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    Technology

    AI for Beginners (400 episodes)

    Unlock the power of artificial intelligence with AI for Beginners! This podcast takes you step-by-step from zero to AI pro in 100 bite-sized episodes. Learn AI basics, master tools like chatbots, and discover how to automate tasks and boost creativity—no tech experience needed. Perfect for anyone curious about AI, automation, or starting a side hustle with artificial intelligence. Each 10-minute episode is packed with practical tips for beginners. Subscribe now and start your AI journey today!


    Hosted on Acast. See acast.com/privacy for more information.

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    Latest Episodes:
    Episode 396 - Learning to Sleep Better When Stress Keeps You Awake (2026) Oct 20, 2026
    Show notes

    Episode 396 - Learning to Sleep Better When Stress Keeps You Awake (2026)

    Ten thirty at night, eyes heavy, sliding into bed with every intention of sleeping, and then, as if a switch flipped, the mind wakes up entirely: tomorrow's meeting, an odd comment from lunch, a forgotten bill, followed by the familiar poor-sleeper's arithmetic of exactly how many hours remain if sleep started right now. In this episode, Robin tackles that frustrating, universal experience directly, showing how artificial intelligence can help build a genuinely personalised approach to sleep when stress, not a medical condition, is the primary culprit.

    The episode covers five structured areas: understanding your own specific sleep patterns and disruptors rather than applying generic sleep advice, setting up the foundational, unglamorous habits that nearly every good sleeper unknowingly relies on, directly addressing the racing mind, which Robin notes is what most people actually mean when they say stress keeps them awake, learning the core principles of cognitive behavioural therapy for insomnia, often abbreviated CBT-I, a genuinely evidence-based approach explained here in accessible, non-clinical language, and handling bad nights themselves along with the anxiety about future bad nights that often becomes its own separate sleep-disrupting problem. Robin explains how to use AI to build a personalised wind-down routine based on your specific evening patterns and stressors, how to use structured "worry time" techniques earlier in the evening so racing thoughts are less likely to arrive at bedtime, and how to reframe catastrophic thinking about sleep loss itself, which research consistently shows worsens the original problem.

    The episode is clear that persistent, severe insomnia, or sleep issues involving breathing, pain, or other physical symptoms, should be discussed with a doctor rather than managed through self-help techniques alone, and that AI cannot diagnose a sleep disorder or replace proper medical evaluation when one may genuinely be needed.

    This calming, genuinely useful episode suits chronic stress-related poor sleepers, anyone who dreads bedtime because of a racing mind, and listeners who have tried generic sleep advice without real success. It speaks to search terms including insomnia relief for stress, CBT-I techniques explained simply, building a wind-down routine, quieting a racing mind at night, and using AI-guided routines for better sleep in 2026.

    The episode includes a specific technique example: a fifteen-minute structured worry-time session held earlier in the evening, using AI prompts to fully address the day's lingering thoughts before bed, specifically so those same thoughts are less likely to resurface once the lights go out. Robin also explains, in accessible terms, the core CBT-I principle of only going to bed when genuinely sleepy rather than simply tired, and why this single change often produces a noticeable improvement within a couple of weeks. The episode closes with a calm plan for handling an inevitable bad night without spiralling into next-day dread, in 2026.

    Hosted on Acast. See acast.com/privacy for more information.


    Episode 395 - Getting Out of Debt and Staying Out (2026) Oct 19, 2026
    Show notes

    Episode 395 - Getting Out of Debt and Staying Out (2026)

    A drawer at home, or a folder in an inbox, quietly avoided, containing letters with red edges, unopened statements, and muted app notifications, each phone buzz met with a small tightening in the stomach, describes a reality far more common than most people admit openly. Robin opens this episode by saying something plainly and firmly: being in debt does not make you stupid or a failure, it makes you one of a great many people, and there is a genuine way through, with artificial intelligence offered here as general education, not personal financial advice.

    The episode walks through facing debt honestly as the essential first step, using AI to organise every debt into a single, clear, non-judgmental overview rather than the scattered, avoided mess most people are actually living with, and building a realistic repayment plan based on actual numbers rather than guilt-driven, unsustainable extremes. Robin explains different repayment strategy approaches in plain language, how to use AI to understand which might suit a specific situation, and how to prepare for potentially difficult conversations with creditors, always emphasising that a free, independent debt advice service is the right place for anything genuinely complex or serious, not an AI assistant. The episode also covers building habits that prevent debt from recurring once cleared, since Robin frames "staying out" as equally important as "getting out."

