Continuous Care That Never Misses a Beat: StrongBody AI Tracks Your Metrics and Reminds Experts to Update Plans Weekly.

February 6, 2026 In Uncategorized

Emily Carter, a 35-year-old software developer from Seattle, Washington, stepped out of her cozy two-bedroom apartment in the Capitol Hill neighborhood on a foggy May morning in 2025, her reusable coffee mug in hand as she headed to her office at a tech startup specializing in cloud solutions, where she managed a team of eight engineers working on projects worth over $2 million annually. She had been dealing with fluctuating energy levels that dipped to lows of 40% by midday, tracked roughly on her phone app, often leading to skipped lunches and reliance on energy drinks containing 150mg of caffeine each, which only exacerbated her irregular sleep patterns averaging 6 hours per night. Emily lived with her partner Alex, a graphic designer, and their rescue dog Luna, a energetic Labrador mix who required daily walks of at least 2 miles to stay calm. That morning, after walking Luna around Volunteer Park, where cherry blossoms were still lingering from spring, Emily felt a familiar drag in her steps, her smartwatch showing a heart rate of 85 bpm at rest, up from her usual 70, signaling the buildup of stress from looming deadlines on a new API integration that had already delayed twice, costing the team 20 extra hours the previous week.

She pulled out her phone during the 15-minute bus ride downtown, remembering a podcast episode from the day before about proactive health platforms, and typed “https://strongbody.ai” into her browser, the site loading with its intuitive layout connecting users worldwide to experts in health and wellness. Emily clicked “Sign Up” in the top right, entering her email, emily.carter@seattletech.com, and a password, “SeattleWell2025”. An OTP code, 374829, pinged her inbox instantly, and she confirmed it in seconds, the process seamless and under a minute. The platform then guided her to select interests from groups like Wellness Daily and Fitness & Movement, where she chose “Energy & Performance Coach,” “Quality Sleep Coach,” “Daily Nutrition Coach,” and “Stress Management Coach,” reflecting her goals to boost daily vitality from current dips to consistent 80% levels, improve sleep to 7.5 hours, and balance nutrition beyond her average 1,800 calories with 40% from processed snacks.

In the background, StrongBody AI’s smart-matching system analyzed her choices, cross-referencing with her profile including her Pacific Northwest location and inferred needs from selections indicating fatigue and stress common among tech professionals averaging 50-hour weeks. It scanned hundreds of thousands of verified experts, each with credentials like certifications from the International Coach Federation and average client improvements of 25% in targeted metrics. For Emily, it assembled a Personal Care Team: Coach Jordan Hayes, a certified performance coach from Denver with 10 years experience, having boosted energy in 450 clients by 35% through customized plans; Sleep Specialist Dr. Mia Lopez, a psychologist from San Francisco with a PhD in sleep medicine, helping 300 patients increase sleep duration by 1.5 hours on average; Nutritionist Ryan Patel, a registered dietitian in Chicago with 8 years focusing on busy lifestyles, aiding 400 individuals to shift 50% of meals to whole foods; and Stress Coach Sophia Reed, a licensed therapist from New York with expertise in mindfulness, reducing anxiety scores by 40% in 500 sessions.

The matching finalized in two minutes, with scores like 93% for Coach Hayes based on her energy focus and his data-driven tracking methods. Emily’s dashboard updated, displaying her team with profiles showing real photos—Coach Hayes in a home gym with resistance bands, his bio detailing plans involving weekly metric reviews. She messaged Coach Hayes via B-Messenger: “Hi Jordan, I’m Emily in Seattle. My energy crashes midday; aiming to sustain through 5 PM meetings.” He responded quickly: “Hello Emily, great start. Share your current daily routine—steps, meals, sleep logs from your watch. We’ll track weekly and adjust.” Emily uploaded a screenshot of her watch data: 7,500 steps average, sleep efficiency at 75%, and heart rate variability at 45 ms, low for her age group.

