The Functional Code Podcast

Dr. Jace Nybo, Dr. Addy Knutson

We are here to bring you knowledge and tools to help you better yourself. Dr. Jace Dr. Addy We are The Functional Podcast

  1. 6D AGO

    Fixing Biology: Mitochondria, GLP-1, EMFs & The Future of Performance | Alex Kikel

    Mitochondria. GLP-1. Peptides. EMFs. Structured water.Most people are chasing fat loss and hormones without understanding what actually governs cellular performance.In Episode 110 of The Functional Code, Dr. Jace and Dr. Addy sit down with performance consultant Alex Kikel — known for working with elite athletes, clinicians, and high-level performers — to break down the deeper layer of biology driving fat loss, recovery, and longevity.This is not a surface-level peptide conversation.We dive into:✅ Mitochondrial hyperpolarization vs hypopolarization✅ What “overspinning” mitochondria actually means✅ How peptides influence membrane voltage✅ Why GLP-1 may be deficient in modern society✅ Microdosing vs bolus GLP strategies✅ SHBG vs free testosterone — what truly matters✅ Why total testosterone doesn’t tell the full story✅ Plasmalogens & remyelination explained✅ Exosomes for brain recovery✅ EMF exposure & collagen degradation in athletes✅ Parasympathetic beta oxidation (PBO walking)✅ Carbon dioxide tolerance & HIIT adaptation✅ Structured water & mitochondrial communication✅ Injury recovery stacks (BPC-157 vs TB-500 vs GHK-Cu)✅ Clotho protein pathways & longevityAlex connects mitochondrial membrane potential, environmental exposure, hormone transport, and performance adaptation into one unified framework.If you’re struggling with:• Stubborn fat loss• Hormone confusion• Chronic fatigue• Inflammation• Brain fog• Injury recovery plateaus• Or wanting deeper longevity insightThis episode will challenge how you think about biology.⏱️ Timestamps00:00 – “Fixing Biology” Explained03:00 – From Concussion to Performance Science08:00 – Mitochondria as the Governor of Performance12:00 – Hyperpolarization vs Hypopolarization17:00 – Minimalist Mitochondrial Stack21:00 – GLP-1 Strategy & Receptor Decay29:00 – Weight Loss, Stress & Cortisol Load34:00 – Training: HIIT vs Hypertrophy vs Longevity41:00 – Fascia, Trauma & Stored Energy48:00 – EMF Exposure & Athletic Injury Patterns56:00 – BPC-157 vs TB-500 Differences01:00:00 – Hormones: SHBG vs Free Testosterone01:07:00 – Plasmalogens & Brain Repair01:13:00 – Exosomes & Neural Recovery01:18:00 – Clotho & Longevity Pathways🔬 Key TakeawaysMitochondrial membrane voltage dictates energy output and inflammation.More peptides isn’t better — overspinning creates oxidative spillover.GLP-1 isn’t just for weight loss — it influences neurochemistry.SHBG may matter more than free testosterone.Environmental exposure (light, EMF, grounding) affects cellular signaling.Fat loss without mitochondrial support leads to plateaus.Recovery requires structural + signaling support.📲 Alex KikelWebsite: https://theprepcoach.comCommunity: https://skool.com/tpcarmy🎙 About The Functional CodeHosted by Dr. Jace & Dr. Addy, The Functional Code decodes health, performance, longevity, and human optimization through an evidence-based, tissue-specific lens.New episodes weekly.Subscribe for:• Evidence-based health strategy• Performance physiology• Clinical frameworks• Longevity tools🎧 LISTEN & SUBSCRIBE🎙 Spotify: https://open.spotify.com/show/3aY5zkhwg5Rzk2q33cbIlf🍎 Apple Podcasts: https://podcasts.apple.com/us/podcast/the-functional-code-podcast/id1754585557📺 YouTube: https://www.youtube.com/channel/UC1ik_6wOJin5IxtZXvHdurw⚠️ Disclaimer: This podcast is for educational purposes only and does not substitute for medical advice. Consult your healthcare provider before making health decisions.Are mitochondria the real governor of performance, fat loss, recovery, and longevity?Subscribe for more evidence-driven conversations on performance, longevity, and functional medicine. Resources:doi: 10.1021/acs.chemrev.2c00534https://airestech.com/collections/bestsellershttps://blushield.com/collections/allhttps://leelaq.com/product/quantum-bloc/https://shenblossom.com/products/arc-pemf #TheFunctionalCode #Mitochondria #Peptides #GLP1 #Longevity #FatLoss #PerformanceScience

