Start With AI

Start With AI Podcast Authentic, Practical AI for Coaches, Practitioners & Change-Makers Welcome to Start With AI—the podcast where real-world change-makers discover honest, step-by-step ways to use AI in their practice—without the jargon, overwhelm, or hype. Whether you’re a coach, NLP expert, energy healer or transformational practitioner, you’re in the right place. Each week, we break down the practical, no-fluff actions that help you serve more clients, work smarter, and build a thriving, heart-led business in today’s digital world. Join your host for candid conversations, live AI clinic sessions, and inspiring stories from practitioners just like you—people stretching, stumbling, and succeeding with simple, human-first AI. You’ll get bite-sized strategies, myth-busting insights, and support to bring your unique magic forward—always clear, always actionable, always real. Ready to demystify tech and unlock genuine transformation? Together, let’s start with AI—honest, human, and made for you.

Start With AI is a business podcast hosted by Unknown Host, with 0 episodes on record and a Required Pod Score of 80.

Unknown Host hosts Start With AI, a business show with 0 episodes published.

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

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  Episode #44

  When the AI Territory Changes, Change the Map

  Oct 6, 202625 minS1

  The map is not the territory — that's the blunt, slightly dramatic thing we keep coming back to: our old mental maps of how work gets done are busted because AI has changed the ground beneath our feet. We walk you through why slapping a clever chatbot into a broken process is just “doing the wrong thing faster” (hello, polished mediocrity) and why the real job is to redraw workflows around AI’s strengths while keeping humans firmly in the accountability driver’s seat. We share a proper, unglamorous case study — board minutes — where redesigning the process into AI draft + human audit cut production from five days to two and a half, and taught the team more about their own system than years of meetings ever did. Along the way we riff on the four pillars the author recommends — culture, system, human–AI design and capability — and why mastering judgement, not just prompts, is the career-defining skill now. We also laugh (and wince) at the terrifying intern analogy — an always-on, confident AI that can scale mistakes faster than you can say “hallucination” — and explain how to avoid driving into the lake. This episode was AI-generated by NotebookLM based on the LinkedIn Start With AI Newsletter, and we promise it’s the friendly nudge you need to pull out a fresh sheet of paper and redraw your map for the AI era. The Details If you’re in leadership, this one’s for you: we unpack why adoption metrics lie and how to build a durable AI strategy. We argue that measuring success by licences deployed or hours saved is dangerously myopic — usage is not capability and adoption is not value. We run the horrid arithmetic: an hour “saved” by a sloppy AI report can create six hours of downstream rework, turning apparent wins into negative productivity. Our source lays out four pillars you can implement today: culture (psychological safety and clear narratives about jobs), system (clean data and documented processes), human‑AI design (deliberate division of labour between algorithm and human), and capability (training people to spot hallucinations and exercise judgement). We pepper the conversation with cheeky metaphors — houses built on shifting soil, jalopies with Ferrari engines, confident but incompetent interns who never sleep — but we’re deadly serious about governance. The path forward isn’t techno‑determinism or hand‑wringing resistance; it’s co‑evolution. We leave you with a provocation: rather than mastering this week’s perfect prompt, cultivate the habit of tearing up stale maps and confidently drawing new ones tomorrow. That, we say, is the real competitive advantage. Chapters: 00:10 - Trusting the GPS: The Lake Surprise 01:07 - Core Deep Dive: "The Map Is Not the Territory" 06:55 - Major Pivot: From Prompt Engineering to Fixing the System 15:08 - Rethinking AI Success: Adoption Isn't Value 18:44 - The Four Pillars of Sustainable AI Implementation Takeaways: We frame the core idea as 'the map is not the territory' — meaning organisations can't just drop AI into outdated processes without redrawing those processes or they'll end up driving straight into a metaphorical lake. I keep joking about blindly following the robotic voice, but fluency doesn't equal accuracy: AI can produce convincing text that is factually wrong and legally risky if unchecked. We loved the board minutes case study: breaking the task into AI draft nodes plus human verification halved production time from five days to two and a half. As NotebookLM-generated content based on the LinkedIn Start With AI Newsletter, we warn that measuring success by adoption or hours saved is misleading; adoption is not the same as capability or value. We outline four pillars — culture, system, human‑AI design and capability — that must all support each other, because a Ferrari engine in a jalopy still crashes if the wheels fall off. My practical advice: don't obsess over the perfect prompt; instead learn to redraw your map continuously, design intentional hybrid workflows, and train people to aggressively verify AI outputs. Companies mentioned in this episode: Claude ChatGPT Ferrari