That evening, after a team dinner with Alex at a local Thai restaurant where she opted for pad see ew at 650 calories but felt bloated from the sodium, Emily joined her first virtual session with Dr. Lopez. From her living room couch, with Luna curled up nearby, she connected via the platform’s integrated video, Dr. Lopez appearing from her Bay Area office with soft lighting and a white noise machine in view. “Emily, your shared logs show fragmented sleep—three wake-ups per night averaging 20 minutes each,” Dr. Lopez said. “We’ll set a baseline: track via the app I recommend, aiming for 85% efficiency. Weekly, I’ll review and update your wind-down routine.” Emily nodded, “Sounds good. Last night was 5.8 hours.” Dr. Lopez: “Start with no screens after 9 PM; herbal tea instead. My clients see 20% improvement in week one.” Emily implemented it, dimming lights in their apartment overlooking the Puget Sound, reading a novel for 30 minutes, her watch later showing 6.5 hours slept.

The next day at work, during a stand-up meeting where her team discussed the API delays now resolved with a new framework reducing load times by 30%, Emily felt a slight uptick in focus. Ryan Patel messaged: “Emily, based on your initial food log—breakfast bagel at 400 calories, lunch salad at 500—let’s optimize. Share weekly intakes; I’ll alert on imbalances.” She replied with photos of her meals: yogurt parfait with granola at 350 calories, but high in sugar at 25g. Ryan: “Swap to Greek yogurt with berries—drops sugar to 10g, sustains energy. We’ll review Sundays.” Emily adjusted her grocery list, shopping at the Pike Place Market for fresh produce, incorporating blueberries and spinach into her routine, her daily calorie balance shifting to 2,000 with 50% from nutrients.

As the week progressed, Sophia Reed’s session kicked in. From Emily’s desk during lunch, Sophia connected: “Your stress indicators—heart rate at 85 bpm—suggest buildup. Log daily moods; I’ll send weekly alerts to tweak techniques.” Emily shared: “Yesterday’s deadline spiked it to 95.” Sophia: “Try box breathing: 4-4-4-4 counts. Clients drop rates by 15 bpm in sessions.” Emily practiced, her watch confirming a drop to 78 bpm after five minutes. Back home, Alex noticed: “You seem less tense.” Emily: “It’s this team—they track everything.”

By Sunday, StrongBody AI’s system, through the Personal Care Team framework, facilitated updates. Coach Hayes received an automated notification via B-Notification about Emily’s aggregated data: steps up to 8,200, energy self-reports at 55%. He messaged: “Emily, great progress on steps—up 9%. But energy dips at 3 PM. Updating plan: add a 10-minute walk post-lunch. Review next week.” Emily confirmed, incorporating the walk around her office block in downtown Seattle, passing coffee shops bustling with 200 patrons, her energy sustaining to 70% by afternoon, enabling her to lead a brainstorming session that generated three new ideas for the project, increasing team efficiency by 15%.

Dr. Lopez’s update came similarly: a B-Notification flagged her sleep logs showing 6.8 hours average, efficiency at 80%. “Emily, solid gains—up 0.8 hours. Alert: Friday dip due to late email check. Revise to phone in another room; 90% of clients hit 7 hours this way.” Emily moved her charging station to the kitchen, away from the bedroom with its queen-sized bed and ocean-view window, resulting in uninterrupted sleep, her watch data hitting 7.2 hours by mid-next week, waking her refreshed for Luna’s morning walk, where she covered 2.5 miles without fatigue.

Ryan’s nutrition alert highlighted: weekly intake with protein at 80g daily, but veggies only 2 servings. “Updating meal plan: add kale salad lunches—boosts to 4 servings, as seen in 70% client fiber increases of 20g.” Emily prepared it at home, chopping vegetables while Alex designed a logo for a client, the meal at 450 calories providing sustained satiety, her blood sugar logs (self-tracked) stabilizing from spikes of 140 mg/dL to 110, reducing afternoon crashes.

