Maker Blog
LilysAI shares the philosophy behind its AI products!
TeamLilys
In the AI era, developers are actually increasing in number.
There are many predictions that developers will disappear in the AI era. I'd like to make a cautious argument that there will be more developers. In the past few decades, the productivity of developers has increased exponentially. One person can now do the work that ten developers did ten years ago. With the power of open source and the cloud, it has become possible to provide large-scale services with less than five developers. But why is the demand for developers increasing rather than decreasing? The reason is that software is rapidly absorbing other fields. The software market itself is growing faster than the productivity of developers. Now, media, commerce, and finance are all dominated by software companies. What about the AI era? I think this trend will grow even bigger than you can imagine. Psychological counseling, childcare, law, medicine, all areas that were thought to be exclusively human will be absorbed by software. This pace is so fast and so intense that I think it may actually increase the demand for developers. However, development skills may be considered as something like the ability to handle Excel, rather than a specialized skill as it is now. With the power of AI, it may become an area that anyone can learn without much effort or training. So the most important thing is the ability to provide what people want. For that, development skills will become more instrumental. At times like this, I think you should work for a company that can develop application skills and application abilities rather than the peripheral skills of a developer. Lilys AI expects developers to plan, interview, report statistics, and produce results. I think it is the best company to develop the ability to satisfy people by using development as a tool. If you want to develop the ability most suitable for the coming AI era, please check the link below. We are currently hiring!
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TeamLilys
What should be different about the UX of AI products? - (1) Automatic trap
I would like to share one by one what I learned and felt while creating three AI products: Vrew, Rutton, and LilysAI :) With the incredible advancements in artificial intelligence, there is now an opportunity to ‘automate’ many human intellectual tasks. But ironically, when our team discusses the UX of a product, we often talk about not falling into the “automatic trap.” When you ask AI to do something, it's rare for it to get a perfect score. Most of the time, it ends up getting around a 70. You might think that it would be meaningful if you could just create a draft with 70 points, since it would save a lot of time. However, as you follow the user's workflow, you will often find yourself having to destroy the 70-point result created by AI and create 100 points from scratch to achieve your desired goal. For products like this, users initially react by saying, "Wow, this is amazing," but in reality, they don't reach a usable level, so retention isn't very good. We call this phenomenon the 'automatic trap'. So how should I fill in the remaining 30 points? A lot of things could be solved with the engineering and UX layers. Let me give you an example using our products. LilysAI is a video summary service. There was an issue where the summary was sometimes inaccurate or overly abbreviated, making the reliability questionable. When I used the existing video summary service, I felt inconvenienced because there was no action that the user could take when the reliability was questionable, so I ended up having to watch the video again.
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