This video features an interview with an outstanding member of Vibe Coding University who is now working as an AX consultant. Building on the exceptional capabilities he showed in the common curriculum, he participates in a real corporate project, demonstrates an AI-powered trade-area analysis demo, and explains the process in detail. He also shares candid stories about Vibe Coding University's teaching approach and his learning know-how, and lays out his aspirations as a future AX consultant.
1. Introducing a Top Vibe Coding University Member 🌟
Director Yang of Vibe Coding University opens the interview by introducing a member who delivered outstanding results in the common curriculum. This member showed such exceptional ability that he was directly featured as a model case in the opening ceremony keynote. In particular, in the deliverables submitted upon completion confirmation, he demonstrated an outstanding ability to systematically organize and submit the entire process and results even without any guidelines. Director Yang heaps praise on him, saying that people like this are exactly the ones who inevitably produce results first in the champion program.
"In a previous video—one that went up this morning—well, I shouldn't play favorites among members, but those who completed the common curriculum with excellence inevitably catch my eye."
The member modestly greets everyone, saying that while he was already interested in coding, he learned a great deal through Vibe Coding University. He even admits he's a little embarrassed that the materials he put together were so well received. He says that, thanks to this member, the completion requirements for the common curriculum actually became stricter—so you can imagine just how impressive his skills were, right?
2. Background to Developing the Self-Service Laundromat Trade-Area Analysis AI Demo 💡
The member explains that he developed the demo app to address a client's need: identifying the right locations for the sales efforts of a client operating nationwide. The client asked what information they needed to know about specific locations, and in a situation where data was hard to obtain, he built a trial demo app himself in order to find the answer—"developing it along this kind of flow should work."
3. Demonstrating the Self-Service Laundromat Trade-Area Analysis AI Demo 📊
Rather than identifying the client's actual business explicitly, the member built and demonstrates a tool called the "Self-Service Laundromat Trade-Area Analysis AI" to show a similar flow. He says this tool leveraged public data for AI training, mapping the locations of actual stores and then building a predictive model through training.
The member walks through a concrete demonstration of how the AI analyzes a trade area. When you select a specific area (for example, Bukahyeon-dong in Seodaemun-gu), the AI begins its analysis, and in this process it uses various features pulled from public data, such as population density, surrounding commercial districts, and age demographics. He says this was designed to mirror the way a person would actually go to a location to check foot traffic.
"When you normally evaluate a store location, think about the principle of how we do it—you go to the area first. You go to the area first, and then you look at what kind of foot traffic is around it. Think of it as putting that human-reasoning flow into this."
Remarkably, the AI's predicted result (for example, 5 stores) matched the actual data exactly, leaving everyone impressed. On top of that, you could see detailed information at a glance—such as the total population, number of households, and proportion of single-person households within administrative districts in a 1km radius.
The most important point here is the fact that this was the first time the member had ever done AI training. It wasn't part of the common curriculum, but he felt the need for it himself, added the learning on his own, and completed this demo—which makes his learning ability astonishing once again.
The member emphasizes that because the AI's precision and error rate change dramatically depending on what data you feed it, the process of a human first considering what data to input and finding meaningful data through repeated trials is crucial. He illustrates the importance of data selection by pointing out that the results shift drastically depending on whether or not you include a specific piece of data, such as the proportion of single-person households.
The member explains that while the AI model used isn't a large model like an LRM (large language model), it used an ensemble technique that repeats self-learning to reduce the error rate. He adds that this model's accuracy is 0.9309, and that anything above 0.9 is a good figure.
In the subsequent explanation of the data landscape, he reveals that he secured data such as total population and the proportion of single-person households through various API integrations, including the Public Data Portal, V-World, and SGIS. He confirmed through training that this data was indeed meaningful, and via a small-business trade-area API he was even able to determine in advance the number of stores nationwide. Ultimately, he secured data on the number of laundromats per dong for 2,588 dong and used it in the analysis.
