method-figure

Turn "draw our method figure" from a one-shot gamble into the same audited spiral the framework uses for comics: a blueprint is the source of truth, the image model bakes the look, a cross-model panel + a deterministic diff keep it honest, and the loop converges to a publication-grade figure that is reproducible (re-run the blueprint) and auditable (a trace of every round).

Two things are simultaneously true: (a) gpt-image-2 CAN render a clean Figure-1 with legible labels when conditioned on a labeled blueprint — do not assume it garbles text; (b) on a free prompt it DRIFTS (renames phases, invents nodes, garbles a token, leaves pasted-looking floating labels). The blueprint + blind-transcribe-then-hard-diff loop turns (a) into a reliable result and catches (b) every round.