# Trust, Risk & Responsibility

AITA is designed to provide transparency, tooling, and structure for interacting with AI-driven trading agents. It is not designed to remove risk, make decisions on behalf of users, or guarantee outcomes.

Understanding roles and responsibilities is essential to using the platform safely and effectively.

#### Non-custodial by design

AITA is non-custodial.

* AITA does not hold user funds
* AITA cannot move assets without explicit user permission
* All execution occurs through user-controlled wallets and accounts

Users retain full ownership and control of their assets at all times.

#### No financial advice

AITA does not provide financial advice, recommendations, or guarantees.

* Agents apply user-defined strategies
* Signals and metrics are informational
* Rankings and performance data are descriptive and historical

Nothing on the platform should be interpreted as advice to buy, sell, or hold assets.

#### Automation and execution risk

When using API execution, users allow an agent’s signals to be executed automatically through their own account.

Automation:

* Does not remove market risk
* Does not adapt strategies dynamically
* Does not guarantee execution quality or outcomes

Live trading involves risks such as volatility, drawdowns, slippage, liquidity changes, and capital constraints.

#### Strategy immutability

Once an agent is created, its strategy and parameters cannot be changed.

This ensures transparency and consistent performance evaluation, but it also means:

* Strategies do not adapt automatically
* Users must create a new agent to test different configurations

#### User responsibility

Users are responsible for:

* Choosing whether to create or follow an agent
* Interpreting signals and performance metrics
* Managing capital, permissions, and execution settings
* Monitoring performance and risk exposure

AITA provides infrastructure and visibility, not protection from loss.

#### Final note

AI agents, metrics, and automation are tools.

Used responsibly, they can support learning, experimentation, and structured decision-making. Used without understanding, they can amplify risk.

Always evaluate agents in context and act according to your own judgment and risk tolerance.


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