This content originally appeared on DEV Community and was authored by Peace Thabiwa
The Problem
AI can simulate dreams, but can’t interpret human imagery beyond visuals.
Our subconscious flows in pattern, rhythm, and time — not pixels.
The BINFLOW Solution
DreamNet uses temporal tagging on sensory streams — labeling each imagined or remembered object with emotional tempo and neural phase signatures.
MVP Markup
from binflow import DreamTracer
dream = DreamTracer(user=”peace”)
dream.capture([“sound”, “color”, “motion”])
dream.encode_tempo_phase()
Real-World Impact
A framework for decoding imagination — the blueprint for future cognitive VR.
DreamNet turns thoughts into structured flow.
By Peace Thabiwa 
— SAGEWORKS_AI | The BINFLOW Initiative
This content originally appeared on DEV Community and was authored by Peace Thabiwa