    1h 8m
  2. FEB 25

    The Truth About TMJ, Jaw Pain & Viral Chiropractic Dr Stratton Poulson The Functional Code

    Jaw pain. Headaches. Migraines. Clicking. Locking. Tinnitus.Most people don’t realize their TMJ could be driving all of it.In Episode 109 of The Functional Code, Dr. Jace and Dr. Addy sit down with Dr. Stratton Poulson, chiropractor, educator, and founder of Apex Chiropractic in Dallas, Texas — one of the most recognized voices in modern chiropractic with over 1.5 million followers.This is not just another “jaw cracking” conversation.We dive deep into:✅ What a powerful chiropractic adjustment actually means✅ The difference between smooth vs forceful adjustments✅ Why 80% of TMJ cases are muscle-driven✅ Disc displacement (with & without reduction) explained simply✅ How jaw dysfunction contributes to migraines & headaches✅ The connection between TMJ and vertigo / tinnitus✅ Why clenching at night destroys the joint✅ Night guards: what works and what makes it worse✅ How to assess disc dysfunction clinically✅ When surgery is actually necessary✅ How to choose the right chiropractor for TMJ✅ At-home tools for jaw reliefDr. Stratton breaks down complex biomechanics into practical frameworks clinicians can use immediately — and gives patients actionable steps they can apply today.If you struggle with:• TMJ pain• Jaw clicking or locking• Chronic headaches or migraines• Neck tension• Tinnitus or dizziness• Clenching and grindingThis episode is essential listening.⏱️ Timestamps00:00 – What Makes an Adjustment “Powerful”?03:00 – Why Chiropractic Works Faster Than Rehab08:00 – The Art vs Science of Adjusting10:30 – How Dr. Stratton Became “The Jaw Guy”14:00 – TMJ Classification: Hypermobile vs Hypomobile18:00 – Disc Displacement & Ligament Damage23:00 – How to Stabilize a Clicking Jaw25:00 – Muscle vs Joint Pain: How to Tell30:00 – Night Guards: What Actually Works34:00 – Dental Work & TMJ Dysfunction39:00 – TMJ, Vertigo & Tinnitus Explained46:00 – Smooth vs Forceful Adjustments54:00 – Understanding Jaw Deviation Patterns01:04:00 – Jaw Adjustment Techniques Explained01:10:00 – At-Home TMJ Treatment01:14:00 – Jaw Pain & Migraines Connection01:16:00 – Mouth Taping, Airway & Development01:21:00 – Chewing on One Side & Joint Compression01:24:00 – How to Choose the Right Chiropractor01:29:00 – When to Seek Help🔬 Key Takeaways- TMJ dysfunction is often muscular — but can become structural over time.- Clicking doesn’t always mean damage — but it does mean dysfunction.- The longer you wait, the harder TMJ becomes to treat.- Smooth precision beats brute force in chiropractic.- Many “mystery” headaches originate in the jaw and neck.📲Dr. Stratton Poulson Founder, Apex Chiropractic – Dallas, TX https://www.apexchiropractic.org/YouTube: @dr.strattonpoulson https://www.youtube.com/@dr.strattonpoulsonInstagram: @stratpoulson https://www.instagram.com/stratpoulson/🎙 About The Functional CodeHosted by Dr. Jace & Dr. Addy, The Functional Code decodes health, performance, longevity, and human optimization through an evidence-based, tissue-specific lens.New episodes weekly.Subscribe for:• Evidence-based health strategies• Human performance science• Clinical frameworks• Bio-optimization tools 🎧 LISTEN & SUBSCRIBE🎙 Spotify: https://open.spotify.com/show/3aY5zkhwg5Rzk2q33cbIlf 🍎 Apple Podcasts: https://podcasts.apple.com/us/podcast/the-functional-code-podcast/id1754585557 📺 YouTube: https://www.youtube.com/channel/UC1ik_6wOJin5IxtZXvHdurw⚠️ Disclaimer: This podcast is for educational purposes only and does not substitute for medical advice. Consult your healthcare provider before making health decisions.

