How PraxPilot Generates Your Protocol
When you click Generate, PraxPilot runs the case data through a layered Clinical Intelligence system to produce a structured protocol draft.
Strengthening Confidence in Root Causes
For some cases, PraxPilot may suggest areas to further validate identified root causes.
These are designed to help you:
Confirm underlying drivers
Identify missing clinical signals
Improve confidence before finalizing treatment
How this differs from pattern prompts
Detected Pattern prompts → help refine observed signals
Root Cause prompts → help validate deeper physiological drivers
Both are designed to support clinical accuracy and confidence.
What Happens Behind the Scenes
1. Clinical Reasoning
The system analyzes your intake data — symptoms, labs, notes, and demographics — to identify likely physiological themes. Examples include gut dysbiosis, blood sugar dysregulation, inflammation, or HPA axis strain. Instead of reacting to individual symptoms, it looks for underlying patterns.
2. Personalization
If you have used PraxPilot before, the system draws on your clinical style profile — your supplement preferences, dosing patterns, and protocol structure tendencies — to align the draft with how you practice.
3. Similar Case Matching
The system checks your case history for similar patient presentations and incorporates relevant patterns from those cases.
4. Protocol Structuring
The output is organized into three phases — Stabilization, Targeted Correction, and Maintenance — with supplements, dosing, diet guidance, and lifestyle recommendations for each.
What You Receive
A fully structured, editable protocol draft. It is not a final clinical decision — it is a well-organized starting point designed to save you significant drafting time.