ChainGPT

Game devs can leverage AI agents (NPCs, story engines), while NFT creators can use generative models for art creation and dynamic metadata updates.

Yes, developers and small teams can upload models and sell inference access on-chain, unlocking new revenue streams away from cloud monopolies.

Developers can deploy on-chain AI agents for automated trading, governance bots, and predictive DeFi protocols—all with cryptographic proofs.

Use cases include finance (fraud/risk scoring), healthcare, logistics, compliance, and decentralized identity—leveraging provable AI for auditability.

The platform targets AI developers, enterprises, Web3 projects, token holders, compute/data providers, and researchers—all seeking transparent, scalable AI infrastructure.

Phased rollout includes: Phase 1 (foundation, lite on-chain models) Phase 2 (scale with marketplaces and dual-path execution) Phase 3 (enterprise integrations, analytics, orchestration)—more detail...

Governance is DAO-based, with token holders voting on upgrades and treasury allocation. This structure ensures community-led evolution over a central party.

With the data marketplace, data owners can tokenize data licenses and earn token revenues when others use their data. The approach preserves privacy as well through cryptographic hashes.

The marketplace is where providers can publish, monetize, or reuse AI. Model creators will receive execution usage tokens directly. As such, there is no need for intermediaries.

The providers receive token rewards with real-time payouts and other reputation-based incentives. All they have to do is run models, verify outputs, or contribute datasets. They can also earn by ho...