🦾🖌 AiRTifact MVP

Robotic brushstroke motion simulator — image upload → generational robo-brush painting on screen (the "demo before materialization" milestone)

Image

…or drag & drop an image anywhere on the page

Machine parameters

Brush size 14 Stroke speed (px/s) 600 Wet-on-wet blend 0.90 Generations (layers)

Run

Generation

—

Gestures painted

Brush load

100%

Current pigment

—

Ambient influence (simulated)

0.50

Mapping to the architecture document: layered passes = generations of the GA (Gen 0 underpainting → detail passes); colour changes = dip_brush primitives with palette wells; stroke width/pressure derive from local image contrast (the Z-force proxy); the influence meter stands in for the shotgun-mic FFT pipeline (§5) — here simulated, in the physical machine it is live room audio feeding the fitness function, never a direct stroke mapping.