Impact Evaluator CROPS
Michilit's Team
Problem Statement
Funding allocators for Ethereum public goods lack consistent, structured tools to evaluate project impact. Subjective assessments lead to misallocated capital, overlooked long-term effects, and reputational risk. Impact Evaluator CROPS deploys a specialized AI agent that applies the CROPS evaluation framework to score projects on Direct Ecosystem Value, Measurable Outcomes, Reach, Quality, Public Goods Contribution, Sustainability, and Innovation — then generates a multi-agent debate with votes weighted by effect order to inform funding decisions.
An AI agent that generates structured impact evaluation rubrics for Web3 public goods projects using the CROPS framework defined by the Ethereum Foundation. The agent scores projects across 7 dimensions, deploys multi-perspective debate agents weighted by voting power, and produces funding recommendations that account for first/second/third-order effects, incentive shifts, reputational risk, reversibility, and opportunity cost.
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Michilit
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