

Type of art: digital painting, watercolor, concept art, portrait, full body, etc.
Style: epic realistic, fantasy, intricate, vivid, harmonious, lifelike, fantastic grotesque, architectural, balanced, cinematic, hyperrealistic, sophisticated, etc.
Lighting: warm lights, cinematic lighting, iridescent gold, dramatic lighting, dark, etc.
Detail complexity: intricate detail, photorealistic, realistic, emphasis on detail, etc.
Background description: complex background, color background, flowering landscape, etc.
Character description: appearance details (hairstyle, coloring, etc.), character action or pose.
Visual effects: art styles (oil painting, charcoal, etc.), photography style (bokeh, Adobe Lightroom, Photolab, etc.), 3D effects (Unreal Engine, Volumetric DTX, etc.), general (medieval, muted colors, pastels, impressionism, Bauhaus cubism, etc.)
Technical specifications: micro-details, 4K UHD image, RAW photo, extremely detailed CG Unity 8K wallpaper, etc.

Artist or Style Inspiration

This is also a type of modifier for AI prompt engineering. However, adding this specific element will affect the image greatly, so we thought it deserves a separate mention. Simply put, you can make Midjourney generate an image that will imitate your chosen artist’s style in great detail.

AI’s database is extensive so it can do equally good similes of classical painters and contemporary digital artists.

When you select an art style for this modifier, AI will use the works of top artists in this niche as a reference.

How to Learn AI Prompt Engineering from AI

As this topic is trending today, you can find an AI prompt engineering course on almost any education platform. However, the best way to learn is to ask AI itself. It’s easy to do when generating images through Midjourney because it has a command /describe.

When you use this command, you upload an image onto the platform, and AI will describe it for you. Studying the word patterns it uses will allow you to understand the way AI thinks. So, you can use such descriptions as a reference when making your own prompts.

However, you need to remember that artificial intelligence technology is only in the early stages of development. Therefore, if you use the same prompt that AI generates through /describe, you might get some very fun results.

AI Prompt Engineering Limitations: Why We Still Need Human Designers

AI tech available to every user today can do some incredible things. However, it doesn’t mean that designers and artists will be out of work soon. In fact, knowing how well they work with AI is now one of the qualities of a reliable UI/UX design company. This technology is developing fast, but it has quite a few limitations. Starting to work on AI prompt engineering makes them very clear.

First of all, there are quite a few things that AI doesn’t understand. Nuances of meanings and personalized speech patterns are beyond it.

Simply put, if you take two people and have them describe the same image, they might give you two very different texts. It’s because we are guided by our perception, which is defined by our own experiences. So, where one person sees a stunning mountain landscape, someone else might see a desolate clump of rocks.

AI takes all prompts quite literally, so sometimes it’s very hard to make it generate exactly the type of image you want.

Moreover, artificial intelligence struggles with the negatives. So, your number one tip for AI prompt engineering is to never use exclusions. For example, avoid saying ‘the man doesn’t have an arm’. Instead, choose ‘a one-armed man’.

This limitation in understanding human speech is also the reason why prompts must be structured. When we describe something, we are mostly driven by emotions. However, AI always uses logic and math. The order of words you choose will affect how important it considers the details you list. It’s truly that simple.

However, as Devtorium designers commented while working on AI prompt engineering for Midjourney, the model learns extremely fast. So, we might all live to see when it becomes advanced enough to understand and translate into code even the most complex human emotions and fantasies.

What Are Data Science Services?

Posted on May 26, 2023August 30, 2023 by mkoftielieva

Data rules the world today, and data science services can be a true game-changer for any business. However, few business owners realize the potential and versatility of data science as a service. It’s regrettable, especially for SMBs and startups, which can benefit tremendously from the insight derived from big data.

Today we’ll try to remedy this situation and expand on the subject of why now is the time for data analytics. We’ll start by explaining how some basic data science consulting services can help businesses thrive in competitive and volatile markets.

Data Science Services Explained

Data Mining, Processing & Visualization

The first among data analytics consulting services is data mining. Simply put, the team will find a way to extract all the information you require from any source. This type of service is highly versatile because the type of data that businesses need to process might vary considerably. For example, in one of our cases, data scientists had to develop a method and solution to extract patient information from multiple sources, including healthcare system records and even doctors’ handwritten notes.

Then, the collected data will be translated into some universal format and processed. Depending on the volume, the team might require substantial resources to complete these tasks. Using the help of NLP (Natural Language Processing) tools is quite common when processing and analyzing data.

Data science visualization services allow the client to get the data presented in a manner they can easily use for business. For example, an eCommerce business can get detailed reports on sales dynamics during a specific period. Based on this report, the client will be able to understand exactly how people choose to spend money on their website. Therefore, they will be able to come up with more efficient offers to boost sales.

Predictive Analytics, Forecasting, Risk Management & Optimization

Big Data analytics is a type of service that can benefit any business because it’s your way to get information about the market. Therefore, it enables you to make well-informed decisions that will provide better results.

Data science services allow you to use the tremendous storage of valuable insights that is the Big Data to make accurate predictions to build your business strategy. Predictive analytics works by building NLP models that analyze specific types of situations on the market, identify patterns, and make forecasts based on them.

Data science services that involve forecasting can provide a highly accurate future development model. For a business, such prediction can help reduce risks and prepare for those that are unavailable. In addition, predictive data analytics models can be used as a strong argument for investors.

Another way to implement data science services is to have the team provide an optimization plan for your business. Then, they will use a combination of data mining, processing, analysis, and forecasting to develop a set of custom-tailored recommendations for your business.

The best thing is that such recommendations are based on actual data and existing patterns. Therefore, your company won’t waste money on changes that won’t have a positive impact in the long run. When you rely on data science services, all results are based on hard evidence, so risks are minimal.