Watching this demo, Director Yang draws an analogy to his own wife's deliberation over opening an art academy and asks a question. If, instead of laundromats, you trained the AI on art-academy data to obtain predicted values, wouldn't areas where there's a large gap between the predicted value and reality become "lands of opportunity"? The member answers "yes," explaining that if you additionally train it on the data that experts in that particular business field consider important, the prediction accuracy would become even higher.
Listening to the member's explanation, Director Yang praises him effusively: "How do you just say all this in publish-ready form, as if it could be written down verbatim—you're practically a born speaker, sir. I knew that already, but as expected, number one is number one." He adds that from the client's perspective, having a demo like this built for them when they hadn't even provided any data would make their "eyes pop with hearts."
4. Advice for Common-Curriculum Juniors 🧑💻
When asked what advice he'd give as a senior to juniors taking the common curriculum, the member says that, unlike in the past, the abundance of online data has created plentiful learning opportunities. In particular, he emphasizes that the AI field changes quickly and there's a lot to learn.
The member cites the biggest strength of Vibe Coding University's common curriculum as the essential, distilled training program drawn from Director Yang's experience.
"What's important about Vibe Coding University's common curriculum is that, honestly, Director Yang has a great deal of experience. Within that, he gathered only the essential bits—'I wish only this part were taught in the common curriculum.' Because otherwise we'd be agonizing over what to learn, and there are just too many tools to learn too, right? I think it's a curriculum built to the greatest extent possible so that we can go straight ahead without taking detours."
He also offers the following advice about the attitude one should bring to learning:
- Proactive learning: Rather than asking about everything, it's important to grasp and study the concepts on your own and look things up for about half of it. After all, internalizing it is what matters most.
- Actively asking questions: For the parts that are difficult to solve on your own, actively asking Director Yang or the teaching assistants and getting feedback helps you improve your skills.
He emphasizes that through this process, as feedback accumulates between everyone, you'll be able to improve your development skills.
In the give-and-take (back-and-forth conversation) with the member, Director Yang also asks about his experience collaborating with the center director. The member notes that the center director, too, is highly experienced, and explains that rather than giving direct instructions, he helped in a way that guided him to solve problems on his own and become self-reliant.
"The center director, rather than sticking with you from start to finish on this, helps you become self-reliant. So there's this keyword. When he tosses out, 'How about trying this?', even that feels like a sweet rain. So instead, these things are helping build the strength to become self-reliant."
He expresses gratitude that the core keywords the center director tossed his way were a great help in the development process, and that through them he was able to grow on his own.
5. Introducing the AX Champion Program and Wrap-Up 🤝
Director Yang briefly explains Vibe Coding University's corporate training, the AX Champion Program. This program isn't just outsourcing; he says it focuses on cultivating and training talent who can play the role of actual champions within companies. Member recruitment is currently in its final stages, and after some restructuring, recruitment is expected to begin again soon.
The member says Vibe Coding University is so much fun, expressing how exciting and enjoyable it is to feel this way for the first time in a long while. He adds that it's all the better because it's a place where he can share this joy with others.
"I'm having so much fun. [...] Ah, getting to feel this way for the first time in a long while was so exciting and fun. And this fun stuff—when you come here, you can share it together, too."
Wrapping up the podcast with the member, Director Yang says he hopes that, through future participation in the AX Champion Program, they'll get another chance to share even more experiences and insights down the road. The member, too, expresses his expectations for the future as the interview comes to a close.
Conclusion 🌈
This video was a great opportunity to vividly showcase Vibe Coding University's educational impact and the outstanding capabilities of its members. In particular, it made clear just how much a proactive attitude of learning and solving problems on one's own, along with high-quality educational content and the importance of mentoring, can influence one's growth as an AX consultant. Seeing Vibe Coding University's goal of "coding for fun while also making money" become a reality is sure to inspire many people! ✨