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IntelliFeed Specification

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Specification Status

IntelliFeed is an open-source, modular, user-controlled feed engine specification for building transparent, explainable, configurable, privacy-conscious, and interoperable information distribution systems.

IntelliFeed is designed to provide users, creators, communities, organizations, and platform operators with meaningful control over how content is discovered, ranked, filtered, distributed, and presented.

The specification separates required core capabilities from optional plugin capabilities so implementations can remain modular while supporting different deployment environments and use cases.

Vision

Modern information platforms frequently centralize control over content distribution through opaque recommendation systems. IntelliFeed establishes an alternative model in which feed behavior is configurable, explainable, auditable, portable, and subject to user and community governance.

The system is designed to optimize information distribution according to user-defined priorities rather than treating engagement as the sole or primary objective.

IntelliFeed supports feeds optimized for relevance, discovery, learning, productivity, community participation, creator support, diversity, fairness, privacy, and digital well-being.

Design Principles

User-controlled algorithms
Transparent recommendations
Explainable ranking
Configurable feed composition
Fair creator distribution
Content diversity
Controlled discovery
Ethical AI
Privacy-first architecture
Data ownership
Algorithm portability
Platform interoperability
Community governance
Human oversight
Modular architecture
Open standards
Accessibility
Security
Auditability
Extensibility

Core Specification

Feed Composition Module

The Feed Composition Module SHALL provide the mechanisms required to construct a feed from multiple content sources.

The module SHALL support:

Following content
Discovery content
Trending content
Local content
Sponsored content
External content
Community content
User-defined content sources
Adjustable source weighting
Manual source prioritization
Source-specific limits
Source-specific filtering
Feed composition rules
Feed composition presets
Custom feed configurations

Users SHALL be able to determine the relative proportion or priority of supported feed sources.

The system SHALL preserve user-defined feed composition settings unless the user explicitly authorizes changes.

Feed Ranking Module

The Feed Ranking Module SHALL rank candidate content according to configurable factors.

Supported ranking factors MAY include:

Recency
User preferences
Relationship strength
Content relevance
Goal alignment
Creator preferences
Topic preferences
Content diversity
Creator diversity
Geographic relevance
Language relevance
Trust signals
Content quality
Discovery settings
Serendipity settings
Fairness constraints
User-defined priorities

Implementations SHALL make ranking factors configurable where technically appropriate.

The ranking system SHALL support deterministic ranking configurations where required for transparency, testing, auditing, and reproducibility.

Feed Mode Module

The Feed Mode Module SHALL provide predefined and custom modes for changing feed behavior.

Supported modes SHALL include:

Catch Up
Chronological
Explore
Discover
Learning
Business
Community
Local
Relax
Entertainment
Deep Dive
Work Mode
Focus Mode
Family Mode
Custom Mode

Each mode MAY define its own:

Feed weights
Ranking priorities
Content filters
Frequency limits
Discovery settings
Attention settings
Time-based rules
Well-being settings

Users SHALL be able to switch between available feed modes.

Feed Profile Module

The Feed Profile Module SHALL allow users to create reusable feed configurations.

Profiles SHALL support:

Feed weights
Ranking preferences
Content preferences
Creator controls
Frequency controls
Discovery settings
Serendipity settings
Advertising settings
Goal settings
Well-being settings
Accessibility settings
Privacy settings
Plugin configurations

The system SHALL support multiple feed profiles per user.

Profiles SHOULD support:

Import
Export
Duplication
Versioning
Sharing
Restoration
Comparison

Goal Personalization Module

The Goal Personalization Module SHALL allow users to define the purpose of their feed.

Supported goals SHALL include:

Learning
Productivity
Community participation
Creator support
Relaxation
Research
Business networking
News consumption
Local information
Personal interests

Goals MAY be weighted independently.

The ranking engine SHALL use approved goals as ranking signals without preventing users from overriding goal-based recommendations.

Frequency Management Module

The Frequency Management Module SHALL control how frequently creators, topics, categories, formats, and advertisements appear.

The module SHALL support:

Maximum posts per creator
Maximum consecutive posts per creator
Daily creator exposure limits
Weekly creator exposure limits
Topic frequency limits
Category frequency limits
Format frequency limits
Advertisement frequency limits
Duplicate detection
Repeat suppression
Creator fatigue prevention
Topic fatigue prevention
Format fatigue prevention

Frequency controls SHALL be applied during feed assembly and SHALL be independent from ranking scores.

