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        <title><![CDATA[TheFitFuturist (English)]]></title>
        <description><![CDATA[Training, sport tools & AI – critically reviewed, clearly explained.]]></description>
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        <copyright><![CDATA[2026 TheFitFuturist]]></copyright>
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        <item>
            <title><![CDATA[Creating a training plan with ChatGPT: how to get a plan that fits]]></title>
            <description><![CDATA[A training plan from ChatGPT takes two minutes. Whether it fits you is decided in the sentences before it: what you leave out, the model fills in with assumptions. Step by step to a plan that fits your goal, your time and your equipment, plus the settings that count, the privacy switch to flip before your first plan, and a prompt tip that used to be right and now makes the result worse.]]></description>
            <link>https://www.thefitfuturist.com/en/training-analysis/chatgpt-training-plan/</link>
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            <dc:creator><![CDATA[Christopher Klenk]]></dc:creator>
            <pubDate>Sun, 16 Aug 2026 18:37:08 GMT</pubDate>
        </item>
        <item>
            <title><![CDATA[Is There a Readiness Score? Yes, Fourteen of Them]]></title>
            <description><![CDATA[Your ring reports 34 out of 100, your watch says you are recovered. Both measured the same body on the same night. Which number is right, nobody can tell you, because no manufacturer discloses how it calculates.]]></description>
            <link>https://www.thefitfuturist.com/en/news/is-there-a-readiness-score/</link>
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            <category><![CDATA[News]]></category>
            <dc:creator><![CDATA[Christopher Klenk]]></dc:creator>
            <pubDate>Fri, 31 Jul 2026 13:21:50 GMT</pubDate>
        </item>
        <item>
            <title><![CDATA[HRV Apps: What a Study of 206 Apps Really Reveals]]></title>
            <description><![CDATA[An HRV app measures your heart rate variability and turns it into a single number for your recovery. Sounds simple. It isn't. A recent study went through 206 of these apps, and the result is sobering: many hand you a value without ever revealing how it came about.]]></description>
            <link>https://www.thefitfuturist.com/en/news/hrv-apps-study/</link>
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            <category><![CDATA[News]]></category>
            <dc:creator><![CDATA[Christopher Klenk]]></dc:creator>
            <pubDate>Wed, 22 Jul 2026 11:15:35 GMT</pubDate>
        </item>
        <item>
            <title><![CDATA[DFA Alpha 1 for Recovery: How to Actually Measure Your Regeneration]]></title>
            <description><![CDATA[DFA alpha 1 doesn't just measure your aerobic threshold, it also measures your recovery. This guide shows you how to record the measurement cleanly (morning or after training), what the values mean, and how reliable that really is compared to the established HRV traffic lights.]]></description>
            <link>https://www.thefitfuturist.com/en/training-analysis/dfa-alpha-1-recovery/</link>
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            <dc:creator><![CDATA[Christopher Klenk]]></dc:creator>
            <pubDate>Mon, 13 Jul 2026 15:26:56 GMT</pubDate>
        </item>
        <item>
            <title><![CDATA[ACSM Strength Training Guidelines 2026: What Changed After 17 Years]]></title>
            <description><![CDATA[The ACSM rewrote its strength training guidelines for the first time since 2009, and a few points jumped out at me as a coach. What actually matters, what is ballast, where it fails advanced lifters, and why power after 40 is the point almost nobody has on their radar.]]></description>
            <link>https://www.thefitfuturist.com/en/news/acsm-strength-training-guidelines-2026/</link>
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            <category><![CDATA[News]]></category>
            <dc:creator><![CDATA[Christopher Klenk]]></dc:creator>
            <pubDate>Sun, 12 Jul 2026 20:32:44 GMT</pubDate>
        </item>
        <item>
            <title><![CDATA[Sweat Biomarkers in Smart Textiles: Lab Values Without Blood?]]></title>
            <description><![CDATA[A smart textile measures lactate, electrolytes and more straight from your sweat, no prick required. What the study can really do, where its limits are, and what self-coaching athletes get from it today.]]></description>
            <link>https://www.thefitfuturist.com/en/news/smart-textile-sweat-biomarker-sensors/</link>
