I'm working on Kanji Palace (https://kanjipalace.com). It's a web app that help people learn Japanese language with AI.
Right now, I'm working on the OpenClaw-like feature. So, you can learn Japanese via Telegram. Keep track your progress. Practice conversation with your AI assistant. Etc.
Not yet. I'm still considering what content to add to the existing book. I'll likely (90% probability) include security and easy deployment. But since you said that, I'll consider the observability and compliance topics.
I'm considering adding more chapters to the book: security, easy deployment, etc. So, I may look into your solution. I believe there are other players also, like Klavis AI, FastMCP and some MCP startups that I cannot remember.
> Since we focus on extracting the official subtitles provided by YouTube, the language support is inherently tied to what the YouTube platform offers.
You can use video understanding from Gemini LLM models to extract subtitles even the video doesn't have official subtitles. That's expensive for sure. But you should provide this option to willing users. I think.
I did consider building a tool like this before I pivot to something else. I'm learning materials in Chinese Mandarin language from a YouTube playlist. NotebookLLM doesn't support Chinese language yet so you must make sure your app supports Chinese Mandarin so I can use it. :)
A way to find specific materials would be nice. Think of converting the whole playlist into something like RAG then you can search anything from this playlist.
- Working on Kanji Palace (https://kanjipalace.com): We're going to publish the iOS app on the App Store and adding vocabulary. Currently, the app converts single Kanji (e.g., 生) into vivid mnemonic images. We aim to support vocabulary like 先生.
- Writing a book about Claude Code, not just for assisted programming, but as a general AI agent framework.
Kanji Palace (https://kanjipalace.com)