An acceptance gate is proposed as a solution to the challenge of reviewing AI agent outputs at scale. This automated checkpoint grades agent work against explicit policies, assigning one of four outcomes: ship, route to fix, quarantine for human review, or block. The critical design choice is to use a "hostile-by-default" critic, aligned oppositely to the agent, to ensure rigorous evaluation rather than agreeable rubber-stamping. This system can be integrated into agent pipelines, allowing agents to iterate on their work until it passes the acceptance criteria. AI
IMPACT This approach could enable scalable deployment of AI agents by providing a robust automated quality control mechanism.
RANK_REASON The item describes a new method/tool for evaluating AI agent output, which is a product/infrastructure development.
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