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            <category><![CDATA[News]]></category>
            <dc:creator><![CDATA[Christopher Klenk]]></dc:creator>
            <pubDate>Sat, 04 Jul 2026 12:29:27 GMT</pubDate>
        </item>
        <item>
            <title><![CDATA[Strength Training Without a Max Test: Three Ways to Set Your Load]]></title>
            <description><![CDATA[A new study compares three ways to set training load: fixed percentage, reps in reserve, and barbell velocity. The real takeaway for self-coached lifters: two of them skip the risky 1RM max test — and work just as well. Here's how to apply it.]]></description>
            <link>https://www.thefitfuturist.com/en/news/strength-training-without-max-test/</link>
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            <category><![CDATA[News]]></category>
            <dc:creator><![CDATA[Christopher Klenk]]></dc:creator>
            <pubDate>Sat, 20 Jun 2026 21:23:32 GMT</pubDate>
        </item>
        <item>
            <title><![CDATA[90 Minutes of Strength Training for a Longer Life? What the Study Shows]]></title>
            <description><![CDATA[90 to 120 minutes of strength training a week — that's supposed to be the sweet spot for a longer life, according to a new 30-year study. An easy number to grab onto. That's exactly the problem.]]></description>
            <link>https://www.thefitfuturist.com/en/news/strength-training-longevity-study/</link>
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            <category><![CDATA[News]]></category>
            <dc:creator><![CDATA[Christopher Klenk]]></dc:creator>
            <pubDate>Mon, 15 Jun 2026 21:44:37 GMT</pubDate>
        </item>
        <item>
            <title><![CDATA[ChatGPT vs. Dietitian: What the New Study Reveals]]></title>
            <description><![CDATA[ChatGPT will build you a meal plan on demand — but as well as a trained dietitian? A new study in the Journal of Nutrition tested exactly that. The result is awkward for both sides.]]></description>
            <link>https://www.thefitfuturist.com/en/news/chatgpt-vs-dietitian-meal-plan-study/</link>
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            <category><![CDATA[News]]></category>
            <dc:creator><![CDATA[Christopher Klenk]]></dc:creator>
            <pubDate>Sat, 13 Jun 2026 22:46:13 GMT</pubDate>
        </item>
        <item>
            <title><![CDATA[FITT-VP Study: Which AI Writes the Better Training Plan?]]></title>
            <description><![CDATA[This is not about which AI model writes the best training plans — all four LLMs in the study are outdated by now. The interesting part is the method: a new study systematically rates AI training plans against FITT-VP, an established framework from sports medicine.]]></description>
            <link>https://www.thefitfuturist.com/en/news/fitt-vp-study-ai-training-plans/</link>
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            <category><![CDATA[News]]></category>
            <dc:creator><![CDATA[Christopher Klenk]]></dc:creator>
            <pubDate>Fri, 12 Jun 2026 14:40:27 GMT</pubDate>
        </item>
        <item>
            <title><![CDATA[Garmin Running Trends 2026: What I Noticed]]></title>
            <description><![CDATA[The Garmin running trends 2026 read like a study of all runners, and one number sticks: an average VO2max of 50, plus an average pace of 5:49 min/km for men. If you wear a Garmin yourself and have 44 on the display right now, or run at 6:30, you read that and think: left behind. That exact feeling is what I take apart here.]]></description>
            <link>https://www.thefitfuturist.com/en/news/garmin-running-trends-2026/</link>
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            <category><![CDATA[News & Insights]]></category>
            <dc:creator><![CDATA[Christopher Klenk]]></dc:creator>
            <pubDate>Mon, 01 Jun 2026 21:23:51 GMT</pubDate>
        </item>
        <item>
            <title><![CDATA[AI Chatbots in Fitness — New Study: Trust Follows Relevance]]></title>
            <description><![CDATA[A new study shows: AI chatbots are being used in fitness — but trust only forms when they're relevant to your training. What this means for athletes.]]></description>
            <link>https://www.thefitfuturist.com/en/news/ai-chatbots-fitness-study/</link>
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            <category><![CDATA[News]]></category>
            <dc:creator><![CDATA[Christopher Klenk]]></dc:creator>
            <pubDate>Tue, 26 May 2026 12:54:20 GMT</pubDate>
        </item>
