My Way Or The AI Way

Should your business pay for Microsoft Copilot… or switch to ChatGPT Business?Most Microsoft business users don’t realise there’s a hidden version of Copilot already included in their licence. In this episode, AI consultant and author Inbal Rodnay breaks it all down: what Copilot can do, how it compares to ChatGPT, the real cost differences, and how to choose the right AI tool for your team.If you’re a business owner, manager, or IT leader trying to decide between Microsoft Copilot vs ChatGPT, this is the clearest explanation you’ll find.In this episode we cover:The difference between Microsoft Copilot, Copilot for Microsoft 365, and Copilot ChatWhat ChatGPT Business actually offers compared to ChatGPT PlusThe pros and cons of each tool for small and mid-sized businessesA major Copilot feature 90% of Microsoft users don’t know aboutWhen it makes sense to pay for Copilot 365When ChatGPT Business might still be the better optionSecurity, privacy and data-governance considerationsThe impact of GPT-5 inside Copilot and ChatGPTWhy Copilot adoption has suddenly improved in 2025–2026A Power User’s personal workflow using Copilot, ChatGPT, Claude, Gemini, Perplexity Coment and Notion AI.If your business already uses Microsoft 365, this episode could save you a lot of money.Before you buy AI licences for your staff, watch this.About My Guest – Inbal RodnayInbal is an AI implementation specialist, keynote speaker and author of “AI Magic: Six Steps to AI Mastery in Your Firm.” She has won several awards including FinTech Leader of The Year 2025 and Most Innovative Women in Technology 2025, Silver Medalist.Inbal advises professional services firms, SMEs and leadership teams on safe and effective AI adoption.Connect with Inbal:https://www.inbal.com.au/ https://www.linkedin.com/in/inbalrodnay/ Connect with Scotthttps://www.linkedin.com/in/davisonscott/ Chapters00:00 Introduction 01:54 Microsoft Co-Pilot versus Chat GPT Business - which to choose?02:39 Understanding ChatGPT Business05:41 Understanding Microsoft Co-Pilot06:09 The hidden secret most people don't know about Co-Pilot08:25 Comparing Costs of Chat GPT and Co-Pilot11:57 Use Cases for paid version of Microsoft Copilot15:16 Mobile and Desktop Applications of Copilot17:43 Integrating Co-Pilot with Microsoft Services19:10 ChatGPT Business vs. Co-Pilot: Making the Right Choice21:38 Why Microsoft Co-Pilot is now a no-brainer for 202622:59 The Competitive Landscape: Google vs. Microsoft vs. OpenAI26:43 Navigating Multiple AI Tools: A Power User's Perspective30:25 Choosing the Right AI Tool for Your Business Needs34:12 Summary and last thoughts

Wikipedia is one of the top sources used by AI tools like ChatGPT and Google’s AI Overviews, and it still shapes what shows up when you search for a brand, a person, or a business online.In this episode, I speak with Bill Beutler, founder of Beutler Ink and one of the world’s leading Wikipedia experts. Bill has been a volunteer editor since 2006 and runs the Notability Company, a PR firm built around Wikipedia’s strict sourcing standards.Together, we unpack how Wikipedia actually works, how it influences AI models, and what business owners and individuals should know if they want to build a legitimate presence on the platform.If you’ve ever wondered how Wikipedia pages get created, what “notability” really means, or why AI relies so heavily on Wikipedia… this is the episode for you.What we coverHow Wikipedia is edited, moderated and kept accurateWhy Wikipedia still matters in the AI eraHow AI models use Wikipedia as a trusted training sourceWhat “notability” really means (and how to qualify)Mistakes businesses make when trying to edit or create pagesEthical ways to build a Wikipedia presenceHow to fix errors on your company page the right wayWhy media coverage, not marketing, determines eligibilityChapters00:00 Introduction to Wikipedia02:14 The Mechanics of Wikipedia04:17 AI's Impact on Wikipedia06:24 Editing Wikipedia: The Human Element08:54 Navigating Wikipedia's Guidelines11:47 Notability and Eligibility for Wikipedia Pages14:29 Building Media Coverage for Notability17:15 Mistakes to Avoid on Wikipedia19:49 Conclusion and Resources for Wikipedia Engagement🔗 Resources MentionedBeutler Ink: https://beutlerink.comThe Notability Company: https://thenotability.coWiki Resource Library (guides + how-tos): https://beutlerink.com/wiki-resourcesWikiProject AI Cleanup: (useful for understanding AI-generated edits)Why This MattersWikipedia is still one of the most influential knowledge sources in the world.Even as AI changes how we search, Wikipedia remains a foundational database of trusted information used by:GoogleChatGPTPerplexityGeminiBingAnd countless AI-powered search toolsFor businesses and personal brands, understanding how Wikipedia works is becoming a crucial part of modern reputation management.

