diff --git a/docs/Images/AgenticLayer.png b/docs/Images/AgenticLayer.png deleted file mode 100644 index 5a598a0..0000000 Binary files a/docs/Images/AgenticLayer.png and /dev/null differ diff --git a/docs/Images/Comparingenterprisesindividuals.png b/docs/Images/Comparingenterprisesindividuals.png deleted file mode 100644 index 6a9fcd4..0000000 Binary files a/docs/Images/Comparingenterprisesindividuals.png and /dev/null differ diff --git a/docs/Images/ConsentLegaleseDataAssets.png b/docs/Images/ConsentLegaleseDataAssets.png deleted file mode 100644 index 1b68f6d..0000000 Binary files a/docs/Images/ConsentLegaleseDataAssets.png and /dev/null differ diff --git a/docs/Images/ConsentedCapital.png b/docs/Images/ConsentedCapital.png deleted file mode 100644 index af9e534..0000000 Binary files a/docs/Images/ConsentedCapital.png and /dev/null differ diff --git a/docs/Images/ConsentedData.png b/docs/Images/ConsentedData.png deleted file mode 100644 index f346f58..0000000 Binary files a/docs/Images/ConsentedData.png and /dev/null differ diff --git a/docs/Images/ConsentedDataAssets.png b/docs/Images/ConsentedDataAssets.png deleted file mode 100644 index ffc319f..0000000 Binary files a/docs/Images/ConsentedDataAssets.png and /dev/null differ diff --git a/docs/Images/DataAssetization.png b/docs/Images/DataAssetization.png deleted file mode 100644 index ffc319f..0000000 Binary files a/docs/Images/DataAssetization.png and /dev/null differ diff --git a/docs/Images/DataHiveIntractQuestBanner.png b/docs/Images/DataHiveIntractQuestBanner.png deleted file mode 100644 index 73bd87a..0000000 Binary files a/docs/Images/DataHiveIntractQuestBanner.png and /dev/null differ diff --git a/docs/Images/DataOwnFuture.png b/docs/Images/DataOwnFuture.png deleted file mode 100644 index 7d9b5be..0000000 Binary files a/docs/Images/DataOwnFuture.png and /dev/null differ diff --git a/docs/Images/DataSpending.png b/docs/Images/DataSpending.png deleted file mode 100644 index f0cdba3..0000000 Binary files a/docs/Images/DataSpending.png and /dev/null differ diff --git a/docs/Images/FacilitatedInteractions.png b/docs/Images/FacilitatedInteractions.png deleted file mode 100644 index 14fe398..0000000 Binary files a/docs/Images/FacilitatedInteractions.png and /dev/null differ diff --git a/docs/Images/LN1.png b/docs/Images/LN1.png deleted file mode 100644 index 654232c..0000000 Binary files a/docs/Images/LN1.png and /dev/null differ diff --git a/docs/Images/LNs.png b/docs/Images/LNs.png deleted file mode 100644 index 25d97e5..0000000 Binary files a/docs/Images/LNs.png and /dev/null differ diff --git a/docs/Images/NodeClusters.png b/docs/Images/NodeClusters.png deleted file mode 100644 index 457c2f0..0000000 Binary files a/docs/Images/NodeClusters.png and /dev/null differ diff --git a/docs/Images/NodeOperationsCycle.png b/docs/Images/NodeOperationsCycle.png deleted file mode 100644 index f660e67..0000000 Binary files a/docs/Images/NodeOperationsCycle.png and /dev/null differ diff --git a/docs/Images/NodeTypes.png b/docs/Images/NodeTypes.png deleted file mode 100644 index ae21075..0000000 Binary files a/docs/Images/NodeTypes.png and /dev/null differ diff --git a/docs/Images/NucleusClusters.png b/docs/Images/NucleusClusters.png deleted file mode 100644 index 6f14853..0000000 Binary files a/docs/Images/NucleusClusters.png and /dev/null differ diff --git a/docs/Images/OpenWebDying.png b/docs/Images/OpenWebDying.png deleted file mode 100644 index 87529bb..0000000 Binary files a/docs/Images/OpenWebDying.png and /dev/null differ diff --git a/docs/Images/ThirdPartyData.png b/docs/Images/ThirdPartyData.png deleted file mode 100644 index f119f2f..0000000 Binary files a/docs/Images/ThirdPartyData.png and /dev/null differ diff --git a/docs/Images/WalledGardenData.png b/docs/Images/WalledGardenData.png deleted file mode 100644 index 1e1336e..0000000 Binary files a/docs/Images/WalledGardenData.png and /dev/null differ diff --git a/docs/Tokenomics.md b/docs/Tokenomics.md deleted file mode 100644 index 319fbd2..0000000 --- a/docs/Tokenomics.md +++ /dev/null @@ -1,61 +0,0 @@ -# Tokenomics of DataHive - -![Comparing Enterprises and Individuals](../docs/Images/Comparingenterprisesindividuals.png) - -The **DataHive Token (DH)** powers a dynamic ecosystem where enterprises and individuals can participate in secure, compliant data exchange while ensuring privacy and ownership rights. - -## Token Flow by Participant Type - -### Enterprises -- **Spend DH tokens to**: - - Purchase or license consumer data directly from users - - Access high-resolution consumer insights - - Deploy targeted