        <item>
            <title><![CDATA[Perplexity for Training — Still Worth It in 2026?]]></title>
            <description><![CDATA[ChatGPT, Gemini, and Claude now cite sources too — so is Perplexity still worth it for athletes? Here's when it still makes sense, when other tools are the better choice, and how to research training topics more effectively with any AI.]]></description>
            <link>https://www.thefitfuturist.com/en/training-analysis/perplexity-for-training-still-worth-it-in-2026/</link>
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            <dc:creator><![CDATA[Christopher Klenk]]></dc:creator>
            <pubDate>Fri, 15 May 2026 15:54:41 GMT</pubDate>
        </item>
        <item>
            <title><![CDATA[VBT Sensor in Resistance Bands: What the 2026 Study Shows]]></title>
            <description><![CDATA[Chinese researchers built a resistance band with a fiber velocimeter inside — real-time VBT feedback for a training tool that has never had a measurement layer. What the 2026 study shows, and what it would mean for strength training and rehab.]]></description>
            <link>https://www.thefitfuturist.com/en/news/vbt-sensor-resistance-band-study-2026/</link>
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            <category><![CDATA[News]]></category>
            <dc:creator><![CDATA[Christopher Klenk]]></dc:creator>
            <pubDate>Mon, 11 May 2026 20:49:37 GMT</pubDate>
        </item>
        <item>
            <title><![CDATA[DFA α1 Also Tracks Recovery? What a New Study Shows]]></title>
            <description><![CDATA[A new study in the European Journal of Applied Physiology confirms DFA α1 as an intensity-sensitive biomarker across all training zones — and reveals a surprising recovery signal that RMSSD simply can't provide.]]></description>
            <link>https://www.thefitfuturist.com/en/news/dfa-alpha-1-study-2026-intensity-recovery/</link>
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            <category><![CDATA[News]]></category>
            <dc:creator><![CDATA[Christopher Klenk]]></dc:creator>
            <pubDate>Sun, 03 May 2026 21:44:27 GMT</pubDate>
        </item>
        <item>
            <title><![CDATA[DFA Alpha 1: Which Setup Actually Works?]]></title>
            <link>https://www.thefitfuturist.com/en/training-analysis/dfa-alpha-1-setup-garmin-apple-watch-chest-strap/</link>
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            <dc:creator><![CDATA[Christopher Klenk]]></dc:creator>
            <pubDate>Sat, 02 May 2026 12:06:37 GMT</pubDate>
        </item>
        <item>
            <title><![CDATA[DFA Alpha 1: Aerobic Threshold — The Alternative to Lactate Testing]]></title>
            <link>https://www.thefitfuturist.com/en/training-analysis/dfa-alpha-1-aerobic-threshold/</link>
            <guid isPermaLink="false">https://www.thefitfuturist.com/en/training-analysis/dfa-alpha-1-aerobic-threshold/</guid>
            <dc:creator><![CDATA[Christopher Klenk]]></dc:creator>
            <pubDate>Sat, 02 May 2026 12:06:37 GMT</pubDate>
        </item>
        <item>
            <title><![CDATA[AI in the Gym: Can It Really Replace the Personal Trainer? Where We Are in 2026]]></title>
            <description><![CDATA[Hotworx, NYSC, Vasa, Life Time, Planet Fitness: AI coaches are landing in US gyms in 2026. A practitioner's read from 17 years of training people — what the technology can do, where it structurally fails, and why the question isn't "AI or trainer" but "who does which part."]]></description>
            <link>https://www.thefitfuturist.com/en/news/ai-gym-replace-personal-trainer-2026/</link>
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            <category><![CDATA[News]]></category>
            <dc:creator><![CDATA[Christopher Klenk]]></dc:creator>
            <pubDate>Sun, 26 Apr 2026 18:15:31 GMT</pubDate>
        </item>
        <item>
            <title><![CDATA[Build Your Own AI Running Plan — The Guide for 5k, 10k, Half Marathon and Marathon]]></title>
            <link>https://www.thefitfuturist.com/en/training-analysis/ai-running-training/</link>
            <guid isPermaLink="false">https://www.thefitfuturist.com/en/training-analysis/ai-running-training/</guid>
            <dc:creator><![CDATA[Christopher Klenk]]></dc:creator>
            <pubDate>Sat, 18 Apr 2026 11:09:43 GMT</pubDate>
        </item>
        <item>
            <title><![CDATA[AI vs. Coach: What Studies Actually Show]]></title>
            <link>https://www.thefitfuturist.com/en/training-analysis/ai-training-plan-vs-coach-study/</link>
            <guid isPermaLink="false">https://www.thefitfuturist.com/en/training-analysis/ai-training-plan-vs-coach-study/</guid>
