How to grade an AI agent's output before it ships

The surge in AI agents generating vast amounts of output, from code to research documents, has outpaced human review capabilities, raising concerns about the quality and reliability of unreviewed work entering production. To tackle this issue, an "acceptance gate" is proposed: an automated system that checks AI-generated content before it's deployed. This method avoids the impracticality of manual reviews and the risks of blind trust in the AI itself, aiming to ensure that only high-quality, verified outputs are used. This approach is crucial as it addresses the growing need for reliable, scalable oversight in an increasingly automated world.