2020 · 1-4 players · 120min · weight 2.93 · 56,611 ratings
BGG raw
Description (1239 chars)
On an uninhabited island in uncharted seas, explorers have found traces of a great civilization. Now you will lead an expedition to explore the island, find lost artifacts, and face fearsome guardians, all in a quest to learn the island's secrets. Lost Ruins of Arnak combines deck-building and worker placement in a game of exploration, resource management, and discovery. In addition to traditional deck-builder effects, cards can also be used to place workers, and new worker actions become available as players explore the island. Some of these actions require resources instead of workers, so building a solid resource base will be essential. You are limited to only one action per turn, so make your choice carefully... what action will benefit you most now? And what can you afford to do later... assuming someone else doesn't take the action first!? Decks are small, and randomness in the game is heavily mitigated by the wealth of tactical decisions offered on the game board. With a variety of worker actions, artifacts, and equipment cards, the set-up for each game will be unique, encouraging players to explore new strategies to meet the challenge. Discover the Lost Ruins of Arnak! —description from the publisher
LLM v2 (wide)
Raw v2 JSON (891 chars)
{
"game_id": 312484,
"name": "Lost Ruins of Arnak",
"core_verb": "play card or place worker",
"decision_shape": "combinatorial",
"reward_schedule": "engine_compounding",
"aesthetics": [
"Discovery",
"Challenge"
],
"core_loop_pitch": "Each turn, play a card to move/buy or place a worker on an action; explore tiles, fight guardians, climb research track.",
"mobile_translation_difficulty": "Easy",
"translation_difficulty_reason": "Compact deck and one-action-per-turn pacing fit mobile perfectly. CGE digital edition is in development on Steam.",
"direct_digital_port": "Lost Ruins of Arnak (Steam, CGE — upcoming)",
"closest_loop_translation": "none yet",
"primitive_tags": [
"deckbuilding_meets_worker_placement",
"research_track_dual_climb",
"guardian_boss_fight",
"site_tile_reveal",
"fear_card_pollution"
],
"confidence": 0.9
}LLM v3 (deep)
Not yet enriched at v3 (deep pass).