            <dc:creator><![CDATA[Christopher Klenk]]></dc:creator>
            <pubDate>Tue, 14 Apr 2026 09:12:00 GMT</pubDate>
        </item>
        <item>
            <title><![CDATA[ChatGPT as a Technique Coach: What a Study on AI Feedback in Sport Shows]]></title>
            <description><![CDATA[ChatGPT feedback improves sports technique measurably faster than feedback from a training partner – that is the finding of a randomised study from March 2026. What sounds like a university context at first glance is full of transferable ideas for anyone who wants to try ChatGPT technique-feedback training for themselves. At a glance: a study (n=56, randomised) shows that structured ChatGPT feedback improves sports technique significantly more […]]]></description>
            <link>https://www.thefitfuturist.com/en/news/chatgpt-technique-feedback-training/</link>
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            <category><![CDATA[News]]></category>
            <dc:creator><![CDATA[Christopher Klenk]]></dc:creator>
            <pubDate>Sun, 12 Apr 2026 21:10:38 GMT</pubDate>
        </item>
        <item>
            <title><![CDATA[Gemini Gem for Training Planning: How to Build Your Virtual Coach]]></title>
            <link>https://www.thefitfuturist.com/en/training-analysis/gemini-gem-training-plan/</link>
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            <dc:creator><![CDATA[Christopher Klenk]]></dc:creator>
            <pubDate>Thu, 09 Apr 2026 12:40:27 GMT</pubDate>
        </item>
        <item>
            <title><![CDATA[Calculating VO2max with AI: what LLMs and wearables really deliver]]></title>
            <link>https://www.thefitfuturist.com/en/training-analysis/can-ai-estimate-my-vo2max/</link>
            <guid isPermaLink="false">https://www.thefitfuturist.com/en/training-analysis/can-ai-estimate-my-vo2max/</guid>
            <dc:creator><![CDATA[Christopher Klenk]]></dc:creator>
            <pubDate>Tue, 07 Apr 2026 22:56:18 GMT</pubDate>
        </item>
        <item>
            <title><![CDATA[Physiological Foundations for AI Training: Your Data as Prompt Context]]></title>
            <link>https://www.thefitfuturist.com/en/training-analysis/physiological-foundations-ai-training/</link>
            <guid isPermaLink="false">https://www.thefitfuturist.com/en/training-analysis/physiological-foundations-ai-training/</guid>
            <dc:creator><![CDATA[Christopher Klenk]]></dc:creator>
            <pubDate>Tue, 07 Apr 2026 22:56:11 GMT</pubDate>
        </item>
        <item>
            <title><![CDATA[AI Training Plans Under the Microscope: When Experts Disagree]]></title>
            <description><![CDATA[You've asked AI for a training plan — or at least thought about it. The real question isn't whether it works, but how you can tell if the result is any good. A new study delivers an uncomfortable finding: even experts barely agree on that.]]></description>
            <link>https://www.thefitfuturist.com/en/news/ai-training-plans-expert-evaluation-study/</link>
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            <category><![CDATA[News]]></category>
            <dc:creator><![CDATA[Christopher Klenk]]></dc:creator>
            <pubDate>Mon, 30 Mar 2026 22:45:21 GMT</pubDate>
        </item>
        <item>
            <title><![CDATA[This system learns from your training data — and doesn't need you as a test subject]]></title>
            <description><![CDATA[You look at your watch in the morning, see a low HRV and ask yourself: easy day or push through anyway? A new study shows how a system that learns by trial and error — no rulebook, no chatbot — takes exactly this decision. It gets your training data, simulates how you as a person respond to different loads, and […]]]></description>
            <link>https://www.thefitfuturist.com/en/news/reinforcement-learning-training-load-digital-twin/</link>
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            <category><![CDATA[News]]></category>
            <dc:creator><![CDATA[Christopher Klenk]]></dc:creator>
            <pubDate>Thu, 26 Mar 2026 13:02:50 GMT</pubDate>
        </item>
        <item>
            <title><![CDATA[The Claude Training Plan Skill: how Claude builds plans that actually fit you]]></title>
            <link>https://www.thefitfuturist.com/en/training-analysis/claude-training-plan-skill/</link>
            <guid isPermaLink="false">https://www.thefitfuturist.com/en/training-analysis/claude-training-plan-skill/</guid>
            <dc:creator><![CDATA[Christopher Klenk]]></dc:creator>