Sophia’s stress review: moods logged via shared journal showed anxiety at 6/10 midweek. “Alert: Pattern from deadlines. Add daily journaling; drops scores by 2 points in 80% cases.” Emily journaled in the evenings, reflecting on wins like resolving a code bug that saved 10 hours, her anxiety dipping to 4/10, allowing quality time with Alex, watching a movie without distractions, their relationship satisfaction up from 7/10 to 8.5/10 in her notes.

Into the second week, the continuous monitoring shone. During a rainy Tuesday, Emily’s watch synced data showing heart rate at 82 bpm average, steps at 7,900. The system’s AI, embedded in the matching and notification tools, prompted team coordination. Coach Hayes messaged the group in B-Messenger: “Team, Emily’s energy at 65%—suggest integrating Sophia’s breathing with my walks.” Sophia: “Agreed—combine for compound effects.” They updated her plan collectively: weekly synced reviews, with Emily receiving a consolidated alert Sunday evenings.

Emily felt the difference at work—during a presentation to 15 stakeholders on the API, her focus held steady, questions handled crisply, leading to approval and a $500,000 budget extension. Home life improved: walks with Luna extended to 3 miles, Alex joining twice weekly, their conversations deepening about future plans like a trip to the Olympic Peninsula, 100 miles away.

By week three, metrics accumulated: sleep at 7.4 hours, efficiency 88%; energy self-reports at 75%; stress at 3/10; nutrition balance with 60% whole foods. Dr. Lopez’s update: “Emily, trends show 25% improvement—alert: maintain with consistent routines.” Ryan: “Protein up to 100g; veggies at 5 servings—client averages see 15% weight stability.” Sophia: “Moods stable; journaling key.” Coach Hayes: “Steps at 9,000—energy at 80%; add light weights twice weekly for 20% boost.”

One Friday, after debugging a server issue that affected 500 users, resolved in 4 hours instead of 8 due to her sharpened focus, Emily received a broadcast notification from StrongBody AI: “Weekly team sync: Review progress and adjust.” She joined a group video, the team discussing: Hayes, “Emily’s data integrates well—propose app for real-time tracking.” Lopez: “Link sleep to energy; alerts if below 7 hours.” They refined: personalized alerts via B-Notor for deviations, like if steps drop below 8,000, prompting Hayes to message.

Emily’s life transformed multifaceted: professionally, project completion 20% ahead, earning a $3,000 bonus; personally, energy for hobbies like hiking Mount Si, 4 miles up with 3,000 ft elevation, completed in 3 hours without exhaustion; family-wise, Alex reported: “You’re more engaged,” during dinners now featuring Ryan’s recipes like grilled salmon at 500 calories, fostering intimacy with weekly date nights.

When a colleague, Sarah from marketing, complained of similar fatigue during a coffee break—her energy at 50%, sleep 5 hours—Emily shared: “StrongBody AI tracks everything, updates plans weekly.” Sarah signed up, her team matching in minutes, initial metrics showing quick 15% gains.

By month two, Emily’s dashboard—implicit in the account management with tracked interactions—reflected sustained results: heart rate at 72 bpm, sleep 7.6 hours, energy 85%, stress 2/10. Alerts kept the loop: a midweek dip in nutrition prompted Ryan’s message: “Emily, logs show skipped veggies—update with quick smoothies.” She blended one with spinach and banana at 300 calories, restoring balance.

During a family visit to her parents in Portland, Oregon, a 3-hour drive, Emily maintained routines, her team alerting: Hayes, “Travel day—short walks at stops.” She stopped at a rest area, walking 1 mile, keeping steps at 8,500. Back in Seattle, Luna’s vet check showed her healthier from longer walks, weight stable at 65 lbs.

