Contributors

Users: Use

Users come to AIAV looking for agents that feel practical and familiar. They can create or choose AI Avatars, subscribe to features, and connect them to daily routines. Control stays with the user: they decide what an AV can reference, how long it should remember, and when to reset or export. This gives people a sense of ownership, and the result is an experience that feels personal rather than generic.

Users: Contribution

The same people who benefit from using AVs can also help them improve. Contributions can be as small as a single prompt or as involved as an extended dialogue, ratings on model responses, or light labeling work. Each input is logged so that its value can be recognized. Instead of disappearing into a black box, contributions are evaluated for quality through automated checks and community feedback. When the input proves useful, contributors receive $AIAV or usage credits in return.

Reward Settlement Flow

1

Recording

Each contribution is stored with a unique trace, making it clear who provided what.

2

Evaluation

Users can evaluate AIAV’s responses and share feedback. This feedback helps improve the system and ensures that useful contributions are recognized.

3

Allocation

Contributions that meet the standard are scored and matched with a corresponding reward.

4

Use

Users can apply their rewards directly within the ecosystem. Earned tokens may be used to increase the computing power available for AI generation, upgrade service tiers, or unlock additional features, creating a cycle where contributions fuel further growth.

This process keeps rewards tied to meaningful actions. People know how their efforts are valued, and the ecosystem gains a steady stream of high-quality feedback.

Developers

Developers extend what AVs can do. They integrate new tools, build vertical agents, and package capabilities for the marketplace. The platform provides SDKs and APIs for safe data access with explicit user consent. Models and tools are tested in a sandbox before listing, and usage is metered so developers can price subscriptions or receive revenue shares when their components are called by AVs. To keep quality high, publishing may require basic attestations, optional staking for visibility, and ongoing performance reviews. When developers improve their components based on user feedback, everyone benefits: the AVs become more useful, and the ecosystem gains durable utility.