AgeShift

AgeShift needed a connected wellness product ecosystem that could guide users through routines, protocol tracking, and AI-powered recommendations — while giving administrators the operational visibility to manage it all with confidence.

Services

Product ecosystemAI recommendations

Outcomes

Built a Flutter mobile app, FastAPI backend, and Next.js admin panel on Google Cloud Platform.

Added AI-driven recommendations, structured protocol tracking, and unified user/admin workflows.

Implemented CI/CD pipelines for more reliable builds, testing, and deployment.

Created a secure, scalable product base for ongoing growth and behavior-driven insights.

AgeShift logo

Case breakdown

01

Context

AgeShift needed one coherent product ecosystem — connecting member experience, admin operations, and AI-driven guidance into a single platform that could scale as the business grew.

02

Challenge

The opportunity was not just to ship assets, but to help the business communicate value faster and with more confidence.

03

What we changed

We aligned the experience, supporting systems, and communication touchpoints around what users and stakeholders needed to understand next.

04

Outcome

A more connected product, a more capable admin platform, and a scalable infrastructure ready for future growth and behavior-driven product decisions.

Member experience

Wellness AI

Wellness app journey

A mobile-first product flow for routines, check-ins, and protocol guidance — built to feel calmer, clearer, and more actionable so users stay engaged with their wellness journey over time.

Wellness AI

Protocol tracking

Structured user flows that make ongoing habit tracking and next-step guidance easier to understand over time.

Admin and intelligence layers

Wellness AI

Admin operations surface

A landscape-oriented control layer for managing users, content, and operational visibility across the platform — giving administrators the clarity to act without switching between systems.

Wellness AI

Recommendation engine

AI-assisted personalization flows that connect user behavior, wellness signals, and backend logic into one product ecosystem — making guidance feel relevant rather than generic.

Shipped cross-platform product systems

Connected mobile, backend, and admin experiences into one coherent operational platform.

Integrated AI recommendations

Used AI to make routine guidance and wellness insights more personalized and actionable for every user.

Built for secure scaling

Paired product execution with cloud infrastructure and CI/CD for long-term reliability and growth.

Client perspective

"The impact came from connecting the whole system. Mobile experience, backend APIs, admin tooling, AI recommendations, and cloud infrastructure were built to work together instead of behaving like separate layers."

AgeShift team

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