Home News Yury Rudnitski, Product Manager of the ChatOn App (AIBY Group) – Interview Series

Yury Rudnitski, Product Manager of the ChatOn App (AIBY Group) – Interview Series

Yury Rudnitski, Product Manager of the ChatOn App (AIBY Group) – Interview Series

Yury Rudnitski is a Product Manager at AIBY Group, an organization specializing in the event and publication of AI-powered mobile apps. Probably the most well-known app in his portfolio is ChatOn, a preferred AI chatbot. Yury’s core responsibilities lie within the end-to-end supervision of the product development lifecycle.

What initially attracted you to programming and software engineering?

During my school years, I noticed that computers offer us boundless possibilities. Even a college student can create easy programs that grow to be complete, helpful products. For instance, I crafted a program that helped teachers organize a timetable for your complete school. The sensation I got from creating something of value for a lot of people was amazing. That is what determined my selection of the sphere and occupation.

You have transitioned from a software engineering background to product management. What were probably the most significant challenges you faced during this transition, and the way did you overcome them?

Figuratively speaking, probably the most significant challenge was to kill the engineer in me. In my latest role, I needed to use my product management expertise and concentrate on product growth, quite than providing advice to engineers or devising solutions for them on the engineering level. In other words, I needed to learn to delegate tasks and trust the professionals.

One other vital challenge in my latest role was the necessity to communicate my ideas to the entire team rather more continuously. I needed to hold a whole lot of meetings and presentations, so my public speaking skills needed to be taken to an entire latest level.

ChatOn has achieved significant popularity with its AI-driven features. Are you able to discuss any specific innovations or breakthroughs in AI which have particularly influenced ChatOn’s development?

After all, the creation of ChatOn was hugely influenced by the dramatic leap in the event of enormous language models (LLM). At a certain point it became clear that this marked the start of something latest and massive, opening up latest opportunities.

The concept of chatbots just isn’t latest in itself, but the extent to which they will be lifted with AI models was previously unimaginable. We took advantage of this example and created our chatbot app on the premise of the ChatGPT API. From the onset, we’ve put rather more value into our app than other products could offer, and we proceed to develop additional features.

In previous interviews, you have emphasized the importance of starting with user problems in product development. Are you able to share an example of how user feedback directly influenced a serious feature or pivot in ChatOn?

When working on ChatOn, we pay a whole lot of attention to feedback from various sources. We study reviews in app stores and complaints received by our support service. Moreover, we interview users of our app and other similar apps. This approach helps us discover users’ needs and develop latest features to deal with them.

For instance, our evaluation of feedback revealed that users have difficulties in formulating their follow-up questions when interacting with the chatbot. Usually, latest users often have little idea of methods to start exploring the chatbot’s features.

Based on these insights, we created the “Follow-Up Questions” feature. Inside this feature, chatbot itself suggests query options to users to assist them proceed the conversation. Following its release, we saw that the demand for it was huge. Users highly appreciated the standard of the questions and the way they helped them to explore topics in depth.

Where do you see the longer term of AI-powered communication apps like ChatOn heading in the subsequent five years, especially when it comes to user interaction and engagement?

If we attempt to look into the longer term and predict how AI will evolve, I imagine it would begin to function a proxy between users and the skin world. Due to comprehending human speech, AI can generate tasks (which previously needed to be done by humans), very similar to J.A.R.V.I.S. from the Marvel movies. It’s rather more convenient to inform your virtual assistant by voice what events so as to add to your calendar, where to book a table, or when to schedule an appointment with a physician.

More realistically, models are already developing multimodality. It’s in regards to the ability to simply accept not only text, but additionally images, video, and sound as input, and generate latest content based on this input. For instance, it’s possible to generate music from an image, or vice versa. This opens up promising possibilities for the appliance of AI in various domains. Aside from content creation, AI is already making significant strides in medicine and science, where it may well process vast datasets and draw conclusions based on them, a task that will take humans years to perform. 

With AI technologies rapidly evolving, how does ChatOn address ethical concerns and ensure its technology is used for the good thing about users?

The most important challenge confronting the creators of each LLMs (like OpenAI or Anthropic) and apps built on them (like ChatOn) is to make them as protected as possible for end users and be sure that the technology serves the greater good.

Because the creators of ChatOn, we work on the end-application side. Our responsibility is to enable users to flag specific ethical violations inside our app. For instance, if a chatbot has used inappropriate language in a response or has been disrespectful toward the user or others. Upon receiving such feedback, we will instruct the chatbot to avoid structures, words, or meanings that cause moral harm to the user. Generative models for creating images are equipped with stringent filters to stop the generation of inappropriate content. Having received an unethical request, the model will respond that it cannot create a picture for it.

Overall, the moral use of AI is a priority for all of humanity that must be addressed at every level. At the extent of a chatbot app, we do what we will inside our means.

In a fast-evolving field like AI, how do you be sure that ChatOn stays ahead of market trends and competitor developments?

I do not think there is a universal recipe for at all times staying ahead of the market and competitors. Nevertheless, it is important to grasp which points are inside the control of the product team and which we will influence.

Among the finest ways to stay within the lead is to hearken to our users and delve into their needs, challenges, and aspirations. It’s essential to thoroughly analyze this data. Addressing a user’s problem directly is not at all times one of the best approach. Sometimes, beneath the surface of 1 problem lies one other entirely different issue, and by resolving it, we will make the product higher for a lot of users.

It’s also essential to regulate the event of technology normally. Sometimes opportunities arise to implement what was previously considered not possible.

After all, it is important to watch your competitors. This shouldn’t be done with the only intention of unexpectedly copying their features, but quite to explore their modern ideas, contemplate how and why they emerged, test hypotheses, and choose one of the best ones.

My approach is to chart your individual course while remaining aware of what’s happening around you. This approach requires a transparent technique to enable you to stay on track.

As an authority in AI and product management, what emerging technologies or trends in AI are you most enthusiastic about, and the way might they impact the longer term of apps like ChatOn?

First, it’s fascinating to look at the evolution of the capabilities of today’s LLMs, where after a major breakthrough, a phase of “constructing on strengths” begins. The amount of knowledge used to coach the model and the variety of parameters each increase. This may make models rather more capable.

Also, it would surely grow to be possible to run such large models on mobile phones, tablets, or laptops without even going surfing. This advancement will enhance user data security and convenience while also reducing the price of such services.

As for ChatOn and other apps, the event of AI will enable them to deal with user tasks that were not possible to resolve before. For example, today you may extract the most important ideas from a 100-page document in only 10 seconds. Over time, AI bots will evolve from mere handy tools into digital personal assistants that understand you higher than anyone else and might even finish your sentences. This evolution will significantly simplify your life, allowing you to concentrate on what is really helpful and interesting to you.


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