marketing campaigns -- **Earn DH tokens by**: - - Selling their own packaged data assets - - Offering valuable consumer insights - - Contributing to the ecosystem's intelligence and knowledge models - -### Individuals -- **Earn DH tokens by**: - - Packaging and selling data assets - - Licensing data rights - - Setting granular permissions for data usage -- **Control their data through**: - - Selective data sharing options - - Revenue-sharing in downstream uses - -### Developers -- **Spend DH tokens to**: - - Access intelligence and knowledge models - - Utilize network APIs and services - - Deploy applications on the network -- **Earn DH tokens by**: - - Creating applications and tools - - Contributing to ecosystem development - - Building new data assetization solutions -- [Learn more about Developer Economics](./docs/DeveloperTokenomics.md) - -### Node Operators - -![Node Operations Cycle](../docs/Images/NodeOperationsCycle.png) - -- **Legalese Nodes**: Earn by developing and maintaining DataHive's legal intelligence -- **Consent Nodes**: Earn by developing and maintaining the network's consent intelligence -- **Data Assetization Nodes**: Earn by developing and maintaining agentic marketplaces -- **Data Securitization Nodes**: Earn by processing data assets into securities -- [Learn more about Node Tokenomics](./docs/NodeTokenomics.md) - -## Regenerative Economics - -DataHive's tokenomics emphasizes sustainable growth through: -- Continuous value creation through data generation and data assetization -- External capital inflows from pure users of the network -- Self-sustaining cryptoeconomic mechanisms -- [Learn more about our Economic Design](./docs/RegenerativeEconomics.md) - -For detailed information about specific participant types and their roles in the ecosystem: -- [Enterprise Token Usage](./docs/EnterpriseTokens.md) -- [Individual Token Usage](./docs/IndividualTokens.md) -- [Developer Token Usage](./docs/DeveloperTokenomics.md) -- [Node Operator Economics](./docs/NodeEconomics.md) diff --git a/docs/ai-inner-monologue.md b/docs/ai-inner-monologue.md deleted file mode 100644 index 9c1675f..0000000 --- a/docs/ai-inner-monologue.md +++ /dev/null @@ -1,31 +0,0 @@ -# AI as an Intimate Inner Monologue - -## Description - -In the DataHive ecosystem, we envision AI as more than just a tool; we see it as an intimate partner in your decision-making processes. Much like your inner thoughts, this AI learns from your habits, preferences, and interactions, offering personalized insights and recommendations tailored specifically to you. - -The AI is designed to function as a **computational extension of your inner monologue**—a trusted companion that helps you navigate complex decisions while respecting your privacy. It operates directly on your device, ensuring that your data remains secure and private at all times. - -## Key Features - -- **Personalized Learning**: Your AI adapts to your unique preferences, providing insights based on how you think and what you value. Over time, it becomes more attuned to your needs, helping you make decisions that align with your goals. - -- **Privacy-Centric**: The AI operates on your device, ensuring that all interactions remain private and secure. Unlike cloud-based systems that store data externally, DataHive’s AI processes everything locally, untouched by external influence or surveillance. - -- **Seamless Integration**: The AI connects effortlessly with other components of the DataHive ecosystem, such as decentralized nodes and blockchain networks. This allows it to enhance its capabilities while respecting your data autonomy and ensuring compliance with global privacy regulations. - -## Benefits - -- **Enhanced Decision-Making**: With AI functioning as an extension of your thoughts, your decision-making process becomes more informed and intuitive. Whether it's legal decisions or personal goals, the AI provides valuable insights based on your unique context. - -- **Emotional Resonance**: The AI's adaptability fosters a deeper emotional connection, creating a computational ally that aligns with your values and aspirations. It’s not just about data processing—it’s about creating an AI that resonates with who you are. - -- **Empowered Control**: You maintain complete control over your AI. It serves your interests first and foremost, ensuring that no third parties can access or manipulate your data. - -## Examples - -Imagine a situation where you are faced with a series of choices—whether it’s legal decisions, personal goals, or daily tasks. Your AI, understanding your context and