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Building an AI Wellness App

Revision as of Jun 27, 2026 02:49 by albert.

A wellness companion is a friendly surface for mental and physical wellbeing — and a nice showcase for a private, local-LLM-backed app.

Core features

  • Mood tracking — quick check-ins; chart trends over time.
  • Journaling — freeform entries, optionally summarized by a local model.
  • Breathing — guided exercises with a paced animation.

Natural extensions

  • CBT tools — thought records and cognitive-reframing prompts.
  • Goals & habits — lightweight tracking with gentle nudges.
  • Pattern detection — surface mood/sleep correlations.
  • Sleep — wind-down routines and tracking.

Design notes

Principle Why
Local-first data Wellbeing data is sensitive — keep it on-device
Low friction A check-in must take seconds, or it won't happen
Calm UI Single-column, gentle motion, no notification spam

If a local LLM summarizes journals or suggests reframes, keep that inference on your own hardware so private entries never leave home.

Related: Personal AI Assistant Architecture · Meeting Transcription with Local ASR