Start With AI

Heather V Masters
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  • Entrepreneurship

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.

  1. 2d ago

    Delegation vs. Specification: The AI Tug-of-War

    IntroLet's dive into the nitty-gritty of AI delegation! Today, we're exploring the wild world where technology has advanced so rapidly that it's now easier than ever to hand tasks over to AI. But here's the twist: while the tech is ready to roll, many of us are still stuck in the mud of vague instructions. We're chatting about how our human tendency to be a bit fuzzy with our specifications is the real bottleneck in getting the most out of these shiny new AI tools. Just think about it—if you tell your AI assistant to "clean up my files," what do you think it's gonna do? Spoiler alert: it might just go rogue! We'll break down how better communication can lead to improved outcomes, and trust me, you won’t want to miss the juicy insights from Heather’s fascinating newsletter that’s packed with actionable tips for everyone trying to level up their AI game. So, grab your headphones and let’s get this party started! DetailsPicture this: You’ve got the ultimate assistant at your fingertips, one so sharp they could slice through a mountain of paperwork like a hot knife through butter. Sounds amazing, right? But here’s the kicker—this assistant doesn’t have an ounce of common sense. That’s the crux of our latest discussion, where we dive into the paradox of AI: it’s smart, it’s capable, but when it comes to understanding the nuances of human communication, it can sometimes feel like you’re talking to a brick wall. We explore this through a riveting newsletter by Heather from Start with AI, who lays bare the reality that while AI tools have become more accessible and powerful, the real roadblock lies not in the technology itself but in how we humans specify our needs. The episode is packed with anecdotes and insights, illustrating how the gap between having an AI tool and actually using it effectively is filled with our own shortcomings in communication. We talk about the importance of clarity in delegation and how the failure to articulate our expectations leads to frustration when we expect AI to magically understand our unspoken rules. But hold on, it gets even better! We break down some shocking stats about how people are actually using AI products. For instance, take Anthropic’s Cowork AI: out of more than a million interactions, only a tiny fraction were used for actual coding! The rest? People were using it for everything from writing reports to managing mundane tasks. It’s like buying a Ferrari and only using it for grocery runs! This episode is a rollercoaster of revelations about the misconceptions surrounding AI's capabilities and our expectations. We wrap up with actionable insights to help you bridge that gap, making sure your AI assistant becomes the genius you always dreamed it could be, rather than just a glorified paperweight. Takeaways: In the world of AI, delegation is becoming easier, but specifying tasks is tougher than ever.AI agents can’t read between the lines, so clear instructions are essential for success.The gap between technology and human capability is closing, yet we remain the bottleneck.To effectively work with AI, you must articulate your processes and expectations clearly. Links referenced in this episode: linkedin.comstartwithai.comanthropic.comopenai.comchatgpt.com Companies mentioned in this episode: AnthropicOpenAIStart with AIMcKinseyChatGPTCoworkClaude

