How Adaptive Personalization Learns Your Style

Adaptive Personalization is the system that makes PraxPilot increasingly aligned with how you practice over time.

What It Learns

Every time you edit a finalized protocol, PraxPilot records that decision as a clinical preference signal. Over time, these signals reveal consistent patterns in your approach.

The system tracks:

• Supplement preferences — which supplements you keep, add, or remove

• Dosing patterns — whether you favor conservative or more aggressive dosing, and your preferred ranges

• Phase structure — how you distribute interventions across phases

• Diet and lifestyle emphasis — how much weight you give to these sections relative to supplementation

• Protocol complexity — whether you tend toward minimal or comprehensive protocols

How It Influences Future Protocols

Once enough signals are accumulated, PraxPilot begins incorporating your preferences into new protocol drafts. You may notice:

• Supplements you frequently use appearing more often

• Supplements you often remove appearing less often

• Dosing suggestions that match your typical ranges

• Protocol structures that feel familiar

Important: Only Finalized Protocols Count

Adaptive Personalization only learns from finalized protocols, not drafts. This ensures the system learns from your actual clinical decisions, not temporary edits.