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

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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

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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

Your AI tool isn't broken. It's just full.

Hi, I'm Mike Fox, host of this podcast, "Lone Wolf Unleashed." I help solo founders systemise their businesses so they can switch off sooner and live larger. This week I'm pulling back the curtain on a real data project: 103,000 rows, a client locked into Microsoft Copilot, and a categorisation task that would've taken weeks to do manually.

Here's what I worked through — and what you can take straight into your own business.

The context window is the AI's working memory. Once it runs out, the quality of your outputs tanks — or the conversation just stops. Understanding this constraint is the difference between AI that saves you hours and AI that wastes them.

Working within real-world limitations (not every client is on Claude), I built a strategy to break down a massive data set into token-efficient chunks, set up a structured workflow for Microsoft Copilot to process them in sequence, and then used a manager-agent review layer to QA the outputs before any human had to.

The same principles apply whether you're running Claude, ChatGPT, or whatever tool your organisation has decided is the one. The constraints change. The framework doesn't.

What you'll learn:

• What a context window is and why it limits what your AI can do with large data sets
• How to make your data and your prompts token-efficient before you send them
• A practical chunking strategy for splitting large Excel or CSV files across multiple AI sessions
• How to use a manager-agent role to review and QA your AI outputs
• Which model settings to use for heavy analytical tasks

If you're using AI to make decisions — not just write emails — this episode is for you.

Resources, frameworks, and tools: lonewolfunleashed.com/resources

Mentioned in this episode:

This podcast is part of the Podknows Podcasting ICN Network

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Running your own business shouldn’t feel like a never-ending marathon. If you’re clocking 60-hour weeks and dreaming about hiring your first employee just to claw back some sanity, this episode is for you.

Hi, I'm Mike Fox, host of this podcast, "Lone Wolf Unleashed." In this episode I'm tackling the not-so-glamorous reality of delegation—why just deciding “I’ll get someone in to handle my marketing” won’t cut it, and why human beings bring as much risk as reward.

Forget wishful thinking: you’ll learn why setting up solid processes, documenting your tasks (with templates to shave off real hours), and mapping out a hiring strategy are essential before posting a job ad or starting interviews.

Timestamped summary:

00:00 Setting up a hiring process

04:57 Delegating tasks in your business

09:46 Crafting interview questions and contracts

13:21 Delegating your first hire

Mentioned in this episode:

This podcast is part of the Podknows Podcasting ICN Network

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Most people building dashboards start in the wrong place. They worry about charts, colours, and layouts — when the real work happens long before any of that.

Hi, I'm Mike Fox, host of this podcast, "Lone Wolf Unleashed." In this episode, I walk you through what actually needs to happen before a dashboard can tell you anything useful. Drawing on a real client scenario — a growing business moving from a file-based system to a CRM — I break down the data foundations you need in place first.

We cover the sales pipeline as the most logical starting point, why tracking inquiry-to-answer time can expose problems you didn't know you had, and how a shorter sales cycle directly improves your cash flow. I also explain why starting manually — before you automate anything — is the right call, and how to keep your data ecosystem simple enough to actually maintain.

If you've been thinking about dashboards, a new CRM, or just getting better visibility over what's happening in your business, this one lays the groundwork.

📥 Resources and tools mentioned: lonewolfunleashed.com/resources

Timestamped summary:

0:00 — Why visuals are the last thing to worry about

1:38 — Dashboards start with data

2:29 — Sales pipeline metrics

4:51 — Tracking DocuSign and sales cycle completion

6:20 — Why you should start manually before automating

7:30 — Connecting systems: APIs and AI agents

9:00 — Keep your data ecosystem simple

10:53 — Dashboard filters, date ranges, and wrap-up

Writing procedures has always been the part of business systemisation that nobody wants to do. It's time-consuming, it's dry, and most of the time what you end up with is a document that's too vague for anyone to actually follow.

Hi, I'm Mike Fox, host of this podcast, "Lone Wolf Unleashed."

In this episode, I walk you through the Claude SOP skill I've built inside my Obsidian workspace — a five-stage framework that takes raw inputs (a description, a transcript, some rough notes) and produces a complete, high-fidelity standard operating procedure that a delegate can follow without asking you a single question.

I cover the five workflow stages: scoping the task, gathering raw materials, building the procedure, running quality checks, and presenting the document for review. I also walk through a real example — the webinar setup procedure I built for my wife, who's just joined the business — and share how the same approach produced a 148-page procedure for a client that was 85% accurate straight out of the gate.

If you're ready to start handing work off to other people, this is where you start.

Visit lonewolfunleashed.com/resources to find more useful help.

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Most solo founders think an org chart doesn't apply to them — because it's just them. In this episode, I'm going to change your mind on that.

Hi, I'm Mike Fox, host of this podcast, "Lone Wolf Unleashed." In this episode I'm breaking down the three layers of work that exist in every business — Run, Serve, and Change — and explaining why understanding them now, before you hire your first person, could save you hundreds of thousands of dollars in wasted productivity down the track.

The biggest mistake I see solo founders make isn't hiring too early. It's handing off the wrong layer of work first. When your frontline people are forced to make structural decisions on the fly — decisions that should already be defined for them — everything slows down, errors creep in, and you end up taking the work back and doing it yourself. Sound familiar?

Getting your structure right isn't corporate overhead. It's the foundation that makes every future hire, every automation, and every AI implementation actually work.

What you'll learn:

1. What Run, Serve, and Change actually mean — and why all three exist in your business right now
2. Why collapsing these layers together is silently costing you time and money
3. How to make compliance and standards the default, not an afterthought
4. Why the serve layer is the business owner's real job — and why you can't delegate it yet
5. How this framework protects your profit as you scale from solo operator to a team

If you've ever hired someone and ended up taking the work back because it was "just easier," this episode will show you exactly why that happened.

The link to the tool I mention: https://synexia.au/

Connect with me: lonewolfunleashed.com

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I've had enough of the AI Bros on LinkedIn — and in this episode, I'm calling them out.

Hi, I'm Mike Fox, host of this podcast, "Lone Wolf Unleashed." In this episode I'm taking direct aim at the wave of self-proclaimed 'gurus' claiming to have fired their entire operations teams overnight and replaced them with AI bots. It's hype. It's harmful. And if you follow that advice, it could wreck your business.

Instead, I walk you through the measured, methodical approach that actually works: document your processes first, iterate one small change at a time, test discreetly, and never forget that people do business with people — not bots.

AI is a powerful tool. But it is not a replacement for human judgment, creativity, or the relationships that keep clients coming back. This episode gives you a grounded framework and the confidence to adopt AI the right way.

What you'll learn:

1. Why the 'fire your team, hire AI' advice is dangerous and ethically wrong
2. How documentation is the non-negotiable first step before any AI implementation
3. Why I recommend changing one small thing at a time — never entire workflows at once
4. The irreplaceable role of human connection in sales and client retention
5. How to spot the real difference between AI hype and genuine productivity improvement

If you've been tempted by the 'automate everything' crowd, this episode will set you straight.

Connect with me: lonewolfunleashed.com