    Given the sensitivity and real financial stakes of this topic, the episode repeatedly and clearly states that this is general education rather than personalised financial advice, that AI cannot see your actual accounts or specific legal situation, and strongly encourages listeners in serious difficulty to contact a free, independent, reputable debt advice service rather than relying on any digital tool alone. The tone throughout is deliberately shame-free and practical, treating debt as a solvable, common situation rather than a moral failing.

    This compassionate, practical episode speaks to anyone avoiding their own financial reality out of shame, people ready to finally face and organise their debt, and listeners wanting to build lasting financial habits after repayment. It addresses search terms including debt repayment strategies, getting out of debt for beginners, judgment-free money management, using AI as a financial organising tool, and staying debt-free long term in 2026.

    Robin walks through a specific first-session example within the episode: listing every debt, balance, and interest rate onto a single AI-organised page for the very first time, often the hardest and most emotionally significant step in the entire process, followed by a calm explanation of two common repayment strategies in plain language. The episode also discusses preparing for a first conversation with a free, independent debt advice service, including what documents to bring and what questions to expect, reducing the anxiety of that initial contact. Robin closes by reminding listeners that reaching out for free professional debt advice is a sign of strength, not failure, in 2026.

    Hosted on Acast. See acast.com/privacy for more information.


    Episode 394 - Finding Free Professional Development Without Paying for Courses (2026) Oct 18, 2026
    Show notes

    Episode 394 - Finding Free Professional Development Without Paying for Courses (2026)

    Scrolling through an internal jobs page and spotting a role that looks genuinely achievable, one real step up, only to see a requirements list mentioning skills you only half possess, followed by discovering the relevant course costs fifteen hundred euros and your manager confirms there is no training budget this year, is a specific and deeply frustrating experience. In this episode, Robin shows how artificial intelligence can make meaningful professional growth depend on curiosity and available time rather than a credit card.

    The episode walks through how to use AI to identify genuinely free, high-quality learning resources for specific in-demand skills, from data analysis to project management to particular software tools, cutting through the noise of low-quality free content to find resources with real substance. Robin explains how to use AI to build a structured, self-directed learning plan around free resources, since unstructured free learning often fails not from lack of content but from lack of a coherent path, and how to use AI to create practice exercises and self-assessment checks that approximate what a paid course would otherwise provide. The episode also covers how to translate self-directed learning into something credible on a CV or in a promotion conversation, since free learning is only useful professionally if it can be clearly demonstrated and articulated to others.

    Robin is candid that not every skill can be learned entirely for free to a professional standard, particularly certain certifications or highly specialised technical training, and offers honest guidance on recognising when a paid course or qualification genuinely is the right investment versus when free resources, used well, are entirely sufficient. The episode maintains a hopeful, empowering tone throughout without pretending every barrier disappears simply because free resources exist.

    This episode suits ambitious professionals without access to a training budget, career changers building new skills on a limited budget, and anyone who has felt locked out of growth opportunities by cost alone. It speaks to search terms including free professional development, self-directed learning plans, building skills without paying for courses, using AI to design a learning path, and career growth on a budget in 2026, closing with a specific first free resource to try this week.

    The episode includes a specific research example: identifying a genuinely well-regarded, free course covering a specific in-demand skill, then using an AI assistant to build a structured eight-week study plan around it, complete with practice exercises and a simple way to demonstrate the new skill afterward, whether through a small project or a clearly written CV addition. Robin also discusses free or low-cost professional certificates worth pursuing versus those with little real recognition, helping listeners spend limited time wisely. The episode closes with a single, specific action: choosing one free resource and completing its first module this week, in 2026.

    Hosted on Acast. See acast.com/privacy for more information.


    Episode 393 - Learning to Meditate When Your Mind Simply Will Not Stop (2026) Oct 17, 2026
    Show notes

    Episode 393 - Learning to Meditate When Your Mind Simply Will Not Stop (2026)

    Sitting down, closing your eyes, taking a slow breath, four lovely seconds of peace, and then a mental eruption of emails to answer, shopping lists to compose, and an embarrassing memory from 2014 replaying uninvited, only to open one eye and discover just forty seconds have passed, is an experience so common that this episode suspects the people who most need meditation are precisely the ones most convinced they are simply "bad" at it. Robin addresses that exact misconception directly, showing how artificial intelligence can help build a genuinely realistic meditation practice for busy, restless minds.

