Platform Architecture

How LongevLife
Works

Evidence-Based AI for Longevity Intelligence

How the platform works, where the AI is involved, where it is never involved, and why you can trust the methodology.

DOI-VERIFIED HUMAN-REVIEWED EVIDENCE-GRADED NO DIAGNOSIS
System architecture

From your answers to your report.

One fixed pipeline. Each stage is a separate component with a defined role. Hover over a card to reveal an explanation.

01
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User answers
15 adaptive questions across 6 health domains.
02
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Data validation
Checking the consistency and completeness of the input.
03
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AI Scientist
Scientific analysis and reasoning on the profile.
04
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Evidence matching
Matching to verified sources with DOI.
05
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Study verification
Verifying that every source exists and is checkable.
06
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Vitality Score
A summary score based on the measured domains.
07
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Your report
A personalized protocol and recommendations.
β–Έ HOVER A STEP FOR DETAIL
Where AI is used

AI does the analysis. It never makes the call.

βœ“ AI does

  • βœ“ Analyzes questionnaire answers for a Vitality Score
  • βœ“ Identifies patterns in health data
  • βœ“ Presents scientific information relevant to the profile
  • βœ“ Suggests evidence-based protocols
  • βœ“ Ranks biomarkers by personal importance
  • βœ“ Filters studies by relevance to age and gender

βœ• AI never does

  • βœ• Does not diagnose diseases
  • βœ• Does not prescribe medications
  • βœ• Does not replace a doctor
  • βœ• Does not make treatment decisions
  • βœ• Does not fabricate studies
  • βœ• Does not send data to third parties
AI decision engine

Five layers, fully traceable.

Every recommendation passes through five layers. No layer is a black box, and the explanation is always revealed.

L1
Questionnaire
Structured input from 15 adaptive questions.
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L2
Evidence database
Verified sources with DOI, indexed in PubMed.
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L3
Scientific weighting
Ranking by evidence strength in the hierarchy.
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L4
AI reasoning
Synthesis and adaptation to the personal profile.
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L5
Human-readable explanation
Explained output, with the sources behind it.
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Vitality Scoreβ„’

One score, six measured domains.

The Vitality Score summarizes six domains into a single measure. The radar below is an illustrative example, not a real user profile.

Sleep Metabolism Biomarkers Stress Nutrition Exercise
FIG Β· ILLUSTRATIVE EXAMPLE PROFILE
Sleep Sleep
Metabolism Metabolism
Nutrition Nutrition
Biomarkers Biomarkers
Exercise Physical Activity
Stress Mental Load
Evidence engine

Indexed sources, filtered to signal.

The engine relies on peer-reviewed sources indexed in PubMed. The names below are actually cited in the evidence base, with a DOI for each source.

PubMed NEJM The BMJ Nature The Lancet JAMA Evidence Engine
Sources are filtered by quality and relevance. We show source names only, not logos, and always link to the original DOI for independent verification.
Scientific filtering

Millions indexed. Few selected.

The funnel starts with PubMed-indexed sources and narrows through filtering to those that meet our standard.

PubMed indexed millions of records
Evidence screening topical relevance
Quality review study design + hierarchy
Clinical relevance age + sex applicability
Selected evidence 86 DOI-verified
The bottom number (86) is actually counted from the knowledge base. The top of the funnel describes the scope of PubMed, not a number we claim to have scanned.
Recommendation engine

How a recommendation is generated.

01
User profile
A personal profile from the questionnaire.
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02
Scientific evidence
Matching sources with DOI.
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03
AI analysis
Adaptation and reasoning over the evidence.
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04
Confidence score
A confidence level based on evidence strength.
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05
Protocol generation
Building a tailored protocol.
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06
Personalized output
Explained output with sources and limitations.
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Transparency

Every recommendation shows its work.

Every output comes with the information that lets you check it yourself.

REFERENCE

DOI

A verified identifier for each study, checkable on PubMed.

SOURCE

Publication

The name of the journal and publication the evidence was taken from.

STRENGTH

Evidence level

Ranking in the evidence hierarchy.

DATE

Study date

The year of publication, for transparency about recency.

CONTEXT

Medical notes

Medical context and necessary clarifications.

HONESTY

Limitations

Where the evidence is partial or ambiguous.

Hard limits

What we never do.

βœ•No fabricated studies
βœ•No fake citations
βœ•No medical diagnosis
βœ•No hidden AI reasoning
βœ•No sponsored recommendations
βœ•No hallucinated references
Continuous quality

The platform keeps itself honest.

Research updates
New sources are reviewed and incorporated when they meet the standard.
Evidence reviews
Existing evidence is re-checked for recency and strength.
Protocol updates
Protocols are updated when the evidence changes.
Version control
Changes are documented in the public review process.
Quality assurance
Every item undergoes DOI verification and human editing before publication.
Documentation

Read the standards.

Β© 2025-2026 LongevLife Educational content only, not a substitute for personalized medical advice. The radar above is an illustrative example, not a real user profile. Source figures are counted directly from the live knowledge base.