    1h 31m
  3. FEB 18

    Digital Twins in Healthcare: How AI Could Predict Disease Before Symptoms | The Functional Code

    AI can now model your health trajectory years before you feel symptoms.In this episode of The Functional Code, Dr. Addy and Dr. Jace break down how Digital Twin technology is transforming healthcare — allowing AI to predict disease risk, metabolic dysfunction, insulin resistance, neurological decline, and even fall risk months to years before diagnosis.Instead of treating health as a snapshot, digital twins treat it as a movie — tracking genomics, proteomics, metabolomics, microbiome data, blood markers, wearables, and lifestyle trends over time.This is where healthcare is heading.🧠 What Is a Digital Twin?-A digital twin is a dynamic AI model of your biology built from:-Blood work trends (A1C, fasting glucose, insulin, inflammatory markers)-Genomics & methylation pathways-Microbiome composition-Wearable data (WHOOP, HRV, recovery trends)-Sleep patterns-Movement & gait tracking-Imaging (MRI, X-ray)-Lifestyle & environmental inputsInstead of asking:“Are you sick right now?”It asks:“Where are you headed?”🚨 What You’ll Learn-Why disease signals often appear years before diagnosis-How Stanford research showed early molecular warning patterns-How Google Health AI outperformed snapshot-based clinical prediction-Why biological trends matter more than “normal lab ranges”-How insulin resistance can begin with disrupted sleep-Why tracking trajectory beats chasing symptoms-How AI detects neurological changes through gait analysis-The privacy concerns surrounding AI health data-How to begin building your own personal digital twin today🎯 Real Example DiscussedDr. Addy shares his experience using advanced molecular tracking and how:AI simulated thousands of supplement and lifestyle scenariosPersonalized recommendations were generatedTrends were identified years before they would have shown up clinicallyThis is precision medicine evolving in real time.📈 The Core IdeaAI does not panic over one bad number.It detects acceleration.If your fasting glucose rises 5% per year…If your testosterone declines steadily…If sleep disruption trends upward…AI flags the trajectory long before crisis.That’s the power.Episode: 108AI Series: Ep 6Dr. Jace Nybo D.C. Dr. Addy Knutson D.C.Guide:00:00 From Snapshots to a Health “Movie”: Why Trajectory Matters01:07 Welcome to the AI Series: What Is a Digital Twin?02:32 How Digital Twins Work: Data + Algorithms + Real-Time Tracking03:32 Running Simulations: Testing Supplements, Treatments, and Outcomes05:47 Predicting Disease Early: Trends Like Testosterone, A1C, and Glucose08:45 The Stanford Deep Molecular Tracking Study (Genomics to Microbiome)11:09 Wearables & Biological Age: Why AI Flags Rapid Changes12:43 Practical Use Cases: Frozen Shoulder, Obesity, Sleep, and Insulin Resistance16:09 AI vs Clinicians: Longitudinal Prediction and “Network Thinking”18:31 Humans + AI: Emotional Intelligence Still Matters in Care19:41 Micah’s Company & the Origins of Digital Twins (Jet Engines → Humans)22:14 Precision medicine: matching treatments to genomic & microbiome subtypes24:43 Building your lifelong health database (labs, scans, life events)28:02 Using AI for trend-spotting: bloodwork, recovery, and a ‘digital twin’29:57 Case study: Theum/Theorum report—personalized supplements, diet & exercise34:47 Beyond bloodwork: movement screens, gait AI, and early neuro risk detection37:21 Privacy & data ownership: protecting your health data in the AI era38:39 Final takeaways, call to action, and medical disclaimerResources: https://therio.me/https://doi.org/10.1038/s41746-018-0029-1https://doi.org/10.1038/s41591-019-0414-6Ep: 45 Personalized Healthcare with Multiomics and AI. Ozone Therapy. Cold Plunging with Micah Lowehttps://youtu.be/6jewWXwsdfg

