selfdriven On-Boarding
  • Start
  • Steps
    • 1. Discovery
    • 2. Getting Started
    • 3. Design
    • 4. Planning
    • 5. Facilitator On-Boarding
    • 6. Build
    • 7. Community On-Boarding
    • 8. Reflection
  • Framework
    • Context (5W1H)
    • Structures
    • Management
    • Trust
    • Resources
    • Diagrams
  • Design
    • 1. Identity
    • 2. Information integrity, confidentiality & availability
    • 3. Information/value exchange
    • 4. Responsive interfaces
    • 5. Intelligence is maximised
    • 6. Incentives are aligned
    • 7. Reflective
    • 8. Trust
  • Perspectives
    • Community Facilitator
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Design

Eight key design elements / layers as the foundational layers to build trust in society, communities & systems.

PreviousDiagramsNext1. Identity

Last updated 1 month ago

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Name
Summary

1

Identity

  • Foundation for trust

  • Unique ID for all entities, organic (human) and inorganic (documents, intelligence agents etc)

  • entityOS.cloud as issuer of unique id for all entities, including cryptographic keys.

  • Self-Sovereign Identity (SSI) compatible.

  • Self-Sovereign Identity (SSI) Decentralised IDs (DIDs) issued based on cryptographic keys (ed22519).

2

Information integrity, confidentiality & availability

  • For all entities/identities in the ecosystem.

  • Validity of external events information that is used as basis for trust and information / value exchanges - eg geo data

  • Private information to be encrypted using cryptographic keys of identities that the data relates to and stored.

  • Public information, including proofs of private data to be stored on-chain on the Cardano network.

3

Information / value exchange

  • Direct - fast and frictionless

  • Value information (e.g. payments) between identities to be completed using cryptographic keys using the Cardano network.

  • Informal chat with agents, organic (human) and/or inorganic (AI) to be via AT Protocol using SSI DIDs and personal data store.

4

Responsive interfaces

  • Human UX / UI is reactive, reflective, dynamic, generative, realtime.

  • UI driven by definitions (templates) - generated by design or real-time interactions/events.

  • AI interfaces using model-context-protocol (MCP) & Agent2Agent (A2A).

5

Intelligence is maximised

  • Use of inorganic intelligence (AI) to analysis.

  • Inorganic intelligence integration via selfdriven.ai services.

  • Summarised data available as Model-Context-Protocol resource to enable AI Agent based analysis.

6

Incentives are aligned

  • Incentives designed to enable ecosystem self-energising.

  • Tokens to be stored cryptographically using Cardano network as fungible and non-fungabile tokens using Cardano network policy definitions.

  • Tokenomics to reward value created by entities/identities within the ecosystem.

7

Reflective

  • Systems can self-improve via human experience feedback and inorganic intelligence (AI) based analysis.

  • The system will include a governance framework,

  • Governance framework will be linked to incentives system - the more energy (active/passive) committed to the ecosystem (represented by tokens), the more influence in governance decisions/actions.

8

Trust

  • Issued as SSI Verifiable Credentials (VCs).

  • Private information to be encrypted using cryptographic keys of identities that the data relates to and stored.

  • Public information, including proofs of private data to be stored on-chain on the Cardano network.



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8 Design Elements Layered to Create Trust in Society / Systems