VitalPattern Specification

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VitalPattern Specification

Bringing Your Health Patterns Together.

Overview

VitalPattern is an AI-assisted health, nutrition, fitness, and personal health-data intelligence specification designed to bring a user’s health patterns together in one continuously evolving profile.

The system connects nutrition, food preferences, exercise, weight, fitness goals, laboratory results, health measurements, connected devices, historical trends, and user-defined objectives. AI analyzes the available information to identify patterns, calculate nutritional and activity information, and provide personalized recommendations.

VitalPattern is designed as an assistive system. It does not replace physicians, dietitians, trainers, or other qualified health professionals.

Design Principles

Human-centered health intelligence
User-owned health information
Persistent personal context
Modular architecture
Continuous recalculation
Evidence and source provenance
Clear distinction between measured, sourced, estimated, and AI-generated information
User correction and override
Profile isolation
Cross-device continuity
Data portability
Vendor neutrality
Privacy and security
Human-in-the-loop decision support
Medical safety and scope awareness

Core Personal Profile Module

The Personal Profile Module establishes the foundational profile used by VitalPattern to personalize nutrition, fitness, health analysis, and recommendations.

Features

Individual user profiles
Separate health, nutrition, fitness, and goal information
Height tracking
Weight tracking
Age and demographic information
Fitness and athletic conditioning level
Activity level
Dietary preferences
Dietary restrictions
Food preferences
Foods to avoid
Fitness experience
Equipment availability
Personal goals
Goal timelines
Custom targets
Historical goal tracking
Profile-specific AI context
User corrections
User-controlled profile management

Food and Meal Intelligence Module

The Food and Meal Intelligence Module allows users to record food and meals through voice or text and converts those entries into structured nutritional information.

Features

Voice-based food logging
Text-based food logging
Natural-language meal descriptions
Individual food entry
Complete meal entry
Snack tracking
Breakfast tracking
Lunch tracking
Dinner tracking
Custom meal categories
Portion-size recognition
Quantity recognition
Ingredient recognition
Brand recognition
Restaurant food recognition
Packaged food recognition
Barcode-based food identification
Generic food identification when brand information is unavailable
User correction of food recognition
Meal timestamps
Recurring meal recognition
Frequently consumed food recognition
Food history
Meal history

Individual Food Profile Module

The Individual Food Profile Module builds a persistent understanding of each user’s relationship with food.

Features

Frequently consumed foods
Favorite foods
Frequently purchased brands
Preferred food categories
Typical portion sizes
Typical meals
Typical meal timing
Food preferences
Foods the user avoids
Dietary restrictions
Previously accepted recommendations
Previously rejected recommendations
Common food substitutions
Restaurant preferences
Packaged food preferences
Nutritional contribution of commonly consumed foods
Historical food patterns
Personalized food recommendations
Progressive food-profile development

Recommendations should prioritize established foods and preferences before introducing unfamiliar foods.

Nutritional Intelligence Module

The Nutritional Intelligence Module calculates and tracks calories, macronutrients, micronutrients, and other available nutritional information.

Features

Calories
Protein
Carbohydrates
Total fat
Saturated fat
Trans fat where available
Monounsaturated fat where available
Polyunsaturated fat where available
Fiber
Sugar
Added sugar where available
Sodium
Cholesterol
Calcium
Iron
Magnesium
Phosphorus
Potassium
Zinc
Copper
Manganese
Selenium
Vitamin A
Vitamin C
Vitamin D
Vitamin E
Vitamin K
Thiamin
Riboflavin
Niacin
Vitamin B6
Folate
Vitamin B12
Choline where available
Other available micronutrients
Serving-size calculations
Quantity-based nutritional recalculation
Brand-specific nutritional labels
Generic nutritional values
Restaurant nutritional information
Recipe nutritional calculations
Nutritional data source tracking
Verified versus estimated nutritional information

Daily Nutrition Tracking Module

The Daily Nutrition Tracking Module maintains a continuously updated view of the user’s nutritional intake.