    The episode covers five practical steps: resetting unrealistic expectations about what meditation is actually supposed to feel like, since Robin argues a wandering mind is not failure but simply the practice itself, choosing a technique genuinely suited to a busy mind rather than assuming there is only one correct way to meditate, using AI to generate personalised guided meditation scripts tailored to your specific stressors and available time, building the habit itself, which Robin identifies as where most good meditation intentions actually fall apart, and finally taking meditation off the cushion entirely and into daily life, since the real goal is steadiness during an ordinary stressful day rather than skill at sitting still in isolation. Robin explains specific prompts for generating short, personalised guided meditations with AI, how to troubleshoot common frustrations like restlessness or falling asleep during practice, and how to build a habit that survives busy, imperfect weeks rather than requiring unrealistic daily perfection.

    The episode is honest about the limits of AI-generated meditation content, encouraging listeners with more serious anxiety, trauma, or mental health conditions to seek guidance from a qualified therapist or teacher trained specifically in those areas, and being clear that meditation, while genuinely helpful for many people, is not a treatment for clinical conditions on its own.

    This encouraging, practical episode suits self-identified "bad meditators," busy professionals with racing minds, complete beginners intimidated by traditional meditation instruction, and anyone who has tried once, given up, and quietly filed meditation under "not for me." It speaks to search terms including meditation for beginners, quieting a racing mind, building a meditation habit, AI-guided meditation scripts, and mindfulness for busy people in 2026.

    Robin shares a specific script example generated during the episode: a three-minute guided meditation built entirely around a listener's actual described stressor, a looming work deadline, rather than a generic relaxation script unrelated to real life, demonstrating how personalised AI-generated guidance can feel more relevant than a standard app recording. The episode also covers troubleshooting falling asleep during meditation, restlessness, and the common worry of doing it wrong, reframing each as normal rather than a sign of failure. Robin closes with a specific two-minute technique listeners can use during an ordinary stressful moment at work, taking meditation fully off the cushion, in 2026.

    Hosted on Acast. See acast.com/privacy for more information.


    Episode 392 - Surviving the First Year of Parenthood Without Losing Your Mind (2026) Oct 16, 2026
    Show notes

    Episode 392 - Surviving the First Year of Parenthood Without Losing Your Mind (2026)

    Seven minutes past three in the morning, the house dark except for a small, furious, ongoing cry, nappy checked, feeding done, rocking and walking and half-remembered humming all exhausted as options, captures a specific reality of new parenthood that this episode meets with warmth rather than false cheer. Robin is clear that no tool can turn a person into a perfect parent, because no such thing exists, but shows convincingly how artificial intelligence can meaningfully lighten the mental load during one of life's most joyful and most bewildering years.

    The episode covers five practical areas built specifically for exhausted new parents: taming the genuinely overwhelming flood of often-contradictory parenting information available online, tracking feeding, sleep, and developmental patterns without becoming obsessively anxious about every data point, running a household on drastically reduced sleep by simplifying decisions and lowering unnecessary standards temporarily, protecting both individual mental health and the parental relationship itself, a section Robin asks listeners to pay particularly close attention to, and planning realistically ahead without adding pressure to an already stretched capacity. Robin explains how to use AI for quick, judgment-free answers to the kind of question new parents feel too embarrassed or too exhausted to ask anyone at three in the morning, while being explicit that anything involving a baby's actual health, safety, or concerning symptoms must go to a doctor, midwife, or health visitor, never an AI assistant.

    The episode also addresses the strain new parenthood places on relationships and individual identity honestly, offering practical, low-effort ways to protect connection with a partner and moments of individual rest, even in minimal amounts, during a period when both often disappear entirely. Robin's tone throughout is realistic and kind, actively pushing back against the pressure toward "perfect" parenting that so much content in this space inadvertently reinforces.

    This deeply relatable episode speaks to new parents in the trenches of the first year, partners supporting each other through exhaustion, and anyone anticipating parenthood who wants a realistic rather than idealised picture. It addresses search terms including surviving the first year with a baby, new parent stress and exhaustion, baby care basics for beginners, protecting your relationship after having a baby, and using AI as a supportive parenting tool in 2026.

    The episode includes a specific nightly example: a new parent asking an AI assistant a quick, judgment-free question about a baby's unusual but likely harmless sleep pattern at three in the morning, receiving calm, plain-language context alongside a clear reminder to contact a health visitor or doctor if specific warning signs are present. Robin also discusses protecting even ten minutes of individual time daily during the hardest early months, and one small, low-effort way couples can maintain connection without needing energy for a full conversation, such as a short daily check-in message. A realistic, warm episode acknowledging both the joy and the genuine difficulty of new parenthood in 2026.