preferences, can provide wise counsel, helping you make choices that resonate with your inner self. - -For example: -- If you're navigating a legal agreement, the AI can offer insights based on past interactions and legal frameworks within the DataHive ecosystem. -- If you're setting personal goals or making financial decisions, the AI can suggest options that align with both short-term needs and long-term aspirations. diff --git a/docs/blockchain-integration.md b/docs/blockchain-integration.md deleted file mode 100644 index 749ccc7..0000000 --- a/docs/blockchain-integration.md +++ /dev/null @@ -1,37 +0,0 @@ -# Blockchain Integration - -## Description - -Blockchain integration is a cornerstone of the DataHive ecosystem, enabling secure, transparent, and decentralized interactions. At its core, DataHive utilizes blockchain technology to empower users with control over their data while ensuring compliance with legal frameworks. This integration not only enhances the overall security of data transactions but also promotes trust and accountability within the network. - - -![Blockchain Integration](./Images/LN1.png) - -By leveraging blockchain, DataHive decentralizes data ownership, allowing individuals and enterprises to maintain control over their information without relying on centralized authorities. This ensures that all interactions within the ecosystem are secure, transparent, and immutable. - -## Key Features - -- **Decentralization**: Blockchain enables DataHive to decentralize data ownership. Users maintain full control over their personal information without needing to trust centralized entities. - -- **Secure Transactions**: Blockchain provides a secure framework for transactions within the DataHive ecosystem. Encrypted transactions ensure that data is protected from unauthorized access or tampering. - -- **Transparency and Immutability**: All transactions are recorded on an immutable ledger, creating a transparent system where every action is traceable and verifiable. This enhances accountability and builds trust within the network. - -## Benefits of Blockchain Integration - -### 1. User Empowerment -Blockchain integration puts users in control of their data. By decentralizing data ownership, individuals and enterprises can decide how their information is shared and used. This fosters a sense of ownership and responsibility while reducing reliance on third-party intermediaries. - -### 2. Enhanced Security -Blockchain’s encrypted transactions and decentralized storage significantly reduce the risk of data breaches or unauthorized access. By eliminating single points of failure, DataHive ensures that user data remains secure at all times. - -### 3. Regulatory Compliance -Blockchain’s transparent nature helps ensure compliance with global regulations like GDPR. Users have clear visibility into how their data is being used and can exercise their rights more effectively (e.g., requesting deletion or modification of their data). Blockchain also provides an auditable trail that demonstrates compliance with privacy laws. - -## Integration with DataHive - -DataHive's blockchain integration allows various components of the ecosystem to interact seamlessly: - -- **Legalese Nodes**: These nodes leverage blockchain for legal data indexing and curation, ensuring that all actions are recorded accurately and transparently. Legalese Nodes create an immutable record of legal interactions within the network. - -- **Consent Management**: Blockchain technology is employed to manage user consent across the ecosystem. This ensures that permissions are respected and easily verifiable, allowing users to revoke or modify consent at any time while maintaining compliance with privacy regulations like GDPR. \ No newline at end of file diff --git a/docs/decentralized-nodes.md b/docs/decentralized-nodes.md deleted file mode 100644 index a5418b7..0000000 --- a/docs/decentralized-nodes.md +++ /dev/null @@ -1,32 +0,0 @@ -# DataHive Nodes - -In the DataHive ecosystem, decentralized nodes play a crucial role in managing data, ensuring security, and facilitating seamless interactions between various components. These nodes empower users by decentralizing control over data and enabling a more equitable and transparent legal framework. By distributing control across multiple nodes, DataHive reduces reliance on centralized entities, ensuring that users maintain sovereignty over their personal information. - -![Node Clusters](./Images/NodeClusters.png) - -## Node Types - -1. **[Legalese Nodes](https://github.com/datahiv3/Legalese-Nodes)**: These nodes