    41 min
  4. FEB 11

    Your Sleep Isn’t Broken — The System Is / AI Series Ep 5 / The Functional Code Podcast

    Sleep isn’t something you “try harder” at — it’s something you fix at the system level.In this episode of The Functional Code, Dr. Addy and Dr. Jace break down how AI, wearables, and modern physiology are reshaping how we understand sleep, recovery, pain, and long-term health.This isn’t another episode about sleep hacks, supplements, or forcing yourself to bed earlier.Instead, we explore:-Why sleep is the output of multiple biological control systems-How AI wearables like WHOOP are changing awareness, not behavior-The real reason people feel exhausted even after “8 hours in bed”-How stress, pain, nervous system state, and circadian timing interactW-hen AI helps… and when trusting your body matters more than dataDr. Addy explains why sleep is like charging your phone — you don’t push harder, you fix the charger, cable, outlet, temperature, and background processes.Dr. Jace shares real-world experience using AI wearables to identify:-Temperature sensitivity-Late meals and caffeine timing-Seasonal sleep changes-Stress patterns-Recovery trends over years, not daysYou’ll also learn:-How sleep deprivation increases pain sensitivity-Why insomnia, chronic pain, and nervous system dysregulation overlap-What recent AI sleep research is revealing about future disease risk-How to run a 7-day sleep experiment using AI without overwhelm-This episode is for anyone who:-Feels tired despite “doing everything right”-Uses (or wants to use) sleep trackers without anxiety-Wants better recovery, performance, and longevity-Suspects stress or pain is driving poor sleep-Wants clarity, not more sleep rulesEpisode: 107AI Series: Ep 5Dr. Jace Nybo D.C. Dr. Addy Knutson D.C.⏱Guide: Jump to the section you need most 👇00:00 – Sleep explained as a system (not effort)01:00 – Why this AI sleep episode is different02:00 – Using wearables to detect real sleep patterns04:00 – Time in bed vs actual sleep quality06:00 – Eye-tracking and nervous system downshifting08:00 – Why sleep “hacks” fail most people10:00 – Journaling, caffeine, stress & AI pattern recognition14:00 – Homeostatic sleep drive (the pressure tank analogy)17:00 – Circadian rhythm, light, food, and consistency20:00 – Using AI to stabilize your sleep-wake cycle23:00 – Temperature, breathing, pain, and autonomic balance25:00 – Fight, flight, freeze & chronic exhaustion26:00 – Sleep deprivation, pain sensitivity, and perception30:00 – AI sleep research & disease prediction (Stanford / Nature)33:00 – Building your personal sleep dashboard36:00 – The 7-day AI-guided sleep experiment40:00 – AI coach vs human coach (what AI misses)44:00 – Final reflections + how to start tonight🎧 LISTEN & SUBSCRIBE🎙 Spotify: https://open.spotify.com/show/3aY5zkhwg5Rzk2q33cbIlf🍎 Apple Podcasts: https://podcasts.apple.com/us/podcast/the-functional-code-podcast/id1754585557📺 YouTube: https://www.youtube.com/channel/UC1ik_6wOJin5IxtZXvHdurw💬 JOIN THE CONVERSATIONWhat has actually improved your sleep — not in theory, but in real life?Wearables? Breathwork? Temperature? Timing? Pain management?Drop a comment below 👇If this episode helped you, share it with someone who’s exhausted and doesn’t know why.⚠️ DISCLAIMERThe content provided in this podcast is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional regarding medical concerns.

