What we need here, I think, is a GAN-like approach. Use a generator + a discriminator. The generator could be like GPT-3, but it needs another model to filter out the nonsense. We work the same way - come up with crazy ideas, then check them out to see if they hold ... 'I had an idea, but nah, it wouldn't work'. It's a process supported by different skills.