focus on legal data indexing and curation within the DataHive network. They harness AI-driven insights to ensure that legal documents are processed and stored securely, providing users access to essential legal intelligence layers. - -2. **[Consent Nodes](https://github.com/datahiv3/Consent-Nodes)**: These nodes manage user permissions and consent across the entire ecosystem. They ensure compliance with global privacy regulations like GDPR, maintaining user sovereignty over their data. Consent nodes facilitate the secure sharing of data while respecting user preferences. - -## Benefits of Decentralized Nodes - -### 1. Enhanced Security -By distributing data across multiple nodes, DataHive reduces the risk of data breaches or unauthorized access. Each node operates independently, creating a secure environment for sensitive information. The decentralized nature ensures that no single point of failure can compromise the system. - -### 2. User Empowerment -Decentralized nodes allow users to maintain control over their data. Unlike traditional centralized systems where decisions about data usage are made by third parties, DataHive places these decisions directly in the hands of users. This empowers individuals and organizations to dictate how their information is stored, shared, and utilized. - -### 3. Compliance and Transparency -DataHive ensures that all data-related transactions are transparent and auditable by utilizing decentralized nodes. This builds trust among users and ensures adherence to legal regulations such as GDPR. Every action taken within the network is recorded immutably on the blockchain, making it easy to verify compliance. - -## Interaction with Other Components - -Decentralized nodes interact seamlessly with other elements of the DataHive ecosystem: - -- **On-Device AI**: AI running on user devices communicates with decentralized nodes to provide real-time data processing and insights. This ensures that users can benefit from personalized AI without compromising their privacy. - -- **Blockchain Integration**: Nodes leverage blockchain technology to secure transactions and ensure data integrity across the network. Blockchain provides an immutable ledger where all interactions are recorded transparently, further enhancing security and trust. - -This collaborative structure makes DataHive a powerful tool for managing and utilizing legal information in a privacy-centric manner. \ No newline at end of file diff --git a/docs/docs/NodeEconomics.md b/docs/docs/NodeEconomics.md deleted file mode 100644 index e69de29..0000000 diff --git a/docs/docs/NodeTokenomics.md b/docs/docs/NodeTokenomics.md deleted file mode 100644 index e69de29..0000000 diff --git a/docs/docs/RegenerativeEconomics.md b/docs/docs/RegenerativeEconomics.md deleted file mode 100644 index e69de29..0000000 diff --git a/docs/on-device-ai.md b/docs/on-device-ai.md deleted file mode 100644 index f403f57..0000000 --- a/docs/on-device-ai.md +++ /dev/null @@ -1,36 +0,0 @@ -# On-Device AI - -## Description - -In the DataHive ecosystem, **On-Device AI** is designed to provide personalized assistance directly on your device. This ensures that sensitive data remains private while allowing for real-time processing and insights. Unlike traditional cloud-based AI systems, DataHive's On-Device AI operates locally, ensuring that your data never leaves your personal device unless absolutely necessary. - -![Agentic Layer](../docs/Images/AgenticLayer.png) - -This approach guarantees that your relationship with AI is as intimate and private as an inner monologue—your data stays with you, and only you control how it’s used. - -## Key Features - -- **Local Processing**: All data is processed directly on the user’s device, minimizing the need for cloud interaction and protecting user privacy. This ensures that sensitive information remains secure and under your control. - -- **Seamless Integration**: While processing occurs locally, On-Device AI can connect securely to decentralized networks (such as blockchains or Web2 services) when necessary. This allows for a balance between privacy and usability, ensuring that users can still leverage external resources without compromising their data. - -- **Personalized Experiences**: The AI learns from your behavior and preferences over time, offering tailored recommendations that are relevant to you specifically. This personalized experience enhances decision-making by aligning with your unique needs and goals. - -## Benefits - -### 1. Enhanced Privacy -With all processing occurring on-device, users can be confident that their