Scene opens on a completely empty room — bare walls, blank floors, neutral lighting.
Suddenly, faint wireframe outlines materialize in mid-air, sketching the suggested placement of furniture. These geometric wireframes pulse subtly, then begin to cycle through rapid texture and material tests: different sofa fabrics, wood finishes, rug patterns, wall colors, and art styles flicker in quick succession as if the AI is evaluating options.
Around the room, floating AR-style interface elements appear — translucent selection menus, sliders, probability percentages, and branching decision trees that visualize the AI’s reasoning in real time.
As the algorithm “chooses,” each piece of furniture gradually solidifies from wireframe → textured geometry → full photorealistic form, resolving into a beautifully staged interior with:
•coherent design style
•accurate scale and proportions
•complementary colors
•realistic lighting and shadows
Before finalizing, the room rapidly cycles through 2–3 alternate staging variations — modern, traditional, eclectic — each snapping into place in a quick, stylish montage.
Finally, the AI settles on the optimal staging.
A satisfied home buyer enters the frame, nodding in approval.