Efficient AI Knowledge Wiki Strategy
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Efficient AI Knowledge Wiki Strategy
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Are your AI tools burning through tokens faster than ever? You're not alone — and in this episode I'm sharing the framework that's changed how I manage knowledge and query AI at scale.
I'm Mike from Lone Wolf Unleashed — I help solo founders build business systems so they can switch off sooner and live larger. Today I'm walking through Andrej Karpathy's wiki methodology, how to implement it in Obsidian, and why it reduces AI token consumption by up to 85% compared to traditional approaches.
I also cover how I've applied this directly to Lone Wolf Unleashed — building a target operating model, setting up agent teams in Paperclip, and designing a content production architecture that closes the gap between production and distribution for a solo operator.
If you're hitting your AI limits, spending too much on token-heavy workflows, or just looking for a smarter way to manage your business knowledge — this one's for you.
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Chapters
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00:00 — Introduction: Token limits and why this matters for solo founders
00:43 — How Andrej Karpathy's wiki methodology works
02:50 — Setting up a wiki ingest workflow in Obsidian
03:33 — Why the wiki is 80–85% more token efficient
04:38 — Visualising knowledge connections with Obsidian's graph view
05:56 — Replacing a team of analysts as a solo operator
06:43 — Target operating models and the 5Ps framework
07:50 — Introducing Paperclip and automated content production
10:13 — Building an AI Business Analyst assistant
13:00 — What this means for your business and your life
14:21 — Resources and wrap-up
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RESOURCES
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Wiki resources and setup guide: https://lonewolfunleashed.com/resources
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CONNECT
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Website: https://lonewolfunleashed.com
Email Mike: mike@lonewolfunleashed.com
Mentioned in this episode:
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This podcast is part of the Podknows Podcasting ICN Network