2x2 Grid: Data Physicalization AI Image Prompt
2x2 grid, AI picks subjects: INPUT ::= [Product] + [Proof Point Or Number] STEP_1 :: interpret the proof identify what the number actually means in human terms: duration, quantity, speed, savings, strength, coverage, capacity, efficiency determine the simplest physical unit viewers can recognize without reading a chart STEP_2 :: convert data into matter represent the proof using real objects, distance, volume, height, repetition, accumulation, or spatial scale every visible unit should correspond logically to the underlying claim avoid abstract bars, graphs, percentages, and digital dashboards STEP_3 :: place the product position the product beside, within, supporting, producing, or overcoming the physicalized data product provides immediate scale reference relationship between claim and product must remain visually obvious STEP_4 :: create credibility introduce natural irregularity: imperfect stacking, compression, gaps, shadows, weight, material deformation show evidence that the enormous quantity physically exists in the scene use people or architecture only when needed for scale STEP_5 :: render spec large-format campaign photography extreme clarity and dimensional depth data should be understandable before reading any accompanying copy forbidden: infographic overlays, impossible duplication artifacts, mathematically meaningless repetition, perfectly cloned objects, fake-looking crowds
Content: Structure: 2x2 grid + product & proof number; five-step formula: interpret proof, physicalize data, place product, credibility, render spec; stresses real scale, material, campaign photography, bans charts/clones.
Pros: Clear reusable workflow; strong physicalization and credibility constraints.
Cons: Lacks lens, color, composition detail; 2x2 consistency and numeric scale hard to control.
Reference image: No obvious reference-image dependency.
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