Blockchain‑integrated AI community platforms bring together decentralized infrastructure, model marketplaces, and community governance to manage the lifecycle of AI models, datasets, services and social moderation. As of 2026, interest in these platforms stems from growing demand for verifiable provenance, tokenized incentives for data and model contributors, and transparent, on‑chain governance for safety and access controls. In practice, projects such as Clawchain.ai (emerging community‑centric stacks) and Chromia (a relational blockchain infrastructure) illustrate two vectors: application‑level marketplaces and developer‑friendly chains that embed data relationships and access rules. These platforms intersect with several tool classes: collaborative workspaces (Notion, Gumnut) for shared documentation, knowledge and audit trails; enterprise assistants and orchestration (IBM watsonx Assistant) for integrating AI agents into workflows; and model infrastructure providers (Together AI, Mistral AI) for hosting, fine‑tuning and inference of foundation models used by decentralized apps. Key functional areas include decentralized AI infrastructure (on‑chain attestations, verifiable compute, decentralized storage), AI tool marketplaces (discoverability, licensing, revenue sharing), community moderation tools (reputation systems, slashing, dispute resolution), AI governance tools (on‑chain proposals, policy manifests, access gating) and AI security governance (provenance, secure enclaves, MPC and differential privacy). For teams evaluating or building in this space, the relevant tradeoffs are interoperability vs. performance, on‑chain transparency vs. privacy, and centralized convenience vs. decentralized incentives. The combination of mature collaboration tools and emerging blockchain primitives makes these platforms timely for organizations prioritizing auditable AI supply chains, community stewardship and new incentive models—without promising that blockchains are a one‑size‑fits‑all solution.