> For the complete documentation index, see [llms.txt](https://aiw3.gitbook.io/aiw3/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://aiw3.gitbook.io/aiw3/use-cases.md).

# Use Cases

AIW3 supports multiple user profiles by abstracting complex trading processes into accessible service-based interactions.

#### **1. agent-driven execution Followers (Retail Users)**

Users can participate in advanced trading strategies without building them manually.

* Follow selected strategies or wallets
* Allocate capital to vaults
* Configure risk preferences
* Participate in automated execution

This enables simplified access to professional-grade strategies while maintaining full asset custody.

#### **2. agent-driven execution Creators (Traders / Quants)**

Experienced users can design and deploy their own strategies within the AIW3 system.

* Build and parameterize strategies
* Backtest and simulate performance
* Deploy strategies as reusable services
* Monetize through follower participation

Strategies become shareable and scalable components within the ecosystem.

#### **3. Advanced Users (Composable Strategies)**

Advanced participants can combine multiple components to construct complex workflows.

* Integrate multiple strategies
* Customize execution logic
* Define multi-layer risk controls
* Coordinate across chains and protocols

This enables higher-level agent-driven execution composition beyond single-agent-driven execution execution.