    Hosted on Acast. See acast.com/privacy for more information.


    Episode 391 - Getting Cheaper Insurance Without Losing Your Coverage (2026) Oct 15, 2026
    Show notes

    Episode 391 - Getting Cheaper Insurance Without Losing Your Coverage (2026)

    A friendly-sounding "your renewal is ready" email, followed by a price increase of twenty percent with no claims made and nothing changed, is one of modern life's quiet, recurring frustrations, and one that most people respond to with an exhausted sigh and a resigned click of "accept" rather than the shopping around they know, deep down, they should do. In this episode, Robin shows how artificial intelligence can make that comparison process genuinely manageable, helping listeners keep the coverage that actually matters while stripping out the parts they are needlessly overpaying for.

    The episode explains how to use AI to decode dense, jargon-heavy policy documents into plain language, understanding exactly what is and is not covered before comparing anything, and how to use AI to build a clear, side-by-side comparison of coverage types, excesses, and exclusions across different insurance options rather than comparing headline prices alone, which Robin identifies as the single biggest mistake people make when switching. Robin also covers how to draft effective renewal negotiation messages, since many insurers will quietly offer a better rate to a customer who simply asks, and how to use AI to prepare a clear list of questions before speaking to an insurance broker or provider directly, ensuring the conversation is efficient and genuinely informed.

    The episode is careful to note that AI cannot assess your specific personal risk profile, cannot replace a licensed insurance broker or adviser for complex coverage needs, and that final policy decisions, especially anything involving life, health, or significant liability coverage, should always be verified directly with the provider or an independent, regulated adviser. Robin's focus throughout stays on empowering listeners to ask better questions and understand what they are actually buying, rather than simply chasing the lowest headline price at the cost of real protection.

    This episode suits homeowners and renters facing rising insurance renewals, drivers shopping for better car insurance rates, anyone confused by dense policy documents, and listeners who suspect, correctly, that loyalty is costing them money. It speaks to search terms including lowering insurance costs, comparing insurance policies, understanding insurance documents, negotiating a better insurance rate, and using AI to compare coverage confidently in 2026, closing with a specific process to follow before the next renewal notice arrives.

    Robin walks through a specific comparison example within the episode: two seemingly similar car insurance policies that actually differed significantly in excess amount and windscreen cover once translated into plain language by an AI assistant, a difference easy to miss when comparing headline price alone. The episode also covers bundling policies sensibly without accidentally overpaying for unnecessary combined coverage, and understanding no-claims discounts and how switching providers can sometimes affect them. Robin closes with a specific renewal-week checklist: request the full policy document, run it through an AI-assisted plain-language comparison, and call to negotiate before accepting any automatic renewal, in 2026.

    Hosted on Acast. See acast.com/privacy for more information.


    Episode 390 - Learning Basic First Aid and Emergency Response at Home (2026) Oct 14, 2026
    Show notes

    Episode 390 - Learning Basic First Aid and Emergency Response at Home (2026)

    This episode opens with the single most important sentence in the entire show: in a real emergency, always call your local emergency number first and follow the instructions of the person who answers, never a chatbot. With that firmly established, Robin turns to something we all hope never to need and almost all wish we understood better: basic first aid and how artificial intelligence can help you prepare calmly, in advance, for a moment that may never come but that you will be profoundly grateful to be ready for if it does.

    The episode covers five structured areas of preparation: learning the simple underlying framework of thinking that supports almost all first aid response, practising with realistic scenarios so the knowledge is not merely theoretical, using AI to organise and prepare for genuine, accredited first aid training courses in your local area, preparing your actual home environment with a proper first aid kit and clearly understood emergency information, and keeping both skills and calm sharp over time, since knowledge learned once and never revisited fades exactly when it might be needed most. Robin explains how to use AI to walk through common emergency scenarios such as choking, a bad fall, an allergic reaction, or a suspected stroke, understanding the basic recognition signs and correct sequence of action in plain, memorable language, while being explicit that this preparation is never a substitute for the emergency number or professional emergency responders in an actual crisis.

    The episode is written with real care around this sensitive subject, repeatedly reinforcing that AI has no place directing an actual emergency in real time, and that its genuine value here lies entirely in calm, structured preparation beforehand. Robin also discusses building a family emergency plan, ensuring household members know basic steps and where emergency information is kept.

