FlowZone

Mark Kentwell

FlowZone Podcast is where high performers, entrepreneurs, and world-class thinkers break down the systems, habits, and mindsets that fuel peak performance — without burnout. If you want to work smarter, perform better, and live with more energy, you’re in the right place. Welcome to the FlowZone.

  1. Aug 1

    How to Get Your Team Actually Using Claude at Work

    I bought Claude AI for more than 20 employees. When I checked the usage data, more than half had not opened it once that month. In this episode, Mark reveals what AI adoption actually looks like inside his 45-person business—and why some of his highest performers were using it the least. He breaks down the three reasons employees ignore AI tools, from the “blank box” problem to packed calendars, before sharing four practical changes that increased adoption: ship finished solutions, automate existing pain points, embed AI into current workflows and give people their time back first. If you have invested in AI for your business but nothing has changed, this episode will show you how to turn unused subscriptions into tools your team actually uses. 1:16 — The Real Shape of AI Adoption in a 45-Person Business 3:07 — Reason #1: The “Blank Box” Problem 4:04 — Reason #2: The Cost Is Now, but the Payoff Is Later 5:19 — Reason #3: There Is No Room in the Calendar 6:06 — Fix #1: Stop Training and Start Shipping Solutions 6:50 — Fix #2: Automate Where the Business Is Already Leaking 7:28 — Fix #3: Put AI Inside the Existing Workflow 8:03 — Fix #4: Give People Their Time Back First 8:49 — How to Measure Whether AI Is Actually Working 9:34 — Why You Should Target the Middle Group, Not the Zeros 10:08 — Three Questions Before Buying Another AI Licence Follow Mark Kentwell: Instagram: https://www.instagram.com/mark_kentwell/ TikTok: https://www.tiktok.com/@mark_kentwell LinkedIn: https://www.linkedin.com/in/markkentwell1/ Mark’s Businesses: Presence Real Estate: https://presence.realestate/ Nexr: https://nexr.com.au/

  2. Jul 27

    I Spent 120 Hours Building an AI System—Was It Worth It?

    This AI automation system reduced projected personal-brand content costs from $40,000 to roughly $7,000 per month—without removing the human editor. Mark Kentwell reveals how he built an in-house AI content workflow designed to support 20 team members at scale. After building 14 versions himself and investing more than 100 hours, Mark explains why he eventually handed development to an AI engineer. He shares his impact-versus-effort framework, the correct order for automation, and why businesses should delete broken processes before using AI to make them permanent. You’ll also discover the four AI systems Mark would prioritise first—from inquiry routing and database reactivation to content production and customer satisfaction—and the expensive software mistake he believes founders should avoid. 3:15 — Inside the AI Content System Running the Team 4:19 — What AI Removed—and Why the Human Editor Stayed 4:58 — 14 Versions and 120 Hours—Why Mark Stopped Building 7:06 — The Impact vs Effort Framework for Choosing AI Projects 8:41 — Delete, Simplify, Accelerate, Automate 9:13 — The AI Leaderboard Mark Killed Before Launch 9:52 — AI System #1: Inquiry Routing and Sales Workflows 11:02 — AI System #2: Database Building and Reactivation 11:49 — AI Systems #3 and #4: Content, Satisfaction and Reviews 12:57 — What Not to Build—Don’t Create Another CRM Follow Mark Kentwell: Instagram: https://www.instagram.com/mark_kentwell/ TikTok: https://www.tiktok.com/@mark_kentwell LinkedIn: https://www.linkedin.com/in/markkentwell1/ Mark’s Businesses: Presence Real Estate: https://presence.realestate/ Nexr: https://nexr.com.au/

  3. Jul 17

    Learn Claude CoWork In 15 Minutes (Beginner Guide)

    Claude Code lets non-technical business owners build internal tools, automate workflows and analyse data without writing code. In this practical tutorial, Mark shows how to create a safe workspace, migrate your existing business knowledge into a CLAUDE.md file, choose the right AI model, use skills and sub-agents, and avoid security risks such as prompt injection. He also reveals the live business operating system he built for Presence's Property Concierge, consolidating onboarding, sales funnels, role accountability, objections and live advertising performance into one interactive platform. You’ll also discover five practical Claude Code use cases for content creation, competitor research, data analysis, website development and AI search visibility — plus the three mistakes beginners must avoid. 0:33 — The Safe Setup — Create Your First Claude Code Workspace 3:03 — The Insider Settings — Models, Costs and Sub-Agents 4:19 — Claude Skills Explained — Teach It Once, Use It Forever 5:02 — The Security Risk Most Claude Code Tutorials Ignore 7:27 — Inside the Business OS — Funnels, Roles and Live Data 9:49 — 5 Claude Code Tools Every Business Can Build 13:38 — 3 Claude Code Mistakes Beginners Must Avoid 14:23 — Chat Knows, Co-Work Operates, Code Builds Follow Mark Kentwell: Instagram: https://www.instagram.com/mark_kentwell/ TikTok: https://www.tiktok.com/@mark_kentwell LinkedIn: https://www.linkedin.com/in/markkentwell1/ Mark’s Businesses: Presence Real Estate: https://presence.realestate/ Nexr: https://nexr.com.au/

