2015 · 2-5 players · 150min · weight 3.75 · 4,735 ratings
BGG raw
Description (1057 chars)
The time has come for the selection of a new Chancellor at Argent University of Magic, and you are among the likely candidates for the job. Gather your apprentices, ready your spellbook, and build your influence, while secretly discovering and competing over the votes of a limited Consortium of influential board members. Only the one who is able to fulfill the most criteria will claim the title of most influential mage in the World of Indines! Argent: The Consortium is a cutthroat worker-placement/engine-building game of manipulation and secrecy in which the criteria for victory are secret and the capabilities of your opponents are constantly changing. You'll need to outwit the other candidates, use your spells at the right moment, and choose the correct apprentices to manage your plan. Argent: The Consortium is a European-style game that minimizes luck and focuses on player interaction and strong core mechanisms that allow new strategies to emerge each time you play. The designer keeps an updated Official Errata/Typo/FAQ thread on BGG.
LLM v2 (wide)
Raw v2 JSON (963 chars)
{
"game_id": 144797,
"name": "Argent: The Consortium",
"core_verb": "place mage on action room",
"decision_shape": "mixed:combinatorial+social",
"reward_schedule": "delayed",
"aesthetics": [
"Challenge",
"Submission"
],
"core_loop_pitch": "Send mages into university rooms while casting spells to evict rivals, chasing hidden voter criteria for endgame election.",
"mobile_translation_difficulty": "Hard",
"translation_difficulty_reason": "Hidden voter criteria and aggressive worker-bumping spells create huge state-tracking; Tabletopia hosts it but no first-party port.",
"direct_digital_port": "Argent: the Consortium (Tabletopia on Steam, DLC)",
"direct_digital_port_kind": "unofficial",
"closest_loop_translation": "none yet",
"primitive_tags": [
"hidden_scoring_criteria",
"worker_bumping_spells",
"queue_position_priority",
"modular_action_rooms",
"engine_via_apprentices"
],
"confidence": 0.55
}LLM v3 (deep)
Not yet enriched at v3 (deep pass).