2018 · 1-100 players · 25min · weight 1.84 · 34,683 ratings
BGG raw
Description (1096 chars)
As an architect in Welcome To..., you want to build the best new town in the United States of the 1950s by adding resources to a pool, hiring employees, and more. Welcome To... plays like a roll-and-write dice game in which you mark results on a score-sheet...but without dice. Instead you flip cards from three piles to make three different action sets with both a house number and a corresponding action from which everyone chooses one. You use the number to fill in a house on your street in numerical order. Then you take the action to increase the point value of estates you build or score points at the end for building parks and pools. Players also have the option of taking actions to alter or duplicate their house numbers. And everyone is racing to be the first to complete public goals. There's lots to do and many paths to becoming the best suburban architect in Welcome To...! Because of the communal actions, game play is simultaneous and thus supports large groups of players. With many varying strategies and completely randomized action sets, no two games will feel the same!
LLM v2 (wide)
Raw v2 JSON (927 chars)
{
"game_id": 233867,
"name": "Welcome To...",
"core_verb": "pick number, write house",
"decision_shape": "combinatorial",
"reward_schedule": "delayed",
"aesthetics": [
"Challenge",
"Discovery"
],
"core_loop_pitch": "Flip three card pairs, everyone picks one number-action combo and writes a numbered house onto their street.",
"mobile_translation_difficulty": "Easy",
"translation_difficulty_reason": "Roll-and-write loop with shared random reveals fits a single screen perfectly; only Board Game Arena offers it now but a clean port would be trivial.",
"direct_digital_port": "Welcome To... (Board Game Arena, browser)",
"closest_loop_translation": "none yet",
"primitive_tags": [
"roll_and_write_no_dice",
"shared_input_private_sheet",
"monotonic_number_constraint",
"objective_card_race",
"permit_refusal_penalty",
"estate_size_optimization"
],
"confidence": 1
}LLM v3 (deep)
Not yet enriched at v3 (deep pass).