Emily expanded her team, adding a “Mindfulness Coach” via request, receiving offers: one at $100 weekly with meditation apps, integrated tracking boosting her sessions from 10 to 20 minutes, mindfulness scores up 30%. Costs at $600 monthly for six sessions yielded returns: reduced sick days from two to zero quarterly, productivity up 25% in code output, family harmony with conflicts down 50% to one monthly.

Reflecting on a sunny June evening at Gas Works Park, overlooking Lake Union with 500 picnickers around, Emily marveled at the continuous care. No forgotten check-ins; weekly updates optimized everything. When Alex suggested a half-marathon, her team adjusted: Hayes updated training to 4 runs weekly, building to 10 miles; Lopez ensured recovery sleep; Ryan fueled with carb plans at 2,200 calories. She completed a 5K practice in 28 minutes, pace improving 10%.

The system’s notifications and team coordination became her backbone, ensuring proactive adjustments. For instance, a stress spike to 5/10 from a promotion interview prompted Sophia’s alert: “Breathe and visualize—clients ace 80% of such events.” Emily nailed it, securing a $10,000 raise.

As summer peaked, Emily’s story inspired her network: three friends joined, each experiencing tracked progress with 20-30% metric improvements. StrongBody AI’s framework delivered uninterrupted optimization, turning her health from sporadic to sustained excellence across physical, mental, and relational dimensions.<|control12|>Emily Carter, a 35-year-old software developer from Seattle, Washington, glanced at her smartwatch on a crisp June morning in 2025, noting her heart rate steady at 72 beats per minute during her 2.5-mile walk with her Labrador mix, Luna, around the paths of Volunteer Park, where joggers numbering around 50 passed by under the canopy of evergreens. She had started her day with a Greek yogurt parfait topped with fresh blueberries and almonds, totaling 350 calories and providing 20 grams of protein, a meal that sustained her energy through the first half of her 9 AM team meeting at the tech startup downtown, where she led eight engineers on a cloud integration project valued at $2.5 million. Emily lived in a modern two-bedroom apartment in Capitol Hill with her partner Alex, a graphic designer whose freelance work often kept him at his desk until 8 PM, and together they managed a routine that included weekend hikes in the Cascade Mountains, covering 5 miles on average with elevations up to 1,500 feet. That morning, as she boarded the bus for her 15-minute commute, her phone buzzed with a notification from StrongBody AI, the platform she had joined two months earlier at https://strongbody.ai, reminding her to log her overnight sleep data—7.6 hours with 88% efficiency—which the system would share with her Personal Care Team for their weekly review.

She opened the app on her phone, the dashboard seamlessly displaying her progress charts: a line graph showing her daily steps climbing from an initial 7,500 to 9,200 over the past week, bar charts for nutrition intake with protein at 95 grams average and vegetables at five servings, and a mood tracker indicating stress levels at a low 2 out of 10. Emily had signed up by clicking the “Sign Up” button, entering her email emily.carter@seattletech.com and password “SeattleWell2025”, confirming with the OTP 374829 that arrived in seconds, and selecting interests like “Energy & Performance Coach” and “Quality Sleep Coach” from the Wellness Daily group, all in under three minutes. The smart-matching algorithm had assembled her team: Coach Jordan Hayes from Denver, with 10 years boosting client energy by 35% through data-tracked plans for 450 individuals; Dr. Mia Lopez, a San Francisco sleep specialist whose methods increased sleep by 1.5 hours for 300 patients; Nutritionist Ryan Patel from Chicago, shifting diets to 60% whole foods for 400 busy professionals; and Stress Coach Sophia Reed from New York, reducing anxiety by 40% in 500 sessions via mindfulness logs.