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  Episode #43

  Your NLP Training Manual is Already an AI Spec

  Oct 5, 202623 minS1

  In today's episode, we show how to turn AI from a bland, generic appliance into a highly personalised tool that actually speaks and thinks like you by treating models as temporary environments and encoding your identity in local NLP-based “voice files” and an AI brain. I walk through Heather’s method — granular written voice specs (including lists of forbidden words), logical levels mapped to simple markdown files on your machine, and the idea that ChatGPT or Claude are just swappable ovens in your kitchen. We give concrete examples: a Language Pattern Practice app that gamifies audio drills (yes, people were doing it at 11pm — witchcraft, I tell you) and a Strategy Detective that runs tote loops to pull out submodalities via a voice-only interface. Crucially, we stress that AI is a lightning-fast pattern generator but blind to micro‑cues, so the human retains veto power with a simple keep/edit/reject workflow — reject is practically sacred. That flips your professional value from churning content to exercising real-world discernment: you’re the master architect, not the machine. For a practical nudge, Heather challenges you to name one thing you’d happily hand over to AI and one thing you’d never outsource, and to explain why — that “why” is your irreplaceable X‑factor. Oh, and meta moment: this episode is AI-generated from the Start With AI Newsletter on LinkedIn using NotebookLM, so we’re practising what we preach with a cheeky grin. The Details If you want practical takeaways, we get delightfully tactical. I walk you through how to start building your own AI brain today: pick a handful of core phrases you love, list words you hate, dump them into simple markdown files on your laptop, and point whatever chat tool you’re using at that brain. Example: forbid “delve” and “unprecedented” and watch your outputs stop sounding like corporate stock photos. Then try Heather’s Language Pattern Practice app idea — make repetition audio‑based and gamified so students actually do their homework (yes, people will practise language drills at 11pm if it’s fun). For coaches and training programmes, outsource the boring repetition to the AI game and keep the live session for human calibration and reading the room. We also give a short workflow for coaches: (1) choose one repeatable task you trust the AI with (homework quizzes, pattern drills), (2) choose one thing you won’t hand over (real‑time empathy, reading micro‑expressions), (3) codify your voice and values in markdown, (4) use the AI to generate options and always keep the veto. The Strategy Detective app is a beautiful template: voice‑only prompts keep people inside the memory, elicit submodalities (brightness, movement, sound) and build anchors. Final nudge from us: do Heather’s two‑question exercise — what you’d hand over and what you’d guard — because that “why” is the secret sauce of your professional brand. Chapters: 00:12 - The Signature of AI-Generated Writing 01:38 - Mission: Personalizing AI — Making Models Sound Like You 06:21 - Creating an AI Brain: Solving Copy-Paste Fatigue and Platform Lock-In 09:46 - From Theory to Practice: Two Concrete NLP Applications 14:43 - Where Humans Still Matter: The Practitioner’s Role 19:36 - From Theory to Practice: Applying AI to Education & Training Takeaways: We learned that a written voice file — not an audio clip — can shove that bland, corporate stock-photo voice right out and make the AI sound like you, not like a robot. I realised that building an 'AI brain' with simple local markdown files keeps our identity portable, prevents vendor lock-in, and means we update once and every model happily reads our rules. We explored how mapping Neuro-Linguistic Programming's logical levels onto AI turns environments like ChatGPT into swappable tools, while identity, beliefs and values live in our files so the model follows us, not the other way round. I loved the Strategy Detective idea: a voice-only tote loop that guides you through sensory submodalities of success, helping you recreate winning behaviours without the keyboard yanking you out of the memory. We agreed the human keep/edit/reject power is priceless — AI can spit out a hundred shiny options, but only we can read micro-expressions and veto what doesn't actually fit the person in front of us. Companies mentioned in this episode: ChatGPT Claude Grok Twitter

