EEG Meditation Demo Orchestrates AI Cues

This is more interesting as a systems demo than as a meditation product: it turns EEG into an automated, multimodal control loop that decides when to intervene instead of just visualizing signals.

• –The stack is unusually pragmatic: OpenBCI for acquisition, Python for signal handling, TouchDesigner for realtime media orchestration, and AI for cue selection
• –The key idea is conditional intervention, not constant feedback; that makes it feel closer to an agent than a dashboard
• –Multimodal outputs matter here because meditation guidance can be contextualized through several channels at once, not just audio or text
• –The project sits in the overlap of BCI, creative tooling, and AI orchestration, which makes it relevant to experimental developers even if it is not yet a product
• –The main limitation is obvious: this depends on noisy consumer EEG and a lot of hand-tuned system design, so the demo is more proof of concept than validated method