    46 min
  5. FEB 4

    AI Can See Your Health Trajectory — Can You / AI Series Ep 4 / The Functional Code Podcast

    AI can already model your health trajectory for the next 10–20 years.The real question is whether you understand what it’s seeing. In this episode of The Functional Code, Dr. Addy and Dr. Jace break down how AI can be used to model long-term health, biological aging, and longevity trends—using real data like blood markers, epigenetics, VO₂ max, wearables, and lifestyle habits. We explain the difference between chronological age vs biological age, why most people misunderstand longevity data, and how to use AI as a pattern-recognition and decision-support tool—not a replacement for doctors or clinicians. This episode is about direction, not diagnosis. 🎯 What You’ll Learn The difference between chronological age and biological ageHow AI models long-term health trajectories instead of single data pointsWhich data actually matters for longevity (and what doesn’t)How blood work, epigenetics, genomics, and VO₂ max fit togetherWhen wearables help—and when they create anxietyHow to store your health data in AI to improve long-term insightWhy habits, not hacks, move the longevity needleHow to use R.C.O.P.E. prompting to ask AI better health questions 🧠 Key Idea We Emphasize AI isn’t here to predict your future.It’s here to reveal patterns you can act on. When you give AI more context—labs, scans, sleep data, movement habits—it becomes better at highlighting: systems trending toward risksystems showing resilienceearly course-correction prioritiesThat’s how you use AI for longevity without losing common sense. Episode: 106 AI Series: Ep 4 Dr. Jace Nybo D.C.  Dr. Addy Knutson D.C. ⏱️ GUIDE (TIMESTAMPS) 00:00 – AI and health trajectory modeling02:10 – Chronological age vs biological age05:00 – Blood work, epigenetics, and methylation09:40 – Using AI to analyze long-term health trends13:30 – Wearables: benefits vs anxiety18:10 – VO₂ max and longevity insights22:30 – Genomics and personalized risk awareness26:50 – High-leverage longevity habits30:40 – Live AI demo using R.C.O.P.E. prompting31:30 – Final thoughts on AI, habits, and longevity 🎧 WATCH / LISTEN ▶️ YouTubehttps://www.youtube.com/channel/UC1ik_6wOJin5IxtZXvHdurw 🎧 Spotifyhttps://open.spotify.com/show/3aY5zkhwg5Rzk2q33cbIlf 🍎 Apple Podcastshttps://podcasts.apple.com/us/podcast/the-functional-code-podcast/id1754585557 💬 JOIN THE CONVERSATION What data are you currently tracking for your health?Blood work, wearables, sleep, VO₂ max, or something else? Leave a comment—we read them all. If this episode helped you understand your long-term health direction, share it with someone thinking about longevity. 🔍 HASHTAGS #AIHealth#Longevity#BiologicalAge#HealthTrajectory#Wearables#Epigenetics#VO2Max#HumanPerformance#TheFunctionalCode

    32 min
  6. JAN 28

    Why AI Training Plans Get People Injured / AI Series Ep 3 / The Functional Code Podcast