If you are curious about AI agents and how they actually work in a real business, this is the episode to watch.In this conversation I speak with Gabriele Sanguigno, CEO of Toothfairy AI. They have been building AI agents for six years, well before ChatGPT made the idea mainstream, and they work with businesses of all sizes who want to automate real tasks with agentic AI.In this interview we cover what an autonomous agent is, how it differs from a chatbot, why so many AI agent projects fail, and what smart businesses are doing differently. We also talk about the mindset shift leaders need to make, the hybrid workforce, the skills required to manage agents, and the emerging opportunities for small businesses who want to go AI first.If you are a business owner, consultant, marketer or leader who is thinking about using AI to create leverage, reduce repetitive work and scale your team without increasing headcount, this episode will give you a clear and realistic starting point.Watch this before you build any AI agents of your own.What you will learnWhy most AI agents fail and how to avoid the common trapsThe difference between chatbots and true autonomous agentsHow small businesses can gain a competitive advantage by being AI firstHow multi-step agentic workflows actually workHow to build a hybrid workforce of humans and agentsWhat skills do you need internally to set up and maintain AI agentsPractical starting points for SMBsWhat an AI-driven business may look like in three to five yearsResourceshttps://toothfairyai.com/https://www.linkedin.com/in/gabriele-sanguigno/ Chapters00:00 Introduction to Tooth Fairy AI and Gabrielle Sanguino01:40 Gabriele's Background and the Evolution of Tooth Fairy AI04:16 Understanding Autonomous Agents vs. Traditional AI07:33 Different options for implementing AI Agents and Workflows11:52 Customizable AI Agents and Their Applications13:41 The two most common uses of AI Agents amongst business users18:17 Emerging Trends: Agentic Tooling and Multi-Step Automation21:47 The Hybrid Workforce: AI in Small Businesses24:19 Mindset Shifts for Adopting AI Agents26:02 Cognitive Amplification and Realistic Expectations28:32 Understanding AI Implementation Costs30:42 The Role of Technical Expertise in AI Adoption34:28 The Future of Business with AI38:26 Productivity Gains and Employee Well-being

Learn how I built my first AI agent using ChatGPT and n8n. In this episode, I break down what AI agents are, how they work, and how you can start automating your business step by step.If you’ve ever wondered how AI agents actually work, or how to build one yourself, this episode breaks it all down step by step.I’ll walk you through how I built my first AI agent using n8n and ChatGPT, what I learned along the way, and how you can start using AI agents and automations inside your own business.We’ll cover what AI agents are, how they differ from traditional automations, the tools available, and real examples of where small businesses can save time and money by automating repetitive tasks.Whether you’re an entrepreneur, marketer, or business owner looking to work smarter, this episode will give you a clear, practical foundation to start experimenting with AI agents — no coding required.What's includedWhat AI agents and automations actually areThe best tools for building your first agent (Zapier, Make.com, n8n, ChatGPT)A real demo of the AI agent I built for business-card managementLessons learned — what worked, what didn’tDesign principles for building reliable AI workflowsWhere this technology is heading in 2025 and beyondChapters00:00 Introduction to AI Agents00:48 The Landscape of AI Agent Builders and Automation Tools03:27 Agent vs Automation – The Three Levels04:50 The Anatomy of an AI Agent06:33 Where Could Businesses Be Using AI Agents?08:02 Building a Simple AI Agent with N8n – Here’s What I Learned15:23 Overview of N8n Integrations, Templates and Workflows17:06 Design Principles and Best Practices for Building AI Agents18:17 Looking Ahead – Where Are Things Heading with AI Agents?21:10 Summary – Where to Use AI Agents in Your Business#AIAgents #n8N #Automations

