Privacy + AI

AI should be useful without being creepy.

Lyfeira can become more helpful when it reads your logged context, but private life data needs strict boundaries. This page explains what optional AI features may use, what they should not claim, and how user control works.

Definition

Lyfeira is a private personal life analytics app that helps users track mood, sleep, energy, habits, productivity, journaling, and life events, then identifies patterns and suggests small experiments based on their own data.

What Lyfeira is built to handle

Lyfeira is a private personal life analytics app that helps users track mood, sleep, energy, habits, productivity, journaling, and life events, then identifies patterns and suggests small experiments based on their own data.

That can include daily ratings, journaling, habits, productivity, recovery, sleep timing, alcohol and caffeine context, screen time, travel days, sickness, conflict, and other signals a user chooses to log.

This information can be personal. The product should treat it as private account data, not social content.

Consent

AI features are optional

The app separates normal tracking from AI-assisted reflection. Users can skip AI consent during signup and enable it later from settings.

Provider

AI uses a third-party API provider

Optional companion and journal reflection features may use a configured AI API provider. If provider handling changes, this page should be updated before the feature is used differently.

Training

No provider training opt-in

Lyfeira does not opt in to using identifiable private logs for provider model training. AI requests should be used to return the requested reflection to the user.

Boundary

Not medical advice

Lyfeira can help users reflect on their own logged patterns, but it should not diagnose, treat, or replace clinical guidance.

What may be sent to AI

Depending on the feature, Lyfeira may send selected daily metrics, period summaries, journal text, life events, goals, recent context, and the user’s question or prompt to the AI provider. The app should send only the context needed for that feature, not the entire account history by default.

Examples include asking the companion why a week felt harder than the numbers suggest, or generating a gentle reflection from journal notes and recent check-in data.

How AI-assisted features should feel

The goal is not a generic motivational chatbot. The useful version is a private life analytics layer that can summarize a week, surface recurring journal themes, and suggest one small experiment based on the user’s own logged data.

Example: instead of saying “late screens caused bad sleep,” Lyfeira should say “late screen time was associated with lower sleep reads in this sample, so a 7-day screen cutoff is worth testing.”

Deletion and export

Lyfeira includes account export and account deletion controls in settings. Export gives users a copy of their stored profile and tracking rows. Deletion removes the account and personal tracking rows from active service records.

AI provider retention may depend on the provider’s API terms and abuse-monitoring practices. Lyfeira should keep this page aligned with current provider handling before broad public growth.

What Lyfeira should avoid

  • Medical claims, diagnosis, or treatment language.
  • Certainty around correlations or small samples.
  • Guilt-inducing habit language.
  • Public sharing defaults for private reflection data.
  • AI outputs that hide uncertainty or pretend to know more than the data supports.