    Most AI workout plans don’t fail because they’re bad.They fail because they ignore human biology.AI can build workout plans in seconds — but that doesn’t mean they’re safe.In this episode of The Functional Code, Dr. Addy and Dr. Jace break down why AI-generated training programs often lead to overuse injuries, stalled progress, and chronic pain, and more importantly, how to use AI the right way without replacing real expertise.You’ll learn what AI does well, what it cannot do, and how improper prompts, missing context, and lack of biological nuance can quietly sabotage your training. This episode also introduces 3 powerful AI training prompts designed to help you build safer, smarter, longevity-focused programs — without pretending AI understands your body better than you do.Whether you’re a coach, clinician, athlete, or everyday gym-goer experimenting with ChatGPT, Gemini, or Claude — this episode will fundamentally change how you think about AI, training, and injury prevention.🧠 What You’ll Learn:Why generic AI workout plans increase injury riskWhat AI can organize — and what it will never feel or senseHow missing context (sleep, stress, injuries) breaks AI programmingWhy joint-specific training matters more than “exercises”How to build a personal AI database that improves over timeThe 3 safest AI prompts for training, recovery, and progressionWhen AI is useful — and when you must use a human expertEpisode: 105 AI Series: Ep 3 Dr. Jace Nybo D.C. Dr. Addy Knutson D.C.⏱️ Episode Timestamps / Chapters00:00 – Welcome to The Functional Code01:00 – Why AI is being used more than Google02:00 – How AI “memory” changes output quality over time03:00 – Why AI training plans are becoming dangerous04:00 – AI will NOT replace coaches (and why that matters)05:00 – Wearables, movement data, and the future of AI training06:30 – Why AI struggles with human nuance07:00 – Feeding AI your injury history & limitations08:30 – Training tissues vs training exercises09:30 – When AI plans stall or make pain worse10:30 – How clinicians use AI safely as a framework12:00 – Training intensity zones: detraining vs retraining vs stimulus14:00 – Using AI for mental health & recovery check-ins15:30 – Why most people forget recovery without reminders16:00 – AI for non-gym movement (classes, sports, lifestyle)17:30 – The future of gyms, community, and health hubs19:30 – What AI does well vs what it fails at21:00 – Why feedback loops matter more than programs22:00 – Prompt #1: Building a safe weekly training structure26:00 – Comparing ChatGPT vs Claude vs Gemini outputs30:00 – Prompt #2: Injury-aware constraints & guardrails33:30 – Using past podcast transcripts to improve AI prompts37:00 – Prompt #3: Daily & weekly feedback-based autoregulation41:00 – Recovery rules, sleep gates, pain thresholds44:00 – How to ask AI what it needs from you45:00 – Final thoughts: AI as a tool, not a replacement46:00 – Disclaimer & closing remarks⚠️ Important ReminderAI is a tool, not a clinician, coach, or medical provider. Training decisions still require judgment, context, and biological awareness. Always seek professional guidance when dealing with pain, injury, or complex health conditions.🎧 WATCH / LISTEN▶️ YouTubehttps://www.youtube.com/channel/UC1ik_6wOJin5IxtZXvHdurw🎧 Spotifyhttps://open.spotify.com/show/3aY5zkhwg5Rzk2q33cbIlf🍎 Apple Podcastshttps://podcasts.apple.com/us/podcast/the-functional-code-podcast/id1754585557💬 JOIN THE DISCUSSIONIf you use AI for training:-What joint are you most protective of right now?-Has an AI plan ever pushed you too fast?-Leave a comment and share this with someone using AI for workouts who doesn’t want to get injured.🔍 HASHTAGS#AITraining#InjuryPrevention#JointHealth#FunctionalTraining#FRC#LongevityFitness#HumanPerformance#WorkoutInjuries#TheFunctionalCode

    45 min
  7. JAN 21

    How to Use AI to Find Better Doctors / AI Series Ep. 2 / The Functional Code Podcast

    Finding the right doctor can save you months — or years — of frustration. In this episode of The Functional Code, Dr. Addy and Dr. Jace break down how to use AI responsibly to: identify the right type of provideravoid over-treatment and referral loopsask better questions at your first appointmentand advocate for yourself inside the medical systemThis episode focuses on AI as a navigator, not a replacement — empowering you with clarity, context, and better decisions. Episode: 104 AI Series: Ep 2 Dr. Jace Nybo D.C.  Dr. Addy Knutson D.C. Guide:00:00 – Welcome to The Functional Code01:00 – Why finding the right doctor matters more than speed02:00 – Diagnostic errors & why outcomes suffer03:30 – Referral loops and wasted months of care04:45 – Overkill solutions for manageable problems06:00 – Why surgery is often the wrong first answer07:00 – Why specificity matters when using AI08:15 – What AI can do (and where it stops)09:30 – What AI cannot do (diagnosis, prescriptions, exams)10:45 – Red flags vs yellow flags vs green flags explained12:30 – Bad prompt example (what NOT to ask AI)14:00 – Why vague prompts fail15:15 – Building a better prompt with R.C.O.P.E.16:00 – Role: using AI as a healthcare navigator17:00 – Context: symptoms, history, stress, activity18:15 – Objective: finding the right provider (not a diagnosis)19:30 – Parameters: guardrails, safety, escalation21:00 – Expected output: questions, credentials, red flags22:30 – Low back pain example walkthrough24:00 – Which providers actually make sense first25:30 – Why PCPs struggle with musculoskeletal pain26:45 – Evidence from The Lancet on MSK care28:00 – Red flags in providers (guarantees, passive care)29:30 – 5 questions you should ask at your first visit31:00 – When imaging actually makes sense33:00 – When and how to escalate care35:00 – Second opinions & patient advocacy37:00 – Using AI responsibly across platforms39:00 – Final takeaways & empowerment message 🎧 LISTEN EVERYWHERE 🎙 Spotify: https://open.spotify.com/show/3aY5zkhwg5Rzk2q33cbIlf🍎 Apple Podcasts: https://podcasts.apple.com/us/podcast/the-functional-code-podcast/id1754585557📺 YouTube: https://www.youtube.com/channel/UC1ik_6wOJin5IxtZXvHdurw ⚠️ DISCLAIMER This content is for informational purposes only and does not replace professional medical advice, diagnosis, or treatment. Always consult a qualified healthcare provider regarding your health.

