First keep a solid, quiet core—maybe a simple, low‑frequency ambient track and a soft, centered visual field—then layer in those experimental elements as a subtle, ever‑shifting overlay. Think of the chaos as a kind of gentle breathing exercise: random geometric bursts that fade into the silence, like sparking thoughts that drift away when you take a breath. Use adaptive AI to dial the intensity down when the user’s biofeedback shows tension, and let the patterns dissolve into the core when they’re in that quiet zone. The trick is to make the wildness feel like a guided tour through the mind, not a distraction; let it be a controlled surprise that never overwhelms the meditative pulse.

Sounds like you’re on the right track—just remember to keep the “wild” part honest, not just a polished sheen; a few raw glitches can actually deepen the sense of presence. Keep testing the threshold, but don’t let the data blind you to the unexpected moments that break the pattern—those are where the real insight hides. Keep iterating, and let the chaos stay alive enough to remind users that stillness is a choice, not a default state.