TenaSew — Wellness platform

An Ethiopia-rooted wellness product with a practical content library, habits and progress, body-confidence guidance, bilingual navigation, and bounded AI support.

TenaSew wellness hero image and habit progress visual

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.