    Delegation vs. Specification: The AI Tug-of-War

  2. Jul 22

    Five AI mistakes NLPers make, and the one that actually matters

    IntroToday, we’re diving deep into the paradox of communication in the age of AI, where even the most seasoned experts find their unique voices slipping away. Our conversation kicks off with a fascinating analysis by Heather from the Start With AI newsletter, who reflects on her journey of mastering technology and neuro-linguistic programming, only to discover that her distinct voice had vanished after a year of AI-assisted writing. We’ll explore how this phenomenon isn’t just a tech issue but a psychological one, revealing the traps that even the best communicators fall into when relying too heavily on AI. Along the way, we'll share some light-hearted insights and quirky analogies, like comparing AI to a toddler throwing toys, and we’ll even discuss how stepping away from the screen and picking up a pen can help reclaim your voice. So, grab your headphones and let’s unpack this wild ride together! This Deep Dive podcast is AI generated from the Start With AI Newsletter on LinkedIn - linkedin.com/newsletter/start-with-ai The Details:For those of us who have spent years honing our communication skills, it can be a shocking revelation to find our unique voices slipping away, especially in the era of AI. This episode dives deep into the perplexing phenomenon known as 'AI drift', where even the most seasoned experts in communication find themselves sounding increasingly like a sterile algorithm. Our discussion pivots around an enlightening article from Heather, who, despite her impressive background in technology and neuro-linguistic programming, discovered that her writing had lost its distinctiveness just a year after launching her newsletter. She meticulously crafted her style, inputting specific phrases and preferences into the AI, yet the result felt disjointed, as if a machine had learned her style from a distance. The irony here is rich: in her quest to harness AI for productivity, she inadvertently diluted her voice instead. As we unpack this paradox, we explore the psychological traps that lead to this drift. Practitioners often assume that AI is a straightforward tool, akin to writing code where corrections are permanent. However, the dynamic nature of language models means that over time, they can reinforce unwanted phrases, leading to a phenomenon we call 'AI slop blindness'. Just like ignoring the laundry piling up in the corner, we can become desensitised to the quality of our output, allowing mediocre phrases to infiltrate our work without a second thought. By the end of the episode, we arrive at a powerful takeaway: reclaiming our voice requires a conscious effort to step outside the digital echo chamber, sometimes even grabbing a pen and paper to reconnect with our authentic selves. In this lively exchange, we also delve into the broader implications of AI on human communication. With tools becoming increasingly agreeable, there’s a risk that we may begin to conform our voices to fit a digital mould, leading to a homogenised culture where individuality is sacrificed for the sake of productivity. Our conversation challenges listeners to reflect on their interactions with AI: are we shaping the tool, or is it shaping us? As we navigate this complex landscape, we encourage everyone to prioritise their unique perspectives, reminding ourselves that the essence of communication lies in our individuality, not just in algorithmic efficiency. Chapters:00:00 - The Art of Mastering Human Psychology02:10 - Understanding AI Drift: The Hidden Challenges of Maintaining Authentic Voice05:57 - The Impact of AI on Communication Skills13:44 - Understanding AI Drift and Its Implications16:06 - The Identity Crisis in AI Interaction Takeaways:Mastering human psychology over decades might not prepare you for AI's impact on our communication.Even seasoned communicators can lose their unique voices when relying heavily on AI tools.Using AI without checking your own work can lead to a loss of personal style and identity.To regain your authentic voice, stepping away from digital tools can be surprisingly effective. Links referenced in this episode: start with AI Companies mentioned in this episode: Heatherstart with AI

    Five AI mistakes NLPers make, and the one that actually matters

  3. Jul 15

    I Trained My AI. Then the AI Changed.

    The AI you’re using today is a totally different beast from the one you used yesterday – and that’s the main takeaway we’re diving into! In this episode, we unpack the hidden mechanics behind those sneaky AI updates that can turn your reliable workflows into a confusing mess overnight. We chat about Heather's enlightening experience, where she realised the AI she’d trained to perfection overnight decided to throw a tantrum and ignore her carefully crafted instructions. It’s a wild ride through the psychological toll of these silent updates, and we’ll explore how to keep your workflow on track amidst the chaos. So, grab a cuppa and settle in as we figure out how to build a resilient practice that won’t crumble with every sneaky tweak the AI developers throw our way! This Deep Dive podcast is AI generated from the Start With AI Newsletter on LinkedIn - linkedin.com/newsletter/start-with-ai The Details: Navigating the world of AI can sometimes feel like trying to dance with a partner who keeps changing the steps! In our latest episode, we delve into the complexities of AI updates and the resulting chaos they can wreak on our well-oiled machines. Inspired by Heather's experience detailed in the Start with AI newsletter, we explore the emotional and psychological impact of these abrupt changes. One minute, you’re in rhythm with your AI, and the next, it’s like the music has stopped. We’ll share practical strategies for maintaining your sanity and workflow stability, including how to document your processes meticulously and conduct isolated tests when things go awry. Plus, we discuss the importance of distinguishing between capability and dependability in AI tools. After all, you want a trusty sidekick, not a wild card! Chapters: 00:07 - The Evolution of AI: What You Need to Know00:41 - The Disorienting Changes in AI Workflows04:34 - Understanding AI Feedback Loops and User Experience09:26 - The Convergence of AI Platforms14:01 - Mastering Calibration: A Practical Approach17:51 - Understanding the Shift in AI Workflows Takeaways: Today's AI is constantly evolving, meaning your reliable tools could change overnight without notice.The silent updates to AI can disrupt workflows, leaving users feeling confused and frustrated.When AI tools stop working, it's essential to step back and reassess the entire system, not just your inputs.Building resilience in your AI workflows involves version control and testing components in isolation.Understanding the distinction between an AI's capabilities and your workflow's reliability is crucial for effective use.Documenting your processes helps maintain clarity and control over your work, even as tools evolve unexpectedly. Links referenced in this episode: linkedin.com/newsletter/start-with-ai Companies mentioned in this episode: Start with AIClaudeAnthropicOpenAIMicrosoft Copilot

    I Trained My AI. Then the AI Changed.