Most businesses avoid documenting their Standard Operating Procedures (SOPs)… until it hurts. In this episode, I show a 10-minute AI workflow to turn a quick screen recording + commentary into a clear, agent-ready SOP. You’ll see what worked (NotebookLM) and what didn’t (my first ChatGPT upload), plus the exact prompt + guardrails I use so AI sticks to your source and doesn’t invent steps.You’ll learnThe fast record → transcribe → generate SOP methodWhy SOPs = strategic advantage for the 2026 AI agent waveMy ChatGPT vs NotebookLM test (wins + fails and the workaround)How to write guardrails (“use only the video/transcript”) to stop AI adding stepsAdding acceptance checks & flowcharts so someone (or an agent) can follow itFuture-proofing: document intent + steps, and keep passwords out of SOPsChapters00:00 The Importance of SOPs in Business01:00 What is an SOP and why are they important?02:41 What business processes require an SOP?03:21 How to create an SOP document using AI'05:44 Demonstration of my SOP for podcast publishing15:46 Future-Proofing Your SOPs16:48 Summary and outroHere is the refined prompt I usedROLE: You are an expert process documentation specialist. CONTEXT: Attached is a screen recording/transcript of “[PROCESS NAME] at [COMPANY].TASK: Create a clear, self-contained SOP that a new person can follow and an AI agent can learn from. STYLE: Concise, action verbs, scannable bullets.IMPORTANT: Use only the information contained in the video recording and/or transcript. Do not include any steps or information not explicitly in the video. Instead, Flag missing info as OPEN QUESTIONS.BEFORE YOU TAKE ACTION: Do you have any questions?If this helped, subscribe for weekly, practical AI for business owners. Share this with someone who keeps “meaning to” document processes. Got a question or a win? Drop it in the comments—I read them.#SOP #AI

Want to get smarter every single day, without hours of study?In this episode, I share 6 practical AI hacks that make learning effortless through micro-learning.From identifying random things with your phone camera, to simplifying complex topics, to using AI as your personal tour guide or language tutor, these everyday tricks can help you rediscover your curiosity and learn faster, anywhere, anytime.I’ll show you how I use ChatGPT and other AI tools to:Answer all the “why” questions (without judgment)Turn confusing concepts into simple diagrams and analogiesSummarize entire books in minutesLearn languages on the goGet fun facts and history lessons in real timeIt’s about making learning fun again—just 1% smarter every day.If you’ve ever wished you had a teacher in your pocket, this episode is for you.👉 Don’t forget to subscribe for more AI tips, tools, and real-world hacks.👉 Share in the comments how YOU use AI to learn something new every day.Chapters00:00 Rediscovering Curiosity Through AI with Micro-learning00:55 Micro Learning: Small Steps to Knowledge01:40 Example 1: Identifying random things with the camera02:58 Example 2: Simplifying and explaining complex concepts05:32 Example 3: Book Summaries with AI07:29 Example 4: Language tips when travelling08:19 Example 5: A virtual tour guide for historical context08:55 Fun Daily Facts10:57 Summary of Micro-learning with AI12:22 Embracing Curiosity and Lifelong Learning

Are AI tools ready to become your personal tutor? In this video, I put ChatGPT 5’s new Study Mode head-to-head with Google’s Notebook LM to see which one is the ultimate AI study companion.Whether you’re a student cramming for an exam, a professional looking to upskill, or just a curious mind who loves learning, this comparison will show you exactly what each tool can (and can’t) do.I’ll walk you through real-world use cases, from summarising textbooks and creating flashcards to testing knowledge, quizzing interactively, and even learning a new language with AI. By the end, you’ll know which tool is better for YOUR study style and why this could be the beginning of an AI revolution in education.What You'll Learn:How ChatGPT Study and Learn Mode works (and where to find it)My experience using it to prepare for a certification examHow Notebook LM compares for summarising, flashcards, quizzes & study notesThe verdict: which AI tool wins in different scenariosSurprising ways ChatGPT can act as your language tutorWhy AI might change education foreverChapters00:00 Introduction to ChatGPT 5 and Study Mode03:10 Use Case 1: Study for an exam with ChatGPT Study Mode12:14 Use Case 2: Studying for an exam with Google Notebook LM21:34 The verdict - which tool is better?22:15 Use Case 3:  Using ChatGPT Study Mode to learn a language28:13 Other Use Cases for ChatGPT Study Mode30:18 Conclusion - the AI Revolution for education is here👉 Don’t forget to subscribe for weekly episodes of My Way or the AI Way, where I explore how AI can transform business, learning, and everyday life.💬 Have you tried ChatGPT Study Mode or Notebook LM yet? Drop a comment below and let me know which one you prefer!