Features

Running calorie total
Running protein total
Running carbohydrate total
Running fat total
Running fiber total
Running micronutrient totals
Remaining daily calories
Remaining macro targets
Remaining nutritional requirements
Daily nutritional balance
Nutritional gap identification
Nutritional excess identification
Macro balance monitoring
Micronutrient balance monitoring
Meal-by-meal recalculation
Automatic recalculation after corrections
Daily nutrition summaries

Long-Term Nutrition and Trend Module

The Long-Term Nutrition and Trend Module identifies patterns across weekly, monthly, and longer periods.

Features

Weekly calorie tracking
Monthly calorie tracking
Weekly macro tracking
Monthly macro tracking
Weekly micronutrient tracking
Monthly micronutrient tracking
Weight trends
Fitness trends
Strength trends
Goal progression
Nutritional pattern recognition
Persistent nutritional gap detection
Persistent nutritional excess detection
Long-term activity trends
Daily versus long-term trend comparison

Nutritional Gap Analysis Module

The Nutritional Gap Analysis Module identifies nutritional areas that may require attention based on available intake data and user goals.

Features

Protein gap identification
Carbohydrate gap identification
Fat gap identification
Fiber gap identification
Vitamin gap identification
Mineral gap identification
Sodium analysis
Potassium analysis
Calcium analysis
Magnesium analysis
Iron analysis
Zinc analysis
Other available micronutrient analysis
Excess nutrient identification
Multi-nutrient analysis
Whole-day nutritional balance analysis
Weekly nutritional pattern analysis
Monthly nutritional pattern analysis

AI Food Recommendation Module

The AI Food Recommendation Module provides personalized food and meal recommendations using the user’s goals, nutritional intake, food profile, health information, and established history.

Features

Personalized meal recommendations
Personalized food recommendations
High-protein recommendations
Calorie-conscious recommendations
Macro-balancing recommendations
Micronutrient-balancing recommendations
Fiber recommendations
Food substitutions
Portion recommendations
Meal completion recommendations
Remaining-day recommendations
Dinner recommendations
Snack recommendations
Recommendations based on established food history
Recommendations based on commonly consumed foods first
Recommendations based on food preferences
Generic alternatives when preferred foods are unavailable
New food suggestions when existing foods cannot address a nutritional gap
Brand-specific recommendations when data is available
Nutritional explanation for recommendations
Recommendation rationale
User override of recommendations

Weight and Goal Management Module

The Weight and Goal Management Module manages weight-related objectives and adapts recommendations according to the user’s selected goals.

Features

Weight-loss goals
Weight-maintenance goals
Weight-gain goals
Target weight
Goal timelines
Current versus target weight
Weight trend tracking
Adaptive calorie recommendations
Adaptive nutrition recommendations
Adaptive exercise recommendations
Goal progress tracking
Goal recalculation
Rebaseline after sustained deviation

Strength and Fitness Module

The Strength and Fitness Module coordinates fitness objectives with nutrition and activity recommendations.

Features

Strength goals
Muscle-development goals
Endurance goals
Cardiovascular goals
General fitness goals
Mobility goals
Flexibility goals
Activity goals
Progressive exercise recommendations
Goal-specific nutrition recommendations
Goal-specific exercise recommendations
Combined food and exercise planning
Continuous goal recalculation

Exercise Tracking Module

The Exercise Tracking Module records physical activity and exercise across multiple categories.

Features

Walking
Running
Jogging
Hiking
Cycling
Swimming
Rowing
Aerobic exercise
Cardio
Resistance training
Weight training
Bodyweight exercise
Mobility exercises
Flexibility exercises
Interval training
Low-impact exercise
High-intensity exercise
Sports activities
Custom exercises
Exercise duration
Exercise intensity
Distance tracking
Sets
Repetitions
Weight used
Heart rate
Workout history
Exercise frequency
Exercise progression

Exercise Intelligence Module

The Exercise Intelligence Module recommends activities based on the user’s profile, goals, conditioning, activity history, nutritional state, and available equipment.

Features

Personalized exercise recommendations
Recommendations based on height
Recommendations based on weight
Recommendations based on age
Recommendations based on athletic ability
Recommendations based on conditioning
Recommendations based on exercise history
Recommendations based on available equipment
Recommendations based on current daily activity
Recommendations based on fitness goals
Recommendations based on nutritional status
Daily activity recommendations
Weekly activity recommendations
Progressive exercise planning
Recovery-aware recommendations
Exercise substitutions
Exercise intensity recommendations
Exercise duration recommendations

Exercise Energy Estimation Module

The Exercise Energy Estimation Module estimates energy expenditure associated with physical activity.