  4. Jul 9

    Why AI Makes Smart People Feel Stupid

    Feeling a bit lost when it comes to AI? You’re definitely not alone! In this episode, we dive into the common struggle of navigating new tech, especially AI, and how it can leave us feeling a bit like a deer in headlights. We explore a brilliant piece by Heather, a seasoned tech veteran, who breaks down why learning AI often feels overwhelming and how we can shift our perspective to embrace that learning curve as part of the journey. Instead of treating it as a hurdle, we’ll chat about how this curve is actually the work we should be doing. So, if you’ve ever felt like you missed the memo in the tech world, stick around as we help you bridge the gap from pushing buttons to genuinely understanding the tools in your hands! This Deep Dive podcast is AI generated from the Start With AI Newsletter on LinkedIn - linkedin.com/newsletter/start-with-ai Detail Unpacking the complex feelings of inadequacy that often accompany learning new technologies, this episode takes listeners on a journey through the challenges of engaging with AI. The speakers kick things off by sharing their own relatable experiences of staring helplessly at screens, feeling as if everyone else has already mastered the technology while they are left floundering. This common sensation of being overwhelmed is particularly pronounced with AI, which frequently feels like a foreign beast. They introduce Heather's perspective, a seasoned expert in the tech world, who believes that the key to conquering these feelings lies in reframing our approach to learning AI. Instead of viewing the learning curve as a barrier, Heather suggests that it is, in fact, integral to the work we must do. The conversation delves into how traditional technology has conditioned us to think of ourselves as flawed when we encounter difficulties, contrasting this with the fluid and unpredictable nature of AI. The hosts discuss the importance of ‘weaponizing ignorance,’ a concept introduced by Heather, which encourages learners to retain a beginner's mindset. This approach not only helps in mastering AI tools but also fosters a culture of documentation and reflection on one's learning process, preventing the isolation that often comes with tech challenges. As they wrap up, the speakers present the TOTE (Test, Operate, Test, Exit) loop as a practical method for engaging with AI. This feedback loop emphasizes experimentation and adaptation over rote memorization, which is increasingly ineffective in a world where AI is constantly evolving. They challenge listeners to embrace the learning process and view mistakes not as failures but as essential steps in their growth. The episode concludes with a powerful reminder that learning to direct AI is akin to conducting a jazz band, where flexibility and responsiveness are key, marking a significant shift in how we approach technology in our lives. Chapters: 00:01 - Navigating Technology Challenges03:59 - Understanding Unconscious Competence in Learning AI06:54 - Transitioning from Traditional to AI Systems09:28 - Navigating the Transition from Traditional Tools to AI13:20 - Understanding the TOTE Loop in AI19:13 - The Impact of AI on Human Resilience Takeaways: Feeling stuck while learning AI is super common, so don’t sweat it too much!Traditional tech tends to make us feel incompetent, while AI requires a mindset shift.Navigating AI tools is like conducting a jazz band, it’s all about collaboration!The learning curve in AI isn't just a hurdle, it’s part of the job itself!When engaging with AI, expect some trial and error, it’s all part of the process!Understanding the mechanics of AI tools prevents you from falling into blind usage traps! Companies mentioned in this episode: Start with AIdescriptClaude

