8 of 81 min

The VoxBase series is over

I’ve told how voice notes, TikTok, YouTube and podcasts turn into Markdown and become part of my working memory.

But memory itself isn’t made only of transcripts.

You also need a system that can store context and the links between notes, projects and decisions.

So the next posts will be about my MCP server for Obsidian and how language models get access to the knowledge inside my base.

And then I’ll return to transcription.

Because the next step turned out to be far more interesting.

If VoxBase works after a conversation, LiveContext works during it.

But that’s a different story altogether, coming soon 💻

Series contents
  1. Why voice notes usually die
  2. How VoxBase turns an iPhone recording into Markdown
  3. Why Whisper isn't the main thing here: VAD, chunks and audio preparation
  4. The signal chain: how sound is prepared for recognition
  5. Why VoxBase runs locally and on its own
  6. Voice Reference: how the system knows which voice is mine
  7. ClipMind: how TikTok, YouTube and Apple Podcasts turn into Markdown
  8. The VoxBase series is over