    This responsible, clearly bounded episode is valuable for parents, anyone living with elderly or vulnerable family members, and every listener who has ever frozen, even briefly, in a moment that called for quick action. It speaks to search terms including basic first aid for beginners, home emergency preparedness, what to do in a choking emergency, family emergency planning, and using AI responsibly to learn life-saving knowledge in 2026, with a clear, repeated reminder of its own limits throughout.

    The episode includes several specific scenario walkthroughs: recognising and responding to choking using the correct sequence of action, recognising the common warning signs of a stroke and understanding why speed of response matters enormously, and handling a bad fall calmly while waiting for professional help to arrive. Robin explains how to use AI to rehearse these scenarios verbally, building genuine familiarity with the correct sequence of steps so it becomes closer to muscle memory under real pressure. The episode closes by strongly encouraging listeners to book a proper, accredited in-person or certified first aid course, positioning this episode as valuable preparation and orientation for that training, not a replacement for it, in 2026.

    Hosted on Acast. See acast.com/privacy for more information.


    Episode 389 - Planning a Career Change When You Do Not Know Where to Start (2026) Oct 13, 2026
    Show notes

    Episode 389 - Planning a Career Change When You Do Not Know Where to Start (2026)

    Sunday evening, with the light fading and the weekend nearly over, has a particular way of surfacing a quiet, heavy feeling for people whose work, while not disastrous, simply is not what they are meant to be doing, paired with the genuinely uncomfortable fact of having no clear idea what the alternative even looks like. In this episode, Robin speaks directly to that specific, common feeling, and shows how artificial intelligence can help structure the genuinely difficult, often paralysing early stage of a career change, before any concrete plan exists.

    The episode walks through practical, non-generic ways to use AI for career exploration, including identifying genuinely transferable skills from your current role that you may be undervaluing or not recognising as marketable elsewhere, researching unfamiliar industries or roles in plain language before committing time to exploring them further, and drafting a realistic, staged transition plan rather than expecting a single dramatic leap. Robin explains how to use AI to prepare thoughtful questions for informational interviews with people already working in a role you are curious about, how to reframe and rewrite a CV to highlight relevant experience for a different field, and how to manage the financial and practical planning that any serious career change requires, without pretending the process is quick or risk-free.

    The episode is honest about the emotional dimension of feeling stuck in the wrong career, including guilt about wanting change when "nothing is technically wrong," and fear of the unknown that keeps many people scrolling job listings they have no real intention of applying to. Robin frames AI here as a low-stakes exploration partner, useful for research, structure, and rehearsal, while being clear it cannot make the decision for you or replace a qualified career counsellor for anyone facing a particularly complex transition.

    This episode suits anyone feeling quietly unfulfilled at work, people considering a significant career pivot without a clear plan yet, listeners overwhelmed by where to even begin researching alternatives, and anyone tired of scrolling job listings without ever applying. It speaks to search terms including planning a career change, finding transferable skills, career pivot for beginners, using AI as a career coach, and overcoming career uncertainty in 2026, closing with a specific, manageable first research task to try this week.

    Robin offers a specific research method within the episode: listing every task currently performed in your role, asking an AI assistant to translate each into transferable skill language relevant to a target field, and using that reframed list to identify roles that genuinely fit rather than roles that merely sound appealing from the outside. The episode also covers preparing for informational interviews, including specific, thoughtful questions to ask someone already working in a field of interest, and how to interpret their answers honestly rather than through rose-tinted assumption. Robin closes with a single, manageable first step: one informational conversation booked within the next two weeks, treated as research rather than a job application, in 2026.

    Hosted on Acast. See acast.com/privacy for more information.


    Episode 388 - Reducing Your Energy Bills at Home Without Buying New Appliances (2026) Oct 12, 2026
    Show notes

    Episode 388 - Reducing Your Energy Bills at Home Without Buying New Appliances (2026)

    There is a specific, sinking feeling reserved for the energy bill envelope or email, opened with the same reluctance usually kept for medical results, followed by the familiar, largely ineffective response of turning down the thermostat and sitting cold and irritated in a coat indoors. In this episode, Robin shows that meaningfully reducing energy costs rarely requires buying a single new appliance, and instead walks through what artificial intelligence can help you understand and change using only what you already own.

