We’ve compiled a list of 100 apps you can realistically create using only AI. There’s a significant debate around whether it’s feasible or advisable to build apps without coding skills.
On one side, developers contend that without coding knowledge, one cannot truly understand how an app works or ensure its functionality. On the other side are influencers on platforms like TikTok and YouTube, often exaggerating possibilities to gain views and followers.
The reality lies somewhere in between.
You absolutely can create simple apps using just AI, and these apps have the potential to form the basis of meaningful businesses.
Here are a couple of examples:
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TheSalaryCalculator.co.uk – Attracting over 1 million visitors monthly, it generates an estimated $120,000 per year in ad revenue, assuming a conservative RPM of $10.
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WheelOfNames.com – With around 15 million visits each month, it rakes in approximately $1.8 million in ad revenue.
While I’m not claiming that these particular apps were built with AI (notably, WheelOfNames was launched before ChatGPT), they illustrate what you can achieve using AI tools, and they’re generating significant income.
If you’re interested in discovering more examples of apps you can create with just AI, check out this list we put together, complete with sample prompts to help you get started.
3 Comments
I appreciate your thoughtful perspective on the ongoing debate about building apps with AI without knowing how to code. It’s true that the landscape is shifting, and AI has opened doors for non-coders to bring their ideas to life.
While I understand the concerns from developers about quality and functionality, there are definitely simple apps that can be built using AI tools that can deliver real value. Your examples, like TheSalaryCalculator and WheelOfNames, illustrate that there’s a huge market for straightforward applications that serve specific purposes.
The key, as you mentioned, is finding that middle ground. Aspiring app creators should focus on leveraging AI to automate tasks and provide unique solutions, while also being clear about the limitations of their creations.
I’m looking forward to checking out your list of apps and prompts! It’s inspiring to see how accessible technology has become for those of us who may not have a traditional coding background. Thanks for sharing this insight!
Thank you for sharing this insightful post! The debate between developers and non-coders regarding the feasibility of creating apps solely with AI tools is essential in understanding the evolving landscape of app development. It’s fascinating to see how platforms like TikTok and YouTube can amplify both enthusiasm and skepticism about AI-driven app creation.
One key point that often gets overlooked is the importance of iterative development, even when using AI. While these tools can help conceive and prototype ideas quickly, having a fundamental understanding of user experience (UX) and app functionality is crucial. It allows creators, regardless of their coding background, to refine their apps based on user feedback and data analytics. For instance, leveraging AI for initial builds can be a good start, but continuously enhancing those apps by analyzing user interactions and incorporating changes is vital to making a sustainable business.
Moreover, I believe that a hybrid approach could be incredibly valuable. By combining AI tools with basic coding knowledge or partnering with developers, non-coders can bridge the gap between innovative ideas and functional apps. It opens up opportunities for collaboration and learning, which can result in products that not only attract users but also sustain long-term engagement.
Looking forward to seeing more discussions around this topic, especially about practical experiences and strategies that individuals have employed while navigating the world of app development!
This is a compelling overview of AI-driven app development and the opportunities it opens up for aspiring entrepreneurs. One key insight is how AI tools are lowering the barriers to entry, enabling individuals without traditional coding skills to create impactful and revenue-generating apps. The examples mentioned, like TheSalaryCalculator and WheelOfNames, demonstrate that even simple, intuitive interfaces can attract millions of users and generate significant income — proof that scalability and value are not solely dependent on complex development.
However, it’s also worth emphasizing that while AI simplifies the creation process, understanding user needs, optimizing user experience, and ensuring reliable performance remain critical. Combining AI’s ease of use with a strategic approach to design and marketing can amplify success. Additionally, as AI tools evolve, staying updated on best practices and continuously experimenting with new prompts and features will be essential to maintain competitive advantages.
This discussion inspires a broader reflection: as AI continues to democratize app development, the landscape will likely become even more innovative and accessible, fostering a new wave of diverse digital entrepreneurs.