System Architecture

Underlying Tasmil’s user-friendly interface is a sophisticated AI and blockchain integration. This section outlines how Tasmil works behind the scenes to deliver the above experiences securely and efficiently.

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Agent Base Layer

At the core of Tasmil Finance is an advanced AI Layer behind a user-friendly interface. It converts natural-language input into executable DeFi operations. The engine combines large language models with financial models, processing real-time on-chain data and selected off-chain signals to deliver context-aware recommendations and actions.

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Smart Contract and API Integration

The platform integrates directly with integrated DEXs, lending protocols, staking modules and bridges through secure, audited smart contracts. When off-chain data or centralized exchange access is required, Tasmil employs oracles and API bridges to extend its operational reach while maintaining trust and security.

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Wallet Control and Security

The architecture is non-custodial. Transactions must be signed by connected wallets, ensuring asset control remains external to the AI agent. The system supports three operational modes with built-in guardrails:

• Manual Mode: The agent only generates recommendations and requires explicit approval for execution.

• Semi-Autonomous Mode: The agent executes routine, low-risk tasks automatically while requiring approval for major or high-risk actions.

• Full Autonomy Mode: The agent executes strategies within predefined boundaries without requesting approval for each action, subject to strict rules and limits configured in advance.

Comprehensive logs and real-time notifications ensure full auditability of the agent’s actions.

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Simulation and Testing

Strategies and bots can be backtested or simulated using historical data before live deployment. This allows evaluation of expected performance, volatility and potential risks, increasing confidence in execution outcomes.

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Scalability and Infrastructure

Tasmil Finance employs a hybrid architecture. Critical operations run on-chain for transparency, while computationally intensive AI tasks are processed off-chain on secure servers. A credit-based system allocates compute resources to ensure fairness and responsiveness across all operations.