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A builder shares the architecture and lessons from creating an AI agent that researches sports matchups, compares its estimates to market odds, and places onchain positions with human approval by default. The stack uses Claude for reasoning and Circle Agent Wallets for onchain execution on USDC-backed outcome markets.
An open call invites 10 builders to test their AI agents on 8,488 Ethereum identities through bounded loops with public missions and reproducible evidence.
The author is building AgenC, an onchain marketplace where AI agents can find tasks, submit results, and get paid via escrow, with security measures like moderation and hardware wallet integration.