NLP, Computer Vision, AI & Machine Learning

Are you wondering how exactly data scientists do the analytics and prediction part of their work? The answer is they use AI to assist them in these processes. The exact technology they use varies based on the task. For example, a data science team can build a very primitive NLP model to ‘mine’ information matching specific parameters from a particular database.

However, they can also use the same technology on a grander scale to build a more complicated model to analyze specific patterns, like market growth trends. Then, another model will process that data and make a forecast based on those patterns accounting for additional factors.

AI technologies are developing rapidly, and so are data science services. Therefore, the scope of insights you can derive from this service increases, giving you new business opportunities.

Another exciting type of AI-based service a data science team can offer is utilizing computer vision technology. Like NLP models derive information from textual data, computer vision extracts information from the visuals. The most common application for this tech now is the facial recognition feature used by multiple gadgets. However, on a larger scope, this technology can be used to prevent crime, analyze a stream of video footage, or monitor specific areas for emergencies.

What Businesses Need Data Science Services?

Applications of AI and data science services are endless. So, regardless of size, every business can benefit from using these services on any level. Therefore, the main factors to consider are your budget and goals.

First, determine what it is that you’d like to achieve at this stage. Do you want to cut costs? Optimize business processes to increase productivity? Enter a new market? Launch an innovative startup? Expand the capabilities of your existing product? Enhance your business strategy?

Once you’ve chosen one or several objectives, book a meeting to discuss data science consulting services. A team of experts will analyze your business and request and develop a list of services that will help achieve your goals.

AI Speaks About How to Use an AI Chatbot for Business

Posted on April 5, 2023August 30, 2023 by mkoftielieva

Devtorim’s AI-powered platform Marquètte is getting better at generating interesting articles you can use for blogs and even for self-education. Today we used one of the new marketing templates to have AI share ideas on using an AI chatbot for business. Check out what it had to say below.

Ideas on How to Use an AI Chatbot for Business in AI’s Own Words

In today’s digital world, businesses increasingly turn to artificial intelligence (AI) chatbots to automate customer service and enhance customer engagement. AI chatbots have the potential to save time and money while providing a more personalized customer experience. In this blog post, we’ll explore how to use an AI chatbot for business, the benefits of using an AI chatbot, examples of successful AI chatbot implementations, challenges of using an AI chatbot, best practices for deploying an AI chatbot, and how to measure the success of an AI chatbot.

How to Use an AI Chatbot to Automate Customer Service

AI chatbots can be used to automate customer service tasks such as:

Answering frequently asked questions
Providing product information
Helping customers with their orders

They can also be used to respond quickly to customer inquiries and provide personalized recommendations based on customer data. By using an AI chatbot, businesses can save time and money while improving customer satisfaction.

Benefits of Using an AI Chatbot for Customer Engagement

AI chatbots can help businesses to provide personalized service. For example, they can answer customer questions 24/7 and provide automated support.

In addition, AI chatbots can collect customer data and improve customer engagement through targeted messages. AI chatbots can save time and money by automating everyday customer service tasks.

Examples of Successful Uses of an AI Chatbot

AI chatbots can be used for a variety of business needs. For instance, the Bank of America uses an AI chatbot to help customers with account inquiries and transactions.

There is also Sephora, a company that leverages AI to power an in-app virtual assistant that helps shoppers find the right products.

Moreover, Domino’s Pizza has created an AI chatbot to take orders and provide personalized recommendations.

Challenges of Using an AI Chatbot for Business

Implementing an AI chatbot for a business can be a challenging process. Designing, developing, and deploying a chatbot requires a lot of time and resources.

Additionally, businesses must consider the cost of hosting and managing the chatbot and other associated expenses. Finally, it may take some time before companies realize their chatbot’s full potential.

Best Practices for Deploying a Chatbot

Deploying an AI chatbot can be a great way to improve customer service. However, it’s important to ensure that the chatbot is designed to meet the customer base’s needs and that it is properly integrated into the existing customer service infrastructure.

Moreover, providing customer service agents with the necessary training to manage conversations with the AI chatbot is crucial. Finally, you also need ways to monitor customer service interactions for quality assurance purposes.

How to Measure the Success of an AI Chatbot

Measuring the success of an AI chatbot depends on the goals you have set. For example, you can measure the number of interactions, user satisfaction and conversion rates, or time on task. Additionally, you can use surveys and feedback forms to gain insights into the user experience.

Final Thoughts: Should You Start Using an AI Chatbot for Business?

AI chatbots can be invaluable for businesses looking to automate customer service and improve customer engagement. While there are potential challenges in implementing an AI chatbot, with the right strategies and best practices in place, businesses can maximize the success of their chatbot. In addition, deploying an AI chatbot is a great way to increase customer satisfaction while reducing customer service costs.

So, those were thoughts directly from AI. What do you say? Do you agree with these opinions and ideas? Will you start using an AI chatbot for your own business?

If you are ready to take this step, set up a free meeting with our development team!

For more thoughts on AI also see:

How Artificial Intelligence Software Development Will Transform in 2023

Using AI for Sustainability: Technology for a Better Future

Using AI for Sustainability: Technology for a Better Future

Posted on March 22, 2023August 30, 2023 by mkoftielieva

Everyone today should understand that our planet isn’t doing too well health-wise. Reports of natural disasters or some other nasty side-effects of environmental changes come almost daily. With the rise of artificial intelligence, we are wondering how using AI for sustainability could help improve this situation. It turns out that AI tech can become a true life-saver for our planet, but only if it’s used wisely.

Artificial intelligence software development technology is developing rapidly. Some of its trends are already focused on using AI for sustainability, but that’s hardly enough. To truly benefit from this tech, people have to invest in the solutions that can make the most difference. However, governments also need to contribute. It’s not only a matter of money but also regulation. It’s because abusing AI tech could lead to tragedies, especially in countries that aren’t liberal democracies.