            <pubDate>Mon, 23 Mar 2026 20:38:53 GMT</pubDate>
        </item>
        <item>
            <title><![CDATA[Study Check: No AI Chatbot Needed – Tests & Machine Learning Build Your Training Plan]]></title>
            <description><![CDATA[Runners run. Gym-goers bench. Almost nobody trains their actual weak point – because almost nobody knows where it is. Chinese researchers have now published a machine-learning model in Scientific Reports that detects exactly that and builds a training plan around it. With real data, a randomised trial – and a few gaps you should know about.]]></description>
            <link>https://www.thefitfuturist.com/en/news/machine-learning-training-plan-without-ai-study/</link>
            <guid isPermaLink="false">https://www.thefitfuturist.com/en/news/machine-learning-training-plan-without-ai-study/</guid>
            <category><![CDATA[News]]></category>
            <dc:creator><![CDATA[Christopher Klenk]]></dc:creator>
            <pubDate>Thu, 19 Mar 2026 20:00:38 GMT</pubDate>
        </item>
        <item>
            <title><![CDATA[Create Your Own AI Nutrition Plan: Using ChatGPT, Claude and Gemini the Right Way]]></title>
            <link>https://www.thefitfuturist.com/en/training-analysis/create-ai-nutrition-plan/</link>
            <guid isPermaLink="false">https://www.thefitfuturist.com/en/training-analysis/create-ai-nutrition-plan/</guid>
            <dc:creator><![CDATA[Christopher Klenk]]></dc:creator>
            <pubDate>Sun, 15 Mar 2026 20:48:50 GMT</pubDate>
        </item>
        <item>
            <title><![CDATA[Coaches detect velocity loss without a device – what a new Bar Strategy study shows]]></title>
            <description><![CDATA[Coaches who watch the barbell instead of the athlete detect velocity loss in strength training far more accurately – and it can be trained. A new study shows: after a short intervention, the error drops to an average of 1.5 reps. That's good enough to apply VBT principles meaningfully even without a sensor.]]></description>
            <link>https://www.thefitfuturist.com/en/news/velocity-loss-detection-bar-strategy-study/</link>
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            <category><![CDATA[News]]></category>
            <dc:creator><![CDATA[Christopher Klenk]]></dc:creator>
            <pubDate>Fri, 13 Mar 2026 12:05:58 GMT</pubDate>
        </item>
        <item>
            <title><![CDATA[AI measures heart rate from face video – researchers solve the motion problem]]></title>
            <description><![CDATA[Researchers have developed an AI model that measures your pulse via camera – and for the first time it works reliably when you are moving. No chest strap, no sports watch, no skin contact. Just a face video, an algorithm, a heart rate. Sounds like science fiction – but it is the state of research as of February 2026. The model is called HBP-Net, published in the journal iScience. What it can do, [...]]]></description>
            <link>https://www.thefitfuturist.com/en/news/ai-heart-rate-from-face-video-motion-problem-solved/</link>
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            <category><![CDATA[News]]></category>
            <dc:creator><![CDATA[Christopher Klenk]]></dc:creator>
            <pubDate>Wed, 11 Mar 2026 10:57:00 GMT</pubDate>
        </item>
        <item>
            <title><![CDATA[More training, worse sleep, even more training – what 224 Garmin runners reveal]]></title>
            <description><![CDATA[High training volume worsens sleep quality – and too little sleep slows down the next session. That is what a year-long study of 224 Chinese Garmin runners shows. The finding is plausible and well supported. The caveat: Garmin is not the most accurate wearable on the market when it comes to sleep stage detection – and that hits the core of the study.]]></description>
            <link>https://www.thefitfuturist.com/en/news/sleep-training-interaction-runners-study/</link>
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            <category><![CDATA[News]]></category>
            <dc:creator><![CDATA[Christopher Klenk]]></dc:creator>
            <pubDate>Tue, 10 Mar 2026 11:39:19 GMT</pubDate>
        </item>
        <item>
            <title><![CDATA[AI Training Data: What LLMs Really Know About Fitness & Training]]></title>
            <link>https://www.thefitfuturist.com/en/training-analysis/ai-training-data-sources/</link>
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            <dc:creator><![CDATA[Christopher Klenk]]></dc:creator>
            <pubDate>Sun, 08 Mar 2026 11:16:00 GMT</pubDate>
        </item>
        <item>