During her bus ride, Emily uploaded her latest watch data via the platform’s integration, showing heart rate variability at 55 milliseconds, up from 45 the previous month, a metric her team used to gauge recovery. Coach Hayes, receiving the automated B-Notification alert about the upload, messaged her through B-Messenger: “Emily, your steps hit 9,200 yesterday—excellent, up 8% from last week. Energy logs show sustained 80% through afternoons. For this week’s update, add resistance bands to your evening routine: three sets of 12 squats, building on your current 20-minute walks to target a 15% strength gain, as seen in 80% of my clients with similar profiles.” Emily replied while stepping off the bus: “Thanks, Jordan. I’ll start tonight after walking Luna.” She felt reassured, knowing the system’s continuous monitoring meant no overlooked dips; last week, when her steps dropped to 8,000 due to a rainy day confining her to indoor pacing in the apartment’s 1,200 square feet, an AI-prompted alert had nudged Hayes to suggest quick stair climbs in her building’s five flights, restoring her average without her needing to flag it.

At the office, amid the hum of 20 colleagues typing away on ergonomic keyboards in the open-plan space overlooking Elliott Bay, Emily joined a virtual check-in with Dr. Lopez. The doctor, appearing on screen from her clinic with a backdrop of calming ocean prints, reviewed the shared sleep logs: “Emily, your efficiency reached 88% this week, with only one wakeup lasting 10 minutes—down from three at 20 minutes each initially. The no-screen rule after 9 PM is paying off; 90% of my patients maintain this for long-term gains. For the update, incorporate a 5-minute guided meditation app before bed to push toward 90% efficiency, targeting 7.8 hours total, which has helped 75% of tech workers like you reduce morning grogginess by 25%.” Emily nodded, recalling how last month’s dip to 6.8 hours from a late-night code review had triggered an alert, prompting Lopez to adjust her wind-down with chamomile tea, resulting in immediate rebound. She implemented the meditation that night, lying on her queen bed with Alex sketching nearby, her watch confirming 7.7 hours slept, waking her alert for Luna’s walk where she noticed easier breathing on the park’s slight inclines.

Midday, as Emily tackled a bug in the project’s API that affected 300 simulated users, reducing response times from 500ms to 200ms after her fix, Ryan Patel’s message arrived: “Weekly nutrition review: protein steady at 95g, but fiber dipped to 22g on Wednesday from that takeout burger at 600 calories. Alert suggests swapping to quinoa bowls with veggies—bumps fiber to 30g, stabilizing blood sugar as in 70% of my clients, preventing those 3 PM slumps.” Emily had shared her meal photos earlier: breakfast smoothie at 300 calories with spinach and banana, lunch salad at 450 with grilled chicken. She adjusted, preparing the bowl in the office kitchen amid five coworkers chatting about weekend plans, feeling fullness last until her 4 PM meeting where she contributed ideas that streamlined the next phase, saving the team 15 hours collectively.

Sophia Reed’s update followed in the afternoon: “Emily, mood logs show stress at 2/10, with journaling entries highlighting work wins like that bug fix. The box breathing during breaks dropped your heart rate by 12 bpm on average. For this week, add a gratitude list end-of-day; 85% of professionals report 30% better resilience.” Emily practiced during a quick break, inhaling for four counts while staring at the bay’s ferries carrying 100 passengers each, her rate settling at 70 bpm, enabling her to handle an unexpected client call about scaling the project to $3 million without tension spiking.

That evening, back in the apartment with aromas of salmon—500 calories, per Ryan’s plan—wafting from the kitchen where Alex cooked, Emily received a consolidated B-Notification: “Team sync complete. Progress: energy 82%, sleep 7.7 hours, nutrition balance 65%, stress 1.8/10. Updates applied—review in My Account.” She accessed her dashboard, seeing updated plans: Hayes’ band exercises with video links, Lopez’s meditation script, Patel’s grocery list for seven days including kale and quinoa at $50 total from the local market, Reed’s journal prompts. Alex commented over dinner: “You’re glowing—less snapping about deadlines.” Emily: “It’s the tracking; they catch everything weekly.”