    Why AI Makes Smart People Feel Stupid

  5. Jul 1

    One Year in AI Taught Me Where the Real Threat Sits

    Feeling like the daily buzz around AI is a bit too much to handle? You're definitely not alone! Today, we’re diving deep into a fascinating reflection from Heather, a techie and NLP (Neuro Linguistic Programming) Master Practitioner, who's spent a whole year immersed in the AI world. She’s got some heavy insights, like the idea that the real hidden threat of AI isn’t losing your job but rather losing your ability to think critically. We’ll explore her six hard-earned lessons, which debunk the myth that AI is a magic button for instant solutions, and instead, highlight the importance of bringing your own structure and strategy to the table. So grab a cuppa and join us as we unpack how to navigate this AI landscape without losing touch with our human brains! This Deep Dive podcast is AI generated from the Start With AI Newsletter on LinkedIn - linkedin.com/newsletter/start-with-ai Chapters: 00:00 - Navigating the AI Revolution03:24 - The IKEA Flatpak Effect: Understanding AI Tools07:54 - The Pressure of Rapid Change12:18 - The Cognitive Cost of AI Overreliance14:04 - The Future of AI and Human Expertise Takeaways: If you're feeling swamped by the AI hype, don't worry - you're not alone in this wild ride!AI isn't the magic button we all wish for; it needs your solid input to actually work its magic, so get ready to strategise!Heather's year in AI taught her that relying on AI could weaken our cognitive skills, just like GPS can mess up our sense of direction.To truly leverage AI, you need to document your expertise and set clear standards, or else you'll just get back AI slop!The hidden danger of AI is that it might just erode our ability to think critically, so let's keep flexing those mental muscles!AI is not a quick fix; it’s a reflection of your input, so make sure you're feeding it something worthwhile! Companies mentioned in this episode: KajabiMicrosoft CopilotClaude

    One Year in AI Taught Me Where the Real Threat Sits

  6. Jun 24

    The average business owner thinks AI is about efficiency. They’re wrong.

    We're diving into a pretty massive disconnect in the corporate world regarding AI—specifically, how businesses are missing the mark on its real purpose. Forget just chasing efficiency; it's time to rethink how we design our workflows from the ground up. We’ll explore some eye-opening insights from a June 2026 LinkedIn newsletter that highlights how treating AI like a magical speed dial is a big no-no. Instead, we’ll unpack the importance of redesigning processes and understanding that true AI integration requires a significant shift in perspective and approach. So, grab a cuppa, kick back, and let’s get into why it’s not just about doing things faster, but about doing them smarter! This Deep Dive podcast is AI generated from the Start With AI Newsletter on LinkedIn - linkedin.com/newsletter/start-with-ai The Details Let me tell you, this episode is a real eye-opener about the misconceptions surrounding AI in the corporate sphere! We dig into a thought-provoking piece from a LinkedIn newsletter that challenges the status quo—businesses are way too focused on using AI for efficiency rather than transformation. Through a quirky factory analogy, we illustrate how cranking up the speed on a broken process only makes things messier. The conversation flows as we break down the difference between using AI to just speed up tasks versus redesigning workflows for better outcomes. We unpack the tote framework, which stands for Test Operate Test Exit, as a method for integrating AI effectively. This means not just plugging in AI and hoping for the best but actively reviewing and refining its outputs to ensure they meet quality standards. It’s all about creating a collaborative loop where AI executes tasks, but humans validate and adjust to ensure success. This episode is packed with insights on how to rethink our workflows and embrace the true potential of AI, moving beyond mere efficiency to real transformation! Chapters: 00:01 - Addressing Corporate Disconnects00:10 - Understanding AI's True Role in Business Transformation07:31 - The Amplified Mess: Understanding the Risks of AI Integration09:16 - Understanding the TOTE Framework in AI Deployment14:45 - Understanding Data Drift in AI Systems19:50 - Shifting Roles in the Age of AI Takeaways: In 2026, businesses must shift their focus from AI as a tool for efficiency to embracing it as a catalyst for redesigning workflows and decision-making.The misconception that AI simply speeds up current processes can lead to amplified dysfunction, making existing messes even messier without proper integration.Using the TOTE framework—Test, Operate, Test, Exit—is essential for successful AI implementation, emphasizing the need for continuous human oversight and feedback.The future of work requires humans to transition from executing repetitive tasks to providing critical judgment and defining what success looks like in AI outputs.Organisations must recognise that true automation comes after extensive manual refinement, not before, challenging the notion of AI as a quick fix.Data drift is a significant concern; if not managed, it can degrade AI output quality over time, necessitating regular evaluations and updates to the system. Companies mentioned in this episode: LinkedInMicrosoft

    The average business owner thinks AI is about efficiency. They’re wrong.