    The episode covers how to use AI to interpret a confusing energy statement in plain language, understanding exactly where usage is highest and why, rather than guessing. Robin explains practical, no-cost and low-cost habit changes AI can help identify and prioritise based on your actual household patterns, such as timing of appliance use, heating and cooling habits, and standby power drains from devices left plugged in unnecessarily, and how to use AI to calculate realistic potential savings from specific changes before committing to them, so effort goes toward what will actually make a measurable difference rather than minor changes that feel significant but save little.

    The episode also addresses the genuine confusion many households feel about tariffs, time-of-use pricing, and switching providers, explaining how to use AI to compare options in plain language while being clear that final tariff decisions and contract details should always be verified against the official provider or an independent, reputable comparison service. Robin's approach throughout stays firmly grounded in reducing the stress of not understanding where money goes, which the episode frames as almost worse than the bill itself, replacing vague guilt with specific, actionable understanding.

    This episode is ideal for renters who cannot replace appliances even if they wanted to, homeowners without a renovation budget, anyone who has felt confused or overwhelmed by their own energy statement, and listeners simply looking for genuine, no-spend ways to lower a recurring household cost. It speaks to search terms including reducing energy bills at home, understanding your energy statement, no-cost energy saving tips, lowering electricity and heating costs, and using AI to analyse household energy use in 2026, ending with a simple, prioritised list of changes to try this month.

    The episode includes a specific worked example: a household discovering through AI-assisted analysis of their energy statement that a large share of unexplained cost came from an old appliance's standby draw and inconsistent heating schedules rather than anything requiring new equipment, leading to a noticeable saving from habit changes alone. Robin also discusses reading a smart meter or energy app correctly, understanding peak versus off-peak pricing where it applies, and simple seasonal adjustments that make a genuine difference without any purchase. The episode closes with a short, prioritised action list for the coming month, focused entirely on habits and understanding rather than spending, ideal for renters and homeowners alike in 2026.

    Hosted on Acast. See acast.com/privacy for more information.


    Episode 387 - Learning to Run Your First 5K Without a Personal Trainer (2026) Oct 11, 2026
    Show notes

    Episode 387 - Learning to Run Your First 5K Without a Personal Trainer (2026)

    Watching a runner pass by, breathing easily on a cool Saturday morning, while a quiet inner voice insists "I could never do that," is a genuinely common experience, often rooted in one bad early attempt where three minutes in, lungs burning, felt like proof rather than simply an unconditioned body finding its feet. In this episode, Robin shows how artificial intelligence can build a completely free, realistic, beginner-appropriate path from that discouraging memory to standing, nervous but ready, at the start line of a local 5K.

    The episode covers how to use AI to build a genuine couch-to-5K style training plan tailored to your actual current fitness level rather than a generic template, including realistic run-walk intervals that build gradually instead of overwhelming a body that has not run in years. Robin explains how to use AI to understand basic injury-aware pacing principles, recognising the difference between normal new-runner discomfort and warning signs that should prompt rest or a visit to a professional, and how to set specific, motivating short-term goals that keep momentum going through the inevitable weeks when motivation dips. The episode also covers using AI to track progress simply, without needing expensive wearables or apps, and how to adjust a plan realistically after a missed week rather than abandoning the whole effort out of frustration or shame.

    Robin is clear throughout that this episode is general fitness education rather than personalised medical or training advice, and encourages anyone with existing health conditions, injuries, or significant time away from exercise to check with a doctor before beginning a new running programme. The tone throughout is warm and genuinely encouraging rather than aggressively motivational, acknowledging that the hardest part of running for most beginners is not physical capacity but the willingness to start looking, and feeling, like a beginner in public.

    This episode suits complete beginners intimidated by running culture, anyone who has tried and given up on running before, budget-conscious listeners who cannot justify a personal trainer, and anyone training for their very first race. It speaks to search terms including couch to 5K training plan, learning to run as a beginner, free running coach alternatives, building an exercise habit, and using AI for fitness training in 2026, closing with a realistic first-week schedule anyone can start this weekend.

    Robin shares a specific first-week structure within the episode: three short run-walk sessions built entirely around your current fitness level rather than a generic template, each ending with a simple note on how the body actually felt, fed back to an AI assistant to adjust the following week's plan intelligently. The episode discusses realistic expectations around week-to-week progress, normalising plateaus and occasional harder days rather than treating them as failure. Robin also covers simple, free ways to stay motivated without expensive gear, including local running groups, free tracking using nothing more than a phone's basic timer, and setting a specific, meaningful local 5K as a genuine target date, in 2026.

    Hosted on Acast. See acast.com/privacy for more information.


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