Invitation à l'écosystème de campus de mots isométriques

2x2 grid, 16:9, do this for 4 fortune 500 companies: class WordCampusEcosystem: def __init__(self, topic): self.topic = topic self.word = derive_short_display_word(topic) self.zones = infer_ecosystem_zones( topic, count="adaptive 5..10", criteria=[ "topic relevance", "spatial usefulness", "user activity", "visual recognizability", "architectural potential" ] ) self.letter_architecture = build_word_as_walkable_buildings(self.word) self.base = infer_campus_base(topic) self.micro_buildings = infer_support_structures(topic) self.users = infer_tiny_user_groups(topic) self.objects = infer_topic_objects(topic) self.landscape = infer_landscape_system(topic) self.materials = infer_topic_material_dna(topic) def letter_module(self, letter, zone): return { "letter": letter, "role": "inhabitable architectural mass", "zone": zone, "features": infer_doors_windows_rooms_roofs_displays(zone), "details": infer_topic_specific_microdetails(zone) } def campus(self): return { "central_word": self.letter_architecture, "supporting_spaces": self.micro_buildings, "users": self.users, "objects": self.objects, "landscape": self.landscape, "base": self.base } def render(self): return """ Rendu sous forme de miniature architecturale isométrique premium : bâtiments-mots lisibles, zones d'écosystème thématiques, petites personnes, accessoires, chemins, places, paysage, éclairage de studio produit propre, et réalisme d'échelle détaillé. """