Projects
What I'm building
Most of my work centers around AI-powered learning tools, a focus that grew naturally out of the roadblocks I hit in my own studies. Whether I'm tackling Japanese or a new programming concept, I've noticed that traditional tools often become rigid right when you need them to be the most adaptive. These projects are my way of exploring how AI can fill that gap — not by handing out the answers, but by providing the flexible, personalized feedback that actually helps us grow.
Active
AntiCopilot
AntiCopilot flips the script on AI code assistants. Instead of writing code for you, it guides you through the learning process with personalized feedback, struggle signal detection, and concept-level spaced repetition — all integrated directly into VS Code.
Milestones
Review and roadmap tracking integration
FSRS review loop & practice UI
Unified API & roadmap integration
Frontend subproject started
LangGraph agent prototype
Code highlight & webview provider (PoC end)
Struggle signal & webview v1
VS Code extension first PoC
栞 (Shiori)
栞 (Shiori) combines real-world Japanese content with hybrid AI evaluation to provide meaningful feedback — not just correctness scores. It ingests NHK news articles, evaluates grammar through both deterministic NLP and LLM reasoning, and adapts to each learner's proficiency and weak points.
Milestones
Personalized learner profiles & analytics
Multi-language support (EN/JA/ZH-TW)
NHK news reading with TTS
Hybrid grammar evaluation (rule-based + LLM)
Initial project kickoff
Completed
AI Mini-Projects Collection
13 practical AI applications built during an AI development course — from chatbots to RAG pipelines to multi-agent systems.
Milestones
All 13 projects completed
Course started