Creator Control Module

The Creator Control Module SHALL provide user-level controls over individual creators.

Users SHALL be able to:

Boost creators
Limit creators
Favorite creators
Hide creators
Temporarily mute creators
Permanently filter creators
Group creators
Create creator collections
Assign creator priorities
Assign creator-specific frequency limits

Creator controls SHALL override ordinary ranking preferences where the user has explicitly configured a stronger restriction.

Fairness Module

The Fairness Module SHALL provide mechanisms for preventing excessive concentration of feed exposure.

The module SHALL support:

Small creator promotion
Creator diversity
Topic diversity
Geographic diversity
Community diversity
Language diversity
Exposure balancing
Anti-dominance controls
Viral saturation controls
New creator exposure
Anti-spam controls
Exposure equity analysis

Fairness rules SHALL be configurable according to platform requirements.

The system SHALL provide transparency regarding significant fairness interventions that affect feed ranking.

Relationship Module

The Relationship Module SHALL model relationships between users and creators or other accounts.

Supported relationship signals MAY include:

Following status
Interaction history
Communication history
Engagement history
Interaction recency
Favorite status
Trust relationships
User-defined relationship priority

Relationship signals SHALL remain subordinate to explicit user filtering and blocking decisions.

Content Intelligence Module

The Content Intelligence Module SHALL create structured metadata for content.

Content metadata MAY include:

Topics
Categories
Keywords
Mood
Tone
Sentiment
Format
Content depth
Estimated reading time
Educational value
Entertainment value
Creator intent
Audience intent
Accessibility information
Language
Geographic relevance
Content quality indicators

The module MAY use deterministic classification, machine learning, artificial intelligence, creator-provided metadata, community annotations, or combinations of these methods.

User Preference Module

The User Preference Module SHALL allow users to define content preferences.

Supported preferences SHALL include:

Topic weighting
Category weighting
Mood preferences
Content depth
Format preferences
Reading preferences
Video preferences
Audio preferences
Image preferences
Language preferences
Local content preferences
Educational content weighting
Entertainment content weighting
Long-form content weighting
Short-form content weighting

Users SHALL be able to modify or remove preferences.

Discovery Module

The Discovery Module SHALL provide mechanisms for introducing users to content and creators outside their existing network.

Supported discovery types SHALL include:

New creators
Similar interests
Local content
Communities
Emerging creators
Experts
Educational content
Related topics
Hidden or lesser-known content

Discovery exposure SHALL be controlled by user-defined discovery settings.

Serendipity Module

The Serendipity Module SHALL introduce controlled variation into recommendations.

Supported settings SHALL include:

No exploration
Safe exploration
Moderate exploration
Wild exploration
User-defined exploration

The module MAY reduce recommendation homogeneity and increase exposure to unfamiliar topics, creators, communities, languages, or viewpoints.

Users SHALL retain the ability to disable or restrict serendipitous recommendations.

Time-Aware Feed Module

The Time-Aware Feed Module SHALL allow feed behavior to change according to time or user-defined schedules.

Supported configurations MAY include:

Morning profiles
Afternoon profiles
Evening profiles
Weekend profiles
Seasonal profiles
Holiday profiles
Event-aware profiles
User-defined schedules

Users SHALL control whether time-based adaptation is enabled.

Memory Module

The Memory Module SHALL track content exposure to improve feed quality and prevent unnecessary repetition.

Supported memory functions SHALL include:

Viewed-content tracking
Viewed-creator tracking
Recommendation history
Content history
Session awareness
Topic exposure history
Creator exposure history
Duplicate prevention
Cross-device synchronization

Privacy settings SHALL determine what information is retained.

Knowledge Graph Module

The Knowledge Graph Module SHALL represent relationships between users, topics, concepts, creators, content, and learning progression.

Supported capabilities SHALL include:

Learning history
Subject progression
Knowledge mapping
Topic relationships
Knowledge gaps
Topic mastery
Related-topic discovery
Recommendation progression

The module SHALL support user-controlled data export and deletion.

Learning Path Module

The Learning Path Module SHALL support structured content progression.

Supported progression levels SHALL include:

Beginner
Intermediate
Advanced
Expert

The module MAY generate personalized sequences based on user goals, prior exposure, demonstrated knowledge, and selected subjects.

Users SHALL be able to modify or disable automated learning progression.

AI Assistant Module

The AI Assistant Module SHALL provide natural-language controls for feed configuration.

