# Personalization Module

An agent that doesn't understand your preferences and needs is limited in its usefulness. Think of it as having a personal assistant who doesn't take the time to learn about you or your desires—it would be hard to rely on them for tailored support. This is where cApps shine. They are designed to evolve by learning your preferences, routines, and goals over time. As they collect data on your habits and decision-making patterns, they become more adept at providing solutions and recommendations that align with your unique lifestyle.

This learning layer allows the agent to adapt and act more like a human counterpart—someone who gets to know you through repeated interactions and insights into your behavior. With this understanding, the agent can deliver results that are not only relevant but also increasingly sophisticated. It can suggest products, services, or actions that match your current mood, needs, or long-term objectives. In essence, cApps offer a dynamic experience that continuously improves, ensuring you're met with smarter, more accurate responses each time you engage with them.

As these applications continue to learn and adapt, they become invaluable tools that enhance efficiency and decision-making, making your interactions far more personal and effective. By anticipating your needs, they can help you accomplish tasks faster, solve problems more accurately, and even introduce new possibilities that align with your interests. This learning ability is what sets cApps apart from static, one-size-fits-all solutions, making them a powerful asset in everyday life.

### Sample Preference Implementation

```typescript
interface Preference {
    get: (
        userId: string,
        preferenceKey: string,
        state?: State
    ) => Promise<string>;

    set: (
        userId: string,
        preferenceKey: string,
        preferenceValue: string,
        state?: State
    ) => Promise<void>;

    list: (
        userId: string,
        state?: State
    ) => Promise<Preference[]>;
}

interface Preference {
    key: string;
    value: string;
    updatedAt: Date;
}
```
