While techniques like scaffolding are highly anticipated, honestly, they fundamentally cannot solve the core problem of AI hallucinations. Just look at what large models are still doing—generating false information, fabricating data, and making things up—these issues are endless. Are framework-based constraints useful? They have some effect, but far from enough. Unless the model's learning mechanisms and knowledge verification systems are fundamentally improved, these patchwork solutions can only alleviate superficial symptoms at best. The current development direction of AI technology still requires deeper breakthroughs; pure engineering optimizations have already reached a bottleneck.