  7. Jun 17

    The Ghost Note: Finding Gold in the AI Gap

    Ever wondered why your shiny new AI tools aren't getting the love they deserve? Well, we’re diving headfirst into that conundrum today! We chat about how companies are shelling out big bucks for top-notch AI, only to find their employees avoiding it like the plague. It’s not the tech that's broken — it's the way companies are rolling it out, and the psychological factors at play are a big part of the problem. Drawing from Heather Masters’ fascinating insights, we explore how the AI learns from our corporate culture and communication patterns, often mirroring our worst habits. So, if you're curious about why your AI might be acting more like your passive-aggressive coworker than a helpful assistant, stick around! This Deep Dive podcast is AI generated from the Start With AI Newsletter on LinkedIn - linkedin.com/newsletter/start-with-ai Chapters: 00:00 - Investing in Advanced AI Technology04:51 - The Psychological Safety of AI Adoption09:43 - The Impact of Corporate Language on AI Communication14:06 - The Ghost Note of Corporate AI19:14 - Understanding the Role of AI in Organizational Culture Takeaways: Organisations often invest millions in AI tools, but user adoption remains a huge challenge.The AI technology itself isn't broken; it's the corporate rollout that fails spectacularly.AI tools absorb the corporate culture, reflecting the good, the bad, and the ugly communication habits.Psychological safety is crucial for effective AI integration, as employees avoid risk-averse communication styles. Links referenced in this episode: kajabi.com Companies mentioned in this episode: MicrosoftGoogleKajabi

    The Ghost Note: Finding Gold in the AI Gap

  8. Jun 10

    Beyond the Illusion: Structuring Chaos in the Age of AI

    Let’s dive into the world of AI and unpack some serious truths! This episode is all about the misconception that AI can magically solve chaos and improve workflows without any groundwork. We kick things off with a hilarious analogy to assembling flat-pack furniture—just like tossing aside the instructions can lead to a wobbly bookshelf, applying the same casual approach to enterprise AI can result in catastrophic outcomes. We explore Heather's insightful piece, "AI Does Not Make Chaos Disappear," and discuss how AI actually amplifies existing messiness instead of cleaning it up. By the end, we’ll share how to build a solid structure before unleashing the power of AI, ensuring it enhances our capabilities rather than just creating faster chaos. So grab your favourite cuppa, and let’s get cracking on this enlightening journey together! This Deep Dive podcast is AI generated from the Start With AI Newsletter on LinkedIn - linkedin.com/newsletter/start-with-ai Chapters: 00:03 - The Challenge of Flat Pack Furniture03:19 - Understanding AI's Impact on Business05:57 - The Dangers of Unconscious AI Implementation09:08 - Understanding the Ghost Note Concept in AI15:29 - The Structural Integrity of AI Integration Takeaways: Flat pack furniture assembly is a light-hearted metaphor for the chaos of AI deployment, highlighting the dangers of skipping foundational understanding.AI doesn't simplify processes; it amplifies existing workflows, for better or worse, depending on the structure underneath.The 'ghost note' concept illustrates unseen patterns in AI usage, which can dictate output quality without users being aware.Organisations often mistake rapid AI output for efficiency, but without clarity and structure, this results in accelerated chaos.Heather's journey shows the importance of understanding AI's mechanics rather than just using it, avoiding the trap of false competence.To truly harness AI, businesses must focus on structural integrity and human capability, rather than just tool acquisition. Companies mentioned in this episode: ClaudeAnthropicKlarnaOpenAIChatGPTGemini AI Bootcamp - 2 Weeks to master using your AI with integrity and Creating YOUR VOICE template through Modelling the true you. Email 'Waitlist' to heather@heathervmasters.com to advance notification.

    Beyond the Illusion: Structuring Chaos in the Age of AI
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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.

Information

  • Creator
    Heather V Masters
  • Years Active
    2025 - 2026
  • Episodes
    39
  • Rating
    Clean
  • Copyright
    © Copyright 2026 Heather V Masters
  • Show Website
    Start With AI