The AI Tsunami is upon us, so it’s time to grab a surfboard and learn to surf. In this short, practical episode, I share the 7 mindset shifts I’m using as a business leader to move from overwhelm to action. If you’re a CEO, founder or senior exec wondering how to adopt a growth mindset for AI, without getting lost in tools, this is your playbook. We cover why it’s not too late to start, the surf analogy, why AI is a team member, not just software, the co‑pilot ≠ autopilot rule, pointing AI at your highest‑value work, and how to disrupt yourself before someone else does.If this helps, follow the channel and drop a comment below. What you’ll learnHow to reframe AI from fear → focus using the dichotomy of controlWhy late movers can still leapfrog by starting now (with a simple 10‑day practice)The “learn to surf” approach: rapid experiments over theoryHow to onboard AI like a smart junior (role, context, examples, success criteria)The co‑pilot principle: use AI to level up quality, not cut cornersTargeting AI at strategy, decisions, synthesis (your highest‑value tasks)A simple question to disrupt yourself and future‑proof the businessResources & quotes mentionedSerenity Prayer (attributed to Reinhold Niebuhr)Epictetus - “Some things are in our control and others not.”Phil Edwards - “The best surfer out there is the one having the most fun.”Gary Keller & Jay Papasan, The ONE Thing — focusing questionJeff Woods, The AI‑Driven Leader -  “What do I need to do, and how can AI help?”Daniel Priestley (paraphrase): “Imagine the business that would put you out of business and build it.”Chapters00:00 The AI Tsunami: Embracing Change00:30 Mindset Tools for Thriving in AI01:03 Mindset 1 - Controlling What You Can Control02:33 Mindset 2 - It's Not Too Late to Start05:49 Mindset 3 - Learn to Surf06:40 Mindset 4 - Think of AI as a 'team member' not a piece of software08:24 Mindset 5 - Use AI to be better (not lazy)09:50 Mindset 6 - Use AI for your highest value task11:18 Mindset 7 - Be Your Own Disrupter12:38 Summary and recap

ChatGPT has been around since November 2022, and it now has over 700 million active users. But most people are only scratching the surface of what it can actually do.In this episode I take you on a quick-fire tour of 15 ChatGPT features that every user should know. Whether you’re brand new or you’ve been using ChatGPT for a while, this episode will give you practical tips, hidden tricks, and advanced features that can help you move from beginner → intermediate → pro.I’ll show you how I actually use these features day-to-day in my own business and personal life, with screen-shares, examples, and personal anecdotes along the way.Chapters00:00 Introduction to ChatGPT and Its Popularity01:19 Key Features of ChatGPT for Users01:30 Beginner Tips01:42 1. Download the mobile app02:18 2. Protect your privacy03:25 3. Enter Custom Instructions to personalize ChatGPT05:35 4. Manage Memories08:15 5. Temporary Chat09:15 The Basics09:23 6. The three ways to communicate with Chat GPT10:57 Advanced Audio Mode and Interaction13:01 7. Ways to share content with Chat GPT15:46 Intermediate Features16:01 8. Projects and project specific memory feature20:35 9. Custom GPTs22:41 Exploring Advanced Features of ChatGPT22:56 10. Canvas feature24:48 11. Deep Research - one of my favourite features28:09 12. Image Creation29:08 13. Writing Code with Chat GPT29:33 14. Study Mode30:34 15. Agent Mode - new feature32:12 Summary and reader commentsIf you’ve ever wondered:What’s the difference between projects and custom GPTs?How can I make ChatGPT remember me without oversharing?What advanced features like Deep Research, Canvas, and Agent Mode can really do?…this episode is for you.What You’ll LearnHow to set up ChatGPT properly before you even startTips to protect your privacy and customise ChatGPT’s personalityThe “intern analogy” that changes the way you think about training AIWhen to use Temporary Chat vs. MemoryThe three different ways to interact: typing, dictation, and advanced voice modeHow to share files, images, and even live video for richer conversationsWhy Projects and Custom GPTs serve different purposesMy favourite advanced features: Canvas, Deep Research, and moreLet's connectIf you found this helpful, hit subscribe and let me know in the comments which feature you’re going to try first. I read every comment and your feedback helps me shape future episodes.And if there’s a particular AI tool, workflow, or use case you’d like me to cover, drop it below, I’d love to hear from you.