            <title><![CDATA[Study: fatigue markers in football — and what to do with them]]></title>
            <description><![CDATA[Trying to predict fatigue from a single metric misses more often than you would think. Researchers followed 48 college football players for twelve weeks with GPS trackers, heart rate monitors and daily wellness questionnaires — and trained a machine learning model on the combined data that detects fatigue with an AUC of 0.895. Individual indicators come nowhere close. This is a […]]]></description>
            <link>https://www.thefitfuturist.com/en/news/ai-fatigue-prediction-multi-sensor-football/</link>
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            <category><![CDATA[News]]></category>
            <dc:creator><![CDATA[Christopher Klenk]]></dc:creator>
            <pubDate>Sat, 07 Mar 2026 10:33:27 GMT</pubDate>
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            <title><![CDATA[AI Training Plan Check: 7 Warning Signs It Does Not Fit]]></title>
            <link>https://www.thefitfuturist.com/en/training-analysis/ai-training-plan-limits/</link>
            <guid isPermaLink="false">https://www.thefitfuturist.com/en/training-analysis/ai-training-plan-limits/</guid>
            <dc:creator><![CDATA[Christopher Klenk]]></dc:creator>
            <pubDate>Fri, 06 Mar 2026 23:51:52 GMT</pubDate>
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            <title><![CDATA[Smartphone spots form errors – and beginners stick with it]]></title>
            <description><![CDATA[Training on your own comes with a familiar problem: you can't see yourself. Is your back rounding on the deadlift? Are your knees caving in on the squat? Without a mirror, a training partner or a coach, you're flying blind – and in the worst case you grind in mistakes you only notice once they start to hurt. A South Korean research team has [&hellip;]]]></description>
            <link>https://www.thefitfuturist.com/en/news/ai-movement-recognition-smartphone-study/</link>
            <guid isPermaLink="false">https://www.thefitfuturist.com/en/news/ai-movement-recognition-smartphone-study/</guid>
            <category><![CDATA[News]]></category>
            <dc:creator><![CDATA[Christopher Klenk]]></dc:creator>
            <pubDate>Sun, 01 Mar 2026 23:57:41 GMT</pubDate>
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            <title><![CDATA[188 studies, one verdict: Good data – but no AI coach]]></title>
            <description><![CDATA[A Spanish research team has reviewed the current state of wearable biosensors and machine learning systems in sports training in a comprehensive overview – 188 studies from 16 years of research. The conclusion is sober: the technology delivers usable data and ML models can support training adjustments – but autonomous coaching? We are a long way from that. TL;DR A new review study (188 studies, [&hellip;]]]></description>
            <link>https://www.thefitfuturist.com/en/news/wearables-ai-training-review-study/</link>
            <guid isPermaLink="false">https://www.thefitfuturist.com/en/news/wearables-ai-training-review-study/</guid>
            <category><![CDATA[News]]></category>
            <dc:creator><![CDATA[Christopher Klenk]]></dc:creator>
            <pubDate>Fri, 27 Feb 2026 22:35:12 GMT</pubDate>
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            <title><![CDATA[Fort Wearable: Automatic Strength Training Tracking Incl. VBT Data – What's Behind It?]]></title>
            <description><![CDATA[A new wearable aims to track strength training as precisely as Garmin tracks running. Fort, developed by three former Tesla engineers and part of the Y Combinator W26 batch, automatically recognises more than 50 exercises, counts reps, tracks rest times and delivers muscle-specific breakdowns – without manual logging. Sounds like the wearable lifters have been waiting for. But between marketing promises and reality there's often a whole set of reps.]]></description>
            <link>https://www.thefitfuturist.com/en/news/fort-wearable-strength-training-tracker/</link>
            <guid isPermaLink="false">https://www.thefitfuturist.com/en/news/fort-wearable-strength-training-tracker/</guid>
            <category><![CDATA[News]]></category>
            <dc:creator><![CDATA[Christopher Klenk]]></dc:creator>
            <pubDate>Mon, 23 Feb 2026 18:01:32 GMT</pubDate>
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            <title><![CDATA[Study tests AI marathon training plans — but how good was the test itself?]]></title>
