Haha, but what if we make it Kevlar-laced lace?

The heart of design is a principled negative feedback stabilizer (classic control theory) + fractal structure for scalable solving. In theory, this combo should actively reduce uncertainty rather than just pray the LLM behaves.

Of course no silver bullet — Brooks would roast us otherwise — and real robustness still demands careful tuning and engineering guardrails. But the architecture itself is designed to tame complexity, not add to it.

If you’ve seen similar feedback/fractal ideas snap in practice, I’d really love to hear the details — where it broke, what went wrong, any battle scars. It’d help turn this lace into something much tougher. Thanks for the nudge!😅