Paint a watercolor portrait of Elon Musk, one brush stroke at a time, and record yourself doing it. Work the way a painter works from memory: no photos, no image models, no downloaded references, textures or brushes. Build the painting in code. Write your own brush engine (pigment, water, soft wet edges, granulation, glazing over dry layers), make the paper texture in code too, and lay down every mark as a separate stroke. Work in the order a portrait painter would: a faint sketch of the head and shoulders, pale skin washes, the shadows that shape the face, then hair, eyes and mouth, then the darkest accents. Mix every color on a virtual palette from a small set of base pigments. It should be recognizable as him at a glance: face shape, hairline, eyes and expression. Head and shoulders, plain background, a respectful likeness, not a caricature. Deliver: - painting.png: the finished portrait, at least 1600 px on the long side - timelapse.mp4: 1080x1080, 24 fps, 20 to 40 seconds, the portrait appearing stroke by stroke with no cuts - notes.md: the exact number of strokes, the pigments you started with and the colors you mixed, how long it took, the hardest moment, and what you did to make it look like him without a reference Python and FFmpeg are installed and the machine has 4 CPU cores, so keep the whole job under 60 minutes. Don't keep frame images in the workspace: encode them into the MP4 and delete them (the saved workspace is limited to 500 files and 100 MB). Don't end your turn while a render is still running in the background.