    41 min
  8. JAN 14

    The Right Way to Think with AI / The Functional Code Podcast

    AI doesn’t make you smarter — it amplifies how you already think.That’s why most people are using it wrong.📌 EPISODE OVERVIEWIn this foundational episode of The Functional Code, Dr. Addy and Dr. Jace kick off a new series on AI in health, fitness, training, and medicine.Rather than treating AI as a replacement for human expertise, this episode teaches you how to use AI safely, intelligently, and strategically as a decision-support tool to improve your life — without outsourcing judgment or common sense.This episode lays the groundwork for everything that follows in the AI series.🧠 WHAT YOU’LL LEARN IN THIS EPISODE-Why AI is not intelligence, but a pattern-recognition system-The biggest mistake people make when using AI for health and fitness-How to use Prompt Engineering to get dramatically better results-The R.C.O.P.E. framework for structuring AI prompts:RoleContextObjectiveParametersExpected OutputLive examples using AI to:-Build safer workout frameworks-Account for injuries and limitations-Learn exercises with video guidance-Create structured plans without blind prescription-Why AI should augment expertise — not replace it-How bias in AI models influences the answers you receive-When AI is helpful — and when you should defer to a real professionalEp 103AI Series Ep 1 ⏱️ TIMESTAMPS00:00 – Welcome to The Functional Code01:00 – Why AI is now unavoidable in health & performance02:00 – AI is not intelligence: what it actually does03:00 – What prompt engineering really means04:00 – R.C.O.P.E. framework explained (Role)06:00 – Context: why details change everything09:00 – Objectives: clarity vs vague goals11:00 – Parameters: setting guardrails & safety14:00 – Expected output: controlling structure & format16:00 – Live demo: building a workout prompt with injury context19:00 – Reviewing AI output (what it gets right & wrong)23:00 – Master prompts & using AI across life domains26:00 – AI bias, limitations, and alternative health30:00 – Can AI replace doctors? (No — and why)35:00 – Final takeaways & safety reminders⚠️ IMPORTANT CONTEXTAI is a powerful assistant — not a coach, doctor, or decision-maker.This episode emphasizes using AI to:-Reduce confusion-Improve preparation-Ask better questions—not to self-diagnose or blindly follow recommendations.🎧 LISTEN ON ALL PLATFORMS🎙 Spotify: https://open.spotify.com/show/3aY5zkhwg5Rzk2q33cbIlf🍎 Apple Podcasts: https://podcasts.apple.com/us/podcast/the-functional-code-podcast/id1754585557📺 YouTube: https://www.youtube.com/channel/UC1ik_6wOJin5IxtZXvHdurw💬 JOIN THE CONVERSATIONWhat’s one area of your life you’d like to use AI more intentionally — without losing human judgment?Drop a comment, subscribe, and share this episode with someone who wants to optimize intelligently, not blindly.📚 DISCLAIMERThe content in this podcast is for informational purposes only and is not a substitute for professional medical advice, diagnosis, or treatment. Always consult a qualified healthcare provider with questions regarding your health.#️⃣ HASHTAGS#ArtificialIntelligence #HealthOptimization #PromptEngineering#Longevity #FunctionalHealth #AIinHealthcare#HumanPerformance #TheFunctionalCode

    38 min

Ratings & Reviews

4
out of 5
2 Ratings

About

We are here to bring you knowledge and tools to help you better yourself. Dr. Jace Dr. Addy We are The Functional Podcast

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