AgeWell FAQs

Question 1

What health areas does AgeWell cover?

Accepted Answer

AgeWell provides insights across 8 critical longevity pillars: Metabolism, Cardiovascular, Fitness, Nutrition, Recovery, Biomarkers, Neurology, and Cellular Longevity. It helps users understand and improve their health in these key domains.

Question 2

Can AgeWell be integrated with other AI systems?

Accepted Answer

Yes, AgeWell functions as an MCP (Model Context Protocol) Server. This allows other AI agents or tools, such as Claude Desktop or Cursor, to query its clinical database for structured, 5-step clinical reports as part of their AI workflow.

Question 3

How does AgeWell generate its health recommendations?

Accepted Answer

AgeWell uses a RAG (Retrieval-Augmented Generation) engine, powered by Gemini 2.5 Flash and BGE-M3 embeddings, to cross-reference individual biometrics against a vast knowledge base. This base covers 8 longevity pillars sourced from over 45 authoritative medical sources.

Question 4

What are AgeWell's core technical innovations?

Accepted Answer

Key innovations include Severity Override Logic to prioritize critical health outliers and urgent protocols, Deterministic Output Sanitization for consistent clinical-grade report formatting, and Recursive Semantic Chunking for optimal retrieval of medical context.

Question 5

What is AgeWell?

Accepted Answer

AgeWell is an AI-powered clinical reasoning engine that translates complex biomarkers into personalized, evidence-based health roadmaps. It mimics the logic of a longevity physician to help users understand their health data and take action.

AgeWell

AgeWell

Características Principales

Casos de Uso

Características Principales

Casos de Uso