  4. Jul 10

    Claude Cowork Basics: How To Get AI Doing Real Work

    Claude Cowork can research, write, organise and build for your business while you are in meetings, or asleep. But most founders are still using Claude like a chatbot and wondering why they are doing all the work themselves. In Episode 2 of this Claude AI series, Mark reveals how he uses Claude Cowork as an AI operator across research, content production, operations, admin and live business dashboards. He also breaks down the four-part briefing framework that prevents generic outputs, how to create an overnight AI workflow, where connectors and skills fit, and the three tasks you should never hand over without proper guardrails. This is the practical Claude Cowork setup for founders who want to automate repetitive work, increase output and build an AI-powered operating system without hiring another team member. 01:01 — Claude Chat vs Cowork: Thinker or Operator? 02:36 — Content Production in Your Voice, Brand and Style 03:13 — Automating Operations, Admin and Repetitive Work 03:42 — Build Live Dashboards Without a Developer 05:17 — Why Most Claude Cowork Prompts Fail 05:43 — The 4-Part Brief: Goal, Context, Guardrails, Format 07:38 — The Overnight Workflow: Get Work Done While You Sleep 08:18 — Connectors, Permissions, Scheduling and Skills 10:35 — 3 Tasks You Should Never Hand to Cowork 11:56 — Claude Chat, Cowork and Code: The Full AI Stack Follow Mark Kentwell: Instagram: https://www.instagram.com/mark_kentwell/ TikTok: https://www.tiktok.com/@mark_kentwell LinkedIn: https://www.linkedin.com/in/markkentwell1/ Mark’s Businesses: Presence Real Estate: https://presence.realestate/ Nexr: https://nexr.com.au/

  5. Jul 3

    Learn Claude in 17 Minutes (Beginner Guide)

    📍Comment “Setup” below and I will send you my full Claude business setup, including every template and prompt. 📍First 50 comments also get my Project Starter Pack and MSP email template free. In this episode, Mark breaks down how to turn Claude into a practical AI operating system for your business, without coding, complex tech, or a full AI team. He also explains the biggest mistakes people make with Claude, why dumping PDFs into AI can waste tokens, and how to decide which tasks to automate first. If you want to use Claude AI for real business productivity, better decision-making, admin automation, client prep, daily briefs, and building your own AI stack, this episode gives you the foundation. 1:03 — Claude Chat, Coworker & Claude Code 2:05 — Claude Pro vs Max: Which Plan To Choose 3:30 — Layer 1: Account Personalisation & ChatGPT Memory 4:54 — Layer 2: Projects, RAG & Markdown Files 5:53 — Layer 3: Skills, Code Execution & Plug-Ins 6:42 — Layer 4: Connectors, MCPs & Business Tools 8:07 — Layer 5: Your AI Knowledge Base 11:01 — Haiku, Sonnet & Opus: Which Model To Use 12:19 — 3 Simple Claude Workflows Every Business Can Run 13:21 — What To Avoid When Building With AI 14:33 — The 4 Filters For Choosing AI Projects 15:55 — What’s Coming Next: Claude Coworker & Claude Code Follow Mark Kentwell: Instagram: https://www.instagram.com/mark_kentwell/ TikTok: https://www.tiktok.com/@mark_kentwell LinkedIn: https://www.linkedin.com/in/markkentwell1/ Mark’s Businesses: Presence Real Estate: https://presence.realestate/ Nexr: https://nexr.com.au/

