Meowjection! — An AI-powered trivia court where cats judge, cards battle, and facts fight back.
- Time
- 2026-08-09 15:10 ~ 15:25
- Speaker
- 廖庭暘, 張琪鈺
- Room
- AU
- Co-write
Abstract
Have you ever wondered where the phrase “drawing a big pie” comes from? Its origin can be traced back to the Three Kingdoms period, when Lu Yu of the Wei state used the phrase “a name is like drawing a cake on the ground — it cannot be eaten” to describe something that sounds impressive but has no practical value. In other words, even a casual workplace complaint may hide an unexpected piece of trivia.
In an age of information overload, fragmented knowledge is often forgotten almost instantly. To make learning and memory more engaging, we created an open-source playful project: Meowjection! — an intelligent interactive system that combines AI Agents, trivia judgment, card battles, and a desktop virtual pet.
During everyday interactions with the Agent, the system provides not only the original response, but also a contextually relevant trivia fact and a follow-up question. When users answer correctly, they earn cat food to feed their desktop cat, improving its fullness and affection levels. As affection increases, the cat unlocks different appearances, animations, and interactive reactions, turning fragmented knowledge into a memorable pet-raising experience.
To prevent trivia from becoming random “interesting nonsense,” Meowjection! introduces an engineering-driven evaluation pipeline. Through source verification, semantic comparison, and a separate LLM judge, each trivia fact is scored across six dimensions: Novelty, Factuality, Relevance, Surprise, Interestingness, and Shareability. The result is a hexagonal rating system that transforms trivia into collectible and playable Knowledge Meow Cards.
Players can bring the Knowledge Meow Cards they earn from daily interactions into trivia battles against unknown challengers. The desktop cat also becomes a battle companion: its fullness, affection, and mood influence scoring weights, skill trigger rates, and contextual bonuses during battles. In this talk, we will break down the implementation behind Prompt Engineering, Skill design, hallucination reduction, LLM judging, and gamified battle mechanics.
Speaker
廖庭暘
來自蘭陽平原的小小工程師,目前任職於永豐金,對前後端開發都有些經驗,喜歡腦動大開做一些看起來很沒用,實際上也沒什麼用,但很有趣的事情