
03 / wellbeing
Useful guidance without shame, pressure, or medical overreach.
Status
Live product
Category
Health and wellbeing
Video walkthrough
TenaSew — Wellness platform in motion.
A user chooses a support area, explores a short guide, tries a small action, saves progress through authenticated routes, and can ask the bounded assistant for educational context without turning the product into a diagnostic service.
A visual tour of the primary product flow
Context
TenaSew brings wellness education, self-confidence, movement, nutrition, skin and hair care, and rest into a calm, local-feeling experience.
The problem
Wellness products can become noisy or prescriptive. TenaSew needs to make a small action feel approachable while being clear about what the product is not.
My contribution
I shaped the responsive product experience, content routes, onboarding and preference flow, authenticated habit and progress surfaces, bilingual presentation, and the safety boundaries around educational AI.
Real workflow
A user chooses a support area, explores a short guide, tries a small action, saves progress through authenticated routes, and can ask the bounded assistant for educational context without turning the product into a diagnostic service.
Architecture
The repository uses Next.js App Router with server-only PostgreSQL access, feature-oriented route handlers, HTTP-only session cookies, and an explicit data model for profiles, preferences, habits, completions, feedback, and audit records.
Integrations
The deployment docs call out the database, app URL, AI provider configuration, and production security work as separate setup boundaries so a configured environment variable is not mistaken for a completed control.
What works in the described product
- Wellness content library with topic routes
- Preference-aware onboarding and habit tracking
- Progress and personalized recommendation surfaces
- English / Amharic presentation paths
- Educational AI with explicit non-diagnostic boundaries
- HTTP-only sessions and server-side database access
Verification and boundaries
The repository includes smoke tests, typecheck/build commands, architecture notes, deployment guidance, and explicit pre-launch gaps around rate limits, recovery, CSRF, RLS, backups, and professional verification.
Next: For a production handover, I would close the documented security and operations checklist before collecting sensitive health-adjacent data at scale.