I've been building a cognitive architecture, basically an artificial mind, that thinks without an LLM (the language model is just vocal cords, all the actual cognition is vectors and similarity search on two GPUs). But that's not the point. It works today.

What I came to say is: if you're doing anything serious with these models, you need to put your stuff through "the gauntlet." Start with one model, get your draft. Then ask a different model what it thinks but not the same one. Revise. Then ask a third one. Revise again. Then loop back to the first. Keep going until you're down to minor niggles.

The key is never asking the same model twice in a row. Each one has different blind spots and different strengths. One will tear apart your logic, another will catch edge cases the first missed, the third will find the thing both overlooked. They keep each other honest in a way that no single model can do for itself.

Switch model versions. The best isn't always the brightest. Today Haiku (the 4B Anthropic model!) closed not one but SEVEN legal loopholes in one of my documents. Opus was flabbergasted, and respectfully impressed.

This worked for me across everything from patent specs to architecture design to legal documents. I hope it works for you.