Features

Estimated calorie expenditure
Weight-adjusted energy estimates
Height-adjusted calculations where applicable
Exercise-type calculations
Duration-based calculations
Intensity-based calculations
Fitness-level considerations
Athletic-conditioning considerations
Device-measured activity integration
Estimated versus measured energy expenditure
Exercise uncertainty indicators

Food and Exercise Coordination Module

The Food and Exercise Coordination Module continuously connects nutrition and activity information.

Features

Unified nutrition and exercise intelligence
Food-to-exercise balancing
Exercise-to-food balancing
Daily energy balance
Remaining calorie calculations
Additional activity recommendations
Exercise distribution across multiple days
Weekly activity balancing
Recovery considerations
Goal-aware energy balancing
Meal recommendations based on planned exercise
Exercise recommendations based on current nutrition
Continuous recalculation after meals
Continuous recalculation after exercise

Blood Work Intake Module

The Blood Work Intake Module allows users to enter individual laboratory results or upload laboratory reports for structured tracking.

Features

Voice entry of individual laboratory results
Text entry of individual laboratory results
Laboratory report uploads
Drag-and-drop laboratory files
Document recognition
Image recognition where supported
Multiple results from one report
Laboratory test recognition
Value recognition
Unit recognition
Reference-range recognition
Laboratory date recognition
Laboratory source identification
Manual correction
Historical laboratory storage
Original-document preservation
Laboratory provenance tracking

Health and Laboratory Tracking Module

The Health and Laboratory Tracking Module maintains structured health measurements and laboratory histories.

Features

Glucose measurements
A1C tracking
Lipid measurements
Electrolytes
Kidney-related measurements
Liver-related measurements
Blood counts
Iron-related measurements
Vitamin measurements
Mineral measurements
Hormone measurements
User-defined health measurements
Historical health measurements
Health trend analysis
High-result identification
Low-result identification
Repeated-result pattern identification
Laboratory reference-range preservation
Source-specific reference ranges

Health-Aware Nutrition Module

The Health-Aware Nutrition Module uses available health information as additional context for nutritional analysis and recommendations.

Features

Nutritional analysis incorporating available laboratory information
Micronutrient adjustment recommendations
Nutrition adjustments based on documented health data
Food recommendations based on nutritional requirements
Brand-label nutritional analysis
Generic food alternatives
User-preference-aware recommendations
Historical food-aware recommendations
Multi-nutrient optimization
Whole-day nutritional impact analysis
Nutritional tradeoff analysis
Food substitution recommendations
Nutritional label comparison

The system may identify foods that are relevant to documented nutritional needs, but must not claim that food diagnoses, cures, or treats a medical condition.

Glucose-Aware Recommendation Module

The Glucose-Aware Recommendation Module provides context-aware nutritional information when glucose measurements are available.

Features

Glucose result tracking
Glucose history
Glucose trend analysis
Food-history-aware recommendations
Commonly consumed food recommendations
Preference-based alternatives
Nutritional information for suggested foods
Context-aware recommendations
Time-aware recommendations where relevant
Safety escalation for potentially concerning readings
Clear distinction between nutritional assistance and medical treatment
Medical-professional collaboration support

Potentially concerning measurements must trigger appropriate safety guidance rather than relying solely on routine food recommendations.

Health Trend Analysis Module

The Health Trend Analysis Module examines relationships among nutrition, exercise, weight, laboratory results, health measurements, and other recorded information.

Features

Laboratory trend tracking
Nutrition versus health measurement comparison
Exercise versus health measurement comparison
Weight versus nutrition comparison
Weight versus activity comparison
Historical pattern analysis
Correlation exploration
Trend visualization
Date-range analysis
Seven-day analysis
Thirty-day analysis
Longer-term trend analysis
Correlation versus causation distinction

Adaptive Recalculation Module

The Adaptive Recalculation Module continuously updates calculations and recommendations as new information becomes available.