Tired of spending hours fixing fonts, nudging boxes, and rebuilding slides in PowerPoint? This episode shows a faster, AI-first way to make professional presentations using Gamma, and why pairing it with ChatGPT can cut your deck time from days to minutes. Perfect for consultants, marketers, founders, teachers, and leaders who make slides every week and want quality without the grind.In this video, I demo three practical ways to use Gamma:One-shot prompt – go from blank page to a clear, structured deck in minutes.From an existing doc – turn a long/boring PDF or report into a tight presentation.Hybrid workflow – my preferred ChatGPT → Gamma copy-paste approach (outline in ChatGPT, build/design in Gamma).You’ll see how to:Generate solid first-draft slides with strong structure (titles, bullets, speaker notes).Refine quickly with layouts, sections, images, and on-brand themes.Convert long documents (e.g., policy papers, reports) into clear, audience-friendly visuals.Decide when to export to PowerPoint, Google Slides, or PDF for hand-off and collaboration.Avoid common pitfalls (over-generating, messy layouts, generic visuals) with simple prompt tweaks.Why this matters:Speed: Ship decks in hours, not days.Clarity: Start from a structured outline instead of a blank slide.Quality: Consistent, on-brand looks without pixel-pushing.Flexibility: Export to your team’s preferred tool when needed.Chapters 00:00 Finally – a new approach to building slide presentations 00:31 Exploring Gamma: A New Tool for Presentations 01:00 Live demo of Gamma.app 02:35 Demo 1 – create a presentation from a single prompt (one-shot) 08:37 Demo 2 – Create a presentation from an existing document 14:21 Demo 3 – My preferred workflow – the hybrid approach using ChatGPT and Gamma in tandem 17:48 How to apply this to your situation 19:08 Sanity check and conclusionWho this is for:Consultants & marketers: client decks, proposals, campaign plans.Executives & team leads: strategy updates, board packs, all-hands.Teachers & trainers: lesson plans, training modules, workshops.Founders & creators: investor decks, product overviews, webinars.Tools used:Gamma (AI-first presentations, documents, and webpages)ChatGPT (for fast outlining, rewriting, and idea development)Transparency: I use AI tools in this demo. I recommend adding a small slide note such as “Slides prepared with AI assistance (Gamma/ChatGPT)” for good practice.If this saves you time, please like, subscribe, and share with a colleague who’s still wrestling PowerPoint. Got questions, or want my prompt template? Drop a comment and I’ll help.

Looking for practical ways to improve decision-making with AI? In this episode, I’ll show business leaders and entrepreneurs how to use AI tools and proven decision-making models to make smarter, faster, and more confident business decisions.Making big business decisions can feel overwhelming. Move too fast and you risk mistakes. Move too slow and you miss opportunities. In this episode, I’ll show you how to use AI as a thought partner to make faster, smarter, and more confident decisions.We’ll apply proven decision-making models — including the OODA Loop, Daniel Kahneman’s work on cognitive biases, and Edward de Bono’s Six Thinking Hats — to show how AI can enhance, not replace, your leadership.By the end, you’ll have practical prompts you can use right away to strengthen your decision-making and stay firmly in the driver’s seat.What you’ll learn in this episode:How the OODA Loop helps leaders make strategic decisions quickly and effectivelyWhy decision-making models like Six Thinking Hats and Kahneman’s heuristics matter — and how AI can help you apply themHow to use AI as a research assistant, challenger of assumptions, and strategy coachThe difference between decisions AI can automate (like pricing or fraud detection) and the big, strategic calls that require your judgmentWhy AI is your thought partner, not your replacementResources & Links: Connect with me on LinkedIn: https://www.linkedin.com/in/davisonscott/

Most leaders are using AI for low-value tasks like drafting emails, but the real opportunity lies in applying AI to your highest-value leadership responsibilities. In this episode, I share five core leadership skills that AI can supercharge, helping you think bigger, decide faster, and lead more effectively.You’ll see exactly how to use AI as a strategic thought partner - not to replace your judgment, but to make you sharper, more informed, and more impactful in every decision.Whether you’re a CEO, team leader, or business owner, these are practical, high-leverage AI applications you can start using today.What you’ll learn:How AI can help you brainstorm, stress-test, and refine your strategic plansWays to make faster, more confident decisions without “paralysis by analysis”How to tailor your vision for different stakeholders with AI-assisted messagingUsing AI to identify skill gaps, hire smart, and develop your teamLeveraging AI as your productivity coach to focus on what matters mostChapters: 00:00 Unlocking AI's Potential for Leadership 01:31 The 5 Core Leadership Skills 02:46 1. Strategic Planning 04:51 2. Decision Making 06:25 3. Communication 08:35 4. People Management 10:13 5. Prioritization: Focusing on What Matters 11:41 Summary and Next StepsResources & Links:Books: The AI-Driven Leader, by Geoff Woods - https://www.aileadership.com/book  Continue the discussion💬  Please drop your thoughts in the comments below. How are you using AI as a leader? Has this changed your perspective?

