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Measured on six things

AI health tracker with eight named specialist coaches tha...

Speed

Mobile performance at 65/100 with LCP 6.4s is sluggish, but desktop hits 95/100. CLS is minimal at 0.023, showing stable layout despite heavy content.

Screenshots

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Wellness Project

About this app

Wellness Project is an AI-powered health tracker that goes beyond simple logging. It features eight distinct AI coaches—from hypertrophy coach Jamie to nutritionist Casey and longevity advisor Evelyn—each with a unique voice and deep expertise. The app syncs with Apple Health, Fitbit, Oura, and Google Health Connect, pulling in your steps, sleep, HRV, and workouts to provide personalized recommendations. You can log meals via text, photo, or even camera roll scanning, and the AI analyzes your trends over time, offering actionable insights like when to increase your bench press weight or how to optimize your sleep. It's free during early access and also integrates with ChatGPT, Claude, and other AIs via MCP, making it a versatile hub for health data. Whether you're into bodybuilding, running, or biohacking, Wellness Project offers a unique, data-driven approach to wellness that feels like having a team of specialists in your pocket.

Key features

1Eight AI coaches with distinct personalities and deep domain expertise
2MCP integration with ChatGPT, Claude, and other AI assistants
3Five meal-logging methods including photo and camera roll scanning
4Wearable sync with Apple Health, Fitbit, Oura, and Google Health Connect
5Fit Score dashboard with trends, challenges, and daily insights

Target customer profile

Drawn from the product itself, not from a survey.

Demographic

Fitness enthusiasts (18-45) who regularly workout and want personalized coaching

Pain points

Generic fitness apps don't understand their specific goals or progress; lack of expert guidance tailored to their data

Primary needs

Detailed workout logging, progressive overload tracking, and expert advice on training adjustments

Demographic

Biohackers and longevity seekers (25-55) interested in optimizing health markers and lifespan

Pain points

Scattered data across devices and apps; difficulty interpreting metrics like HRV and sleep trends

Primary needs

Centralized health data, AI analysis of longevity biomarkers, and experimental protocol suggestions

Demographic

Health-conscious individuals (30-60) who use wearables but want more actionable insights

Pain points

Wearable apps provide raw data but no clear guidance; tired of switching between multiple apps

Primary needs

A unified dashboard, automated meal logging, and clear daily recommendations based on AI

Scout Review

Written by AI from measured evidence, scored out of 100.

Wellness Project is an ambitious AI health tracker with a strong concept: eight specialized AI coaches, deep wearable integration, and MCP support for ChatGPT/Claude. The design is polished with a cohesive dark theme and distinct coach personalities. Security is solid with 12/13 headers, and desktop performance is excellent. However, mobile speed lags at 65/100, accessibility has minor issues, and the app is too early-stage to verify claims of 'five-star reviews' or long-term value. The free early-access model is smart for adoption, but the real test is whether users stick around after the honeymoon. It's a promising start with clear differentiation, but execution needs to catch up with ambition.

Measure by measure

Usability

Five meal-logging methods and extensive guides show thoughtful UX. But dual Google/Apple buttons create choice paralysis, and the dense homepage overwhelms first-time visitors.

Design

Polished dark-navy UI with teal accents and distinct coach avatars. Coherent branding from homepage to app, but cookie modal overlap and brown bars create visual confusion.

Speed

Mobile performance at 65/100 with LCP 6.4s is sluggish, but desktop hits 95/100. CLS is minimal at 0.023, showing stable layout despite heavy content.

Security

Strong baseline with HTTPS, HSTS, CSP, and DMARC all configured. Missing secure cookies is a minor gap. No SOC 2 or pen-test evidence found, but privacy policy is solid.

Accessibility

Lighthouse scores 91/100, but prohibited ARIA attributes and user-scalable=no block pinch zoom. No WCAG statement, though keyboard navigation appears functional.

Growth

Real problem with clear differentiation via 8 AI coaches and MCP integration. Early-stage with no traction signals, but the wedge is specific and the category has headroom.