            <description><![CDATA[A new study in the British Medical Bulletin looked at whether current AI models can generate usable marathon training plans. The researchers had Claude, ChatGPT, Gemini and DeepSeek each build a six-month plan for three performance levels. The result: broadly solid plans with familiar weaknesses. Things get interesting when you look at what the abstract reveals about the methodology — and […]]]></description>
            <link>https://www.thefitfuturist.com/en/news/ai-marathon-training-plan-study/</link>
            <guid isPermaLink="false">https://www.thefitfuturist.com/en/news/ai-marathon-training-plan-study/</guid>
            <category><![CDATA[News]]></category>
            <dc:creator><![CDATA[Christopher Klenk]]></dc:creator>
            <pubDate>Sun, 22 Feb 2026 10:38:29 GMT</pubDate>
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            <title><![CDATA[Steering deadlift intensity without a 1RM test – new study shows how accurate it gets]]></title>
            <description><![CDATA[A load-velocity profile built from a few submaximal sets can estimate high training intensities in the deadlift with an error of roughly 4 %. That is what a recent study in the Journal of Sports Science and Medicine (Li et al., 2026) shows. For intensities around 80–90 % of 1RM the accuracy is acceptable – without you ever having to push a maximum rep.]]></description>
            <link>https://www.thefitfuturist.com/en/news/deadlift-load-velocity-profile-study/</link>
            <guid isPermaLink="false">https://www.thefitfuturist.com/en/news/deadlift-load-velocity-profile-study/</guid>
            <category><![CDATA[News]]></category>
            <dc:creator><![CDATA[Christopher Klenk]]></dc:creator>
            <pubDate>Fri, 20 Feb 2026 18:07:32 GMT</pubDate>
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            <title><![CDATA[Spotting back pain type from video – what specialists used to do, AI now does in seconds]]></title>
            <description><![CDATA[Classifying movement patterns in back pain – that's what specialist physiotherapists have done for years. Through observation, testing, assessment. It takes time, costs money, and two specialists don't always reach the same conclusion. The BackTracker study (Liu et al., 2026) now shows: a neural network, trained on one expert's classifications, does the same job from a simple video […]]]></description>
            <link>https://www.thefitfuturist.com/en/news/backtracker-ai-back-pain-movement-analysis/</link>
            <guid isPermaLink="false">https://www.thefitfuturist.com/en/news/backtracker-ai-back-pain-movement-analysis/</guid>
            <category><![CDATA[News]]></category>
            <dc:creator><![CDATA[Christopher Klenk]]></dc:creator>
            <pubDate>Tue, 17 Feb 2026 06:41:00 GMT</pubDate>
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            <title><![CDATA[Velocity-Based Training beats tempo training — but not the way you think]]></title>
            <description><![CDATA[Velocity-based training (VBT) — steering your sets by barbell velocity instead of fixed tempo cues — delivers more training volume on the bench press than tempo training. And without cutting time under tension. That is what a recent study in Sports Health (Fitas et al., 2026) shows, co-authored by Brad Schoenfeld — […]]]></description>
            <link>https://www.thefitfuturist.com/en/news/vbt-vs-tempo-training-study/</link>
            <guid isPermaLink="false">https://www.thefitfuturist.com/en/news/vbt-vs-tempo-training-study/</guid>
            <category><![CDATA[News]]></category>
            <dc:creator><![CDATA[Christopher Klenk]]></dc:creator>
            <pubDate>Sun, 15 Feb 2026 06:36:00 GMT</pubDate>
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            <title><![CDATA[Study confirms: detailed prompts make ChatGPT training plans better – but not perfect]]></title>
            <description><![CDATA[If you want to coax a training plan out of ChatGPT, you face a basic question: how much information do you need to put in to get something usable out? A new study from sports science now delivers hard numbers – and in doing so confirms a problem many users underestimate.]]></description>
            <link>https://www.thefitfuturist.com/en/news/prompt-quality-chatgpt-training-plans-study/</link>
            <guid isPermaLink="false">https://www.thefitfuturist.com/en/news/prompt-quality-chatgpt-training-plans-study/</guid>
            <category><![CDATA[News]]></category>
            <dc:creator><![CDATA[Christopher Klenk]]></dc:creator>
            <pubDate>Thu, 12 Feb 2026 23:51:22 GMT</pubDate>
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            <title><![CDATA[FDA eases wearable rules: Oura lobbies, sensors err — stay sceptical]]></title>
