
The gap between casual Claude users and people getting ten times more out of it isn't prompt craft. It's a folder. This is the basis of a personal AI operating system.Andrej Karpathy posted his "LLM Knowledge Wiki" in early April and kicked off a wave of people rebuilding their note systems — not for themselves, but for the agent. This episode is the architecture they all converge on, the master file template, and the one prompt that makes the whole thing compound.In this episode of In The Loop, I'm walking through the four jobs every personal AI operating system has to do — identity, context, skills, memory — and showing exactly how to lay them out as plain text files an agent can read. I'll cover the six sections that go into your master file, the two-hundred-line cap nobody talks about, and the session log loop that makes every day one regression test better than the last.⏭️ Episode highlights(00:45) – Why the second brain isn't for you(02:30) – Where the wave came from: Karpathy's LLM Wiki(04:15) – Identity, context, skills, memory: four jobs, one folder(06:20) – The six sections of the master file(08:40) – The two-hundred-line cap hidden in the code(10:15) – Skills folder and the slash-command workflow(12:30) – The session log loop and Boris Cherny's mundane advice(14:00) – What to do this week, full version and lightweightEpisode transcript with more resources on the Mindset AI blogIf you enjoyed this episode, rate, follow, and share. It helps others stay ahead of the latest AI trends.🤝 We're socialStay in the loop, even when you're not listening to this podcast.Jack Houghton LinkedIn - https://www.linkedin.com/in/jack-houghton1/TikTok - @jackschatsMindset AIMindset AI website - https://bit.ly/40lJr6BNewsletter - https://bit.ly/ITLnewsletterLinkedIn - https://www.linkedin.com/company/mindset-ai/YouTube - https://www.youtube.com/@GetMindsetAITikTok - @get.mindset.ai
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