LARRUZFounder | Author & Creator of BYOAI

My Personal Favorite Deep Research Use Case 👌

18 Feb 2025 · 1 min

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0:58

Speaker LARRUZ describes applying OpenAI's deep research feature to a personal goal: improving at League of Legends (aiming to climb from silver to diamond) by focusing on a single champion. They report the feature produced a comprehensive high-level guide that covered gameplay aspects and even uncovered unconventional/"fishy" strategies (e.g., an article recommending dodging games). The speaker also notes prior high-level experience: at age 19 they had two accounts in the top 1.1% worldwide ladder.

Questions this video answers

Diamond (starting from Silver).

Top 1.1% of the worldwide ladder (when they were 19).

Chapters

Okay, so this deep research feature from OpenAI is a serious, serious release. So then I had to take it and apply it to something that I personally enjoy. I love to play games, sometimes concretely League of Legends. And concretely, there's one champion in there that I want to learn more about and get better with here. My outcome was that I wanted to improve my rank from silver to diamond in the video game League of Legends. I focused it on a champion and it came up with a comprehensive guide. And let me just give you some context. I have quite a bit of experience in this game. Back When I was 19, I actually had two accounts that were in the top 1.1% of the worldwide ladder. But let me tell you that this in depth guide is actually incredible. Not just that it hits on every aspect of what playing the game at a high level entails, but it even goes into fishy strategies that I don't think you would just get straight from an LLM or any typical article. For example, in here it found one article where dodging games is recommended. Now, this goes against the terms of service against the game, I believe, and it recommends you do that if you want to climb, which is a good strategy. But you know, this is not something that you'll find in like an official tutorial.