data is not exposed to third-party services or surveillance. This drastically reduces the risk of data breaches or unauthorized access, giving users peace of mind when interacting with their AI assistant. - -### 2. Immediate Feedback -On-Device AI provides real-time insights and recommendations based on local data processing. Whether it's helping you make decisions or offering suggestions based on your preferences, the AI responds instantly without needing to send data to external servers. - -### 3. User Empowerment -By maintaining control over both data and AI interactions, users benefit from a more meaningful and trusted relationship with technology. You are in charge of how your data is used, when it is shared (if ever), and what insights are generated from it. - -## Interaction with Other Components - -On-Device AI interacts seamlessly with other components of the DataHive ecosystem: - -- **Decentralized Nodes**: When needed, On-Device AI can communicate securely with decentralized nodes to access legal frameworks or other resources within the network. - -- **Blockchain Integration**: The AI can leverage blockchain technology to ensure secure transactions and maintain transparency in interactions that require external validation or verification. \ No newline at end of file diff --git a/docs/privacy-by-design.md b/docs/privacy-by-design.md deleted file mode 100644 index 7157136..0000000 --- a/docs/privacy-by-design.md +++ /dev/null @@ -1,24 +0,0 @@ -# Privacy by Design - -**Privacy by Design** is a fundamental principle of the DataHive ecosystem, ensuring that every layer of our technology prioritizes user privacy and data protection. It's not just a feature but a foundational pillar that shapes all aspects of the design and development process. From local data processing to secure consent management, DataHive ensures that users have full control over their personal information at all times. - -![Privacy by Design](./Images/AgenticLayer.png) - -## Key Features - -- **User Control**: Users maintain full control over their data within the DataHive ecosystem. They decide how their data is used, shared, or stored, ensuring complete autonomy. - -- **Default Settings**: Privacy settings are configured to be the most privacy-friendly by default. Users must give explicit consent for any data sharing or external processing. - -- **Minimal Data Collection**: DataHive only collects the minimal amount of data necessary for functionality. This reduces potential risks associated with data breaches or unauthorized access. - -## Implementation of Privacy by Design - -### 1. Local Data Processing -DataHive processes data locally on the user's device, ensuring that sensitive information never leaves the device unless absolutely necessary. This approach minimizes exposure to external threats and ensures that users retain control over their personal information. - -### 2. Secure Consent Management -DataHive uses **Consent Nodes** to manage user permissions and ensure compliance with global privacy regulations like GDPR. These nodes allow users to grant or revoke consent at any time, giving them full control over how their data is used within the ecosystem. - -### 3. Transparent Practices -Transparency is at the core of DataHive’s operations. All data-handling practices are fully transparent, allowing users to see how their data is being used at any given time. Users can also revoke consent or request modifications to their data whenever they choose. diff --git a/docs/seamless-connectivity.md b/docs/seamless-connectivity.md deleted file mode 100644 index 74798f0..0000000 --- a/docs/seamless-connectivity.md +++ /dev/null @@ -1,23 +0,0 @@ -# Seamless Connectivity - -In the DataHive ecosystem, **Seamless Connectivity** is a crucial feature that allows On-Device AI to interact securely with external resources. By enabling connections to decentralized networks—such as blockchains and Web2 services—DataHive ensures users can leverage a wide array of resources while maintaining privacy and control over their personal information. - -![Consent Legalese Data Assets](../docs/Images/ConsentLegaleseDataAssets.png) - -This ability to connect seamlessly with these external systems empowers users to access advanced functionalities without compromising their data security. Whether it's retrieving legal data from decentralized nodes or performing secure transactions on blockchain networks, Seamless Connectivity ensures that user data remains private and protected. - -## Key Features - -- **Secure Connections**: DataHive establishes secure, encrypted