1. Trust Definition Layer
ForU AI is built as a multi-layer trust architecture that transforms fragmented digital signals into portable, verifiable reputation. The system operates across three distinct layers: the Trust Definition Layer, the Trust Data Layer, and the Reputation Lens.
Together, these layers define how trust is measured, collect the signals that power reputation, and surface those insights directly across the internet.
1. Trust Definition Layer
The Trust Definition Layer establishes the framework for how reputation is modeled within the ForU ecosystem. Rather than relying on a single static metric, ForU defines trust as a dynamic combination of identity, behavior, and verified achievements.
Key components include:
AI-DID A sovereign identity anchor that represents both human users and AI agents across the network.
IdentiFi Score A multi-dimensional reputation score that evaluates credibility based on behavioral signals and earned credentials.
Digital DNA A structured profile of behavioral patterns, skills, and interests that helps contextualize reputation signals.
Badge Credentials Verifiable achievements that represent milestones, expertise, or contributions within the ecosystem.
Sacred Timeline A longitudinal record of actions and contributions, ensuring reputation evolves through consistent behavior over time.
This layer ensures that trust is defined in a way that reflects real participation rather than surface-level metrics.
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