BodyTune

Step 1 - Set Up Your Profile & Sign In

BodyTune does not use a central server and does not collect any user data. Instead, everything is saved directly into your own Google Drive, in a regular, open folder that belongs entirely to you. Nothing is encrypted or hidden - these are plain files under your full ownership and responsibility. This ensures that your data stays portable, transparent, and accessible to any tool you choose in the future.

BodyTune’s insights become more accurate when the system understands your baseline - your body type, background, and physiological context.

This setup is done once, quickly, and helps all future reports become more meaningful.

Step 2 - Set Up Your Event Templates

In this screen you create abstract event templates - not actual journal entries. These are the repeating actions, habits, medications, or meaningful moments you may want to log later with a single tap.

Create each type of action/medication/activity once - then log it instantly later with a single tap. Entries are created only when tapped, not when templates are created.

Step 3 - Stickers

Stickers represent the sensations or signals you want to track on your body map. Just enable the ones that matter to you (editable) - sharp pain, cold sensation, brain fog, tingling, heat, and so on. You don’t need to teach the system anything; the meanings are optional and only help later during interpretation.

Each time you mark a location on your body, you choose a sticker. This consistent tagging allows BodyTune to detect patterns between the type of sensation, where it appears, and the actions or events you logged throughout the day.

BodyTune’s statistical analysis runs first without knowing the real-world meaning of each sticker. If you choose to share your personal meanings later during an AI report, that interpretation layer can enrich the insights - but the tracking itself stays simple, neutral, and fast.

Step 4 - Dashboard

The body map is where you record how you feel at the moment you’re logging, not as a daily task. You only add or adjust stickers when something actually changes - pain, relief, tension, fatigue, digestion shifts, and so on.

This keeps your log clean and meaningful: no updates = no change, and the system preserves the last known state automatically. There’s no need to build new habits or report every day - BodyTune is designed to fit real life, not to burden it.

Over time, these moment-based updates allow BodyTune to detect real, long-term patterns without overwhelming you.

Step 5 - Journey

The Journey is the single source of truth for your data in the cloud. Every entry is a fixed timestamp snapshot of your state at the moment of logging - either by tapping an event in the Events page or by saving the current sticker map. Entries cannot be edited, only deleted, so the timeline stays consistent and trustworthy.

BodyTune follows a deliberate strategy of saving data only when something actually changes. The app does not log indirectly or continuously - the assumption is that “no new entry” means “no meaningful change.” This prevents data overload and keeps the statistical analysis focused on real signals instead of noise.

The same strategy also keeps your Journey readable and useful at the human level: instead of endless repetitive logs, you get a clear, meaningful history of the moments that really mattered - both for you and for future analysis.

Step 6 - Analyze

When a user requests an insight report, the app sends only the relevant journal files (JSONL) from the selected date range. No additional data is transmitted, no silent collection occurs, and the server does not retain any history between sessions.

The processing on the server is intentionally divided into two separate stages to reduce bias and maintain analytical neutrality:

1. Blind statistical stage - the server analyzes the raw log entries purely as time-based events, without any personal context, user background, or sticker interpretations. At this point, the system detects patterns, timing structures, frequencies, and trends, relying exclusively on what is encoded in the journal files. No keywords, no user-specific assumptions, and no emotional or semantic layers are introduced.

2. Contextual stage - once the blind statistical layer is complete, the system enriches the analysis with optional context provided in the app’s settings: personal background, basic profile information, and the user’s own sticker-meaning map. The notes included in the report request help direct the focus of this specific session, but they do not modify or override the underlying data.