Supported requests MAY include:

Show me less of this
Show me more of this
Reduce advertisements
Increase discovery
Prioritize educational content
Improve feed balance
Reduce repetition
Increase creator diversity
Explain this recommendation
Suggest feed improvements

The AI assistant SHALL identify proposed configuration changes before applying significant changes.

Users SHALL be able to approve, reject, modify, or undo AI-generated feed changes.

Explainability Module

The Explainability Module SHALL provide understandable explanations for recommendation decisions.

Explanations MAY identify:

Why content appeared
Which feed source supplied the content
Which user preferences influenced ranking
Which interactions influenced ranking
Which goals influenced ranking
Which ranking factors were applied
Recommendation confidence
Recommendation source
Content provenance
Fairness interventions

The system SHALL provide users with an accessible explanation of significant recommendation decisions.

Feed Analytics Module

The Feed Analytics Module SHALL provide users with visibility into their feed.

Supported metrics SHALL include:

Feed composition
Creator distribution
Category distribution
Topic distribution
Advertisement exposure
Time spent
Engagement quality
Diversity score
Balance score
Discovery exposure
Recommendation statistics
Creator exposure
Historical feed statistics

Analytics SHALL distinguish between system-generated recommendations and user-defined feed rules where applicable.

Feed Versioning Module

The Feed Versioning Module SHALL preserve historical feed configurations.

Supported capabilities SHALL include:

Feed snapshots
Feed rollback
Feed comparison
Historical feed replay
Preference history
Configuration history
Algorithm configuration history
Profile versioning
Configuration restoration

Users SHALL be able to restore previous configurations.

Sandbox Module

The Sandbox Module SHALL allow users and administrators to test feed configurations without immediately changing production behavior.

Supported capabilities SHALL include:

Feed simulation
Algorithm testing
Recommendation previews
Preference experimentation
Before-and-after comparisons
Configuration testing
Feed outcome forecasting
Experimental profiles

Sandbox results SHALL be distinguishable from production feed results.

Creator Modules

Creator Analytics Module

The Creator Analytics Module SHALL provide creators with information about content distribution.

Supported metrics SHALL include:

Audience growth
Feed exposure
Visibility trends
Reach
Discovery exposure
Recommendation exposure
Engagement quality
Retention
Community participation
Audience demographics where permitted
Geographic reach
Topic performance
Audience overlap

Creator Intelligence Module

The Creator Intelligence Module MAY provide:

Posting recommendations
Publishing schedule optimization
Topic saturation detection
Duplicate-content warnings
Community health summaries
Audience overlap analysis
Content performance analysis
Audience interest analysis
Content fatigue detection
Creator reputation analysis

Creator Intent Module

Creators SHALL be able to provide structured information about content intent.

Supported creator intent types MAY include:

Personal
Educational
Informational
Announcement
Discussion
Promotional
Entertainment
Community
Important update

Creator-provided intent SHALL be treated as a signal rather than an unconditional ranking command.

Information Quality Modules

Source Intelligence Module

The Source Intelligence Module SHALL provide source-level information.

Supported capabilities MAY include:

Source credibility indicators
Publisher verification
Citation support
Original-source identification
Source diversity metrics
Publication history
Source comparison
Source context
Source reputation

Content Provenance Module

The Content Provenance Module SHALL preserve information about content origin and transformation.

Supported capabilities SHALL include:

Original-author tracking
Content lineage
Edit history
Version history
Revision comparison
Reshare attribution
Original-source identification
Transformation history

Trust and Verification Module

The Trust and Verification Module SHALL support multiple forms of verification.

Supported verification types MAY include:

Community verification
Expert verification
Organization verification
Subject-matter expertise
Reputation history
Source verification
Content verification

Verification status SHALL be distinguishable from recommendation ranking.

Community Notes Module

The Community Notes Module SHALL support collaborative contextualization.

Supported capabilities SHALL include:

Collaborative annotations
Fact notes
Additional context
Supporting references
Multiple viewpoints
Correction history
Community review
Note transparency

AI Information Assistance Module

The AI Information Assistance Module MAY provide:

Summaries
Duplicate-topic detection
Context generation
Translation
Topic clustering
Semantic analysis
Content comparison
Related-content discovery
Information synthesis

AI-generated information SHALL be clearly identified.

Community Modules

Community Feed Module

The Community Feed Module SHALL support community-specific information environments.