Improvement areas

Mobile performance needs optimization (LCP 6.4s on mobile)
Accessibility issues: prohibited ARIA attributes and user-scalable=no
Cookie consent modal overlaps hero content on homepage
Lack of SOC 2 or pen-test evidence for health data handling

Design & Usability

Wellness Project nails a cohesive dark-navy aesthetic with teal accents that carry from the landing page into the app. The eight coach avatars are distinct and give personality to the 'specialist' claim. However, the homepage is dense — the cookie modal overlaps the hero, and the brown bars for Recovery/Train/Fuel read as negative next to green ones. Usability is thoughtful with five meal-logging methods and a comprehensive guides section, but the dual Google/Apple sign-in buttons create choice paralysis at the first interaction. The app's information hierarchy is solid once you're in, with large scores and collapsible breakdowns, but the onboarding flow could be smoother.

Speed & Security

Performance is a mixed bag: desktop scores a strong 95/100 on Lighthouse, but mobile lags at 65/100 with a 6.4-second LCP — a real issue for a fitness app used on the go. CLS is minimal, so the layout stays stable. Security is a bright spot: HTTPS, HSTS, CSP, and DMARC are all configured, hitting 12/13 checklist points. The missing secure cookies is a minor gap, and there's no SOC 2 or pen-test evidence, but the privacy policy is transparent about data export and deletion. For a health app handling sensitive data, the baseline is solid, though not enterprise-grade.

Accessibility & Growth

Accessibility scores 91/100 on Lighthouse, but two failing audits — prohibited ARIA attributes and user-scalable=no blocking pinch zoom — hold it back. No WCAG statement exists, though keyboard navigation seems functional. Growth potential is real: the problem of scattered health data is genuine, and the eight AI coaches plus MCP integration with ChatGPT/Claude is a concrete differentiator. The category has headroom, but the app is only 0.3 years old with no traction signals beyond an Instagram profile. The wedge is specific, but it needs to prove it can retain users beyond the free early-access period.

Conclusion

Wellness Project is a promising entry in the crowded health-tracking space, offering a genuinely different approach with its eight AI coaches and MCP integration. The design and security foundations are solid, but mobile performance and accessibility need work. For fitness enthusiasts and biohackers willing to bet on an early-stage app, it's worth a try — especially while it's free. The real question is whether the AI coaches deliver on their promise of personalized, actionable insights, or if they're just fancy chatbots with good branding. If the team can optimize mobile speed and address accessibility gaps, this could carve out a loyal niche. For now, it's a compelling experiment with real potential.

Suggestions for improvement

Optimize mobile performance: reduce LCP by lazy-loading hero images and deferring non-critical JS
Fix prohibited ARIA attributes and remove user-scalable=no to improve accessibility
Add a single primary sign-in CTA to reduce choice paralysis on the homepage
Publish a WCAG compliance statement and document keyboard navigation support

How we score

Alternatives comparison

Named competitors, point by point. Nobody paid to appear here or to be left out.

	Wellness Project	MyFitnessPal	Fitbit App	Strong App	Whoop
AI Coaching	Eight specialized AI coaches with distinct voices and deep domain expertise	No AI coaching, only calorie and macro tracking	Basic insights, no personalized AI feedback	No AI coaches, only workout logging	Recovery insights, but no AI coaching
Meal Logging	Five methods: type, talk, photo, camera roll scan, usuals	Barcode scanning and manual entry, large food database	Manual food logging with limited database	No nutrition tracking	No meal logging, focuses on recovery
Wearable Integration	Syncs with Apple Health, Fitbit, Oura, Google Health Connect	Limited integration, mainly step counting	Native Fitbit device integration only	No wearable integration	Requires Whoop hardware, deep recovery data
AI Integration (MCP)	Full MCP support for ChatGPT, Claude, Perplexity, Gemini, Grok	No AI integration	No AI integration	No AI integration	No AI integration
Pricing Model	Free during early access, no credit card required	Freemium with premium subscription	Free with device purchase, premium tier available	Freemium with pro subscription	Subscription required, hardware purchase needed