            <description><![CDATA[The US Food and Drug Administration (FDA) updated its "General Wellness Policy for Low Risk Devices" on 6 January 2026. Wearables like the Oura Ring, Apple Watch, or devices from Garmin and Polar are now allowed to do more without being classified as medical devices. Oura is celebrating it as a breakthrough. The uncomfortable truth: the easing has less to do with consumer protection than [&hellip;]]]></description>
            <link>https://www.thefitfuturist.com/en/news/fda-wellness-wearables-oura-classification/</link>
            <guid isPermaLink="false">https://www.thefitfuturist.com/en/news/fda-wellness-wearables-oura-classification/</guid>
            <category><![CDATA[News]]></category>
            <dc:creator><![CDATA[Christopher Klenk]]></dc:creator>
            <pubDate>Wed, 11 Feb 2026 23:07:12 GMT</pubDate>
        </item>
        <item>
            <title><![CDATA[Fitness App Data Privacy & AI: GDPR Guide]]></title>
            <link>https://www.thefitfuturist.com/en/training-analysis/fitness-app-data-privacy/</link>
            <guid isPermaLink="false">https://www.thefitfuturist.com/en/training-analysis/fitness-app-data-privacy/</guid>
            <dc:creator><![CDATA[Christopher Klenk]]></dc:creator>
            <pubDate>Wed, 11 Feb 2026 08:43:32 GMT</pubDate>
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        <item>
            <title><![CDATA[Create an AI Training Plan Yourself: Using ChatGPT, Claude and Gemini Properly]]></title>
            <description><![CDATA[Creating an AI training plan takes five minutes - creating one that actually fits you is a different exercise. A step-by-step guide with prompt templates to copy, for ChatGPT, Claude, Gemini and any other model.]]></description>
            <link>https://www.thefitfuturist.com/en/training-analysis/create-training-plan-with-ai/</link>
            <guid isPermaLink="false">https://www.thefitfuturist.com/en/training-analysis/create-training-plan-with-ai/</guid>
            <dc:creator><![CDATA[Christopher Klenk]]></dc:creator>
            <pubDate>Wed, 11 Feb 2026 08:42:41 GMT</pubDate>
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        <item>
            <title><![CDATA[Fitness App AI vs. ChatGPT, Gemini & Co: Two Routes to a Training Plan]]></title>
            <link>https://www.thefitfuturist.com/en/training-analysis/fitness-app-ai-vs-llm/</link>
            <guid isPermaLink="false">https://www.thefitfuturist.com/en/training-analysis/fitness-app-ai-vs-llm/</guid>
            <dc:creator><![CDATA[Christopher Klenk]]></dc:creator>
            <pubDate>Wed, 11 Feb 2026 08:42:24 GMT</pubDate>
        </item>
        <item>
            <title><![CDATA[Artificial Intelligence in Fitness: What Exists — and What Actually Works]]></title>
            <link>https://www.thefitfuturist.com/en/training-analysis/ai-in-fitness/</link>
            <guid isPermaLink="false">https://www.thefitfuturist.com/en/training-analysis/ai-in-fitness/</guid>
            <dc:creator><![CDATA[Christopher Klenk]]></dc:creator>
            <pubDate>Wed, 11 Feb 2026 08:41:09 GMT</pubDate>
        </item>
        <item>
            <title><![CDATA[Christopher Klenk — Coach & AI Practitioner | Fitness × AI]]></title>
            <link>https://www.thefitfuturist.com/en/about/christopher-klenk/</link>
            <guid isPermaLink="false">https://www.thefitfuturist.com/en/about/christopher-klenk/</guid>
            <dc:creator><![CDATA[Christopher Klenk]]></dc:creator>
            <pubDate>Wed, 11 Feb 2026 08:40:15 GMT</pubDate>
        </item>
        <item>
            <title><![CDATA[Apple scales back its AI health coach — and that is instructive]]></title>
            <description><![CDATA[Apple has scaled back its internal project "Mulberry" for an AI-based health coach over recent weeks. The service — internally nicknamed "Health+" by some Apple employees — will not ship as a standalone product. Instead, individual features are set to roll into the existing Health app step by step. That is according to Bloomberg journalist Mark Gurman. The news sounds like a footnote in Apple's product strategy. […]]]></description>
            <link>https://www.thefitfuturist.com/en/news/apple-ai-health-coach-scaled-back/</link>
            <guid isPermaLink="false">https://www.thefitfuturist.com/en/news/apple-ai-health-coach-scaled-back/</guid>
            <category><![CDATA[News]]></category>
            <dc:creator><![CDATA[Christopher Klenk]]></dc:creator>
            <pubDate>Wed, 11 Feb 2026 08:39:37 GMT</pubDate>
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