  6. Jun 25

    Claude Fable 5 BANNED - What You Should Do Next

    AI model bans, broken agents, and single-provider risk are becoming a real problem for founders building with AI and why relying on one AI provider, one API, or one model is not a strategy, it is a single point of failure? After the overnight Fable 5 shutdown, Mark unpacks a more practical alternative to “just go local”: building a multi-provider AI stack with a model router, private hosted models, frontier models, and local fallback options. He explains why most businesses do not need the biggest model for every task, how private AI infrastructure can protect IP, and why tools like LiteLLM are designed to route requests across providers with fallback logic. If you are a founder, operator, or business owner building AI agents, automations, or internal workflows, this episode is a practical look at how to make your AI stack more resilient, private, and cost-effective. 0:20 — Fable 5 Disappears Overnight — The Risk No Founder Can Ignore 1:11 — The Hidden Cost of Running Frontier Models Locally 1:55 — The Model Router Strategy — Multi-Provider AI Without Fragility 2:23 — LiteLLM Explained — Routing Across OpenAI, Anthropic, Google & Private Models 2:41 — Private AI in Practice — A 10-Person Dev Team Case Study 3:24 — Fit for Purpose AI — Why Bigger Models Aren’t Always Better 3:50 — Cheaper Internal AI Workflows — Transcription, Agents & Automation 4:11 — The New AI Stack — Frontier, Private & Local Fallback 4:51 — What Mark Is Building Next — Follow the Full Setup Follow Mark Kentwell: Instagram: https://www.instagram.com/mark_kentwell/ TikTok: https://www.tiktok.com/@mark_kentwell LinkedIn: https://www.linkedin.com/in/markkentwell1/ Mark’s Businesses: Presence Real Estate: https://presence.realestate/ Nexr: https://nexr.com.au/

  7. Jun 19

    AI Engineers: What They Cost, Where to Find Them, and What They Actually Do

    How do you get AI agents working inside your business, without becoming the person who builds them? Australian real estate founder Mark Kentwell (Presence Real Estate Group) breaks down the full AI engineer hiring blueprint: what the role actually is, the 4 hiring models available in Australia, real cost comparisons, and the 4-question filter every AI project must pass before you spend a dollar. Mark shares his own experience, including a $75,000 outsourced project that blew out in scope and time, later rebuilt for a fraction of the cost using offshore AI engineers, to give you an unfiltered, founder-to-founder guide on where to start, what to avoid, and why waiting will only make it more expensive. Whether you're a $2M or $50M turnover business, this is the roadmap he wishes he'd had. 0:29 — Who Is Mark Kentwell — Third 8-Figure Company, Sharing the Roadmap Live 1:41 — The 3 Traps Founders Fall Into Before Hiring Right 2:23 — What an AI Engineer Actually Is — And What They're Not 3:01 — The 4-Question Filter — Every AI Project Must Pass This First 3:46 — The 4 Hiring Models — DIY, BPO, Done-With-You & Full Agency 7:45 — Full Cost Breakdown — Australia vs US, All 4 Models Compared 9:53 — The $75K Project That Blew Out — And How AI Engineers Fixed It for Less 10:48 — The Hidden Risk Nobody Talks About — Failed Hires, Security Incidents & Lost Revenue 11:57 — Should You Start Now or Wait? — Why Waiting Makes It Harder & More Expensive Follow Mark Kentwell: Instagram: https://www.instagram.com/mark_kentwell/ TikTok: https://www.tiktok.com/@mark_kentwell LinkedIn: https://www.linkedin.com/in/markkentwell1/ Mark’s Businesses: Presence Real Estate: https://presence.realestate/ Nexr: https://nexr.com.au/

  8. Jun 12

    How AI Helps Me Scale Without Breaking the Business

    Scaling a business is not the same as growing a business, and in this episode, Mark breaks down the exact frameworks behind building a company that compounds without falling apart. Using Presence Real Estate Group as the live case study, he unpacks the Theory of Constraints, the Flywheel Effect, and Hamilton Helmer’s Seven Powers to show how real enterprise value is created, protected, and scaled. He also breaks down how AI fits into the system, why automation must come last, and the maths behind Presence’s roadmap from around $15M enterprise value to $250M+. If you’re a founder, operator, real estate business owner, or growth-focused leader trying to scale without losing quality, this episode gives you a practical blueprint for building a defensible business flywheel. 1:54 — Theory of Constraints — Finding the Real Bottleneck 2:49 — The Flywheel Effect — How Compounding Momentum Works 4:07 — Seven Powers — Building Defensible Enterprise Value 4:55 — The Presence Flywheel — Property Concierge at the Centre 6:00 — 7 Business Constraints — What Holds Real Estate Firms Back 7:49 — Agent Loyalty & Ownership — Solving the Talent Problem 10:30 — Rent Roll & Enterprise Value — Protecting Recurring Revenue 11:57 — 7 Powers in Action — Why the Model Is Hard to Copy 15:13 — AI Inside the Flywheel — Automate Last, Scale Faster 17:00 — The $250M Maths — 10,000 Customers, 10X Multiple

See All (71)

About

FlowZone Podcast is where high performers, entrepreneurs, and world-class thinkers break down the systems, habits, and mindsets that fuel peak performance — without burnout. If you want to work smarter, perform better, and live with more energy, you’re in the right place. Welcome to the FlowZone.

Information

  • Creator
    Mark Kentwell
  • Years Active
    2025 - 2026
  • Episodes
    71

You Might Also Like