In this episode, I sit down with Inbal Rodnay, AI implementation expert and author of AI Magic, to walk through a practical, six-step playbook for embedding AI across a business safely, sanely, and with momentum. We dig into leadership alignment, smart tool choices, responsible use, and how to turn experiments into real workflows that actually save time.What you’ll learnA simple six-step arc: align leadership, pick the right tools, build a usable policy, train your team, create momentum, and embed AI into workflows.Why it’s OK (and efficient) to sit a step behind the “explorers” and focus on business value over app-chasing.The “three rings” radar for tools: what to use now, what to watch, and what to ignore as noise.How to run training that sticks: role-specific examples, live demos, and sharing wins/misses in a team channel.Responsible-use basics to include in your AI policy: confidentiality, disclosure, verification, and when to use temporary/no-storage modes.About my guestInbal Rodnay helps professional-service firms and SMBs adopt AI with confidence. Her new book AI Magic distills the process into six clear steps you can start applying today.Links and ReferencesInbal’s website: https://www.inbal.com.au/ Inbal’s book: AI Magic - 6 Steps to AI Mastery In Your FirmChapters00:00 Introduction to Inbal Rodnay and her journey to AI06:33 The Six Steps to AI Mastery06:55 Step 1 - Leadership alignment09:56 Step 2 -  Tool Selection13:01 Step 3 - Developing AI Policies19:50 Step 4 - Training25:55 Step 5 - Building Momentum28:06 Step 6 - Innovation Frameworks31:01 Further discussion on tools

If you're using ChatGPT for your business but still getting generic, AI-sounding output, this episode is for you.I’ll show you three simple documents you can create (in under 10 minutes) that will dramatically improve the quality, consistency, and relevance of ChatGPT’s responses.Think of it like onboarding a new staff member. Give ChatGPT your:Tone of Voice – so it sounds like youIdeal Customer Profile – so it writes for your audienceBusiness Plan or Goals – so it understands your strategyI’ll walk you through exactly how to create each one, using prompts you can copy and paste. And to make it real, I demo all three using a fictional brand from a past episode.Whether you’re running a solo business or managing a team, this is a foundational step for getting real ROI from ChatGPT.The 3 Promts I used are:"Please help create a tone of voice guide for [insert brand name] What do you need to know to help with this task?"Can you help me write an Ideal Customer Profile for [Insert brand]? Ask me any questions you need to help build it"I'd like to create a one-page business plan for [insert company]. Ask me anything you need to help write it."Chapters00:00 Transforming ChatGPT for Business Success02:12 1. Crafting Your Tone of Voice Document with ChatGPT07:34 2. Defining Your Ideal Customer Profile with ChatGPT09:56 3. Creating a One-Page Business Plan with ChatGPT12:02 How to use these documents to power up ChatGPT15:00 Wrap up and next steps16:01 Outro music courtesy of Mupert 💬 Have questions or feedback? Drop them in the comments. 🔔 Subscribe to get next week’s episode.

Can you really build a working web app without writing a single line of code?In this beginner-friendly walkthrough, I put Lovable.dev to the test and show you exactly how I used vibe coding—a term popularised by Andrej Karpathy—to spin up an interactive Seinfeld trivia app in under two hours. You’ll see the full workflow, from prompting Lovable’s AI builder to integrating a Supabase database, tweaking UI colours, and fixing game-flow logic… all while staying under the free-tier token limit. If you’re curious about AI app builders or looking for a fast prototype tool, this demo is for you.What you'll learnWhat “vibe coding” means and why it matters for non-developersTool comparison: Replit vs Bolt vs Lovable (and why I chose Lovable for this demo) Building the MVP: user sign-up, quiz logic & leaderboardLive prompt-driven edits (colour change, retry logic)Cost & token tips for Lovable’s free plan Chapters00:00 Introduction to Vibe Coding01:39 What could you build with vibe coding? 03:07 What vibe coding tools are available and which do I recommend? 06:22 My first attempt at vibe coding with Lovable - I built an online Seinfeld Trivia quiz game10:20 Live demonstration of Lovable.dev19:04 How to integrate a database with Lovable using supabase20:36 Final thought - Vibe coding is like a super power. It makes you more creative. 22:28 My way or the AI way Remix - courtsey of Mubert - 5 sec.mp3Resources and linksTry my Seinfeld Trivia Quiz (MVP) - https://soup-nazi-challenge.lovable.app Sign up to Lovable: https://lovable.devConnect with me on LinkedIn: https://www.linkedin.com/in/davisonscott/ 