Keep reading to learn what AI can do to help heal our planet and why we must keep it under control.

Using AI for Sustainability and the UN SDG Program

A giant blob of seaweed moving to the shores of Florida right now is only one of the many natural disasters in action. All of them are red flags waving at the planet’s populace, stating that we need to do something to improve the health of the planet. One of the main initiatives currently working on those objectives is the SDG Program.

SDG stands for Sustainable Development Goals defined by the UN. Those are the goals humanity is working towards to ensure the long-term survival and well-being of our world as a whole. They go far beyond managing climate change, including dramatically important matters like conquering world hunger, inequality, and increasing education quality.

Using AI for sustainability can help achieve over a hundred of those top goals faster and more efficiently. Applying this technology is currently most beneficial in matters concerning climate change and the overall health of our environment.

In turn, this can benefit businesses and economies because we live in a highly interconnected world. For example, according to PwC research commissioned by Microsoft, using AI for various environmental purposes can contribute about $5.2 trillion to the global economy by 2030. That’s not even counting the long-term benefits the entire planet’s population will experience from having a healthier environment.

Using AI for sustainability worldwide could help reduce greenhouse gas emissions by 4% in 2030, which equals the annual emissions of Australia, Japan, and Canada combined!

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Companies Using AI for Sustainability

Many top companies already use AI for energy management and other practices to reduce their carbon footprint. Top examples of this include:

IBM
IBM is applying AI in many of its processes to boost overall business productivity. Regarding increasing sustainability, one of the most valuable contributions comes from using AI for weather forecasting. Artificial intelligence allows for raising the accuracy of predictions by about 30%. As a result, IBM can help renewable energy companies increase their efficiency, especially in resource management and energy production.
Google
It’s no secret that Google takes sustainability projects very seriously. Running power-hungry data centers, the company must do its best to boost energy efficiency. AI helps Google reduce cooling costs by 40%, and that’s only one of its applications.
Carbon Tracker
Carbon Tracker is a think-tank focused on finding ways to improve the climate situation on the planet. One of its projects is using AI for tracking emissions. They can track CO2 based on satellite imagery and use this data to identify coal plants with the lowest footprint. Then, they use the data to help attract investment to these specific plants.
Xcel Energy
It might be surprising to hear that a company that burns coal and has a high emissions level uses AI for sustainability. However, even businesses that are considered non-eco-friendly work on minimizing their impact. Xcel Energy is using AI to increase its efficiency by about 20%.

However, you don’t have to be a huge enterprise that racks up millions in revenue to start using AI for sustainability. You can use this technology to improve your business practices and processes in many ways. Consider the following ways to implement AI:

Precision agriculture
Energy management within office buildings
Analytics for better resource planning
Minimizing energy and water waste
Environmental monitoring
Sustainable supply chains

Why Using AI Might Hamper Sustainability and Cause Global Problems

Using AI for sustainability can help accomplish great things. Some of the most prominent among them are:

Clean power
Sustainable production and consumption
Clean transport
Smart homes and cities
Early warning about possible disasters
Resilient infrastructure
Pollution prevention
Clean oceans
Disease control
Clean water supply
Resource management
Sustainable resource use

These and many other things can be possible if people work together and wisely manage their resources. AI can be a great help by taking out biases and calculating the best strategies for increasing sustainability and equality.

That said, this power can be used for evil as easily as it can be used for good. Therefore, it’s imperative to develop specialized regulatory bodies and strategies to monitor the applications of AI.

One of the most concerning matters is the use of this technology by authoritarian and totalitarian political regimes. Some non-democratic governments are already using AI for tracking purposes. There is a huge risk that they will abuse this technology further in order to maintain power and control of their territories and promote their corruption schemes.

A lack of transparency and competent regulation when it comes to using AI for sustainability or any other purpose can result in tragedies. It will definitely lead to multiple safety risks, including some with possible global consequences. It will also make it impossible to maintain clear ethical standards.

Therefore, any large-scale use of AI should be preceded by the development of proper regulation. Currently, technology is growing and spreading much faster than appropriate political and regulatory protocols. This should be concerning for all of us.

Bottom Line: The Future of AI and Its Impact on the World

Even the most basic AI chatbot can do incredible things today. Therefore, the future of AI technology is certainly bright. It will continue developing and growing fast because it’s the top investment opportunity right now.

However, that growth can lead to unimaginable consequences without proper regulation. So, the question isn’t how we can use AI for sustainability but how to ensure that sustainability is all it’s used for.

Is Bubble the Best No-Code Development Platform?

Posted on March 15, 2023August 30, 2023 by mkoftielieva

No-code development can’t replace professional developers yet. However, it’s certainly getting better at creating software. Some of the best no-code development platforms can already create efficient and reasonably complex apps. Bubble.io stands out among these services due to its reliability and versatility. We know this because one of the Devtorium teams is using Bubble to develop an ERP solution for our company.

According to forecasts, the global no-code/low-code development platform market will reach $187 billion by 2030. If things continue as they are now, Bubble will be among the top platforms there. So, if you are wondering whether to choose it for your own MVP development, keep reading. Our team compiled a list of the platform’s pros and cons based on their experiences.

Benefits of Using No-Code Development Platforms for Small & Medium Business

No-code and low-code development platforms have been around for a while. Initially, they were very limited and mostly served as aids for developers. In essence, even today, no-code development is often used to cut down the software engineer’s work hours and involvement in a project. However, this tech can’t replace the professional entirely. That’s because an expert must manage it.

That said, no-code development offers small and medium businesses a great opportunity. These platforms enable SMBs to create affordable customized software to boost their business’ productivity and speed up inner processes.

Moreover, using a no-code development platform is a fantastic way to build your MVP. If you have an idea, this type of solution will allow you to make it presentable to attract investors.

However, in order to make the most out of your no-code development project, you must understand the capabilities and limitations of the platform you choose. In this article, we’ll analyze Bubble, one of the leaders among the best no-code development platforms today.