Into July, the continuity amplified results. During a heatwave with temperatures at 85°F, Emily’s steps risked dropping, but an alert prompted Hayes: “Hydration check—logs show intake at 60oz; up to 80oz with walks in shade.” She complied, maintaining 9,000 steps on a park loop with 20 shaded benches, her energy holding at 85% for a weekend hike to Rattlesnake Ledge, 4 miles round trip with 1,200 feet elevation, completed in 2.5 hours without fatigue, Alex capturing photos of the view overlooking Issaquah’s 50,000 residents below.

When work intensified with a deadline pushing hours to 55, sleep dipped to 7.4 hours; Lopez’s alert: “Pattern detected—adjust with earlier bedtime.” Emily shifted, reading in bed by 10 PM, rebounding to 7.8 hours, her efficiency at 90%, fueling a presentation to 12 executives where she secured an additional $500,000 funding, her clarity earning praise for 20% improved delivery.

Nutrition-wise, a vacation to Portland, Oregon—a 3-hour drive visiting her parents in their suburban home with a backyard garden yielding 100 tomatoes annually—saw potential slip-ups, but Patel’s pre-trip update: “Portable snacks: nuts at 200 calories per pack; maintain veggies.” She packed accordingly, enjoying family barbecues at 600 calories balanced with salads, her fiber at 28g daily, preventing bloating that had marred past trips.

Stress peaked at 3/10 during the drive back amid traffic delaying them 45 minutes; Reed’s message: “Use breathing audio—clients drop spikes by 20%.” Emily played it via phone, arriving home calm, diving into a relaxed evening with Alex watching a series, their intimacy deepening with conversations about future home buying in a neighborhood with average prices at $800,000.

By August, cumulative metrics shone: heart rate variability at 60 ms, steps 9,500 average, sleep 7.9 hours with 92% efficiency, nutrition 70% whole foods, stress 1.5/10. The team’s weekly alerts ensured tweaks: when energy hovered at 80% from a cold reducing activity, Hayes updated to lighter yoga, 15 minutes daily, restoring to 85% in three days, allowing Emily to coach a junior engineer through a complex module, boosting team output by 18%.

Emily’s colleague, Mark from QA, noticed during a lunch break at the office cafeteria serving 150 meals daily: “You handle crunch time better.” She shared: “StrongBody AI—tracks metrics, updates plans weekly.” Mark joined, his team matching swiftly, initial alerts catching his sleep issues, leading to 20% gains in two weeks.

Home dynamics flourished: Luna’s vet visit showed weight at 62 lbs, down 3 from overfeeding, thanks to Emily’s consistent walks; Alex’s designs improved with her encouragement during low-stress evenings. Professionally, the project launched ahead, earning her a $4,000 bonus; personally, a 10K run in 55 minutes, pace down 5 from prior.

When Ethan, Alex’s nephew visiting from Tacoma, 30 miles south, sprained his ankle playing soccer in the park with 40 kids around, Emily used a Public Request for “Pediatric Sports Injury,” receiving offers integrated with tracking: one at $110 with rehab plans including weekly metric checks, aiding recovery in 12 days with no setbacks.

Costs at $650 monthly for seven sessions returned multifold: zero sick days versus two previously, productivity up 22% in commits, family time increased 15 hours weekly with outings like kayaking on Lake Union, paddling 3 miles amid 200 boats.

Reflecting at a sunset picnic in Gas Works Park with 300 attendees, Emily appreciated the unbroken chain: no forgotten aspects, weekly optimizations via alerts and updates turning her wellness into a dynamic, supported journey, yielding physical vitality with 10% body fat reduction, mental sharpness for innovative coding, and relational depth with Alex planning a September wedding for 50 guests.

As fall approached, a work promotion to senior developer with $15,000 raise came, attributed to her sustained performance. The system’s B-Notor broadcast: “Seasonal update—team ready for fall adjustments.” Emily’s team refined: Hayes for cooler-weather runs, Lopez for daylight savings sleep shifts, ensuring continuity.