In this quick-fire episode, I show you five ways I use ChatGPT every day in my kitchen—from slashing my grocery bill to running a hands-free “audio sous-chef” while I’m at the stove. If you’ve ever wondered how AI can make cooking cheaper, healthier, and way more fun, you’re in the right place.What you'll learn:Brainstorm dinner & weekly meal plans in seconds (goodbye, “What’s for dinner?” panic).Save real money by letting ChatGPT optimise your shopping list and reuse leftovers.Cook with confidence: use ChatGPT’s voice mode as a virtual sous-chef that sets timers and answers “Is this done yet?” on the fly.Hit your nutrition goals by turning the AI into a personal dietitian.Store every winning recipe in a searchable ChatGPT Project so you never lose your favourites again.Chapters00:00 Introduction — Why use AI in the kitchen?01:55 1. Brainstorming Dinner Ideas & Meal Plans03:38 2. Saving Money on Grocery Bills06:20 3. Virtual Sous-Chef (Audio Mode Demo)07:41 4. Dietitian / Food Coach Prompts08:47 5. Virtual Recipe Cloud (ChatGPT Projects)11:04 Summary & Takeaways12:14 My Way or the AI Way Remix (5 sec)If you got value from this, hit follow so you don’t miss future AI hacks for work and life.#ChatGPT #KitchenHacks #SaveMoney #MealPlanning

Ever wished you could ping Richard Branson for business advice at 6 a.m. or have Gordon Ramsay critique tonight’s dinner? In this episode, I show you exactly how to create a digital clone of any famous thinker and keep them on call inside ChatGPT. You’ll watch me demo my Mark Manson-style coach and get my three-step framework (plus copy-and-paste prompts) to build your own.What you’ll learnThe “Voice Bible” method I use to capture an expert’s tone, principles, and quirks—so your clone sounds uncannily real.How a short user-profile prompt lets your AI mentor tailor every answer to you.A start-to-finish walkthrough of the Custom GPT builder—no coding, just smart prompts.Pro tips for running multiple gurus side-by-side (and even @-mentioning them in the same chat).Why “cloning” isn’t sci-fi—it’s just large language models predicting what your hero would say next.ResourcesVoice Bible Prompt – generates a concise persona doc for any expert.User-Profile Prompt – ten questions that build a 200-word bio GPT can learn from.Custom GPT Setup Script – the exact instructions I paste into the builder.Grab all three in the free Google Doc here:  Try it & let me know Who are you going to clone? Let me know in the comments. Chapters00:00 Introduction to AI Coaching00:53 Where the idea for a Pocket Guru came from05:19 The 3 Step process I used to create a Pocket Guru (Custom GPT)06:55 Demo - how my Mark Manson GPT works11:52 Demo - how to build your custom GPT20:21 Final thoughts and encouragement21:21 My way or the AI way Remix - courtsey of Mubert - 5 sec.mp3

Students and curious learners, buckle up. In this solo walkthrough, I share my end-to-end AI study workflow, from finding credible sources to locking them into memory, using two free tools you can start with today:Perplexity.ai – the research power-house that surfaces sources and cites them.Notebook LM (Google beta) – your personal reading coach, audiobook narrator, quiz-master and mind-mapping sidekick.What you'll learnPrompt like a pro – the exact template I drop into Perplexity to get PhD-level briefs.Turn dense PDFs into podcasts – let Notebook LM read any doc aloud while you cook, drive or walk.Generate study guides & self-quizzes in seconds –spaced-repetition without the flash-card grunt-work.Visual aids & mind-mapping – why teaching the material back to yourself locks it in.A peek at where AI learning is headed next (multi-modal, voice-first, real-time).Chapters00:00  Introduction – How AI can super-charge your learning skills01:00  Perplexity.ai – Researching any topic04:56  Notebook LM – Reading, retaining & understanding information09:21  Demo: Notebook LM’s audio function10:22  Overview of other Notebook LM features14:09  Visual aids & mind-mapping14:31  The future of AI in learning16:20  “My Way or the AI Way” remix (courtesy of Mubert)Resources and LinksPerplexity.ai (free) → https://www.perplexity.aiNotebook LM (Google beta) → https://notebook.google.com/lm Huberman Lab episode on Study Protocols for learning & memory → https://www.youtube.com/watch?v=ddq8JIMhz7c Key Take-awaysContext is king: richer prompts = richer answers.Audio + active recall beats passive reading.The Research, Reading and Revision steps are merging into one AI-assisted loop—and early adopters win.👉 Try It & Tell MePut the workflow to the test on your next big topic (exam, project, hobby) and DM me on LinkedIn: Which part saved you the most time? If you need the prompt pack or slide deck, just ask - happy to share.https://www.linkedin.com/in/davisonscott/