Bubble No-Code Development Platform: Pros & Cons

Advantages of Using Bubble

Every Devtorium developer who used or even researched Bubble says its main advantage is that the platform allows you to write your own logic. Quite often, it’s a massive issue with no-code platforms because they only let you develop solutions based on built-in plans.

However, Bubble allows developers the maximum level of flexibility. So, you can use this platform to create almost any type of solution. For example, this includes marketplaces, SaaS, dashboards, or even your very own social network.

Our devs believe Bubble is an excellent platform to test your ideas. You can use it for developing an app fast and evaluating how all the features you want to include fit together. You can also use it to have a focus group test the app. This way, you’ll be able to assess and improve your app development plans. In addition, you can see the audience’s response to it.

Aside from the flexibility, Bubble offers a wide range of functionalities you can integrate into your app. This no-code development platform is extremely versatile and has a vast plugin marketplace. Therefore, there is hardly a feature you can’t find. Therefore you should be able to create precisely the type of software you want.

Moreover, there is a thriving Bubble community, and the platform’s support service works exceptionally well. So you’ll be able to find advice or discuss any questions you have.

Bubble No-Code Platform Limitations

Even the best no-code development platforms aren’t perfect. So you need to consider their limitations before settling on a no-code platform for your project. In fact, your long-term plans are the foremost thing to consider when using Bubble. For example, if the platform doesn’t have the capability for features you want to add in the future, reconsider using it at all.

Of course, no-code development platforms evolve and release new features and functionalities regularly. However, betting the future of your own project on this chance is probably a mistake.

That said, you must remember that the features you might like at the idea stage aren’t what your target audience needs and wants. So from this point of view, creating a high-quality MVP with Bubble might pay off because you’ll be able to collect relevant feedback. But bear in mind that you might need to move to a different platform or even build your native app from scratch again using different technology.

In addition, we discovered that Bubble is flexible for functional design but not for UI/UX design. It’s a fundamental fact to keep in mind when you try to bring your idea to life using Bubble. You’ll be disappointed if you believe you can create a functional app and upgrade the design later, you’ll be disappointed.

Bubble no-code development platform is somewhat limiting in UI/UX design adjustments. It means you have room to create an attractive UI design as you start developing, but you can’t change it much after creating the app. So the solution is to have your design on hand when you start working with this no-code development platform.

Bottom Line: How to Choose the Best No-Code Development Platform

If you think about no-code development, Bubble is definitely one of the best options today. Our developers tested it extensively and were very impressed. However, you need to remember that all these platforms have limitations. The most important among them is processing power.

Simply put, no-code is suitable for small and medium projects. However, enterprise-level businesses won’t be satisfied with the results.

You need to consider your specific needs and plans to choose the best among no-code platforms. Research what each option can deliver and pick the one that meets your needs best. Don’t forget to consider the price because these solutions won’t be free if you want to have a decent amount of processing power.

AI Content Writer Marquètte: Marketing Templates

Posted on March 10, 2023August 30, 2023 by mkoftielieva

ChatGPT changed how people see an AI content writer and AI in general. At Devtorium, we consider this a fantastic development because it helps popularize AI-powered solutions. Our own AI content generator Marquètte keeps progressing as well. This tool can become an invaluable helper for marketers and content writers.

In this post, we will show you how to use Marquètte to generate a wide range of texts in a few clicks. To see ideas on how to implement AI content writing software in your marketing strategies, check out this article.

What AI Content Writer Marquètte Can Do for You

As an AI content writer, Marquètte generates texts on different topics. However, the issue with the majority of AI chatbots and content writers openly available today is that they create generalized texts. Therefore, you’ll need to spend a lot of time editing them for marketing use.

Devtorium solves this problem with our Templates functionality. Designed with the help of our data science team, these templates generate highly specific texts targeted to different purposes. A set of marketing content templates allows you to create ads, emails, and product descriptions that will show your product in the best light.

Writing a few dozen marketing texts about the same product or service will finally be easy!

Every piece of content generated by an AI writer is unique, and each will focus on making your offer sound as appealing as possible.

Keep reading to see examples of how AI content writing software can market your products or services to any audience.

Marquètte AI Content Writer: Marketing Templates

Product Description

Struggle with creating an attractive product description that highlights the top attributes of your product or service in the best way? Marquètte can create as many of those as you need, so you’ll be set up with a unique description for every platform and ad campaign you plan to run.

Take a look at an example generated by an AI content writer. The product in the task was ‘herbal tea blend’. You can also add attributes you want AI to focus on. In this case, we listed some adjectives: soothing, relaxing, calming.

Welcome to the world of relaxation and harmony that comes with our soothing herbal tea blend! This blend is specifically designed to bring free-flowing energy, inner-calm, and increased relaxation. It contains lavender, which helps soothe the mind and instill a sense of restfulness. Our calming herbal tea blend provides many calming benefits for those who seek a better quality of sleep. The effects of this blend become even stronger with consistent use. So why wait? Make today the day you start to make peace with yourself and your environment as this soothing blend does its work!

Marketing Email

No matter how the market changes, email marketing remains the tool with the highest ROI. You can bump those numbers further by having Marquètte generate emails for you. Check out how the AI content writer does it below.

This time, we decided to check how AI can deal with fun and entertaining ads, so we requested a marketing email for a rubber duck that’s safe for babies to play with.

Safety & Fun for Little Ones: Yellow Rubber Duck!

Introducing our fantastic rubber duck—made from soft and durable resin, this fun duckling is the perfect companion for bathing time!

Sporting a stylish yellow hue, our product adds a cheery environment to your tub. Our duck can also provide peace of mind, as it is perfectly safe for infants. No need to worry about any toxins—this product is certified non-toxic and 100% family-friendly.

No more fretting over whether your child is exposed to unsafe materials!

