Technical Development Roadmap
Last updated
Last updated
The t3 Protocol represents a fundamental advancement in decentralized finance, specifically addressing the critical limitation of over-collateralization in on-chain lending. With the current DeFi lending market comprising only 0.5% of the $1.4 trillion global lending market, our protocol aims to bridge this gap through the implementation of AI-managed under-collateralized lending. This roadmap outlines our methodical approach to development and deployment, our timeline and technical implementation details.
Phase 0: Initial MVP (Q4 2024)
Our initial MVP was successfully launched during the Solana AI hackathon, establishing our foundational architecture on the Solana blockchain. Key achievements included:
Implementation of basic Solana integration and smart contract architecture
Development of initial risk theory and management
Initial implementation of AI agent interaction with smart contracts and account management
Integration with Jupiter for trade execution
Successful completion of preliminary testing phase
While the MVP demonstrated the core concept's viability, it highlighted the need for additional security layers and more sophisticated fund management capabilities.
Our initial phase focuses on establishing the foundational elements of the t3 protocol through careful, controlled testing and validation. We will begin by implementing our core risk engine, which serves as the cornerstone of our under-collateralized lending system. This engine integrates advanced portfolio theory with artificial intelligence to create a sophisticated risk assessment framework.
During the proof of concept phase, we will conduct extensive testing of our risk models through a systematic adversarial robustness testing program. This program will simulate thousands of market scenarios, including extreme market conditions and black swan events, to validate the reliability and accuracy of our risk calculations. We will employ multiple simulation approaches to stress test the system under various conditions, ensuring our risk models remain robust even in unprecedented market situations.
The initial user onboarding process will be highly controlled and methodical. We will begin by admitting users on an individual basis, allowing us to closely monitor and analyze each portfolio's performance. This careful approach enables us to validate our risk metrics in real-world conditions while maintaining strict control over potential risks. Each user's portfolio will serve as a valuable data point for refining our risk parameters and optimizing our models.
Throughout this phase, we will closely monitor system performance, including response times, calculation accuracy, and overall stability. This data will be crucial for fine-tuning our systems and preparing for broader deployment. We anticipate this initial phase to last approximately three months, during which we will gather essential insights into user behavior, model performance, and system reliability.
Development of unique vault architecture for each user on Solana
Implementation of AI agent management system for individual UAWs
Creation of infrastructure for UAW oversight
Risk-segmented meta-contract deployment
Secure interaction protocols between AI agents and meta-contracts
Integration of ZK-proof systems for verification
Implementation of zkSNARK circuits for validation
Development of proof generation and verification systems
Establishment and consolidation of validator network for transaction verification
Implementation of Shamir's Secret Sharing across oracle network
Development of multi-signature validation protocols
Implementation of Dynamic Risk Metric calculation systems
Integration of advanced portfolio theory components
Development of real-time risk adjustment mechanisms
Building upon the insights gained during our proof of concept phase, we will focus on enhancing our risk engine and expanding the capabilities of our AI agent. The risk engine improvements will center on implementing more sophisticated portfolio theory components, expanding the number of products the user is able to trade and refining our market cap-based risk adjustments. Initially, Solana will be supported, with further expansions to other blockchains planned for Q3 2025. Additionally, there will be a limitation on the type of products traded with a focus on sport trading, with an expansion to include derivatives in Q2 2025. This will allow for gradual incorporation of more complex risk methodologies/trading strategies to ensure a controlled testing environment.
A key advancement during this phase will be the integration of principal component analysis for detecting systemic risks within the crypto market. This enhancement will allow us to identify and account for complex market interconnections that might not be immediately apparent through traditional analysis methods. We will also implement real-time portfolio optimization capabilities, enabling our system to continuously adjust and rebalance portfolios for optimal risk-adjusted returns.
Our AI agent, will undergo significant capability expansion during this phase. We will enhance its decision-making capabilities with advanced portfolio optimization algorithms and sophisticated risk mitigation strategies. The agent will be able to provide more nuanced recommendations for portfolio adjustments and implement more sophisticated liquidation prevention mechanisms.
The third phase marks our transition from controlled testing to practical implementation through strategic partnerships with lending protocols and/or building t3’s personal pool via community staking. We will begin by establishing secure integration protocols with select lending partners, ensuring seamless and reliable communication between our risk management system and their lending platforms.
Initially, we will maintain conservative loan size limitations while we validate our system's performance in a broader market context. These limitations will be gradually adjusted based on system performance metrics and risk model accuracy. We will implement comprehensive monitoring systems to track every aspect of loan performance and risk metrics across our partner network.
A crucial aspect of this phase is the development of standardized APIs for lending partner integration. These APIs will ensure consistent risk data transmission and portfolio health monitoring across all partner platforms. We will also implement automated circuit breakers and risk management protocols to ensure system-wide stability.
The final phase of our initial roadmap focuses on integrating the T3AI token into our protocol and implementing advanced security measures. The T3AI token will serve multiple crucial functions within our ecosystem, including providing protocol collateral and enabling our token repurchase program.
We will implement a sophisticated collateral management system that integrates the T3AI token with our User Account Wallet (UAW) architecture. This system will enable efficient collateral posting and management while maintaining strict security standards. The token repurchase program will be automated through smart contracts, ensuring transparent and reliable execution of our tokenomics model.
During this phase, we will also strengthen our security infrastructure through multiple layers of protection. This includes regular security audits, formal verification of smart contracts, and implementation of advanced monitoring systems. We will establish comprehensive security protocols for all aspects of the system, from user authentication to transaction processing.
The UAW security model implements a multi-layered approach to ensure secure transaction processing and risk management:
This architecture ensures:
Secure initialization of user accounts
Protected management of assets through PDAs
Multi-level validation of all transactions
AI agent oversight with proven risk calculations
Risk Calculation and Verification Flow
Our risk calculation system implements a sophisticated verification process:
This process ensures:
Transparent risk calculation
Multiple validation layers
Verifiable computation through ZK proofs
Decentralized verification through validator network
The protocol's cross-chain expansion follows a systematic architecture:
Key features:
Solana as primary network
Secure bridge protocol for cross-chain operations
Synchronized risk management across chains
Unified validation layer
Conclusion
This roadmap represents our structured approach to implementing the t3 protocol. Each phase builds upon the previous ones, creating a robust and secure foundation for under-collateralized lending. Through careful execution of this roadmap, we aim to bridge the significant gap between traditional finance and DeFi lending markets.