Her network grew: four friends adopted, each reporting 25-35% metric uplifts. StrongBody AI’s monitoring became her silent guardian, optimizing outcomes through vigilant, weekly-tuned care, transforming daily life from fragmented to fluid excellence across all facets.

Detailed Guide To Create Buyer Account On StrongBody AI

To start, create a Buyer account on StrongBody AI. Guide: 1. Access website. 2. Click “Sign Up”. 3. Enter email, password. 4. Confirm OTP email. 5. Select interests (yoga, cardiology), system matching sends notifications. 6. Browse and transact. Register now for free initial consultation!

Overview of StrongBody AI

StrongBody AI is a platform connecting services and products in the fields of health, proactive health care, and mental health, operating at the official and sole address: https://strongbody.ai. The platform connects real doctors, real pharmacists, and real proactive health care experts (sellers) with users (buyers) worldwide, allowing sellers to provide remote/on-site consultations, online training, sell related products, post blogs to build credibility, and proactively contact potential customers via Active Message. Buyers can send requests, place orders, receive offers, and build personal care teams. The platform automatically matches based on expertise, supports payments via Stripe/Paypal (over 200 countries). With tens of millions of users from the US, UK, EU, Canada, and others, the platform generates thousands of daily requests, helping sellers reach high-income customers and buyers easily find suitable real experts.

Operating Model and Capabilities

Not a scheduling platform

StrongBody AI is where sellers receive requests from buyers, proactively send offers, conduct direct transactions via chat, offer acceptance, and payment. This pioneering feature provides initiative and maximum convenience for both sides, suitable for real-world health care transactions – something no other platform offers.

Not a medical tool / AI

StrongBody AI is a human connection platform, enabling users to connect with real, verified healthcare professionals who hold valid qualifications and proven professional experience from countries around the world.

All consultations and information exchanges take place directly between users and real human experts, via B-Messenger chat or third-party communication tools such as Telegram, Zoom, or phone calls.

StrongBody AI only facilitates connections, payment processing, and comparison tools; it does not interfere in consultation content, professional judgment, medical decisions, or service delivery. All healthcare-related discussions and decisions are made exclusively between users and real licensed professionals.

User Base

StrongBody AI serves tens of millions of members from the US, UK, EU, Canada, Australia, Vietnam, Brazil, India, and many other countries (including extended networks such as Ghana and Kenya). Tens of thousands of new users register daily in buyer and seller roles, forming a global network of real service providers and real users.

Secure Payments

The platform integrates Stripe and PayPal, supporting more than 50 currencies. StrongBody AI does not store card information; all payment data is securely handled by Stripe or PayPal with OTP verification. Sellers can withdraw funds (except currency conversion fees) within 30 minutes to their real bank accounts. Platform fees are 20% for sellers and 10% for buyers (clearly displayed in service pricing).

Limitations of Liability

StrongBody AI acts solely as an intermediary connection platform and does not participate in or take responsibility for consultation content, service or product quality, medical decisions, or agreements made between buyers and sellers.

All consultations, guidance, and healthcare-related decisions are carried out exclusively between buyers and real human professionals. StrongBody AI is not a medical provider and does not guarantee treatment outcomes.

Benefits

For sellers:
Access high-income global customers (US, EU, etc.), increase income without marketing or technical expertise, build a personal brand, monetize spare time, and contribute professional value to global community health as real experts serving real users.

For buyers:
Access a wide selection of reputable real professionals at reasonable costs, avoid long waiting times, easily find suitable experts, benefit from secure payments, and overcome language barriers.

AI Disclaimer

The term “AI” in StrongBody AI refers to the use of artificial intelligence technologies for platform optimization purposes only, including user matching, service recommendations, content support, language translation, and workflow automation.

StrongBody AI does not use artificial intelligence to provide medical diagnosis, medical advice, treatment decisions, or clinical judgment.

Artificial intelligence on the platform does not replace licensed healthcare professionals and does not participate in medical decision-making.
All healthcare-related consultations and decisions are made solely by real human professionals and users.