Make bath-time fun and entertaining with our amazing rubber duck. Trust us, your little one and you will be thrilled to get a chance to make a splash with this delightful bath toy.

We hope you love it as much as we do!

Regards,

The Rubber Duck Team

SWOT Outline

This template is more of an aid for a content writer tasked with creating content about specific companies. AI will generate a list of strengths, weaknesses and opportunities for a specific business. However, bear in mind that AI may not have the latest data, so this information might not be current.

Here’s an example of such an analysis for Nestle.

Strengths:

Global presence

Strong brand recognition

Innovation

Diverse product portfolio

Strong financial performance

Weaknesses:

High reliance on mature markets

High cost structure

Lack of focus on emerging markets

Opportunities:

Growth in emerging markets

Expansion of product portfolio

Partnerships and acquisitions

Focus on health and wellness

Threats:

Competition from other food and beverage companies

Increasing cost of raw materials

Regulatory changes

Changing consumer preferences

Short Social Media Post

Every marketer running a few dozen Facebook ads campaigns knows how hard it might be to write a few variations of product ads that are under 100 words long.

Well, Marquètte can do it in a few moments. This template will generate short sentences that can be used for social media ads with your gorgeous visual media. For example, here’s a text generated for a fantasy novels sale:

Enchanting Stories Await

Get lost in a world of adventure with our fantastic selection of fantasy novels! Shop our spring book sale now!

Informative SMM Post

We understand that the majority of marketers and content writers have to create multiple informative SMM posts to keep the channel audience engaged. A template for this type of content is currently in the works. We are planning to release it in the next few weeks.

For now, here’s a sneak peek of how an AI content writer will generate posts like this. The request for this task was ‘tips for choosing the best e-wallet service’.

When choosing an e-wallet service, it is important to consider a few key factors. First, make sure to research the security measures of the service you are considering. Look for features such as two-factor authentication, encryption, and fraud protection. Additionally, consider the fees associated with the service. Many services have different fees for different types of transactions, so make sure to read the fine print and understand all the costs associated with the service.

Another important factor to consider is the range of services offered by the e-wallet provider. Many services offer different features such as the ability to send and receive money, store loyalty cards, and access discounts. Additionally, look for services that are compatible with your current banking and payment methods, such as Apple Pay or PayPal. Finally, make sure to read customer reviews to get an idea of how reliable and user-friendly the service is. Taking the time to research and compare different e-wallet services can help you find the best one for your needs.

Bottom Line: Who Can Benefit from Using an AI Content Writer?

AI content generation is a trending topic today. Any business can find a way to include it in processes, especially involving marketing. With the help of Marquètte templates, you can start generating ads and other marketing content right now. Give it a try during a free trial and see what you can achieve!

If you want to take a look at long-form content created by AI, see the blog post completely generated by Marquètte.

Types of User Interfaces: Tips for Hiring a UI Design Company

Posted on March 3, 2023August 30, 2023 by mkoftielieva

If you plan to create any kind of app or software product in general, you will need to work with a UI design company. Of course, it may not be called this exact way because designers usually work with UI and UX simultaneously. Moreover, a custom software development company will most likely have a design team. Therefore, you’ll just dive into the most interesting question immediately. And that question is, what kind of user interface do you want to have?

Technology is evolving, and we’ve now moved on from the point where graphical interfaces were your only option. Keep reading to learn what alternatives you have now. Also, remember that consumers are hunting for the best UI/UX experience today. Therefore, investing in a creative and well-optimized interface is sure to help you get ahead even in a highly competitive market.

Before You Hire a UI Design Company: What Is UI?

Before we start listing trending UI types, let’s see if you understand what UI is and the difference between UI and UX design services. In essence, UI includes everything the user interacts with to navigate information within the device. For example, for a computer program, this will include:

Desktop appearances
Computer mouse
Keyboard
Clickable buttons
Text entry fields
Texts
Sliders
Screen layouts
Transitions between screens
Interface animations

So, if you thought that a UI/UX designer only thinks about making your app look pretty, you’ve severely underestimated the work they have to put in when creating a friendly user interface. Moreover, you also need to consider that UI development goes beyond design. A lot of technical work is involved in making your app genuinely user-friendly and attractive.

Meanwhile, UX design is an integral part of this process because it ensures that the user interface is easy and intuitive to interact with.

For a very long time, software products only relied on graphical user interfaces due to technological limitations. However, now you have the freedom to use top-notch tech to make your solutions more interactive. In addition, IoT and smart assistants, like Alexa or Siri, have become the norm today. According to TechJury, about 64 billion IoT devices will be in use worldwide by 2025. So, developing a more advanced UI type is guaranteed to be a good investment.

Types of User Interfaces: Things to Discuss With Your UI Design Company

Graphical User Interface (GUI)

Graphical user interfaces are the most popular and some of the simplest available today. You interact with them daily by clicking on any icon, whether with a mouse or your finger on a touchscreen. These interfaces are best used for multitasking (when the user runs several apps at a time) or for complex programs.

GUIs are the standard go-to that every UI design company will focus on first. In the majority of cases, any other tech additions will be built upon after completing the graphical component of your solution.

The main advantages of a GUI include the following:

Attractive design
Very user-friendly
Easy to use and navigate
Absence of challenging commands
Understandable for people without a background in tech

However, GUIs are not perfect. First of all, they can be slow and require a lot of RAM to run (for advanced versions). In some cases, the user might require extensive additional hardware to run some graphical interfaces. For example, think of last-gen video games.

Voice-Controlled Interfaces are taking over the world! Missing out on this now might make it impossible to remain competitive

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Voice-Controlled Interface (VUI)

How often do you talk to Alexa? Or Siri? Or how reliant are you on your Google Assistant? If you use any of those, you’ve probably noticed that they become an integral part of your daily life so easily that you don’t even see it. However, removing them now will make everything so much harder, right?

