February 10
45 mins

Episode Description

What we cover

  • What Claude Code is (and why it’s useful even if you’re not an engineer)
  • The real difference between Claude in the browser vs. Claude Code on your machine
  • Using /init and Claude MD files to shape behavior and context
  • The “treat it like an intern” model: limiting access and building a walled garden
  • Why task management is a great first use case (easy to validate + fast feedback loops)
  • Exporting calendar windows vs. connecting Claude directly to your calendar
  • Switching models for speed: when Haiku is “good enough” and when you need more
  • When Claude Code spirals on web tasks (and how to debug it by asking: “What are you doing?”)
  • Content retrieval as a killer workflow: “Where have I talked about this before?”
  • Building reusable workflows: slash commands, sub-agents, hooks, and plugins
  • Teresa’s publishing stack: titles, descriptions, show notes, chapters from transcripts
  • Fact-checking workflows: validating claims against transcripts and research sources
  • Using Claude for audience analytics and content prioritization (with caveats)
  • A deep nerdy detour: Zettelkasten-style research and using Claude to improve rigor

Memorable moments / quotes (paraphrased)

  • Petra’s metaphor: Claude Code is like a dog—sometimes it returns with the stick, sometimes it gets lost in the woods.
  • The “intern” framing: don’t hand Claude the whole company on day one—scope access intentionally.
  • Teresa’s output jump: more writing volume without (in her view) losing quality—because the workflow scaffolding got better.

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