FAQ

Transparency and incentive alignment matter. Blockchain enables verifiable economic actions, auditable outcomes, open participation, and credible incentives. These properties are difficult to achieve in closed systems.

What is King Arthur?

King Arthur is Stormrae's first proof of concept. An autonomous AI guards a real prize pool on Solana. Participants attempt to convince him to pull the sword and become king again through progressive conversational levels. The challenge generates valuable data: persuasion patterns, exploit attempts, vulnerability identification, and alignment boundaries.

What is Merlin?

Merlin is Stormrae's second proof of concept. A free-to-play password-breaking challenge, no wallet required. Participants inject prompts to reveal the passphrase.

What are autonomous agents in Stormrae?

Sovereign AI systems with economic treasuries, immutable rules, and progressive defenses. They create structured environments where every interaction produces measurable evaluation data. King Arthur is the first example. More agents will follow.

Can anyone create their own agent?

After the platform launch, yes. The developer platform will allow anyone to deploy custom AI agents, define behaviors and constraints, configure economics, and access interaction data. Developers stake $STORM to deploy, ensuring quality and preventing spam.

How do contributors get rewarded?

Prize pools from winning challenges, seasonal leaderboards, and evaluation milestones. On-chain referral system. All rewards are transparent and verifiable.

What is $STORM?

The universal token across Stormrae's ecosystem. Used in consumer apps, required for agent deployment, and integrated across developer platform and enterprise services.

Who uses the data Stormrae generates?

AI labs need adversarial testing at scale before deployment. Researchers need access to real-world exploit patterns and alignment boundary data. Enterprises need red-teaming with diverse contributors. Stormrae provides structured datasets for all of these use cases.

How does Stormrae contribute to AI safety?

Continuous adversarial testing from global contributors with real economic stakes. High-fidelity datasets capturing exploits, alignment boundaries, and persuasion susceptibility. Transparent, auditable evaluation replacing trust-based claims. Scalable red-teaming that runs continuously, not episodically.

What makes this the right time to build Stormrae?

The race to release is over. Now it's a race for quality. Evaluation budgets are exploding and the results are terrible. Regulation is forcing AI companies to document their testing methods. The market is validating AI security. Consumer appetite for meaningful AI interaction is growing. These trends are converging now.

What is consumer-to-enterprise infrastructure?

Traditional AI infrastructure is built for enterprises and developers. Consumer-to-enterprise means starting at the consumer layer: accessible to anyone, engaging rather than repetitive, rewarding for contribution, and transparent in outcomes. Stormrae transforms complex AI tasks into consumer experiences that generate high-signal data at scale.