Supported capabilities SHALL include:

Community feeds
Community feed configuration
Community discovery
Community-specific recommendation rules
Community content policies
Community participation tracking

Community Governance Module

The Community Governance Module SHALL support:

Moderator controls
Feed-policy voting
Community policy creation
Policy versioning
Governance transparency
User participation
Appeals
Community moderation policies

Community Analytics Module

The Community Analytics Module MAY provide:

Participation analysis
Engagement quality
Community health
Growth trends
Retention metrics
Member activity
Content diversity
Community distribution

Advertising Module

The Advertising Module SHALL support user-controlled sponsored content.

Supported capabilities SHALL include:

Advertisement weighting
Advertisement frequency caps
Advertisement category preferences
Advertisement category blocking
Sponsored-content labeling
Sponsored-content transparency
Advertisement exposure analytics
Advertisement diversity controls
Advertisement relevance scoring
User-defined advertisement limits
Recommendation explanations for advertisements

Sponsored content SHALL remain distinguishable from organic content.

The system SHALL support configurations where users can minimize or eliminate sponsored content when permitted by the deployment model.

Attention and Well-Being Module

The Attention and Well-Being Module SHALL provide mechanisms for healthier content consumption.

Supported capabilities SHALL include:

User-defined attention budgets
Daily feed-time limits
Session-time awareness
Doomscrolling indicators
Content fatigue detection
Emotional-intensity controls
Feed pacing
Break reminders
Reduced-intensity modes
Slow-feed mode
Infinite-scroll alternatives
Well-being analytics

Well-being features SHALL remain user-configurable.

Trust and Reputation Module

The Trust and Reputation Module SHALL support transparent reputation signals.

Supported capabilities MAY include:

Creator reputation
Community reputation
Source reputation
Expertise indicators
Accuracy history
Community feedback
Reputation transparency
Accountability records
Reputation explanations
Trust-network analysis
Reputation history

Reputation signals SHALL not automatically constitute factual determinations.

Algorithm Marketplace Module

The Algorithm Marketplace Module SHALL allow users and organizations to publish and exchange feed configurations.

Supported capabilities SHALL include:

Shareable feed algorithms
Public configurations
Private configurations
Followable algorithms
Algorithm cloning
Algorithm customization
Algorithm versioning
Algorithm ratings
Algorithm reviews
Algorithm attribution
Algorithm discovery
Publishing controls

Published configurations SHALL disclose their applicable settings and dependencies.

Transparency and Research Modules

Algorithm Transparency Module

The Algorithm Transparency Module SHALL provide:

Recommendation explanations
Ranking visualization
Algorithm version history
Feed composition reports
Decision traceability
Ranking-factor visibility
Configuration transparency

Fairness Audit Module

The Fairness Audit Module SHALL provide:

Creator exposure reports
Diversity metrics
Bias detection
Equity analysis
Recommendation fairness analysis
Small-creator analytics
Exposure disparity detection
Distribution audits

Research Module

The Research Module MAY support:

Anonymous datasets
Aggregate analytics
Longitudinal studies
Research exports
Comparative analysis
Privacy-preserving research
Controlled research access

Research functions SHALL comply with applicable privacy requirements and deployment policies.

Transparency Reporting Module

The Transparency Reporting Module SHALL support:

Platform reports
Recommendation statistics
Distribution reports
Moderation reports
System performance reports
Advertising distribution reports
Fairness reports
Algorithm change reports

Experimentation Module

The Experimentation Module SHALL support:

Consent-based testing
Feed simulation
Policy testing
Rollback
Controlled experiments
Experiment transparency
Experiment history
User participation controls

Governance Module

The Governance Module SHALL provide mechanisms for accountable management of feed policies and algorithm configurations.

Supported capabilities SHALL include:

Audit logging
Policy history
Compliance reporting
Privacy reporting
Data governance
Algorithm governance
Configuration governance
Administrative accountability
Policy versioning
Decision records
User appeals
Algorithm change notifications
Configuration consent

Privacy Module

The Privacy Module SHALL provide:

Privacy-first architecture
User-owned preferences
Exportable feed profiles
Importable feed profiles
Local processing support
Granular privacy controls
Permission management
Secure synchronization
Encryption support
Data minimization
Privacy-preserving personalization
User-controlled data retention
Data portability
Data deletion controls

Implementations SHOULD support local-first processing where practical.

Security Module

The Security Module SHALL provide mechanisms for protecting users, creators, administrators, and system infrastructure.