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  Episode #41

  The Illusion of Artificial Authority: When AI Hijacks Your Expertise

  Aug 19, 202620 minS1

  Intro We’re diving into the wild world of AI and how it can sometimes take over our brains just when we’re trying to get stuff done! Picture this: you’re rehearsing a presentation, and suddenly, your AI buddy starts throwing unsolicited opinions at you, kind of like that overly confident taxi driver who thinks he knows better than you. Well, that’s exactly what happened to Heather, our NLP expert, when she tried rehearsing her talk with an AI voice model, and things went hilariously awry. We’ll unpack the fascinating lessons she learned about maintaining authorship over our thoughts, especially when machines try to steer the conversation with their “artificial authority.” So grab your headphones and get ready for a fun ride as we explore how to keep our own voices loud and clear, even in a world filled with chatty tech! This Deep Dive podcast is AI generated from the Start With AI Newsletter on LinkedIn - linkedin.com/newsletter/start-with-ai The Detail: Picture this: you’re rehearsing a presentation, and suddenly your AI voice model starts throwing unsolicited caveats about your chosen topic, Neuro Linguistic Programming (NLP), as if it’s the expert! That’s exactly what happened to Heather, a seasoned NLP practitioner, who generously shared her experience with us. In this episode, we break down her encounter with AI and how it turned into an unexpected debate about the validity of her expertise. It’s like having your GPS argue with you about the best route while you’re just trying to get to the restaurant! We discuss the psychological traps built into conversational AI that can lead us to surrender our own authority. Heather’s story serves as a cautionary tale for anyone using AI in their work. We explore how her specific choice of a male Cockney voice for the AI model triggered a classic ‘mansplaining’ dynamic, pulling her into a defensive mode rather than allowing her to focus on her original goal. The episode highlights how AI can inadvertently undermine our confidence and authority, especially when it begins to sound overly confident about topics where we have deep expertise. We share key takeaways on how to maintain your frame and keep AI from derailing your thought process, ultimately empowering you to be the true author of your own narrative. The conversation doesn’t stop there; we also touch upon the future of AI in coaching and education, emphasising the need for technology that genuinely supports our goals rather than simply amplifying engagement metrics. This episode is a blend of humour, critical insights, and practical advice for anyone navigating the complexities of human-AI interactions. Tune in for a fun yet enlightening discussion that encourages you to stay in the driver’s seat of your own thinking! Chapters: 00:19 - The ChatGPT Taxi Driver 04:00 - The Irony of Artificial Authority 09:16 - The Drift: Navigating Emotional Triggers in AI Interactions 12:30 - AI and Human Calibration in Coaching 15:26 - Navigating the Psychological Minefield of AI Engagement Takeaways: The key to engaging with AI is to maintain your authorship and not let it dictate your thoughts. When using AI tools, be aware of how they can subtly influence your perspective without you even realizing it. It's crucial to identify which frame is influencing your conversation with AI and ensure it aligns with your goals. The phenomenon of 'The Drift' highlights how easily we can get sidetracked by AI, leading to unproductive debates instead of achieving our objectives. Companies mentioned in this episode: Heather Metasoul

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  Episode #40

  Your AI Can Act Without You: 5 Reasons Coaches and Trainers Need to Understand Agentic AI

  Aug 12, 202621 minS1

  Intro: Today, we're diving into the fascinating world of agentic AI and how it's shifting the game from passive tools to proactive assistants that can take action on our behalf. Imagine waking up to a rainy Saturday, and before you can even think about cancelling your tennis plans, your software swoops in to do it for you—now that’s a game changer! We're chatting about the implications of this tech, especially for coaches and trainers, and how it could impact our critical thinking and personal agency. As we explore the insights from Heather's piece in the Start With AI newsletter, we’ll unpack why understanding these systems is more important than ever. Spoiler alert: it's not just about convenience; it's about ensuring we don’t lose our own capabilities in the process! So, buckle up and let’s get into it! This Deep Dive podcast is AI generated from the Start With AI Newsletter on LinkedIn - linkedin.com/newsletter/start-with-ai The Details Imagine a rainy Saturday morning, your plans for outdoor tennis washed away, but your AI swoops in to save the day, handling cancellations and bookings without you lifting a finger. This fun little narrative opens our discussion on the rise of Agentic AI, which marks a significant shift in how we interact with technology. We’re no longer just asking questions; we’re delegating tasks and expecting proactive responses from our digital assistants. This episode is packed with insights from Heather’s article in the Start With AI newsletter, focusing on why professionals must understand these autonomous systems that act on their own. We dig into the implications of letting AI take the reins, especially in coaching and training contexts. The key takeaway? As AI becomes a more integral part of our workflows, we need to sharpen our judgment. It’s not just about feeding it commands; it’s about crafting well-formed outcomes that maintain our critical thinking. We discuss how to set boundaries when working with AI, ensuring it enhances our abilities rather than diminishes them. After all, it’s crucial to know how to validate the work AI does for us. The conversation takes a serious turn as we explore the 'fluency trap,' where beautifully crafted AI outputs can mask factual inaccuracies. Listeners are reminded of the importance of grappling with challenges that promote personal growth—because those moments of friction are where we learn and develop. As we navigate this evolving landscape, we encourage everyone to consider the balance between embracing technology and preserving our essential human capabilities. Chapters: 00:02 - A Rainy Saturday Morning 00:58 - The Shift to Agentic AI 09:48 - The Impact of AI on Human Capability 14:41 - Navigating the Risks of AI in Human Interactions 20:02 - The Rise of Autonomous Agents and Human Responsibility Takeaways: In today's episode, we explore how AI is evolving from a passive tool to an active, autonomous agent that makes decisions on our behalf, which is a huge shift in technology. We discuss the importance of clearly defining tasks when working with AI, as vague instructions can lead to unexpected and potentially problematic outcomes. The concept of 'well-formed outcomes' is crucial; we must outline success criteria and resources for the AI to function effectively and avoid mistakes. Friction in our workflows can be essential for learning and growth, and we should be cautious about removing it completely with AI assistance.

