In Episode 40, Pierson and Bilal get into something most people are completely overlooking.

Using Obsidian and local Markdown files to build a personal knowledge base that an LLM organizes, interlinks, and updates for you every single day. Your notes, your transcripts, your ideas — structured like your own Wikipedia, maintained by AI.

From there they cover:

• Why local-first AI models are winning the privacy argument
• How open source is quietly taking over
• What Opus 4.7 actually changes for developers
• Pierson's live demo of Claw Connect — a peer-to-peer protocol that lets AI agents talk directly to each other, across any model or harness
  

Two Claude Code instances. On screen. Having their own conversation. It gets wild.

Lots of rabbit holes. All worth it.

🔗 Links mentioned:

• Opus 4.7: https://www.anthropic.com/news/claude-opus-4-7
• Claude Code Routines: https://code.claude.com/docs/en/routines
• Gemini TTS: https://ai.google.dev/gemini-api/docs/models/gemini-3.1-flash-tts-preview
• Andrej Karpathy on LLM Knowledge Bases: https://x.com/karpathy/status/2039805659525644595
  
  Chapters:
  
  00:00 Episode 40 & Building a Personal Knowledge Base with Obsidian
  08:10 Daily AI Routines, Claude Code & Automating Your Workflow
  13:46 Local AI Models, Open Source & the Privacy Argument
  24:29 Opus 4.7, Energy, Intelligence & What's Next
  39:37 Introducing Claw Connect: Peer-to-Peer Agent Communication
  56:18 Two AI Agents Talking Live & the Future of Agent Collaboration
  

🐦 Follow the hosts:

• Pierson → https://x.com/piersonmarks
• Bilal → https://x.com/deepwhitman
  

📺 More episodes: https://www.youtube.com/@JellypodAi