Supported capabilities SHALL include:

Authentication integration
Authorization controls
Permission management
Rate limiting
Encryption support
Security auditing
Audit logging
Abuse reporting
Account protection
Administrative security controls
Data integrity controls

Abuse Prevention Module

The Abuse Prevention Module SHALL support:

Spam detection
Bot detection
Coordinated-abuse detection
Recommendation manipulation detection
Recommendation abuse prevention
Rate limiting
Content integrity checks
Abuse reporting
Moderation integration

Data Ownership Module

The Data Ownership Module SHALL provide users with control over their feed-related data.

Supported capabilities SHALL include:

Feed-profile ownership
Algorithm configuration export
Preference export
Preference import
Content-history export
Analytics export
Portable user profiles
Data deletion
Data retention controls
Cross-platform migration

Enterprise Modules

Enterprise Communication Module

Supported capabilities SHALL include:

Internal communication feeds
Department feeds
Team collaboration
Executive announcements
Project updates
Organizational knowledge sharing
Internal discovery
Priority announcements

Enterprise Administration Module

Supported capabilities SHALL include:

Administrative dashboards
Department customization
Role-based feeds
Enterprise governance
Compliance controls
Content lifecycle management
Organization-wide feed policies
Permission-based feed controls
Administrative auditing

Organizational Knowledge Module

Supported capabilities SHALL include:

Intelligent document discovery
Organizational knowledge graphs
Expertise discovery
Training recommendations
Knowledge sharing
Best-practice distribution
Internal research discovery
Institutional knowledge preservation

Customer Community Module

Supported capabilities SHALL include:

Customer engagement
Support communities
Product announcements
Documentation feeds
Customer-success portals
Customer feedback distribution
Customer discovery

Interoperability Module

The Interoperability Module SHALL support integration with external information systems.

Supported capabilities SHALL include:

Open APIs
Portable feed profiles
Cross-platform synchronization
Federated communities
Open standards
Platform interoperability
Portable preferences
Portable recommendation configurations
External identity integration
Federated feed policies

Accessibility Module

The Accessibility Module SHALL support:

Screen readers
Keyboard navigation
High-contrast modes
Adjustable typography
Reduced motion
Cognitive accessibility
Accessibility presets
Multi-language interfaces
Alternative content formats
User-defined accessibility preferences

Performance Module

The Performance Module SHALL support scalable feed generation.

Supported capabilities SHALL include:

Distributed processing
High-performance recommendation processing
Intelligent caching
Real-time feed generation
Offline support
Cross-device synchronization
Candidate-pool optimization
Incremental feed generation
Resource-aware processing
Configurable performance profiles

Optional Plugin Modules

IntelliFeed SHALL support an extensible plugin architecture.

Plugins MAY extend the core system without modifying core feed behavior.

AI Plugin

Provides alternative AI models, providers, classifiers, summarizers, semantic systems, and recommendation assistants.

Discovery Plugin

Provides specialized discovery sources, recommendation providers, topic engines, or external discovery services.

Analytics Plugin

Provides specialized analytics, dashboards, reporting systems, visualization, or research tools.

Advertising Plugin

Provides optional advertising providers, sponsored-content systems, campaign management, and advertising analytics.

Local Discovery Plugin

Provides local events, businesses, organizations, geographic content, and community information.

News Plugin

Provides external news sources, news classification, source comparison, article aggregation, and news-specific ranking.

Education Plugin

Provides educational sources, learning systems, curriculum integration, course discovery, and learning progression.

Enterprise Plugin

Provides enterprise identity, collaboration, organizational data, internal feeds, and enterprise administration.

Community Plugin

Provides specialized community governance, moderation, voting, community analytics, and community discovery.

Trust Plugin

Provides optional verification providers, reputation systems, source intelligence, and credibility services.

Provenance Plugin

Provides external provenance systems, content lineage providers, verification networks, and attribution services.

Accessibility Plugin

Provides additional accessibility tools, assistive technologies, alternative interfaces, and specialized presentation systems.

Federation Plugin

Provides integration with compatible federated platforms, communities, protocols, and external feed systems.

Storage Plugin

Provides alternative storage systems, local storage, distributed storage, encrypted storage, or external databases.

Research Plugin

Provides controlled research access, anonymized datasets, academic integrations, experiment systems, and research exports.

Well-Being Plugin

Provides specialized attention management, digital well-being analysis, pacing systems, and user wellness controls.

Governance Plugin

Provides specialized voting, policy management, community governance, auditing, compliance, and accountability systems.

Integration Plugin

Provides connectors for external platforms, APIs, RSS sources, content systems, communication platforms, and knowledge systems.

