AI isn't taking your job. It's taking one layer of it — and most people are getting that distinction wrong.

In this episode of Lone Wolf Unleashed, I walk through a three-layer framework for understanding where AI actually fits in your business: information routing, judgement, and signals. AI is excellent at the first layer. It can't do the other two. We cover why mass layoffs are misreading the boundary, why accountability sits with you (not the model), and a simple way to find AI-ready tasks in your own day.

If you run a service-based business, this is the lens to use before you automate anything.

00:00 — The premise: AI isn't taking all the jobs

00:46 — Layer 1: Information routing (what AI is excellent at)

01:17 — Layer 2: Judgement (and the new transparency legislation)

02:04 — Layer 3: Signals in the physical environment

02:30 — Why wholesale layoffs are misreading the boundary

03:51 — Freeing middle managers to make good decisions

04:50 — How to apply this to your own business

05:55 — Worked example: my podcast content workflow

07:08 — Communication is performance

07:49 — Connected systems in 2026

08:21 — Recap of the three layers

09:37 — A 95% time-saving benchmark

10:13 — Closing thoughts

Other episodes: https://lonewolfunleashed.com/episodes/

Resources: lonewolfunleashed.com/resources

Mentioned in this episode:

This podcast is part of the Podknows Podcasting ICN Network

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Most AI agent content is hype. This isn’t.

I’m Mike, host of Lone Wolf Unleashed.

This week I walk you through how I implemented my first AI agent team using Paperclip — an open-source multi-agent platform — and more importantly, the methodical approach that made the result controllable rather than chaotic.

The short version: I started with a target operating model in Obsidian, not with the tool.

People, process, technology, on a page.

I handed the architecture to Claude, spun up a “CEO agent” in Paperclip, and let it form a team — CTO, business analyst, content writer, marketing manager, clips publisher — that now runs my content pipeline from Asana through Descript, SharePoint and into Metricool.

Architecture before automation.

Human-in-the-loop, non-negotiable.

You’re still the master of your business.

Listen to hear me walk you through it.

Chapters

00:00 First AI agent team, implemented

00:30 Why Paperclip (and going from local to cloud)

01:18 Starting with a target operating model in Obsidian

02:03 Handing the architecture to Claude

02:22 The CEO agent spawns the team

03:40 The content workflow: Asana → Descript → SharePoint → Paperclip → Metricool

05:04 Matching agents to models: Opus, Sonnet, Haiku

05:56 Routines instead of manual triggers

06:40 What took the time (spoiler: it wasn’t the agents)

07:34 Human-in-the-loop and run history

09:10 You are the master of your business

10:54 The 80/20 rule for phase-one builds

Resources: lonewolfunleashed.com/resources

Mentioned in this episode:

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Check out the "Websites Made Simple" podcast with Holly Christie at https://websitesmadesimple.co.uk/

This podcast is part of the Podknows Podcasting ICN Network

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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Check out the "Websites Made Simple" podcast with Holly Christie at https://websitesmadesimple.co.uk/

This podcast is part of the Podknows Podcasting ICN Network