Features

Recalculation after every meal
Recalculation after snacks
Recalculation after exercise
Recalculation after weight changes
Recalculation after goal changes
Recalculation after laboratory results
Recalculation after food corrections
Recalculation after exercise corrections
Recalculation after nutritional-label updates
Recalculation after significant deviations
Dynamic daily targets
Dynamic weekly targets
Dynamic meal recommendations
Dynamic exercise recommendations
Dynamic nutritional recommendations

Rebaseline and Recovery Module

The Rebaseline and Recovery Module establishes a new planning baseline when persistent nutritional or activity deviations indicate that the current plan no longer represents the user’s present state.

Features

Seven-day trend evaluation
Persistent imbalance detection
Significant deviation detection
Current-state reassessment
New baseline creation
Updated nutritional targets
Updated exercise targets
Updated goal calculations
Updated meal recommendations
Updated fitness recommendations
Historical preservation
Previous-plan retention
Current-state restart point

Rebaselining must preserve historical information and must not be used to erase, conceal, or overwrite prior health records.

Personalized Program Module

The Personalized Program Module combines nutrition, exercise, goals, and available health context into adaptive programs.

Features

Personalized meal programs
Personalized exercise programs
Weight-loss programs
Weight-gain programs
Weight-maintenance programs
Strength programs
Fitness programs
Endurance programs
Daily plans
Weekly plans
Progressive plans
Adaptive plans
Recovery days
Goal milestones
Continuous plan adjustment

Universal Device Synchronization Module

The Universal Device Synchronization Module provides continuity of a user’s profile and data across supported devices and environments.

Features

Cross-device profile synchronization
Desktop synchronization
Laptop synchronization
Mobile synchronization
Tablet synchronization
Smartwatch synchronization
Fitness tracker synchronization
Smart-scale synchronization
Exercise-equipment synchronization
Health-device synchronization
Web application synchronization
Local network synchronization
Private cloud synchronization
Self-hosted synchronization
Hybrid synchronization
Near-real-time synchronization
Offline-first operation
Automatic synchronization when connectivity returns
Synchronization conflict resolution
Device authorization
Device revocation
Remote logout
Session management
Device replacement recovery
Lost-device recovery
Profile restoration

The user profile remains the source of continuity rather than any individual device.

Connected Health Devices Module

The Connected Health Devices Module provides interoperability with compatible health, fitness, and activity devices.

Features

Smart scales
Fitness trackers
Smartwatches
Heart-rate monitors
Blood glucose devices
Blood pressure monitors
Pulse oximeters
Sleep devices
Exercise equipment
Other compatible health devices
Device-specific data provenance
Measured versus estimated data distinction

Profile Isolation Module

The Profile Isolation Module ensures that each user’s information remains separate when multiple users access the same environment.

Features

Separate profiles for every user
Separate food histories
Separate health histories
Separate blood work
Separate exercise histories
Separate weight histories
Separate fitness statistics
Separate goals
Separate recommendations
Separate AI context
Separate uploaded documents
Separate device associations
Separate preferences
Separate user corrections
Profile-specific synchronization
Profile-specific AI retrieval
Profile-specific recommendation generation
Profile switching
Authentication
Multi-user shared-device support
Household sharing controls
No automatic cross-user health-data sharing

The system must never use one user’s health, nutrition, fitness, or profile data as context for another user’s recommendations.

Data Provenance Module

The Data Provenance Module records where information originated and how it has been transformed.

Features

Food data source tracking
Brand-label provenance
Laboratory provenance
Device provenance
User-input provenance
AI-extraction identification
AI-estimation identification
AI-recommendation identification
User-correction tracking
Source confidence
Verified versus estimated data
Original-source preservation
Recommendation history

Medical Professional Collaboration Module

The Medical Professional Collaboration Module provides user-controlled tools for preparing and sharing relevant health information with qualified professionals.

Features

Health summary reports
Laboratory history reports
Nutrition reports
Food history reports
Exercise reports
Weight reports
Fitness reports
Goal reports
Trend reports
Nutritional gap reports
Recommendation history
Data provenance reports
User-controlled professional sharing
Date-range selection
Category-specific sharing
Exportable records
Professional review support
Clear separation between AI recommendations and professional medical information

Profile Export and Portability Module

The Profile Export and Portability Module allows users to retrieve and move their information without being locked to a single implementation.