Voice-controlled user interfaces are not a big part of a regular UI design company’s services. Therefore, you’ll need to search for specialized developers to launch a product like that. Moreover, creating such software from scratch will require a significant investment. However, you can definitely consider integrating functionality that will connect your software product to one or all of the existing voice interfaces.

Voice-controlled interfaces are becoming more popular, and this trend will undoubtedly grow. They enable users to interact with their devices more efficiently, which is necessary in the hectic modern world. In addition, the teaching capabilities of VUI solutions are unparalleled.

Benefits of VUIs include:

Anyone can use them easily, no matter their level of tech proficiency
Easy integration with multiple devices
Translations make them available globally
Enables easy human-like interaction with your tech

However, before you plan to create a VUI for your product, remember that the number of commands that can be integrated with it now is small. This technology is still developing, so tech issues and limitations might exist. Also, while translations are excellent, there are only a few of those now.

Natural Language Interface

Natural Language Processing (NLP) and Natural Language Understanding (NLU) technologies have been evolving for a while. They are an inseparable part of the AI development process. Devtorium is a company experienced in working with this technology as we’ve designed and launched an AI-powered platform Marquètte. Natural Language Interfaces (NLI) are designed for this tech as they enable the user to communicate with computers using human language.

After ChatGPT had gone viral, interest in NLI increased greatly. Many businesses are now looking for ways to integrate this tech into their product. So, if you plan on creating any type of software, you definitely should consider expanding beyond a regular UI design company’s services. In essence, a chatbot of some kind is a must-have for business right now.

The main benefits of an NLI include:

Incredibly varied and numerous application possibilities
Great level of personalization for user-tech communication
Ability to create a realistic interaction, especially with voice generators
Can enhance existing software products
Context-sensitive responses that are getting more precise

The only significant drawback of VUIs is that they are now challenging to program. However, this technology is evolving rapidly, so we are sure to see fast growth in AI. The hardware needed to run this tech is also expensive. So, resources will also be an issue, unless you rely entirely on third-party products.

#ChatGPT has gone viral. Can you afford to NOT have a chatbot for your business today?

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Final Things to Consider Before Hiring a UI Design Company

In this article, we focused only on UI types that someone interested in developing an innovative software product can use to boost their business plan. However, many other types are used daily, for example, the command line interface that developers often use or menu-based interfaces you interact with when using ATM machines and the like.

There are also advanced technologies that never managed to become popular for some reason, like gesture-based interfaces. Those holographic screens looked so cool in sci-fi movies and when Tony Stark was using them, but current tech doesn’t allow making them a viable option.

That said, we live in times when tech is evolving lightning fast. So, investing in cutting-edge interfaces is a smart move. You might not even notice how they turn from cutting-edge to an everyday staple feature. Therefore, it’s best to be ahead!

In order to do this, you should focus on hiring not merely a UI design company but experienced developers that can help you create a versatile solution. In this case, you’ll be able to develop a product with several interfaces to ensure a wider reach. Expand your target audience to stand out from your competitors.

Do you want to learn how to do this within your current budget? Set up a meeting with our team!

How to Choose a Tech Stack for AI-Driven SaaS Development

Posted on February 23, 2023March 2, 2023 by mkoftielieva

AI-driven SaaS development is one of the best investments ever because this tech trend is scorching hot. According to SpendDesk research, an average public SaaS company is now worth around $27 billion. Moreover, it’s estimated that 85% of all business applications will be SaaS-based by 2025. Undoubtedly, in a couple more years, software as a service will replace all other types.

If you need more motivation to invest in SaaS platform development, consider the following numbers:

Gartner estimates that cloud spending will amount to 45% of all enterprise IT spending by 2026.
The SaaS industry value is over $172 billion and constantly growing, says Exploding Topics.
Private European investment in SaaS is growing by 3.2, year over year, claims Paddle. However, the US remains the leader among SaaS companies and investors.

This list could go on, but there is only one conclusion, SaaS development services are gold right now. So, it pays to get onto that train as soon as possible.

If you decide to use this incredible opportunity and create a SaaS product, you need to look for a company with a tech stack for it. In case this is your first time, here are a few tips on choosing a tech stack for AI-driven SaaS development. We’ll also suggest the best technologies for these projects.

What to Consider When Choosing a Tech Stack for AI-Driven SaaS Development?

First of all, you must understand what drives the choice of a tech stack for any software development project. Five crucial factors will dictate your decision regarding technologies.

Scalability.
Modern technology changes extremely fast, and your project will grow fast as well if it’s successful. Therefore, you must choose systems that allow continuous evolution and growth and integrate new features with minimal disruption.
Time-to-market.
How fast can you release the product on the market? The answer is always as quickly as possible’. Even if it’s not the final version, the product should start making money and pay for itself early. In addition, launching an MVP will provide you with invaluable user feedback. Use it to make improvements in later product versions. However, remember that it will grow and change constantly.
Learning curve.
It might happen that you need to change developers after launching your product. Therefore, you should consider the learning curve of the technology used for it. Think about how much time the new team will need to understand the project and start doing their job. Moreover, the tech stack will determine how hard it is for you even to find a new team. So, it’s always best to use widespread technologies.
Code maintainability.
Think long-term and consider how your code can be maintained over time. For this, you need to consider whether the programming language you choose has an active community with strong support. In addition, make sure that code isn’t overly complicated. Again, this will become necessary if you need to change your AI-driven SaaS development company.
Support.
Future product support is another thing to take into account when planning long-term. Overall, it’s best to choose technologies that have existed for a while and remain strong.

AI-Driven SaaS Development Tech Stack: Best Back-End Choices

The basis of your entire AI SaaS product starts with back-end development. It’s the foundation of your application, so you must ensure it’s as strong as possible. Therefore, no matter how innovative your AI-driven SaaS development idea is, it’s best to build the foundation on time-tested reliable technologies.

