AI is supposed to make you faster. So why are you more buried than ever?

I'm Mike Fox from Lone Wolf Unleashed — and in this episode, I'm talking about something I'm living right now: AI burnout. Not the kind where you're exhausted from using AI, but the kind where AI has moved so fast through the front end of your processes that you've become the bottleneck. Multiple clients. All at the same stage. All waiting on me.

This episode is a systems diagnosis of a problem every solo founder is going to hit as they adopt AI tools — and a practical framework for what to do about it.

What you'll learn:

• Why AI creates a "wave" of output that crashes into the human layer of your process
• How running multiple client projects in parallel compounds the bottleneck effect
• Why you can't just throw unreviewed AI output at clients — and what's actually at stake when you do
• The "unicorn hire" mistake most business owners make when they finally decide to bring someone on
• What a "pilot" actually looks like — and why that's the person you need, not a technical specialist
• How to use part-time contractors and VAs to unblock specific functions without over-hiring

If you're starting to move faster with AI but feeling more overwhelmed, not less — this one is for you.

Head to lonewolfunleashed.com/resources for tools and frameworks to help you manage what AI is building up in your business.

Mentioned in this episode:

This podcast is part of the Podknows Podcasting ICN Network

Blogging Masterclass with Holly Christie, Nikki Pilkington and Kane Mitchell

https://websitesmadesimple.co.uk/masterclass

Lots of people are handing work to AI agents and crossing their fingers. This episode is about doing it properly.

Hi, I'm Mike, host of Lone Wolf Unleashed.

This week I walk you through the controlled, step-by-step method for transitioning your work into an AI agent team — so you stay in control, your quality holds, and you don’t end up with an agent deleting your production database.

The short version: you don’t hand everything over on day one.

I'm going to teach you "The Two-Lane Method" and explain how to hand work to AI Agents in a controlled way.

And I bring receipts.

One of my own processes went from three weeks to four hours. A 96% time reduction.

Listen to hear me walk you through it.

00:00 Transitioning work to AI agents in a controlled manner

00:16 Back from the Investors Forum — Sydney & Melbourne

00:36 Warren Otter’s multimillion-dollar exit story

01:02 Human in the loop — what it means and why it matters

01:24 How I build AI skills from real work

02:14 Process diagrams, LinkedIn, and learning by doing

02:39 From task-based to workflow-based thinking

03:20 Why you can’t hand everything to an agent team on day one

04:18 The two-lane model: your lane vs the agent team’s lane

05:10 Shifting reviews down into the agent lane

05:40 What to keep in your lane vs what to delegate first

06:44 Why control matters: the AI database deletion story

07:27 Build skill by skill, then string into a pipeline

07:58 Using separate manager and QA agents for review

08:51 Why it’s not just “checking its own homework”

09:55 The end state: one input, one output, you’re not in the middle

10:28 Real result: a task reduced by 96%

10:50 The business requirements document use case

13:07 From three weeks to four hours

13:17 What this means for your business

14:00 Resources at lonewolfunleashed.com

Resources: lonewolfunleashed.com/resources

Mentioned in this episode:

This podcast is part of the Podknows Podcasting ICN Network

You might also like...

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

Everything will still be here when we get back to AI...

Hi, I'm Mike, host of Lone Wolf Unleashed.

This week I'm doing something a little different — zooming out from all the systems, the tools, and the tech to talk about the thing that actually underpins everything in your solo business: you.

If you're a solo founder, you know the feeling. Work coming from every direction. Kids getting sick. Clients to juggle. Hours that never seem to end. You started this business for a reason — flexibility, financial freedom, intergenerational wealth, doing cool stuff with cool people. Whatever it was, it was yours.

But somewhere along the way, you've become one person working two people's hours.

This episode is about zooming out and remembering why.

I walk you through the first P in my Five P Framework — Persona — and why getting clear on who you are, what you value, and why you started has to come before any system you build. Your values don't just inform your decisions — they determine them. Which platforms you use. How your processes run. What you do and don't send.

Your dreams are the architecture.

Your systems are built to serve those dreams.

The solo business is you.

And that's not a motivational slogan. It's operational reality.

Chapters

00:00 Taking a break from AI — zooming out

00:36 The thing that matters most in your solo business

01:00 Solo founders: getting hit from every side

02:16 The solo business is you

02:48 Why Mike started his business

03:46 What are your reasons? Zoom out.

04:43 Sitting in the car in tears — keeping going anyway

05:28 Good systems make the dream possible

05:56 The Five P Framework: Persona first

06:49 How your values shape your decisions and processes

07:33 Systemisation starts and ends with you

08:16 It's okay not to want this anymore

09:31 Wrap-up: reaffirming why you're in this

Resources: lonewolfunleashed.com/resources

Mentioned in this episode:

This podcast is part of the Podknows Podcasting ICN Network

You might also like...

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

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

You might also like...

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

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:

You might also like...

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.

──────────────────────────────

Chapters

──────────────────────────────

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

──────────────────────────────

RESOURCES

──────────────────────────────

Wiki resources and setup guide: https://lonewolfunleashed.com/resources

──────────────────────────────

CONNECT

──────────────────────────────

Website: https://lonewolfunleashed.com

Email Mike: mike@lonewolfunleashed.com

Mentioned in this episode:

You might also like...

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

You might also like...

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

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

You might also like...

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