Features

Complete profile export
Selective profile export
Custom date-range export
Food history export
Nutrition export
Exercise export
Fitness export
Weight export
Blood work export
Health measurement export
Goal export
Food profile export
Recommendation export
Provenance export
Original document export
Machine-readable export
Human-readable reports

Health Data Interoperability Module

The Health Data Interoperability Module supports importing, exporting, and exchanging structured health information.

Features

Import from other health applications
Export to other health applications
Import laboratory histories
Export laboratory histories
Import nutrition histories
Export nutrition histories
Import exercise histories
Export exercise histories
Data migration
Profile portability
Open data formats
Vendor-neutral interfaces
Standards-based healthcare interoperability where supported
Authenticated API access
Scoped API permissions
Read-only access
Application authorization
Access revocation
API audit logging

Privacy and Security Module

The Privacy and Security Module protects user health information and provides control over access, sharing, synchronization, and storage.

Features

User-controlled data
User-controlled sharing
Local-first operation where practical
Self-hosting support
Private cloud support
Encryption
Secure synchronization
Granular permissions
Per-user authorization
Device authorization
Data export controls
Data deletion
Data correction
Audit history
Secure document storage
Profile isolation
Health-data access controls
Temporary export protection
Password-protected exports where supported
No mandatory single-vendor ecosystem

AI Transparency and Safety Module

The AI Transparency and Safety Module establishes requirements for responsible AI-assisted health and fitness functionality.

Features

Clear distinction between measured and estimated information
Clear distinction between sourced and AI-generated information
Nutritional-data provenance
Laboratory-data provenance
Recommendation explanations
AI assumption disclosure
Uncertainty indicators
User correction workflows
Human override
No unsupported medical diagnosis
No unsupported medical treatment claims
Professional consultation prompts where appropriate
Safety escalation for potentially concerning health information
Preservation of original medical data
Preservation of historical records
Auditable recommendation history

Medical Safety and Scope

VitalPattern is an AI-assisted system for health, nutrition, fitness, and personal health-data management. It is intended to assist users in organizing information, identifying patterns, understanding nutritional and activity data, and making informed decisions about their personal health routines.

VitalPattern must not present itself as a physician, dietitian, trainer, therapist, or other qualified healthcare professional. Each implementation must clearly communicate its intended use and applicable regulatory status.

Medical Information Boundaries

The system may analyze food, nutrition, calories, macronutrients, micronutrients, exercise, activity, weight, goals, health information, laboratory results, health trends, and connected-device measurements.
Recommendations must not be presented as a diagnosis, prescription, or substitute for professional medical judgment.
Laboratory results must preserve the original value, unit, reference range, date, and source when available.
The system must distinguish user-entered information from AI-extracted, AI-estimated, and AI-interpreted information.
Nutritional recommendations may identify foods relevant to documented nutritional gaps or dietary considerations.
The system must not claim that a food or dietary recommendation diagnoses, cures, or treats a disease or medical condition.
The system must not guarantee that a food recommendation will return a health measurement to a particular range.
Potentially concerning measurements must trigger appropriate medical or emergency guidance rather than relying solely on routine nutrition or exercise recommendations.
Recorded medications or professional instructions must not be used as a basis for prescribing, changing, starting, or stopping treatment.
The system must not override instructions from qualified healthcare professionals.

Recommendation Transparency

Recommendations should communicate, where applicable:

The user’s relevant goal
Relevant nutrition information
Relevant activity information
Relevant health or laboratory information
Data sources
Measured versus estimated information
Assumptions
Uncertainty
Recommendation rationale

When information is missing, ambiguous, or unreliable, the system should request clarification or clearly identify a qualified estimate rather than inventing information.

Exercise Safety

Exercise recommendations should consider available information about:

Age
Height
Weight
Fitness level
Conditioning
Exercise history
Current activity
Exercise intensity
Exercise duration
Goals
Available equipment
Known limitations
Relevant health information

The system should avoid recommendations that disregard documented limitations or create unnecessary risk.