Plugin Requirements

Plugins SHALL:

Declare their capabilities
Declare their permissions
Declare their dependencies
Respect user privacy settings
Respect applicable feed constraints
Respect user blocking and filtering decisions
Provide configuration controls
Identify external data sources
Avoid unauthorized modification of core settings
Support safe removal where technically possible

Plugins SHOULD be independently configurable.

Plugins MUST NOT silently override explicit user restrictions.

Core Feed Processing Model

An IntelliFeed implementation SHOULD process content through the following logical stages:

Source collection
Candidate generation
Content analysis
Preference matching
Relationship analysis
Trust and quality analysis
Goal alignment
Ranking
Frequency enforcement
Diversity enforcement
Fairness enforcement
Source interleaving
Explainability generation
Feed assembly
Analytics recording
User presentation

The stages MAY be implemented as independent services, modules, processes, or functions.

User Governance Model

The user SHALL remain the primary authority over personal feed configuration.

The system SHALL provide mechanisms for:

Explicit preferences
Explicit exclusions
Frequency controls
Source controls
Creator controls
Discovery controls
Advertising controls
AI approval
Privacy controls
Data export
Data deletion
Feed configuration restoration

Platform-level policies MAY impose additional constraints where required by law, security, safety, or deployment requirements.

Ethical Design Requirements

IntelliFeed implementations SHOULD avoid optimizing exclusively for:

Time spent
Continuous scrolling
Emotional provocation
Outrage
Fear
Compulsive engagement
Repetitive exposure
Manipulative notifications

Implementations SHOULD support:

User agency
Meaningful choice
Transparency
Content diversity
Healthy engagement
Explainable recommendations
Human oversight
Configurable discovery
User-controlled pacing

Technical Requirements

Implementations SHOULD provide:

Modular components
Stable interfaces
Configurable ranking systems
Portable feed profiles
API support
Plugin support
Auditability
Observability
Secure synchronization
Data portability
Privacy controls
Accessibility support
Interoperability

The specification SHALL remain implementation-independent and SHALL not require a specific programming language, database, cloud provider, artificial intelligence provider, hosting platform, or infrastructure architecture.

Deployment Models

IntelliFeed MAY be deployed as:

A social media feed engine
A community platform
An enterprise communication system
A knowledge platform
An educational platform
A research platform
A government information system
A nonprofit community platform
An open-source community system
A content aggregation platform
A federated information service
A standalone recommendation engine
An embeddable feed service

API and Developer Requirements

Implementations SHOULD provide APIs for:

Feed retrieval
Feed configuration
Feed profiles
User preferences
Creator controls
Content metadata
Recommendation explanations
Analytics
Provenance
Trust signals
Plugin management
Data export
Data import
Governance
Auditing

Developer interfaces SHOULD support versioning and backward compatibility.

Performance Requirements

Implementations SHOULD support:

Low-latency feed generation
Candidate caching
Incremental ranking
Distributed processing
Horizontal scaling
Offline operation where applicable
Cross-device synchronization
Efficient exposure tracking
Efficient frequency enforcement

Performance optimizations MUST NOT silently override explicit user controls.

Accessibility Requirements

Accessibility SHALL be treated as a core system capability rather than an optional afterthought.

Implementations SHOULD support:

Screen readers
Keyboard operation
Adjustable text
High contrast
Reduced motion
Cognitive accessibility
Alternative media formats
Multi-language interfaces
Accessible explanations
Accessible feed controls

Security Requirements

Implementations SHALL protect:

User preferences
Feed profiles
Personal data
Creator information
Authentication credentials
Administrative controls
Audit records
Private algorithms
Plugin permissions

Security controls SHOULD include:

Encryption
Access controls
Authentication
Authorization
Rate limiting
Audit logging
Data integrity validation
Secure synchronization

IntelliFeed

Scroll smarter. Feel better.

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/intellifeed/

🔐 License & Notice Requirements

IntelliFeed is released under the GNU Affero General Public License v3.0 or later (AGPL-3.0+).

By contributing to this 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.
IntelliFeed 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 – IntelliFeed

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 – March 21, 2026
Created the repository for IntelliFeed. Developed the core user-controlled, transparent, and adaptive social feed engine that prioritizes user agency, content balance, fairness, well-being, and ethical design.
[Add other contributors here] – [Date]
[Describe contribution in one sentence]

License – IntelliFeed

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, derivative works, and 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 .