
Hosted by Mike Fox · EN

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 processHow running multiple client projects in parallel compounds the bottleneck effectWhy you can't just throw unreviewed AI output at clients — and what's actually at stake when you doThe "unicorn hire" mistake most business owners make when they finally decide to bring someone onWhat a "pilot" actually looks like — and why that's the person you need, not a technical specialistHow to use part-time contractors and VAs to unblock specific functions without over-hiringIf 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 NetworkBlogging Masterclass with Holly Christie, Nikki Pilkington and Kane Mitchellhttps://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.Chapters00:00 Transitioning work to AI agents in a controlled manner00:16 Back from the Investors Forum — Sydney & Melbourne00:36 Warren Otter’s multimillion-dollar exit story01:02 Human in the loop — what it means and why it matters01:24 How I build AI skills from real work02:14 Process diagrams, LinkedIn, and learning by doing02:39 From task-based to workflow-based thinking03:20 Why you can’t hand everything to an agent team on day one04:18 The two-lane model: your lane vs the agent team’s lane05:10 Shifting reviews down into the agent lane05:40 What to keep in your lane vs what to delegate first06:44 Why control matters: the AI database deletion story07:27 Build skill by skill, then string into a pipeline07:58 Using separate manager and QA agents for review08:51 Why it’s not just “checking its own homework”09:55 The end state: one input, one output, you’re not in the middle10:28 Real result: a task reduced by 96%10:50 The business requirements document use case13:07 From three weeks to four hours13:17 What this means for your business14:00 Resources at lonewolfunleashed.comResources: lonewolfunleashed.com/resourcesMentioned in this episode:This podcast is part of the Podknows Podcasting ICN NetworkYou 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.Chapters00:00 Taking a break from AI — zooming out00:36 The thing that matters most in your solo business01:00 Solo founders: getting hit from every side02:16 The solo business is you02:48 Why Mike started his business03:46 What are your reasons? Zoom out.04:43 Sitting in the car in tears — keeping going anyway05:28 Good systems make the dream possible05:56 The Five P Framework: Persona first06:49 How your values shape your decisions and processes07:33 Systemisation starts and ends with you08:16 It's okay not to want this anymore09:31 Wrap-up: reaffirming why you're in thisResources: lonewolfunleashed.com/resourcesMentioned in this episode:This podcast is part of the Podknows Podcasting ICN NetworkYou 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.Chapters00:00 — The premise: AI isn't taking all the jobs00:46 — 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 environment02:30 — Why wholesale layoffs are misreading the boundary03:51 — Freeing middle managers to make good decisions04:50 — How to apply this to your own business05:55 — Worked example: my podcast content workflow07:08 — Communication is performance07:49 — Connected systems in 202608:21 — Recap of the three layers09:37 — A 95% time-saving benchmark10:13 — Closing thoughtsMore from Lone Wolf UnleashedOther episodes: https://lonewolfunleashed.com/episodes/Resources: lonewolfunleashed.com/resourcesMentioned in this episode:This podcast is part of the Podknows Podcasting ICN NetworkYou 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.Chapters00:00 First AI agent team, implemented00:30 Why Paperclip (and going from local to cloud)01:18 Starting with a target operating model in Obsidian02:03 Handing the architecture to Claude02:22 The CEO agent spawns the team03:40 The content workflow: Asana → Descript → SharePoint → Paperclip → Metricool05:04 Matching agents to models: Opus, Sonnet, Haiku05:56 Routines instead of manual triggers06:40 What took the time (spoiler: it wasn’t the agents)07:34 Human-in-the-loop and run history09:10 You are the master of your business10:54 The 80/20 rule for phase-one buildsResources: lonewolfunleashed.com/resourcesMentioned 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 founders00:43 — How Andrej Karpathy's wiki methodology works02:50 — Setting up a wiki ingest workflow in Obsidian03:33 — Why the wiki is 80–85% more token efficient04:38 — Visualising knowledge connections with Obsidian's graph view05:56 — Replacing a team of analysts as a solo operator06:43 — Target operating models and the 5Ps framework07:50 — Introducing Paperclip and automated content production10:13 — Building an AI Business Analyst assistant13:00 — What this means for your business and your life14:21 — Resources and wrap-up──────────────────────────────RESOURCES──────────────────────────────Wiki resources and setup guide: https://lonewolfunleashed.com/resources──────────────────────────────CONNECT──────────────────────────────Website: https://lonewolfunleashed.comEmail Mike: mike@lonewolfunleashed.comMentioned 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 setsHow to make your data and your prompts token-efficient before you send themA practical chunking strategy for splitting large Excel or CSV files across multiple AI sessionsHow to use a manager-agent role to review and QA your AI outputsWhich model settings to use for heavy analytical tasksIf you're using AI to make decisions — not just write emails — this episode is for you.Resources, frameworks, and tools: lonewolfunleashed.com/resourcesMentioned in this episode:This podcast is part of the Podknows Podcasting ICN NetworkYou 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 process04:57 Delegating tasks in your business09:46 Crafting interview questions and contracts13:21 Delegating your first hireMentioned in this episode:This podcast is part of the Podknows Podcasting ICN NetworkYou might also like...Check out the "Websites Made Simple" podcast with Holly Christie at https://websitesmadesimple.co.uk/
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/resourcesTimestamped summary:0:00 — Why visuals are the last thing to worry about1:38 — Dashboards start with data2:29 — Sales pipeline metrics4:51 — Tracking DocuSign and sales cycle completion6:20 — Why you should start manually before automating7:30 — Connecting systems: APIs and AI agents9:00 — Keep your data ecosystem simple10:53 — Dashboard filters, date ranges, and wrap-upMentioned in this episode:This podcast is part of the Podknows Podcasting ICN NetworkYou might also like...Check out the "Websites Made Simple" podcast with Holly Christie at https://websitesmadesimple.co.uk/
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.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