Calorie Compensation

When a user records an intake above a selected energy target, VitalPattern may provide informational estimates of additional activity that could affect energy balance.

Such recommendations should account for:

Recovery
Exercise load
Fitness level
Injury or activity limitations
Current activity
User goals
The size and persistence of the deviation

Large deviations may be distributed across multiple days rather than prompting excessive exercise or restrictive eating.

Weight Management Safety

The system should distinguish among:

User-selected goals
AI-generated targets
Measured weight
Historical progress
Current trends
Estimated future progress

The system should avoid unsafe or extreme weight-management recommendations and should encourage professional oversight when the available information indicates that it may be appropriate.

Rebaseline Safety

When persistent imbalance or significant deviation is identified over the defined evaluation period, the system may establish a new baseline based on the user’s current state.

Rebaselining must:

Preserve historical records
Preserve previous plans
Establish a clearly identified new baseline
Recalculate applicable targets
Reassess goals
Avoid punitive compensation
Avoid excessive exercise recommendations
Avoid extreme dietary restriction

Human-in-the-Loop Principle

Users must remain able to review, correct, reject, override, and modify AI-generated information and recommendations.

VitalPattern should support professional review where appropriate and must not present automated output as having authority greater than the underlying data or the qualified professionals reviewing it.

Urgent and Emergency Situations

VitalPattern must not attempt to manage potentially urgent or emergency health situations through routine nutrition or exercise recommendations.

When available information indicates a potentially urgent situation, the system should direct the user toward appropriate immediate medical assistance.

Interoperability and Vendor Neutrality Module

The Interoperability and Vendor Neutrality Module prevents dependence on a single device, service, application, or provider.

Features

Open interfaces
Documented APIs
Vendor-neutral architecture
Device-neutral architecture
Cloud-provider neutrality
Operating-system neutrality
Hardware neutrality
Portable user profiles
Portable food profiles
Portable health records
Portable fitness records
Portable goal data
Portable historical statistics
Open export capabilities
Import capabilities
Extensible integration framework

User Control Module

The User Control Module gives users direct control over their information, goals, recommendations, devices, and AI interactions.

Features

User-created goals
User-adjustable targets
User food preferences
User exercise preferences
User corrections
User recommendation overrides
User-selected data sharing
User-selected export categories
User-selected export dates
User-selected connected devices
Device authorization control
Profile management
Data deletion
Data export
Data portability
AI interaction controls
Recommendation history review
Full historical record access

Optional Plugin Modules

VitalPattern should support optional modules that extend the core system without requiring every implementation to include every capability.

Optional Meal Planning Plugin

Automated meal planning
Multi-day meal plans
Grocery list generation
Ingredient aggregation
Leftover-aware planning
Nutritional target matching
Preference-aware meal planning
Budget-aware meal planning
Meal substitution

Optional Recipe Intelligence Plugin

Recipe import
Recipe parsing
Ingredient recognition
Portion scaling
Nutritional calculation
Nutritional gap analysis
Recipe substitutions
Personalized recipe recommendations
Brand-specific ingredient matching

Optional Restaurant Intelligence Plugin

Restaurant food lookup
Menu analysis
Nutritional information retrieval
Menu-item comparison
Preference-aware restaurant recommendations
Goal-aware meal selection
Portion analysis
Restaurant history

Optional Grocery Intelligence Plugin

Grocery list generation
Food inventory tracking
Pantry tracking
Shopping history
Brand preference matching
Nutritional comparison
Price-aware substitutions
Commonly purchased food recommendations

Optional Barcode and Product Recognition Plugin

Barcode scanning
Packaged food identification
Product matching
Brand identification
Nutrition label retrieval
Product history
User confirmation
Alternative product recommendations

Optional Wearable Intelligence Plugin

Wearable activity synchronization
Heart-rate synchronization
Sleep data synchronization
Activity intensity analysis
Workout detection
Recovery data integration
Device provenance

Optional Advanced Health Device Plugin

Connected glucose device integration
Blood pressure device integration
Pulse oximeter integration
Additional health measurement synchronization
Measurement history
Device provenance
User confirmation
Data-quality indicators