The best SaaS development choices for back-end tech include:

.NET (C#)
Node.js
PHP
Python

Each choice will enable you to create a reliable and adaptable application. Moreover, these technologies are quite popular. Therefore, you shouldn’t have any issues changing developers or adding new people to your team as the product grows.

Speaking of growth, all these technologies allow for efficient scalability. So you’ll be able to improve and add new features fast.

There is no single best choice among these programming languages. This particular decision should be based on your product’s functionality and budget. Discuss this matter with experienced developers as they can advise on which choice will benefit the project most.

Best Front-End Technologies for SaaS Platform Development

JavaScript reigns supreme when it comes to AI-driven SaaS development. It’s hard to believe, but less than five years ago, about 95% of all websites used JavaScript. Therefore, there is no better choice for your SaaS development in the front-end department. In fact, one of the top back-end options we mentioned above is Node.js, a JavaScript runtime environment for back-end development.

In regards to the front-end department, the best choices are all JavaSript frameworks:

React
Angular
Vue.js

You’ll need to get expert opinions and think long-term when choosing between them. It’s essential to have some idea of the changes you wish to implement to expand the product in the future. These technologies vary in flexibility, and adding specific features down the line might be more challenging for some of them. So, plan your moves ahead and think big. Even if you never implement the changes you plan at the beginning, you’ll be sure there is room for them.

Remember that rewriting your product in a new language later can be prohibitively expensive. Moreover, it might take you off the market for a while.

Start Your AI-Driven SaaS Development Project Right Now!

As you can see, the whole process of choosing a tech stack for AI-driven SaaS development seems a straightforward process. The best choices are indeed few, and they are well-known. It means you can easily research every programming language and framework to learn its strengths and weaknesses.

However, making the actual choice isn’t that easy. This decision can have a massive impact on your project’s success. Therefore, you must consider it very carefully.

It would be best to consult an experienced SaaS development company first. Find people you can trust and explain your ideas to them. If your research led you to something, share this with the developers. For example, you can say why you think .NET is the best choice compared to Node.js. Then, let experienced developers share their ‘insider knowledge’ of the framework. These negotiations should result in you making the best possible choice for your future project.

Want to see how this works? Schedule a free consultation with our team right now!

Devtorium has years of experience in SaaS products for various industries. Moreover, we’ve recently launched our own AI-powered SaaS platform, Marquètte, used for content generation. As a result, we can analyze your idea and devise several plans to bring it to life, considering your budget and long-term goals.

AI Chatbot Development: What a Chatbot Can Do

Posted on February 16, 2023March 2, 2023 by mkoftielieva

As you must know, GPT Chat has recently gone way beyond viral and unlocked new levels of popularity, so AI chatbot development has become the hottest trend. So, if you want to get on this trend before it’s too late, you need to hurry, as new AI-powered services are popping up overnight. In fact, even Devtorium launched an AI content generator, Marquètte.

All this means two things:

You need to invest in chatbot development as soon as possible to launch your product before the competition gets too intense.
Devtorium developers have a lot of experience in AI-powered software development, which we can put to good use to realize your ideas.

So, you know why invest in chatbot development services and who can do it for you. Therefore, the main question is, what kind of custom chatbot service do you want to launch?

AI chatbot development goes well beyond simple chatbots we are used to relying on as shopping assistants. This technology advances fast, and this kind of tool can complete many versatile and complex tasks now. In this article, we’ll share some ideas on what a chatbot can do today. Use it for inspiration or research when working on your AI-powered business plan.

AI Chatbot Development Ideas for Business: What Chatbots Can Do

Chatbot Development for Customer Support

The most common use of chatbots today is, of course, creating visual assistants to make customer support more affordable. According to Gartner research, chatbots will become the primary customer service provider over the next five years. Moreover, about 74% of internet users prefer interacting with a chatbot when looking for answers to simple questions. Other studies also show that AI-powered assistants can reach the level of experienced sales professionals. Therefore, they can help your business quite effectively.

Additionally, chatbots can perform a wide range of tasks in their customer service role.

Answering questions.
The best use of a chatbot is to give customers 24/7 support that can answer the most common questions. There might be some advanced issues that a machine can’t handle, but those can be rerouted to your human experts.
Processing customer inquiries.
AI chatbot development can create an assistant that will integrate into the process of your interaction with the customers. AI can collect data and process it transferring inquiries to different business departments or even answering some of them automatically.
Finding, inventory checking, and recommending products.
A great help for eCommerce businesses are chatbots that can lead the customer when they want to find a product fast. The AI can then check the inventory in real-time and recommend a replacement or additional products.
Processing return and exchange requests.
AI chatbot development allows you to automate the return/exchange process completely, thus reducing the risk of human error. You’ll get a boost in customer experience and satisfaction out of it.
Tracking order shipments.
Allow your customers to track their orders with an AI assistant.
Collecting and processing feedback.
Chatbot development can produce a solution that will collect feedback more effectively through personalized requests. Moreover, it can immediately process the data.

AI Chatbot Development for Marketing

There are many ways to use AI-powered platforms for marketing. The main purpose of these tools is to cut costs and increase the efficiency of information processing and analysis. In addition, you can teach your AI assistant to cross-sell, upsell, and downsell, to increase business revenue. Some ideas for marketing chatbot development include:

Lead generation.
There can’t be too many ways to generate leads. So if you have a chance to use a chatbot for it, do this!
Second-net lead generation.
What did we just say about ‘never too many lead generation routes’? If you aren’t using a chatbot as a primary lead gen contact, set it up as the second-net step so it can engage customers who ignored the initial lead generation form.
Pricing explanation.
Pricing pages can be complicated for many users, especially if the service has a multiple-tier subscription system. Adding a chatbot at this stage will combine marketing, support, and sales efforts into a solution that will guide the customer to the subscription that suits them best.
Unobtrusive and engaging product promotion.
AI chatbot development allows you to create an assistant that will be a witty and fun conversation partner for your customers. As an added feature, it can also promote your products as an organic part of the conversation instead of a self-promotion advertisement.
Powering up funnel marketing.
You can include a chatbot to assist you and increase customer engagement at every level of your marketing funnel.
Assistance with quizzes, promotions, and contests.
Chatbots can help you implement and process data collected by many popular marketing tools, like quizzes and contests. They can also help run promotions by engaging customers.

