AI Capabilities

For Developers

Pre-Built Agents

Developers can access DOLR AI’s suite of pre-built AI agents designed for high performance and adaptability. These agents are optimized for core functionalities that enhance application performance:

Content Moderation

Automate detecting and filtering inappropriate, harmful, or irrelevant content, ensuring that applications maintain user safety and compliance. This is particularly useful for platforms like forums, social networks, or marketplaces.

Ranking Agents

Implement ranking agents to prioritise and organise content based on user engagement metrics, ensuring the most relevant and impactful material is displayed. Applications such as search engines, e-commerce platforms, or personalised news feeds can benefit significantly.

Gen AI

Leverage agents that can produce high-quality media assets, such as images, videos, and text. These tools allow developers to integrate creative features into branding, advertising, or user-generated content platforms.

Tamper-Proof and Verifiable AI Models

DOLR AI integrates blockchain technology to ensure that AI models and datasets are secure, reliable, and free from bias. Developers can:

• Train models using blockchain-verified datasets to maintain data integrity.

• To validate the training process and outputs, provide audit trails for users and stakeholders.

• Gain user trust by demonstrating that models are ethical and transparent.

For instance, if a healthcare AI model is being trained using data from social smart contracts, that data needs to be tamper-proof and legit, as the model will not yield valid results if this is not the case. With DOLR AI, you can reliably check if the data is correct and effectively build accurate and efficient AI models.

Cross-dApp Integration

Developers can enable AI agents to operate seamlessly across multiple dApps within the DOLR ecosystem. This interoperability allows applications to:

• Share user insights and activity data securely, improving cross-platform personalisation.

• Implement ecosystem-wide features, like universal recommendation systems or shared content moderation frameworks.

Cost-Efficient AI Computation with ZKPs

DOLR AI leverages cloud-based infrastructure for AI model execution, providing scalable and efficient computational resources without the high costs associated with on-chain processing. Zero-knowledge proofs (ZKPs) ensure that off-chain AI computations remain verifiable, tamper-proof, and transparent on the blockchain. This approach balances performance and decentralisation, allowing developers to build robust AI applications without compromising trust.

For Users

Personal AI

The personal AI assistant is at the heart of DOLR AI’s user experience, a powerful tool that integrates seamlessly into daily online activities. These assistants deliver highly personalised support by leveraging advanced user embeddings and creating condensed, encrypted user preferences, behaviours, and interaction history profiles. These embeddings ensure that the assistant operates with high accuracy and relevance while maintaining user privacy.

Use Cases

The personal AI is exceptionally versatile and capable of handling a multitude of tasks that adapt to each user’s needs.

• Task Management: Personal AI can organise schedules, set reminders, and streamline routine tasks, acting as a virtual assistant.

• Content Personalisation: By analysing preferences and behaviour, personal AI suggests relevant articles, media, or services tailored to the user’s interests.

• Financial Insights: Track spending patterns, identify saving opportunities, and provide budgeting advice, helping users make informed financial decisions.

Generative Assistance:

Users can create personalised content using their assistant's generative AI capabilities, such as social media posts, designs, or marketing materials.

Control Over Data

A standout feature of DOLR AI’s personal AI is the high level of user control over their data. Users can:

• Adjust privacy settings to limit AI access.

• Delete personal data at any time.

• Decide how much information contributes to AI model training.

Model Validation

In addition to personal AI, DOLR AI strongly emphasises validation and fairness within its ecosystem, ensuring that all AI models are transparent, ethically sound, and free from biases. Users can verify whether an AI model is trained on authentic and correct data. DOLR AI provides a transparent audit trail for each model’s training data, ensuring users can independently verify its accuracy and integrity. This open validation process is a significant step forward in AI transparency, addressing one of the critical issues in today’s AI landscape, where model training is often hidden, and data sources can be unclear or biased.

Future Vision: Proof of Personhood

DOLR AI envisions a future where identity verification within decentralised systems is both secure and privacy-preserving through Proof of Personhood. This blockchain-based solution ensures that every participant in the ecosystem is uniquely verified, adding an essential layer of authenticity without compromising user privacy.

Vision for Verification

• A decentralised, cryptographic proof system will validate users’ uniqueness on the blockchain without revealing personal details.

• Distributed validation mechanisms will replace centralised identity verification systems, ensuring transparency and fraud prevention.

Digital Identifiers

• Users will receive blockchain-backed identity tokens as their unique identifier within the ecosystem.

• These tokens will be securely stored in users' wallets, allowing them to control and share their identity across multiple dApps without intermediaries.

Interoperability Across Ecosystem

• Proof of Personhood will allow users to carry their verified identity across different applications, enabling seamless and permissionless participation in governance, financial activities, and personalised services.

• This vision eliminates issues like identity fraud, bot activity, and impersonation within decentralised platforms.

By developing a trustless identity framework, DOLR AI will create an inclusive and secure ecosystem where users can interact with confidence and control over their identity data.