AI on LitVM

The AI category on LitVM is centered almost entirely on autonomous agent interaction rather than model training or compute infrastructure. Rather than executing machine learning models directly on-chain, the listed projects treat AI agents as active economic actors capable of settling microtransactions, negotiating purchases, competing in prediction markets, or assessing wallet behavior. The category divides across distinct functional tracks. One group focuses on agent-driven commerce and payment rails, deploying autonomous agents that negotiate terms under smart contract escrow constraints or building infrastructure to verify and settle automated USDC transactions. Another track directs agent autonomy toward speculative entertainment, using autonomous entities as the basis for prediction market competitions. Standing apart from these agent-execution platforms is address-level analytics, which applies machine intelligence to on-chain telemetry for wallet reputation scoring. Absent from the selection are decentralized compute networks or model-hosting frameworks. Instead, the current entries represent separate, purpose-built experiments testing how autonomous software might transact, source goods, generate spectator markets, and evaluate user data on the rollup.