I share the step-by-step process I followed to reduce my annual car-insurance premium by $472 in less than 30 minutes.After walking through the personal example, I outline how AI can also assist with more complex business negotiations, from supplier contracts to six-figure SaaS renewals.With AI as your partner, there is no excuse to go into any negotiation unprepared. Turning ChatGPT into a policy analyst – how I asked the model to review my renewal documents and highlight every potential saving.Building a like-for-like market comparison – the prompt that produced a clear table of alternative quotes from seven insurers.Preparing a concise negotiation script – the structure ChatGPT suggested for my opening request, follow-up questions, and closing statement.Implications for comparison websites – why instant, AI-driven analysis may change how we shop for insurance and other services.Simple privacy safeguards – the setting changes you should make before sharing any personal document with an LLM.Applying professional negotiation models to larger deals – mapping the process to frameworks such as Harvard Principled Negotiation, the Seven-Elements checklist and the Toulmin ModelResources and Links mentionsRuben Hassett’s LinkedIn post on three high-impact negotiation prompts: https://www.linkedin.com/posts/ruben-hassid_i-never-negotiate-without-chatgpt-here-activity-7344318645918912515-_NpY My LinkedIn thread detailing this insurance exercise:https://www.linkedin.com/posts/davisonscott_lucky-im-with-ai-this-morning-my-carinsurance-activity-7342768444305567744-omww Let's continue the discussionHave you used AI to reduce a household bill or improve a business deal? I’d enjoy hearing your experience. Connect with me on LinkedIn or post your comments below. Chapters00:00 Introduction - how i saved $472 on car insurance using AI03:11 Step 1: review your current policy05:39 Step 2: conduct a market comparison using AI07:50 Step 3:  Summarise key negotiation points and competitor rate, including a sample script08:15 Step 4:  get on the phone and negotiate a better price. 09:46 What does this mean for comparison sites?10:14 How to protect your privacy12:16 How to use AI for complex business deals and contract negotiation18:50 My way or the AI way Remix - courtsey of Mubert - 5 sec.mp3

In this episode, I dive into OpenAI’s new report, “Identifying and Scaling AI Use Cases” and break its insights down into six practical buckets any business can use:Content Creation – the starting point for most of us.Research – lightning-fast competitor intel and market sizing.Coding – from dev productivity to “vibe-coding” for non-coders.Data Analysis – an on-demand data analyst in your pocket.Ideation & Strategy – my favourite AI brainstorm partner.Automations – the not-so-sexy time-saver that points straight to AI agents.Along the way, I share how I’m already using each bucket in my consulting work, plus a quick review of Gamma.app, the AI presentation builder I used to create the slides that kept this episode on track.If you’re wondering where to start with AI, or where to go next, this framework will help you spot the gaps and the opportunities.“Primitives” explained: why thinking in fundamental tasks (not job titles) makes AI adoption easier.Real-world examples for marketing, sales, product, HR and financePersonal stories of the time, money and creative boost I’m already seeing.Why automations (and soon, autonomous agents) might be the biggest win of all.References:* Gamma.app (AI Presentation builder) https://gamma.app/ * Open AI Report: https://cdn.openai.com/business-guides-and-resources/identifying-and-scaling-ai-use-cases.pdf Chapters00:00 Introduction to the six Business Use Cases for AI03:25 1. Content Creation05:50 2. Research07:59 3. Coding11:04 4. Data Analysis12:48 5. Ideation & Strategy14:29 6. Automations17:46 My way or the AI way Remix - courtsey of Mubert - 5 sec.mp3