connections to external resources, ensuring that user data is not exposed during interactions. This protects against unauthorized access and ensures the integrity of your data. - -- **Privacy Preservation**: While facilitating access to broader ecosystems, DataHive ensures that the user’s data remains private. Only the necessary information is shared with external networks, adhering to the principle of data minimization. - -- **Enhanced Usability**: The ability to connect with decentralized nodes and blockchain networks enhances the overall user experience, providing more opportunities for data utilization without sacrificing privacy. - -## Examples of Seamless Connectivity - -Seamless Connectivity enhances user experience in several ways: - -- **Decentralized Nodes**: When accessing legal frameworks or specific data repositories, On-Device AI connects to decentralized nodes, retrieving necessary information while keeping sensitive user data secure. This allows users to benefit from legal intelligence layers without exposing their private information. - -- **Blockchain Integration**: Users can perform secure transactions within the DataHive ecosystem, leveraging blockchain for verification and transparency while their personal data remains private. Blockchain ensures that all interactions are recorded immutably without compromising user privacy. \ No newline at end of file diff --git a/docs/docs/DeveloperTokenomics.md b/profile/docs/docs/DeveloperPortal.md similarity index 100% rename from docs/docs/DeveloperTokenomics.md rename to profile/docs/docs/DeveloperPortal.md diff --git a/profile/docs/docs/DeveloperTokenomics.md b/profile/docs/docs/DeveloperTokenomics.md index e69de29..4f8aaeb 100644 --- a/profile/docs/docs/DeveloperTokenomics.md +++ b/profile/docs/docs/DeveloperTokenomics.md @@ -0,0 +1,78 @@ +# Developer Tokenomics in DataHive + +Developers play a crucial role in the DataHive ecosystem by building applications and services that leverage the network's various intelligence layers and data assets. This document outlines how developers interact with the DH token economy. + +## Token Utilization + +### Access to Intelligence Layers +Developers spend DH tokens to: +- Access Legal Intelligence for compliance automation +- Utilize Consent Intelligence for permission management +- Leverage Knowledge Models for application development +- Query Data Asset specifications and markets + +### Network Resources +- **API Access**: Developers stake DH tokens to access network APIs +- **Compute Resources**: Pay-per-use model for computational resources +- **Storage**: Token-based pricing for decentralized storage utilization + +## Revenue Streams + +### Application Development +Developers can earn DH tokens by: +- Creating user-facing applications +- Developing enterprise solutions +- Building data assetization tools +- Contributing to core protocol development + +### Intelligence Enhancement +Earn tokens through: +- Improving existing intelligence models +- Creating new knowledge graph connections +- Developing specialized AI models +- Contributing to the legal product library + +### Marketplace Participation +Generate revenue by: +- Building marketplace interfaces +- Creating data asset packaging tools +- Developing valuation mechanisms +- Implementing trading algorithms + +## Development Incentives + +### Ecosystem Grants +- Protocol improvement proposals +- Core infrastructure development +- Security enhancement initiatives +- User experience innovations + +### Staking Rewards +- Node operation participation +- Protocol security contributions +- Network resource provision +- Validation services + +## Technical Integration + +### Smart Contract Development +- Deploy contracts for data asset management +- Create automated compliance checks +- Implement consent management systems +- Build token distribution mechanisms + +### Application Framework +- SDK implementation +- API development +- Plugin architecture +- Integration libraries + +## Value Proposition + +Developers in the DataHive ecosystem can: +- Monetize applications through direct token earnings +- Participate in protocol governance +- Access comprehensive development resources +- Leverage existing intelligence layers + +For detailed technical documentation and integration guides, visit our [Developer Portal](./docs/DeveloperPortal.md). \ No newline at end of file diff --git a/docs/docs/IndividualTokens.md b/profile/docs/docs/docs/DeveloperPortal.md similarity index 100% rename from docs/docs/IndividualTokens.md rename to profile/docs/docs/docs/DeveloperPortal.md