HOW IT WORKS

Explicit rules instead of a magic algorithm.

Deterministic personalization

Recommendations follow documented rules and voluntary user data. The system can show which signals were used and why a recommendation was made.

Subjective indicators

Sleep, energy, stress and focus are user self-ratings. They are not medical measurements or clinical assessments.

Evidence Library

Content connects to claims and sources. Stronger wording requires separate review of content and scope; bibliographic metadata is only the first step. Open Evidence Library →

Experiment ≠ proof

Comparing your own days can help observe patterns. We do not describe correlation as causation.

No hidden AI score

The user can reject a recommendation or change the goal. The platform does not require generative AI or paid APIs for personalization.