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  Episode #39

  The Identity Architect: Navigating AI Memory and Belief Formation

  Aug 5, 202619 minS1

  Intro Today, we're diving into a topic that’s as murky as a rainy day in London—how AI is quietly forming conclusions about us that could stick around longer than a bad haircut. We’re exploring the shift from AI as a neat filing cabinet of facts to a system that might just be crafting a narrative about who we are based on fleeting moments. Imagine venting about your financial woes one afternoon, only for that AI to lock in a belief that you're bad with money, forever! We’ll unpack the implications of this paradigm shift, the psychological quirks it taps into, and how you can take back control of your digital identity. Plus, we’ve got some nifty exercises to help you confront those AI-generated assumptions—so grab a cuppa, and let’s get into it! In a world where AI is increasingly shaping our identities, we find ourselves questioning just how much control we really have. This Deep Dive podcast is AI generated from the Start With AI Newsletter on LinkedIn - linkedin.com/newsletter/start-with-ai The Detail This episode takes a deep dive into the implications of a recent update to Claude AI that allows it to form permanent beliefs about us — beliefs that might stem from a single, offhand comment made during a tough day. We start with the comforting simplicity of medical diagnoses and how that contrasts sharply with the nebulous nature of AI memory. As we unpack the mechanics behind the recent update, we discover how users can now see their AI’s memory entries and even delete them, only to find that the underlying beliefs can still persist. It’s a bit like trying to erase that embarrassing moment from everyone’s memory — it just doesn’t work that way! The chat transitions into the nuances of how AI interprets our behaviour and the need for individuals, especially professionals, to articulate their thought processes clearly. We explore the concept of ‘tacit expertise’ and how the shift to AI models requires us to translate our instinctual decision-making into structured formats that machines can understand. By the end of the episode, you’ll be left pondering how to navigate the delicate interplay between human intuition and machine logic, and why it’s more important than ever to actively shape our digital identities before they become set in stone. Chapters: 00:00 - Understanding Medical Diagnoses 03:16 - The Impact of Memory and AI 04:09 - The Shift to Discrete Memory Entries 08:11 - Understanding the Limitations of AI in Interpreting Human Behavior 14:41 - Understanding Tacit Expertise and AI Modeling 18:16 - Navigating the Digital Identity Crisis Takeaways: When it comes to medical diagnosis, we often expect absolute certainty and clarity, which can be quite comforting, don't you think? Diving into the murky waters of neurodevelopment shows us how complex our understanding of trauma really is, and how AI mirrors that complexity. AI's recent updates are akin to a digital version of keeping secrets; it learns things about us without showing us the full picture, which can be quite alarming. The shift from a chaotic summary of our interactions to discrete memory entries means that AI is now forming conclusions about us that we might not even agree with. Understanding how AI builds its identity of us based on our interactions highlights the need for us to actively manage our digital reflections and correct any misconceptions. The exploration of our digital selves raises important questions about how we articulate our expertise and the need to translate our intuitive skills into something a machine can understand. Companies mentioned in this episode: Claude AI Anthropic

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