Optional Professional Portal Plugin

Professional accounts
User-authorized record access
Professional dashboards
Shared health summaries
Laboratory review
Nutrition review
Exercise review
Recommendation review
Commenting and feedback
Access expiration
Permission management
Audit history

Optional Household Plugin

Household profile management
Shared-device support
Individual authentication
Household-level controls
Optional shared food inventories
Optional shared meal planning
Strict separation of individual health information
User-controlled household sharing

Optional Advanced Analytics Plugin

Extended trend analysis
Pattern discovery
Long-term comparisons
Multi-variable analysis
Correlation exploration
Data visualization
Custom analytical periods
Historical comparison
User-defined metrics

Optional Research and Data Export Plugin

Research-oriented exports
De-identified export options
Custom data selection
Custom date ranges
Structured datasets
Provenance preservation
Export validation
User-controlled authorization

Optional AI Model Plugin Framework

Replaceable AI providers
Local AI models
Remote AI models
Model selection
Model-specific permissions
Model provenance
AI output comparison
User-controlled model configuration
AI provider neutrality
Fallback models
Human review workflows

Optional Notification and Reminder Plugin

Meal reminders
Exercise reminders
Hydration reminders
Measurement reminders
Laboratory follow-up reminders
Goal reminders
Program reminders
User-defined reminders
Notification preferences
Quiet periods

Optional Accessibility Plugin

Voice-first interaction
Screen-reader support
Large-text interfaces
High-contrast interfaces
Alternative input methods
Reduced-motion options
Accessible data visualizations
Custom interaction preferences

Optional Community and Knowledge Plugin

Educational health information
Nutrition education
Fitness education
Source references
Evidence summaries
User-selected educational topics
Source provenance
Clear distinction between education and personalized medical advice

Specification Branding License (SBL)

Standard

Fully AGPL-3.0+ compliant system
Copyleft enforced for network deployments
Required attribution:
- Roxanne Ardary
- https://www.roxanneardary.com/

Optional

Specification Branding License (SBL)
- Attribution-free commercial deployment
- Pricing based on scale, usage, and deployment scope
- https://roxanneardary.com/vitalpattern/

License & Notice Requirements

VitalPattern is released under the GNU Affero General Public License v3.0 or later (AGPL-3.0+).
By contributing to any Open Arsenal project, you agree that your contributions will also be released under this license.

Please note the following:

All contributions must comply with the AGPL-3.0+ terms.
Under Section 7 of the license, all redistributions, forks, and derivative works must preserve attribution to:
Roxanne Ardary and roxanneardary.com.
VitalPattern specifications are free to use with attribution. A Specification Branding License can be negotiated upon request.
The project’s notice.md file tracks attribution requirements and contributor acknowledgments.
Any update that adds new contributors or modifies attribution should also update notice.md.
When submitting a pull request, ensure that any new files maintain the attribution headers where applicable.
Network-deployed versions of this software must also remain fully AGPL-3.0+ compliant, including exposure of source code modifications when applicable under the license.

For full legal details, please refer to the AGPL-3.0+ license and the project’s notice.md file.

Notice – VitalPattern

Attribution Requirement: Under Section 7 of the AGPL 3.0+ license, all redistributions, forks, and derivative works, including network-deployed versions of this project, must provide attribution to Roxanne Ardary and roxanneardary.com.

Contributors

This file tracks contributors and their specific contributions to the project.

Roxanne Ardary, roxanneardary.com – September 23, 2026
Created the repository for VitalPattern. Created the VitalPattern specification for bringing a user’s health patterns together across nutrition, fitness, health measurements, goals, and connected data.
[Add other contributors here] – [Date]
[Describe contribution in one sentence]

License – VitalPattern

This repository is licensed under the GNU Affero General Public License v3.0 or later (AGPL-3.0+).

Key Points:

You are free to use, modify, and distribute the code.
All redistributions, forks, and derivative works or network-deployed versions must also be licensed under AGPL-3.0+ and provide attribution to Roxanne Ardary and roxanneardary.com as required under Section 7 of the license.
The software is provided “as is,” without warranty of any kind.

For the full license text, see GNU AGPL-3.0 License.