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16:9, do it for a much lesser known texan food to die for Do this for [Food / Dish / Meal / Snack / Beverage / Ingredient-Based Culinary Item]: 1. The Semantic Inference Engine (The Culinary Anatomy Board): Input A is a food item, prepared dish, snack, beverage, or edible composition. Analyze Input A and infer 6 Structural Components: The Central Hero Form: determine the most recognizable full assembled form of Input A as the centerpiece. The Core Ingredients: identify the 4–8 major components that define Input A’s structure, flavor, and identity. The Functional Roles: for each component, infer its culinary role — base, filling, binder, garnish, sauce, seasoning, texture layer, aromatic element, structural shell, etc. The Visual Breakdown: determine how each component should be separately represented — whole ingredient, chopped form, bowl of prepared component, sauce sample, leaf, grain cluster, powder, slice, or texture sample. The Analytical Metrics: infer 1–2 simple explainer charts or diagrams per component, such as flavor profile, texture intensity, heat level, crunch factor, acidity balance, sweetness, richness, freshness, or aroma spectrum. The Scientific Overlay: generate plausible educational-style labels such as simplified chemistry notation, structural classification, ingredient family, preparation type, or culinary property markers — visually credible, not hardcoded. 2. The Immutable Container (The Clean Educational Poster): Goal: a modern food anatomy infographic board. white framed poster or mounted display board ultra-clean background central assembled food item in the middle surrounding ingredient callout boxes distributed symmetrically around the hero object thin connecting lines from each ingredient panel to the relevant part of the central food 3. The Poster Construction (Centerpiece + Callout System): Build the poster as a structured educational layout: a large bold title at the top generated from Input A in the format of an anatomy / breakdown / composition study one central high-quality rendered image of Input A 4–8 surrounding ingredient boxes, each containing: a clean visual of one inferred component the component name one short scientific / pseudo-technical notation line one or two small chart graphics or profile diagrams color-code the component boxes subtly according to ingredient category if appropriate 4. No Hardcoding Constraint: Do not assume taco ingredients, sandwich ingredients, or any fixed food structure. Instead: if Input A is layered, infer layers if Input A is wrapped, infer shell + filling system if Input A is plated, infer sauce + protein + garnish + base if Input A is a beverage, infer liquid phases, toppings, foam, ice, aromatics, or inclusions if Input A is a dessert, infer crust, filling, glaze, texture contrast, decoration, and flavor accents if Input A is simple, infer fewer but more essential components The infographic must be generated from the variable food item itself. 5. Educational Graphic Style: The board should feel like a hybrid of: culinary science poster museum food explainer modern menu lab graphic clean commercial infographic Use: bold sans-serif typography neat line connectors minimalist charts clean color accents organized spacing and strong readability 6. Visual Syntax & Atmosphere: Camera: straight-on poster view, orthographic or near-orthographic Lighting: bright, soft, shadow-controlled studio lighting Background: clean tiled wall, neutral interior, or pure white presentation space Detail: premium food-render realism in the central item and ingredient samples Aesthetic: educational, appetizing, precise, modern, and visually balanced 7. Output Constraint: The final image should work for any Input A: tacos ramen croissants burgers sushi salad bowls dumplings bubble tea pizza pastries curries sandwiches All labels, component choices, and charts must be inferred from the variable dish, with no hardcoded ingredient set. Output: ONE image, square aspect ratio, clean framed educational food anatomy poster for Input A, featuring a central hero dish, AI-inferred ingredient callout panels, minimalist data charts, labeled connectors, and no hardcoded subject details.

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Based on: Rare Texan dish dissected into components with scientific overlay

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