AI Chatbot Development for Sales

Now, let’s be honest, a chatbot is not yet able to sell something as well as an experienced human sales professional. Moreover, the majority of people prefer interacting with humans, especially when discussing more complex topics. However, AI chatbot development can facilitate your sales process as a whole by assisting at several stages.

Offering product demos and showcasing them.
A chatbot can help increase conversions and boost page visitor engagement by offering and running an attractive showcase of the product. It can be personalized for different target audience segments for better conversion chances.
AI-powered personal shopping assistant.
The popularity of personal shoppers speaks for itself. AI can handle this task extremely well, especially with its capabilities for data processing and personalization. It may not sell directly, but it will help customers choose products, as well as cross-sell.
Providing quotes and estimates.
Integrating AI chatbot development with your databases and business tools can create a bot capable of giving precise quotes and promoting your products at the same time. It’s a great opportunity for growth and conversion.
Connecting sales and customer support.
Offering sales assistance, product promotion, and customer support in one place is a sure win with the customers. Create a chatbot that will help your visitors in every way and switch automatically to guide the user to conversion. AI is advanced enough to do it. You just need a custom product development team that can unlock its potential for you.

Bottom Line: Chatbot Development Is for Everyone

The simple truth is that every business today can benefit from investing in a chatbot development company. The potential in this industry is limitless. You can use the bot to assist your own business from within or to engage your customers. The only limits here are your imagination and current technology level. However, the latter is growing fast.

We’ll stop here today. However, in the future, expect to see more articles about applying chatbots in different industries, including healthcare and fintech.

How to Hire a Fintech Software Company

Posted on January 25, 2023February 8, 2023 by mkoftielieva

Are you looking to hire a fintech software company to develop an innovative solution for your business? With so many companies offering different services and packages, it can take time to determine which is the right fit for your needs. In this blog post, we will provide you with the necessary steps to help you find the perfect software company for your project. We will discuss every step, from researching potential companies to negotiating terms and signing a contract.

How does this intro sound to you?

As you know, Devtorium has been working on an AI-powered platform Marquètte, an online content generator that can help copywriters and marketers everywhere. We’re proud to announce our latest update, Content Templates. They are blueprints that allow users to generate specific types of texts optimized for various purposes. At the moment, our primary focus is marketing texts, including:

Product descriptions
SMM posts/ads
Blog posts
Quora answers

However, we are expanding our templates library. We already have several options useful for students, such as an online essay generator or a template that can provide you with complex mathematical formulas.

Of course, AI is not as good a writer as a talented and experienced human. However, it’s learning with every iteration, so the quality of the content it can generate constantly increases. Check it out for yourself by reading the post below. Find out how to hire fintech software developers in the words of artificial intelligence.

Hiring a Fintech Software Company Step 1: Research the Market

Research potential companies to hire by Googling and reading reviews on specialized websites, like Clutch. Look for companies specializing in fintech software development with a proven track record. Ask for references and get in touch with their former clients to learn more about their experience. Finally, ensure the company you’re considering has the necessary skills and experience to deliver the desired results.

Step 2: Set Your Requirements for a Fintech Software Company

Start by creating a list of criteria for selecting a fintech software development services provider. Consider the company’s size, its experience in the fintech sector, and its portfolio. Additionally, review their customer service policies and pricing structure. Make sure to include its reputation and customer reviews in your considerations. In addition, define your project goals so you can make sure that the fintech software company has the necessary skills stack.

Step 3: Request Quotes from Fintech Software Development Companies

Reach out to potential fintech software development providers and ask for quotes. Make sure to provide them with all the necessary information about your project. Ask for a timeline of when the project will be completed. Compare quotes from different companies and choose the best fit for your needs.

Step 4: Review Fintech Development Projects Portfolios

To select the right fintech software company, compare portfolios from several vendors. Look at their past projects and read reviews from previous clients to get a better idea of their services. Then, ask questions to ensure that the vendor can meet your requirements. Once you have selected the right partner, you can begin the project.

Step 5: Ask for References and Check Fintech Software Company Reviews

Before you hire a fintech software company, ask for references from their previous clients. You should also check online reviews to see what other people say about their services. Make sure to read both positive and negative reviews to get a full picture of their expertise. Finally, ask questions so that you can be sure that the company is the right fit for your project.

Step 6: Negotiate Terms and Agree on a Project Timeline

Once you’ve chosen a fintech software company to work with, it’s important to negotiate terms and agree on a timeline for the project. Discuss the project scope, budget, and timeline in detail before signing any contracts.

Step 7: Sign a contract and begin the project

Once all details with the fintech software development provider are settled, it is time to sign the contract. Make sure all terms and conditions are clear and agreeable before signing. If you don’t have an in-house professional, consider discussing the document with a legal expert before finalizing the deal. Once the contract is signed, you can begin the project.

Bottom Line: Hire Fintech Software Developers You Can Trust

Hiring a fintech software company can be daunting, but with the proper research and criteria, you can make the process much easier. Taking the time to contact potential companies, compare quotes and review portfolios, and ask for references and reviews is essential to finding the right fit. Once you have identified the best candidate, negotiating terms and signing a contract will help ensure that your project runs smoothly and successfully. With these steps in mind, you can find the perfect fintech software company for your needs.

So, what do you say about a post generated by AI?

Does it meet your expectations?